default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDCoRR, February 2021
- Abderrazak Chahid
, Ibrahima N'Doye, John E. Majoris, Michael L. Berumen, Taous-Meriem Laleg-Kirati:
Model Predictive Control Paradigms for Fish Growth Reference Tracking in Precision Aquaculture. - Beatrice van Amsterdam, Matthew J. Clarkson, Danail Stoyanov:
Gesture Recognition in Robotic Surgery: a Review. - Devin Willmott, Anit Kumar Sahu, Fatemeh Sheikholeslami, Filipe Condessa, J. Zico Kolter:
You Only Query Once: Effective Black Box Adversarial Attacks with Minimal Repeated Queries. - Joseph Lubars, Anna Winnicki, Michael Livesay, R. Srikant:
Optimistic Policy Iteration for MDPs with Acyclic Transient State Structure. - Shamma Nasrin, Diaa Badawi, Ahmet Enis Çetin, Wilfred Gomes, Amit Ranjan Trivedi:
MF-Net: Compute-In-Memory SRAM for Multibit Precision Inference using Memory-immersed Data Conversion and Multiplication-free Operators. - Soya Park, April Yi Wang, Ban Kawas, Q. Vera Liao, David Piorkowski, Marina Danilevsky:
Facilitating Knowledge Sharing from Domain Experts to Data Scientists for Building NLP Models. - Erik Burman, Peter Hansbo, Mats G. Larson:
Error estimates for the Smagorinsky turbulence model: enhanced stability through scale separation and numerical stabilization. - Soham Chakraborty, Sourav Patel, Murti V. Salapaka:
Recovery of Power Flow to Critical Infrastructures using Mode-dependent Droop-based Inverters. - Hemant Kumar Aggarwal, Mathews Jacob:
Model Adaptation for Image Reconstruction using Generalized Stein's Unbiased Risk Estimator. - Meir Feder, Yury Polyanskiy:
Sequential prediction under log-loss and misspecification. - Aleksander Czechowski, Georgios Piliouras:
Poincaré-Bendixson Limit Sets in Multi-Agent Learning. - Xiaohan Kang, Bruce E. Hajek:
Lower Bounds on Information Requirements for Causal Network Inference. - Michael T. C. Chiu, Uros Kalabic:
Debt Representation in UTXO Blockchains. - Jae Shin Yoon, Kihwan Kim, Jan Kautz, Hyun Soo Park:
Neural 3D Clothes Retargeting from a Single Image. - Mark Wilkening, Udit Gupta, Samuel Hsia, Caroline Trippel, Carole-Jean Wu, David Brooks, Gu-Yeon Wei:
RecSSD: Near Data Processing for Solid State Drive Based Recommendation Inference. - Sayak Mukherjee, Renke Huang, Qiuhua Huang, Thanh Long Vu, Tianzhixi Yin:
Scalable Voltage Control using Structure-Driven Hierarchical Deep Reinforcement Learning. - Elizabeth Qian, Ionut-Gabriel Farcas, Karen Willcox:
Reduced operator inference for nonlinear partial differential equations. - Aditya Deshpande, Alessandro Achille, Avinash Ravichandran, Hao Li, Luca Zancato, Charless C. Fowlkes, Rahul Bhotika, Stefano Soatto, Pietro Perona:
A linearized framework and a new benchmark for model selection for fine-tuning. - Xuhui Zhou, Maarten Sap, Swabha Swayamdipta, Noah A. Smith, Yejin Choi:
Challenges in Automated Debiasing for Toxic Language Detection. - Amjad Dehman, Bilal Farooq:
Are Work Zones and Connected Automated Vehicles Ready for a Harmonious Coexistence? A Scoping Review and Research Agenda. - Mengfan Yao, Siqian Zhao, Shaghayegh Sahebi, Reza Feyzi-Behnagh:
Stimuli-Sensitive Hawkes Processes for Personalized Student Procrastination Modeling. - Mengfan Yao, Siqian Zhao, Shaghayegh Sahebi, Reza Feyzi-Behnagh:
Relaxed Clustered Hawkes Process for Procrastination Modeling in MOOCs. - Ling Huang, Su Ruan, Thierry Denoeux:
Belief function-based semi-supervised learning for brain tumor segmentation. - Sangjun Lee, Byung-Cheol Min:
Distributed Control of Multi-Robot Systems in the Presence of Deception and Denial of Service Attacks. - Henrique Ferraz de Arruda, Felipe Maciel Cardoso, Guilherme Ferraz de Arruda, Alexis R. Hernandez, Luciano da F. Costa, Yamir Moreno:
Modeling how social network algorithms can influence opinion polarization. - Hailiang Liu, Zhongming Wang, Peimeng Yin, Hui Yu:
Positivity-preserving third order DG schemes for Poisson--Nernst--Planck equations. - Nathan Clement, Alan Schoen, Arnold P. Boedihardjo, Andrew Jenkins:
Synthetic Data and Hierarchical Object Detection in Overhead Imagery. - Melven Röhrig-Zöllner, Jonas Thies, Achim Basermann:
Performance of low-rank approximations in tensor train format (TT-SVD) for large dense tensors. - Martin R. Pfaller, Jonathan Pham, Nathan M. Wilson, David W. Parker, Alison L. Marsden:
On the periodicity of cardiovascular fluid dynamics simulations. - Jasmine Sekhon, Cody H. Fleming:
SCAN: A Spatial Context Attentive Network for Joint Multi-Agent Intent Prediction. - Yixuan Wu, Yanzhi Zhang:
A universal solution scheme for fractional and classical PDEs. - Parker B. Edwards, Jonathan D. Hauenstein, Clifford D. Smyth:
Certified evaluations of Hölder continuous functions at roots of polynomials. - Konpal Shaukat Ali, Ekram Hossain, Md. Jahangir Hossain:
Partial Non-Orthogonal Multiple Access (NOMA) in Downlink Poisson Networks. - Maruan Al-Shedivat, Liam Li, Eric Poe Xing, Ameet Talwalkar:
On Data Efficiency of Meta-learning. - Nil-Jana Akpinar, Maria De-Arteaga, Alexandra Chouldechova:
The effect of differential victim crime reporting on predictive policing systems. - Donald M. Stull:
The Dimension Spectrum Conjecture for Planar Lines. - Guanghui Lan:
Policy Mirror Descent for Reinforcement Learning: Linear Convergence, New Sampling Complexity, and Generalized Problem Classes. - Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi:
When the Umpire is also a Player: Bias in Private Label Product Recommendations on E-commerce Marketplaces. - Ivan V. Bajic:
Latent-Space Inpainting for Packet Loss Concealment in Collaborative Object Detection. - Shahram Mollahasani, Melike Erol-Kantarci, Mahdi Hirab, Hoda Dehghan, Rodney Wilson:
Actor-Critic Learning Based QoS-Aware Scheduler for Reconfigurable Wireless Networks. - Roel Van Beeumen, Lana Perisa, Daniel Kressner, Chao Yang:
A Flexible Power Method for Solving Infinite Dimensional Tensor Eigenvalue Problems. - Mingliang Xiong, Mingqing Liu, Qingwei Jiang, Jie Zhou, Qingwen Liu, Hao Deng:
Retro-Reflective Beam Communications with Spatially Separated Laser Resonator. - Haruya Sakashita, Christoph Flothow, Noriko Takemura, Yusuke Sugano:
DRIV100: In-The-Wild Multi-Domain Dataset and Evaluation for Real-World Domain Adaptation of Semantic Segmentation. - Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley:
Expressive Neural Voice Cloning. - Zhengzhong Tu, Chia-Ju Chen, Li-Heng Chen, Yilin Wang, Neil Birkbeck, Balu Adsumilli, Alan C. Bovik:
Regression or Classification? New Methods to Evaluate No-Reference Picture and Video Quality Models. - Alexander Zeier, Alexander Wiesmaier, Andreas Heinemann:
Zur Integration von Post-Quantum Verfahren in bestehende Softwareprodukte. - Soravitt Sangnark, Phairot Autthasan, Puntawat Ponglertnapakorn, Phudit Chalekarn, Thapanun Sudhawiyangkul, Manatsanan Trakulruangroj, Sarita Songsermsawad, Rawin Assabumrungrat, Supalak Amplod, Kajornvut Ounjai, Theerawit Wilaiprasitporn:
Revealing Preference in Popular Music Through Familiarity and Brain Response. - S. H. Shabbeer Basha, Mohammad Farazuddin, Viswanath Pulabaigari, Shiv Ram Dubey, Snehasis Mukherjee:
Deep Model Compression based on the Training History. - Zhenghao Liu, Kaitao Zhang, Chenyan Xiong, Zhiyuan Liu:
OpenMatch: An Open-Source Package for Information Retrieval. - Ambedkar Dukkipati, Rajarshi Banerjee, Ranga Shaarad Ayyagari, Dhaval Parmar Udaybhai:
Stay Alive with Many Options: A Reinforcement Learning Approach for Autonomous Navigation. - Weizhe Yuan, Pengfei Liu, Graham Neubig:
Can We Automate Scientific Reviewing? - Chao Li, Balaji Palanisamy, Runhua Xu, Jinlai Xu, Jingzhe Wang:
SteemOps: Extracting and Analyzing Key Operations in Steemit Blockchain-based Social Media Platform. - Tiffany Hwu, Mia Levy, Steven Skorheim, David Huber:
Matching Representations of Explainable Artificial Intelligence and Eye Gaze for Human-Machine Interaction. - Letizia Jaccheri, Cristina Pereira, Swetlana Fast:
Gender Issues in Computer Science: Lessons Learnt and Reflections for the Future. - (Withdrawn) Coupling innovation method and feasibility analysis of garbage classification.
- Nicola Melluso, Andrea Bonaccorsi, Filippo Chiarello, Gualtiero Fantoni:
Rapid detection of fast innovation under the pressure of COVID-19. - Yaoyu Zhang, Tao Luo, Zheng Ma, Zhi-Qin John Xu:
Linear Frequency Principle Model to Understand the Absence of Overfitting in Neural Networks. - Andres Ferraro, Yuntae Kim, Soohyeon Lee, Biho Kim, Namjun Jo, Semi Lim, Suyon Lim, Jungtaek Jang, Sehwan Kim, Xavier Serra, Dmitry Bogdanov:
Melon Playlist Dataset: a public dataset for audio-based playlist generation and music tagging. - Gang Peng, Zhenyu Ren, Hao Wang, Xinde Li:
A self-supervised learning-based 6-DOF grasp planning method for manipulator. - Christian M. Dahl, Emil N. Sørensen:
Time Series (re)sampling using Generative Adversarial Networks. - George Cann, Anthony Bourached, Ryan-Rhys Griffiths, David G. Stork:
Resolution enhancement in the recovery of underdrawings via style transfer by generative adversarial deep neural networks. - Jaime Moraga, Gurbet Gurkan, H. Sebnem Düzgün:
Monitoring the Impacts of a Tailings Dam Failure Using Satellite Images. - Nikita P. Desai, Vipul K. Dabhi:
Taxonomic survey of Hindi Language NLP systems. - Ari Pakman, Dar Gilboa, Elad Schneidman:
Estimating the Unique Information of Continuous Variables. - Jiawei Zhang, Yanchun Zhang, Xiaowei Xu:
ObjectAug: Object-level Data Augmentation for Semantic Image Segmentation. - Patrick Diehl, Dominic Marcello, Parsa Amini, Hartmut Kaiser, Sagiv Shiber, Geoffrey C. Clayton, Juhan Frank, Gregor Daiß, Dirk Pflüger, David Eder, Alice Koniges, Kevin A. Huck:
Performance Measurements within Asynchronous Task-based Runtime Systems: A Double White Dwarf Merger as an Application. - Tong Guo:
Learning From How Human Correct. - Matteo Macchini, Manana Lortkipanidze, Fabrizio Schiano, Dario Floreano:
The Impact of Virtual Reality and Viewpoints in Body Motion Based Drone Teleoperation. - Radu Dogaru, Ioana Dogaru:
NL-CNN: A Resources-Constrained Deep Learning Model based on Nonlinear Convolution. - Chengwei Zhang, Yangzhou Jiang, Wei Zhang, Chengyu Gu:
MUSE: Multi-Scale Temporal Features Evolution for Knowledge Tracing. - Pranali Bora, Tulika Awalgaonkar, Himanshu Palve, Raviraj Joshi, Purvi Goel:
ICodeNet - A Hierarchical Neural Network Approach for Source Code Author Identification. - Ruo Li, Wei Zhong:
An efficient mapped WENO scheme using approximate constant mapping. - Xuejun Li, Ran Ding, Xiao Liu, Jia Xu, Yun Yang, John C. Grundy:
EdgeWorkflowReal: An Edge Computing based Workflow Execution Engine for Smart Systems. - Lekshmi Ramesh, Chandra R. Murthy, Himanshu Tyagi:
Phase Transition for Support Recovery from Gaussian Linear Measurements. - Rutuja Taware, Shraddha Varat, Gaurav Salunke, Chaitanya Gawande, Geetanjali Kale, Rahul Khengare, Raviraj Joshi:
ShufText: A Simple Black Box Approach to Evaluate the Fragility of Text Classification Models. - Qing-Long Zhang, Yu-Bin Yang:
SA-Net: Shuffle Attention for Deep Convolutional Neural Networks. - Shilun Lin, Fenglong Xie, Xinhui Li, Li Lu:
Triple M: A Practical Neural Text-to-speech System With Multi-guidance Attention And Multi-band Multi-time Lpcnet. - Yiqiu Dong, Chunlin Wu, Shi Yan:
A fast method for simultaneous reconstruction and segmentation in X-ray CT application. - Sebastian Vizcay, Panagiotis Kourtesis, Ferran Argelaguet, Claudio Pacchierotti, Maud Marchal:
Electrotactile Feedback in Virtual Reality For Precise and Accurate Contact Rendering. - Sabah Al-Fedaghi:
Conceptual Temporal Modeling Applied to Databases. - Jakob Stolberg-Larsen, Stefan Sommer:
Atlas Generative Models and Geodesic Interpolation. - Joanna Grzyb, Jakub Klikowski, Michal Wozniak:
Hellinger Distance Weighted Ensemble for Imbalanced Data Stream Classification. - Linbo Qiao, Tao Sun, Hengyue Pan, Dongsheng Li:
Inertial Proximal Deep Learning Alternating Minimization for Efficient Neutral Network Training. - Bhanu Prakash Reddy Guda, Aparna Garimella, Niyati Chhaya:
EmpathBERT: A BERT-based Framework for Demographic-aware Empathy Prediction. - Rafael F. Reale, Walter da Costa Pinto Neto, Joberto S. B. Martins:
BAMSim Simulator. - William W. Howard, Charles E. Thornton, Anthony F. Martone, R. Michael Buehrer:
Multi-player Bandits for Distributed Cognitive Radar. - Eva Vanmassenhove, Dimitar Sht. Shterionov, Matthew Gwilliam:
Machine Translationese: Effects of Algorithmic Bias on Linguistic Complexity in Machine Translation. - Maurício Gruppi, Sibel Adali, Pin-Yu Chen:
Fake it Till You Make it: Self-Supervised Semantic Shifts for Monolingual Word Embedding Tasks. - Wen-Chin Huang, Chia-Hua Wu, Shang-Bao Luo, Kuan-Yu Chen, Hsin-Min Wang, Tomoki Toda:
Speech Recognition by Simply Fine-tuning BERT. - Seyed Ziae Mousavi Mojab, Seyedmohammad Shams, Hamid Soltanian-Zadeh, Farshad Fotouhi:
Epistocracy Algorithm: A Novel Hyper-heuristic Optimization Strategy for Solving Complex Optimization Problems. - Chris Hobbs, Waqar Ahmed:
Using Bayesian Modelling to Predict Software Incidents. - Ian Colbert, Jake Daly, Kenneth Kreutz-Delgado, Srinjoy Das:
A Competitive Edge: Can FPGAs Beat GPUs at DCNN Inference Acceleration in Resource-Limited Edge Computing Applications? - Nicole Han, Sudhanshu Srivastava, Aiwen Xu, Devi Klein, Michael Beyeler:
Deep Learning-Based Scene Simplification for Bionic Vision. - Jeremy Barnes, Lilja Øvrelid, Erik Velldal:
If you've got it, flaunt it: Making the most of fine-grained sentiment annotations. - Mahbubur Rahman, Dali Ismail, Venkata P. Modekurthy, Abusayeed Saifullah:
LPWAN in the TV White Spaces: A Practical Implementation and Deployment Experiences. - Wendson A. S. Barbosa, Aaron Griffith, Graham E. Rowlands, Luke C. G. Govia, Guilhem J. Ribeill, Minh-Hai Nguyen, Thomas A. Ohki, Daniel J. Gauthier:
Symmetry-Aware Reservoir Computing. - Violet Xinying Chen, John N. Hooker:
Fairness through Optimization. - Ilya Kavalerov, Frank Zheng, Wojciech Czaja, Rama Chellappa:
Cortical Features for Defense Against Adversarial Audio Attacks. - Gal Vardi, Daniel Reichman, Toniann Pitassi, Ohad Shamir:
Size and Depth Separation in Approximating Natural Functions with Neural Networks. - Pedram Fekri, Ali Akbar Safavi, Mehrdad Hosseini Zadeh, Peyman Setoodeh:
Metalearning: Sparse Variable-Structure Automata. - Nayna Jain, Karthik Nandakumar, Nalini K. Ratha, Sharath Pankanti, Uttam Kumar:
Efficient CNN Building Blocks for Encrypted Data. - Orestis Papadigenopoulos, Constantine Caramanis:
Recurrent Submodular Welfare and Matroid Blocking Bandits. - Mayank Gupta, Lingjun Chen, Denny Yu, Vaneet Aggarwal:
A Supervised Learning Approach for Robust Health Monitoring using Face Videos. - Juan Felipe Hernández Albarracín, Adín Ramírez Rivera:
Video Reenactment as Inductive Bias for Content-Motion Disentanglement. - Mauro Maggioni, Jason Miller, Hongda Qiu, Ming Zhong:
Learning Interaction Kernels for Agent Systems on Riemannian Manifolds. - Li Zhou, Gilles Barthe, Justin Hsu, Mingsheng Ying, Nengkun Yu:
A Quantum Interpretation of Bunched Logic for Quantum Separation Logic. - Milad Vaali Esfahaani, Yanbo Xue, Peyman Setoodeh:
Deep Reinforcement Learning-Based Product Recommender for Online Advertising. - Benjamin Capps, Jacob Schrum:
Using Multiple Generative Adversarial Networks to Build Better-Connected Levels for Mega Man. - Prosenjit Bose, Pilar Cano, Rolf Fagerberg, John Iacono, Riko Jacob, Stefan Langerman:
Fragile Complexity of Adaptive Algorithms. - Aref Hakimzadeh, Yanbo Xue, Peyman Setoodeh:
Enacted Visual Perception: A Computational Model based on Piaget Equilibrium. - Mir Lodro, Steve Greedy, Sirio Belga Fedeli, Christopher Smartt, Ana Vukovic, David W. P. Thomas, Gabriele Gradoni:
Statistical Characterization of Wireless MIMO Channels in Mode-Stirred Enclosures. - Xue-Lei Lin, Michael K. Ng, Yajing Zhi:
A parallel-in-time two-sided preconditioning for all-at-once system from a non-local evolutionary equation with weakly singular kernel. - Lingtong Kong, Xiaohang Yang, Jie Yang:
OAS-Net: Occlusion Aware Sampling Network for Accurate Optical Flow. - Dongliang Chang, Yixiao Zheng, Zhanyu Ma, Ruoyi Du, Kongming Liang:
Fine-Grained Visual Classification via Simultaneously Learning of Multi-regional Multi-grained Features. - Zhian Kuang, Liting Sun, Huijun Gao, Masayoshi Tomizuka:
Precise Motion Control of Wafer Stages via Adaptive Neural Network and Fractional-Order Super-Twisting Algorithm. - Yunkai Yu, Zhihong Yang, Yuyang You, Guozheng Liu, Peiyao Li, Zhicheng Yang, Wenjing Shan:
Spectral Roll-off Points: Estimating Useful Information Under the Basis of Low-frequency Data Representations. - Wei Jiang, Buyang Li:
A perimeter-decreasing and area-conserving algorithm for surface diffusion flow of curves. - Wissam Kontar, Soyoung Ahn:
Real-time Monitoring of Autonomous Vehicle's Time Gap Variations: A Bayesian Framework. - Bing Wei, Kuangrong Hao, Lei Gao:
MLMA-Net: multi-level multi-attentional learning for multi-label object detection in textile defect images. - Yishuai Li, Benjamin C. Pierce, Steve Zdancewic:
Model-Based Testing of Networked Applications. - Stephanie Ger, Diego Klabjan, Jean Utke:
Classification Models for Partially Ordered Sequences. - Yang Zhang, Moyun Liu, Yang Yang, Yanwen Guo, Huiming Zhang:
A Unified Light Framework for Real-time Fault Detection of Freight Train Images. - Ruchit Agrawal, Daniel Wolff, Simon Dixon:
Structure-Aware Audio-to-Score Alignment using Progressively Dilated Convolutional Neural Networks. - Yiming Peng, Hisao Ishibuchi:
Niching Diversity Estimation for Multi-modal Multi-objective Optimization. - Guangsheng Bao, Yue Zhang:
Contextualized Rewriting for Text Summarization. - Lanbo Lin, Yujiu Yang, Zhenhua Guo:
AACP: Model Compression by Accurate and Automatic Channel Pruning. - Majid Asgari-Bidhendi, Behrooz Janfada, Amir Havangi, Sayyed-Ali Hossayni, Behrouz Minaei-Bidgoli:
An Unsupervised Language-Independent Entity Disambiguation Method and its Evaluation on the English and Persian Languages. - Liqun Yang, Yijun Yang, Yao Wang, Zhenyu Yang, Wei Zeng:
The distance between the weights of the neural network is meaningful. - Longyuan Li, Junchi Yan, Xiaokang Yang, Yaohui Jin:
Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting. - Ralf R. Müller, Bernhard Gäde, Ali Bereyhi:
Linear Computation Coding. - Pooja Nayak Muralidhar, B. Sundar Rajan:
Multi-access Coded Caching from a New Class of Cross Resolvable Designs. - Wenzhuo Yang, Yipeng Zhou, Miao Hu, Di Wu, James Xi Zheng, Hui Wang, Song Guo:
Gain without Pain: Offsetting DP-injected Nosies Stealthily in Cross-device Federated Learning. - Sagor Sarker:
BNLP: Natural language processing toolkit for Bengali language. - Wenyuan Kong, Teng Fei, Thom Jencks:
Emotion and color in paintings: a novel temporal and spatial quantitative perspective. - Jie Yang, Ziyi Liu, Ulian Shahnovich, Orly Yadid-Pecht:
Tone Mapping Based on Multi-scale Histogram Synthesis. - Zhi Chen, Fan Yang, Wenbing Tao:
Cascade Network with Guided Loss and Hybrid Attention for Finding Good Correspondences. - Arieh Iserles, Karolina Kropielnicka, Katharina Schratz, Marcus Webb:
Solving the linear semiclassical Schrödinger equation on the real line. - Michael Thomas Knierim, Christoph Berger, Pierluigi Reali:
Open-Source Concealed EEG Data Collection for Brain-Computer-Interfaces - Real-World Neural Observation Through OpenBCI Amplifiers with Around-the-Ear cEEGrid Electrodes. - Pranay Lohia:
Priority-based Post-Processing Bias Mitigation for Individual and Group Fairness. - Hendrik Speleers:
Computation of multi-degree Tchebycheffian B-splines. - Teja Kanchinadam, Zihang Meng, Joseph Bockhorst, Vikas Singh, Glenn Fung:
Graph Neural Networks to Predict Customer Satisfaction Following Interactions with a Corporate Call Center. - Sven Hofmann:
A Trust-Based Approach for Volunteer-Based Distributed Computing in the Context of Biological Simulation. - Reza Hadi Mogavi, Xiaojuan Ma, Pan Hui:
Characterizing Student Engagement Moods for Dropout Prediction in Question Pool Websites. - Alessandro Suglia, Yonatan Bisk, Ioannis Konstas, Antonio Vergari, Emanuele Bastianelli, Andrea Vanzo, Oliver Lemon:
An Empirical Study on the Generalization Power of Neural Representations Learned via Visual Guessing Games. - Mark Standke, Abdullah Kiwan, Annalena Lange, Silvan Berg:
Introduction of a novel word embedding approach based on technology labels extracted from patent data. - Teja Kanchinadam, Qian You, Keith Westpfahl, James Kim, Siva Gunda, Sebastian Seith, Glenn Fung:
A Simple yet Brisk and Efficient Active Learning Platform for Text Classification. - Jules Talloen, Joni Dambre, Alexander Vandesompele:
PyTorch-Hebbian: facilitating local learning in a deep learning framework. - Adam Polyak, Lior Wolf, Yossi Adi, Ori Kabeli, Yaniv Taigman:
High Fidelity Speech Regeneration with Application to Speech Enhancement. - Longyuan Li, Jihai Zhang, Junchi Yan, Yaohui Jin, Yunhao Zhang, Yanjie Duan, Guangjian Tian:
Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting. - Eran Malach, Gilad Yehudai, Shai Shalev-Shwartz, Ohad Shamir:
The Connection Between Approximation, Depth Separation and Learnability in Neural Networks. - Xiaosen Wang, Xuanran He, Jingdong Wang, Kun He:
Admix: Enhancing the Transferability of Adversarial Attacks. - Kyung-Wha Park, Jung-Woo Ha, Junghoon Lee, Sunyoung Kwon, Kyung-Min Kim, Byoung-Tak Zhang:
M2FN: Multi-step Modality Fusion for Advertisement Image Assessment. - Pengrui Quan, Ruiming Guo, Mani B. Srivastava:
Towards Imperceptible Query-limited Adversarial Attacks with Perceptual Feature Fidelity Loss. - Nikita Puchkin, Nikita Zhivotovskiy:
Exponential Savings in Agnostic Active Learning through Abstention. - Alexander Bentkamp, Jasmin Blanchette, Sophie Tourret, Petar Vukmirovic, Uwe Waldmann:
Superposition with Lambdas. - Yiming Lei, Hongming Shan, Junping Zhang:
Meta ordinal weighting net for improving lung nodule classification. - Chang Wei Tan, Angus Dempster, Christoph Bergmeir, Geoffrey I. Webb:
MultiRocket: Effective summary statistics for convolutional outputs in time series classification. - Neo C. K. Yiu:
Toward Blockchain-Enabled Supply Chain Anti-Counterfeiting and Traceability. - Eliseu Silva Torres, Rafael F. Reale, Leobino N. Sampaio, Joberto S. B. Martins:
A SDN/OpenFlow Framework for Dynamic Resource Allocation based on Bandwidth Allocation Model. - Bruno Jardim, Ricardo Rei, Mariana S. C. Almeida:
Multilingual Email Zoning. - Shaoshuai Shi, Li Jiang, Jiajun Deng, Zhe Wang, Chaoxu Guo, Jianping Shi, Xiaogang Wang, Hongsheng Li:
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection. - Kelly B. Wagman, Lisa Parks:
Beyond the Command: Feminist STS Research and Critical Issues for the Design of Social Machines. - Matthew B. A. McDermott, Brendan Yap, Tzu-Ming Harry Hsu, Di Jin, Peter Szolovits:
Adversarial Contrastive Pre-training for Protein Sequences. - Yuan Wu, Diana Inkpen, Ahmed El-Roby:
Mixup Regularized Adversarial Networks for Multi-Domain Text Classification. - Boshko Koloski, Senja Pollak, Blaz Skrlj, Matej Martinc:
Extending Neural Keyword Extraction with TF-IDF tagset matching. - Anthony C. Constantinou, Zhigao Guo, Neville Kenneth Kitson:
Information fusion between knowledge and data in Bayesian network structure learning. - Adrian Korban, Serap Sahinkaya, Deniz Ustun:
New Type I Binary [72, 36, 12] Self-Dual Codes from Composite Matrices and R1 Lifts. - Steven T. Dougherty, Adrian Korban, Serap Sahinkaya, Deniz Ustun:
Group Matrix Ring Codes and Constructions of Self-Dual Codes. - Yichun Hu, Nathan Kallus, Masatoshi Uehara:
Fast Rates for the Regret of Offline Reinforcement Learning. - Alejandro Bellogín, Alan Said:
Improving Accountability in Recommender Systems Research Through Reproducibility. - Stefan Horoi, Jessie Huang, Guy Wolf, Smita Krishnaswamy:
Visualizing High-Dimensional Trajectories on the Loss-Landscape of ANNs. - Hirak Doshi, N. Uday Kiran:
Nonlinear Evolutionary PDE-Based Refinement of Optical Flow. - Alon Cohen, Haim Kaplan, Tomer Koren, Yishay Mansour:
Online Markov Decision Processes with Aggregate Bandit Feedback. - Nicolas Boullé, Alex Townsend:
Learning elliptic partial differential equations with randomized linear algebra. - Simone Stella, Christian Vergara, Massimiliano Maines, Domenico Catanzariti, Pasquale Claudio Africa, Cristina Demattè, Maurizio Centonze, Fabio Nobile, Maurizio Del Greco, Alfio Quarteroni:
Integration of activation maps of epicardial veins in computational cardiac electrophysiology. - Felix Brandt, Martin Bullinger, Patrick Lederer:
On the Indecisiveness of Kelly-Strategyproof Social Choice Functions. - James M. Murphy, Sam L. Polk:
A Multiscale Environment for Learning by Diffusion. - Farnoosh Heidary, Mehran Yazdi, Maryam Dehghani, Peyman Setoodeh:
Urban Change Detection by Fully Convolutional Siamese Concatenate Network with Attention. - Yifan Wang, Zhanxuan Mei, Chia-Yang Tsai, Ioannis Katsavounidis, C.-C. Jay Kuo:
A Machine Learning Approach to Optimal Inverse Discrete Cosine Transform (IDCT) Design. - Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice:
Exact Recovery of Clusters in Finite Metric Spaces Using Oracle Queries. - Ankur Gupta, Yash Varun, Prarthana Das, Nithya Muttineni, Parth Srivastava, Hamim Zafar, Tanmoy Chakraborty, Swaprava Nath:
TruthBot: An Automated Conversational Tool for Intent Learning, Curated Information Presenting, and Fake News Alerting. - Xiaodong Jia, Bert Lindenhovius, Michael W. Mislove, Vladimir Zamdzhiev:
Commutative Monads for Probabilistic Programming Languages. - Edgard Chammas, Chafic Mokbel:
Fine-tuning Handwriting Recognition systems with Temporal Dropout. - John Bostanci, John Watrous:
Quantum game theory and the complexity of approximating quantum Nash equilibria. - Ghassan Samara:
Lane prediction optimization in VANET. - Fatemeh Yaghoobi, Adrien Corenflos, Sakira Hassan, Simo Särkkä:
Parallel Iterated Extended and Sigma-point Kalman Smoothers. - Sirvan Rahmati, Tianshi Lu:
Superconvergence of discontinuous Galerkin method for scalar and vector linear advection equations. - Sagi Marcovich, Eitan Yaakobi:
The Zero Cubes Free and Cubes Unique Multidimensional Constraints. - Saksham Consul, Lovis Heindrich, Jugoslav Stojcheski, Falk Lieder:
Improving Human Decision-Making by Discovering Efficient Strategies for Hierarchical Planning. - Ziyi Huang, Haofeng Zhang, Andrew Laine, Elsa D. Angelini, Christine P. Hendon, Yu Gan:
Co-Seg: An Image Segmentation Framework Against Label Corruption. - Victor Costa, Nuno Lourenço, João Correia, Penousal Machado:
Demonstrating the Evolution of GANs through t-SNE. - Geoffrey X. Yu, Yubo Gao, Pavel Golikov, Gennady Pekhimenko:
Computational Performance Predictions for Deep Neural Network Training: A Runtime-Based Approach. - Alexandre K. Ligo, Alexander Kott, Igor Linkov:
How to Measure Cyber Resilience of an Autonomous Agent: Approaches and Challenges. - Lisa Anne Hendricks, John Mellor, Rosalia Schneider, Jean-Baptiste Alayrac, Aida Nematzadeh:
Decoupling the Role of Data, Attention, and Losses in Multimodal Transformers. - Xi Yu, Shujian Yu, José C. Príncipe:
Deep Deterministic Information Bottleneck with Matrix-based Entropy Functional. - Siqiao Ruan, Ian Colbert, Kenneth Kreutz-Delgado, Srinjoy Das:
Generative and Discriminative Deep Belief Network Classifiers: Comparisons Under an Approximate Computing Framework. - Robert Beinert, Marzieh Hasannasab:
Phase Retrieval via Polarization in Dynamical Sampling. - Di He, Lei Xie:
CODE-AE: A Coherent De-confounding Autoencoder for Predicting Patient-Specific Drug Response From Cell Line Transcriptomics. - Leonid Pugachev, Mikhail Burtsev:
Short Text Clustering with Transformers. - Erik C. Rye, Robert Beverly, K. C. Claffy:
Follow the Scent: Defeating IPv6 Prefix Rotation Privacy. - Meng Liu, Keqiang Yan, Bora Oztekin, Shuiwang Ji:
GraphEBM: Molecular Graph Generation with Energy-Based Models. - Victoire Djimna Noyum, Younous Perieukeu Mofenjou, Cyrille Feudjio, Alkan Göktug, Ernest Fokoué:
Boosting the Predictive Accurary of Singer Identification Using Discrete Wavelet Transform For Feature Extraction. - Siddhartha Srivastava, Veera Sundararaghavan:
Bandgap optimization in combinatorial graphs with tailored ground states: Application in Quantum annealing. - Xun Liu, Hossein Rastgoftar:
Conservation-Based Modeling and Boundary Control of Congestion with an Application to Traffic Management in Center City Philadelphia. - Torsten Hoefler, Dan Alistarh, Tal Ben-Nun, Nikoli Dryden, Alexandra Peste:
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks. - Akash Kumar, C. Seshadhri, Andrew Stolman:
Random walks and forbidden minors III: poly(d/ε)-time partition oracles for minor-free graph classes. - Weiran Cai, Belgin San-Akca, Jordan Snyder, Grayson Gordon, Zeev Maoz, Raissa M. D'Souza:
Quantifying the Global Support Network for Non-State Armed Groups (NAGs). - Mohamed R. Ibrahim, James Haworth, Nicola Christie, Tao Cheng:
CyclingNet: Detecting cycling near misses from video streams in complex urban scenes with deep learning. - Hassan Moussa:
Using Recursive KMeans and Dijkstra Algorithm to Solve CVRP. - Aref Hakimzadeh, Yanbo Xue, Peyman Setoodeh:
Interpretable Reinforcement Learning Inspired by Piaget's Theory of Cognitive Development. - Sayak Mukherjee, Veronica Adetola:
A Secure Learning Control Strategy via Dynamic Camouflaging for Unknown Dynamical Systems under Attacks. - Ruolin Wang, Zixuan Chen, Mingrui Ray Zhang, Zhaoheng Li, Zhixiu Liu, Zihan Dang, Chun Yu, Xiang 'Anthony' Chen:
Revamp: Enhancing Accessible Information Seeking Experience of Online Shopping for Blind or Low Vision Users. - Karthik Mahadevan, Maurício Sousa, Anthony Tang, Tovi Grossman:
"Grip-that-there": An Investigation of Explicit and Implicit Task Allocation Techniques for Human-Robot Collaboration. - Lewis Hammond, Alessandro Abate, Julian Gutierrez, Michael J. Wooldridge:
Multi-Agent Reinforcement Learning with Temporal Logic Specifications. - Lijun Lyu, Maria Koutraki, Martin Krickl, Besnik Fetahu:
Neural OCR Post-Hoc Correction of Historical Corpora. - Xiao Lu, Mohammad Salehi, Martin Haenggi, Ekram Hossain, Hai Jiang:
Stochastic Geometry Analysis of Spatial-Temporal Performance in Wireless Networks: A Tutorial. - Demetrios Lambropoulos, Mohammad Yousefvand, Narayan B. Mandayam:
