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ORCIDCoRR, October 2021
- Khushbu Pahwa, Ambika Sadhu, Mayank Sethi, Sargun Nagpal, Tavpritesh Sethi:
Variance of Twitter Embeddings and Temporal Trends of COVID-19 cases. - Turgay Pamuklu, Shahram Mollahasani, Melike Erol-Kantarci:
Energy-Efficient and Delay-Guaranteed Joint Resource Allocation and DU Selection in O-RAN. - Kyle R. Williams, Rachel Schlossman, Daniel Whitten, Joe Ingram, Srideep Musuvathy, Anirudh Patel, James Pagan, Kyle A. Williams, Sam Green, Anirban Mazumdar, Julie Parish:
Trajectory Planning with Deep Reinforcement Learning in High-Level Action Spaces. - Arjit Jain, Pranay Reddy Samala, Deepak Mittal, Preethi Jyothi, Maneesh Singh:
SpliceOut: A Simple and Efficient Audio Augmentation Method. - Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao:
Learning to Predict Trustworthiness with Steep Slope Loss. - Erik D. Demaine, Maarten Löffler, Christiane Schmidt:
Rectangular Spiral Galaxies are Still Hard. - Xi Jiang, Noah J. Apthorpe:
Automating Internet of Things Network Traffic Collection with Robotic Arm Interactions. - Brandon Smock, Rohith Pesala, Robin Abraham:
PubTables-1M: Towards comprehensive table extraction from unstructured documents. - Ali KhalilianMotamed Bonab, Volkan Patoglu:
Simulation-based multi-criteria comparison of mono-articular and bi-articular exoskeletons during walking with and without load. - Hao Guo, Behrooz Makki, Tommy Svensson:
Velocity-aware Antenna Selection in Predictor Antenna Systems. - Weize Zhang, Peyman Yadmellat, Zhiwei Gao:
A Sufficient Condition for Convex Hull Property in General Convex Spatio-Temporal Corridors. - Lilia Krivodonova, Alexey Smirnov:
On the TVD property of second order methods for 2D scalar conservation laws. - Haoxiang Yu, Jie Hua, Christine Julien:
Dataset: Analysis of IFTTT Recipes to Study How Humans Use Internet-of-Things (IoT) Devices. - Cagri Toraman, Furkan Sahinuç, Eyup Halit Yilmaz:
What Happened in Social Media during the 2020 BLM Movement? An Analysis of Deleted and Suspended Users in Twitter. - Futoon M. Abushaqra, Hao Xue, Yongli Ren, Flora D. Salim:
PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series. - Lisette Espín-Noboa, Claudia Wagner, Markus Strohmaier, Fariba Karimi:
Inequality and Inequity in Network-based Ranking and Recommendation Algorithms. - Jacob Evald, Viktor Fredslund-Hansen, Christian Wulff-Nilsen:
Near-Optimal Distance Oracles for Vertex-Labeled Planar Graphs. - Matteo Nerini, Bruno Clerckx:
Reconfigurable Intelligent Surfaces Based on Single, Group, and Fully Connected Discrete-Value Impedance Networks. - Sourav Mukherjee, David Widmark, Vince DiMascio, Tim Oates:
Determining Standard Occupational Classification Codes from Job Descriptions in Immigration Petitions. - Jingwei Li:
Two ways towards combining Sequential Neural Network and Statistical Methods to Improve the Prediction of Time Series. - Yusuke Tanaka, Yuki Shirai, Zachary Lacey, Xuan Lin, Jane Liu, Dennis W. Hong:
