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ORCIDCoRR, March 2020
- Utz Nisslmueller, Klaus-Tycho Foerster, Stefan Schmid, Christian Decker:
Toward Active and Passive Confidentiality Attacks On Cryptocurrency Off-Chain Networks. - El-Mahdi El-Mhamdi, Rachid Guerraoui, Sébastien Rouault:
Distributed Momentum for Byzantine-resilient Learning. - Romina Abachi, Mohammad Ghavamzadeh, Amir-massoud Farahmand:
Policy-Aware Model Learning for Policy Gradient Methods. - Martín Ceresa, Felipe Gorostiaga, César Sánchez:
Declarative Stream Runtime Verification (hLola). - Javier Carnerero-Cano, Luis Muñoz-González, Phillippa Spencer, Emil C. Lupu:
Regularisation Can Mitigate Poisoning Attacks: A Novel Analysis Based on Multiobjective Bilevel Optimisation. - Pamela Bilo Thomas, Rachel Krohn, Tim Weninger:
Library Adoption Dynamics in Software Teams. - Sepanta Zeighami, Gabriel Ghinita, Cyrus Shahabi:
Dynamic Skyline Queries on Encrypted Data Using Result Materialization. - Kevin Lin, Lijuan Wang, Ying Jin, Zicheng Liu, Ming-Ting Sun:
Learning Nonparametric Human Mesh Reconstruction from a Single Image without Ground Truth Meshes. - Stefanie Scherzinger, Sebastian Sidortschuck:
An Empirical Study on the Design and Evolution of NoSQL Database Schemas. - Thomas Magelinski, Mihovil Bartulovic, Kathleen M. Carley:
Modularity-Deltas: a Semi-Global Centrality Measure for Complex Networks. - Hamid Gharavi, Bin Hu:
Deterministic Intra-Vehicle Communications: Timing and Synchronization. - Gustavo Assunção
, Nuno Gonçalves, Paulo Menezes:
Bio-Inspired Modality Fusion for Active Speaker Detection. - Marijan Palmisano, Martin Steinberger, Martin Horn:
Finite-horizon Linear Quadratic Control for Networked Control Systems with non-distributed plants. - Jacob A. George, Anna Neibling, Michael D. Paskett, Gregory A. Clark:
Inexpensive surface electromyography sleeve with consistent electrode placement enables dexterous and stable prosthetic control through deep learning. - Kambiz Azarian, Yash Bhalgat, Jinwon Lee, Tijmen Blankevoort:
Learned Threshold Pruning. - Artsiom Sanakoyeu, Vasil Khalidov, Maureen S. McCarthy, Andrea Vedaldi, Natalia Neverova:
Transferring Dense Pose to Proximal Animal Classes. - Eren Balevi, Jeffrey G. Andrews:
High Rate Communication over One-Bit Quantized Channels via Deep Learning and LDPC Codes. - Mohit Daga:
Improved Algorithm for Min-Cuts in Distributed Networks. - Xiangyu Zhao, Xudong Zheng, Xiwang Yang, Xiaobing Liu, Jiliang Tang:
Jointly Learning to Recommend and Advertise. - Nikos Batsaras, Giorgos Saloustros, Anastasios Papagiannis, Panagiota Fatourou, Angelos Bilas:
VAT: Asymptotic Cost Analysis for Multi-Level Key-Value Stores. - Wissam Antoun, Fady Baly, Hazem M. Hajj:
AraBERT: Transformer-based Model for Arabic Language Understanding. - Jianbo Jiao, Richard Droste, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Self-supervised Representation Learning for Ultrasound Video. - John H. Kastner, Hong Wei, Hanan Samet:
Viewing the Progression of the Novel Corona Virus (COVID-19) with NewsStand. - Dominik Danko, Suat Mercan, Mumin Cebe, Kemal Akkaya:
Assuring the Integrity of Videos from Wireless-based IoT Devices using Blockchain. - Grace Dinh, James Demmel:
Communication-Optimal Tilings for Projective Nested Loops with Arbitrary Bounds. - Zhuolin Yang, Zhikuan Zhao, Hengzhi Pei, Boxin Wang, Bojan Karlas, Ji Liu, Heng Guo, Bo Li, Ce Zhang:
End-to-end Robustness for Sensing-Reasoning Machine Learning Pipelines. - Zhe Zeng, Paolo Morettin, Fanqi Yan, Antonio Vergari, Guy Van den Broeck:
Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing. - Duc Phan Minh Truong, Erik Skau, Vladimir I. Valtchinov, Boian S. Alexandrov:
Determination of Latent Dimensionality in International Trade Flow. - Khoa D. Doan, Amir Kimiyaie, Saurav Manchanda, Chandan K. Reddy:
Image Hashing by Minimizing Independent Relaxed Wasserstein Distance. - Luting Yang, Bingqian Lu, Shaolei Ren:
A Note on Latency Variability of Deep Neural Networks for Mobile Inference. - Huckleberry Febbo, Paramsothy Jayakumar, Jeffrey L. Stein, Tulga Ersal:
NLOptControl: A modeling language for solving optimal control problems. - (Withdrawn) A new construction of Algebraic Geometry code using Trace function.