Tale of Seven Alerts: Enhancing Wireless Emergency Alerts (WEAs) to Reduce Cellular Network Usage During Disasters. - Maia L. Jacobs, Jeffrey He, Melanie F. Pradier, Barbara D. Lam, Andrew C. Ahn, Thomas H. McCoy, Roy H. Perlis, Finale Doshi-Velez, Krzysztof Z. Gajos:
Designing AI for Trust and Collaboration in Time-Constrained Medical Decisions: A Sociotechnical Lens. - Weijie Chen, Yilu Guo, Shicai Yang, Zhaoyang Li, Zhenxin Ma, Binbin Chen, Long Zhao, Di Xie, Shiliang Pu, Yueting Zhuang:
Box Re-Ranking: Unsupervised False Positive Suppression for Domain Adaptive Pedestrian Detection. - Pan Tan, Cuiling Fan, Cunsheng Ding, Zhengchun Zhou:
The minimum linear locality of linear codes. - Zhizhong Huang, Junping Zhang, Hongming Shan:
RoutingGAN: Routing Age Progression and Regression with Disentangled Learning. - Nathan M. White, Timothy Henry-Rodriguez:
The Harrington Yowlumne Narrative Corpus. - Zimo Zhu, Gang Chen, Xiaoping Xie:
Semi-discrete and fully discrete HDG methods for Burgers' equation. - Uddalok Sarkar, Sayan Nag, Medha Basu, Archi Banerjee, Shankha Sanyal, Ranjan Sengupta, Dipak Ghosh:
Neural Network architectures to classify emotions in Indian Classical Music. - Dan Wan, Hao Zhan:
The Controllability of Planning, Responsibility, and Security in Automatic Driving Technology. - Yi Shi, Congyi Wang, Yu Chen, Bin Wang:
Polyphone Disambiguition in Mandarin Chinese with Semi-Supervised Learning. - Gabriel Lima, Nina Grgic-Hlaca, Meeyoung Cha:
Human Perceptions on Moral Responsibility of AI: A Case Study in AI-Assisted Bail Decision-Making. - Lei Li, Yongfeng Zhang, Li Chen:
Learning to Explain Recommendations. - Musthaq Ahamed, P. D. S. H. Gunawardane, Nimali T. Medagedara:
Spatiotemporal Ground Reaction Force Analysis using Convolutional Neural Networks to Analyze Parkinsonian Gait. - Scott H. Hawley, Andrew C. Morrison:
ConvNets for Counting: Object Detection of Transient Phenomena in Steelpan Drums. - Meimei Shang, Fei Gao, Xiang Li, Jingjie Zhu, Lingna Dai:
Bridging Unpaired Facial Photos And Sketches By Line-drawings. - Geonho Han, Sucheol Kim, Junil Choi:
Multi-Vehicle Velocity Estimation Using IEEE 802.11ad Waveform. - Sameer Sundrani, James Lu:
Computing the Hazard Ratios Associated with Explanatory Variables Using Machine Learning Models of Survival Data. - Hoang-Dung Bui, Hung Manh La:
Control and Navigation Framework for a Hybrid Steel Bridge Inspection Robot. - Zhen Wang, Guopeng Zhang, Qiu Wang, Kezhi Wang, Kun Yang:
Completion Time Minimization in Wireless-Powered UAV-Assisted Data Collection System (Full Version). - Elie F. Kfoury, Jorge Crichigno, Elias Bou-Harb:
An Exhaustive Survey on P4 Programmable Data Plane Switches: Taxonomy, Applications, Challenges, and Future Trends. - Jiangpeng He, Runyu Mao, Zeman Shao, Janine L. Wright, Deborah A. Kerr, Carol J. Boushey, Fengqing Zhu:
An End-to-End Food Image Analysis System. - Xianzhi Zhang, Yipeng Zhou, Di Wu, Miao Hu, James Xi Zheng, Min Chen, Song Guo:
Optimizing Video Caching at the Edge: A Hybrid Multi-Point Process Approach. - Raj Chaganti, Deepti Gupta, Naga Vemprala:
Intelligent Network Layer for Cyber-Physical Systems Security. - Shu Zhao, Dayan Wu, Yucan Zhou, Bo Li, Weiping Wang:
Rescuing Deep Hashing from Dead Bits Problem. - Eadom Dessalene, Chinmaya Devaraj, Michael Maynord, Cornelia Fermüller, Yiannis Aloimonos:
Forecasting Action through Contact Representations from First Person Video. - Helong Zhou, Liangchen Song, Jiajie Chen, Ye Zhou, Guoli Wang, Junsong Yuan, Qian Zhang:
Rethinking Soft Labels for Knowledge Distillation: A Bias-Variance Tradeoff Perspective. - Zhicheng Liang, Deborah L. McGuinness:
Commonsense Knowledge Mining from Term Definitions. - Lin Zhao, Changsheng Chen, Jiwu Huang:
Deep Learning-based Forgery Attack on Document Images. - Shun Zhang, Benfei Duan, Zhili Chen, Hong Zhong:
Regionalized location obfuscation mechanism with personalized privacy levels. - Syed Zawad, Ahsan Ali, Pin-Yu Chen, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Yuan Tian, Feng Yan:
Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning. - Pedro H. J. Nardelli, Majid Hussein, Arun Narayanan, Yongheng Yang:
Virtual Microgrid Management via Software-defined Energy Network for Electricity Sharing. - Yaguan Qian, Qiqi Shao, Tengteng Yao, Bin Wang, Shaoning Zeng, Zhaoquan Gu, Wassim Swaileh:
Towards Speeding up Adversarial Training in Latent Spaces. - Wanchun Liu, Xin Zang, Branka Vucetic, Yonghui Li:
Over-the-Air Computation with Spatial-and-Temporal Correlated Signals. - Ning Zhang, Weina Wang, Lele Wang:
Attributed Graph Alignment. - Fengzhen Tang, Haifeng Feng, Peter Tiño, Bailu Si, Daxiong Ji:
Probabilistic Learning Vector Quantization on Manifold of Symmetric Positive Definite Matrices. - Lei Yu, Venkat Anantharam, Jun Chen:
Graphs of Joint Types, Noninteractive Simulation, and Stronger Hypercontractivity. - Zhenqi Fu, Xueyang Fu, Yue Huang, Xinghao Ding:
Twice Mixing: A Rank Learning based Quality Assessment Approach for Underwater Image Enhancement. - Jayam Patel, Tyagaraja Ramaswamy, Zhi Li, Carlo Pinciroli:
Direct and Indirect Communication in Multi-Human Multi-Robot Interaction. - Xiaodong Mei, Yuxiang Sun, Yuying Chen, Congcong Liu, Ming Liu:
Autonomous Navigation through intersections with Graph ConvolutionalNetworks and Conditional Imitation Learning for Self-driving Cars. - Zhenqi Fu, Xiaopeng Lin, Wu Wang, Yue Huang, Xinghao Ding:
Underwater Image Enhancement via Learning Water Type Desensitized Representations. - Hang Gao, Mengting Hu, Renhong Cheng, Tiegang Gao:
Hierarchical Ranking for Answer Selection. - Shida Lei, Nan Lu, Gang Niu, Issei Sato, Masashi Sugiyama:
Binary Classification from Multiple Unlabeled Datasets via Surrogate Set Classification. - Sidun Fang, Chenxu Wang, Yashen Lin, Changhong Zhao:
Optimizing Power-Water-Heat Flows via Decomposed Iterative Convex Approximation. - Rushuang Xu, MyeongAh Cho, Sangyoun Lee:
A NIR-to-VIS face recognition via part adaptive and relation attention module. - Yuxuan Liu, Yixuan Yuan, Ming Liu:
Ground-aware Monocular 3D Object Detection for Autonomous Driving. - Masato Tanaka, Tomomi Matsui:
New Formulation for Coloring Circle Graphs and its Application to Capacitated Stowage Stack Minimization. - Selim Furkan Tekin, Oguzhan Karaahmetoglu, Fatih Ilhan, Ismail Balaban, Suleyman Serdar Kozat:
Spatio-temporal Weather Forecasting and Attention Mechanism on Convolutional LSTMs. - Milad Sefidgaran, Aslan Tchamkerten:
Zero-Error Sum Modulo Two with a Common Observation. - Kevin Maik Jablonka, Fergus Mcilwaine, Susana Garcia, Berend Smit, Brian Yoo:
A reproducibility study of "Augmenting Genetic Algorithms with Deep Neural Networks for Exploring the Chemical Space". - Casper Schröder, Adriaan van der Feltz, Annibale Panichella, Maurício Finavaro Aniche:
Search-Based Software Re-Modularization: A Case Study at Adyen. - Vineet Gokhale, Gerardo Moyers Barrera, R. Venkatesha Prasad:
FEEL: Fast, Energy-Efficient Localization for Autonomous Indoor Vehicles. - Christophe Prud'Homme, Lorenzo Sala, Marcela Szopos:
Uncertainty propagation and sensitivity analysis: results from the Ocular Mathematical Virtual Simulator. - Nejat Arinik, Vincent Labatut, Rosa Figueiredo:
Characterizing and comparing external measures for the assessment of cluster analysis and community detection. - Amos Korman, Robin Vacus:
Stochastic Alignment Processes. - Jian Zhang, Ying Tai, Taiping Yao, Jia Meng, Shouhong Ding, Chengjie Wang, Jilin Li, Feiyue Huang, Rongrong Ji:
Aurora Guard: Reliable Face Anti-Spoofing via Mobile Lighting System. - Rongjun Qin, Songyi Gao, Xingyuan Zhang, Zhen Xu, Shengkai Huang, Zewen Li, Weinan Zhang, Yang Yu:
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning. - Robert Nasdala, Daniel Potts:
A note on transformed Fourier systems for the approximation of non-periodic signals. - Daniel Neimark, Omri Bar, Maya Zohar, Dotan Asselmann:
Video Transformer Network. - Amedeo Roberto Esposito, Diyuan Wu, Michael Gastpar:
On conditional Sibson's α-Mutual Information. - Quentin Paletta, Guillaume Arbod, Joan Lasenby:
Benchmarking of Deep Learning Irradiance Forecasting Models from Sky Images - an in-depth Analysis. - Tiago D. Perez, Malik Imran, Pablo Vaz, Samuel Pagliarini:
Side-Channel Trojan Insertion - a Practical Foundry-Side Attack via ECO. - Olivier Wintenberger:
Stochastic Online Convex Optimization; Application to probabilistic time series forecasting. - Quentin Renau, Johann Dréo, Carola Doerr, Benjamin Doerr:
Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB Functions. - Alain Pétrowski:
Classifications based on response times for detecting early-stage Alzheimer's disease. - Gabriella Puppo, Matteo Semplice, Giuseppe Visconti:
Quinpi: integrating conservation laws with CWENO implicit methods. - Jason Z. Lin, Jelena Bradic:
Learning to Combat Noisy Labels via Classification Margins. - Elija Perrier:
Quantum Fair Machine Learning. - Felix Lucka, Mailyn Pérez-Liva, Bradley E. Treeby, Ben T. Cox:
High Resolution 3D Ultrasonic Breast Imaging by Time-Domain Full Waveform Inversion. - Takayuki Nozaki:
Distance Enumerators for Number-Theoretic Codes. - RuiTianYi Lu:
Joint Beamforming and Phase Optimization in a Multi-user Communication System Composed of Dual Reconfigurable Intelligent Surfaces. - Yukai Shi, Sen Zhang, Chenxing Zhou, Xiaodan Liang, Xiaojun Yang, Liang Lin:
GTAE: Graph-Transformer based Auto-Encoders for Linguistic-Constrained Text Style Transfer. - N. Prabhakaran, Pudhupalayam Marimuthu Balasubramaniam, P. RanjithKumar, S. Sheik Mohammed:
A Novel Collision Detection and Avoidance system for Midvehicle using Offset-based Curvilinear Motion. - Rahul Kumar, Sandeep Mathias, Sriparna Saha, Pushpak Bhattacharyya:
Many Hands Make Light Work: Using Essay Traits to Automatically Score Essays. - Andreas Kofler, Markus Haltmeier, Tobias Schaeffter, Christoph Kolbitsch:
An End-To-End-Trainable Iterative Network Architecture for Accelerated Radial Multi-Coil 2D Cine MR Image Reconstruction. - Akrati Saxena, George Fletcher, Mykola Pechenizkiy:
NodeSim: Node Similarity based Network Embedding for Diverse Link Prediction. - Ana Cristina Franco da Silva, Stefan Wagner, Eddie Lazebnik, Eyal Traitel:
Using a Cyber Digital Twin for Continuous Automotive Security Requirements Verification. - Pu Sun, Yuezun Li, Honggang Qi, Siwei Lyu:
Landmark Breaker: Obstructing DeepFake By Disturbing Landmark Extraction. - Kun Yan, Zied Bouraoui, Ping Wang, Shoaib Jameel, Steven Schockaert:
Few-shot Image Classification with Multi-Facet Prototypes. - Roee Zamir, Shai Bagon, David Samocha, Yael Yagil, Ronen Basri, Miri Sklair-Levy, Meirav Galun:
Segmenting Microcalcifications in Mammograms and its Applications. - Inioluwa Deborah Raji, Genevieve Fried:
About Face: A Survey of Facial Recognition Evaluation. - Chi Jin, Qinghua Liu, Sobhan Miryoosefi:
Bellman Eluder Dimension: New Rich Classes of RL Problems, and Sample-Efficient Algorithms. - Mingxi Cheng, Shahin Nazarian, Paul Bogdan:
VRoC: Variational Autoencoder-aided Multi-task Rumor Classifier Based on Text. - Xiaowen Shan, Yangyang Shi, Xuhui Li:
A multiple-relaxation-time collision model by Hermite expansion. - Frank Hannig, Paolo Meloni, Matteo Spallanzani, Matthias Ziegler:
Proceedings of the DATE Friday Workshop on System-level Design Methods for Deep Learning on Heterogeneous Architectures (SLOHA 2021). - Lya Hulliyyatus Suadaa, Hidetaka Kamigaito, Manabu Okumura, Hiroya Takamura:
Metric-Type Identification for Multi-Level Header Numerical Tables in Scientific Papers. - Ali Mousavi, Mehrdad Jalali, Mahdi Yaghoubi:
Adaptive Neuro Fuzzy Networks based on Quantum Subtractive Clustering. - Haokun Li, Bican Xia, Huiying Zhang, Tao Zheng:
Choosing the Variable Ordering for Cylindrical Algebraic Decomposition via Exploiting Chordal Structure. - Nikunj Gupta, G. Srinivasaraghavan, Swarup Kumar Mohalik, Matthew E. Taylor:
HAMMER: Multi-Level Coordination of Reinforcement Learning Agents via Learned Messaging. - Kaibo Cao, Chunyang Chen, Sebastian Baltes, Christoph Treude, Xiang Chen:
Automated Query Reformulation for Efficient Search based on Query Logs From Stack Overflow. - Albert Weichselbraun, Jakob Steixner, Adrian M. P. Brasoveanu, Arno Scharl, Max C. Göbel, Lyndon J. B. Nixon:
Automatic Expansion of Domain-Specific Affective Models for Web Intelligence Applications. - Hobin Ryu, Sunghun Kang, Haeyong Kang, Chang D. Yoo:
Semantic Grouping Network for Video Captioning. - Koen Holtman:
Counterfactual Planning in AGI Systems. - (Withdrawn) Implicit Feedback-based Group Recommender System for Internet of Thing Applications.
- Darius Roman, Saurabh Saxena, Valentin Robu, Michael G. Pecht, David Flynn:
Machine learning pipeline for battery state of health estimation. - Shufan Jiang, Rafael Angarita, Stephane Cormier, Francis Rousseaux:
Fine-tuning BERT-based models for Plant Health Bulletin Classification. - Anirudh Paranjothi, Mohammed Atiquzzaman, Mohammad S. Khan:
F-RouND: Fog-based Rogue Nodes Detection in Vehicular Ad hoc Networks. - Alexander Sagel, Julian Wörmann, Hao Shen:
Dynamic Texture Recognition via Nuclear Distances on Kernelized Scattering Histogram Spaces. - Dibakar Das:
Agent Based Virus Model using NetLogo: Infection Propagation, Precaution, Recovery, Multi-site Mobility and (Un)Lockdown. - Takashi Oya, Shigeo Morishima:
LSTM-SAKT: LSTM-Encoded SAKT-like Transformer for Knowledge Tracing. - Carter Blum, Hao Liu, Hui Xiong:
CoordiQ : Coordinated Q-learning for Electric Vehicle Charging Recommendation. - Sanja Scepanovic, Sagar Joglekar, Stephen Law, Daniele Quercia:
Jane Jacobs in the Sky: Predicting Urban Vitality with Open Satellite Data. - Muhammad Umer Gurchani:
Crawling political communities in Twitter and extracting political affiliations. - Chenpeng Du, Kai Yu:
Mixture Density Network for Phone-Level Prosody Modelling in Speech Synthesis. - Annunziato Siviglia, Davide Vanzo, Eleuterio F. Toro:
A splitting scheme for the coupled Saint-Venant-Exner model. - Ilona M. Kulikovskikh, Tarzan Legovic:
Painless step size adaptation for SGD. - Nicolas Vercheval, Aleksandra Pizurica:
Hierarchical Variational Autoencoder for Visual Counterfactuals. - Chuyu Xiong:
Sampling and Complexity of Partition Function. - Guilhem Lacombe, Kseniia Masalygina, Anass Tahiri, Carole Adam, Cédric Lauradoux:
Can You Accept LaTeX Files from Strangers? Ten Years Later. - Shunsuke Kurima:
Time discretization of a nonlocal phase-field system with inertial term. - Cinjon Resnick, Or Litany, Cosmas Heiß, Hugo Larochelle, Joan Bruna, Kyunghyun Cho:
Self-Supervised Equivariant Scene Synthesis from Video. - Ilaria Castellani, Mariangiola Dezani-Ciancaglini, Paola Giannini:
Global types and event structure semantics for asynchronous multiparty sessions. - Clementa Alonso-González, Miguel Ángel Navarro-Pérez:
Cyclic Orbit Flag Codes. - Henk Grent, Aleksei Akimov, Maurício Finavaro Aniche:
Automatically Identifying Parameter Constraints in Complex Web APIs: A Case Study at Adyen. - Qin Wang, Rujia Li:
A Weak Consensus Algorithm and Its Application to High-Performance Blockchain. - Agrin Hilmkil, Sebastian Callh, Matteo Barbieri, Leon René Sütfeld, Edvin Listo Zec, Olof Mogren:
Scaling Federated Learning for Fine-tuning of Large Language Models. - Nathanaël Fijalkow, Guillaume Lagarde:
The Complexity of Learning Linear Temporal Formulas from Examples. - Toni Karvonen, Jon Cockayne, Filip Tronarp, Simo Särkkä:
A Probabilistic Taylor Expansion with Applications in Filtering and Differential Equations. - Namid Stillman, Igor Balaz, Michail-Antisthenis I. Tsompanas, Marina Kovacevic, Sepinoud Azimi, Sébastien Lafond, Andrew Adamatzky, Sabine Hauert:
Evolutionary computational platform for the automatic discovery of nanocarriers for cancer treatment. - Thorsten Wittkopp, Alexander Acker:
Decentralized Federated Learning Preserves Model and Data Privacy. - Gülsen Eryigit, Ali Sentas, Johanna Monti:
Gamified Crowdsourcing for Idiom Corpora Construction. - Eduardo Gallo:
Stochastic High Fidelity Simulation and Scenarios for Testing of Fixed Wing Autonomous GNSS-Denied Navigation Algorithms. - Sina Hajimiri, Aryo Lotfi, Mahdieh Soleymani Baghshah:
Semi-Supervised Disentanglement of Class-Related and Class-Independent Factors in VAE. - Nora Kassner, Philipp Dufter, Hinrich Schütze:
Multilingual LAMA: Investigating Knowledge in Multilingual Pretrained Language Models. - Mohit Sewak, Sanjay K. Sahay, Hemant Rathore:
DRLDO: A novel DRL based De-ObfuscationSystem for Defense against Metamorphic Malware. - Michael Weiss, Paolo Tonella:
Fail-Safe Execution of Deep Learning based Systems through Uncertainty Monitoring. - Augusto Camargo, Wesley Carvalho, Felipe Peressim:
Text-to-hashtag Generation using Seq2seq Learning. - Benno van den Berg, Martijn den Besten:
Quadratic type checking for objective type theory. - Sean-Kelly Palicki, Shereen Fouad, Mariam Adedoyin-Olowe, Zahraa S. Abdallah:
Transfer Learning Approach for Detecting Psychological Distress in Brexit Tweets. - Tommy Leung, L. Nathan Perkins:
Counting Protests in News Articles: A Dataset and Semi-Automated Data Collection Pipeline. - Alireza Bahramali, Milad Nasr, Amir Houmansadr, Dennis Goeckel, Don Towsley:
Robust Adversarial Attacks Against DNN-Based Wireless Communication Systems. - Alexander Schlögl, Tobias Kupek, Rainer Böhme:
Forensicability of Deep Neural Network Inference Pipelines. - Yida Xin, Henry Lieberman, Peter Chin:
Revisiting the Prepositional-Phrase Attachment Problem Using Explicit Commonsense Knowledge. - Kai Wan, Hua Sun, Mingyue Ji, Giuseppe Caire:
On Secure Distributed Linearly Separable Computation. - Abdel-Nasser Sharkawy:
Human-Robot Interaction: Applications. - Gergely Neu:
Information-Theoretic Generalization Bounds for Stochastic Gradient Descent. - Bernhard Klein, Christoph Gratl, Manfred Mücke, Holger Fröning:
Understanding Cache Boundness of ML Operators on ARM Processors. - Alberto Bernacchia:
Meta-learning with negative learning rates. - Weiyu Chen, Hisao Ishibuchi, Ke Shang:
Fast Greedy Subset Selection from Large Candidate Solution Sets in Evolutionary Multi-objective Optimization. - L. Beirão da Veiga, Franco Dassi, Gianmarco Manzini, Lorenzo Mascotto:
Virtual elements for Maxwell's equations. - Oana-Iuliana Popescu, Maha Shadaydeh, Joachim Denzler:
Counterfactual Generation with Knockoffs. - Yong Zhang, Mao Ye, Lin Guan:
QoS-aware Link Scheduling Strategy for Data Transmission in SDVN. - Conor F. Hayes, Mathieu Reymond, Diederik M. Roijers, Enda Howley, Patrick Mannion:
Risk Aware and Multi-Objective Decision Making with Distributional Monte Carlo Tree Search. - Jan Glaubitz, Anne Gelb:
Stabilizing Radial Basis Function Methods for Conservation Laws Using Weakly Enforced Boundary Conditions. - Saeed H. Alsamhi, Brian Lee, Mohsen Guizani, Neeraj Kumar, Yuansong Qiao, Xuan Liu:
Blockchain for Decentralized Multi-Drone to Combat COVID-19. - Suryanarayana Sankagiri, Shreyas Gandlur, Bruce E. Hajek:
The Longest-Chain Protocol Under Random Delays. - Yan Wang, Shangde Gao, Wenyu Gao:
Can Predominant Credible Information Suppress Misinformation in Crises? Empirical Studies of Tweets Related to Prevention Measures during COVID-19. - Paul Ryan, Harshvardhan J. Pandit, Rob Brennan:
A Common Semantic Model of the GDPR Register of Processing Activities. - Bola Abimbola:
Cloud Computing Concept and Roots. - Moritz Wiese, Holger Boche:
Mosaics of combinatorial designs for information-theoretic security. - Johan Wästlund:
Faulty picture-hanging improved. - Aitzol Elu, Gorka Azkune, Oier Lopez de Lacalle, Ignacio Arganda-Carreras, Aitor Soroa, Eneko Agirre:
Inferring spatial relations from textual descriptions of images. - Ahmed N. Al-Quzweeni, Ahmed Q. Lawey, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Optimized Energy Efficient Virtualization and Content Caching in 5G Networks. - William A. Dawson, Ruben Glatt, Edward Rusu, Braden C. Soper, Ryan A. Goldhahn:
Hybrid Information-driven Multi-agent Reinforcement Learning. - Craig Poulin, Michael B. Kane:
Infrastructure Resilience Curves: Performance Measures and Summary Metrics. - Yifeng Li, Hsu Kiang Ooi, Alain B. Tchagang:
Deep Evolutionary Learning for Molecular Design. - Stefanos Tsimenidis:
Evolutionary Algorithms for Fuzzy Cognitive Maps. - Valentin Pelloin, Nathalie Camelin, Antoine Laurent, Renato De Mori, Antoine Caubrière, Yannick Estève, Sylvain Meignier:
End2End Acoustic to Semantic Transduction. - Yanai Elazar, Nora Kassner, Shauli Ravfogel, Abhilasha Ravichander, Eduard H. Hovy, Hinrich Schütze, Yoav Goldberg:
Measuring and Improving Consistency in Pretrained Language Models. - Leonardo Solanilla, Erick S. Barreto, Viviana Morales:
A Brief Account of Klein's Icosahedral Extensions. - Carlos Pedroso, Yan Uehara de Moraes, Michele Nogueira, Aldri Santos:
Relational Consensus-Based Cooperative Task Allocation Management for IIoT-Health Networks. - Felix Gonda, Donglai Wei, Hanspeter Pfister:
Consistent Recurrent Neural Networks for 3D Neuron Segmentation. - Chenglong Wang, Yu Feng, Rastislav Bodík, Isil Dillig, Alvin Cheung, Amy J. Ko:
Falx: Synthesis-Powered Visualization Authoring. - Guillermo Carbajal, Patricia Vitoria, Mauricio Delbracio, Pablo Musé, José Lezama:
Single Image Non-uniform Blur Kernel Estimation via Adaptive Basis Decomposition. - Filippo Andrea Fanni, Fabio Pellacini, Riccardo Scateni, Andrea Giachetti:
PAVEL: Decorative Patterns with Packed Volumetric Elements. - Tilsa Aryeni, Quanling Deng, Victor Ginting:
On the Application of Stable Generalized Finite Element Method for Quasilinear Elliptic Two-Point BVP. - Svea Wisy:
Simple Trust Metric in a Low-Power Sensor Network. - Tadeusz Kobus, Maciej Kokocinski, Pawel T. Wojciechowski:
Jiffy: A Lock-free Skip List with Batch Updates and Snapshots. - Liyu Chen, Haipeng Luo, Chen-Yu Wei:
Impossible Tuning Made Possible: A New Expert Algorithm and Its Applications. - John Liagouris, Vasiliki Kalavri, Muhammad Faisal, Mayank Varia:
Secrecy: Secure collaborative analytics on secret-shared data. - Sai Muralidhar Jayanthi, Akshat Gupta:
SJ_AJ@DravidianLangTech-EACL2021: Task-Adaptive Pre-Training of Multilingual BERT models for Offensive Language Identification. - Makayla Moster, Denae Ford, Paige Rodeghero:
"Is My Mic On?" Preparing SE Students for Collaborative Remote Work and Hybrid Team Communication. - Ming Lin, Pichao Wang, Zhenhong Sun, Hesen Chen, Xiuyu Sun, Qi Qian, Hao Li, Rong Jin:
Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition. - Nelson F. Liu, Tony Lee, Robin Jia, Percy Liang:
Can Small and Synthetic Benchmarks Drive Modeling Innovation? A Retrospective Study of Question Answering Modeling Approaches. - Achal Dave, Piotr Dollár, Deva Ramanan, Alexander Kirillov, Ross B. Girshick:
Evaluating Large-Vocabulary Object Detectors: The Devil is in the Details. - Pramod C. Mane, Nagarajan Krishnamurthy, Kapil Ahuja:
Resource Availability in the Social Cloud: An Economics Perspective. - Scott Freitas, Rahul Duggal, Duen Horng Chau:
MalNet: A Large-Scale Cybersecurity Image Database of Malicious Software. - Ghassan Samara:
Wireless Sensor Network MAC Energy - efficiency Protocols: A Survey. - Iuliana Marin, Ioana-Andreea Dinescu, Teodora-Coralia Deleanu, Lujain Alshikh Sulaiman, Sarmad Monadel Sabree Al-Gayar, Nicolae Goga:
Brain Performance Analysis based on an Electroencephalogram Headset. - Michael Chary, Ed W. Boyer, Michele M. Burns:
Diagnosis of Acute Poisoning Using Explainable Artificial Intelligence. - Idan Amir, Tomer Koren, Roi Livni:
SGD Generalizes Better Than GD (And Regularization Doesn't Help). - Hmrishav Bandyopadhyay, Tanmoy Dasgupta, Nibaran Das, Mita Nasipuri:
RectiNet-v2: A stacked network architecture for document image dewarping. - Sukanya Pandey, Vibha Sahlot:
Role Coloring Bipartite Graphs. - Mohammad Moltafet, Markus Leinonen, Marian Codreanu:
Moment Generating Function of the AoI in Multi-Source Systems with Computation-Intensive Status Updates. - Shenhao Wang, Baichuan Mo, Stephane Hess, Jinhua Zhao:
Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark. - Shlomo Dubnov:
Deep Music Information Dynamics. - K. M. Arefeen Sultan, Mohammad Imrul Jubair, Md. Nahidul Islam, Sayed Hossain Khan:
toon2real: Translating Cartoon Images to Realistic Images. - Kai Zhang, Siddharth Karanth, Bela Patel, Robert Murphy, Xiaoqian Jiang:
Real-time Prediction for Mechanical Ventilation in COVID-19 Patients using A Multi-task Gaussian Process Multi-objective Self-attention Network. - Marzia Antenore, Jose M. Camacho-Rodriguez, Emanuele Panizzi:
A comparative study of Bot Detection techniques methods with an application related to Covid-19 discourse on Twitter. - Lisa Hellerstein, Devorah Kletenik, Srinivasan Parthasarathy:
A Tight Bound for Stochastic Submodular Cover. - Despina Christou, Grigorios Tsoumakas:
Improving Distantly-Supervised Relation Extraction through BERT-based Label & Instance Embeddings. - Mohammad Hesam Soleimani-Babakamali, Reza Sepasdar, Kourosh Nasrollahzadeh, Rodrigo Sarlo:
System-reliability based multi-ensemble of GAN and one-class joint Gaussian distributions for unsupervised real-time structural health monitoring. - Elyes Balti, Neji Mensi, Danda B. Rawat:
Temporal CSI Correlation in Mixed RF/FSO Cooperative Relaying Systems Under Joint Effects of HPA Nonlinearities and IQ Imbalance. - Keyang Zhou, Bharat Lal Bhatnagar, Bernt Schiele, Gerard Pons-Moll:
Adjoint Rigid Transform Network: Self-supervised Alignment of 3D Shapes. - Hakima Bessaih, Annie Millet:
Strong rates of convergence of space-time discretization schemes for the 2D Navier-Stokes equations with additive noise. - Kaiping Chen, Sang Jung Kim, Sebastian Raschka, Qiantong Gao:
Visual Framing of Science Conspiracy Videos: Integrating Machine Learning with Communication Theories to Study the Use of Color and Brightness. - Amirreza Mousavi, Kiarash Aryankia, Rastko R. Selmic:
Cyber-Attack Detection in Discrete Nonlinear Multi-Agent Systems Using Neural Networks. - Karl Crary:
Verifying the Hashgraph Consensus Algorithm. - Xin Chen, Guannan Qu, Yujie Tang, Steven H. Low, Na Li:
Reinforcement Learning for Decision-Making and Control in Power Systems: Tutorial, Review, and Vision. - Hasan K. Naji, Iuliana Marin, Nicolae Goga, Cristian Taslitchi:
Novel Design and Implementation of a Vehicle Controlling and Tracking System. - Tony Zhao, Irving Fang, Jeffrey Kim, Gerald Friedland:
Multi-modal Ensemble Models for Predicting Video Memorability. - Mine Gokce Dogan, Yahya H. Ezzeldin, Christina Fragouli:
On optimal relay placement in directional networks. - Junchuan Fan, Kathleen Stewart:
Understanding collective human movement dynamics during large-scale events using big geosocial data analytics. - Peiye Zhuang, Oluwasanmi Koyejo, Alexander G. Schwing:
Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space Navigation. - Youzhi Luo, Keqiang Yan, Shuiwang Ji:
GraphDF: A Discrete Flow Model for Molecular Graph Generation. - Xing Su, Yan Kong, Weihua Li:
The 4th International Workshop on Smart Simulation and Modelling for Complex Systems. - Mariia Gladkova, Rui Wang, Niclas Zeller, Daniel Cremers:
Tight Integration of Feature-Based Relocalization in Monocular Direct Visual Odometry. - Kushal Lakhotia, Evgeny Kharitonov, Wei-Ning Hsu, Yossi Adi, Adam Polyak, Benjamin Bolte, Tu Anh Nguyen, Jade Copet, Alexei Baevski, Adelrahman Mohamed, Emmanuel Dupoux:
Generative Spoken Language Modeling from Raw Audio. - Opeyemi O. Ajibola, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Disaggregation for Energy Efficient Fog in Future 6G Networks. - Hao Fei Cheng, Logan Stapleton, Ruiqi Wang, Paige Bullock, Alexandra Chouldechova, Zhiwei Steven Wu, Haiyi Zhu:
Soliciting Stakeholders' Fairness Notions in Child Maltreatment Predictive Systems. - Rami Ezzine, Moritz Wiese, Christian Deppe, Holger Boche:
Common Randomness Generation over Slow Fading Channels. - Wafa Labidi, Holger Boche, Christian Deppe, Moritz Wiese:
Identification over the Gaussian Channel in the Presence of Feedback. - Gabriel Arpino, Nicolò Grometto, Afonso S. Bandeira:
Group Testing in the High Dilution Regime. - Shahla U. Umar, Tarik A. Rashid:
Critical Analysis: Bat Algorithm based Investigation and Application on Several Domains. - A. Feder Cooper, Ellen Abrams:
Emergent Unfairness: Normative Assumptions and Contradictions in Algorithmic Fairness-Accuracy Trade-Off Research. - Akhilan Boopathy, Tsui-Wei Weng, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Luca Daniel:
Fast Training of Provably Robust Neural Networks by SingleProp. - Stefano Arrigoni, Francesco Braghin, Federico Cheli:
MPC path-planner for autonomous driving solved by genetic algorithm technique. - Bashar Tahir, Stefan Schwarz, Markus Rupp:
Outage Analysis of Uplink IRS-Assisted NOMA under Elements Splitting. - Hamed Montazer Zohour, Bruno Belzile, David St-Onge:
Kinova Gen3-Lite manipulator inverse kinematics: optimal polynomial solution. - Kaushik Roy, Usha Lokala, Vedant Khandelwal, Amit P. Sheth:
"Is depression related to cannabis?": A knowledge-infused model for Entity and Relation Extraction with Limited Supervision. - Melika Behjati, James Henderson:
Inducing Meaningful Units from Character Sequences with Slot Attention. - Dian Yu, Kai Sun, Dong Yu, Claire Cardie:
Self-Teaching Machines to Read and Comprehend with Large-Scale Multi-Subject Question Answering Data. - Haseeb Ur Rehman, Faouzi Bellili, Amine Mezghani, Ekram Hossain:
Joint Active and Passive Beamforming for IRS-Assisted Multi-User MIMO Systems: A VAMP Approach. - Vahideh H. Manshadi, Rad Niazadeh, Scott Rodilitz:
Fair Dynamic Rationing. - Dalia Popescu, Philippe Jacquet, Bernard Mans, Bartlomiej Blaszczyszyn:
Characterizing the Energy Trade-Offs of End-to-End Vehicular Communications using an Hyperfractal Urban Modelling. - Adam W. Strzebonski:
Computing Limits of Quotients of Multivariate Real Analytic Functions. - Yuan Gong, Yu-An Chung, James R. Glass:
PSLA: Improving Audio Event Classification with Pretraining, Sampling, Labeling, and Aggregation. - Xie Lu, Xiaoguang Wang, Xiaoyang Gu:
New Recruiter and Jobs: The Largest Enterprise Data Migration at LinkedIn. - Oliver Kosut, Michelle Effros, Michael Langberg:
Every Bit Counts: Second-Order Analysis of Cooperation in the Multiple-Access Channel. - Runhua Xu, Chao Li, James Joshi:
T3AB: Transparent and Trustworthy Third-party Authority using Blockchain. - Bogdan S. Chlebus, Dariusz R. Kowalski, Jan Olkowski, Jedrzej Olkowski:
Consensus in Networks Prone to Link Failures. - (Withdrawn) Customizing Graph500 for Tianhe Pre-exacale system.