An Under-Actuated Whippletree Mechanism Gripper based on Multi-Objective Design Optimization with Auto-Tuned Weights. - Ido Czerninski, Yoav Y. Schechner:
Accelerating Inverse Rendering By Using a GPU and Reuse of Light Paths. - Angeline Yasodhara, Azin Asgarian, Diego Huang, Parinaz Sobhani:
On the Trustworthiness of Tree Ensemble Explainability Methods. - Haoping Xu, Yi Ru Wang, Sagi Eppel, Alán Aspuru-Guzik, Florian Shkurti, Animesh Garg:
Seeing Glass: Joint Point Cloud and Depth Completion for Transparent Objects. - Nasimeh Heydaribeni, Ketan Savla:
Information Design for a Non-atomic Service Scheduling Game. - Simon Streicher
, Johan A. du Preez:
Strengthening Probabilistic Graphical Models: The Purge-and-merge Algorithm. - Luciano Gavoni:
RFID Exploitation and Countermeasures. - Jueming Hu, Zhe Xu, Weichang Wang, Guannan Qu, Yutian Pang, Yongming Liu:
Decentralized Graph-Based Multi-Agent Reinforcement Learning Using Reward Machines. - Nariman Torkzaban, Mohammad Ali Amir Khojastepour:
Shaping mmWave Wireless Channel via Multi-Beam Design using Reconfigurable Intelligent Surfaces. - Mordechai Guri:
LANTENNA: Exfiltrating Data from Air-Gapped Networks via Ethernet Cables. - Elahe Vahdani, Yingli Tian:
Deep Learning-based Action Detection in Untrimmed Videos: A Survey. - Juliane B. S. dos Santos, Paulo Ricardo Knob, Victor Putrich Scherer, Soraia Raupp Musse:
Is my agent good enough? Evaluating Embodied Conversational Agents with Long and Short-term interactions. - Jacqueline Comer, Sam Work, Kory W. Mathewson, Lana Cuthbertson, Kasey Machin:
#ContextMatters: Advantages and Limitations of Using Machine Learning to Support Women in Politics. - Bruce Spang, Veronica Hannan, Shravya Kunamalla, Te-Yuan Huang, Nick McKeown, Ramesh Johari:
Unbiased Experiments in Congested Networks. - Jae Shin Yoon, Zhixuan Yu, Jaesik Park, Hyun Soo Park:
HUMBI: A Large Multiview Dataset of Human Body Expressions and Benchmark Challenge. - Luyao Yuan, Zipeng Fu, Linqi Zhou, Kexin Yang, Song-Chun Zhu:
Emergence of Theory of Mind Collaboration in Multiagent Systems. - Federico Ruggeri, Marco Lippi, Paolo Torroni:
Tree-Constrained Graph Neural Networks For Argument Mining. - Federico Ruggeri, Marco Lippi, Paolo Torroni:
MemBERT: Injecting Unstructured Knowledge into BERT. - Amanda Adkins, Joydeep Biswas:
Probabilistic Object Maps for Long-Term Robot Localization. - Adriano Pastore, Sung Hoon Lim, Chen Feng, Bobak Nazer, Michael Gastpar:
A Unified Discretization Approach to Compute-Forward: From Discrete to Continuous Inputs. - Zhenyao Liu, Jen-Hsuan Chen, Shi-Yi Tan, Wei-Chang Yeh:
A Novel Simplified Swarm Optimization for Generalized Reliability Redundancy Allocation Problem. - Jorge L. Suzuki, Tyler G. Tuttle, Sara Roccabianca, Mohsen Zayernouri:
A Data-Driven Memory-Dependent Modeling Framework for Anomalous Rheology: Application to Urinary Bladder Tissue. - Fatemehsadat Mireshghallah, Vaishnavi Shrivastava, Milad Shokouhi, Taylor Berg-Kirkpatrick, Robert Sim, Dimitrios Dimitriadis:
UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis. - Luyao Yuan, Dongruo Zhou, Junhong Shen, Jingdong Gao, Jeffrey L. Chen, Quanquan Gu, Ying Nian Wu, Song-Chun Zhu:
Iterative Teacher-Aware Learning. - Marilene Oliver, Gary James Joynes, Kumar Punithakumar, Peter Seres:
Deep Connection: Making Virtual Reality Artworks with Medical Scan Data. - Zarina Kurbatova, Yaroslav Golubev, Vladimir Kovalenko, Timofey Bryksin:
The IntelliJ Platform: a Framework for Building Plugins and Mining Software Data. - Cinzia Di Giusto, Loïc Germerie Guizouarn, Étienne Lozes:
Towards Generalised Half-Duplex Systems. 22-37 - Bas van den Heuvel, Jorge A. Pérez:
Deadlock Freedom for Asynchronous and Cyclic Process Networks. 38-56 - Maurice Laveaux, Tim A. C. Willemse:
Decomposing Monolithic Processes in a Process Algebra with Multi-actions. 57-76 - Hugh L. Kennedy:
On the design of fixed-gain tracking filters by pole placement: Or an introduction to applied signals-and-systems theory for engineers. - Zhouyuan Huo, Dongseong Hwang, Khe Chai Sim, Shefali Garg, Ananya Misra, Nikhil Siddhartha, Trevor Strohman, Françoise Beaufays:
Incremental Layer-wise Self-Supervised Learning for Efficient Speech Domain Adaptation On Device. - Duc-Vu Nguyen, Linh-Bao Vo, Dang Van Thin, Ngan Luu-Thuy Nguyen:
Span Labeling Approach for Vietnamese and Chinese Word Segmentation. - Joseph Marvin Imperial, Ethel Ong:
Under the Microscope: Interpreting Readability Assessment Models for Filipino. - Cem Kalkanli, Ayfer Özgür:
Asymptotic Performance of Thompson Sampling in the Batched Multi-Armed Bandits. - Chongyang Tao, Jiazhan Feng, Chang Liu, Juntao Li, Xiubo Geng, Daxin Jiang:
Building an Efficient and Effective Retrieval-based Dialogue System via Mutual Learning. - Arpit Agarwal:
Machine learning models for prediction of droplet collision outcomes. - Michal Adamkiewicz, Timothy Chen, Adam Caccavale, Rachel Gardner, Preston Culbertson, Jeannette Bohg, Mac Schwager:
Vision-Only Robot Navigation in a Neural Radiance World. - Carlos Toxtli, Siddharth Suri, Saiph Savage:
Quantifying the Invisible Labor in Crowd Work. - Zeguan Xiao, Jiarun Wu, Qingliang Chen, Congjian Deng:
BERT4GCN: Using BERT Intermediate Layers to Augment GCN for Aspect-based Sentiment Classification. - Dongliang Zheng, Panagiotis Tsiotras:
Batch Belief Trees for Motion Planning Under Uncertainty. - Yun Zhao, Yuqing Wang, Junfeng Liu, Haotian Xia, Zhenni Xu, Qinghang Hong, Zhiyang Zhou, Linda R. Petzold:
Empirical Quantitative Analysis of COVID-19 Forecasting Models. - Quang Pham, Chenghao Liu, Steven C. H. Hoi:
DualNet: Continual Learning, Fast and Slow. - Ankit Agrawal, Jane Cleland-Huang:
RescueAR: Augmented Reality Supported Collaboration for UAV Driven Emergency Response Systems. - Vithya Yogarajan, Jacob Montiel, Tony Smith, Bernhard Pfahringer:
Predicting COVID-19 Patient Shielding: A Comprehensive Study. - Jessica Shi, Stephen Chou, Fredrik Kjolstad, Saman P. Amarasinghe:
An Attempt to Generate Code for Symmetric Tensor Computations. - Jianhao Wang, Wenzhe Li, Haozhe Jiang, Guangxiang Zhu, Siyuan Li, Chongjie Zhang:
Offline Reinforcement Learning with Reverse Model-based Imagination. - Qiao Lan, Dingzhu Wen, Zezhong Zhang, Qunsong Zeng, Xu Chen, Petar Popovski, Kaibin Huang:
What is Semantic Communication? A View on Conveying Meaning in the Era of Machine Intelligence. - Ching-Hsun Tseng, Liu-Hsueh Cheng, Shin-Jye Lee, Xiao-Jun Zeng:
Update in Unit Gradient. - Jun Xu:
Error-free approximation of explicit linear MPC through lattice piecewise affine expression. - Cem Kalkanli, Ayfer Özgür:
Batched Thompson Sampling. - Soheil Zabihi, Elahe Rahimian, Soumya Sharma, Sean K. Sethi, Sara Gharabaghi, Amir Asif, E. Mark Haacke, Mandar S. Jog, Arash Mohammadi:
Q-Net: A Quantitative Susceptibility Mapping-based Deep Neural Network for Differential Diagnosis of Brain Iron Deposition in Hemochromatosis. - Ian R. Manchester, Max Revay, Ruigang Wang:
Contraction-Based Methods for Stable Identification and Robust Machine Learning: a Tutorial. - Arjuna Weerasinghe, Zhenyu Zhao, Fei Fan, Pengfei Tu, Kye Yak See:
In-Circuit Differential-Mode Impedance Extraction at the AC Input of a Motor Drive System. - Jinning Li, Huajie Shao, Dachun Sun, Ruijie Wang, Yuchen Yan, Jinyang Li, Shengzhong Liu, Hanghang Tong, Tarek F. Abdelzaher:
Unsupervised Belief Representation Learning in Polarized Networks with Information-Theoretic Variational Graph Auto-Encoders. - Ahmet Faruk Budak, Prateek Bhansali, Bo Liu, Nan Sun, David Z. Pan, Chandramouli V. Kashyap:
DNN-Opt: An RL Inspired Optimization for Analog Circuit Sizing using Deep Neural Networks. - Kazuo Yonekura, Nozomu Miyamoto, Katsuyuki Suzuki:
Inverse airfoil design method for generating varieties of smooth airfoils using conditional WGAN-gp. - Zhuowen Zou, Haleh Alimohamadi, Farhad Imani, Yeseong Kim, Mohsen Imani:
Spiking Hyperdimensional Network: Neuromorphic Models Integrated with Memory-Inspired Framework. - Sobhan Hemati, Hamid R. Tizhoosh:
Beyond Neighbourhood-Preserving Transformations for Quantization-Based Unsupervised Hashing. - Rui Huang, Andrew Geng, Yixuan Li:
On the Importance of Gradients for Detecting Distributional Shifts in the Wild. - Jun Oh Jang:
Neural Networks Compensation of Systems with Multi-segment Piecewise Linear Nonlinearities. - Aljaz Zrnec, Marko Pozenel, Dejan Lavbic:
Users' ability to perceive misinformation: An information quality assessment approach. - Meenakshi Sanyal, Somenath Chakraborty:
Enhanced Multigradient Dilution Preparation. - Ashkan Jasour, Weiqiao Han, Brian Charles Williams:
Real-Time Risk-Bounded Tube-Based Trajectory Safety Verification. - Tobias Haugg, Mohammad Fazel Soltani, Timo Häckel, Philipp Meyer, Franz Korf, Thomas C. Schmidt:
Simulation-based Evaluation of a Synchronous Transaction Model for Time-Sensitive Software-Defined Networks. - Ying Siu Liang, Chen Zhang, Dongkyu Choi, Kenneth Kwok:
Improving Object Permanence using Agent Actions and Reasoning. - (Withdrawn) Data-Efficient Instance Segmentation with a Single GPU.