- Ahmed T. Elthakeb, Prannoy Pilligundla, Fatemehsadat Mireshghallah, Tarek Elgindi, Charles-Alban Deledalle, Hadi Esmaeilzadeh:
Gradient-Based Deep Quantization of Neural Networks through Sinusoidal Adaptive Regularization. - John Demme:
A Compiler Infrastructure for FPGA and ASIC Development. - Jonathan Frankle, David J. Schwab, Ari S. Morcos:
Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs. - Andrea Zanette, Alessandro Lazaric, Mykel J. Kochenderfer, Emma Brunskill:
Learning Near Optimal Policies with Low Inherent Bellman Error. - Tao Ji, Liqian Chen, Xiaoguang Mao, Xin Yi, Jiahong Jiang:
Automated Regression Unit Test Generation for Program Merges. - Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang:
Decentralized Multi-player Multi-armed Bandits with No Collision Information. - Yinjie Lei, Yan Liu, Pingping Zhang, Lingqiao Liu:
Towards Using Count-level Weak Supervision for Crowd Counting. - Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou:
Depth-Adaptive Graph Recurrent Network for Text Classification. - Hardik Uppal, Alireza Sepas-Moghaddam, Michael A. Greenspan, S. Ali Etemad:
Attention-aware fusion RGB-D face recognition. - Xiang Zhang, Qingqing Yang, Jinru Ding, Ziyue Wang:
Entity Profiling in Knowledge Graphs. - Daliang Xu, Dongwei Chen, Chun Yang, Kang Sun, Xu Cheng, Dong Tong:
DangKiller: Eliminating Dangling Pointers Efficiently via Implicit Identifier. - Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Kenji Sugimoto:
TAdam: A Robust Stochastic Gradient Optimizer. - Yu-Chen Sung, Sagar V. Patil, Michael G. Safonov:
Robustness of Uncertain Switching Nonlinear Feedback Systems against Large Time-Variation. - Maosheng Ye, Shuangjie Xu, Tongyi Cao:
HVNet: Hybrid Voxel Network for LiDAR Based 3D Object Detection. - Takehiko Ohkawa, Naoto Inoue, Hirokatsu Kataoka, Nakamasa Inoue:
Augmented Cyclic Consistency Regularization for Unpaired Image-to-Image Translation. - Meng Tian, Liang Pan, Marcelo H. Ang Jr., Gim Hee Lee:
Robust 6D Object Pose Estimation by Learning RGB-D Features. - Dylan J. Foster, Max Simchowitz:
Logarithmic Regret for Adversarial Online Control. - Ruqi Zhang, A. Feder Cooper, Christopher De Sa:
AMAGOLD: Amortized Metropolis Adjustment for Efficient Stochastic Gradient MCMC. - Aliaksandr Siarohin, Stéphane Lathuilière, Sergey Tulyakov, Elisa Ricci, Nicu Sebe:
First Order Motion Model for Image Animation. - Longlong Jing, Toufiq Parag, Zhe Wu, Yingli Tian, Hongcheng Wang:
VideoSSL: Semi-Supervised Learning for Video Classification. - Xiaopeng Mo, Jie Xu:
Energy-Efficient Federated Edge Learning with Joint Communication and Computation Design. - Chaehan So:
What Emotions Make One or Five Stars? Understanding Ratings of Online Product Reviews by Sentiment Analysis and XAI. - Pankaj K. Agarwal, Hsien-Chih Chang, Subhash Suri, Allen Xiao, Jie Xue:
Dynamic geometric set cover and hitting set. - Michael Gimelfarb, Scott Sanner, Chi-Guhn Lee:
Contextual Policy Reuse using Deep Mixture Models. - Congqi Cao, Yanning Zhang:
Learning to Compare Relation: Semantic Alignment for Few-Shot Learning. - Hanyu Li, Yuanyang Zhu:
Randomized block Krylov space methods for trace and log-determinant estimators. - Xing Fan, Hao Luo, Chi Zhang, Wei Jiang:
Cross-Spectrum Dual-Subspace Pairing for RGB-infrared Cross-Modality Person Re-Identification. - Wenqi Shao, Shitao Tang, Xingang Pan, Ping Tan, Xiaogang Wang, Ping Luo:
Channel Equilibrium Networks for Learning Deep Representation. - Sebastiano Boscarino, Seung-Yeon Cho, Giovanni Russo, Seok-Bae Yun:
Convergence estimates of a semi-Lagrangian scheme for the ellipsoidal BGK model for polyatomic molecules. - Yutao Hu, Xiaolong Jiang, Xuhui Liu, Baochang Zhang, Jungong Han, Xianbin Cao, David S. Doermann:
NAS-Count: Counting-by-Density with Neural Architecture Search. - Xuan Su, Wee Sun Lee, Zhen Zhang:
Multiplicative Gaussian Particle Filter. - Yingshi Chen:
Deep differentiable forest with sparse attention for the tabular data. - Tim von Oehsen, Alexander Fabisch, Shivesh Kumar, Frank Kirchner:
Comparison of Distal Teacher Learning with Numerical and Analytical Methods to Solve Inverse Kinematics for Rigid-Body Mechanisms. - Padraig Corcoran:
An End-to-End Graph Convolutional Kernel Support Vector Machine. - Kang Wei, Jun Li, Ming Ding, Chuan Ma, Hang Su, Bo Zhang, H. Vincent Poor:
Performance Analysis and Optimization in Privacy-Preserving Federated Learning. - Raza Rahi, Sumant Pushp, Arif Khan, Smriti Kumar Sinha:
A Finite State Transducer Based Morphological Analyzer of Maithili Language. - Miel Sharf:
On the Sample Complexity of Data-Driven Inference of the L2-gain. - Cao Vien Phung, Anna Engelmann, Thomas Kuerner, Admela Jukan:
Improving THz Quality-of-Transmission with Systematic RLNC and Auxiliary Channels. - Yizhi Zhao, Hongmei Chi:
Secure Polar Coding for Adversarial Wiretap Channel. - David Kay, Vanessa Styles:
Preconditioning nonlocal multi-phase flow. - Abanoub M. Girgis, Jihong Park, Chen-Feng Liu, Mehdi Bennis:
Predictive Control and Communication Co-Design: A Gaussian Process Regression Approach. - Cao Vien Phung, Jasenka Dizdarevic, Admela Jukan:
An Experimental Study of Network Coded REST HTTP in Dynamic IoT Systems. - Mohammed A. Teeti:
Downlink Secrecy Rate of One-Bit Massive MIMO System with Active Eavesdropping. - Zhilei Liu, Yunpeng Wu, Le Li, Cuicui Zhang, Baoyuan Wu:
Joint Face Completion and Super-resolution using Multi-scale Feature Relation Learning. - Pengcheng Zhang, Jianan Yu, Shunhui Ji:
ADF-GA: Data Flow Criterion Based Test Case Generation for Ethereum Smart Contracts. - Jens Braband, Hendrik Schäbe:
On Safety Assessment of Artificial Intelligence. - Emeka Abakasanga, Nir Shlezinger, Ron Dabora:
The Rate Distortion Function of Asynchronously Sampled Memoryless Cyclostationary Gaussian Processes. - Eduardo Fernández, Kai-ke Yang, Stijn Koppen, Pablo Alarcón, Simon Bauduin, Pierre Duysinx:
Imposing minimum and maximum member size, minimum cavity size, and minimum separation distance between solid members in topology optimization. - Runfa Chen, Wenbing Huang, Binghui Huang, Fuchun Sun, Bin Fang:
Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation. - Ajaz Ahmad Bhat, Vishwanathan Mohan:
Causal Learning by a Robot with Semantic-Episodic Memory in an Aesop's Fable Experiment. - Amadeus Oertel, Titus Cieslewski, Davide Scaramuzza:
Augmenting Visual Place Recognition with Structural Cues. - Xiaoyang Guo, Anuj Srivastava:
Representations, Metrics and Statistics For Shape Analysis of Elastic Graphs. - Gus Henry Smith, Zachary Tatlock, Luis Ceze:
Enumerating Hardware-Software Splits with Program Rewriting. - Paul Irofti, Andra Baltoiu:
Unsupervised Dictionary Learning for Anomaly Detection. - Suat Mercan, Enes Erdin, Kemal Akkaya:
Improving Sustainability of Cryptocurrency Payment Networks for IoT Applications. - Sashank J. Reddi, Zachary Charles, Manzil Zaheer, Zachary Garrett, Keith Rush, Jakub Konecný, Sanjiv Kumar, H. Brendan McMahan:
Adaptive Federated Optimization. - Massimo Bartoletti, Maurizio Murgia, Roberto Zunino:
Renegotiation and recursion in Bitcoin contracts. - Shengyu Zhang, Tan Jiang, Qinghao Huang, Ziqi Tan, Zhou Zhao, Siliang Tang, Jin Yu, Hongxia Yang, Yi Yang, Fei Wu:
Grounded and Controllable Image Completion by Incorporating Lexical Semantics. - Woojay Jeon, Leo Liu, Henry Mason:
Voice trigger detection from LVCSR hypothesis lattices using bidirectional lattice recurrent neural networks. - Chaoyue Liu, Libin Zhu, Mikhail Belkin:
Toward a theory of optimization for over-parameterized systems of non-linear equations: the lessons of deep learning. - Qingjie Meng, Daniel Rueckert, Bernhard Kainz:
Learning Cross-domain Generalizable Features by Representation Disentanglement. - Marc C. Canellas, Rachel A. Haga:
Unsafe At Any Level: NHTSA's levels of automation are a liability for autonomous vehicle design and regulation. - Luís C. Lamb, Artur S. d'Avila Garcez, Marco Gori, Marcelo O. R. Prates, Pedro H. C. Avelar, Moshe Y. Vardi:
Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective. - Michael J. Whittaker, Neil Giridharan, Adriana Szekeres, Joseph M. Hellerstein, Ion Stoica:
Bipartisan Paxos: A Modular State Machine Replication Protocol. - Shrinu Kushagra:
Three-dimensional matching is NP-Hard. - Hongzhuo Liang, Chuangchuang Zhou, Shuang Li, Xiaojian Ma, Norman Hendrich, Timo Gerkmann, Fuchun Sun, Jianwei Zhang:
Robust Robotic Pouring using Audition and Haptics. - Sangdon Park, Osbert Bastani, James Weimer, Insup Lee:
Calibrated Prediction with Covariate Shift via Unsupervised Domain Adaptation. - Ruwan Wickramarachchi, Cory A. Henson, Amit P. Sheth:
An Evaluation of Knowledge Graph Embeddings for Autonomous Driving Data: Experience and Practice. - Iztok Fister Jr., Iztok Fister:
Information cartography in association rule mining. - Nicolae-Catalin Ristea, Liviu-Cristian Dutu, Anamaria Radoi:
Emotion Recognition System from Speech and Visual Information based on Convolutional Neural Networks. - Aikaterini Aretaki, Efthymios N. Karatzas:
Random geometries and Quasi Monte Carlo methods for optimal control PDE problems based on fictitious domain FEMS and cut elements. - Wei-Hung Weng, Yu-An Chung, Schrasing Tong:
Clinical Text Summarization with Syntax-Based Negation and Semantic Concept Identification. - Xiao Xu, Fang Dong, Yanghua Li, Shaojian He, Xin Li:
Contextual-Bandit Based Personalized Recommendation with Time-Varying User Interests. - Adam N. Elmachtoub, Jason Cheuk Nam Liang, Ryan McNellis:
Decision Trees for Decision-Making under the Predict-then-Optimize Framework. - Semih Cayci, Atilla Eryilmaz, R. Srikant:
Budget-Constrained Bandits over General Cost and Reward Distributions. - Steve Macenski, Francisco Martín, Ruffin White, Jonatan Ginés Clavero:
The Marathon 2: A Navigation System. - Daniel R. Freer, Guang-Zhong Yang:
MIndGrasp: A New Training and Testing Framework for Motor Imagery Based 3-Dimensional Assistive Robotic Control. - Masashi Okada, Norio Kosaka, Tadahiro Taniguchi:
PlaNet of the Bayesians: Reconsidering and Improving Deep Planning Network by Incorporating Bayesian Inference. - Bahman Kalantari:
A Globally Convergent Newton Method for Polynomials. - Xiao Zhang, Jinghui Chen, Quanquan Gu, David Evans:
Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models. - Jieshan Chen, Chunyang Chen, Zhenchang Xing, Xiwei Xu, Liming Zhu, Guoqiang Li, Jinshui Wang:
Unblind Your Apps: Predicting Natural-Language Labels for Mobile GUI Components by Deep Learning. - Chao Xu, Xijun Wang, Howard H. Yang, Hongguang Sun, Tony Q. S. Quek:
AoI and Energy Consumption Oriented Dynamic Status Updating in Caching Enabled IoT Networks. - Wenrui Lin, Xijun Wang, Chao Xu, Xinghua Sun, Xiang Chen:
Average Age of Changed Information in the Internet of Things. - Zhixin Jia, Mengxiang Lin, Zhixin Chen, Shibo Jian:
Vision-based Robot Manipulation Learning via Human Demonstrations. - William E. Gerhard III, Pratap Tokekar:
Experimental Evaluation of a Pseudo-Doppler Direction-Finding System for Localizing Radio Tags. - Shizhe Chen, Qin Jin, Peng Wang, Qi Wu:
Say As You Wish: Fine-grained Control of Image Caption Generation with Abstract Scene Graphs. - Jiezhang Cao, Langyuan Mo, Qing Du, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan:
Joint Wasserstein Distribution Matching. - Mengjie Yi, Xijun Wang, Juan Liu, Yan Zhang, Bo Bai:
Deep Reinforcement Learning for Fresh Data Collection in UAV-assisted IoT Networks. - Shizhe Chen, Yida Zhao, Qin Jin, Qi Wu:
Fine-grained Video-Text Retrieval with Hierarchical Graph Reasoning. - Denis A. Gudovskiy, Alec Hodgkinson, Takuya Yamaguchi, Sotaro Tsukizawa:
Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision. - Abdullah Al-Noman Patwary, Anmin Fu, Ranesh Kumar Naha, Sudheer Kumar Battula, Saurabh Kumar Garg, Md Anwarul Kaium Patwary, Erfan Aghasian:
Authentication, Access Control, Privacy, Threats and Trust Management Towards Securing Fog Computing Environments: A Review. - Qi Chen, Qi Wu, Rui Tang, Yuhan Wang, Shuai Wang, Mingkui Tan:
Intelligent Home 3D: Automatic 3D-House Design from Linguistic Descriptions Only. - Hugo Tremblay, Fábio Petrillo:
The cross cyclomatic complexity: a bi-dimensional measure for program complexity on graphs. - Lingfeng Tao, Michael Bowman, Jiucai Zhang, Xiaoli Zhang:
Learn Task First or Learn Human Partner First? Deep Reinforcement Learning of Human-Robot Cooperation in Asymmetric Hierarchical Dynamic Task. - Zhenfang Chen, Peng Wang, Lin Ma, Kwan-Yee K. Wong, Qi Wu:
Cops-Ref: A new Dataset and Task on Compositional Referring Expression Comprehension. - Monther Aldwairi, Yahya Flaifel, Khaldoon Mhaidat:
Efficient Wu-Manber Pattern Matching Hardware for Intrusion and Malware Detection. - Sulan Zhai, Shunqiang Liu, Xiao Wang, Jin Tang:
FMT: Fusing Multi-task Convolutional Neural Network for Person Search. - Haokun Li, Bican Xia:
Solving Satisfiability of Polynomial Formulas By Sample-Cell Projection. - Zitian Huang, Yikuan Yu, Jiawen Xu, Feng Ni, Xinyi Le:
PF-Net: Point Fractal Network for 3D Point Cloud Completion. - Mahmood A. Khan, Md Zahidul Islam, Mohsin Hafeez:
Data Pre-Processing and Evaluating the Performance of Several Data Mining Methods for Predicting Irrigation Water Requirement. - Yixin Wang, Xiaohong Guan, Youtian Du, Nan Nan:
Harmonics Based Representation in Clarinet Tone Quality Evaluation. - Muhammad Asim, Muaaz Zakria:
Advanced kNN: A Mature Machine Learning Series. - K. R. Prajwal, Rudrabha Mukhopadhyay, Jerin Philip, Abhishek Jha, Vinay P. Namboodiri, C. V. Jawahar:
Towards Automatic Face-to-Face Translation. - Hong-lin Liao, Tao Tang, Tao Zhou:
On energy stable, maximum-principle preserving, second order BDF scheme with variable steps for the Allen-Cahn equation. - Burak Uzkent, Stefano Ermon:
Learning When and Where to Zoom with Deep Reinforcement Learning. - Xinwei Chen, Ali Taleb Zadeh Kasgari, Walid Saad:
Deep Learning for Content-based Personalized Viewport Prediction of 360-Degree VR Videos. - Nhan H. Pham, Lam M. Nguyen, Dzung T. Phan, Phuong Ha Nguyen, Marten van Dijk, Quoc Tran-Dinh:
A Hybrid Stochastic Policy Gradient Algorithm for Reinforcement Learning. - Kamran Alipour, Jürgen P. Schulze, Yi Yao, Avi Ziskind, Giedrius Burachas:
A Study on Multimodal and Interactive Explanations for Visual Question Answering. - Xingyu Sha, Jiaqi Zhang, Kaiqing Zhang, Keyou You, Tamer Basar:
Asynchronous Policy Evaluation in Distributed Reinforcement Learning over Networks. - Xiaolin Song, Yuyang Zhao, Jingyu Yang, Cuiling Lan, Wenjun Zeng, Jiahao Li:
STC-Flow: Spatio-temporal Context-aware Optical Flow Estimation. - Chengjun Li, Yang Li:
Differential Evolution with Individuals Redistribution for Real Parameter Single Objective Optimization. - Xin Wang, Vihan Jain, Eugene Ie, William Yang Wang, Zornitsa Kozareva, Sujith Ravi:
Environment-agnostic Multitask Learning for Natural Language Grounded Navigation. - Franck Assous, Yevgeni Furman:
A hierarchy of reduced models to approximate Vlasov-Maxwell equations for slow time variations. - Arthur-Jozsef Molnar, Simona Motogna:
Longitudinal Evaluation of Open-Source Software Maintainability. - Fleurianne Bertrand, Daniele Boffi:
Least-squares for linear elasticity eigenvalue problem. - Jonathan P. Keating, Ahmet Abdullah Keles:
Maximum Absolute Determinants of Upper Hessenberg Bohemian Matrices. - Yijun Yuan, Dorit Borrmann, Andreas Nüchter, Sören Schwertfeger:
Non-iterative One-step Solution for Point Set Registration Problem on Pose Estimation without Correspondence. - Vahid Garousi, Ehsan Abbasi, Bedir Tekinerdogan:
Experience in engineering of scientific software: The case of an optimization software for oil pipelines. - Hamza Ali Imran, Saad Wazir, Ahmed Jamal Ikram, Ataul Aziz Ikram, Hanif Ullah, Maryam Ehsan:
HPC as a Service: A naive model. - Benjamin Ward-Cherrier, Nicholas Pestell, Nathan F. Lepora:
NeuroTac: A Neuromorphic Optical Tactile Sensor applied to Texture Recognition. - Reut Levi, Moti Medina:
Distributed Testing of Graph Isomorphism in the CONGEST model. - Yuri S. Sarkisov, Min Jun Kim, Andre Coelho, Dzmitry Tsetserukou, Christian Ott, Konstantin Kondak:
Optimal Oscillation Damping Control of cable-Suspended Aerial Manipulator with a Single IMU Sensor. - Cornelis A. Middelburg:
Process algebra, process scheduling, and mutual exclusion. - Yue Xu, Feng Yin, Wenjun Xu, Chia-Han Lee, Jiaru Lin, Shuguang Cui:
Scalable Learning Paradigms for Data-Driven Wireless Communication. - Jing Li, Suiyi Ling, Junle Wang, Zhi Li, Patrick Le Callet:
GPM: A Generic Probabilistic Model to Recover Annotator's Behavior and Ground Truth Labeling. - (Withdrawn) 1D CNN Based Network Intrusion Detection with Normalization on Imbalanced Data.