- Stanislava Soro:
TinyML for Ubiquitous Edge AI. - Yuan Liang, Weinan Song, Jiawei Yang, Liang Qiu, Kun Wang, Lei He:
Atlas-aware ConvNetfor Accurate yet Robust Anatomical Segmentation. - Shahab Asoodeh, Maryam Aliakbarpour, Flávio P. Calmon:
Local Differential Privacy Is Equivalent to Contraction of Eγ-Divergence. - Xiong Liu, Craig E. Thomas, Christian C. Felder:
The impact of external innovation on new drug approvals: A retrospective analysis. - Yao Dou, Maxwell Forbes, Ari Holtzman, Yejin Choi:
MultiTalk: A Highly-Branching Dialog Testbed for Diverse Conversations. - Andrew Slavin Ross, Nina Chen, Elisa Zhao Hang, Elena L. Glassman, Finale Doshi-Velez:
Evaluating the Interpretability of Generative Models by Interactive Reconstruction. - Alan Chan, Chinasa T. Okolo, Zachary Terner, Angelina Wang:
The Limits of Global Inclusion in AI Development. - Huanyi Chen, Paul A. S. Ward:
Predicting student performance using data from an auto-grading system. - Bo Zhang, Di Xiao, Lan Wang, Sen Bai, Lei Yang:
Efficient Compressed Sensing Based Image Coding by Using Gray Transformation. - Matthew Butler, Leona Holloway, Samuel Reinders, Cagatay Goncu, Kim Marriott:
Technology Developments in Touch-Based Accessible Graphics: A Systematic Review of Research 2010-2020. - Xingjun Li, Yuanxin Wang, Hong Wang, Yang Wang, Jian Zhao:
NBSearch: Semantic Search and Visual Exploration of Computational Notebooks. - Zhenmei Shi, Fuhao Shi, Wei-Sheng Lai, Chia-Kai Liang, Yingyu Liang:
Deep Online Fused Video Stabilization. - Qi Zheng, Jianfeng Dong, Xiaoye Qu, Xun Yang, Shouling Ji, Xun Wang:
Progressive Localization Networks for Language-based Moment Localization. - Peng Yao, Shuwei Shen, Mengjuan Xu, Peng Liu, Fan Zhang, Jinyu Xing, Pengfei Shao, Benjamin Kaffenberger, Ronald X. Xu:
Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification. - Jenhao Hsiao, Jiawei Chen, Chiu Man Ho:
GCF-Net: Gated Clip Fusion Network for Video Action Recognition. - Fateme Nikseresht, Runze Yan, Rachel Lew, Yingzheng Liu, Rose M. Sebastian, Afsaneh Doryab:
Detection of Racial Bias from Physiological Responses. - Danny Hernandez, Jared Kaplan, Tom Henighan, Sam McCandlish:
Scaling Laws for Transfer. - Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi:
Gaze-based dual resolution deep imitation learning for high-precision dexterous robot manipulation. - Pedro J. Rivera Torres, Carlos Gershenson García, Samir Kanaan-Izquierdo:
Reinforcement Learning with Probabilistic Boolean Network Models of Smart Grid Devices. - Yijun Cao, Chuan Lin, Yong-Jie Li:
Learning Crisp Boundaries Using Deep Refinement Network and Adaptive Weighting Loss. - Miki Tanaka, Hitoshi Kiya:
Fake-image detection with Robust Hashing. - Jusang Lee, Minyoung Chung, Minkyung Lee, Yeong-Gil Shin:
Tooth Instance Segmentation from Cone-Beam CT Images through Point-based Detection and Gaussian Disentanglement. - Raula Gaikovina Kula, Hideaki Hata, Kenichi Matsumoto:
FLOSS != GitHub: A Case Study of Linux/BSD Perceptions from Microsoft's Acquisition of GitHub. - Nizar Khalfet, Ioannis Krikidis:
Information Energy Capacity Region for SWIPT Systems over Raylegh-Fading Channels. - Aoyu Wu, Yun Wang, Xinhuan Shu, Dominik Moritz, Weiwei Cui, Haidong Zhang, Dongmei Zhang, Huamin Qu:
Survey on Artificial Intelligence Approaches for Visualization Data. - Longyuan Li, Junchi Yan, Haiyang Wang, Yaohui Jin:
Anomaly Detection of Time Series with Smoothness-Inducing Sequential Variational Auto-Encoder. - Minghui Xu, Chun-Chi Liu, Yifei Zou, Feng Zhao, Jiguo Yu, Xiuzhen Cheng:
wChain: A Fast Fault-Tolerant Blockchain Protocol for Multihop Wireless Networks. - Kenton Lee, Kelvin Guu, Luheng He, Tim Dozat, Hyung Won Chung:
Neural Data Augmentation via Example Extrapolation. - Gagandeep Singh, Deepak Mishra:
pseudo-Bayesian Neural Networks for detecting Out of Distribution Inputs. - Francesco Paissan, Massimo Gottardi, Elisabetta Farella:
Enabling energy efficient machine learning on a Ultra-Low-Power vision sensor for IoT. - Quentin Ducasse, Pascal Cotret, Loïc Lagadec, Robert Stewart:
Benchmarking Quantized Neural Networks on FPGAs with FINN. - Walther Carballo-Hernández, Maxime Pelcat, François Berry:
Why is FPGA-GPU Heterogeneity the Best Option for Embedded Deep Neural Networks? - Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen, Mario Günzel, Katharina Morik, Rodion Novkin, Lukas Pfahler, Mikail Yayla:
Bit Error Tolerance Metrics for Binarized Neural Networks. - Etienne Dupuis, David Novo, Ian O'Connor, Alberto Bosio:
Fast Exploration of Weight Sharing Opportunities for CNN Compression. - Dainius Jenkus, Fei Xia, Rishad A. Shafik, Alex Yakovlev:
QoS-Aware Power Minimization of Distributed Many-Core Servers using Transfer Q-Learning. - Cristina Chesta, Luca Rinelli:
Modular approach to data preprocessing in ALOHA and application to a smart industry use case. - Chen Cai, Dingkang Wang, Yusu Wang:
Graph Coarsening with Neural Networks. - Olivia Weng, Alireza Khodamoradi, Ryan Kastner:
Hardware-efficient Residual Networks for FPGAs. - Zhongqiang Ren, Sivakumar Rathinam, Howie Choset:
Subdimensional Expansion for Multi-objective Multi-agent Path Finding. - Andrew Lensen:
Mining Feature Relationships in Data. - Tao Bai, Jinqi Luo, Jun Zhao, Bihan Wen, Qian Wang:
Recent Advances in Adversarial Training for Adversarial Robustness. - Chajin Shin, Taeoh Kim, Sangjin Lee, Sangyoun Lee:
Test-Time Adaptation for Out-of-distributed Image Inpainting. - Sonja Kraiczy, Ágnes Cseh, David F. Manlove:
On absolutely and simply popular rankings. - Ismail Arai, Ahmed Elnoshokaty, Samy El-Tawab:
Leveraging IoT and Weather Conditions to Estimate the Riders Waiting for the Bus Transit on Campus. - Jessica Van Brummelen, Viktoriya Tabunshchyk, Tommy Heng:
"Alexa, Can I Program You?": Student Perceptions of Conversational Artificial Intelligence Before and After Programming Alexa. - Xin Huang, Xue-Lei Lin, Michael K. Ng, Hai-Wei Sun:
Spectral analysis for preconditioning of multi-dimensional Riesz fractional diffusion equations. - Pooja Nayak Muralidhar, Digvijay Katyal, B. Sundar Rajan:
Improved Multi-access Coded Caching Schemes from Cross Resolvable Designs. - Wenxuan Zhou, Muhao Chen:
An Improved Baseline for Sentence-level Relation Extraction. - Zhaohua Zheng, Yize Zhou, Yilong Sun, Zhang Wang, Boyi Liu, Keqiu Li:
Federated Learning in Smart Cities: A Comprehensive Survey. - Tobias Heuer, Nikolai Maas, Sebastian Schlag:
Multilevel Hypergraph Partitioning with Vertex Weights Revisited. - Dong-Keon Kim, Donghee Kim, Kwangsu Kim:
Facial Manipulation Detection Based on the Color Distribution Analysis in Edge Region. - Mario Zanon, Sébastien Gros, Michele Palladino:
Stability-Constrained Markov Decision Processes Using MPC. - Yuhan Liu, Saurabh Agarwal, Shivaram Venkataraman:
AutoFreeze: Automatically Freezing Model Blocks to Accelerate Fine-tuning. - Bjarne A. Grimstad, Mathilde Hotvedt, Anders T. Sandnes, Odd Kolbjørnsen, Lars Struen Imsland:
Bayesian Neural Networks for Virtual Flow Metering: An Empirical Study. - Ilias Leontiadis, Stefanos Laskaridis, Stylianos I. Venieris, Nicholas D. Lane:
It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation. - Simon Scherrer, Che-Yu Wu, Yu-Hsi Chiang, Benjamin Rothenberger, Daniele Enrico Asoni, Arish Sateesan, Jo Vliegen, Nele Mentens, Hsu-Chun Hsiao, Adrian Perrig:
Low-Rate Overuse Flow Tracer (LOFT): An Efficient and Scalable Algorithm for Detecting Overuse Flows. - Alessandra Toniato, Philippe Schwaller, Antonio Cardinale, Joppe Geluykens, Teodoro Laino:
Unassisted Noise Reduction of Chemical Reaction Data Sets. - Yifan Xie, Xiang Yin, Shaoyuan Li:
Optimal Synthesis of Opacity-Enforcing Supervisors for Qualitative and Quantitative Specifications. - Nayaneesh Kumar Mishra, Satish Kumar Singh:
Face Recognition Using Sf3CNN With Higher Feature Discrimination. - Ruben Tolosana, Juan-Carlos Ruiz-Garcia, Rubén Vera-Rodríguez, Jaime Herreros-Rodriguez, Sergio Romero-Tapiador, Aythami Morales, Julian Fiérrez:
Child-Computer Interaction: Recent Works, New Dataset, and Age Detection. - Blazej Leporowski, Daniella Tola, Casper Hansen, Alexandros Iosifidis:
AURSAD: Universal Robot Screwdriving Anomaly Detection Dataset. - Henderik Alex Proper:
Interactive Query Formulation using Point to Point Queries. - Yonatan Yehezkeally, Nikita Polyanskii:
On Codes for the Noisy Substring Channel. - Yusuf Samil Ezer:
Two Social Concepts in Virtual Communities: Trust and Reputation. - Weiheng Jiang, Yu Zhang:
Joint Transmit Precoding and Reflect Beamforming Design for IRS-Assisted MIMO Cognitive Radio Systems. - Miguel Domingo, Francisco Casacuberta:
Two Demonstrations of the Machine Translation Applications to Historical Documents. - Yang Lyu, Muqing Cao, Shenghai Yuan, Lihua Xie:
Vision Based Autonomous UAV Plane Estimation And Following for Building Inspection. - Ondrej Sokol, Vladimír Holý:
Clustering with Penalty for Joint Occurrence of Objects: Computational Aspects. - Xue Liu, Wei Wei, Xiangnan Feng, Xiaobo Cao, Dan Sun:
Graph Classification Based on Skeleton and Component Features. - Iuliana Marin, Myssar Jabbar Hammood Al-Battbootti, Nicolae Goga:
Drone Control based on Mental Commands and Facial Expressions. - Florian Wirthmüller, Marvin Klimke, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert:
Predicting the Time Until a Vehicle Changes the Lane Using LSTM-based Recurrent Neural Networks. - Jasper Juchem, Amélie Chevalier, Kevin Dekemele, Mia Loccufier:
First Order Plus Fractional Diffusive Delay Modeling: interconnected discrete systems. - Pierre El Mqirmi, Francesco Belardinelli, Borja G. León:
An Abstraction-based Method to Verify Multi-Agent Deep Reinforcement-Learning Behaviours. - Jingbin Huang, Fei Liu, Florian Richter, Michael C. Yip:
Model-Predictive Control of Blood Suction for Surgical Hemostasis using Differentiable Fluid Simulations. - Ruben Lapauw, Maurice Bruynooghe, Marc Denecker:
Justifications and a Reconstruction of Parity Game Solving Algorithms. - Nayaneesh Kumar Mishra, Satish Kumar Singh:
Face Recognition using 3D CNNs. - Guodong Yin, Yi Cai, Juejian Wu, Zhengyang Duan, Zhenhua Zhu, Yongpan Liu, Yu Wang, Huazhong Yang, Xueqing Li:
Enabling Lower-Power Charge-Domain Nonvolatile In-Memory Computing with Ferroelectric FETs. - Shu-Jie Cao, Lihui Yi, Haoning Chen, Youlong Wu:
Optimal Coding Scheme and Resource Allocation for Distributed Computation with Limited Resources. - Adrian Ebert, Friedrich Pillichshammer:
Tractability of approximation in the weighted Korobov space in the worst-case setting - a complete picture. - Shayan Hashemi, Mika Mäntylä:
Detecting Anomalies in Software Execution Logs with Siamese Network. - Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, John Thickstun, Yejin Choi, Zaïd Harchaoui:
MAUVE: Human-Machine Divergence Curves for Evaluating Open-Ended Text Generation. - Neo C. K. Yiu:
Decentralizing Supply Chain Anti-Counterfeiting Systems Using Blockchain Technology. - Luigi Riso, Marco Guerzoni:
Drift Estimation with Graphical Models. - Alessandro Saviolo, Matteo Bonotto, Daniele Evangelista, Marco Imperoli, Emanuele Menegatti, Alberto Pretto:
Learning to Segment Human Body Parts with Synthetically Trained Deep Convolutional Networks. - Yinbo Yu, Jiajia Liu:
TAPInspector: Safety and Liveness Verification of Concurrent Trigger-Action IoT Systems. - Carsten Schneider:
Term Algebras, Canonical Representations and Difference Ring Theory for Symbolic Summation. - Muneeb Ul Hassan, Mubashir Husain Rehmani, Jinjun Chen:
Differentially Private Demand Side Management for Incentivized Dynamic Pricing in Smart Grid. - Muneeb Ul Hassan, Mubashir Husain Rehmani, Jinjun Chen:
VPT: Privacy Preserving Energy Trading and Block Mining Mechanism for Blockchain based Virtual Power Plants. - Jialin Hong, Derui Sheng, Tau Zhou:
A splitting semi-implicit method for stochastic incompressible Euler equations on T2. - Cheng Ma, Jiwen Lu, Jie Zhou:
Rank-Consistency Deep Hashing for Scalable Multi-Label Image Search. - Xinwei Fang, Radu Calinescu, Simos Gerasimou, Faisal Alhwikem:
Fast Parametric Model Checking through Model Fragmentation. - Salman Khalid, Waqas Bin Abbas, Farhan Khalid:
Deep Learning based Joint Precoder Design and Antenna Selection for Partially Connected Hybrid Massive MIMO Systems. - Hamed Jalali, Martin Pawelczyk, Gjergji Kasneci:
Gaussian Experts Selection using Graphical Models. - Muhammad N. Fakhruzzaman, Saidah Z. Jannah, Ratih A. Ningrum, Indah Fahmiyah:
Clickbait Headline Detection in Indonesian News Sites using Multilingual Bidirectional Encoder Representations from Transformers (M-BERT). - Andrei Vasilateanu, Nicolae Goga, Elena-Alice Tanase, Iuliana Marin:
Enterprise domain ontology learning from web-based corpus. - Satyapriya Krishna, Rahul Gupta, Christophe Dupuy:
ADePT: Auto-encoder based Differentially Private Text Transformation. - Mohammed ElKomy:
A Survey On (Stochastic Fractal Search) Algorithm. - Yangde Wang, Weidong Qiu, Yuming Xie, Yan Zha:
PatternMonitor: a whole pipeline with a much higher level of automation for guessing Android lock pattern based on videos. - Vladimir Sidorenko, Wenhui Li, Onur Günlü, Gerhard Kramer:
On Skew Convolutional and Trellis Codes. - Emre Demir, Ahmet Gökçen, Yakup Kutlu:
Android Controlled Mobile Robot Design with IP Camera. - Charline Le Lan, Marc G. Bellemare, Pablo Samuel Castro:
Metrics and continuity in reinforcement learning. - V. Priya, I. Sumaiya Thaseen, Thippa Reddy Gadekallu, Mohamed K. Aboudaif, Emad S. Abouel Nasr:
Robust Attack Detection Approach for IIoT Using Ensemble Classifier. - Lakshmi Prasad Natarajan, Smiju Kodamthuruthil Joy:
Permute & Add Network Codes via Group Algebras. - Yalan Qin, Guorui Feng, Hanzhou Wu, Yanli Ren, Xinpeng Zhang:
Orientation Convolutional Networks for Image Recognition. - Arman Sharififar, Parastoo Sadeghi, Neda Aboutorab:
Broadcast Rate Requires Nonlinear Coding in a Unicast Index Coding Instance of Size 36. - Yuanpeng He:
A new distance measure of Pythagorean fuzzy sets based on matrix and and its application in medical diagnosis. - Demian Hespe, Sebastian Lamm, Christian Schorr:
Targeted Branching for the Maximum Independent Set Problem. - Tatiana Brailovskaya, Miklós Z. Rácz:
Tree trace reconstruction using subtraces. - Binbin Zhang, Di Wu, Chao Yang, Xiaoyu Chen, Zhendong Peng, Xiangming Wang, Zhuoyuan Yao, Xiong Wang, Fan Yu, Lei Xie, Xin Lei:
WeNet: Production First and Production Ready End-to-End Speech Recognition Toolkit. - Andre Potenza, Andrey Kiselev, Alessandro Saffiotti, Amy Loutfi:
An Open-Source Modular Robotic System for Telepresence and Remote Disinfection. - Jiyang Qi, Yan Gao, Yao Hu, Xinggang Wang, Xiaoyu Liu, Xiang Bai, Serge J. Belongie, Alan L. Yuille, Philip H. S. Torr, Song Bai:
Occluded Video Instance Segmentation. - Shuo Huang, Zhuang Li, Lizhen Qu, Lei Pan:
On Robustness of Neural Semantic Parsers. - Richard Hawkins, Colin Paterson, Chiara Picardi, Yan Jia, Radu Calinescu, Ibrahim Habli:
Guidance on the Assurance of Machine Learning in Autonomous Systems (AMLAS). - Luis J. Muñoz-Molina, Ignacio Cazorla-Piñar, Juan Pedro Dominguez-Morales, Fernando Perez-Peña:
Real-time detection of uncalibrated sensors using Neural Networks. - Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai, Karthikeyan Shanmugam:
A Lyapunov Theory for Finite-Sample Guarantees of Asynchronous Q-Learning and TD-Learning Variants. - Sitan Chen, Zhao Song, Runzhou Tao, Ruizhe Zhang:
Symmetric Boolean Factor Analysis with Applications to InstaHide. - Rahman Salim Zengin, Volkan Sezer:
Super-klust: Another Way of Piecewise Linear Classification. - James Scott Broadhead, Przemyslaw Pawelczak:
Data Freshness in Mixed-Memory Intermittently-Powered Systems. - Marco Gaido, Mauro Cettolo, Matteo Negri, Marco Turchi:
CTC-based Compression for Direct Speech Translation. - Xiangyu Xu, Yongrui Ma, Wenxiu Sun, Ming-Hsuan Yang:
Exploiting Raw Images for Real-Scene Super-Resolution. - Daniel Zhengyu Huang, Tapio Schneider, Andrew M. Stuart:
Unscented Kalman Inversion. - Mats L. Richter, Wolf Byttner, Ulf Krumnack, Ludwig Schallner, Justin Shenk:
Size Matters. - Blake E. Woodworth, Brian Bullins, Ohad Shamir, Nathan Srebro:
The Min-Max Complexity of Distributed Stochastic Convex Optimization with Intermittent Communication. - Kai Cui, Heinz Koeppl:
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning. - Mohammad H. Jafari, Christina Luong, Michael Y. Tsang, Ang Nan Gu, Nathan Van Woudenberg, Robert Rohling, Teresa Tsang, Purang Abolmaesumi:
U-LanD: Uncertainty-Driven Video Landmark Detection. - Michael Khayyat, Stefano Arrigoni, Federico Cheli:
Development and Simulation-based Testing of a 5G-Connected Intersection AEB System. - Amirhossein Malekijoo, Mohammad Javad Fadaeieslam, Hanieh Malekijou, Morteza Homayounfar, Farshid Alizadeh-Shabdiz, Reza Rawassizadeh:
FEDZIP: A Compression Framework for Communication-Efficient Federated Learning. - Yaël Balbastre, Mikael Brudfors, Michela Azzarito, Christian Lambert, Martina F. Callaghan, John Ashburner:
Model-based multi-parameter mapping. - Katharina Ensinger, Friedrich Solowjow, Michael Tiemann, Sebastian Trimpe:
Symplectic Gaussian Process Dynamics. - Hrishikesh Dutta, Subir Biswas:
Towards Multi-agent Reinforcement Learning for Wireless Network Protocol Synthesis. - David Mödinger, Jan-Hendrik Lorenz, Franz J. Hauck:
Statistical privacy preserving message dissemination for peer-to-peer networks. - Luca Venturi, Samy Jelassi, Tristan Ozuch, Joan Bruna:
Depth separation beyond radial functions. - Zhiyu Zhang, Ashok Cutkosky, Ioannis Ch. Paschalidis:
Strongly Adaptive OCO with Memory. - Placido Mursia, Italo Atzeni, Mari Kobayashi, David Gesbert:
D2D-Aided Multi-Antenna Multicasting under Generalized CSIT. - Sohini Roychowdhury, Ebrahim Alareqi, Wenxi Li:
OPAM: Online Purchasing-behavior Analysis using Machine learning. - Leonardo Humberto Silva, Renata Xavier Castro, Marice Costa Guimaraes:
Supporting Real Demands in Software Engineering with a Four Steps Project-Based Learning Approach. - Jirí Síma:
Stronger Separation of Analog Neuron Hierarchy by Deterministic Context-Free Languages. - Axel Målqvist, Barbara Verfürth:
An offline-online strategy for multiscale problems with random defects. - Xiao Lu, Dusit Niyato, Hai Jiang, Ekram Hossain, Ping Wang:
Ambient Backscatter-Assisted Wireless-Powered Relaying. - Pramit Saha, Debasish Ray Mohapatra, Sidney S. Fels:
SPEAK WITH YOUR HANDS - Using Continuous Hand Gestures to control Articulatory Speech Synthesizer. - Henry Fielding Cappel:
A Hierarchical Multi-Robot Mapping Architecture Subject to Communication Constraints. - Xiang Zhang, Kai Wan, Hua Sun, Mingyue Ji, Giuseppe Caire:
A New Design of Cache-aided Multiuser Private Information Retrieval with Uncoded Prefetching. - Jonathan Protzenko, Son Ho:
Zero-cost meta-programmed stateful functors in F. - Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini:
Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search. - Steve Hanneke, Roi Livni, Shay Moran:
Online Learning with Simple Predictors and a Combinatorial Characterization of Minimax in 0/1 Games. - Cyrille Feudjio, Victoire Djimna Noyum, Younous Perieukeu Mofendjou, Rockefeller, Ernest Fokoué:
A Novel Use of Discrete Wavelet Transform Features in the Prediction of Epileptic Seizures from EEG Data. - Roman Jurowetzki, Daniel S. Hain, Juan Mateos-Garcia, Konstantinos Stathoulopoulos:
The Privatization of AI Research(-ers): Causes and Potential Consequences - From university-industry interaction to public research brain-drain? - Jinjiang Guo, Jie Li, Dawei Leng, Lurong Pan:
Heterogeneous Graph based Deep Learning for Biomedical Network Link Prediction. - Paola Francesca Antonietti, Gianmarco Manzini, Ilario Mazzieri, Simone Scacchi, Marco Verani:
The conforming virtual element method for polyharmonic and elastodynamics problems: a review. - Nahid Esmati, Anoosheh Heidarzadeh, Alex Sprintson:
Private Linear Transformation: The Individual Privacy Case. - Nahid Esmati, Anoosheh Heidarzadeh, Alex Sprintson:
Private Linear Transformation: The Joint Privacy Case. - Kale-ab Abebe Tessera, Sara Hooker, Benjamin Rosman:
Keep the Gradients Flowing: Using Gradient Flow to Study Sparse Network Optimization. - Mohammad Vahid Jamali, Xiyang Liu, Ashok Vardhan Makkuva, Hessam Mahdavifar, Sewoong Oh, Pramod Viswanath:
Reed-Muller Subcodes: Machine Learning-Aided Design of Efficient Soft Recursive Decoding. - Sebastian Gehrmann, Tosin P. Adewumi, Karmanya Aggarwal, Pawan Sasanka Ammanamanchi, Aremu Anuoluwapo, Antoine Bosselut, Khyathi Raghavi Chandu, Miruna-Adriana Clinciu, Dipanjan Das, Kaustubh D. Dhole, Wanyu Du, Esin Durmus, Ondrej Dusek, Chris Emezue, Varun Gangal, Cristina Garbacea, Tatsunori Hashimoto, Yufang Hou, Yacine Jernite, Harsh Jhamtani, Yangfeng Ji, Shailza Jolly, Dhruv Kumar, Faisal Ladhak, Aman Madaan, Mounica Maddela, Khyati Mahajan, Saad Mahamood, Bodhisattwa Prasad Majumder, Pedro Henrique Martins, Angelina McMillan-Major, Simon Mille, Emiel van Miltenburg, Moin Nadeem, Shashi Narayan, Vitaly Nikolaev, Rubungo Andre Niyongabo, Salomey Osei, Ankur P. Parikh, Laura Perez-Beltrachini, Niranjan Ramesh Rao, Vikas Raunak, Juan Diego Rodriguez, Sashank Santhanam, João Sedoc, Thibault Sellam, Samira Shaikh, Anastasia Shimorina, Marco Antonio Sobrevilla Cabezudo, Hendrik Strobelt, Nishant Subramani, Wei Xu, Diyi Yang, Akhila Yerukola, Jiawei Zhou:
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics. - Tom Everitt, Ryan Carey, Eric D. Langlois, Pedro A. Ortega, Shane Legg:
Agent Incentives: A Causal Perspective. - Hal Finkel, Ignacio Laguna:
Report of the Workshop on Program Synthesis for Scientific Computing. - Wei-Lin Hsiao, Kristen Grauman:
From Culture to Clothing: Discovering the World Events Behind A Century of Fashion Images. - Ana Lilia Alvarez-Blanco, Eugenia Cordoba-Warner, Marvin Coto-Jiménez, Vivian Fallas-Lopez, Maribel Morales Rodriguez:
Generacion de voces artificiales infantiles en castellano con acento costarricense. - Cesar R. Salas-Guerra:
Skills-based on technological knowledge in the digital economy activity. - Assane Gueye, Peter Mell:
A Historical and Statistical Studyof the Software Vulnerability Landscape. - Amir Yazdanbakhsh, Christof Angermüller, Berkin Akin, Yanqi Zhou, Albin Jones, Milad Hashemi, Kevin Swersky, Satrajit Chatterjee, Ravi Narayanaswami, James Laudon:
Apollo: Transferable Architecture Exploration. - (Withdrawn) On the Power of False Negative Awareness in Indicator-based Caching Systems.