- Ali Raza, Kim Phuc Tran, Ludovic Koehl, Shujun Li, Xianyi Zeng, Khaled Benzaidi:
Lightweight Transformer in Federated Setting for Human Activity Recognition. - Chabane Khentout, Khadidja Harbouche, Mahieddine Djoudi:
Learner to learner fuzzy profiles similarity using a hybrid interaction analysis grid. - Muhammad Akhtar Munir, Muhammad Haris Khan, M. Saquib Sarfraz, Mohsen Ali:
Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection. - Jehyun Lee, Min Suk Kang, Dinil Mon Divakaran, Phyo May Thet, Videet Singhai, Jun Seung You:
A Step Towards On-Path Security Function Outsourcing. - C. Tanner Fredieu, Anthony F. Martone, R. Michael Buehrer:
Open-set Classification of Common Waveforms Using A Deep Feed-forward Network and Binary Isolation Forest Models. - Ioannis Caragiannis, Karl Fehrs:
The Complexity of Learning Approval-Based Multiwinner Voting Rules. - Yan Xia, Linhui Jiang, Lu Wang, Xue Chen, Jianjie Ye, Tangyan Hou, Liqiang Wang, Yibo Zhang, Mengying Li, Zhen Li, Zhe Song, Yaping Jiang, Weiping Liu, Pengfei Li, Daniel Rosenfeld, John H. Seinfeld, Shaocai Yu:
Rapid Assessments of Light-Duty Gasoline Vehicle Emissions Using On-Road Remote Sensing and Machine Learning. - Xin Feng, Wenjie Pei, Fengjun Li, Fanglin Chen, David Zhang, Guangming Lu:
Generative Memory-Guided Semantic Reasoning Model for Image Inpainting. - Eric Bezzam, Sepand Kashani, Paul Hurley, Matthieu Simeoni:
pyFFS: A Python Library for Fast Fourier Series Computation. - Yunfeng Hou, Qingdu Li, Yunfeng Ji, Gang Wang:
New Approaches for Verification of Delay Coobservability of Discrete Event Systems. - Meng Liu, Yong Liu:
Inductive Representation Learning in Temporal Networks via Mining Neighborhood and Community Influences. - Jian Yang, Gang Xiao, Yulong Shen, Wei Jiang, Xinyu Hu, Ying Zhang, Jinghui Peng:
A Survey of Knowledge Enhanced Pre-trained Models. - S. M. Nahid Mahmud, Moad Abudia, Scott A. Nivison, Zachary I. Bell, Rushikesh Kamalapurkar:
Safety aware model-based reinforcement learning for optimal control of a class of output-feedback nonlinear systems. - Hriday Bavle, Jose Luis Sanchez-Lopez, Eduardo F. Schmidt, Holger Voos:
From SLAM to Situational Awareness: Challenges and Survey. - Shahriar Ebrahimi, Parisa Hasanizadeh, Seyed Mohammad Aghamirmohammadali, Amirali Akbari:
Enhancing Cold Wallet Security with Native Multi-Signature schemes in Centralized Exchanges. - Kristijan Bartol, David Bojanic, Tomislav Petkovic, Tomislav Pribanic:
Stochastic Modeling for Learnable Human Pose Triangulation. - Nils Wilde, Erdem Biyik, Dorsa Sadigh, Stephen L. Smith:
Learning Reward Functions from Scale Feedback. - Giorgos Stamatelatos, Pavlos S. Efraimidis:
Whole Sampling Generation of Scale-Free Graphs. - Patrick J. W. Koelewijn, Roland Tóth, Siep Weiland:
Incremental Dissipativity based Control of Discrete-Time Nonlinear Systems via the LPV Framework. - Milad Naeimaei Aali, Felix Mannhardt, Pieter Jelle Toussaint:
Discovering care pathways for multi-morbid patients using event graphs. - Nour Dahmen, Jérôme Droniou, François Rogier:
A cost-effective nonlinear extremum-preserving finite volume scheme for highly anisotropic diffusion on Cartesian grids, with application to radiation belt dynamics. - Efthymios Karangelos, Louis Wehenkel:
Cyber-physical risk modeling with imperfect cyber-attackers. - Kefan Su, Zongqing Lu:
Divergence-Regularized Multi-Agent Actor-Critic. - Thomas Falconer, Letif Mones:
Leveraging power grid topology in machine learning assisted optimal power flow. - Giovanni Colavizza, Silvio Peroni, Matteo Romanello:
The case for the Humanities Citation Index (HuCI): a citation index by the humanities, for the humanities. - Youngjoo Kim, Alexandru C. Telea, Scott C. Trager, Jos B. T. M. Roerdink:
Visual Cluster Separation Using High-Dimensional Sharpened Dimensionality Reduction. - Mahdi Esmailoghli, Jorge-Arnulfo Quiané-Ruiz, Ziawasch Abedjan:
MATE: Multi-Attribute Table Extraction. - Chenlin Hang, Tetsuo Ono, Seiji Yamada:
Designing nudge agents that promote human altruism. - Eric McCormick, Haoxiang Lang, Clarence W. de Silva:
Dynamic Modeling and Simulation of a Four-wheel Skid-Steer Mobile Robot using Linear Graphs. - Stefan Kiefer, Qiyi Tang:
Approximate Bisimulation Minimisation. - Eryk Kopczynski, Dorota Celinska-Kopczynska:
Navigating Higher Dimensional Spaces using Hyperbolic Geometry. - Zheng Li, Xiang Li, Lingfeng Yang, Jian Yang, Zhigeng Pan:
Student Helping Teacher: Teacher Evolution via Self-Knowledge Distillation. - Hong Zhu, Ian Bayley:
Discovering Boundary Values of Feature-based Machine Learning Classifiers through Exploratory Datamorphic Testing. - Chi Wang, Yulin Shen, Luping Ji:
Geometry Attention Transformer with Position-aware LSTMs for Image Captioning. - Ameya Pore, Eleonora Tagliabue, Marco Piccinelli, Diego Dall'Alba, Alicia Casals, Paolo Fiorini:
Learning from Demonstrations for Autonomous Soft-tissue Retraction. - Francesco Paissan, Alberto Ancilotto, Elisabetta Farella:
PhiNets: a scalable backbone for low-power AI at the edge. - Ni Zhang, Junwei Han, Nian Liu, Ling Shao:
Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency Detection. - Akshay Dhonthi, Philipp Schillinger, Leonel Dario Rozo, Daniele Nardi:
Study of Signal Temporal Logic Robustness Metrics for Robotic Tasks Optimization. - Guochang Lin, Pipi Hu, Fukai Chen, Xiang Chen, Junqing Chen, Jun Wang, Zuoqiang Shi:
BINet: Learning to Solve Partial Differential Equations with Boundary Integral Networks. - Apostolos I. Rikos, Christoforos N. Hadjicostis, Karl Henrik Johansson:
Finite Time Exact Quantized Average Consensus with Limited Resources and Transmission Stopping for Energy-Aware Networks. - Maria Papoutsoglou, Georgia M. Kapitsaki, Daniel M. Germán, Lefteris Angelis:
An analysis of open source software licensing questions in Stack Exchange sites. - Mihai Oltean:
Multi Expression Programming - an in-depth description. - Hiromichi Kamata, Yusuke Mukuta, Tatsuya Harada:
Fully Spiking Variational Autoencoder. - Qianhui Men, Hubert P. H. Shum, Edmond S. L. Ho, Howard Leung:
GAN-based Reactive Motion Synthesis with Class-aware Discriminators for Human-human Interaction. - Shiv Shankar:
Neural Dependency Coding inspired Multimodal Fusion. - Kim Thang Nguyen, Christoph Dürr:
Online Primal-Dual Algorithms with Predictions for Packing Problems. - Bingzhao Zhu, Mahsa Shoaran:
Tree in Tree: from Decision Trees to Decision Graphs. - Zhen Chen, Meilu Zhu, Chen Yang, Yixuan Yuan:
Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning. - Lorenzo Valerio, Raffaele Bruno, Andrea Passarella:
Cellular traffic offloading via Opportunistic Networking with Reinforcement Learning. - Valeria Henríquez, Ana María Moreno, José Antonio Calvo-Manzano, Tomás San Feliu:
Agile-CMMI Alignment: CMMI V2.0 Contributions and To-dos for Organizations. - (Withdrawn) Evaluating Susceptibility of VPN Implementations to DoS Attacks Using Adversarial Testing.