- Reed Oei, Dun Ma, Christian Schulz, Philipp Hieronymi:
Pecan: An Automated Theorem Prover for Automatic Sequences using Büchi Automata. - Alexandra M. Porter, Mary Wootters:
On Greedy Approaches to Hierarchical Aggregation. - Selima Curci, Decebal Constantin Mocanu, Mykola Pechenizkiy:
Truly Sparse Neural Networks at Scale. - Wentai Wu, Ligang He, Weiwei Lin, Rui Mao, Chenlin Huang, Wei Song:
FedProf: Optimizing Federated Learning with Dynamic Data Profiling. - Myroslav K. Sparavalo:
Canonical Form of Lyapunov Second Method in Mathematical Modelling and Control Design. - Jacopo Marconi, Paolo Tiso, Davide E. Quadrelli, Francesco Braghin:
An enhanced parametric nonlinear reduced order model for imperfect structures using Neumann expansion. - Yili Hong, Jie Min, Caleb B. King, William Q. Meeker:
Reliability Analysis of Artificial Intelligence Systems Using Recurrent Events Data from Autonomous Vehicles. - Roger Zhe Li, Julián Urbano, Alan Hanjalic:
Leave No User Behind: Towards Improving the Utility of Recommender Systems for Non-mainstream Users. - Vinícius da Silva, Tiago Novello, Hélio Lopes, Luiz Velho:
Real-time rendering of complex fractals. - Ming Yin, Yu Bai, Yu-Xiang Wang:
Near-Optimal Offline Reinforcement Learning via Double Variance Reduction. - Zahra Salahshoori Nejad, Hamed Heravi, Ali Rahimpour Jounghani, Abdollah Shahrezaie, Afshin Ebrahimi:
Vehicle trajectory prediction in top-view image sequences based on deep learning method. - Shira Faigenbaum-Golovin, David Levin:
Manifold Repairing, Reconstruction and Denoising from Scattered Data in High-Dimension. - Qianqian Zhang, Aidin Ferdowsi, Walid Saad, Mehdi Bennis:
Distributed Conditional Generative Adversarial Networks (GANs) for Data-Driven Millimeter Wave Communications in UAV Networks. - Alexander Korotin, Lingxiao Li, Justin Solomon, Evgeny Burnaev:
Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization. - Weiquan Fan, Xiangmin Xu, Xiaofen Xing, Weidong Chen, Dongyan Huang:
LSSED: a large-scale dataset and benchmark for speech emotion recognition. - Elizabeth Salesky, Matthew Wiesner, Jacob Bremerman, Roldano Cattoni, Matteo Negri, Marco Turchi, Douglas W. Oard, Matt Post:
The Multilingual TEDx Corpus for Speech Recognition and Translation. - Luciana Ferrer, Mitchell McLaren, Niko Brummer:
A Speaker Verification Backend with Robust Performance across Conditions. - Ali Ansari, Fatemeh Golshan, Pejman Lotfi-Kamran, Hamid Sarbazi-Azad:
MANA: Microarchitecting an Instruction Prefetcher. - Jorge Miguel Silva, Diogo Pratas, Rui Antunes, Sérgio Matos, Armando J. Pinho:
Automatic analysis of artistic paintings using information-based measures. - Brendan David-John, Diane Hosfelt, Kevin R. B. Butler, Eakta Jain:
A privacy-preserving approach to streaming eye-tracking data. - Praneeth Kumar Vippathalla, Chung Chan, Navin Kashyap, Qiaoqiao Zhou:
Secret Key Agreement and Secure Omniscience of Tree-PIN Source with Linear Wiretapper. - Chun Kai Ling, Noam Brown:
Safe Search for Stackelberg Equilibria in Extensive-Form Games. - Mauro Lucci, Daniel Severín, Paula Zabala:
A metaheuristic for crew scheduling in a pickup-and-delivery problem with time windows. - Yi-Shiou Duh, Ray Chang:
Recurrent Neural Network for MoonBoard Climbing Route Classification and Generation. - William H. Mitchell, Henry G. Bell, Yoichiro Mori, Laurel Ohm, Daniel Spirn:
A single-layer based numerical method for the slender body boundary value problem. - Atefeh Shahroudnejad:
A Survey on Understanding, Visualizations, and Explanation of Deep Neural Networks. - Madi Zholbaryssov, Alejandro D. Domínguez-García:
Data-Driven Secondary Control of Distributed Energy Resources. - Ariah Klages-Mundt, Andreea Minca:
Optimal Intervention in Economic Networks using Influence Maximization Methods. - Patrick Bahr:
Proceedings 11th International Workshop on Computing with Terms and Graphs, TERMGRAPH@FSCD 2020, Online, 5th July 2020. EPTCS 334, 2021 [contents] - Sayed Amir Hoseini, Ming Ding, Mahbub Hassan, Youjia Chen:
Analyzing the Impact of Molecular Re-Radiation on the MIMO Capacity in High-Frequency Bands. - Yuval Shahar:
The Ethical Implications of Shared Medical Decision Making without Providing Adequate Computational Support to the Care Provider and to the Patient. - Muslum Ozgur Ozmen, Xuansong Li, Andrew Chun-An Chu, Z. Berkay Celik, Bardh Hoxha, Xiangyu Zhang:
Discovering Physical Interaction Vulnerabilities in IoT Deployments. - Mingke Xu, Fan Zhang, Xiaodong Cui, Wei Zhang:
Speech Emotion Recognition with Multiscale Area Attention and Data Augmentation. - Xinqiao Zhang, Huili Chen, Farinaz Koushanfar:
TAD: Trigger Approximation based Black-box Trojan Detection for AI. - Aparna Elangovan, Jiayuan He, Karin Verspoor:
Memorization vs. Generalization: Quantifying Data Leakage in NLP Performance Evaluation. - Xinyue Kan, Thomas C. Thayer, Stefano Carpin, Konstantinos Karydis:
Task Planning on Stochastic Aisle Graphs for Precision Agriculture. - Zhewei Sun, Richard S. Zemel, Yang Xu:
A Computational Framework for Slang Generation. - Ricardo Di Pasquale, Javier Marenco:
Machine learning for improving performance in an evolutionary algorithm for minimum path with uncertain costs given by massively simulated scenarios. - Ricardo Di Pasquale, Javier Marenco:
Optimization meets Big Data: A survey. - Reyna Hulett, Shubham Chandak, Mary Wootters:
On Coding for an Abstracted Nanopore Channel for DNA Storage. - Yasufumi Taniguchi, Hiroki Nakayama, Takahiro Kubo, Jun Suzuki:
An Investigation Between Schema Linking and Text-to-SQL Performance. - Hiroki Kojima, Takashi Ikegami:
Organization of a Latent Space structure in VAE/GAN trained by navigation data. - Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong:
Provably Secure Federated Learning against Malicious Clients. - Said Al-Abri, Fumin Zhang:
A Distributed Active Perception Strategy for Source Seeking and Level Curve Tracking. - Andrew Giuliani:
A two-dimensional stabilized discontinuous Galerkin method on curvilinear embedded boundary grids. - Muhammad Hilmi Asyrofi, Imam Nur Bani Yusuf, Hong Jin Kang, Ferdian Thung, Zhou Yang, David Lo:
BiasFinder: Metamorphic Test Generation to Uncover Bias for Sentiment Analysis Systems. - An Yan, Xin Eric Wang, Tsu-Jui Fu, William Yang Wang:
L2C: Describing Visual Differences Needs Semantic Understanding of Individuals. - Zhuotong Chen, Qianxiao Li, Zheng Zhang:
Towards Robust Neural Networks via Close-loop Control. - Raj Prateek Kosaraju:
Deep CNNs for large scale species classification. - Geza Kovacs, Darren Edge:
QuizCram: A Quiz-Driven Lecture Viewing Interface. - Geza Kovacs:
Edvertisements: Adding Microlearning to Social News Feeds and Websites. - Sajad Khodadadian, AmirEmad Ghassami, Negar Kiyavash:
Impact of Data Processing on Fairness in Supervised Learning. - Shuyuan Xu, Yingqiang Ge, Yunqi Li, Zuohui Fu, Xu Chen, Yongfeng Zhang:
Causal Collaborative Filtering. - Praneet Singh, Jishnu Jaykumar, Akhil Pankaj, Reshmi Mitra:
Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network. - Ghazal Mazaheri, Kevin Urrutia Avila, Amit K. Roy-Chowdhury:
Learning to identify image manipulations in scientific publications. - Nafiul Rashid, Berken Utku Demirel, Mohammad Abdullah Al Faruque:
AHAR: Adaptive CNN for Energy-efficient Human Activity Recognition in Low-power Edge Devices. - Dali Zhu, Haitao Liu, Ting Li, Jiyan Sun, Jie Liang, Hangsheng Zhang, Liru Geng, Yinlong Liu:
Deep Reinforcement Learning-based Task Offloading in Satellite-Terrestrial Edge Computing Networks. - Wen Jun Lim, Mahyar Shirvanimoghaddam, Rana Abbas, Yonghui Li, Branka Vucetic:
Analysis and Design of Analog Fountain Codes for Short Packet Communications in IoT. - Ammar Mansoor Kamoona, Amirali Khodadadian Gostar, Alireza Bab-Hadiashar, Reza Hoseinnezhad:
Evaluation of Point Pattern Features for Anomaly Detection of Defect within Random Finite Set Framework. - Bekir Sait Ciftler, Abdulmalik Alwarafy, Mohamed M. Abdallah, Mounir Hamdi:
DQN-Based Multi-User Power Allocation for Hybrid RF/VLC Networks. - Xuefeng Du, Jingfeng Zhang, Bo Han, Tongliang Liu, Yu Rong, Gang Niu, Junzhou Huang, Masashi Sugiyama:
Learning Diverse-Structured Networks for Adversarial Robustness. - Francisco Romero, Mark Zhao, Neeraja J. Yadwadkar, Christos Kozyrakis:
Llama: A Heterogeneous & Serverless Framework for Auto-Tuning Video Analytics Pipelines. - Yangling Ma, Zhouwang Yang:
Multi-Instance Learning by Utilizing Structural Relationship among Instances. - Teruaki Akazawa, Yuma Kinoshita, Hitoshi Kiya:
Multi-color balancing for correctly adjusting the intensity of target colors. - Jing Tan, Jiaqi Tang, Limin Wang, Gangshan Wu:
Relaxed Transformer Decoders for Direct Action Proposal Generation. - Barak Or, Liam Hazan:
Length Learning for Planar Euclidean Curves. - Rucha Bhalchandra Joshi, Annada Prasad Behera, Subhankar Mishra:
Temporal Motifs in Smart Grid. - Harry Septanto, Djoko Suprijanto:
Linear Continuous Sliding Mode-based Attitude Controller with Modified Rodrigues Parameters Feedback. - Tianchi Cai, Daxi Cheng, Chen Liang, Ziqi Liu, Lihong Gu, Huizhi Xie, Zhiqiang Zhang, Xiaodong Zeng, Jinjie Gu:
LinkLouvain: Link-Aware A/B Testing and Its Application on Online Marketing Campaign. - Alexey Ignatiev, Edward Lam, Peter J. Stuckey, João Marques-Silva:
A Scalable Two Stage Approach to Computing Optimal Decision Sets. - Vinod K. Kurmi, Badri N. Patro, Venkatesh K. Subramanian, Vinay P. Namboodiri:
Do Not Forget to Attend to Uncertainty while Mitigating Catastrophic Forgetting. - Yucheng Liu, Lawrence Ong, Sarah Johnson, Jörg Kliewer, Parastoo Sadeghi, Phee Lep Yeoh:
Information Leakage in Zero-Error Source Coding: A Graph-Theoretic Perspective. - Avihay Chriqui, Inbal Yahav:
HeBERT & HebEMO: a Hebrew BERT Model and a Tool for Polarity Analysis and Emotion Recognition. - Qiang Li, Miaowen Wen, Shuai Wang, George C. Alexandropoulos, Yik-Chung Wu:
Space Shift Keying with Reconfigurable Intelligent Surfaces: Phase Configuration Designs and Performance Analysis. - Srujan Teja Thomdapu, Ketan Rajawat:
Optimizing QoS for Erasure-Coded Wireless Data Centers. - Yibing Liu, Yangyang Guo, Jianhua Yin, Xuemeng Song, Weifeng Liu, Liqiang Nie:
Answer Questions with Right Image Regions: A Visual Attention Regularization Approach. - Jun Fang:
Session-based Recommendation with Self-Attention Networks. - Iñaki Esnaola, Samir M. Perlaza, Ke Sun:
Data-Injection Attacks. - Jérémi Dardé, Nuutti Hyvönen, Topi Kuutela, Tuomo Valkonen:
Electrodeless electrode model for electrical impedance tomography. - Keisuke Imoto, Sakiko Mishima, Yumi Arai, Reishi Kondo:
Impact of Sound Duration and Inactive Frames on Sound Event Detection Performance. - HeeJong Park, Arvind Easwaran, Etienne Borde:
Online Cycle Detection for Models with Mode-Dependent Input and Output Dependencies. - Dogyoon Lee, Jaeha Lee, Junhyeop Lee, Hyeongmin Lee, Minhyeok Lee, Sungmin Woo, Sangyoun Lee:
Regularization Strategy for Point Cloud via Rigidly Mixed Sample. - Yucheng Zhao, Dacheng Yin, Chong Luo, Zhiyuan Zhao, Chuanxin Tang, Wenjun Zeng, Zheng-Jun Zha:
General-Purpose Speech Representation Learning through a Self-Supervised Multi-Granularity Framework. - Seunghyuk Cho, Minsoo Koo, Dongwoo Kim, Juyong Lee, Yeonwoo Jung, Kibyung Nam, Changmo Hwang:
Roughly Collected Dataset for Contact Force Sensing Catheter. - Liangxi Liu, Feng Zheng:
A Bayesian Federated Learning Framework with Multivariate Gaussian Product. - Prafulla Chandra, Andrew Thangaraj, Nived Rajaraman:
Missing Mass of Rank-2 Markov Chains. - Xiaogang Jia, Wei Chen, Zhengfa Liang, Yusong Tan, Mingfei Wu:
Multi-Scale Cost Volumes Cascade Network for Stereo Matching. - Zainab Abaid, Dilip Sarkar, Mohamed Ali Kâafar, Sanjay K. Jha:
All Infections are Not Created Equal: Time-Sensitive Prediction of Malware Generated Network Attacks. - Angeliki Lazaridou, Adhiguna Kuncoro, Elena Gribovskaya, Devang Agrawal, Adam Liska, Tayfun Terzi, Mai Gimenez, Cyprien de Masson d'Autume, Sebastian Ruder, Dani Yogatama, Kris Cao, Tomás Kociský, Susannah Young, Phil Blunsom:
Pitfalls of Static Language Modelling. - Zhaoyang Pang, Callum Biggs O'May, Bhavin Choksi, Rufin VanRullen:
Predictive coding feedback results in perceived illusory contours in a recurrent neural network. - Hojung Lee, Cho-Jui Hsieh, Jong-Seok Lee:
Local Critic Training for Model-Parallel Learning of Deep Neural Networks. - Omar Zahra, David Navarro-Alarcon, Silvia Tolu:
A Neurorobotic Embodiment for Exploring the Dynamical Interactions of a Spiking Cerebellar Model and a Robot Arm During Vision-based Manipulation Tasks. - Claire Theobald, Frédéric Pennerath, Brieuc Conan-Guez, Miguel Couceiro, Amedeo Napoli:
A Bayesian Neural Network based on Dropout Regulation. - Magnus Baunsgaard Kristensen, Rasmus Ejlers Møgelberg, Andrea Vezzosi:
A model of Clocked Cubical Type Theory. - Jiashuo Zhang, Jianbo Gao, Ke Wang, Zhenhao Wu, Ying Lan, Zhi Guan, Zhong Chen:
TBFT: Understandable and Efficient Byzantine Fault Tolerance using Trusted Execution Environment. - Minjeong Shin, Alasdair Tran, Siqi Wu, Alexander Patrick Mathews, Rong Wang, Georgiana Lyall, Lexing Xie:
AttentionFlow: Visualising Influence in Networks of Time Series. - Viraj Kulkarni, Manish Gawali, Amit Kharat:
Key Technology Considerations in Developing and Deploying Machine Learning Models in Clinical Radiology Practice. - Arushi Jain, Gandharv Patil, Ayush Jain, Khimya Khetarpal, Doina Precup:
Variance Penalized On-Policy and Off-Policy Actor-Critic. - Muhammad Ferjad Naeem, Yongqin Xian, Federico Tombari, Zeynep Akata:
Learning Graph Embeddings for Compositional Zero-shot Learning. - Yu Deng, Ling Wang, Chen Zhao, Shaojie Tang, Xiaoguang Cheng, Hong-Wen Deng, Weihua Zhou:
A Deep Learning-Based Approach to Extracting Periosteal and Endosteal Contours of Proximal Femur in Quantitative CT Images. - Shengkui Zhao, Hao Wang, Trung Hieu Nguyen, Bin Ma:
Towards Natural and Controllable Cross-Lingual Voice Conversion Based on Neural TTS Model and Phonetic Posteriorgram. - Shengkui Zhao, Trung Hieu Nguyen, Bin Ma:
Monaural Speech Enhancement with Complex Convolutional Block Attention Module and Joint Time Frequency Losses. - Gergei Bana, Wojciech Jamroga, David Naccache, Peter Y. A. Ryan:
Convergence Voting: From Pairwise Comparisons to Consensus. - Guang Yang, Qinghao Ye, Jun Xia:
Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond. - David Sinclair, Christopher Town:
A generalised feature for low level vision. - Orestis Georgiou, Constantinos Psomas, Eleni Demarchou, Ioannis Krikidis:
LoRa Network Performance Under Ambient Energy Harvesting and Random Transmission Schemes. - My Kieu, Lorenzo Berlincioni, Leonardo Galteri, Marco Bertini, Andrew D. Bagdanov, Alberto Del Bimbo:
Robust pedestrian detection in thermal imagery using synthesized images. - Tanvir Alam, Jens Schneider:
Social Network Analysis of Hadith Narrators from Sahih Bukhari. - Steven Chaplick, Philipp Kindermann, Jonathan Klawitter, Ignaz Rutter, Alexander Wolff:
Extending Partial Representations of Rectangular Duals with Given Contact Orientations. - Gholamali Aminian, Laura Toni, Miguel R. D. Rodrigues:
Information-Theoretic Bounds on the Moments of the Generalization Error of Learning Algorithms. - Antonio Mastropaolo, Simone Scalabrino, Nathan Cooper, David Nader-Palacio, Denys Poshyvanyk, Rocco Oliveto, Gabriele Bavota:
Studying the Usage of Text-To-Text Transfer Transformer to Support Code-Related Tasks. - Orestis Georgiou, Constantinos Psomas, Christodoulos Skouroumounis, Ioannis Krikidis:
Optimal Non-Uniform Deployments of LoRa Networks. - Sebastian Cmentowski, Andrey Krekhov, André Zenner, Daniel Kucharski, Jens H. Krüger:
Towards Sneaking as a Playful Input Modality for Virtual Environments. - Rucha Bhalchandra Joshi, Subhankar Mishra:
Learning Graph Representations. - Francesc Lluís, Vasileios Chatziioannou, Alex Hofmann:
Music source separation conditioned on 3D point clouds. - Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Xuanyi Dong, Chengqi Zhang:
Isometric Propagation Network for Generalized Zero-shot Learning. - Linping Yuan, Ziqi Zhou, Jian Zhao, Yiqiu Guo, Fan Du, Huamin Qu:
InfoColorizer: Interactive Recommendation of Color Palettes for Infographics. - Gellért Weisz, Philip Amortila, Barnabás Janzer, Yasin Abbasi-Yadkori, Nan Jiang, Csaba Szepesvári:
On Query-efficient Planning in MDPs under Linear Realizability of the Optimal State-value Function. - Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou:
Trusted Multi-View Classification. - Jiarong Li, Jin Lin, Yonghua Song, Jinyu Xiao, Feng Liu, Yuxuan Zhao, Sen Zhan:
Technoeconomic Supplement of P2G Clusters with Hydrogen Pipeline for Coordinated Renewable Energy and HVDC Systems. - Munyque Mittelmann, Sylvain Bouveret, Laurent Perrussel:
A General Framework for the Logical Representation of Combinatorial Exchange Protocols. - Rob Ward, Burak Sencer, Bryn Jones, Erdem Ozturk:
Accurate Prediction Of Machining Feedrate And Cycle Time Prediction Considering Interpolator Dynamics. - Xuecong Sun, Han Jia, Yuzhen Yang, Han Zhao, Yafeng Bi, Zhaoyong Sun, Jun Yang:
Acoustic Structure Inverse Design and Optimization Using Deep Learning. - Hassnaa El-Derhalli, Léa Constans, Sébastien Le Beux, Alfredo De Rossi, Fabrice Raineri, Sofiène Tahar:
Optical Stochastic Computing Architectures Using Photonic Crystal Nanocavities. - Xuxue Sun, Nazmus Sakib, Nan Kong, Hongdao Meng, Kathryn Hyer, Chris Masterson, Mingyang Li:
An Analytics-based Decision Support System for Resource Planning under Heterogeneous Service Demand of Nursing Home Residents. - Achintya Kumar Sarkar, Md. Sahidullah, Zheng-Hua Tan:
Data Generation Using Pass-phrase-dependent Deep Auto-encoders for Text-Dependent Speaker Verification. - Huan Chang, Yicheng Chen, Baochang Zhang, David S. Doermann:
Multi-UAV Mobile Edge Computing and Path Planning Platform based on Reinforcement Learning. - Qinbin Li, Yiqun Diao, Quan Chen, Bingsheng He:
Federated Learning on Non-IID Data Silos: An Experimental Study. - Fajri Koto, Jey Han Lau, Timothy Baldwin:
Top-down Discourse Parsing via Sequence Labelling. - Patrick Abels, Zahra Ahmadi, Sophie Burkhardt, Benjamin Schiller, Iryna Gurevych, Stefan Kramer:
Focusing Knowledge-based Graph Argument Mining via Topic Modeling. - Marie Roald, Carla Schenker, Jeremy E. Cohen, Evrim Acar:
PARAFAC2 AO-ADMM: Constraints in all modes. - Jinpeng Li, Yaling Tao, Ting Cai:
Investigating Critical Risk Factors in Liver Cancer Prediction. - Michael Franklin Mbouopda, Engelbert Mephu Nguifo:
Uncertain Time Series Classification With Shapelet Transform. - Philip R. Doyle, Leigh Clark, Benjamin R. Cowan:
What Do We See in Them? Identifying Dimensions of Partner Models for Speech Interfaces Using a Psycholexical Approach. - Huang He, Hua Lu, Siqi Bao, Fan Wang, Hua Wu, Zhengyu Niu, Haifeng Wang:
Learning to Select External Knowledge with Multi-Scale Negative Sampling. - Ahmet Ercan Tekden, Aykut Erdem, Erkut Erdem, Tamim Asfour, Emre Ugur:
Object and Relation Centric Representations for Push Effect Prediction. - Maurice Jamieson, Nick Brown:
Compact Native Code Generation for Dynamic Languages on Micro-core Architectures. - Maximin Coavoux, Shay B. Cohen:
Learning to Match Mathematical Statements with Proofs. - Sandra Wankmüller:
Neural Transfer Learning with Transformers for Social Science Text Analysis. - Irene Li:
Detecting Bias in Transfer Learning Approaches for Text Classification. - Zhongchang Liu, Wing Shing Wong:
Group Consensus of Linear Multi-agent Systems under Nonnegative Directed Graphs. - Yinbin Ma, Daniela Tuninetti:
A General Coded Caching Scheme for Scalar Linear Function Retrieval. - Qian Guo, Erik Mårtensson, Paul Stankovski Wagner:
On the Sample Complexity of solving LWE using BKW-Style Algorithms. - Christopher Gebauer, Maren Bennewitz:
Learning a Compact State Representation for Navigation Tasks by Autoencoding 2D-Lidar Scans. - Yixiang Wang, Jiqiang Liu, Xiaolin Chang, Jelena V. Misic, Vojislav B. Misic:
IWA: Integrated Gradient based White-box Attacks for Fooling Deep Neural Networks. - Alarith Uhde, Matthias Laschke, Marc Hassenzahl:
Design and Appropriation of Computer-supported Self-scheduling Practices in Healthcare Shift Work. - Farouq Zitouni, Saad Harous, Abdelghani Belkeram, Lokman Elhakim Baba Hammou:
The Archerfish Hunting Optimizer: a novel metaheuristic algorithm for global optimization. - Alessandro Castelnovo, Riccardo Crupi, Giulia Del Gamba, Greta Greco, Aisha Naseer, Daniele Regoli, Beatriz San Miguel González:
BeFair: Addressing Fairness in the Banking Sector. - Omar Montasser, Steve Hanneke, Nathan Srebro:
Adversarially Robust Learning with Unknown Perturbation Sets. - Rishabh Goyal, Joaquin Vanschoren, Victor van Acht, Stephan Nijssen:
Fixed-point Quantization of Convolutional Neural Networks for Quantized Inference on Embedded Platforms. - Viviane Clay, Peter König, Gordon Pipa, Kai-Uwe Kühnberger:
Fast Concept Mapping: The Emergence of Human Abilities in Artificial Neural Networks when Learning Embodied and Self-Supervised. - Henry D. Pfister, Ido Tal:
Polar Codes for Channels with Insertions, Deletions, and Substitutions. - Sven Puchinger, Julian Renner, Antonia Wachter-Zeh, Jens Zumbrägel:
Efficient Decoding of Gabidulin Codes over Galois Rings. - Amit Attia, Tomer Koren:
The Instability of Accelerated Gradient Descent. - Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart, Yuxin Sun:
Outlier-Robust Learning of Ising Models Under Dobrushin's Condition. - Rebecka Winqvist, Arun Venkitaraman, Bo Wahlberg:
Learning Models of Model Predictive Controllers using Gradient Data. - Prasad Krishnan, Rogers Mathew, Subrahmanyam Kalyanasundaram:
Pliable Index Coding via Conflict-Free Colorings of Hypergraphs. - Tiago Pimentel, Ryan Cotterell, Brian Roark:
Disambiguatory Signals are Stronger in Word-initial Positions. - Janaki Sheth, Young-Suk Lee, Ramón Fernandez Astudillo, Tahira Naseem, Radu Florian, Salim Roukos, Todd Ward:
Bootstrapping Multilingual AMR with Contextual Word Alignments. - Sarik Ghazarian, Zixi Liu, Tuhin Chakrabarty, Xuezhe Ma, Aram Galstyan, Nanyun Peng:
DiSCoL: Toward Engaging Dialogue Systems through Conversational Line Guided Response Generation. - Kasper Green Larsen, Rasmus Pagh, Jakub Tetek:
CountSketches, Feature Hashing and the Median of Three. - Markku-Juhani O. Saarinen:
On Entropy and Bit Patterns of Ring Oscillator Jitter. - Peter Hase, Mohit Bansal:
When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data. - Agrim Gupta, Silvio Savarese, Surya Ganguli, Li Fei-Fei:
Embodied Intelligence via Learning and Evolution. - Albert Weichselbraun, Adrian M. P. Brasoveanu, Roger Waldvogel, Fabian Odoni:
Harvest - An Open Source Toolkit for Extracting Posts and Post Metadata from Web Forums. - Setareh Sharifian, Reihaneh Safavi-Naini:
Information-theoretic Key Encapsulation and its Application to Secure Communication. - Cornelia Ott, Sven Puchinger, Martin Bossert:
Bounds and Genericity of Sum-Rank-Metric Codes. - Ciprian-Octavian Truica, Elena Simona Apostol, Jérôme Darmont, Torben Bach Pedersen:
The Forgotten Document-Oriented Database Management Systems: An Overview and Benchmark of Native XML DODBMSes in Comparison with JSON DODBMSes. - Michael Neuder, Daniel J. Moroz, Rithvik Rao, David C. Parkes:
Low-cost attacks on Ethereum 2.0 by sub-1/3 stakeholders. - Paolo Rocca, Lorenzo Poli, Alessandro Polo, Andrea Massa:
Optimal Excitation Matching Strategy for Sub-Arrayed Phased Linear Arrays Generating Arbitrary-Shaped Beams. - Paolo Rocca, Nicola Anselmi, Alessandro Polo, Andrea Massa:
Modular Design of Hexagonal Phased Arrays Through Diamond Tiles. - Mohamed Chaabane, Peter Zhang, J. Ross Beveridge, Stephen O'Hara:
DEFT: Detection Embeddings for Tracking. - Mazen Alamir:
A Heuristic for Dynamic Output Predictive Control Design for Uncertain Nonlinear Systems. - Stefan H. Reiterer:
Numerical Differentiation using local Chebyshev-Approximation. - Prashanth Gurunath Shivakumar, Panayiotis G. Georgiou, Shrikanth Narayanan:
Confusion2vec 2.0: Enriching Ambiguous Spoken Language Representations with Subwords. - Pol Moreno, Edward Hughes, Kevin R. McKee, Bernardo Ávila Pires, Théophane Weber:
Neural Recursive Belief States in Multi-Agent Reinforcement Learning. - Yu Tao, Kush R. Varshney:
Insiders and Outsiders in Research on Machine Learning and Society. - Bruno Di Giorgi, Matthias Mauch, Mark Levy:
Downbeat Tracking with Tempo-Invariant Convolutional Neural Networks. - Muhammad Haseeb, Fahad Saeed:
HiCOPS: High Performance Computing Framework for Tera-Scale Database Search of Mass Spectrometry based Omics Data. - Fatemeh Taheri Dezaki, Christina Luong, Tom Ginsberg, Robert Rohling, Ken Gin, Purang Abolmaesumi, Teresa Tsang:
Echo-SyncNet: Self-supervised Cardiac View Synchronization in Echocardiography. - Marco Loog:
Nearest Neighbor-based Importance Weighting. - Léa Ricard, Guy Desaulniers, Andrea Lodi, Louis-Martin Rousseau:
Predicting the probability distribution of bus travel time to move towards reliable planning of public transport services. - Jérémy Anger, Thibaud Ehret, Gabriele Facciolo:
Parallax estimation for push-frame satellite imagery: application to super-resolution and 3D surface modeling from Skysat products. - Barbara Rychalska, Piotr Babel, Konrad Goluchowski, Andrzej Michalowski, Jacek Dabrowski:
Cleora: A Simple, Strong and Scalable Graph Embedding Scheme. - Panayiotis Danassis, Zeki Doruk Erden, Boi Faltings:
Improved Cooperation by Exploiting a Common Signal. - Peiran Yao, Denilson Barbosa:
Typing Errors in Factual Knowledge Graphs: Severity and Possible Ways Out. - Timothy Trippel, Kang G. Shin, Alex Chernyakhovsky, Garret Kelly, Dominic Rizzo, Matthew Hicks:
Fuzzing Hardware Like Software. - Sander Beckers:
Causal Sufficiency and Actual Causation. - Sam Garlick, Andrew Bradley:
Real-Time Optimal Trajectory Planning for Autonomous Vehicles and Lap Time Simulation Using Machine Learning. - Cristiano Bonato Both, João G. G. Borges, Luan Gonçalves, Cleverson Veloso Nahum, Ciro J. A. Macedo, Aldebaro Klautau, Kleber Vieira Cardoso:
System Intelligence for UAV-Based Mission Critical with Challenging 5G/B5G Connectivity. - Zaid Khan, Yun Fu:
One Label, One Billion Faces: Usage and Consistency of Racial Categories in Computer Vision. - Xue Chen, Michal Derezinski:
Query Complexity of Least Absolute Deviation Regression via Robust Uniform Convergence. - James Mou, Jun Li:
Effects of Number of Filters of Convolutional Layers on Speech Recognition Model Accuracy. - Margrét V. Bjarnadóttir, Louiqa Raschid:
Modeling Complex Financial Products. - Anshul Jindal, Michael Gerndt, Mohak Chadha, Vladimir Podolskiy, Pengfei Chen:
Function Delivery Network: Extending Serverless Computing for Heterogeneous Platforms. - Jon McCormack, Camilo Cruz Gambardella, Andy Lomas:
The Enigma of Complexity. - Archita Pathak, Mohammad Abuzar Shaikh, Rohini K. Srihari:
Self-Supervised Claim Identification for Automated Fact Checking. - Daniel Hsu, Clayton Sanford, Rocco A. Servedio, Emmanouil V. Vlatakis-Gkaragkounis:
On the Approximation Power of Two-Layer Networks of Random ReLUs. - Santhosh K. Ramakrishnan, Tushar Nagarajan, Ziad Al-Halah, Kristen Grauman:
Environment Predictive Coding for Embodied Agents. - Gabriel Martine-La Boissoniere, Rustum Choksi, Jean-Philippe Lessard:
Microscopic Patterns in the 2D Phase-Field-Crystal Model. - Zhen Xu, David R. So, Andrew M. Dai:
MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records. - Shang Wang, Peiming Yang, Yuxuan Zheng, Xin Li, Gennady Pekhimenko:
Horizontally Fused Training Array: An Effective Hardware Utilization Squeezer for Training Novel Deep Learning Models. - Jayam Patel, Prajankya Sonar, Carlo Pinciroli:
On Multi-Human Multi-Robot Remote Interaction: A Study of Transparency, Inter-Human Communication, and Information Loss in Remote Interaction. - Ke Wu, Aaron B. Wagner:
A Practical Coding Scheme for the BSC with Feedback. - Dan R. Ghica:
Operational Semantics with Hierarchical Abstract Syntax Graphs. 1-10 - Nicolas Behr:
On Stochastic Rewriting and Combinatorics via Rule-Algebraic Methods. 11-28 - Jonas Kiessling, Emanuel Ström, Raúl Tempone:
Wind Field Reconstruction with Adaptive Random Fourier Features. - Thierry Boy de la Tour:
Parallel Independence in Attributed Graph Rewriting. 62-77 - S. L. Heenatigala, Sunethra Weerakoon, T. G. I. Fernando:
Finite Difference Weerakoon-Fernando Method to solve nonlinear equations without using derivatives. - Thales Silva, Carmina Porto, Erickson H. da S. Alves, Lucas C. Cordeiro, Herbert Rocha:
Verifying Security Vulnerabilities in Large Software Systems using Multi-Core k-Induction. - Jiangke Lin, Yi Yuan, Zhengxia Zou:
MeInGame: Create a Game Character Face from a Single Portrait. - Ai Linh Nguyen, Wenyuan Liu, Siew Ann Cheong:
Coevolution of theoretical and applied research: a case study of graphene research by temporal and geographic analysis. - Priyank Jaini, Didrik Nielsen, Max Welling:
Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC. - Chengmin Zhou, Bingding Huang, Pasi Fränti:
A review of motion planning algorithms for intelligent robotics. - Jean-Pierre Barriot, Neil Davies, Benoît Stoll, Sébastien Chabrier, Alban Gabillon:
A Possible Artificial Intelligence Ecosystem Avatar: the Moorea case (IDEA). - Shuai Ma, Michèle A. Wigger:
First- and Second-Moment Constrained Gaussian Channels. - Ivica Nikolic, Radu Mantu, Shiqi Shen, Prateek Saxena:
Refined Grey-Box Fuzzing with SIVO. - Nan Zhou, Lingen Luo, Gehao Sheng, Xiuchen Jiang:
Event Occurrence Model for Power Distribution System Based on Data Eigenvalue Behavior Analytic. - Xuefeng Li, Tongliang Liu, Bo Han, Gang Niu, Masashi Sugiyama:
Provably End-to-end Label-Noise Learning without Anchor Points. - Zhuosheng Zhang, Jiarui Li, Shucheng Yu, Christian Makaya:
SAFELearning: Enable Backdoor Detectability In Federated Learning With Secure Aggregation. - Mo Zhou, Rong Ge, Chi Jin:
A Local Convergence Theory for Mildly Over-Parameterized Two-Layer Neural Network. - Abbas Khalili, Shahram Shahsavari, Mohammad Ali Amir Khojastepour, Elza Erkip:
On Single-User Interactive Beam Alignment in Millimeter Wave Systems: Impact of Feedback Delay. - Kai Yuan Tay, Lynnette Hui Xian Ng, Wei Han Chua, Lucerne Loke, Danqi Ye, Melissa Wan Jun Chua:
Audio Adversarial Examples: Attacks Using Vocal Masks. - Ben J. Gross, Paul Kuberry, Paul J. Atzberger:
First-Passage Time Statistics on Surfaces of General Shape: Surface PDE Solvers using Generalized Moving Least Squares (GMLS). - Zhiheng Xu, Arvind Easwaran:
A Game-Theoretic Approach to Secure Estimation and Control for Cyber-Physical Systems with a Digital Twin. - Dong Wang, Xiaodong Wang, Fanggang Wang:
Reconfigurable-intelligent-surface-assisted Downlink Transmission Design via Bayesian Optimization. - Mojtaba Abolfazli, Anders Høst-Madsen, June Zhang, Andras Bratincsak:
Graph Coding for Model Selection and Anomaly Detection in Gaussian Graphical Models. - Libo Feng, Ian W. Turner, Patrick Perré, Kevin Burrage:
The use of a time-fractional transport model for performing computational homogenisation of 2D heterogeneous media exhibiting memory effects. - Bhavtosh Rath, Wei Gao, Jaideep Srivastava:
Assessing Individual and Community Vulnerability to Fake News in Social Networks. - Han Liu, Caixia Yuan, Xiaojie Wang, Yushu Yang, Huixing Jiang, Zhongyuan Wang:
Converse, Focus and Guess - Towards Multi-Document Driven Dialogue. - Ting-Yi Wu, Yunghsiang S. Han, Zhengrui Li, Bo Bai, Gong Zhang, Liang Chen, Xiang Wu:
Lower Bound on the Optimal Access Bandwidth of (K+2, K, 2)-MDS Array Code with Degraded Read Friendly. - Weina Jin, Jianyu Fan, Diane Gromala, Philippe Pasquier, Ghassan Hamarneh:
EUCA: A Practical Prototyping Framework towards End-User-Centered Explainable Artificial Intelligence. - Zahi M. Kakish, Sritanay Vedartham, Spring Berman:
Towards Decentralized Human-Swarm Interaction by Means of Sequential Hand Gesture Recognition. - Yesdaulet Izenov, Asoke Datta, Florin Rusu, Jun Hyung Shin:
Online Sketch-based Query Optimization. - Adam Bignold, Francisco Cruz, Richard Dazeley, Peter Vamplew, Cameron Foale:
Persistent Rule-based Interactive Reinforcement Learning. - Der-Chen Chang, Ophir Frieder, Chi-Feng Hung, Hao-Ren Yao:
The Analysis from Nonlinear Distance Metric to Kernel-based Drug Prescription Prediction System. - Krishna Chaitanya Kosaraju, Seetharaman Sivaranjani, Vijay Gupta:
Safety during Transient Response in Direct Current Microgrids using Control Barrier Functions. - Mingqi Yuan, Man-On Pun, Yi Chen, Qi Cao:
Hybrid Adversarial Inverse Reinforcement Learning. - Kris Shrishak, Haya Schulmann:
Privacy Preserving and Resilient RPKI. - Christian Rathgeb, Johannes Merkle, Johanna Scholz, Benjamin Tams, Vanessa Nesterowicz:
Deep Face Fuzzy Vault: Implementation and Performance. - Lizhi Sun, Shuocheng Wang, Hao Wu, Yuhang Gong, Fengyuan Xu, Yunxin Liu, Hao Han, Sheng Zhong:
App Developer Centric Trusted Execution Environment. - Olivier Rioul, Wei Cheng, Sylvain Guilley:
Cumulant Expansion of Mutual Information for Quantifying Leakage of a Protected Secret. - Mahshad Lotfinia, Soroosh Tayebi Arasteh:
Machine Learning-Based Generalized Model for Finite Element Analysis of Roll Deflection During the Austenitic Stainless Steel 316L Strip Rolling. - Hyejin Park, Seiyun Shin, Kwang-Sung Jun, Jungseul Ok:
Transfer Learning in Bandits with Latent Continuity. - Gonzalo Galiano:
Error analysis of some nonlocal diffusion discretization schemes. - Md. Faisal Ahmed, Zalish Mahmud, Zarin Tasnim Biash, Ahmed Ann Noor Ryen, Arman Hossain, Faisal Bin Ashraf:
Bangla Text Dataset and Exploratory Analysis for Online Harassment Detection. - Júlio Araújo, Marin Bougeret, Victor A. Campos, Ignasi Sau:
Introducing lop-kernels: a framework for kernelization lower bounds. - Shady Abu-Hussein, Tom Tirer, Se Young Chun, Yonina C. Eldar, Raja Giryes:
Image Restoration by Deep Projected GSURE. - Hongyinping Feng, Pei-Hua Lang, Jiankang Liu:
Boundary Stabilization and Observation of an Unstable Heat Equation in a General Multi-dimensional Domain. - Thomas Power, Dmitry Berenson:
Keep it Simple: Data-efficient Learning for Controlling Complex Systems with Simple Models. - Sebastian Bullinger, Christoph Bodensteiner, Michael Arens:
3D Surface Reconstruction From Multi-Date Satellite Images. - Alex Tamkin, Miles Brundage, Jack Clark, Deep Ganguli:
Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models. - Philip Bille, Inge Li Gørtz, Max Rishøj Pedersen, Teresa Anna Steiner:
Gapped Indexing for Consecutive Occurrences. - Héléna Schourick, Damien Tromeur-Dervout, Laurent Chedot:
Aitken-Schwarz heterogeneous Domain Decomposition for EMT-TS Simulation. - Robin R. Murphy, Vignesh Babu Manjunath Gandudi, Trisha Amin, Angela Clendenin, Jason Moats:
An Analysis of International Use of Robots for COVID-19. - Lasse Einfeldt, Auriol Degbelo:
User Interface Factors of Mobile UX: A Study with an Incident Reporting Application. - Matteo Allaix, Lukas Holzbaur, Tefjol Pllaha, Camilla Hollanti:
High-Rate Quantum Private Information Retrieval with Weakly Self-Dual Star Product Codes. - Felix Sattler, Tim Korjakow, Roman Rischke, Wojciech Samek:
FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning. - Yuanyuan Chen, Boyang Li, Han Yu, Pengcheng Wu, Chunyan Miao:
HYDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks. - Hamidreza Bakhshzad Mahmoodi, Mohammad Javad Salehi, Antti Tölli:
Non-Symmetric Coded Caching for Location-Dependent Content Delivery. - Petar Bevanda, Stefan Sosnowski, Sandra Hirche:
Koopman Operator Dynamical Models: Learning, Analysis and Control. - Pranab Jyoti Deka, Lukas Einkemmer:
Efficient adaptive step size control for exponential integrators. - Kai Liang, Youlong Wu:
Improved Communication Efficiency for Distributed Mean Estimation with Side Information. - Andrea Fioraldi, Luigi Paolo Pileggi:
FuzzSplore: Visualizing Feedback-Driven Fuzzing Techniques. - Saad Kriouile, Mohamad Assaad, Ali Maatouk:
On the Global Optimality of Whittle's index policy for minimizing the age of information. - Rui Li, Chenxi Duan:
ABCNet: Attentive Bilateral Contextual Network for Efficient Semantic Segmentation of Fine-Resolution Remote Sensing Images. - Vittorio Lippi:
Deep Learning Based Model Identification System Exploits the Modular Structure of a Bio-Inspired Posture Control Model for Humans and Humanoids. - Ada J. Ellingsrud, Nicolas Boullé, Patrick E. Farrell, Marie E. Rognes:
Accurate numerical simulation of electrodiffusion and water movement in brain tissue. - Karl-Ludwig Besser, Pin-Hsun Lin, Eduard A. Jorswieck:
On Fading Channel Dependency Structures with a Positive Zero-Outage Capacity. - Vittorio Lippi, Christoph Maurer, Thomas Mergner:
The Importance of Models in Data Analysis with Small Human Movement Datasets - Inspirations from Neurorobotics Applied to Posture Control of Humanoids and Humans. - Magali Bardet, Rocco Mora, Jean-Pierre Tillich:
Decoding Reed-Solomon codes by solving a bilinear system with a Gröbner basis approach. - Hai Xuan Pham, Ricardo Guerrero, Jiatong Li, Vladimir Pavlovic:
CHEF: Cross-modal Hierarchical Embeddings for Food Domain Retrieval. - Gongshan He, Dongxing Zhao, Lixin Ding:
Dual-embedding based Neural Collaborative Filtering for Recommender Systems. - Yugeng Liu, Rui Wen, Xinlei He, Ahmed Salem, Zhikun Zhang, Michael Backes, Emiliano De Cristofaro, Mario Fritz, Yang Zhang:
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models. - Thomas Jerkovits, Vladimir Sidorenko, Antonia Wachter-Zeh:
Decoding of Space-Symmetric Rank Errors. - Dani Yogatama, Cyprien de Masson d'Autume, Lingpeng Kong:
Adaptive Semiparametric Language Models. - Eneko Osaba, Aritz D. Martinez, Javier Del Ser:
Evolutionary Multitask Optimization: a Methodological Overview, Challenges and Future Research Directions. - Weikun Chen, Ya-Feng Liu, Yu-Hong Dai, Zhi-Quan Luo:
An efficient linear programming rounding-and-refinement algorithm for large-scale network slicing problem. - James Hargreaves, Andreas Vlachos, Guy Emerson:
Incremental Beam Manipulation for Natural Language Generation. - Tom Hanika, Johannes Hirth:
Exploring Scale-Measures of Data Sets. - Kazuya Horibe, Kathryn Walker, Sebastian Risi:
Regenerating Soft Robots through Neural Cellular Automata. - Manuel Arenaz, Xavier Martorell:
Parallelware Tools: An Experimental Evaluation on POWER Systems. - Muneeb Ul Hassan, Mubashir Husain Rehmani, Jinjun Chen:
Optimizing Blockchain Based Smart Grid Auctions: A Green Revolution. - Davoud Mougouei, Aditya K. Ghose, Hoa Khanh Dam, David M. W. Powers:
Human Values in Software Release Planning. - Vít Novotný, Eniafe Festus Ayetiran, Dávid Lupták, Michal Stefánik, Petr Sojka:
One Size Does Not Fit All: Finding the Optimal N-gram Sizes for FastText Models across Languages. - Bhagya Hettige, Weiqing Wang, Yuan-Fang Li, Suong Le, Wray L. Buntine:
Temporal Cascade and Structural Modelling of EHRs for Granular Readmission Prediction. - Jingzhao Hu, Xiaoqi Zhang, Qiaomei Jia, Chen Wang, Qirong Bu, Jun Feng:
Lookup subnet based Spatial Graph Convolutional neural Network. - Lorenzo Pareschi, Torsten Trimborn, Mattia Zanella:
Mean-field control variate methods for kinetic equations with uncertainties and applications to socio-economic sciences. - Andre Esser, Robert Kübler, Floyd Zweydinger:
A Faster Algorithm for Finding Closest Pairs in Hamming Metric. - Anne Baanen, Sander R. Dahmen, Ashvni Narayanan, Filippo A. E. Nuccio:
A formalization of Dedekind domains and class groups of global fields. - Neo C. K. Yiu:
An Empirical Analysis of Implementing Enterprise Blockchain Protocols in Supply Chain Anti-Counterfeiting and Traceability. - Lin Liu, Shuo Feng, Yiheng Feng, Xichan Zhu, Henry X. Liu:
A Learning-based Stochastic Driving Model for Autonomous Vehicle Testing. - Mira Gonen, Michael Langberg, Alex Sprintson:
Minimizing the alphabet size in codes with restricted error sets. - Lars Lindemann, Dimos V. Dimarogonas:
Barrier Function-based Collaborative Control of Multiple Robots under Signal Temporal Logic Tasks. - Alina Filimonov, Reshef Meir:
Strategyproof Facility Location Mechanisms on Discrete Trees. - David W. Romero, Anna Kuzina, Erik J. Bekkers, Jakub M. Tomczak, Mark Hoogendoorn:
CKConv: Continuous Kernel Convolution For Sequential Data. - Hongwei Guo, Xiaoying Zhuang, Timon Rabczuk:
A Deep Collocation Method for the Bending Analysis of Kirchhoff Plate. - Oliver Urs Lenz, Daniel Peralta, Chris Cornelis:
Optimised one-class classification performance. - Junjie Yin, Jianhua Wang, Jun You:
Electricity-gas integrated energy system optimal operation in typical scenario of coal district considering hydrogen heavy trucks. - Suat Mercan, Ahmet Kurt, Enes Erdin, Kemal Akkaya:
Cryptocurrency Solutions to Enable Micro-payments in Consumer IoT. - Giorgio Camerani:
The #ETH is False, #k-SAT is in Sub-Exponential Time. - Robin Bloomfield, Gareth Fletcher, Heidy Khlaaf, Luke Hinde, Philippa Ryan:
Safety Case Templates for Autonomous Systems. - Luís Cruz-Filipe, Fabrizio Montesi, Marco Peressotti:
Formalising a Turing-Complete Choreographic Language in Coq. - Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon:
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency. - Mikail Yayla, Mario Günzel, Burim Ramosaj, Jian-Jia Chen:
Universal Approximation Theorems of Fully Connected Binarized Neural Networks. - Hendri Murfi, Natasha Rosaline, Nora Hariadi:
Deep Autoencoder-based Fuzzy C-Means for Topic Detection. - Swarajya Lakshmi V. Papineni, Snigdha Yarlagadda, Harita Akkineni, A. Mallikarjuna Reddy:
Big Data Analytics Applying the Fusion Approach of Multicriteria Decision Making with Deep Learning Algorithms. - Letian Zhang, Lixing Chen, Jie Xu:
Autodidactic Neurosurgeon: Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning. - Matthew E. Taylor, Nicholas Nissen, Yuan Wang, Neda Navidi:
Improving Reinforcement Learning with Human Assistance: An Argument for Human Subject Studies with HIPPO Gym. - Gang Min, Xiongwei Zhang, Xia Zou, Xiangyang Liu:
Low Bit-Rate Wideband Speech Coding: A Deep Generative Model based Approach. - Christopher A. Metz, Mehran Goli, Rolf Drechsler:
Pick the Right Edge Device: Towards Power and Performance Estimation of CUDA-based CNNs on GPGPUs. - Maximilian Felde, Gerd Stumme:
Triadic Exploration and Exploration with Multiple Experts. - Enes Erdin, Suat Mercan, Kemal Akkaya:
An Evaluation of Cryptocurrency Payment Channel Networks and Their Privacy Implications. - César Quilodrán Casas, Vinicius L. S. Silva, Rossella Arcucci, Claire E. Heaney, Yike Guo, Christopher C. Pain:
Digital twins based on bidirectional LSTM and GAN for modelling COVID-19. - Christian Schorr:
Hybrid consistency and plausibility verification of product data according to FIC. - Michael Shub, Qing Xu, Xiaohua Xuan:
Disease Prediction with a Maximum Entropy Method. - Huiyuan Deng, Xiangzhu Meng, Lin Feng:
Multimodal-Aware Weakly Supervised Metric Learning with Self-weighting Triplet Loss. - Ronal Rajneshwar Singh, Paul Dourish, Piers Howe, Tim Miller, Liz Sonenberg, Eduardo Velloso, Frank Vetere:
Directive Explanations for Actionable Explainability in Machine Learning Applications. - Deepa Jagyasi, Marceau Coupechoux:
DNN Based Beam Selection in mmW Heterogeneous Networks. - Maël Le Treust, Tobias J. Oechtering:
Continuous Random Variable Estimation is not Optimal for the Witsenhausen Counterexample. - Manon Kok, Karsten Eckhoff, Ive Weygers, Thomas Seel:
Observability of the relative motion from inertial data in kinematic chains. - Thomas Hickman, Christian Pardillo Laursen, Simon Foster:
Certifying Differential Equation Solutions from Computer Algebra Systems in Isabelle/HOL. - Nguyen Vo, Kyumin Lee:
Hierarchical Multi-head Attentive Network for Evidence-aware Fake News Detection. - Dominik Dürrschnabel, Gerd Stumme:
Force-Directed Layout of Order Diagrams using Dimensional Reduction. - Chi Wang, Yunke Zhang, Miaomiao Cui, Jinlin Liu, Peiran Ren, Yin Yang, Xuansong Xie, XianSheng Hua, Hujun Bao, Weiwei Xu:
Active Boundary Loss for Semantic Segmentation. - Ali Khademi, Leszek Marcinkowski, Sanjib Kumar Acharya, Talal Rahman:
Additive Average Schwarz Method for Elliptic Mortar Finite Element Problems with Highly Heterogeneous Coefficients. - Rajesh Bordawekar, Bülent Abali, Ming-Hung Chen:
EFloat: Entropy-coded Floating Point Format for Deep Learning. - Grigorios G. Anagnostopoulos, Alexandros Kalousis:
ProxyFAUG: Proximity-based Fingerprint Augmentation. - Yeganeh Alimohammadi, Nima Anari, Kirankumar Shiragur, Thuy-Duong Vuong:
Fractionally Log-Concave and Sector-Stable Polynomials: Counting Planar Matchings and More. - Yiming Lin, Jie Shen, Yujiang Wang, Maja Pantic:
RoI Tanh-polar Transformer Network for Face Parsing in the Wild. - Jalal Sakhdari, Shaghayegh Izadpanah, Behrooz Zolfaghari, Samaneh H.-Mahdizadeh-Zargar, Mahla Rahati-Quchani, Mahsa Shadi, Saeid Abrishami, Abbas Rasoolzadegan:
Edge Computing: A Systematic Mapping Study. - Ratish Puduppully, Mirella Lapata:
Data-to-text Generation with Macro Planning. - Lorenz Welter, Rawad Bitar, Antonia Wachter-Zeh, Eitan Yaakobi:
Multiple Criss-Cross Deletion-Correcting Codes. - Francesco Zardi, Giacomo Oliveri, Marco Salucci, Andrea Massa:
Minimum-Complexity Failure Correction in Linear Arrays via Compressive Processing. - Dongrui Wu, Weili Fang, Yi Zhang, Liuqing Yang, Xiaodong Xu, Hanbin Luo, Xiang Yu:
Adversarial Attacks and Defenses in Physiological Computing: A Systematic Review. - Song Fang, Quanyan Zhu:
Feedback Capacity of Parallel ACGN Channels and Kalman Filter: Power Allocation with Feedback. - David G. Stork, Anthony Bourached, George H. Cann, Ryan-Rhys Griffiths:
Computational identification of significant actors in paintings through symbols and attributes. - Hongteng Xu, Dixin Luo, Hongyuan Zha:
Hawkes Processes on Graphons. - Friederike Groschupp, Moritz Schneider, Ivan Puddu, Shweta Shinde, Srdjan Capkun:
Sovereign Smartphone: To Enjoy Freedom We Have to Control Our Phones. - Ankit Singh, Omprakash Chakraborty, Ashutosh Varshney, Rameswar Panda, Rogério Feris, Kate Saenko, Abir Das:
Semi-Supervised Action Recognition with Temporal Contrastive Learning. - Efthymia Tsamoura, David Carral, Enrico Malizia, Jacopo Urbani:
Materializing Knowledge Bases via Trigger Graphs. - Yuval Alaluf, Or Patashnik, Daniel Cohen-Or:
Only a Matter of Style: Age Transformation Using a Style-Based Regression Model. - Ariana Talamantes, Edgar Chávez:
Instance-based learning using the Half-Space Proximal Graph. - Jiacheng Zhuo, Jeongyeol Kwon, Nhat Ho, Constantine Caramanis:
On the computational and statistical complexity of over-parameterized matrix sensing. - (Withdrawn) Online Discrepancy Minimization via Persistent Self-Balancing Walks.