- Teemu Lehto, Johan Myrberger, Apoorva Pandey:
Continuous Compliance using Calculated Event Log Layers. - François Demoures, François Gay-Balmaz:
Unified discrete multisymplectic Lagrangian formulation for hyperelastic solids and barotropic fluids. - Shraman Pramanick, Dimitar Dimitrov, Rituparna Mukherjee, Shivam Sharma, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty:
Detecting Harmful Memes and Their Targets. - Sangwoo Park, Osvaldo Simeone:
Predicting Flat-Fading Channels via Meta-Learned Closed-Form Linear Filters and Equilibrium Propagation. - Michael Kommenda, Johannes Karder, Andreas Beham, Bogdan Burlacu, Gabriel Kronberger, Stefan Wagner, Michael Affenzeller:
Optimization Networks for Integrated Machine Learning. - Sundesh Gupta, Aditya Shah, Miten Shah, Laribok Syiemlieh, Chandresh Maurya:
FiLMing Multimodal Sarcasm Detection with Attention. - Zekeriya Anil Guven, Banu Diri, Tolgahan Cakaloglu:
Evaluation of Non-Negative Matrix Factorization and n-stage Latent Dirichlet Allocation for Emotion Analysis in Turkish Tweets. - Xuanting Cai, Quanbin Ma, Pan Li, Jianyu Liu, Qi Zeng, Zhengkan Yang, Pushkar Tripathi:
A Web Scale Entity Extraction System. - Siqi Zhang, Na Yi, Yi Ma:
Correlation-Based Device Energy-Efficient Dynamic Multi-Task Offloading for Mobile Edge Computing. - Shiwen Ni, Jiawen Li, Hung-Yu Kao:
Rumor Detection on Social Media with Hierarchical Adversarial Training. - Jinwoo Nam, Daechul Ahn, Dongyeop Kang, Seong Jong Ha, Jonghyun Choi:
Zero-shot Natural Language Video Localization. - Thomas Cohn, Nikhil Devraj, Odest Chadwicke Jenkins:
Topologically-Informed Atlas Learning. - Zied Baklouti:
External knowledge transfer deployment inside a simple double agent Viterbi algorithm. - Vedrana Krivokuca Hahn, Sébastien Marcel:
Towards Protecting Face Embeddings in Mobile Face Verification Scenarios. - Vishvajit Bakarola, Jitendra Nasriwala:
Attention based Sequence to Sequence Learning for Machine Translation of Low Resourced Indic Languages - A case of Sanskrit to Hindi. - Vladislav Kurenkov, Bulat Maksudov:
Guiding Evolutionary Strategies by Differentiable Robot Simulators. - Florian Fischer, Arthur Fleig, Markus Klar, Jörg Müller:
Optimal Feedback Control for Modeling Human-Computer Interaction. - Fernando Lucatelli Nunes, Matthijs Vákár:
CHAD for Expressive Total Languages. - Kyle Dunlap, Michael Hibbard, Mark Mote, Kerianne Hobbs:
Comparing Run Time Assurance Approaches for Safe Spacecraft Docking. - François Rozet, Gilles Louppe:
Arbitrary Marginal Neural Ratio Estimation for Simulation-based Inference. - Jiabin Liu, Zheng Wei, Zhengpin Li, Xiaojun Mao, Jian Wang, Zhongyu Wei, Qi Zhang:
SAM: A Self-adaptive Attention Module for Context-Aware Recommendation System. - Federico Tavella, Aphrodite Galata, Angelo Cangelosi:
Phonology Recognition in American Sign Language. - Risheng Liu, Yaohua Liu, Shangzhi Zeng, Jin Zhang:
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond. - Guin Gilman, Robert J. Walls:
Characterizing Concurrency Mechanisms for NVIDIA GPUs under Deep Learning Workloads. - Thang Xuan Duong, Mikhail Itskov, Roger Andrew Sauer:
A general isogeometric finite element formulation for rotation-free shells with embedded fibers and in-plane bending. - Primoz Godec, Nikola Ðukic, Ajda Pretnar, Vesna Tanko, Lan Zagar, Blaz Zupan:
Explainable Point-Based Document Visualizations. - Jonas Heylen, Mark De Wolf, Bruno Dawagne, Marc Proesmans, Luc Van Gool, Wim Abbeloos, Hazem Abdelkawy, Daniel Olmeda Reino:
MonoCInIS: Camera Independent Monocular 3D Object Detection using Instance Segmentation. - Mihai Oltean:
New Evolutionary Computation Models and their Applications to Machine Learning. - Jahongir Yunusov, Shohruh Rakhmatov, Abdulaziz Namozov, Abdulaziz Gaybulayev, Tae-Hyong Kim:
Instance Segmentation Challenge Track Technical Report, VIPriors Workshop at ICCV 2021: Task-Specific Copy-Paste Data Augmentation Method for Instance Segmentation. - Luis Olsina, María Fernanda Papa, Guido Tebes, Pablo Becker:
Designing Quality Requirements, Metrics and Indicators for Core Ontologies: Results of a Comparative Study for Process Core Ontologies. - Anaïs Halin, Jacques G. Verly, Marc Van Droogenbroeck:
Survey and synthesis of state of the art in driver monitoring. - Ross Wightman, Hugo Touvron, Hervé Jégou:
ResNet strikes back: An improved training procedure in timm. - Jude Haris, Perry Gibson, José Cano, Nicolas Bohm Agostini, David R. Kaeli:
SECDA: Efficient Hardware/Software Co-Design of FPGA-based DNN Accelerators for Edge Inference. - Hongbin Ye, Ningyu Zhang, Zhen Bi, Shumin Deng, Chuanqi Tan, Hui Chen, Fei Huang, Huajun Chen:
Learning to Ask for Data-Efficient Event Argument Extraction. - Kevin Köser, Yifan Song, Lasse Petersen, Emanuel Wenzlaff, Felix Woelk:
Robustly Removing Deep Sea Lighting Effects for Visual Mapping of Abyssal Plains. - Samuel Tesfazgi, Armin Lederer, Johannes F. Kunz, Alejandro Jose Ordóñez Conejo, Sandra Hirche:
Personalized Rehabilitation Robotics based on Online Learning Control. - Ali Hassani, Abbas Bataleblu, S. A. Khalilpour, Hamid D. Taghirad, Philippe Cardou:
Dynamic Models of Spherical Parallel Robots for Model-Based Control Schemes. - Shahram Mollahasani, Melike Erol-Kantarci, Rodney Wilson:
Dynamic CU-DU Selection for Resource Allocation in O-RAN Using Actor-Critic Learning. - Yariv Aizenbud, Ofir Lindenbaum, Yuval Kluger:
Probabilistic Robust Autoencoders for Anomaly Detection. - Karthekeyan Chandrasekaran, Elena Grigorescu, Gabriel Istrate, Shubhang Kulkarni, Young-San Lin, Minshen Zhu:
Fixed-Parameter Algorithms for Longest Heapable Subsequence and Maximum Binary Tree. - Tabitha C. Peck, Kyla A. McMullen, John Quarles:
DiVRsify: Break the Cycle and Develop VR for Everyone. - Rajan Udwani:
Adwords with Unknown Budgets. - N. DiBrita, Khouloud Eledlebi, Hanno Hildmann, L. Culley, Abdel F. Isakovic:
Temporal Graphs and Temporal Network Characteristics for Bio-Inspired Networks During Optimization. - Nihad Karim Chowdhury, Muhammad Ashad Kabir, Md. Muhtadir Rahman:
An Ensemble-based Multi-Criteria Decision Making Method for COVID-19 Cough Classification. - Wei Dong, Yixing Lao, Michael Kaess, Vladlen Koltun:
ASH: A Modern Framework for Parallel Spatial Hashing in 3D Perception. - George T. Cantwell, Cristopher Moore:
Belief propagation for permutations, rankings, and partial orders. - N. Sukumar, Michael R. Tupek:
Virtual elements on agglomerated finite elements to increase the critical time step in elastodynamic simulations. - Nils Barlaug:
LEMON: Explainable Entity Matching. - Zhuowan Li, Elias Stengel-Eskin, Yixiao Zhang, Cihang Xie, Quan Tran, Benjamin Van Durme, Alan L. Yuille:
Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images. - Saad Hassan, Matt Huenerfauth, Cecilia Ovesdotter Alm:
Unpacking the Interdependent Systems of Discrimination: Ableist Bias in NLP Systems through an Intersectional Lens. - Chun-Wei Yang, Thanh Hai Phung, Hong-Han Shuai, Wen-Huang Cheng:
Mask or Non-Mask? Robust Face Mask Detector via Triplet-Consistency Representation Learning. - Vipin Pillai, Soroush Abbasi Koohpayegani, Ashley Ouligian, Dennis Fong, Hamed Pirsiavash:
Consistent Explanations by Contrastive Learning.