- Omer Tov, Yuval Alaluf, Yotam Nitzan, Or Patashnik, Daniel Cohen-Or:
Designing an Encoder for StyleGAN Image Manipulation. - Lukas Bernreiter, Lionel Ott, Juan I. Nieto, Roland Siegwart, Cesar Cadena:
PHASER: a Robust and Correspondence-free Global Pointcloud Registration. - Jun Wang, Xiaohan Yu, Yongsheng Gao:
Mask guided attention for fine-grained patchy image classification. - Ralph L. Childress:
Recursive Prime Factorizations: Dyck Words as Numbers. - Jaemin Cho, Jie Lei, Hao Tan, Mohit Bansal:
Unifying Vision-and-Language Tasks via Text Generation. - Filippo Gabriele Pratticò, Fabrizio Lamberti, Alberto Cannavò, Lia Morra, Paolo Montuschi:
Comparing State-of-the-Art and Emerging Augmented Reality Interfaces for Autonomous Vehicle-to-Pedestrian Communication. - Sirin Botan, Ronald de Haan, Marija Slavkovik, Zoi Terzopoulou:
Egalitarian Judgment Aggregation. - Vivien Cabannes, Francis R. Bach, Alessandro Rudi:
Disambiguation of weak supervision with exponential convergence rates. - Jörn Hees, Dayananda Herurkar, Mario Meier:
RECol: Reconstruction Error Columns for Outlier Detection. - Pradyumna Reddy, Michaël Gharbi, Michal Lukác, Niloy J. Mitra:
Im2Vec: Synthesizing Vector Graphics without Vector Supervision. - Mahdi Boloursaz Mashhadi, Mikolaj Jankowski, Tze-Yang Tung, Szymon Kobus, Deniz Gündüz:
Federated mmWave Beam Selection Utilizing LIDAR Data. - Ilke Çugu, Emre Akbas:
A Deeper Look into Convolutions via Pruning. - Ekdeep Singh Lubana, Puja Trivedi, Robert P. Dick:
Rethinking Quadratic Regularizers: Explicit Movement Regularization for Continual Learning. - Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
Multi-Stage Progressive Image Restoration. - Clément Rebuffel, Marco Roberti, Laure Soulier, Geoffrey Scoutheeten, Rossella Cancelliere, Patrick Gallinari:
Controlling Hallucinations at Word Level in Data-to-Text Generation. - Zhiqiang Tang, Yunhe Gao, Yi Zhu, Zhi Zhang, Mu Li, Dimitris N. Metaxas:
SelfNorm and CrossNorm for Out-of-Distribution Robustness. - Jason D. McEwen, Christopher G. R. Wallis, Augustine N. Mavor-Parker:
Scattering Networks on the Sphere for Scalable and Rotationally Equivariant Spherical CNNs. - Hedongliang Liu, Sabine Pircher, Alexander Zeh, Antonia Wachter-Zeh:
Decoding of (Interleaved) Generalized Goppa Codes. - Minhui Huang:
Escaping Saddle Points for Nonsmooth Weakly Convex Functions via Perturbed Proximal Algorithms. - Stephanie Hirmer, Alycia Leonard, Josephine Tumwesige, Costanza Conforti:
Building Representative Corpora from Illiterate Communities: A Review of Challenges and Mitigation Strategies for Developing Countries. - Ajitesh Srivastava, Tianjian Xu, Viktor K. Prasanna:
The EpiBench Platform to Propel AI/ML-based Epidemic Forecasting: A Prototype Demonstration Reaching Human Expert-level Performance. - Jacob John:
Designing a Binary Clock using logic gates. - Ahmed M. Bedewy, Yin Sun, Rahul Singh, Ness B. Shroff:
Low-Power Status Updates via Sleep-Wake Scheduling. - Dimitris Stripelis, José Luis Ambite:
Semi-Synchronous Federated Learning. - Sonia Sehra, David Flores, George D. Montañez:
Undecidability of Underfitting in Learning Algorithms. - Fayika Farhat Nova, Michael Ann DeVito, Pratyasha Saha, Kazi Shohanur Rashid, Shashwata Roy Turzo, Sadia Afrin, Shion Guha:
"Facebook Promotes More Harassment": Social Media Ecosystem, Skill and Marginalized Hijra Identity in Bangladesh. - Srikrishna Jaganathan, Jian Wang, Anja Borsdorf, Andreas Maier:
Learning the Update Operator for 2D/3D Image Registration. - Jing Gu, Mostafa Mirshekari, Zhou Yu, Aaron Sisto:
ChainCQG: Flow-Aware Conversational Question Generation. - Nastaran Abadi Khooshemehr, Mohammad Ali Maddah-Ali:
The Discrepancy Attack on Polyshard-ed Blockchains. - Jonathan C. Spencer, Sanjiban Choudhury, Arun Venkatraman, Brian D. Ziebart, J. Andrew Bagnell:
Feedback in Imitation Learning: The Three Regimes of Covariate Shift. - Shahbaz Khan:
Optimal Construction of Hierarchical Overlap Graphs. - (Withdrawn) Challenges in biomarker discovery and biorepository for Gulf-war-disease studies: a novel data platform solution.
- Stefan Lauren, Francesco Belardinelli, Francesca Toni:
Aggregating Bipolar Opinions (With Appendix). - Daniel Lenton, Fabio Pardo, Fabian Falck, Stephen James, Ronald Clark:
Ivy: Templated Deep Learning for Inter-Framework Portability. - Shiwei Liu, Lu Yin, Decebal Constantin Mocanu, Mykola Pechenizkiy:
Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training. - Hanlin Tang, Shaoduo Gan, Ammar Ahmad Awan, Samyam Rajbhandari, Conglong Li, Xiangru Lian, Ji Liu, Ce Zhang, Yuxiong He:
1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed. - Jirí Balun, Tomás Masopust:
Comparing the Notions of Opacity for Discete-Event Systems. - Manzhu Yu, Fangcao Xu, Weiming Hu, Jian Sun, Guido Cervone:
Using Long Short-Term Memory (LSTM) and Internet of Things (IoT) for localized surface temperature forecasting in an urban environment. - Roy D. Yates:
The Age of Gossip in Networks. - Joseph N. Stember, Hrithwik Shalu:
Deep reinforcement learning-based image classification achieves perfect testing set accuracy for MRI brain tumors with a training set of only 30 images. - Gedeon Muhawenayo, Georgia Gkioxari:
Compressed Object Detection. - Akila de Silva, Issei Mori, Gregory Dusek, James Davis, Alex Pang:
Automated Rip Current Detection with Region based Convolutional Neural Networks. - Bilal Thonnam Thodi, Zaid Saeed Khan, Saif Eddin Jabari, Mónica Menéndez:
Incorporating Kinematic Wave Theory into a Deep Learning Method for High-Resolution Traffic Speed Estimation. - Yadong Lu, Yinhao Zhu, Yang Yang, Amir Said, Taco S. Cohen:
Progressive Neural Image Compression with Nested Quantization and Latent Ordering. - Naren Srivaths Raman, Rahul Umashankar Chaturvedi, Zhong Guo, Prabir Barooah:
MPC-Based Hierarchical Control of a Multi-Zone Commercial HVAC System. - Julian Ibarz, Jie Tan, Chelsea Finn, Mrinal Kalakrishnan, Peter Pastor, Sergey Levine:
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned. - Allison Lahnala, Gauri Kambhatla, Jiajun Peng, Matthew Whitehead, Gillian Minnehan, Eric Guldan, Jonathan K. Kummerfeld, Anil Çamci, Rada Mihalcea:
Chord Embeddings: Analyzing What They Capture and Their Role for Next Chord Prediction and Artist Attribute Prediction. - Sam Barr, Therese Biedl:
All Subgraphs of a Wheel are 5-Coupled-Choosable. - Tianqi Li, Lucas W. Krakow, Swaminathan Gopalswamy:
Optimizing Consensus-based Multi-target Tracking with Multiagent Rollout Control Policies. - Osman Din:
Towards a Flexible System Architecture for Automated Knowledge Base Construction Frameworks. - Junfeng Guo, Yaswanth Yadlapalli, Lothar Thiele, Ang Li, Cong Liu:
PredCoin: Defense against Query-based Hard-label Attack. - Milan Basic, Branko Arsic, Zoran Obradovic:
Another estimation of Laplacian spectrum of the Kronecker product of graphs. - A. B. Siddique, Fuad T. Jamour, Luxun Xu, Vagelis Hristidis:
Generalized Zero-shot Intent Detection via Commonsense Knowledge. - Jane X. Wang, Michael King, Nicolas Porcel, Zeb Kurth-Nelson, Tina Zhu, Charlie Deck, Peter Choy, Mary Cassin, Malcolm Reynolds, H. Francis Song, Gavin Buttimore, David P. Reichert, Neil C. Rabinowitz, Loic Matthey, Demis Hassabis, Alexander Lerchner, Matthew M. Botvinick:
Alchemy: A structured task distribution for meta-reinforcement learning. - Veljko Dubljevic, George F. List, Jovan Milojevich, Nirav Ajmeri, William A. Bauer, Munindar P. Singh, Eleni Bardaka, Thomas Birkland, Charles Edwards, Roger Mayer, Ioan Muntean, Thomas Powers, Hesham Rakha, Vance Ricks, M. Shoaib Samandar:
Toward a Rational and Ethical Sociotechnical System of Autonomous Vehicles: A Novel Application of Multi-Criteria Decision Analysis. - Haris Aziz, Anton Baychkov, Péter Biró:
Cutoff stability under distributional constraints with an application to summer internship matching. - Kátia Romero Felizardo, Mehwish Riaz, Muhammad Sulayman, Emilia Mendes, Stephen G. MacDonell, José Carlos Maldonado:
Analysing the use of graphs to represent the results of Systematic Reviews in Software Engineering. - Peter A. Whigham, Caitlin A. Owen, Stephen G. MacDonell:
A Baseline Model for Software Effort Estimation. - Kátia Romero Felizardo, Norsaremah Salleh, Rafael Messias Martins, Emilia Mendes, Stephen G. MacDonell, José Carlos Maldonado:
Using Visual Text Mining to Support the Study Selection Activity in Systematic Literature Reviews. - Emad Gad:
Characterizing Order of Convergence in the Obreshkov Method in Differential-Algebraic Equations. - Stephen G. MacDonell:
The Impact of Sampling and Rule Set Size on Generated Fuzzy Inference System Predictive Accuracy: Analysis of a Software Engineering Data Set. - Hyungho Chris Choi, Inhwan Wee, Micah Corah, Sahand Sabet, Taeyeon Kim, Thomas Touma, David Hyunchul Shim, Ali-akbar Agha-mohammadi:
BAXTER: Bi-modal Aerial-Terrestrial Hybrid Vehicle for Long-endurance Versatile Mobility: Preprint Version. - Chunmei Xu, Shengheng Liu, Zhaohui Yang, Yongming Huang, Dusit Niyato, Kai-Kit Wong:
Learning Rate Optimization for Federated Learning Exploiting Over-the-air Computation. - Tao Yu, Wenqi Li, Yi Yu, Rodrigo C. de Lamare:
Robust Adaptive Filtering Based on Exponential Functional Link Network. - Yue Yu, Shahriar Talebi, Henk J. van Waarde, Ufuk Topcu, Mehran Mesbahi, Behçet Açikmese:
On Controllability and Persistency of Excitation in Data-Driven Control: Extensions of Willems' Fundamental Lemma. - Rei Miyata, Atsushi Fujita:
Understanding Pre-Editing for Black-Box Neural Machine Translation. - Chong Xiang, Prateek Mittal:
DetectorGuard: Provably Securing Object Detectors against Localized Patch Hiding Attacks. - Vincent M. D'Anniballe, Fakrul Islam Tushar, Khrystyna Faryna, Songyue Han, Maciej A. Mazurowski, Geoffrey D. Rubin, Joseph Y. Lo:
Multi-Label Annotation of Chest Abdomen Pelvis Computed Tomography Text Reports Using Deep Learning. - Jia-Li Zhang, Zhi-Wei Fang, Hai-Wei Sun:
Fast second-order evaluation for variable-order Caputo fractional derivative with applications to fractional sub-diffusion equations. - Hong Chen, Yifei Huang, Hiroya Takamura, Hideki Nakayama:
Commonsense Knowledge Aware Concept Selection For Diverse and Informative Visual Storytelling. - Motohiro Sunouchi, Masaharu Yoshioka:
Diversity-Robust Acoustic Feature Signatures Based on Multiscale Fractal Dimension for Similarity Search of Environmental Sounds. - Ramy Shahin:
Towards Modal Software Engineering. - Lin Sun, Jiquan Wang, Kai Zhang, Yindu Su, Fangsheng Weng:
RpBERT: A Text-image Relation Propagation-based BERT Model for Multimodal NER. - Hussein A. Ammar, Raviraj Adve, Shahram Shahbazpanahi, Gary Boudreau, Kothapalli Venkata Srinivas:
Resource Allocation and Scheduling in Non-coherent User-centric Cell-free MIMO. - Jianhao Ma, Salar Fattahi:
Implicit Regularization of Sub-Gradient Method in Robust Matrix Recovery: Don't be Afraid of Outliers. - Hussein A. Ammar, Raviraj Adve, Shahram Shahbazpanahi, Gary Boudreau:
Optimizing RRH Placement Under a Noise-Limited Point-to-Point Wireless Backhaul. - Shukan Liu, Ruilin Xu, Boying Geng, Qiao Sun, Li Duan, Yiming Liu:
Metaknowledge Extraction Based on Multi-Modal Documents. - Jilin Tang, Yi Yuan, Tianjia Shao, Yong Liu, Mengmeng Wang, Kun Zhou:
Structure-aware Person Image Generation with Pose Decomposition and Semantic Correlation. - Mingi Ji, Byeongho Heo, Sungrae Park:
Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching. - Hong Chen, Raphael Shu, Hiroya Takamura, Hideki Nakayama:
GraphPlan: Story Generation by Planning with Event Graph. - Peng Zhang, Yang Wang, Xutong Liu, Yanhui Li, Yibao Yang, Ziyuan Wang, Xiaoyu Zhou, Lin Chen, Yuming Zhou:
Mutant reduction evaluation: what is there and what is missing? - Masatoshi Uehara, Masaaki Imaizumi, Nan Jiang, Nathan Kallus, Wen Sun, Tengyang Xie:
Finite Sample Analysis of Minimax Offline Reinforcement Learning: Completeness, Fast Rates and First-Order Efficiency. - Sabah Al-Fedaghi:
UML Modeling to TM Modeling and Back. - Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Paul N. Whatmough, Aleksandra Faust, Sabrina M. Neuman, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi:
Machine Learning-Based Automated Design Space Exploration for Autonomous Aerial Robots. - Clemens Grabmayer:
Structure-Constrained Process Graphs for the Process Semantics of Regular Expressions. 29-45 - Shu Liu, Shaojun Ma, Yongxin Chen, Hongyuan Zha, Haomin Zhou:
Learning High Dimensional Wasserstein Geodesics. - Christian J. Mahoney, Katie Jensen, Fusheng Wei, Haozhen Zhao, Han Qin, Shi Ye:
Application of Deep Learning in Recognizing Bates Numbers and Confidentiality Stamping from Images. - Jingjing Ren, Xiaowei Hu, Lei Zhu, Xuemiao Xu, Yangyang Xu, Weiming Wang, Zijun Deng, Pheng-Ann Heng:
Deep Texture-Aware Features for Camouflaged Object Detection. - Anna Georgiadou, Spiros Mouzakitis, Dimitris Askounis:
Designing a Cyber-security Culture Assessment Survey Targeting Critical Infrastructures During Covid-19 Crisis. - Yiwei Bai, Wenting Zhao, Carla P. Gomes:
Zero Training Overhead Portfolios for Learning to Solve Combinatorial Problems. - Katherine Cordwell, Yong Kiam Tan, André Platzer:
A Verified Decision Procedure for Univariate Real Arithmetic with the BKR Algorithm. - T. Mizuno:
A Link Diagram Visualizing Relations between Two Ordered Sets. - Felix Klose, Oliver Wang, Jean-Charles Bazin, Marcus A. Magnor, Alexander Sorkine-Hornung:
Sampling Based Scene-Space Video Processing. - Huaizheng Zhang, Meng Shen, Yizheng Huang, Yonggang Wen, Yong Luo, Guanyu Gao, Kyle Guan:
A Serverless Cloud-Fog Platform for DNN-Based Video Analytics with Incremental Learning. - Zhiqi Bu, Sivakanth Gopi, Janardhan Kulkarni, Yin Tat Lee, Judy Hanwen Shen, Uthaipon Tantipongpipat:
Fast and Memory Efficient Differentially Private-SGD via JL Projections. - Changhee Lee, Mihaela van der Schaar:
A Variational Information Bottleneck Approach to Multi-Omics Data Integration. - Sagnik Majumder, Chinmoy Samant, Greg Durrett:
Model Agnostic Answer Reranking System for Adversarial Question Answering. - Kanchan Chowdhury, Ankita Sharma, Arun Deepak Chandrasekar:
Evaluating Deep Learning in SystemML using Layer-wise Adaptive Rate Scaling(LARS) Optimizer. - Zhengshang Liu, Yue Yang, Tim Miller, Peta Masters:
Deceptive Reinforcement Learning for Privacy-Preserving Planning. - Zhi Tian, Bowen Zhang, Hao Chen, Chunhua Shen:
Instance and Panoptic Segmentation Using Conditional Convolutions. - A. Feder Cooper, Yucheng Lu, Christopher De Sa:
Hyperparameter Optimization Is Deceiving Us, and How to Stop It. - Zezu Liang, Yuan Liu, Tat-Ming Lok, Kaibin Huang:
Multi-Cell Mobile Edge Computing: Joint Service Migration and Resource Allocation. - Dalia Popescu, Philippe Jacquet, Bernard Mans:
Connecting flying backhauls of UAVs to enhance vehicular networks with fixed 5G NR infrastructure. - Bangti Jin, Yavar Kian, Zhi Zhou:
Reconstruction of a Space-Time Dependent Source in Subdiffusion Models via a Perturbation Approach. - Sylvain Carré, Franck Gabriel, Clément Hongler, Gustavo Lacerda, Gloria Capano:
Smart Proofs via Smart Contracts: Succinct and Informative Mathematical Derivations via Decentralized Markets. - Nae-Chyun Chen, Yu-Cheng Li, Yi-Chang Lu:
A Memory-Efficient FM-Index Constructor for Next-Generation Sequencing Applications on FPGAs. - Fu-Shun Hsu, Shang-Ran Huang, Chien-Wen Huang, Chao-Jung Huang, Yuan-Ren Cheng, Chun-Chieh Chen, Jack Hsiao, Chung-Wei Chen, Lichin Chen, Yen-Chun Lai, Bi-Fang Hsu, Nian-Jhen Lin, Wan-Lin Tsai, Yi-Lin Wu, Tzu-Ling Tzeng, Ching-Ting Tseng, Yi-Tsun Chen, Feipei Lai:
Benchmarking of eight recurrent neural network variants for breath phase and adventitious sound detection on a self-developed open-access lung sound database-HF_Lung_V1. - Wenting Zou, Li Li, Zichen Xu, Chengzhong Xu:
DEAL: Decremental Energy-Aware Learning in a Federated System. - Minghao Wang, Keyu Xu, Xiaohui Wang, Paolo Mengoni:
How Information Diffuse in a Nomination Network. - Julian Bernhard, Alois C. Knoll:
Risk-Constrained Interactive Safety under Behavior Uncertainty for Autonomous Driving. - Sahil Verma, Michael D. Ernst, René Just:
Removing biased data to improve fairness and accuracy. - Ruizhi Li, Gregory Sell, Hynek Hermansky:
Two-Stage Augmentation and Adaptive CTC Fusion for Improved Robustness of Multi-Stream End-to-End ASR. - Jonas Thiergart, Stefan Huber, Thomas Übellacker:
Understanding Emails and Drafting Responses - An Approach Using GPT-3. - Yotam Amitai, Ofra Amir:
"I Don't Think So": Disagreement-Based Policy Summaries for Comparing Agents. - Jang-Hyun Kim, Wonho Choo, Hosan Jeong, Hyun Oh Song:
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity. - Vladimir A. Garanzha, Igor E. Kaporin, Liudmila N. Kudryavtseva, François Protais, Nicolas Ray, Dmitry Sokolov:
Foldover-free maps in 50 lines of code. - Bho Matthiesen, Yijie Mao, Petar Popovski, Bruno Clerckx:
Globally Optimal Beamforming for Rate Splitting Multiple Access. - Weilai Li, Wanli Ni, Hui Tian, Meihui Hua:
Deep Reinforcement Learning for Energy-Efficient Beamforming Design in Cell-Free Networks. - Sven Puchinger, Johan Rosenkilde:
Bounds on List Decoding of Linearized Reed-Solomon Codes. - Harshana Habaragamuwa, Yu Oishi, Kenichi Tanaka:
Achieving Explainability for Plant Disease Classification with Disentangled Variational Autoencoders. - Li Liu, Xianghao Zhan, Rumeng Wu, Xiaoqing Guan, Zhan Wang, Wei Zhang, You Wang, Zhiyuan Luo, Guang Li:
Boost AI Power: Data Augmentation Strategies with unlabelled Data and Conformal Prediction, a Case in Alternative Herbal Medicine Discrimination with Electronic Nose. - Xi Wang, Iadh Ounis, Craig Macdonald:
Leveraging Review Properties for Effective Recommendation. - Aurélien Alfonsi, Rafaël Coyaud, Virginie Ehrlacher:
Constrained overdamped Langevin dynamics for symmetric multimarginal optimal transportation. - Andreas Lenz, Rawad Bitar, Antonia Wachter-Zeh, Eitan Yaakobi:
Function-Correcting Codes. - Ye Lyu, George Vosselman, Guisong Xia, Michael Ying Yang:
Bidirectional Multi-scale Attention Networks for Semantic Segmentation of Oblique UAV Imagery. - Bho Matthiesen, Eduard A. Jorswieck, Petar Popovski:
Hierarchical Resource Allocation: Balancing Throughput and Energy Efficiency in Wireless Systems. - Jannis Körner, Anton Arnold, Kirian Döpfner:
WKB-based scheme with adaptive step size control for the Schrödinger equation in the highly oscillatory regime. - Aliakbar Akbaritabar, Dimity Stephen:
A Disciplinary View of Changes in Publications' Reference Lists After Peer Review. - Kelly Kostopoulou, Hang Xu, Aritra Dutta, Xin Li, Alexandros Ntoulas, Panos Kalnis:
DeepReduce: A Sparse-tensor Communication Framework for Distributed Deep Learning. - Andreas Aakerberg, Kamal Nasrollahi, Thomas B. Moeslund:
Real-World Super-Resolution of Face-Images from Surveillance Cameras. - Md. Osman Gani, Somenath Kuiry, Alaka Das, Mita Nasipuri, Nibaran Das:
Multispectral Object Detection with Deep Learning. - Márton Búr, Kristóf Marussy, Brett H. Meyer, Dániel Varró:
Worst-Case Execution Time Calculation for Query-Based Monitors by Witness Generation. - Julian Bernhard, Stefan Pollok, Alois C. Knoll:
Addressing Inherent Uncertainty: Risk-Sensitive Behavior Generation for Automated Driving using Distributional Reinforcement Learning. - Luis M. Vaquero, Yehia Elkhatib, Félix Cuadrado:
Disaggregated Memory at the Edge. - Julian Bernhard, Robert Gieselmann, Klemens Esterle, Alois C. Knoll:
Experience-Based Heuristic Search: Robust Motion Planning with Deep Q-Learning. - Rui Chen, Sanjeeb Dash, Tian Gao:
Integer Programming for Causal Structure Learning in the Presence of Latent Variables. - Marcus Niemietz, Mario Korth, Christian Mainka, Juraj Somorovsky:
Over 100 Bugs in a Row: Security Analysis of the Top-Rated Joomla Extensions. - Jinbo Song, Chao Chang, Fei Sun, Zhenyang Chen, Guoyong Hu, Peng Jiang:
Graph Attention Collaborative Similarity Embedding for Recommender System. - Yannick Le Cacheux, Hervé Le Borgne, Michel Crucianu:
Zero-shot Learning with Deep Neural Networks for Object Recognition. - Chengmin Zhou, Bingding Huang, Pasi Fränti:
An advantage actor-critic algorithm for robotic motion planning in dense and dynamic scenarios. - Bartosz Kusmierz, Sebastian Müller, Angelo Capossele:
Committee selection in DAG distributed ledgers and applications. - Giuseppe Paolo, Alexandre Coninx, Stéphane Doncieux, Alban Laflaquière:
Sparse Reward Exploration via Novelty Search and Emitters. - Tobias Hinz, Matthew Fisher, Oliver Wang, Eli Shechtman, Stefan Wermter:
CharacterGAN: Few-Shot Keypoint Character Animation and Reposing. - Tiantian He, Lu Bai, Yew-Soon Ong:
Graph Joint Attention Networks. - Liqun Chen, Siaw-Lynn Ng:
Securing emergent behaviour in swarm robotics. - Kristof T. Schütt, Oliver T. Unke, Michael Gastegger:
Equivariant message passing for the prediction of tensorial properties and molecular spectra. - Minyoung Kim, Vladimir Pavlovic:
Reducing the Amortization Gap in Variational Autoencoders: A Bayesian Random Function Approach. - Quentin Bouniot, Romaric Audigier, Angélique Loesch:
Optimal Transport as a Defense Against Adversarial Attacks. - Wenbo Gong, Kaibo Zhang, Yingzhen Li, José Miguel Hernández-Lobato:
Active Slices for Sliced Stein Discrepancy. - Chaoyang He, Shen Li, Mahdi Soltanolkotabi, Salman Avestimehr:
PipeTransformer: Automated Elastic Pipelining for Distributed Training of Transformers. - Moritz Benedikt Fischer, Sebastian Dörner, Sebastian Cammerer, Takayuki Shimizu, Bin Cheng, Hongsheng Lu, Stephan ten Brink:
Wiener Filter versus Recurrent Neural Network-based 2D-Channel Estimation for V2X Communications. - Graham Campbell:
Parallel Hyperedge Replacement String Languages. 46-61 - Christopher Mitcheltree, Hideki Koike:
White-box Audio VST Effect Programming. - Thomas Maranzatto, Lev Reyzin:
Reconstructing Arbitrary Trees from Traces in the Tree Edit Distance Model. - Ryan Furlong, Vincent O'Brien, James Garland, Francisco Domínguez-Mateos:
Metric Embedding Sub-discrimination Study. - Matti Pouke, Katherine J. Mimnaugh, Alexis Chambers, Timo Ojala, Steven M. LaValle:
The Plausibility Paradox for Resized Users in Virtual Environments. - Aditya Varre, Loucas Pillaud-Vivien, Nicolas Flammarion:
Last iterate convergence of SGD for Least-Squares in the Interpolation regime. - Shanfeng Huang, Shuai Wang, Rui Wang, Miaowen Wen, Kaibin Huang:
Reconfigurable Intelligent Surface Assisted Edge Machine Learning. - Simon Coste, Ludovic Stephan:
A simpler spectral approach for clustering in directed networks. - Anna Andrle, Nando Farchmin, Paul Hagemann, Sebastian Heidenreich, Victor Soltwisch, Gabriele Steidl:
Invertible Neural Networks versus MCMC for Posterior Reconstruction in Grazing Incidence X-Ray Fluorescence. - Tiancheng Yu, Yi Tian, Jingzhao Zhang, Suvrit Sra:
Provably Efficient Algorithms for Multi-Objective Competitive RL. - Tomoya Murata, Taiji Suzuki:
Bias-Variance Reduced Local SGD for Less Heterogeneous Federated Learning. - Stefano Zamuner, Paolo De Los Rios:
Interpretable Neural Networks based classifiers for categorical inputs. - Miroslav Kosanic, Veljko Milutinovic:
A Survey on Mathematical Aspects of Machine Learning in GeoPhysics: The Cases of Weather Forecast, Wind Energy, Wave Energy, Oil and Gas Exploration. - Hyeong-Seok Choi, Sungjin Park, Jie Hwan Lee, Hoon Heo, Dongsuk Jeon, Kyogu Lee:
Real-time Denoising and Dereverberation with Tiny Recurrent U-Net. - Assyr Abdulle, Charles-Edouard Bréhier, Gilles Vilmart:
Convergence analysis of explicit stabilized integrators for parabolic semilinear stochastic PDEs. - Diogo Nunes Gonçalves, Mauro dos Santos de Arruda, Hemerson Pistori, Vanessa Jordão Marcato Fernandes, Ana Paula Marques Ramos, Danielle Elis Garcia Furuya, Lucas Prado Osco, Hongjie He, Jonathan Li, José Marcato Junior, Wesley Nunes Gonçalves:
A Deep Learning Approach Based on Graphs to Detect Plantation Lines. - Sixing Yu, Arya Mazaheri, Ali Jannesari:
GNN-RL Compression: Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning. - Ioannis Zografopoulos, Charalambos Konstantinou, Nektarios Georgios Tsoutsos, Dan Zhu, Robert Broadwater:
Security Assessment and Impact Analysis of Cyberattacks in Integrated T&D Power Systems. - Ahmad Ahmadzade, Saber Malekzadeh:
Spell Correction for Azerbaijani Language using Deep Neural Networks. - Boris Düdder, Haiqin Wu, Michael Henke, Natalia Straub, Tan Gürpinar, Philipp Asterios Ioannidis, Vladislav Fomin, Raimundas Matulevicius, Mubashar Iqbal:
BlockNet Report: Curriculum Guidance Document. - Ming Ouyang, Xuesong Shi, Yujie Wang, Yuxin Tian, Yingzhe Shen, Dawei Wang, Peng Wang:
A Collaborative Visual SLAM Framework for Service Robots. - Ho-Hsiang Wu, Chieh-Chi Kao, Qingming Tang, Ming Sun, Brian McFee, Juan Pablo Bello, Chao Wang:
Multi-Task Self-Supervised Pre-Training for Music Classification. - Abhishek Sharma, Maks Ovsjanikov:
Matrix Decomposition on Graphs: A Functional View. - Vladlen Koltun, David Hafner:
The h-index is no longer an effective correlate of scientific reputation. - Giovanni Cherubin, Konstantinos Chatzikokolakis, Martin Jaggi:
Exact Optimization of Conformal Predictors via Incremental and Decremental Learning. - Jinseok Kim, Jason Owen-Smith:
ORCID-linked labeled data for evaluating author name disambiguation at scale. - Christian M. Dahl, Torben S. D. Johansen, Emil N. Sørensen, Christian E. Westermann, Simon F. Wittrock:
Applications of Machine Learning in Document Digitisation. - Garrick Cabour, Élise Ledoux, Samuel Bassetto:
Extending System Performance Past the Boundaries of Technical Maturity: Human-Agent Teamwork Perspective for Industrial Inspection. - Rafael S. Pereira, Alexis Joly, Patrick Valduriez, Fábio Porto:
Hyperspherical embedding for novel class classification. - Saad Kriouile, Mohamad Assaad:
Minimizing the Age of Incorrect Information for Real-time Tracking of Markov Remote Sources. - Hanqing Chao, Kun Wang, Yiwei He, Junping Zhang, Jianfeng Feng:
GaitSet: Cross-view Gait Recognition through Utilizing Gait as a Deep Set. - Jinseok Kim, Jenna Kim:
Effect of forename string on author name disambiguation. - Jinseok Kim:
A fast and integrative algorithm for clustering performance evaluation in author name disambiguation. - Carolina Vittoria Beccari, Giulio Casciola:
Stable numerical evaluation of multi-degree B-splines. - Jinseok Kim, Jana Diesner:
Formational bounds of link prediction in collaboration networks. - Ang A. Li, Zongqing Lu, Chenglin Miao:
Revisiting Prioritized Experience Replay: A Value Perspective. - Alireza Gharahighehi, Celine Vens:
Diversification in Session-based News Recommender Systems. - Federico Marmoreo, Jacopo Cavazza, Vittorio Murino:
Transductive Zero-Shot Learning by Decoupled Feature Generation. - Anton Mallasto:
Estimating 2-Sinkhorn Divergence between Gaussian Processes from Finite-Dimensional Marginals. - Lars Heling, Maribel Acosta:
A Framework for Federated SPARQL Query Processing over Heterogeneous Linked Data Fragments. - Jinseok Kim, Jana Diesner:
Over-time measurement of triadic closure in coauthorship networks. - Jinseok Kim, Jinmo Kim, Jason Owen-Smith:
Generating automatically labeled data for author name disambiguation: An iterative clustering method. - Samir Wadhwa, Roy Dong:
On the Sample Complexity of Causal Discovery and the Value of Domain Expertise. - Samuel Müller, André Biedenkapp, Frank Hutter:
In-Loop Meta-Learning with Gradient-Alignment Reward. - Lluís Alemany-Puig, Juan Luis Esteban, Ramon Ferrer-i-Cancho:
Minimum projective linearizations of trees in linear time. - Hyeryung Jang, Osvaldo Simeone:
Multi-Sample Online Learning for Spiking Neural Networks based on Generalized Expectation Maximization. - Giovanni Delnevo, Marco Roccetti, Luca Casini:
Categorical data as a stone guest in a data science project for predicting defective water meters. - Pierluigi Zama Ramirez, Alessio Tonioni, Federico Tombari:
Unsupervised Novel View Synthesis from a Single Image. - Suzhi Bi, Liang Huang, Hui Wang, Ying-Jun Angela Zhang:
Stable Online Computation Offloading via Lyapunov-guided Deep Reinforcement Learning. - Amir Rasouli:
Pedestrian Simulation: A Review. - Christos Tranoris:
Openslice: An opensource OSS for Delivering Network Slice as a Service. - Michael A. Alcorn, Anh Nguyen:
baller2vec: A Multi-Entity Transformer For Multi-Agent Spatiotemporal Modeling. - Lizuo Liu, Bo Wang, Wei Cai:
A Linearized Learning with Multiscale Deep Neural Network for Stationary Navier-Stokes Equations with Oscillatory Solutions. - Radu Calinescu, Naif Alasmari, Mario Gleirscher:
Maintaining driver attentiveness in shared-control autonomous driving. - Giovanni Rosa, Luca Pascarella, Simone Scalabrino, Rosalia Tufano, Gabriele Bavota, Michele Lanza, Rocco Oliveto:
Evaluating SZZ Implementations Through a Developer-informed Oracle. - Shuliang Xu, Shenglan Liu, Lin Feng:
Self-Supervised Deep Graph Embedding with High-Order Information Fusion for Community Discovery. - Sylvia C. Boyd, Joseph Cheriyan, Arash Haddadan, Sharat Ibrahimpur:
A 2-Approximation Algorithm for Flexible Graph Connectivity. - Jakob Ablinger, Carsten Schneider:
Solving linear difference equations with coefficients in rings with idempotent representations. - Michal G. Ciszewski, Jakob Söhl, Geurt Jongbloed:
Improving state estimation through projection post-processing for activity recognition in football. - Spyros Angelopoulos, Shahin Kamali, Kimia Shadkami:
Online Bin Packing with Predictions. - Surya Kant Sahu, Abhinav Java, Arshad Shaikh:
On The Connection of Benford's Law and Neural Networks. - Sumithra Bhakthavatsalam, Daniel Khashabi, Tushar Khot, Bhavana Dalvi Mishra, Kyle Richardson, Ashish Sabharwal, Carissa Schoenick, Oyvind Tafjord, Peter Clark:
Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge. - Winston Chou:
Randomized Controlled Trials with Minimal Data Retention. - Nathan F. Lepora, Andrew Stinchcombe, Chris Ford, Alfred Brown, John Lloyd, Manuel G. Catalano, Matteo Bianchi, Benjamin Ward-Cherrier:
Towards integrated tactile sensorimotor control in anthropomorphic soft robotic hands. - Luciano da F. Costa:
Complex Networks of Functions. - Yorick Zeschke:
Growth Functions, Rates and Classes of String-Based Multiway Systems. - Ana Lucic, Maartje ter Hoeve, Gabriele Tolomei, Maarten de Rijke, Fabrizio Silvestri:
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks. - Henry B. Moss, David S. Leslie, Javier González, Paul Rayson:
GIBBON: General-purpose Information-Based Bayesian OptimisatioN. - Wei Jiang, Hans Dieter Schotten:
Predictive Relay Selection: A Cooperative Diversity Scheme Using Deep Learning. - Edouard Capellier, Franck Davoine, Véronique Cherfaoui, You Li:
Fusion of neural networks, for LIDAR-based evidential road mapping. - Siyuan Liu, Navid Noroozi, Majid Zamani:
Symbolic Models for Infinite Networks of Control Systems: A Compositional Approach. - Jie Yuan, Xuming Ran, Keyin Liu, Chen Yao, Yi Yao, Haiyan Wu, Quanying Liu:
Machine Learning Applications on Neuroimaging for Diagnosis and Prognosis of Epilepsy: A Review. - Maria Francis, Thibaut Verron:
On Two Signature Variants Of Buchberger's Algorithm Over Principal Ideal Domains. - Siyuan Shan, Junier B. Oliva:
NRTSI: Non-Recurrent Time Series Imputation for Irregularly-sampled Data. - HeeJong Park, Arvind Easwaran, Sidharta Andalam:
Challenges in Digital Twin Development for Cyber-Physical Production Systems. - Christof Ferreira Torres, Ramiro Camino, Radu State:
Frontrunner Jones and the Raiders of the Dark Forest: An Empirical Study of Frontrunning on the Ethereum Blockchain. - Srinadh Bhojanapalli, Kimberly Wilber, Andreas Veit, Ankit Singh Rawat, Seungyeon Kim, Aditya Krishna Menon, Sanjiv Kumar:
On the Reproducibility of Neural Network Predictions. - Wenlong Liao, Yusen Wang, Yuelong Wang, Kody M. Powell, Qi Liu:
Scenario Generation for Cooling, Heating, and Power Loads Using Generative Moment Matching Networks. - Satyam Dwivedi, Ritesh Shreevastav, Florent Munier, Johannes Nygren, Iana Siomina, Mohammed Yazid Lyazidi, Deep Shrestha, Gustav Lindmark, Per Ernström, Erik Stare, Sara Modarres Razavi, Siva D. Muruganathan, Gino Masini, Åke Busin, Fredrik Gunnarsson:
Positioning in 5G networks. - Manuel López-Ibáñez, Jürgen Branke, Luís Paquete:
Reproducibility in Evolutionary Computation. - Lehui Xie, Yaopeng Wang, Jia-Li Yin, Ximeng Liu:
Robust Single-step Adversarial Training with Regularizer. - Tu Le, Danny Yuxing Huang, Noah J. Apthorpe, Yuan Tian:
SkillBot: Identifying Risky Content for Children in Alexa Skills. - Minhui Huang, Shiqian Ma, Lifeng Lai:
Projection Robust Wasserstein Barycenters. - Anbumalar Saravanan, Justin Sanchez, Hassan Ghasemzadeh, Aurelia Macabasco-O'Connell, Hamed Tabkhi:
Single Run Action Detector over Video Stream - A Privacy Preserving Approach. - Abhishek Bihani, Hugh Daigle, Javier E. Santos, Christopher Landry, Masa Prodanovic, Kitty Milliken:
MudrockNet: Semantic Segmentation of Mudrock SEM Images through Deep Learning. - Francesco Malandrino, Carla-Fabiana Chiasserini, Nuria Molner, Antonio de la Oliva:
Network Support for High-performance Distributed Machine Learning. - Shuhao Cao, Long Chen, Xuehai Huang:
Error analysis of a decoupled finite element method for quad-curl problems. - Yonathan Efroni, Nadav Merlis, Aadirupa Saha, Shie Mannor:
Confidence-Budget Matching for Sequential Budgeted Learning. - Tengchan Zeng, Omid Semiari, Mingzhe Chen, Walid Saad, Mehdi Bennis:
Federated Learning on the Road: Autonomous Controller Design for Connected and Autonomous Vehicles. - Júlio Araújo, Marin Bougeret, Victor A. Campos, Ignasi Sau:
Parameterized complexity of computing maximum minimal blocking and hitting sets. - Mohammed S. Al-Abiad, Md. Zoheb Hassan, Md. Jahangir Hossain:
Throughput Maximization of Network-Coded and Multi-Level Cache-Enabled Heterogeneous Network. - Adam Santoro, Andrew K. Lampinen, Kory W. Mathewson, Timothy P. Lillicrap, David Raposo:
Symbolic Behaviour in Artificial Intelligence. - Wei Jiang, Hans Dieter Schotten:
A Simple Cooperative Diversity Method Based on Deep-Learning-Aided Relay Selection. - Michael Bartholic, Zhengrong Gu, Jianan Su, Justin Goldstein, Shin'ichiro Matsuo:
Smart Auto Insurance: High Resolution, Dynamic, Privacy-Driven, Telematic Insurance. - William Briguglio, Parisa Moghaddam, Waleed A. Yousef, Issa Traoré, Mohammad Mamun:
Machine Learning in Precision Medicine to Preserve Privacy via Encryption. - Piotr Rzeszut, Jakub Checinski, Ireneusz Brzozowski, Slawomir Zietek, Witold Skowronski, Tomasz Stobiecki:
Multi-state MRAM cells for hardware neuromorphic computing. - Dora Jambor, Komal K. Teru, Joelle Pineau, William L. Hamilton:
Exploring the Limits of Few-Shot Link Prediction in Knowledge Graphs. - Alexander Weiss, Smitha Gautham, Athira Varma Jayakumar, Carl R. Elks, D. Richard Kuhn, Raghu N. Kacker, Thomas B. Preußer:
Understanding and Fixing Complex Faults in Embedded Cyberphysical Systems. - Ye Zhu, Yu Wu, Hugo Latapie, Yi Yang, Yan Yan:
Learning Audio-Visual Correlations from Variational Cross-Modal Generation. - Christantus O. Nnamani, Muhammad R. A. Khandaker, Mathini Sellathurai:
Gridded UAV Swarm for Secrecy Rate Maximization with Unknown Eavesdropper. - Juan D. García-Arteaga, Valentina Pellegrino:
A Network Based Approach to Characterize Twenty-First-Century Populism in Colombia. - Johannes Gerster, Marcel Sarstedt, Eric M. S. P. Veith, Sebastian Lehnhoff, Lutz Hofmann:
Pointing out the Convolution Problem of Stochastic Aggregation Methods for the Determination of Flexibility Potentials at Vertical System Interconnections. - Aritra Konar, Nicholas D. Sidiropoulos:
Exploring the Subgraph Density-Size Trade-off via the Lovász Extension. - Yan Lu, Yuanchao Shu:
Custom Object Detection via Multi-Camera Self-Supervised Learning. - Andrea Tagliabue, Jesus Tordesillas, Xiaoyi Cai, Angel Santamaria-Navarro, Jonathan P. How, Luca Carlone, Ali-akbar Agha-mohammadi:
LION: Lidar-Inertial Observability-Aware Navigator for Vision-Denied Environments. - Dominik Drees, Aaron Scherzinger, René Hägerling, Friedemann Kiefer, Xiaoyi Jiang:
Scalable Robust Graph and Feature Extraction for Arbitrary Vessel Networks in Large Volumetric Datasets. - Karan Singhal, Hakim Sidahmed, Zachary Garrett, Shanshan Wu, Keith Rush, Sushant Prakash:
Federated Reconstruction: Partially Local Federated Learning. - Zhixian Chen, Tengfei Ma, Yangqiu Song, Yang Wang:
Wasserstein diffusion on graphs with missing attributes. - Moeen Mostafavi, Fateme Nikseresht, Jacob Earl Resch, Laura E. Barnes, Mehdi Boukhechba:
Collision Prediction and Prevention in Contact Sports Using RFID tags and Haptic Feedback. - Neeraj Kumar, Stavros Sintos, Subhash Suri:
The Maximum Exposure Problem. - Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Lukas Frickenstein, Walter Stechele:
BinaryCoP: Binary Neural Network-based COVID-19 Face-Mask Wear and Positioning Predictor on Edge Devices. - Theodor Cimpeanu, Cedric Perret, The Anh Han:
Promoting Fair Proposers, Fair Responders or Both? Cost-Efficient Interference in the Spatial Ultimatum Game. - Stephan C. Meylan, Ruthe Foushee, Elika Bergelson, Roger P. Levy:
Child-directed Listening: How Caregiver Inference Enables Children's Early Verbal Communication. - Tristan Cazenave:
Improving Model and Search for Computer Go. - Tohid Khalili, Hamed Ganjeh Ganjehlou, Ali Bidram, Sayyad Nojavan, Somayeh Asadi:
Financial Risk-Based Scheduling of Microgrids Accompanied by Surveying the Influence of the Demand Response Program. - Jeancarlo Campos Leão, Alberto H. F. Laender, Pedro O. S. Vaz de Melo:
Overcoming Bias in Community Detection Evaluation. - Jian Hu, Haibin Wu, Seth Austin Harding, Siyang Jiang, Shih-wei Liao:
RIIT: Rethinking the Importance of Implementation Tricks in Multi-Agent Reinforcement Learning. - Jianing Zhu, Jingfeng Zhang, Bo Han, Tongliang Liu, Gang Niu, Hongxia Yang, Mohan S. Kankanhalli, Masashi Sugiyama:
Understanding the Interaction of Adversarial Training with Noisy Labels. - Haowei Sun, Shuo Feng, Xintao Yan, Henry X. Liu:
Corner Case Generation and Analysis for Safety Assessment of Autonomous Vehicles. - Madhusudan Kumar Sinha, Arun Pachai Kannu:
Communications using Sparse Signals. - Yuxiao Lu, Jie Lin, Chao Jin, Zhe Wang, Khin Mi Mi Aung, Xiaoli Li:
FFConv: Fast Factorized Neural Network Inference on Encrypted Data. - Junyi An, Fengshan Liu, Jian Zhao, Furao Shen:
IC Networks: Remodeling the Basic Unit for Convolutional Neural Networks. - Nima Nikmehr, Mikhail A. Bragin, Peter B. Luh, Peng Zhang:
Distributed and Asynchronous Operational Optimization of Networked Microgrids. - Ziquan Liu, Yufei Cui, Jia Wan, Yu Mao, Antoni B. Chan:
The Implicit Biases of Stochastic Gradient Descent on Deep Neural Networks with Batch Normalization. - Xin Yi, Bo Ma, Yulin Zhang, Longyao Liu, Jiahao Wu:
Two-Step Image Dehazing with Intra-domain and Inter-domain Adaption. - Chien-Lung Chou, Chieh-Yun Chen, Chia-Wei Hsieh, Hong-Han Shuai, Jiaying Liu, Wen-Huang Cheng:
Template-Free Try-on Image Synthesis via Semantic-guided Optimization. - Johan Helsing, Shidong Jiang:
Solving Fredholm second-kind integral equations with singular right-hand sides on non-smooth boundaries. - Sameera Ramasinghe, Kasun Fernando, Salman H. Khan, Nick Barnes:
Robust normalizing flows using Bernstein-type polynomials. - Yuichi Komorida:
Injective Objects and Fibered Codensity Liftings. - Amit Satish Unde, Renu M. Rameshan:
MOTS R-CNN: Cosine-margin-triplet loss for multi-object tracking. - Sikha Pentyala, Rafael Dowsley, Martine De Cock:
Privacy-Preserving Video Classification with Convolutional Neural Networks. - Ulrich Langer, Olaf Steinbach, Huidong Yang:
Robust discretization and solvers for elliptic optimal control problems with energy regularization. - Xiling Li, Rafael Dowsley, Martine De Cock:
Privacy-Preserving Feature Selection with Secure Multiparty Computation. - Chengyuan Ma, Chunhui Yu, Xiaoguang Yang:
Trajectory Planning for Connected and Automated Vehicles at Isolated Signalized Intersections under Mixed Traffic Environment. - Jie Mei, Jenq-Neng Hwang, Suzanne Romain, Craig S. Rose, Braden Moore, Kelsey Magrane:
Video-based Hierarchical Species Classification for Longline Fishing Monitoring. - Yuan Tian, Lianjun Li, Andrea Fumagalli, Yonas Tanesse, Balakrishnan Prabhakaran:
Haptic-enabled Mixed Reality System for Mixed-initiative Remote Robot Control. - Xiaoxuan Lou, Shangwei Guo, Tianwei Zhang, Yinqian Zhang, Yang Liu:
When NAS Meets Watermarking: Ownership Verification of DNN Models via Cache Side Channels. - Kaidi Cao, Maria Brbic, Jure Leskovec:
Open-World Semi-Supervised Learning. - Zeyu Jin, Ruo Li:
High Order Numerical Homogenization for Dissipative Ordinary Differential Equations. - Martin Suda:
Vampire With a Brain Is a Good ITP Hammer. - Zhian Kuang, Xiang Zhang, Liting Sun, Huijun Gao, Masayoshi Tomizuka:
Feedback-based Digital Higher-order Terminal Sliding Mode for 6-DOF Industrial Manipulators. - Gennaro Cordasco, Luisa Gargano, Adele Anna Rescigno:
Parameterized Complexity of Immunization in the Threshold Model. - Haipeng Zhang, Zhong Cao, Ziang Yan, Changshui Zhang:
Sill-Net: Feature Augmentation with Separated Illumination Representation. - Zhian Kuang, Liting Sun, Huijun Gao, Masayoshi Tomizuka:
Practical Fractional-Order Variable-Gain Super-Twisting Control with Application to Wafer Stages of Photolithography Systems. - Seonghoon Jeong, Boosun Jeon, Boheung Chung, Huy Kang Kim:
Convolutional Neural Network-based Intrusion Detection System for AVTP Streams in Automotive Ethernet-based Networks. - Yuan-Hang Zhang, Massimiliano Di Ventra:
Directed percolation and numerical stability of simulations of digital memcomputing machines. - Hualie Jiang, Zhe Sheng, Siyu Zhu, Zilong Dong, Rui Huang:
UniFuse: Unidirectional Fusion for 360° Panorama Depth Estimation. - Ernie Chang, Vera Demberg, Alex Marin:
Jointly Improving Language Understanding and Generation with Quality-Weighted Weak Supervision of Automatic Labeling. - Ernie Chang, Hui-Syuan Yeh, Vera Demberg:
Does the Order of Training Samples Matter? Improving Neural Data-to-Text Generation with Curriculum Learning. - Davide Andrea Guastella:
Scheduling Plans of Tasks. - Ernie Chang, Xiaoyu Shen, Dawei Zhu, Vera Demberg, Hui Su:
Neural Data-to-Text Generation with LM-based Text Augmentation. - Nan Jiang, Xuehui Yu, Xiaoke Peng, Yuqi Gong, Zhenjun Han:
SM+: Refined Scale Match for Tiny Person Detection. - Edward J. Oughton:
Policy options for digital infrastructure strategies: A simulation model for broadband universal service in Africa. - Yan Dong:
Standard and Event Cameras Fusion for Dense Mapping. - Zuobai Zhang, Wanyue Xu, Zhongzhi Zhang, Guanrong Chen:
Opinion Dynamics Incorporating Higher-Order Interactions. - Jianyong Sun, Xin Liu, Thomas Bäck, Zongben Xu:
Learning adaptive differential evolution algorithm from optimization experiences by policy gradient. - Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Penggang Qin, Baoxing Huai, Tongzhu Liu, Enhong Chen:
Drug Package Recommendation via Interaction-aware Graph Induction. - Phoomraphee Luenam, Yau Pun Chen, Raymond Chi-Wing Wong:
Approximating Happiness Maximizing Set Problems. - Huilian Zhang, Xiaofan He, Qingqing Wu, Huaiyu Dai:
Spectral Graph Theory Based Resource Allocation for IRS-Assisted Multi-Hop Edge Computing. - Seung Gyu Hyun, Vincent Neiger, Éric Schost:
Algorithms for Linearly Recurrent Sequences of Truncated Polynomials. - Salar Fattahi, Andrés Gómez:
Scalable Inference of Sparsely-changing Markov Random Fields with Strong Statistical Guarantees. - Zenghao Chai, Chun Yuan, Zhihui Lin, Yunpeng Bai:
CMS-LSTM: Context-Embedding and Multi-Scale Spatiotemporal-Expression LSTM for Video Prediction. - Ayan Sengupta, Yasser Mohammad, Shinji Nakadai:
An Autonomous Negotiating Agent Framework with Reinforcement Learning Based Strategies and Adaptive Strategy Switching Mechanism. - Lutfi Kerem Senel, Hinrich Schütze:
Does He Wink or Does He Nod? A Challenging Benchmark for Evaluating Word Understanding of Language Models. - Frank D. Julca-Aguilar, Jason Taylor, Mario Bijelic, Fahim Mannan, Ethan Tseng, Felix Heide:
Gated3D: Monocular 3D Object Detection From Temporal Illumination Cues. - Umair Zulfiqar, Victor Sreeram, Xin Du:
Frequency- and Time-limited H2-optimal Model Order Reduction within Projection Framework. - Maya Slamovich, Ram Zamir:
Frame Based Codes for Partially Active NOMA. - Manohar Kaul, Masaaki Imaizumi:
Understanding Higher-order Structures in Evolving Graphs: A Simplicial Complex based Kernel Estimation Approach. - Steven Dahdah, James Richard Forbes:
Linear Matrix Inequality Approaches to Koopman Operator Approximation. - Jérémie Lagravière, Johannes Langguth, Martina Prugger, Phuong Hoai Ha, Xing Cai:
A Newcomer In The PGAS World - UPC++ vs UPC: A Comparative Study. - Dibakar Das, Mohammad Fahad Imteyaz, Jyotsna Bapat, Debabrata Das:
A Data Augmented Bayesian Network for Node Failure Prediction in Optical Networks. - Anirban Das, Stacy Patterson:
Multi-Tier Federated Learning for Vertically Partitioned Data. - Jann Goschenhofer, Rasmus Hvingelby, David Rügamer, Janek Thomas, Moritz Wagner, Bernd Bischl:
Deep Semi-Supervised Learning for Time Series Classification. - Daniel Oliveira, Tiago Gomes, Sandro Pinto:
uTango: an open-source TEE for the Internet of Things. - Zakaria Patel, Markus Rummel:
Extremal learning: extremizing the output of a neural network in regression problems. - Jesus G. Cruz-Garza, Michael Darfler, James D. Rounds, Elita Gao, Saleh Kalantari:
EEG-based Investigation of the Impact of Classroom Design on Cognitive Performance of Students. - Jianli Pan, Jianyu Wang, Ismail AlQerm, Yuanni Liu, Zhicheng Yang:
ORCA: Enabling an Owner-centric and Data-driven Management Paradigm for Future Heterogeneous Edge-IoT Systems. - Irene Rivas-Blanco, Carlos Jesús Pérez-del-Pulgar, Andrea Mariani, Claudio Quaglia, Giuseppe Tortora, Arianna Menciassi, Victor F. Muñoz:
A surgical dataset from the da Vinci Research Kit for task automation and recognition. - De Huang, Jonathan Niles-Weed, Rachel A. Ward:
Streaming k-PCA: Efficient guarantees for Oja's algorithm, beyond rank-one updates. - Diana Manvelyan, Bernd Simeon, Utz Wever:
An Efficient Model Order Reduction Scheme for Dynamic Contact in Linear Elasticity. - Vibhor Agarwal, Yash Vekaria, Pushkal Agarwal, Sangeeta Mahapatra, Shounak Set, Sakthi Balan Muthiah, Nishanth Sastry, Nicolas Kourtellis:
Under the Spotlight: Web Tracking in Indian Partisan News Websites. - Patrick Kidger, James Foster, Xuechen Li, Harald Oberhauser, Terry J. Lyons:
Neural SDEs as Infinite-Dimensional GANs. - Anastasia Kuznetsova, Anurag Kumar, Francis M. Tyers:
A bandit approach to curriculum generation for automatic speech recognition. - Dylan Bates:
Recommending More Efficient Workflows to Software Developers. - Anushree Hede, Oshin Agarwal, Linda Lu, Diana C. Mutz, Ani Nenkova:
From Toxicity in Online Comments to Incivility in American News: Proceed with Caution. - Karthik K. Padthe, Vikas Kumar, Carly M. Eckert, Nicholas M. Mark, Anam Zahid, Muhammad Aurangzeb Ahmad, Ankur Teredesai:
Emergency Department Optimization and Load Prediction in Hospitals. - Leena Mathur, Maja J. Mataric:
Unsupervised Audio-Visual Subspace Alignment for High-Stakes Deception Detection. - Amy Nesky, Quentin F. Stout:
Generating Artificial Core Users for Interpretable Condensed Data. - Jukka Ruohonen:
A Review of Product Safety Regulations in the European Union. - James Yang:
FastAD: Expression Template-Based C++ Library for Fast and Memory-Efficient Automatic Differentiation. - Qifa Yan, Daniela Tuninetti:
Robust and Secure Cache-aided Private Linear Function Retrieval from Coded Servers. - Tanja Schultz, Felix Putze, Thorsten Fehr, Moritz Meier, Celeste Mason, Florian Ahrens, Manfred Herrmann:
Linking Labs: Interconnecting Experimental Environments. - Lei Yan, Theodoros Stouraitis, Sethu Vijayakumar:
Decentralized Ability-Aware Adaptive Control for Multi-robot Collaborative Manipulation. - Yifan Hu, Changwei Hu, Thanh Tran, Tejaswi Kasturi, Elizabeth Joseph, Matt Gillingham:
What's in a Name? - Gender Classification of Names with Character Based Machine Learning Models. - Shaoshi Chen, Ruyong Feng, Pingchuan Ma, Michael F. Singer:
Separability Problems in Creative Telescoping. - Fredrik Westling, James Patrick Underwood, Mitch Bryson:
A procedure for automated tree pruning suggestion using LiDAR scans of fruit trees. - Jialun Aaron Jiang, Kandrea Wade, Casey Fiesler, Jed R. Brubaker:
Supporting Serendipity: Opportunities and Challenges for Human-AI Collaboration in Qualitative Analysis. - Huu-Thiet Nguyen, Chien Chern Cheah, Kar-Ann Toh:
An Analytic Layer-wise Deep Learning Framework with Applications to Robotics. - Rolando Kindelan, José Frías, Mauricio Cerda, Nancy Hitschfeld:
Classification based on Topological Data Analysis. - Seyed Mehdi Iranmanesh, Nasser M. Nasrabadi:
HGAN: Hybrid Generative Adversarial Network. - Gabriele Pozzato, Seong Beom Lee, Simona Onori:
Modeling Degradation for Second-life Battery: Preliminary Results. - Wuxinlin Cheng, Chenhui Deng, Zhiqiang Zhao, Yaohui Cai, Zhiru Zhang, Zhuo Feng:
SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation. - Ming Yuan, Vikas Kumar, Muhammad Aurangzeb Ahmad, Ankur Teredesai:
Assessing Fairness in Classification Parity of Machine Learning Models in Healthcare. - Shivaram Kalyanakrishnan, Siddharth Aravindan, Vishwajeet Bagdawat, Varun Bhatt, Harshith Goka, Archit Gupta, Kalpesh Krishna, Vihari Piratla:
An Analysis of Frame-skipping in Reinforcement Learning. - Siddharth Aravindan, Wee Sun Lee:
State-Aware Variational Thompson Sampling for Deep Q-Networks. - Kentaro Sako, Shin'ichiro Matsuo, Sachin Meier:
Fairness in ERC token markets: A Case Study of CryptoKitties. - Zhongyuan Hau, Kenneth T. Co, Soteris Demetriou, Emil C. Lupu:
Object Removal Attacks on LiDAR-based 3D Object Detectors. - Ping Chen, Dong Yang, Fangyin Wu, Qin Li, Qingpei Xia, Yong Tan:
SR-Affine: High-quality 3D hand model reconstruction from UV Maps. - Bo Yang, Hengwei Zhang, Yuchen Zhang, Kaiyong Xu, Jindong Wang:
Adversarial example generation with AdaBelief Optimizer and Crop Invariance. - Buu Phan, Fahim Mannan, Felix Heide:
Adversarial Imaging Pipelines. - Hong-lin Liao, Bingquan Ji, Lin Wang, Zhimin Zhang:
Mesh-robustness of the variable steps BDF2 method for the Cahn-Hilliard model. - Zhiyuan Liu, Yankai Lin, Maosong Sun:
Representation Learning for Natural Language Processing. - Shubhada Agrawal, Sandeep Juneja, Wouter M. Koolen:
Regret Minimization in Heavy-Tailed Bandits. - Nan Shao, Yiming Cui, Ting Liu, Shijin Wang, Guoping Hu:
Memory Augmented Sequential Paragraph Retrieval for Multi-hop Question Answering. - Geza Kovacs:
Reconstructing Detailed Browsing Activities from Browser History. - Chengquan Ju:
Hierarchically Coordinated Energy Management for A Regional Multi-microgrid Community. - Jie Li, Yu Hu:
DPointNet: A Density-Oriented PointNet for 3D Object Detection in Point Clouds. - Tianyu Liu, Jie Lu, Zheng Yan, Guangquan Zhang:
PAC-Bayes Bounds for Meta-learning with Data-Dependent Prior. - Somil Gupta, Neeraj Sharma:
Role of Attentive History Selection in Conversational Information Seeking. - Lorenzo Ghiro, Francesco Restuccia, Salvatore D'Oro, Stefano Basagni, Tommaso Melodia, Leonardo Maccari, Renato Lo Cigno:
What is a Blockchain? A Definition to Clarify the Role of the Blockchain in the Internet of Things. - Hossein Ahmadvand, Fouzhan Foroutan, Mahmood Fathy:
DV-DVFS: Merging Data Variety and DVFS Technique to Manage the Energy Consumption of Big Data Processing. - YuSheng Su, Xu Han, Yankai Lin, Zhengyan Zhang, Zhiyuan Liu, Peng Li, Maosong Sun:
CSS-LM: A Contrastive Framework for Semi-supervised Fine-tuning of Pre-trained Language Models. - Emma Perracchione, Anna Maria Massone, Michele Piana:
Feature augmentation for the inversion of the Fourier transform with limited data. - Peng Zhao, Yu-Xiang Wang, Zhi-Hua Zhou:
Non-stationary Online Learning with Memory and Non-stochastic Control. - Royee Yosibash, Ram Zamir:
Coded Computing with Noise. - Andrea Iannelli, Urban Fasel, Roy S. Smith:
The Balanced Mode Decomposition Algorithm for Data-Driven LPV Low-Order Models of Aeroservoelastic Systems. - Ted Moskovitz, Jack Parker-Holder, Aldo Pacchiano, Michael Arbel:
Deep Reinforcement Learning with Dynamic Optimism. - Yue Pan, Pengchuan Xiao, Yujie He, Zhenlei Shao, Zesong Li:
MULLS: Versatile LiDAR SLAM via Multi-metric Linear Least Square. - Enzo Tartaglione, Andrea Bragagnolo, Francesco Odierna, Attilio Fiandrotti, Marco Grangetto:
SeReNe: Sensitivity based Regularization of Neurons for Structured Sparsity in Neural Networks. - Hadi S. Jomaa, Lars Schmidt-Thieme, Josif Grabocka:
Hyperparameter Optimization with Differentiable Metafeatures. - Zhen Liang, Rushuang Zhou, Li Zhang, Linling Li, Gan Huang, Zhiguo Zhang, Shin Ishii:
EEGFuseNet: Hybrid Unsupervised Deep Feature Characterization and Fusion for High-Dimensional EEG with An Application to Emotion Recognition. - Subhankar Ghosh:
Adversarial Training of Variational Auto-encoders for Continual Zero-shot Learning. - Simon Olofsson, Eduardo S. Schultz, Adel Mhamdi, Alexander Mitsos, Marc Peter Deisenroth, Ruth Misener:
Design of Dynamic Experiments for Black-Box Model Discrimination. - Rami Mochaourab, Sugandh Sinha, Stanley Greenstein, Panagiotis Papapetrou:
Robust Explanations for Private Support Vector Machines. - Ruobing Xie, Qi Liu, Shukai Liu, Ziwei Zhang, Peng Cui, Bo Zhang, Leyu Lin:
Improving Accuracy and Diversity in Matching of Recommendation with Diversified Preference Network. - Miguel Ruiz-Garcia, Ge Zhang, Samuel S. Schoenholz, Andrea J. Liu:
Tilting the playing field: Dynamical loss functions for machine learning. - Yu Han, Shizhan Lu, Haiyan Xu:
A self-adaptive and robust fission clustering algorithm via heat diffusion and maximal turning angle. - Subhradeep Kayal:
Unsupervised Sentence-embeddings by Manifold Approximation and Projection. - Akinari Onishi:
Brain-computer interface with rapid serial multimodal presentation using artificial facial images and voice. - Han Wang, Chen Wang, Lihua Xie:
Intensity-SLAM: Intensity Assisted Localization and Mapping for Large Scale Environment. - Ofir Nabati, Tom Zahavy, Shie Mannor:
Online Limited Memory Neural-Linear Bandits with Likelihood Matching. - Han Wang, Chen Wang, Lihua Xie:
Lightweight 3-D Localization and Mapping for Solid-State LiDAR. - Kailiang Wu:
Minimum Principle on Specific Entropy and High-Order Accurate Invariant Region Preserving Numerical Methods for Relativistic Hydrodynamics. - Mark Kozdoba, Shie Mannor:
Dimension Free Generalization Bounds for Non Linear Metric Learning. - Uri Sherman, Tomer Koren:
Lazy OCO: Online Convex Optimization on a Switching Budget. - Dongjiao He, Wei Xu, Fu Zhang:
Embedding manifold structures into Kalman filters. - Freya Behrens, Stefano Teso, Davide Mottin:
Bandits for Learning to Explain from Explanations. - Pranav U. Gadikar, Patrick Diehl, Prashant K. Jha:
Load balancing for distributed nonlocal models within asynchronous many-task systems. - Jason P. Bell, Jeffrey O. Shallit:
Lie complexity of words. - Mirco Giacobbe, Daniel Kroening, Julian Parsert:
Neural Termination Analysis. - Renchi Yang, Jieming Shi, Yin Yang, Keke Huang, Shiqi Zhang, Xiaokui Xiao:
Effective and Scalable Clustering on Massive Attributed Graphs. - Utkarsh Desai, Sambaran Bandyopadhyay, Srikanth Tamilselvam:
Graph Neural Network to Dilute Outliers for Refactoring Monolith Application. - Jincheng Dai, Kailin Tan, Zhongwei Si, Kai Niu, Mingzhe Chen, H. Vincent Poor, Shuguang Cui:
Learning to Decode Protograph LDPC Codes. - Alireza Fallah, Aryan Mokhtari, Asuman E. Ozdaglar:
Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks. - Chiara Ravazzi, Giacomo Como, Michele Garetto, Emilio Leonardi, Alberto Tarable:
Asynchronous semi-anonymous dynamics over large-scale networks. - (Withdrawn) Estimate The Efficiency Of Multiprocessor's Cash Memory Work Algorithms.
- Tingting Zeng, Prabir Barooah:
An adaptive MPC scheme for energy-efficient control of building HVAC systems. - Siddharth Gupta, Meirav Zehavi:
Multivariate Analysis of Scheduling Fair Competitions. - Zaharah Allah Bukhsh, Nils Jansen, Aaqib Saeed:
Damage detection using in-domain and cross-domain transfer learning. - Matteo Saveriano, Fares J. Abu-Dakka, Aljaz Kramberger, Luka Peternel:
Dynamic Movement Primitives in Robotics: A Tutorial Survey. - Dave Dice, Alex Kogan:
Hemlock : Compact and Scalable Mutual Exclusion. - Youngmin Oh, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Model-Augmented Q-learning. - Muhammad Firoz Mridha, Abu Quwsar Ohi, M. Ameer Ali, Muhammad Mostafa Monowar, Md. Abdul Hamid:
U-vectors: Generating clusterable speaker embedding from unlabeled data. - Tristan Deleu, Yoshua Bengio:
Structured Sparsity Inducing Adaptive Optimizers for Deep Learning. - Punyajoy Saha, Binny Mathew, Kiran Garimella, Animesh Mukherjee:
"Short is the Road that Leads from Fear to Hate": Fear Speech in Indian WhatsApp Groups. - Wlodek W. Zadrozny:
A Note on Argumentative Topology: Circularity and Syllogisms as Unsolved Problems. - Allen Bao, Marshall Ho, Saarthak Sangamnerkar:
Spoiler Alert: Using Natural Language Processing to Detect Spoilers in Book Reviews. - Yazan K. Qarout, Yordan P. Raykov, Max A. Little:
Few-shot time series segmentation using prototype-defined infinite hidden Markov models. - Minfang Lu, Fengyang Sun, Lin Wang, Bo Yang, Shuangrong Liu:
Black-Box Optimization via Generative Adversarial Nets. - Jonathan de Matos, Steve Tsham Mpinda Ataky, Alceu de Souza Britto Jr., Luiz Eduardo Soares de Oliveira, Alessandro Lameiras Koerich:
Machine Learning Methods for Histopathological Image Analysis: A Review. - Minh-Quan Tran, Ahmed S. Zamzam, Phuong H. Nguyen:
Enhancement of Distribution System State Estimation Using Pruned Physics-Aware Neural Networks. - Simon Zhuang, Dylan Hadfield-Menell:
Consequences of Misaligned AI. - Chetan L. Srinidhi, Seung Wook Kim, Fu-Der Chen, Anne L. Martel:
Self-supervised driven consistency training for annotation efficient histopathology image analysis. - Rodolfo Quispe, Cuiling Lan, Wenjun Zeng, Hélio Pedrini:
AttributeNet: Attribute Enhanced Vehicle Re-Identification. - Yunyang Xiong, Zhanpeng Zeng, Rudrasis Chakraborty, Mingxing Tan, Glenn Fung, Yin Li, Vikas Singh:
Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention. - Samuel Epstein:
Quantum Algorithmic Information Theory. - Emmanouel T. Michailidis, Nikolaos I. Miridakis, Angelos Michalas, Emmanouil Skondras, Dimitrios J. Vergados, Dimitrios D. Vergados:
Energy Optimization in Massive MIMO UAV-Aided MEC-Enabled Vehicular Networks. - Yufan Zhou, Zhenyi Wang, Jiayi Xian, Changyou Chen, Jinhui Xu:
Meta-Learning with Neural Tangent Kernels. - Shangyu Xie, Bingyu Liu, Yuan Hong:
Privacy-preserving Cloud-based DNN Inference. - Scott Cheng-Hsin Yang, Wai Keen Vong, Ravi B. Sojitra, Tomas Folke, Patrick Shafto:
Mitigating belief projection in explainable artificial intelligence via Bayesian Teaching. - Roman Malashin:
Sparsely ensembled convolutional neural network classifiers via reinforcement learning. - Aleksey Fedoseev, Valerii Serpiva, Ekaterina Karmanova, Miguel Altamirano Cabrera, Vladimir Shirokun, Iakov Vasilev, Stanislav Savushkin, Dzmitry Tsetserukou:
DroneTrap: Drone Catching in Midair by Soft Robotic Hand with Color-Based Force Detection and Hand Gesture Recognition. - Anthony Sicilia, Xingchen Zhao, Seong Jae Hwang:
Domain Adversarial Neural Networks for Domain Generalization: When It Works and How to Improve. - Kaiyi Ji, Yingbin Liang:
Lower Bounds and Accelerated Algorithms for Bilevel Optimization. - Thomas Hardjono:
Blockchain Gateways, Bridges and Delegated Hash-Locks. - Mario Sznaier:
A Convex Optimization Approach to Learning Koopman Operators. - Nikolaos Zioulis, Federico Alvarez, Dimitrios Zarpalas, Petros Daras:
Single-Shot Cuboids: Geodesics-based End-to-end Manhattan Aligned Layout Estimation from Spherical Panoramas. - Eva Cetinic:
Iconographic Image Captioning for Artworks. - M. Andrecut:
Additive Feature Hashing. - Trenton Ford, Rachel Krohn, Tim Weninger:
Competition Dynamics in the Meme Ecosystem. - Eduardo Velloso, Carlos Hitoshi Morimoto:
A Probabilistic Interpretation of Motion Correlation Selection Techniques. - Ivine Kuruvila, Jan Muncke, Eghart Fischer, Ulrich Hoppe:
Extracting the Locus of Attention at a Cocktail Party from Single-Trial EEG using a Joint CNN-LSTM Model. - Tsuyoshi Yoshida, Koji Igarashi, Magnus Karlsson, Erik Agrell:
Compressed Shaping: Concept and FPGA Demonstration. - Siyu Liao, Chunhua Deng, Miao Yin, Bo Yuan:
Doubly Residual Neural Decoder: Towards Low-Complexity High-Performance Channel Decoding. - Fanxu Meng:
Quantum Algorithm for DOA Estimation in Hybrid Massive MIMO. - Tai Liu, Zain Tariq, Barath Raghavan, Jay Chen:
Migration in the Stencil Pluralist Cloud Architecture. - Rafael Castillo-Sierra, Giri Venkataramanan:
A Comparative Evaluation of Power Converter Circuits to Increase the Power Transfer Capability of High Voltage Transmission Lines. - An Xu, Heng Huang:
Double Momentum SGD for Federated Learning. - Xin Zhao, Lin Wang, Jifeng Guo, Bo Yang, Junteng Zheng, Fanqi Li:
Solid Texture Synthesis using Generative Adversarial Networks. - Harbir Antil, Howard C. Elman, Akwum Onwunta, Deepanshu Verma:
Novel Deep neural networks for solving Bayesian statistical inverse. - Shuvayan Banerjee, Radhe Srivastava, Ajit Rajwade:
Reconstruction of Sparse Signals under Gaussian Noise and Saturation. - Koh Takeuchi:
Ryo Nishida: Hisashi Kashima: Masaki Onishi: Grab the Reins of Crowds: Estimating the Effects of Crowd Movement Guidance Using Causal Inference. - Jinjiang Guo, Vincent Vidal, Irene Cheng, Anup Basu, Atilla Baskurt, Guillaume Lavoué:
Subjective and Objective Visual Quality Assessment of Textured 3D Meshes. - Zhiqiang Shen, Zechun Liu, Jie Qin, Marios Savvides, Kwang-Ting Cheng:
Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning. - Guangming Yao, Yi Yuan, Tianjia Shao, Shuang Li, Shanqi Liu, Yong Liu, Mengmeng Wang, Kun Zhou:
One-shot Face Reenactment Using Appearance Adaptive Normalization. - Erik Blasch, James Sung, Tao Nguyen:
Multisource AI Scorecard Table for System Evaluation. - Jiantao Wu, Lin Wang, Chunxiuzi Liu:
DEFT: Distilling Entangled Factors. - Dongning Ma, Meltem Izzetoglu, Roee Holtzer, Xun Jiao:
Machine Learning-based Classification of Active Walking Tasks in Older Adults using fNIRS. - Xiangming Meng, Tomoyuki Obuchi, Yoshiyuki Kabashima:
Ising Model Selection Using 𝓁1-Regularized Linear Regression. - Haishan Ye, Tong Zhang:
DeEPCA: Decentralized Exact PCA with Linear Convergence Rate. - Zhenlong Li, Xiao Huang, Xinyue Ye, Yuqin Jiang, Yago Martin, Huan Ning, Michael E. Hodgson, Xiaoming Li:
Measuring Place Connectivity Using Big Social Media Data. - Babak Maser, Andreas Uhl:
Identifying the Origin of Finger Vein Samples Using Texture Descriptors. - Ruiqi Chen, Atiqul Islam, Tom Gedeon, Md. Zakir Hossain:
Observers Pupillary Responses in Recognising Real and Posed Smiles: A Preliminary Study. - Hayden Cheers, Yuqing Lin, Shamus P. Smith:
Academic Source Code Plagiarism Detection by Measuring Program Behavioural Similarity. - Hayden Cheers, Yuqing Lin, Shamus P. Smith:
Evaluating the robustness of source code plagiarism detection tools to pervasive plagiarism-hiding modifications. - Obed Rhesa Ludwiniananda, Ning Liu, Khoirul Anwar, Brian M. Kurkoski:
Design of Polar Code Lattices of Small Dimension. - Haoang Chi, Feng Liu, Wenjing Yang, Long Lan, Tongliang Liu, Gang Niu, Bo Han:
Meta Discovery: Learning to Discover Novel Classes given Very Limited Data. - Seungwoong Ha, Hawoong Jeong:
Discovering conservation laws from trajectories via machine learning. - Di Wu, Liang Ding, Shuo Yang, Dacheng Tao:
SLUA: A Super Lightweight Unsupervised Word Alignment Model via Cross-Lingual Contrastive Learning. - Aojun Zhou, Yukun Ma, Junnan Zhu, Jianbo Liu, Zhijie Zhang, Kun Yuan, Wenxiu Sun, Hongsheng Li:
Learning N: M Fine-grained Structured Sparse Neural Networks From Scratch. - ShangBei Wang:
From Matching Logic To Parallel Imperative Language Verification. - Rohit Kumar Sachan, Dharmender Singh Kushwaha:
Nature-Inspired Optimization Algorithms: Research Direction and Survey. - Trung Nguyen, Quang-Hieu Pham, Tam Le, Tung Pham, Nhat Ho, Binh-Son Hua:
Point-set Distances for Learning Representations of 3D Point Clouds. - Osman Tursun, Simon Denman, Sridha Sridharan, Ethan Goan, Clinton Fookes:
An Efficient Framework for Zero-Shot Sketch-Based Image Retrieval. - Mateen Ulhaq, Ivan V. Bajic:
Analysis of Latent-Space Motion for Collaborative Intelligence. - Yi-Lin Tuan, Ahmed El-Kishky, Adithya Renduchintala, Vishrav Chaudhary, Francisco Guzmán, Lucia Specia:
Quality Estimation without Human-labeled Data. - Luca Marzari, Ameya Pore, Diego Dall'Alba, Gerardo Aragon-Camarasa, Alessandro Farinelli, Paolo Fiorini:
Towards Hierarchical Task Decomposition using Deep Reinforcement Learning for Pick and Place Subtasks. - Scott Sun, Dennis Melamed, Kris Kitani:
IDOL: Inertial Deep Orientation-Estimation and Localization. - Martin Damrath, Peter Adam Hoeher:
Max-log APP Detection for Non-bijective Symbol Constellations. - Dibyendu Mishra, Syeda Zainab Akbar, Arshia Arya, Saloni Dash, Rynaa Grover, Joyojeet Pal:
Rihanna versus Bollywood: Twitter Influencers and the Indian Farmers' Protest. - Shiyao Wang, Qi Liu, Tiezheng Ge, Defu Lian, Zhiqiang Zhang:
A Hybrid Bandit Model with Visual Priors for Creative Ranking in Display Advertising. - Andrew W. Palmer, Albi Sema, Wolfram Martens, Peter Rudolph, Wolfgang Waizenegger:
The Autonomous Siemens Tram. - Lijuan Liu, Yin Yang, Yi Yuan, Tianjia Shao, He Wang, Kun Zhou:
In-game Residential Home Planning via Visual Context-aware Global Relation Learning. - Yuanzhi Liu, Yujia Fu, Fengdong Chen, Bart Goossens, Wei Tao, Hui Zhao:
Datasets and Evaluation for Simultaneous Localization and Mapping Related Problems: A Comprehensive Survey. - Renqian Luo, Xu Tan, Rui Wang, Tao Qin, Jinzhu Li, Sheng Zhao, Enhong Chen, Tie-Yan Liu:
LightSpeech: Lightweight and Fast Text to Speech with Neural Architecture Search. - Cheng-Yu Pai, Chao-Yu Chen:
Two-Dimensional Golay Complementary Array Sets from Generalized Boolean Functions. - Hongbo Bi, Zi-Qi Liu, Kang Wang, Bo Dong, Geng Chen, Jiquan Ma:
Towards Accurate RGB-D Saliency Detection with Complementary Attention and Adaptive Integration. - Tom Hess, Michal Moshkovitz, Sivan Sabato:
A Constant Approximation Algorithm for Sequential No-Substitution k-Median Clustering under a Random Arrival Order. - Yota Ueda, Kazuki Fujii, Yuki Saito, Shinnosuke Takamichi, Yukino Baba, Hiroshi Saruwatari:
HumanACGAN: conditional generative adversarial network with human-based auxiliary classifier and its evaluation in phoneme perception. - Micah Corah:
Sensor Planning for Large Numbers of Robots. - Chenxing Li, Jiaming Xu, Nima Mesgarani, Bo Xu:
Speaker and Direction Inferred Dual-channel Speech Separation. - Apostolos Modas, Alessio Xompero, Ricardo Sanchez-Matilla, Pascal Frossard, Andrea Cavallaro:
Improving filling level classification with adversarial training. - Maxime Ferrera, Alexandre Eudes, Julien Moras, Martial Sanfourche, Guy Le Besnerais:
OV2SLAM : A Fully Online and Versatile Visual SLAM for Real-Time Applications. - Fu-Shun Hsu, Shang-Ran Huang, Chien-Wen Huang, Yuan-Ren Cheng, Chun-Chieh Chen, Jack Hsiao, Chung-Wei Chen, Feipei Lai:
An Update of a Progressively Expanded Database for Automated Lung Sound Analysis. - Alex Auvolat, Yérom-David Bromberg, Davide Frey, François Taïani:
BASALT: A Rock-Solid Foundation for Epidemic Consensus Algorithms in Very Large, Very Open Networks. - Dawei Leng, Jinjiang Guo, Lurong Pan, Jie Li, Xinyu Wang:
Enhance Information Propagation for Graph Neural Network by Heterogeneous Aggregations. - Yang Wei, Yuanbin Wu, Man Lan:
In-Order Chart-Based Constituent Parsing. - Christian van Onzenoodt, Gurprit Singh, Timo Ropinski, Tobias Ritschel:
Blue Noise Plots. - Marcus Hutter:
Learning Curve Theory. - Kai Chen, Qi Lv, Taihe Yi, Zhengming Yi:
Reliable Probabilistic Face Embeddings in the Wild. - (Withdrawn) OntoEnricher: A Deep Learning Approach for Ontology Enrichment from Unstructured Text.
- Elias Jarlebring, Siobhán Correnty:
Infinite GMRES for parameterized linear systems. - Elena Luna, Juan C. SanMiguel, José M. Martínez, Marcos Escudero-Viñolo:
Online Clustering-based Multi-Camera Vehicle Tracking in Scenarios with overlapping FOVs. - Abdelamin Laouar, Isma Bouchemakh, Éric Sopena:
On the Broadcast Independence Number of Circulant Graphs. - Yingtao Luo, Qiang Liu, Zhaocheng Liu:
STAN: Spatio-Temporal Attention Network for Next Location Recommendation. - Onno Eberhard, Torsten Zesch:
Effects of Layer Freezing when Transferring DeepSpeech to New Languages. - Hélène Fargier, Jérôme Mengin:
A Knowledge Compilation Map for Conditional Preference Statements-based Languages. - Betty van Aken, Jens-Michalis Papaioannou, Manuel Mayrdorfer, Klemens Budde, Felix A. Gers, Alexander Löser:
Clinical Outcome Prediction from Admission Notes using Self-Supervised Knowledge Integration. - Andrea Zugarini, Luca Pasqualini, Stefano Melacci, Marco Maggini:
Generate and Revise: Reinforcement Learning in Neural Poetry. - Georg Ahnert, Ivan Smirnov, Florian Lemmerich, Claudia Wagner, Markus Strohmaier:
The FairCeptron: A Framework for Measuring Human Perceptions of Algorithmic Fairness. - D. Fompeyrine, E. S. Vorm, N. Ricka, F. Rose, G. Pellegrin:
Enhancing Human-Machine Teaming for Medical Prognosis Through Neural Ordinary Differential Equations (NODEs). - Yijie Guo, Mingguo Zhao:
Fast Online Planning for Bipedal Locomotion via Centroidal Model Predictive Gait Synthesis. - Stefano De Marchi, Giacomo Elefante, Francesco Marchetti:
On (β, γ)-Chebyshev functions and points of the interval. - Hannah Kirk, Yennie Jun, Haider Iqbal, Elias Benussi, Filippo Volpin, Frédéric A. Dreyer, Aleksandar Shtedritski, Yuki Markus Asano:
How True is GPT-2? An Empirical Analysis of Intersectional Occupational Biases. - Michelle Muniz, Matthias Ehrhardt, Michael Günther, Renate Winkler:
Higher Strong Order Methods for Itô SDEs on Matrix Lie Groups. - Jiachen Hu, Xiaoyu Chen, Chi Jin, Lihong Li, Liwei Wang:
Near-optimal Representation Learning for Linear Bandits and Linear RL. - Joël Bachmann, Kenneth Blomqvist, Julian Förster, Roland Siegwart:
Points2Vec: Unsupervised Object-level Feature Learning from Point Clouds. - Tommaso Sorgente, Silvia Biasotti, Gianmarco Manzini, Michela Spagnuolo:
The role of mesh quality and mesh quality indicators in the Virtual Element Method. - Ali Ghofrani, Rahil Mahdian Toroghi, Seyed Mojtaba Tabatabaie:
APS: A Large-Scale Multi-Modal Indoor Camera Positioning System. - Xinlei He, Yang Zhang:
Quantifying and Mitigating Privacy Risks of Contrastive Learning. - Angelos-Christos G. Anadiotis, Oana Balalau, Théo Bouganim, Francesco Chimienti, Helena Galhardas, Mhd Yamen Haddad, Stephane Horel, Ioana Manolescu, Youssr Youssef:
Empowering Investigative Journalism with Graph-based Heterogeneous Data Management. - Bruno D. Abrahao, Zheng Wang, Haider Ahmed, Yuchen Zhu:
Model Rectification via Unknown Unknowns Extraction from Deployment Samples. - Rongrong Liu, Florent Nageotte, Philippe Zanne, Michel de Mathelin, Birgitta Dresp-Langley:
Deep Reinforcement Learning for the Control of Robotic Manipulation: A Focussed Mini-Review. - Ömer Faruk Tuna, Ferhat Özgür Çatak, Mustafa Taner Eskil:
Exploiting epistemic uncertainty of the deep learning models to generate adversarial samples. - Jan Hendrik Metzen, Maksym Yatsura:
Efficient Certified Defenses Against Patch Attacks on Image Classifiers. - Bertrand Teguia Tabuguia, Wolfram Koepf:
Symbolic computation of hypergeometric type and non-holonomic power series. - Wei Fang, Zhaofei Yu, Timothée Masquelier, Yanqi Chen, Tiejun Huang, Yonghong Tian:
Spike-based Residual Blocks. - Ivan Sekulic, Mohammad Aliannejadi, Fabio Crestani:
User Engagement Prediction for Clarification in Search. - V. Domínguez, M. Ganesh:
Analysis and application of an overlapped FEM-BEM for wave propagation in unbounded and heterogeneous media. - Kefan Dong, Jiaqi Yang, Tengyu Ma:
Provable Model-based Nonlinear Bandit and Reinforcement Learning: Shelve Optimism, Embrace Virtual Curvature. - Johannes Jakubik, Adrian Binding, Stefan Feuerriegel:
Directed particle swarm optimization with Gaussian-process-based function forecasting. - Aurélien Nioche, Pierre-Alexandre Murena, Carlos de la Torre-Ortiz, Antti Oulasvirta:
Improving Artificial Teachers by Considering How People Learn and Forget. - Nuno M. Rodrigues, João E. Batista, Leonardo Trujillo, Bernardo Duarte, Mario Giacobini, Leonardo Vanneschi, Sara Silva:
Plotting time: On the usage of CNNs for time series classification. - Guillaume Moroz:
Fast real and complex root-finding methods for well-conditioned polynomials. - Eleonora Guerrini, Romain Lebreton, Ilaria Zappatore:
Polynomial Linear System Solving with Random Errors: new bounds and early termination technique. - Luiz F. Afra Brito, Marcelo Keese Albertini, Arnaud Casteigts, Bruno A. N. Travençolo:
A Dynamic Data Structure for Temporal Reachability with Unsorted Contact Insertions. - Dave Dice, Alex Kogan:
Compact Java Monitors. - Alaa Abd Elhamid Radwan, Mohammad Tabrez Quasim:
Toward Semantic Representation of Middleware Services. - Vinod S. Khandkar, Manjesh Kumar Hanawal:
Challenges in Net Neutrality Violation Detection: A Case Study of Wehe Tool. - Andong Li, Wenzhe Liu, Xiaoxue Luo, Chengshi Zheng, Xiaodong Li:
ICASSP 2021 Deep Noise Suppression Challenge: Decoupling Magnitude and Phase Optimization with a Two-Stage Deep Network. - Jaehun Ryu, Hyojin Sung:
MetaTune: Meta-Learning Based Cost Model for Fast and Efficient Auto-tuning Frameworks. - Olivier Rioul:
Variations on a Theme by Massey. - Jennifer Cobbe, Michelle Seng Ah Lee, Jatinder Singh:
Reviewable Automated Decision-Making: A Framework for Accountable Algorithmic Systems. - Dario Ortega Anderez, Eiman Kanjo, Amna Anwar, Shane D. Johnson, David Lucy:
The Rise of Technology in Crime Prevention: Opportunities, Challenges and Practitioners Perspectives. - Minghao Wang, Paolo Mengoni:
How Pandemic Spread in News: Text Analysis Using Topic Model. - Shreekanth M. Prabhu:
Transforming India's Agricultural Sector using Ontology-based Tantra Framework. - Daniel Hesslow, Iacopo Poli:
Contrastive Embeddings for Neural Architectures. - Michael T. Stuart, Markus Kneer:
Guilty Artificial Minds. - Dimitri Ognibene, Davide Taibi, Udo Kruschwitz, Rodrigo Souza Wilkens, Davinia Hernández-Leo, Emily Theophilou, Lidia Scifo, Rene Alejandro Lobo Quintero, Francesco Lomonaco, Sabrina C. Eimler, Heinz Ulrich Hoppe, Nils Malzahn:
Challenging Social Media Threats using Collective Well-being Aware Recommendation Algorithms and an Educational Virtual Companion. - Abigale Kim, Fateme Nikseresht, Janine M. Dutcher, Michael J. Tumminia, Daniella K. Villalba, Sheldon Cohen, Kasey Creswel, J. David Creswell, Anind K. Dey, Jennifer Mankoff, Afsaneh Doryab:
Understanding health and behavioral trends of successful students through machine learning models. - Peter Mantello, Manh-Tung Ho, Minh Hoang Nguyen, Quan-Hoang Vuong:
My Boss the Computer: A Bayesian analysis of socio-demographic and cross-cultural determinants of attitude toward the Non-Human Resource Management. - Gabriele Sottocornola, Fabio Stella, Markus Zanker:
Counterfactual Contextual Multi-Armed Bandit: a Real-World Application to Diagnose Apple Diseases. - Jamie Harris, Jacy Reese Anthis:
The Moral Consideration of Artificial Entities: A Literature Review. - Anusha Bompelli, Yanshan Wang, Ruyuan Wan, Esha Singh, Yuqi Zhou, Lin Xu, David Oniani, Bhavani Singh Agnikula Kshatriya, Joyce E. Balls-Berry, Rui Zhang:
Social determinants of health in the era of artificial intelligence with electronic health records: A systematic review. - Rajvardhan Oak:
The Fault in the Stars: Understanding the Underground Market of Amazon Reviews. - Zhengyao Jiang, Pasquale Minervini, Minqi Jiang, Tim Rocktäschel:
Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning. - Bran Knowles, John T. Richards:
The Sanction of Authority: Promoting Public Trust in AI. - Shoffan Saifullah:
Fuzzy-AHP approach using Normalized Decision Matrix on Tourism Trend Ranking based-on Social Media. - Yonghyun Kim, Wonpyo Park:
Multi-level Distance Regularization for Deep Metric Learning. - David Cohen, Annika Lang:
Numerical approximation and simulation of the stochastic wave equation on the sphere. - Yuanpeng Li:
Concepts, Properties and an Approach for Compositional Generalization. - Yue Zhu, Yunjie Gu, Yitong Li, Timothy C. Green:
Participation Analysis in Impedance Models: The Grey-Box Approach for Power System Stability. - Victor von Wachter, Johannes Rude Jensen, Omri Ross:
Measuring Asset Composability as a Proxy for Ecosystem Integration. - Jia Li, Mengzhou Liu, Honglei Zhang, Pengyun Wang, Yong Wen, Lujia Pan, Hong Cheng:
Mask-GVAE: Blind Denoising Graphs via Partition. - Vadim Liventsev, Aki Härmä, Milan Petkovic:
Neurogenetic Programming Framework for Explainable Reinforcement Learning. - Elija Perrier:
Computability, Complexity, Consistency and Controllability: A Four C's Framework for cross-disciplinary Ethical Algorithm Research. - Fernando Almeida, José A. Monteiro:
The Challenges of Assessing and Evaluating the Students at Distance. - Yuta Sakurai, Yutaka Hori:
Interval Analysis of Worst-case Stationary Moments for Stochastic Chemical Reactions with Uncertain Parameters. - Mohammad R. Rezaei:
Amazon Product Recommender System. - Barbara Schütt, Thilo Braun, Stefan Otten, Eric Sax:
SceML - A Graphical Modeling Framework for Scenario-based Testing of Autonomous Vehicles. - Lhouari Nourine, Simon Vilmin:
Enumerating maximal consistent closed sets in closure systems. - Erico Tjoa, Cuntai Guan:
Convolutional Neural Network Interpretability with General Pattern Theory. - Duc Kinh Le Tran:
Riiid! Answer Correctness Prediction Kaggle Challenge: 4th Place Solution Summary. - Mahzabeen Emu, Dhivya Chandrasekaran, Vijay Mago, Salimur Choudhury:
Validating Optimal COVID-19 Vaccine Distribution Models. - Tianfan Fu, Kexin Huang, Cao Xiao, Lucas M. Glass, Jimeng Sun:
HINT: Hierarchical Interaction Network for Trial Outcome Prediction Leveraging Web Data. - Sebastian Gonzalez, Davide Salvi, Daniel Baeza, Fabio Antonacci, Augusto Sarti:
A Data-Driven Approach to Violin Making. - McKane Andrus, Sarah Dean, Thomas Krendl Gilbert, Nathan Lambert, Tom Zick:
AI Development for the Public Interest: From Abstraction Traps to Sociotechnical Risks. - Jack Bandy:
Problematic Machine Behavior: A Systematic Literature Review of Algorithm Audits. - Nenad Tomasev, Kevin R. McKee, Jackie Kay, Shakir Mohamed:
Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities. - Dan Halperin, Micha Sharir, Itay Yehuda:
Throwing a Sofa Through the Window. - David A. Noever, Samantha E. Miller Noever:
Overhead MNIST: A Benchmark Satellite Dataset. - Erwei Wang, James J. Davis, Daniele Moro, Piotr Zielinski, Claudionor Coelho, Satrajit Chatterjee, Peter Y. K. Cheung, George A. Constantinides:
Enabling Binary Neural Network Training on the Edge. - Yuqi Cui, Dongrui Wu, Yifan Xu:
Curse of Dimensionality for TSK Fuzzy Neural Networks: Explanation and Solutions. - Behrooz Razeghi, Sohrab Ferdowsi, Dimche Kostadinov, Flávio P. Calmon, Slava Voloshynovskiy:
Privacy-Preserving Near Neighbor Search via Sparse Coding with Ambiguation. - Hanlin Lu, Ting He, Shiqiang Wang, Changchang Liu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris:
Communication-efficient k-Means for Edge-based Machine Learning. - James Gleeson, Srivatsan Krishnan, Moshe Gabel, Vijay Janapa Reddi, Eyal de Lara, Gennady Pekhimenko:
RL-Scope: Cross-Stack Profiling for Deep Reinforcement Learning Workloads. - Antonio Guerriero, Roberto Pietrantuono, Stefano Russo:
Operation is the hardest teacher: estimating DNN accuracy looking for mispredictions. - Nikita Korzhitskii, Niklas Carlsson:
Revocation Statuses on the Internet. - Shawn Shan, Arjun Nitin Bhagoji, Haitao Zheng, Ben Y. Zhao:
A Real-time Defense against Website Fingerprinting Attacks. - Maurice Margenstern:
A strongly universal cellular automaton on the heptagrid with seven states. - Miguel Sozinho Ramalho:
High-level Approaches to Detect Malicious Political Activity on Twitter. - Pei-Chang Guo:
Regularization for convolutional kernel tensors to avoid unstable gradient problem in convolutional neural networks. - Xingyu Wang, Sewoong Oh, Chang-Han Rhee:
Eliminating Sharp Minima from SGD with Truncated Heavy-tailed Noise. - Dario A. Bini, Bruno Iannazzo, Jie Meng:
Geometric means of quasi-Toeplitz matrices. - Nipun Aggarwal, Sanjay Kumar:
Identifying Influential Nodes in Weighted Networks using k-shell based HookeRank Algorithm. - Jieneng Chen, Yongyi Lu, Qihang Yu, Xiangde Luo, Ehsan Adeli, Yan Wang, Le Lu, Alan L. Yuille, Yuyin Zhou:
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation. - Alper Kamil Bozkurt, Yu Wang, Miroslav Pajic:
Learning Optimal Strategies for Temporal Tasks in Stochastic Games. - Patrick Schmidt, Pavel Osinenko, Stefan Streif:
On inf-convolution-based robust practical stabilization under computational uncertainty. - Magnus Sahlgren, Fredrik Carlsson:
The Singleton Fallacy: Why Current Critiques of Language Models Miss the Point. - Markus Muhr, Vanja Nikolic, Barbara I. Wohlmuth:
A hybrid discontinuous Galerkin method for nonlinear elasto-acoustic coupling. - Henrik D. Mettler, Maximilian Schmidt, Walter Senn, Mihai A. Petrovici, Jakob Jordan:
Evolving Neuronal Plasticity Rules using Cartesian Genetic Programming. - Shuquan Ye, Dongdong Chen, Songfang Han, Ziyu Wan, Jing Liao:
Meta-PU: An Arbitrary-Scale Upsampling Network for Point Cloud. - Yiping Cheng:
Derivation of the Backpropagation Algorithm Based on Derivative Amplification Coefficients. - Rahul Meshram, Kesav Kaza:
Monte Carlo Rollout Policy for Recommendation Systems with Dynamic User Behavior. - Pei Peng, Moslem Noori, Emina Soljanin:
Distributed Storage Allocations for Optimal Service Rates. - Tom Zahavy, André Barreto, Daniel J. Mankowitz, Shaobo Hou, Brendan O'Donoghue, Iurii Kemaev, Satinder Singh:
Discovering a set of policies for the worst case reward. - Dhruv Mauria Saxena, Muhammad Suhail Saleem, Maxim Likhachev:
Manipulation Planning Among Movable Obstacles Using Physics-Based Adaptive Motion Primitives. - Allan Borodin, Calum MacRury, Akash Rakheja:
Prophet Inequality Matching Meets Probing with Commitment. - Anurag Jain, Shoeb Siddiqui, Sujit Gujar:
We might walk together, but I run faster: Network Fairness and Scalability in Blockchains. - Ali Karimi, Ramin Toosi, Mohammad Ali Akhaee:
Soccer Event Detection Using Deep Learning. - Boris Düdder, Vladislav Fomin, Tan Gürpinar, Michael Henke, Philipp Asterios Ioannidis, Viktorija Janaviciene, Raimundas Matulevicius, Mubashar Iqbal, Natalia Straub:
BlockNet Report: Exploring the Blockchain Skills Concept and Best Practice Use Cases. - Radu Curticapean:
A full complexity dichotomy for immanant families. - Justin Tomasi, Brandon Wagstaff, Steven L. Waslander, Jonathan Kelly:
Learned Camera Gain and Exposure Control for Improved Visual Feature Detection and Matching. - Rui Yin, Zhiqun Zou, Celimuge Wu, Jiantao Yuan, Xianfu Chen, Guanding Yu:
Learning-based WiFi Traffic Load Estimation in NR-U Systems. - Paritosh Garg, Linus Jordan, Ola Svensson:
Semi-Streaming Algorithms for Submodular Matroid Intersection. - Karthik Muralidhar:
A Theoretical Answer to "Does the IRC-SINR of an Interference Rejection Combiner always Increase with an Increase in Number of Receive Antennas?". - Elan Markowitz, Keshav Balasubramanian, Mehrnoosh Mirtaheri, Sami Abu-El-Haija, Bryan Perozzi, Greg Ver Steeg, Aram Galstyan:
Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning. - Priyanka Ranade, Aritran Piplai, Sudip Mittal, Anupam Joshi, Tim Finin:
Generating Fake Cyber Threat Intelligence Using Transformer-Based Models. - Krzysztof Choromanski, Deepali Jain, Jack Parker-Holder, Xingyou Song, Valerii Likhosherstov, Anirban Santara, Aldo Pacchiano, Yunhao Tang, Adrian Weller:
Unlocking Pixels for Reinforcement Learning via Implicit Attention. - Chunhua Geng, Hua Sun, Syed Ali Jafar:
Multilevel Topological Interference Management: A TIM-TIN Perspective. - Rui Yin, Zhiqun Zou, Celimuge Wu, Jiantao Yuan, Xianfu Chen:
Distributed Spectrum and Power Allocation for D2D-U Networks: A Scheme based on NN and Federated Learning. - Raphaël Bulle, Jack S. Hale, Alexei Lozinski, Stéphane P. A. Bordas, Franz Chouly:
Hierarchical a posteriori error estimation of Bank-Weiser type in the FEniCS Project. - Daniel Stan, Anthony Widjaja Lin:
Regular Model Checking Approach to Knowledge Reasoning over Parameterized Systems (technical report). - Ding Sheng Ong, Chee Seng Chan, Kam Woh Ng, Lixin Fan, Qiang Yang:
Protecting Intellectual Property of Generative Adversarial Networks from Ambiguity Attack. - Mauro dos Santos de Arruda, Lucas Prado Osco, Plabiany Rodrigo Acosta, Diogo Nunes Gonçalves, José Marcato Junior, Ana Paula Marques Ramos, Edson Takashi Matsubara, Zhipeng Luo, Jonathan Li, Jonathan de Andrade Silva, Wesley Nunes Gonçalves:
Counting and Locating High-Density Objects Using Convolutional Neural Network. - Dinh Dung, Van Kien Nguyen:
High-dimensional nonlinear approximation by parametric manifolds in Hölder-Nikol'skii spaces of mixed smoothness. - Jared Tanner, Giuseppe Ughi:
Mutual Information of Neural Network Initialisations: Mean Field Approximations. - Yannis Flet-Berliac, Johan Ferret, Olivier Pietquin, Philippe Preux, Matthieu Geist:
Adversarially Guided Actor-Critic. - Shuting He, Hao Luo, Pichao Wang, Fan Wang, Hao Li, Wei Jiang:
TransReID: Transformer-based Object Re-Identification. - Georgios Chochlakis, Efthymios Georgiou, Alexandros Potamianos:
End-to-end Generative Zero-shot Learning via Few-shot Learning. - Haris Aziz, Florian Brandl:
Efficient, Fair, and Incentive-Compatible Healthcare Rationing. - Fabio A. González, Joseph Alejandro Gallego, Santiago Toledo-Cortés, Vladimir Vargas-Calderón:
Learning with Density Matrices and Random Features. - Augustine N. Mavor-Parker, Kimberly A. Young, Caswell Barry, Lewis D. Griffin:
Escaping Stochastic Traps with Aleatoric Mapping Agents. - Ilias Diakonikolas, Daniel M. Kane, Thanasis Pittas, Nikos Zarifis:
The Optimality of Polynomial Regression for Agnostic Learning under Gaussian Marginals. - Xueguang Lyu, Yuchen Xiao, Brett Daley, Christopher Amato:
Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning. - Ninad Gaikwad, Naren Srivaths Raman, Prabir Barooah:
Increasing Energy Resiliency to Hurricanes with Battery and Rooftop Solar Through Intelligent Control. - Jinfeng Lin, Yalin Liu, Qingkai Zeng, Meng Jiang, Jane Cleland-Huang:
Traceability Transformed: Generating more Accurate Links with Pre-Trained BERT Models. - Adam Van Etten, Daniel Hogan, Jesus Martinez-Manso, Jacob Shermeyer, Nicholas Weir, Ryan Lewis:
The Multi-Temporal Urban Development SpaceNet Dataset. - Ryan R. Strauss, Junier B. Oliva:
Arbitrary Conditional Distributions with Energy. - Austin P. Wright, Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Duen Horng Chau, Diyi Yang:
RECAST: Enabling User Recourse and Interpretability of Toxicity Detection Models with Interactive Visualization. - Xiaodong Cui, Songtao Lu, Brian Kingsbury:
Federated Acoustic Modeling For Automatic Speech Recognition. - Manoj Kumar, Dirk Weissenborn, Nal Kalchbrenner:
Colorization Transformer. - Ling Zou:
Understand Slope Limiter - Graphically. - Mohammad Esmaeili, Aria Nosratinia:
Community Detection: Exact Recovery in Weighted Graphs. - Adrian Bulat, Enrique Sánchez-Lozano, Georgios Tzimiropoulos:
Improving memory banks for unsupervised learning with large mini-batch, consistency and hard negative mining. - Justin Gould:
A Framework for Auditing Data Center Energy Usage and Mitigating Environmental Footprint. - John Kalung Leung, Igor Griva, William G. Kennedy:
Applying the Affective Aware Pseudo Association Method to Enhance the Top-N Recommendations Distribution to Users in Group Emotion Recommender Systems. - Valentin Khrulkov, Artem Babenko, Ivan V. Oseledets:
Functional Space Analysis of Local GAN Convergence. - Li Xiao, Zeliang Zhang, Yijie Peng:
Noise Optimization for Artificial Neural Networks. - Saumik Dana, Xiaoxi Zhao, Birendra Jha:
Two-grid method on unstructured tetrahedra: Applying computational geometry to staggered solution of coupled flow and mechanics problems. - Yonghao Song, Lie Yang, Xueyu Jia, Longhan Xie:
Common Spatial Generative Adversarial Networks based EEG Data Augmentation for Cross-Subject Brain-Computer Interface. - Alim Al Ayub Ahmed, Ayman Aljabouh, Praveen Kumar Donepudi, Myung Suh Choi:
Detecting Fake News Using Machine Learning : A Systematic Literature Review. - Iuliana Marin, Nicolae Goga:
Securing the Network for a Smart Bracelet System. - Albert Ryou, James Whitehead, Maksym Zhelyeznyakov, Paul Anderson, Cem Keskin, Michal Bajcsy, Arka Majumdar:
Free-space optical neural network based on thermal atomic nonlinearity. - Marzieh Shahmandi, Paul Wilson, Mike Thelwall:
A Bayesian Two-part Hurdle Quantile Regression Model for Citation Analysis. - Divyansh Jhunjhunwala, Advait Gadhikar, Gauri Joshi, Yonina C. Eldar:
Adaptive Quantization of Model Updates for Communication-Efficient Federated Learning. - Yiming Wang, Hang Lv, Daniel Povey, Lei Xie, Sanjeev Khudanpur:
Wake Word Detection with Streaming Transformers. - Radia Rayan Chowdhury, Mir Tafseer Nayeem, Tahsin Tasnim Mim, Md. Saifur Rahman Chowdhury, Taufiqul Jannat:
Unsupervised Abstractive Summarization of Bengali Text Documents. - Bingni Guo, Jiawang Nie, Zi Yang:
Learning Diagonal Gaussian Mixture Models and Incomplete Tensor Decompositions. - Steve Dai, Rangharajan Venkatesan, Haoxing Ren, Brian Zimmer, William J. Dally, Brucek Khailany:
VS-Quant: Per-vector Scaled Quantization for Accurate Low-Precision Neural Network Inference. - Boliang Zhang, Ying Lyu, Ning Ding, Tianhao Shen, Zhaoyang Jia, Kun Han, Kevin Knight:
A Hybrid Task-Oriented Dialog System with Domain and Task Adaptive Pretraining. - Will Grathwohl, Kevin Swersky, Milad Hashemi, David Duvenaud, Chris J. Maddison:
Oops I Took A Gradient: Scalable Sampling for Discrete Distributions. - Aryan Mahindra, Chandan CV, Priyanshi Katiyar, Anshuman Sharma, Sheshank Shankar, Rohan Sukumaran, Saurish Srivastava, Armaan Bhojwani, Rohan Iyer, Ishaan Singh, Ramesh Raskar:
comparing card-based vaccine credential systems with app-based vaccine credential systems. - Delaram Kahrobaei, Mima Stanojkovski:
Cryptographic multilinear maps using pro-p groups. - Nisar Ahmed, Hafiz Muhammad Shahzad Asif, Gulshan Saleem:
Leaf Image-based Plant Disease Identification using Color and Texture Features. - Alex Lu, Aleksandr Lukatskiy, Zhiqi Zhong, John G. Allen:
Power Off! Challenges in Planning and Executing Power Isolations on Shared-Use Electrified Railways. - Forest Agostinelli, Alexander Shmakov, Stephen McAleer, Roy Fox, Pierre Baldi:
A* Search Without Expansions: Learning Heuristic Functions with Deep Q-Networks. - Mahdi Cheraghchi, Ryan Gabrys, Olgica Milenkovic:
Semiquantitative Group Testing in at Most Two Rounds. - Chrysoula Themeli, George Giannakopoulos, Nikiforos Pittaras:
A study of text representations in Hate Speech Detection. - Timo M. Deist, Monika Grewal, Frank J. W. M. Dankers, Tanja Alderliesten, Peter A. N. Bosman:
Multi-Objective Learning to Predict Pareto Fronts Using Hypervolume Maximization. - Markus Kneer, Michael T. Stuart:
Playing the Blame Game with Robots. - Daniel Frisch, Uwe D. Hanebeck:
Deterministic Sampling on the Circle using Projected Cumulative Distributions. - Ran Cheng, Ryan Razani, Ehsan Taghavi, Enxu Li, Bingbing Liu:
(AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network. - Yuting Yang, Connelly Barnes, Adam Finkelstein:
Learning from Shader Program Traces. - Bianca Zadrozny, Campbell D. Watson, Daniela Szwarcman, Daniel Civitarese, Dário A. B. Oliveira, Eduardo Rodrigues, Jorge Guevara Diaz:
A modular framework for extreme weather generation. - Till Fluschnik, Leon Kellerhals:
Placing Green Bridges Optimally, with a Multivariate Analysis. - Chen-Yu Wei, Chung-Wei Lee, Mengxiao Zhang, Haipeng Luo:
Last-iterate Convergence of Decentralized Optimistic Gradient Descent/Ascent in Infinite-horizon Competitive Markov Games. - Rahul Chandan, Dario Paccagnan, Jason R. Marden:
Tractable mechanisms for computing near-optimal utility functions. - Magnús M. Halldórsson, Alexandre Nolin:
Superfast Coloring in CONGEST via Efficient Color Sampling. - Mathew Alex:
Quantum Technologies: A Review of the Patent Landscape. - Debjit Pal, Shobha Vasudevan:
Feature Engineering for Scalable Application-Level Post-Silicon Debugging. - Muhammad Anshari:
E-Health Management Services in Supporting Empowerment. - Henrietta Lyons, Eduardo Velloso, Tim Miller:
Designing for Contestation: Insights from Administrative Law. - Jakob Schöffer, Niklas Kühl, Isabel Valera:
A Ranking Approach to Fair Classification. - Patrik Olã Bressan, José Marcato Junior, José Augusto Correa Martins, Diogo Nunes Gonçalves, Daniel Matte Freitas, Lucas Prado Osco, Jonathan de Andrade Silva, Zhipeng Luo, Jonathan Li, Raymundo Cordero Garcia, Wesley Nunes Gonçalves:
Semantic Segmentation with Labeling Uncertainty and Class Imbalance. - Maurício Gruppi, Benjamin D. Horne, Sibel Adali:
NELA-GT-2020: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles. - Chris J. Kennedy, Julia Vassey, Ho-Chun Herbert Chang, Jennifer B. Unger, Emilio Ferrara:
Tracking e-cigarette warning label compliance on Instagram with deep learning. - Victor Vidigal Ribeiro, Daniela Soares Cruzes, Guilherme Horta Travassos:
Moderator Factors of Software Security and Performance Verification. - Gabriel Francisco Lorençon Ribeiro Bernardes, Rogério Ishibashi, André Aparecido de Souza Ivo, Valério Rosset, Bruno Yuji Lino Kimura:
Prototyping Low-Cost Automatic Weather Stations for Natural Disaster Monitoring. - Bernhard von Stengel:
Finding Nash Equilibria of Two-Player Games. - Mayuresh Savargaonkar, Abdallah A. Chehade, Samir A. Rawashdeh:
RMOPP: Robust Multi-Objective Post-Processing for Effective Object Detection. - Debasish Ray Mohapatra, Victor Zappi, Sidney S. Fels:
A comparative study of two-dimensional vocal tract acoustic modeling based on Finite-Difference Time-Domain methods. - Mona Zehni, Zhizhen Zhao:
UVTomo-GAN: An adversarial learning based approach for unknown view X-ray tomographic reconstruction. - Gabriele Di Cerbo, Ali Hirsa, Ahmad Shayaan:
Regularized Generative Adversarial Network. - Kunal Pattanayak, Vikram Krishnamurthy:
Behavioral Economics Approach to Interpretable Deep Image Classification. Rationally Inattentive Utility Maximization Explains Deep Image Classification. - Haochen Wang, Xiaolong Jiang, Haibing Ren, Yao Hu, Song Bai:
SwiftNet: Real-time Video Object Segmentation. - Pengfei Wei, Bi Zeng, Wenxiong Liao:
Joint Intent Detection and Slot Filling with Wheel-Graph Attention Networks. - Zhengmian Hu, Feihu Huang, Heng Huang:
A New Framework for Variance-Reduced Hamiltonian Monte Carlo. - João G. Zago, Fabio L. Baldissera, Eric A. Antonelo, Rodrigo T. Saad:
Benford's law: what does it say on adversarial images? - Yakub Sebastian, Chaomei Chen:
The Boundary-Spanning Mechanisms of Nobel Prize Winning Papers. - Jinkai Zheng, Xinchen Liu, Chenggang Yan, Jiyong Zhang, Wu Liu, Xiaoping Zhang, Tao Mei:
TraND: Transferable Neighborhood Discovery for Unsupervised Cross-domain Gait Recognition. - Yu Wang, Fengjuan Gao, Linzhang Wang:
Demystifying Code Summarization Models. - Bhavtosh Rath, Xavier Morales, Jaideep Srivastava:
SCARLET: Explainable Attention based Graph Neural Network for Fake News spreader prediction. - Shanshan Huang, Kenny Q. Zhu:
Statistically Profiling Biases in Natural Language Reasoning Datasets and Models. - Daniel Selsam, Jesse Michael Han:
k-Equivalence Relations and Associated Algorithms. - Zhuoning Yuan, Zhishuai Guo, Yi Xu, Yiming Ying, Tianbao Yang:
Federated Deep AUC Maximization for Heterogeneous Data with a Constant Communication Complexity. - Jie Mei, Jenq-Neng Hwang, Suzanne Romain, Craig S. Rose, Braden Moore, Kelsey Magrane:
Absolute 3D Pose Estimation and Length Measurement of Severely Deformed Fish from Monocular Videos in Longline Fishing. - Zhuo Li, Weiqing Min, Jiajun Song, Yaohui Zhu, Shuqiang Jiang:
Rethinking Ranking-based Loss Functions: Only Penalizing Negative Instances before Positive Ones is Enough. - Muhammad Hanif, Ha H. Nguyen:
Frequency-Shift Chirp Spread Spectrum Communications with Index Modulation. - David Thulke, Nico Daheim, Christian Dugast, Hermann Ney:
Efficient Retrieval Augmented Generation from Unstructured Knowledge for Task-Oriented Dialog. - Hong-Lin Liao, Tao Tang, Tao Zhou:
A new discrete energy technique for multi-step backward difference formulas. - Shu-Lin Wu, Tao Zhou, Zhi Zhou:
Stability implies robust convergence of a class of diagonalization-based iterative algorithms. - Xiangzeng Zhou, Pan Pan, Yun Zheng, Yinghui Xu, Rong Jin:
Large Scale Long-tailed Product Recognition System at Alibaba. - Yikai Zhang, Hui Qu, Qi Chang, Huidong Liu, Dimitris N. Metaxas, Chao Chen:
Training Federated GANs with Theoretical Guarantees: A Universal Aggregation Approach. - Kang Zhao, Pan Pan, Yun Zheng, Yanhao Zhang, Changxu Wang, Yingya Zhang, Yinghui Xu, Rong Jin:
Large-Scale Visual Search with Binary Distributed Graph at Alibaba. - Drew Stone:
Trustless, privacy-preserving blockchain bridges. - Ayodeji Oseni, Nour Moustafa, Helge Janicke, Peng Liu, Zahir Tari, Athanasios V. Vasilakos:
Security and Privacy for Artificial Intelligence: Opportunities and Challenges. - Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin B. Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie Liu:
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation. - Yanhao Zhang, Pan Pan, Yun Zheng, Kang Zhao, Jianmin Wu, Yinghui Xu, Rong Jin:
Virtual ID Discovery from E-commerce Media at Alibaba: Exploiting Richness of User Click Behavior for Visual Search Relevance. - Juntang Zhuang, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan:
MALI: A memory efficient and reverse accurate integrator for Neural ODEs. - Christian Williams, Michael Stay:
Native Type Theory. 116-132 - Yanhao Zhang, Pan Pan, Yun Zheng, Kang Zhao, Yingya Zhang, Xiaofeng Ren, Rong Jin:
Visual Search at Alibaba. - Dasaem Jeong, Seungheon Doh, Taegyun Kwon:
TräumerAI: Dreaming Music with StyleGAN. - Dennis Bautembach, Iason Oikonomidis, Antonis A. Argyros:
Multi-GPU SNN Simulation with Perfect Static Load Balancing. - Yao Ge, Qinwen Deng, P. C. Ching, Zhi Ding:
OTFS Signaling for Uplink NOMA of Heterogeneous Mobility Users. - Songlin He, Yuan Lu, Qiang Tang, Guiling Wang, Chase Qishi Wu:
Peer-to-Peer Content Delivery via Blockchain. - Abdur Rahim Mohammad Forkan, Yong-Bin Kang, Prem Prakash Jayaraman, Kewen Liao, Rohit Kaul, Graham Morgan, Rajiv Ranjan, Samir Sinha:
CorrDetector: A Framework for Structural Corrosion Detection from Drone Images using Ensemble Deep Learning. - Pouya M. Ghari, Yanning Shen:
Graph-Aided Online Multi-Kernel Learning. - Haike Xu, Tengyu Ma, Simon S. Du:
Fine-Grained Gap-Dependent Bounds for Tabular MDPs via Adaptive Multi-Step Bootstrap. - Rajiv Kumar, Rishabh Dabral, G. Sivakumar:
Learning Unsupervised Cross-domain Image-to-Image Translation Using a Shared Discriminator. - Peidong Liu, Gengwei Zhang, Bochao Wang, Hang Xu, Xiaodan Liang, Yong Jiang, Zhenguo Li:
Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search. - Linda Gesenhues, Marek Behr:
Simulating dense granular flow using the μ(I)-rheology within a space-time framework. - Yilmazcan Özyurt, Mathias Kraus, Tobias Hatt, Stefan Feuerriegel:
AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units. - David Stein, Bjoern Andres:
Inapproximability of Minimizing a Pair of DNFs or Binary Decision Trees Defining a Partial Boolean Function. - Andrew Lowy, Meisam Razaviyayn:
Output Perturbation for Differentially Private Convex Optimization with Improved Population Loss Bounds, Runtimes and Applications to Private Adversarial Training. - Xincheng He, Lei Xu, Xiangyu Zhang, Rui Hao, Yang Feng, Baowen Xu:
PyART: Python API Recommendation in Real-Time. - Nikolas Mählmann, Sebastian Siebertz, Alexandre Vigny:
Recursive Backdoors for SAT. - Hang Liu, Meng Chen, Youzheng Wu, Xiaodong He, Bowen Zhou:
Conversational Query Rewriting with Self-supervised Learning. - Cezar Sas, Andrea Capiluppi:
Using Structural and Semantic Information to Identify Software Components. - Andrea Aler Tubella, Andreas Theodorou, Juan Carlos Nieves:
Interrogating the Black Box: Transparency through Information-Seeking Dialogues. - Lue Tao, Lei Feng, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen:
Provable Defense Against Delusive Poisoning. - Ibrahima N'Doye, Ding Zhang, Mohamed-Slim Alouini, Taous-Meriem Laleg-Kirati:
Establishing and Maintaining a Reliable Optical Wireless Communication in Underwater Environment. - Yanhao Zhang, Qiang Wang, Pan Pan, Yun Zheng, Cheng Da, Siyang Sun, Yinghui Xu:
Fashion Focus: Multi-modal Retrieval System for Video Commodity Localization in E-commerce. - Teng-Hui Huang, Aly El Gamal:
A Provably Convergent Information Bottleneck Solution via ADMM. - Kuan Hsieh, Cynthia Rush, Ramji Venkataramanan:
Near-Optimal Coding for Massive Multiple Access. - Marco Carbone, Sonia Marin, Carsten Schürmann:
Synchronous Forwarders. - Albin Cassirer, Gabriel Barth-Maron, Eugene Brevdo, Sabela Ramos, Toby Boyd, Thibault Sottiaux, Manuel Kroiss:
Reverb: A Framework For Experience Replay. - Muah Kim, Onur Günlü, Rafael F. Schaefer:
Federated Learning with Local Differential Privacy: Trade-offs between Privacy, Utility, and Communication. - Der-Hau Lee, Jinn-Liang Liu:
End-to-End Deep Learning of Lane Detection and Path Prediction for Real-Time Autonomous Driving. - Fan Zhou, Arini Fitri, Khoirul Anwar, Brian M. Kurkoski:
Encoding and Decoding Construction D' Lattices for Power-Constrained Communications. - Alexandre Almeida, Pedro Vicente, Alexandre Bernardino:
Where is my hand? Deep hand segmentation for visual self-recognition in humanoid robots. - Boyang Xue, Jianwei Yu, Junhao Xu, Shansong Liu, Shoukang Hu, Zi Ye, Mengzhe Geng, Xunying Liu, Helen Meng:
Bayesian Transformer Language Models for Speech Recognition. - Sahand Sharifzadeh, Sina Moayed Baharlou, Martin Schmitt, Hinrich Schütze, Volker Tresp:
Improving Visual Reasoning by Exploiting The Knowledge in Texts. - Tao Lin, Sai Praneeth Karimireddy, Sebastian U. Stich, Martin Jaggi:
Quasi-Global Momentum: Accelerating Decentralized Deep Learning on Heterogeneous Data. - Linwei Ye, Mrigank Rochan, Zhi Liu, Xiaoqin Zhang, Yang Wang:
Referring Segmentation in Images and Videos with Cross-Modal Self-Attention Network. - Djordje Slijepcevic, Maximilian Henzl, Lukas Daniel Klausner, Tobias Dam, Peter Kieseberg, Matthias Zeppelzauer:
k-Anonymity in Practice: How Generalisation and Suppression Affect Machine Learning Classifiers. - Çagatay Yildiz, Markus Heinonen, Harri Lähdesmäki:
Continuous-Time Model-Based Reinforcement Learning. - Xianghui Zhong:
Lower Bounds on the Integraliy Ratio of the Subtour LP for the Traveling Salesman Problem. - Hiroki Ishizaka, Kenta Kobayashi, Ryo Suzuki, Takuya Tsuchiya:
A new geometric condition equivalent to the maximum angle condition for tetrahedrons. - Bingkai Lin:
Constant Approximating k-Clique is W[1]-hard. - Konstantin Kutzkov:
COLOGNE: Coordinated Local Graph Neighborhood Sampling. - Florimond Guéniat, Sahdia Maryam:
Forecasting the Evolution of Hydrogen Vehicle Fleet in the UK usingGrowth and Lotka-Volterra Models. - Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Yun Hua, Hongyuan Zha:
Structured Diversification Emergence via Reinforced Organization Control and Hierarchical Consensus Learning. - Emilien Dupont, Yee Whye Teh, Arnaud Doucet:
Generative Models as Distributions of Functions. - Sutharsan Mahendren, Chamira U. S. Edussooriya, Ranga Rodrigo:
Diverse Single Image Generation with Controllable Global Structure through Self-Attention. - Tarlis Tortelli Portela, Jônata Tyska Carvalho, Vania Bogorny:
Fast discovery of multidimensional subsequences for robust trajectory classification. - Kang Zhao, Sida Huang, Pan Pan, Yinghan Li, Yingya Zhang, Zhenyu Gu, Yinghui Xu:
Distribution Adaptive INT8 Quantization for Training CNNs. - Najko Jahn, Lisa Matthias, Mikael Laakso:
Transparency to hybrid open access through publisher-provided metadata: An article-level study of Elsevier. - Alexander N. Pchelintsev:
A Numerical-Analytical Method for Constructing Periodic Solutions of the Lorenz System. - Javier Yuste, Sergio Pastrana:
Avaddon ransomware: an in-depth analysis and decryption of infected systems. - Vijith Kumar K. P, Brijesh Kumar Rai, Tony Jacob:
The Exact Rate Memory Tradeoff for Small Caches with Coded Placement. - Kateryna Chumachenko, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Ensembling object detectors for image and video data analysis. - Enze Xie, Jian Ding, Wenhai Wang, Xiaohang Zhan, Hang Xu, Zhenguo Li, Ping Luo:
DetCo: Unsupervised Contrastive Learning for Object Detection. - Grégoire Menguy, Sébastien Bardin, Richard Bonichon, Cauim de Souza Lima:
AI-based Blackbox Code Deobfuscation: Understand, Improve and Mitigate. - Yassine Himeur, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira:
Smart non-intrusive appliance identification using a novel local power histogramming descriptor with an improved k-nearest neighbors classifier. - Muhammad Zakwan:
Stability Analysis and State-Feedback Stabilization of LPV Time-Delay Systems with Piecewise Constant Parameters subject to Spontaneous Poissonian Jumps. - Rogério Duarte, Ângela Lacerda Nobre, Fernando Pimentel, Marc Jacquinet:
Broader terms curriculum mapping: Using natural language processing and visual-supported communication to create representative program planning experiences. - Daniyar B. Nurseitov, Kairat Bostanbekov, Maksat Kanatov, Anel Alimova, Abdelrahman Abdallah, Galymzhan Abdimanap:
Classification of Handwritten Names of Cities and Handwritten Text Recognition using Various Deep Learning Models. - Hussein K. Almulla, Gregory Gay:
Learning How to Search: Generating Effective Test Cases Through Adaptive Fitness Function Selection. - Ayush Deva, Kumar Abhishek, Sujit Gujar:
A Multi-Arm Bandit Approach To Subset Selection Under Constraints. - Pascal Giorgi, Bruno Grenet, Armelle Perret du Cray:
On exact division and divisibility testing for sparse polynomials. - Lingjing Kong, Tao Lin, Anastasia Koloskova, Martin Jaggi, Sebastian U. Stich:
Consensus Control for Decentralized Deep Learning. - Wenmeng Yu, Hua Xu, Ziqi Yuan, Jiele Wu:
Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis. - Blerta Lindqvist:
Target Training Does Adversarial Training Without Adversarial Samples. - Ying Li, Weipan Xu, Haohui Chen, Junhao Jiang, Xun Li:
A Histogram Thresholding Improvement to Mask R-CNN for Scalable Segmentation of New and Old Rural Buildings. - Amal Awadalla Ali, Asma Hamid ElFadl, Maha Fawzy Abujazar, Sarah Aziz, Alaa A. Abd-alrazaq, Zubair Shah, Samir Brahim Belhaouari, Mowafa S. Househ, Tanvir Alam:
Contact Tracing Apps for COVID-19: Access Permission and User Adoption. - Rishi Chhatwal, Robert Keeling, Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang, Haozhen Zhao:
CNN Application in Detection of Privileged Documents in Legal Document Review. - Yu Liu, Lianghua Huang, Pan Pan, Bin Wang, Yinghui Xu, Rong Jin:
Train a One-Million-Way Instance Classifier for Unsupervised Visual Representation Learning. - Pritam Anand:
Learning a powerful SVM using piece-wise linear loss functions. - Yimin Peng, Yunlong Li, Zijing Fang:
An underwater binocular stereo matching algorithm based on the best search domain. - Marin Jovanovic, David Sjödin, Vinit Parida:
Co-evolution of platform architecture, platform services, and platform governance: Expanding the platform value of industrial digital platforms. - Jennifer A. Hobbs, Ivan Dozier, Naira Hovakimyan:
Residue Density Segmentation for Monitoring and Optimizing Tillage Practices. - Zelalem Arega Worku, David W. Zingg:
Stability and Functional Superconvergence of Narrow-Stencil Second-Derivative Generalized Summation-By-Parts Discretizations. - Kenneth N. Reid, Iliya Miralavy, Stephen Kelly, Wolfgang Banzhaf, Cedric Gondro:
The Factory Must Grow: Automation in Factorio. - Parwat Singh Anjana, Sweta Kumari, Sathya Peri, Sachin Rathor, Archit Somani:
OptSmart: A Space Efficient Optimistic Concurrent Execution of Smart Contracts. - Masoud Maleki:
Diagnosis of COVID-19 and Non-COVID-19 Patients by Classifying Only a Single Cough Sound. - Florian E. Dorner:
Measuring Progress in Deep Reinforcement Learning Sample Efficiency. - Chuhan Wu, Fangzhao Wu, Yang Yu, Tao Qi, Yongfeng Huang, Qi Liu:
NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application. - Claytone Sikasote, Antonios Anastasopoulos:
BembaSpeech: A Speech Recognition Corpus for the Bemba Language. - M. Torabi Rad, Alexandre Viardin, Markus Apel:
On Theory-training Neural Networks to Infer the Solution of Highly Coupled Differential Equations. - B. R. Manoj, Guoda Tian, Sara Gunnarsson, Fredrik Tufvesson, Erik G. Larsson:
Moving Object Classification with a Sub-6 GHz Massive MIMO Array using Real Data. - John D. Gallacher:
Leveraging cross-platform data to improve automated hate speech detection. - Zeyu Zheng, Vivek Veeriah, Risto Vuorio, Richard L. Lewis, Satinder Singh:
Learning State Representations from Random Deep Action-conditional Predictions. - Chi Zhang, Yujie Zhu, Yongchuan Yu, Massoud Rezavand, Xiangyu Hu:
A simple artificial damping method for total Lagrangian smoothed particle hydrodynamics. - Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
FeedRec: News Feed Recommendation with Various User Feedbacks. - Yizeng Han, Gao Huang, Shiji Song, Le Yang, Honghui Wang, Yulin Wang:
Dynamic Neural Networks: A Survey. - Chao Gao:
On Computation Complexity of True Proof Number Search. - Moshe Babaioff, Tomer Ezra, Uriel Feige:
Best-of-Both-Worlds Fair-Share Allocations. - Konstantinos Konstantoudakis, David Breitgand, Alexandros Doumanoglou, Nikolaos Zioulis, Avi Weit, Kyriaki Christaki, Petros Drakoulis, Emmanouil Christakis, Dimitrios Zarpalas, Petros Daras:
Serverless Streaming for Emerging Media: Towards 5G Network-Driven Cost Optimization. - Muhammad Khan, Yasir Zaki, Shiva R. Iyer, Talal Ahmad, Thomas Pötsch, Jay Chen, Anirudh Sivaraman, Lakshmi Subramanian:
The case for model-driven interpretability of delay-based congestion control protocols. - Pierre Aumjaud, David McAuliffe, Francisco Javier Rodríguez-Lera, Philip Cardiff:
rl_reach: Reproducible Reinforcement Learning Experiments for Robotic Reaching Tasks. - Maozhen Wang, Rui Luo, Aykut Özgün Önol, Taskin Padir:
Affordance-Based Mobile Robot Navigation Among Movable Obstacles. - David Auger, Xavier Badin de Montjoye, Yann Strozecki:
A Generic Strategy Iteration Method for Simple Stochastic Games. - Roee Cates, Daphna Weinshall:
More Is More - Narrowing the Generalization Gap by Adding Classification Heads. - Chuhan Wu, Fangzhao Wu, Yang Cao, Yongfeng Huang, Xing Xie:
FedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation. - Ibrahima N'Doye, Wenqi Cai, Asem Al-Alwan, Xiaobin Sun, Wael Ghazy Headary, Mohamed-Slim Alouini, Boon S. Ooi, Taous-Meriem Laleg-Kirati:
Reduction of the Beam Pointing Error for Improved Free-Space Optical Communication Link Performance. - Surja Sanyal, Vikash Kumar Singh, Fatos Xhafa, Banhi Sanyal, Sajal Mukhopadhyay:
A Game Theoretic Framework for Surplus Food Distribution in Smart Cities and Beyond. - Kai Zhen, Hieu Duy Nguyen, Feng-Ju Chang, Athanasios Mouchtaris, Ariya Rastrow:
Sparsification via Compressed Sensing for Automatic Speech Recognition. - Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor:
RL for Latent MDPs: Regret Guarantees and a Lower Bound. - Aria Nouri, Reza Asvadi, Jun Chen, Pascal O. Vontobel:
Constrained Secrecy Capacity of Partial-Response Wiretap Channels. - Félix G. Harvey, Mike Yurick, Derek Nowrouzezahrai, Christopher J. Pal:
Robust Motion In-betweening. - Maxim Buzdalov, Carola Doerr:
Optimal Static Mutation Strength Distributions for the (1+λ) Evolutionary Algorithm on OneMax. - Xiaoyu Liu, Jordi Pons:
On permutation invariant training for speech source separation. - Antonio Candelieri, Francesco Archetti:
MISO-wiLDCosts: Multi Information Source Optimization with Location Dependent Costs. - Robyn Kozierok, John S. Aberdeen, Cheryl Clark, Christopher D. Garay, Bradley Goodman, Tonia Korves, Lynette Hirschman, Patricia L. McDermott, Matthew W. Peterson:
Hallmarks of Human-Machine Collaboration: A framework for assessment in the DARPA Communicating with Computers Program.