- Xi Chen, Zuoxin Li, Ye Yuan, Gang Yu, Jianxin Shen, Donglian Qi:
State-Aware Tracker for Real-Time Video Object Segmentation. - Tingting Chen, Yiming Ma, Xiande Zhang:
Optimal Constant-Weight Codes under l1-Metric. - Alexander Jung, Pedro H. J. Nardelli:
An Information-Theoretic Approach to Personalized Explainable Machine Learning. - Pongsaphol Pongsawakul:
An Algorithm for Consensus Trees. - Barbara Kaltenbacher, William Rundell:
The Inverse Problem of Reconstructing Reaction-Diffusion Systems. - Xu Yan, Chaoda Zheng, Zhen Li, Sheng Wang, Shuguang Cui:
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling. - Chao Wang, Ruo-Ze Liu, Han-Jia Ye, Yang Yu:
Novelty-Prepared Few-Shot Classification. - Seungmo Kim, Tsigigenet Dessalgn:
Mitigation of Civilian-to-Military Interference in DSRC for Urban Operations. - Yongjian Chen, Lei Tai, Kai Sun, Mingyang Li:
MonoPair: Monocular 3D Object Detection Using Pairwise Spatial Relationships. - Lichao Sun, Yingbo Zhou, Philip S. Yu, Caiming Xiong:
Differentially Private Deep Learning with Smooth Sensitivity. - Yifan Chen, Han Wang, Xiaolu Sun, Bin Fan, Chu Tang:
Deep Attention Aware Feature Learning for Person Re-Identification. - Dan Halperin, Sariel Har-Peled, Kurt Mehlhorn, Eunjin Oh, Micha Sharir:
The Maximum-Level Vertex in an Arrangement of Lines. - Zhenbo Xu, Wei Zhang, Xiaoqing Ye, Xiao Tan, Wei Yang, Shilei Wen, Errui Ding, Ajin Meng, Liusheng Huang:
ZoomNet: Part-Aware Adaptive Zooming Neural Network for 3D Object Detection. - Uday Bondhugula:
High Performance Code Generation in MLIR: An Early Case Study with GEMM. - Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic:
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization. - Liang Du, Jingang Tan, Xiangyang Xue, Lili Chen, Hongkai Wen, Jianfeng Feng, Jiamao Li, Xiaolin Zhang:
3DCFS: Fast and Robust Joint 3D Semantic-Instance Segmentation via Coupled Feature Selection. - Marek Kwiek, Wojciech Roszka:
Gender Disparities in International Research Collaboration: A Large-scale Bibliometric Study of 25, 000 University Professors. - Ayush Bahuguna, Ashutosh Bhatia, Kamlesh Tiwari, Deepak Vishwakarma:
User profiling using smartphone network traffic analysis. - Jeevan Manavalan, Prabhakar Ray, Matthew Howard:
Exploiting Ergonomic Priors in Human-to-Robot Task Transfer. - Yiding Feng, Jason D. Hartline, Yingkai Li:
Simple Mechanisms for Non-linear Agents. - Yuan Zhou, Dandan Li, Shuwei Huo, Sun-Yuan Kung:
Soft-Root-Sign Activation Function. - George Dasoulas, Giannis Nikolentzos, Kevin Scaman, Aladin Virmaux, Michalis Vazirgiannis:
Ego-based Entropy Measures for Structural Representations. - Giordano Da Lozzo, Anthony D'Angelo, Fabrizio Frati:
On the Area Requirements of Planar Greedy Drawings of Triconnected Planar Graphs. - Kshitij Bakliwal, Sai Ravela:
The Sloop System for Individual Animal Identification with Deep Learning. - Mark Bun, Roi Livni, Shay Moran:
An Equivalence Between Private Classification and Online Prediction. - Farzad Aalipour, Tuhin Das:
Proportional Power Sharing Control of Distributed Generators in Microgirds. - Franck Assous, Moshe Lin:
Time Reversal for elastic scatterer location from Acoustic Recording. - Shravan Narayan, Craig Disselkoen, Tal Garfinkel, Nathan Froyd, Eric Rahm, Sorin Lerner, Hovav Shacham, Deian Stefan:
Retrofitting Fine Grain Isolation in the Firefox Renderer (Extended Version). - Frederik Hasecke, Lukas Hahn, Anton Kummert:
Fast Lidar Clustering by Density and Connectivity. - Vidhisha Balachandran, Artidoro Pagnoni, Jay Yoon Lee, Dheeraj Rajagopal, Jaime G. Carbonell, Yulia Tsvetkov:
StructSum: Incorporating Latent and Explicit Sentence Dependencies for Single Document Summarization. - Yaohui Chen, Sing Le, Qiao Chu Tan, Oscar Lau, Fang Wan, Chaoyang Song:
A Lobster-inspired Robotic Glove for Hand Rehabilitation. - Tommaso Gagliardoni, Juliane Krämer, Patrick Struck:
Quantum Indistinguishability for Public Key Encryption. - David Daly, William Brown, Henrik Ingo, Jim O'Leary, David Bradford:
Change Point Detection in Software Performance Testing. - Yaohui Chen, Sing Le, Qiao Chu Tan, Oscar Lau, Fang Wan, Chaoyang Song:
A Reconfigurable Hybrid Actuator with Rigid and Soft Components. - Maike Lorena Stern, Hans Lindberg, Klaus Meyer-Wegener:
Rethinking Fully Convolutional Networks for the Analysis of Photoluminescence Wafer Images. - Dat Thanh Tran, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Data Normalization for Bilinear Structures in High-Frequency Financial Time-series. - Yaohui Chen, Sing Le, Qiao Chu Tan, Oscar Lau, Chaoyang Song:
A Lobster-inspired Hybrid Actuator With Rigid and Soft Components. - Siheng Chen, Baoan Liu, Chen Feng, Carlos Vallespi-Gonzalez, Carl Wellington:
3D Point Cloud Processing and Learning for Autonomous Driving. - Mónica Ribero, Jette Henderson, Sinead Williamson, Haris Vikalo:
Federating Recommendations Using Differentially Private Prototypes. - Jun Han, Fan Ding, Xianglong Liu, Lorenzo Torresani, Jian Peng, Qiang Liu:
Stein Variational Inference for Discrete Distributions. - Haris Aziz, Nisarg Shah:
Participatory Budgeting: Models and Approaches. - Dongrui Wu:
MBGD-RDA Training and Rule Pruning for Concise TSK Fuzzy Regression Models. - Henrique Ferrolho, Wolfgang Merkt, Vladimir Ivan, Wouter Wolfslag, Sethu Vijayakumar:
Optimizing Dynamic Trajectories for Robustness to Disturbances Using Polytopic Projections. - Laia Amorós, Syed Mahbub Hafiz, Keewoo Lee, M. Caner Tol:
Gimme That Model!: A Trusted ML Model Trading Protocol. - Hua Wei, Zhenhui Li:
Learning to Simulate Human Movement. - S. Cliff Liu, Robert E. Tarjan, Peilin Zhong:
Connected Components on a PRAM in Log Diameter Time. - Xingtong Liu, Yiping Zheng, Benjamin Killeen, Masaru Ishii, Gregory D. Hager, Russell H. Taylor, Mathias Unberath:
Extremely Dense Point Correspondences using a Learned Feature Descriptor. - Chenghao Deng, Jing Yang, Changyong Pan:
Timely Synchronization with Sporadic Status Changes. - Mahak Goindani, Jennifer Neville:
Cluster-Based Social Reinforcement Learning. - Cristian Camilo Beltran-Hernandez, Damien Petit, Ixchel Georgina Ramirez-Alpizar, Takayuki Nishi, Shinichi Kikuchi, Takamitsu Matsubara, Kensuke Harada:
Learning Contact-Rich Manipulation Tasks with Rigid Position-Controlled Robots: Learning to Force Control. - Thu Dinh, Bao Wang, Andrea L. Bertozzi, Stanley J. Osher:
Sparsity Meets Robustness: Channel Pruning for the Feynman-Kac Formalism Principled Robust Deep Neural Nets. - Hesham Mostafa, Marcel Nassar:
Permutohedral-GCN: Graph Convolutional Networks with Global Attention. - Fang Xu, Shijie Lin, Wen Yang, Lei Yu, Dengxin Dai, Gui-Song Xia:
Matching Neuromorphic Events and Color Images via Adversarial Learning. - Jin Liu, Shunping Ji:
A Novel Recurrent Encoder-Decoder Structure for Large-Scale Multi-view Stereo Reconstruction from An Open Aerial Dataset. - Chenhao Niu, Yang Song, Jiaming Song, Shengjia Zhao, Aditya Grover, Stefano Ermon:
Permutation Invariant Graph Generation via Score-Based Generative Modeling. - Hengyi Cai, Hongshen Chen, Cheng Zhang, Yonghao Song, Xiaofang Zhao, Yangxi Li, Dongsheng Duan, Dawei Yin:
Learning from Easy to Complex: Adaptive Multi-curricula Learning for Neural Dialogue Generation. - Hiroki Kawai, Jiawei Chen, Prakash Ishwar, Janusz Konrad:
VAE/WGAN-Based Image Representation Learning For Pose-Preserving Seamless Identity Replacement In Facial Images. - Gang Bao, Yiwen Lin:
Inverse scattering by a random periodic structure. - Noptanit Chotisarn, Leonel Merino, Xu Zheng, Supaporn Lonapalawong, Tianye Zhang, Mingliang Xu, Wei Chen:
A Systematic Literature Review of Modern Software Visualization. - Miika Hannula, Juha Kontinen, Jan Van den Bussche, Jonni Virtema:
Descriptive complexity of real computation and probabilistic independence logic. - Yusuke Koda, Jihong Park, Mehdi Bennis, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura:
Communication-Efficient Multimodal Split Learning for mmWave Received Power Prediction. - Piyush Jain, Sean C. P. Coogan, Sriram Ganapathi Subramanian, Mark Crowley, Steve Taylor, Mike D. Flannigan:
A review of machine learning applications in wildfire science and management. - Beixiong Zheng, Changsheng You, Rui Zhang:
Intelligent Reflecting Surface Assisted Multi-User OFDMA: Channel Estimation and Training Design. - Zuyao Chen, Qianqian Xu, Runmin Cong, Qingming Huang:
Global Context-Aware Progressive Aggregation Network for Salient Object Detection. - Mucong Ding, Constantinos Daskalakis, Soheil Feizi:
Subadditivity of Probability Divergences on Bayes-Nets with Applications to Time Series GANs. - Wei Jin, Yaxin Li, Han Xu, Yiqi Wang, Jiliang Tang:
Adversarial Attacks and Defenses on Graphs: A Review and Empirical Study. - Eunji Jun, Ahmad Wisnu Mulyadi, Jaehun Choi, Heung-Il Suk:
Uncertainty-Gated Stochastic Sequential Model for EHR Mortality Prediction. - Xusheng Luo, Yan Zhang, Michael M. Zavlanos:
Socially-Aware Robot Planning via Bandit Human Feedback. - Shuang Qiu, Xiaohan Wei, Zhuoran Yang, Jieping Ye, Zhaoran Wang:
Upper Confidence Primal-Dual Optimization: Stochastically Constrained Markov Decision Processes with Adversarial Losses and Unknown Transitions. - Ahmad Wisnu Mulyadi, Eunji Jun, Heung-Il Suk:
Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series. - Marvin Chancán, Michael Milford:
MVP: Unified Motion and Visual Self-Supervised Learning for Large-Scale Robotic Navigation. - Bin Fu:
Hardness of Sparse Sets and Minimal Circuit Size Problem. - Qijing Huang, Ameer Haj-Ali, William S. Moses, John Xiang, Ion Stoica, Krste Asanovic, John Wawrzynek:
AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning. - Kuo-Hao Zeng, Mohammad Shoeybi, Ming-Yu Liu:
Style Example-Guided Text Generation using Generative Adversarial Transformers. - Vladislav Kibalov, Oleg Shipitko:
Safe Speed Control and Collision Probability Estimation Under Ego-Pose Uncertainty for Autonomous Vehicle. - Minghan Chen, Yilong Sun, Xueqing Cai, Boyi Liu, Tenglong Ren:
Design and Implementation of A Novel Precision Irrigation Robot Based on An Intelligent Path Planning Algorithm. - Lumin Yang, Jiajie Zhuang, Hongbo Fu, Kun Zhou, Youyi Zheng:
SketchGCN: Semantic Sketch Segmentation with Graph Convolutional Networks. - Xubo Wang, Lu Qin, Lijun Chang, Ying Zhang, Dong Wen, Xuemin Lin:
Graph3S: A Simple, Speedy and Scalable Distributed Graph Processing System. - Rupam Acharyya, Shouman Das, Ankani Chattoraj, Oishani Sengupta, Md Iftekar Tanveer:
Detection and Mitigation of Bias in Ted Talk Ratings. - David Krueger, Ethan Caballero, Jörn-Henrik Jacobsen, Amy Zhang, Jonathan Binas, Rémi Le Priol, Aaron C. Courville:
Out-of-Distribution Generalization via Risk Extrapolation (REx). - Hailong Liu, Takatsugu Hirayama, Luis Yoichi Morales, Hiroshi Murase:
What Timing for an Automated Vehicle to Communicate Its Driving Intentions to Pedestrians for Improving Their Perception of Safety? - Eshagh Kargar, Ville Kyrki:
Efficient Latent Representations using Multiple Tasks for Autonomous Driving. - Yurui Ren, Xiaoming Yu, Junming Chen, Thomas H. Li, Ge Li:
Deep Image Spatial Transformation for Person Image Generation. - MyeongAh Cho, Taeoh Kim, Ig-Jae Kim, Sangyoun Lee:
Relational Deep Feature Learning for Heterogeneous Face Recognition. - Hao Chen, Weiwei Wan, Keisuke Koyama, Kensuke Harada:
Planning to Build Soma Blocks Using a Dual-arm Robot. - Jianglei Han, Jing Li, Aixin Sun:
UFTR: A Unified Framework for Ticket Routing. - David Tolpin, Yuan Zhou, Hongseok Yang:
Stochastically Differentiable Probabilistic Programs. - Puneet Kohli, Saravana Gunaseelan, Jason Orozco, Yiwen Hua, Edward Li, Nicolas Dahlquist:
GPU-Accelerated Mobile Multi-view Style Transfer. - Jinhong Deng, Wen Li, Yuhua Chen, Lixin Duan:
Unbiased Mean Teacher for Cross Domain Object Detection. - Gaurav Verma, Vishwa Vinay, Sahil Bansal, Shashank Oberoi, Makkunda Sharma, Prakhar Gupta:
Using Image Captions and Multitask Learning for Recommending Query Reformulations. - Sascha Wirges, Ye Yang, Sven Richter, Haohao Hu, Christoph Stiller:
Learned Enrichment of Top-View Grid Maps Improves Object Detection. - Sizhang Dai, Weibing Huang:
A-TVSNet: Aggregated Two-View Stereo Network for Multi-View Stereo Depth Estimation. - Abolfazl Lavaei, Fabio Somenzi, Sadegh Soudjani, Ashutosh Trivedi, Majid Zamani:
Formal Controller Synthesis for Continuous-Space MDPs via Model-Free Reinforcement Learning. - Osama M. Bushnaq, Mustafa A. Kishk, Abdulkadir Çelik, Mohamed-Slim Alouini, Tareq Y. Al-Naffouri:
Cellular Traffic Offloading Through Tethered-UAV Deployment and User Association. - Nicolas Heist, Sven Hertling, Daniel Ringler, Heiko Paulheim:
Knowledge Graphs on the Web - an Overview. - Junfeng Wen, Bo Dai, Lihong Li, Dale Schuurmans:
Batch Stationary Distribution Estimation. - Manuel Arias Chao, Chetan S. Kulkarni, Kai Goebel, Olga Fink:
Fusing Physics-based and Deep Learning Models for Prognostics. - Manuel Penschuck, Ulrik Brandes, Michael Hamann, Sebastian Lamm, Ulrich Meyer, Ilya Safro, Peter Sanders, Christian Schulz:
Recent Advances in Scalable Network Generation. - Adrian-Stefan Ungureanu, Saqib Salahuddin, Peter M. Corcoran:
Towards Unconstrained Palmprint Recognition on Consumer Devices: a Literature Review. - Liang Jiang, Zujie Wen, Zhongping Liang, Yafang Wang, Gerard de Melo, Zhe Li, Liangzhuang Ma, Jiaxing Zhang, Xiaolong Li, Yuan Qi:
Long Short-Term Sample Distillation. - Rafael Hirschburger, Anke Weidlich:
Profitability of Photovoltaic and Battery Systems on Municipal Buildings. - Dat Quoc Nguyen, Anh Tuan Nguyen:
PhoBERT: Pre-trained language models for Vietnamese. - Carlo Guarnieri Calò Carducci, Gianluca Lipari, Nicola Giaquinto, Ferdinanda Ponci, Antonello Monti:
Error Model in Single Board Computer based Phasor Measurement Units. - David Tuckey, Alessandra Russo, Krysia Broda:
A general framework for scientifically inspired explanations in AI. - Antonio Loquercio, Alexey Dosovitskiy, Davide Scaramuzza:
Learning Depth via Interaction. - Mirco Colosi, Irvin Aloise, Tiziano Guadagnino, Dominik Schlegel, Bartolomeo Della Corte, Kai O. Arras, Giorgio Grisetti:
Plug-and-Play SLAM: A Unified SLAM Architecture for Modularity and Ease of Use. - Chengyuan Zhang, Jiacheng Zhu, Wenshuo Wang, Junqiang Xi:
Spatiotemporal Learning of Multivehicle Interaction Patterns in Lane-Change Scenarios. - Guangming Wang, Chi Zhang, Hesheng Wang, Jingchuan Wang, Yong Wang, Xinlei Wang:
Unsupervised Learning of Depth, Optical Flow and Pose with Occlusion from 3D Geometry. - Ringo Baumann:
On the Existence of Characterization Logics and Fundamental Properties of Argumentation Semantics. - Michael Hammann, Maximilian Kraus, Sina Shafaei, Alois C. Knoll:
Identity Recognition in Intelligent Cars with Behavioral Data and LSTM-ResNet Classifier. - Andrea Simonetto:
Smooth Strongly Convex Regression. - Ziliang Lai, Chenxia Han, Chris Liu, Pengfei Zhang, Eric Lo, Ben Kao:
Finding Interesting Frames in Deep Video Analytics: a Top-K Approach. - Pedro Fortón, José Ma Saldaña, Julián Fernández-Navajas, José Ruíz-Mas:
Interfaz Gráfica para la Gestión SDWN de un Entorno WLAN. - Vaggos Chatziafratis, Sai Ganesh Nagarajan, Ioannis Panageas:
Better Depth-Width Trade-offs for Neural Networks through the lens of Dynamical Systems. - Rakesh Kumar, Reena Koundal, K. Srivastava:
New wavelet method based on Shifted Lucas polynomials: A tau approach. - Alexandros Tanzanakis, John Lygeros:
Data-Driven Control of Unknown Systems: A Linear Programming Approach. - Michal Bednarek, Piotr Kicki, Jakub Bednarek, Krzysztof Walas:
Gaining a Sense of Touch. Physical Parameters Estimation using a Soft Gripper and Neural Networks. - Robin Bloomfield, Gareth Fletcher, Heidy Khlaaf, Philippa Ryan, Shuji Kinoshita, Yoshiki Kinoshita, Makoto Takeyama, Yutaka Matsubara, Peter Popov Kazuki Imai, Yoshinori Tsutake:
Towards Identifying and closing Gaps in Assurance of autonomous Road vehicleS - a collection of Technical Notes Part 1. - Robin Bloomfield, Gareth Fletcher, Heidy Khlaaf, Philippa Ryan, Shuji Kinoshita, Yoshiki Kinoshita, Makoto Takeyama, Yutaka Matsubara, Peter Popov Kazuki Imai, Yoshinori Tsutake:
Towards Identifying and closing Gaps in Assurance of autonomous Road vehicleS - a collection of Technical Notes Part 2. - Suilen H. Alvarado:
Design of Mutation Operators for Testing Geographic Information Systems. - Leonardo Fernández-Jambrina:
Characterisation of rational and NURBS developable surfaces in Computer Aided Design. - Muhammad Yaseen, Muneeb Aadil, Maria Sargsyan:
Preventing Clean Label Poisoning using Gaussian Mixture Loss. - Edward Hughes, Thomas W. Anthony, Tom Eccles, Joel Z. Leibo, David Balduzzi, Yoram Bachrach:
Learning to Resolve Alliance Dilemmas in Many-Player Zero-Sum Games. - Alessandro Betti, Benedetto Michelozzi, Andrea Bracci, Andrea Masini:
Real-Time target detection in maritime scenarios based on YOLOv3 model. - Shoeb Siddiqui, Ganesh Vanahalli, Sujit Gujar:
BitcoinF: Achieving Fairness for Bitcoin in Transaction-Fee-Only Model. - Przemyslaw Spurek, Sebastian Winczowski, Jacek Tabor, Maciej Zamorski, Maciej Zieba, Tomasz Trzcinski:
Hypernetwork approach to generating point clouds. - Jialin Liu, Fei Chao, Chih-Min Lin:
Task Augmentation by Rotating for Meta-Learning. - Alexander Egiazarov, Vasileios Mavroeidis, Fabio Massimo Zennaro, Kamer Vishi:
Firearm Detection and Segmentation Using an Ensemble of Semantic Neural Networks. - Jalal Etesami, Philipp Geiger:
Causal Transfer for Imitation Learning and Decision Making under Sensor-shift. - Jay Kumar:
Fake Review Detection Using Behavioral and Contextual Features. - Ammarah Farooq, Muhammad Awais, Fei Yan, Josef Kittler, Ali Akbari, Syed Safwan Khalid:
A Convolutional Baseline for Person Re-Identification Using Vision and Language Descriptions. - Indigo J. D. Orton:
Vision based body gesture meta features for Affective Computing. - Anirudh Itagi, Ritam Sil, Saurav Mohapatra, Subham Rout, Bharath K. P, Karthik R, Rajesh Kumar Muthu:
Medicine Strip Identification using 2-D Cepstral Feature Extraction and Multiclass Classification Methods. - Bingquan Zhu, Hao Fang, Yanan Sui, Luming Li:
Deepfakes for Medical Video De-Identification: Privacy Protection and Diagnostic Information Preservation. - Hao Wang, Bin Guo, Wei Wu, Zhiwen Yu:
Towards information-rich, logical text generation with knowledge-enhanced neural models. - Hongyu Wang, Guangcun Shan:
Recognizing Handwritten Mathematical Expressions as LaTex Sequences Using a Multiscale Robust Neural Network. - Zhengyang Zhou, Yang Wang, Xike Xie, Lianliang Chen, Hengchang Liu:
RiskOracle: A Minute-level Citywide Traffic Accident Forecasting Framework. - Sicheng Zhao, Bo Li, Xiangyu Yue, Pengfei Xu, Kurt Keutzer:
MADAN: Multi-source Adversarial Domain Aggregation Network for Domain Adaptation. - Maximilian Lam, Zachary Yedidia, Colby R. Banbury, Vijay Janapa Reddi:
Quantized Neural Network Inference with Precision Batching. - Abhijeet Patil, Dipesh Tamboli, Swati Meena, Deepak Anand, Amit Sethi:
Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learning. - Gengchen Mai, Krzysztof Janowicz, Bo Yan, Rui Zhu, Ling Cai, Ni Lao:
Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells. - Bilal Hassan, Ramsha Ahmed, Taimur Hassan, Naoufel Werghi:
SIP-SegNet: A Deep Convolutional Encoder-Decoder Network for Joint Semantic Segmentation and Extraction of Sclera, Iris and Pupil based on Periocular Region Suppression. - Akshat Gautam, Muhammed Ali Sit, Ibrahim Demir:
Realistic River Image Synthesis using Deep Generative Adversarial Networks. - Laleh Seyyed-Kalantari, Guanxiong Liu, Matthew B. A. McDermott, Marzyeh Ghassemi:
CheXclusion: Fairness gaps in deep chest X-ray classifiers. - Ines Rieger, Rene Kollmann, Bettina Finzel, Dominik Seuss, Ute Schmid:
Verifying Deep Learning-based Decisions for Facial Expression Recognition. - Mohammad Sayad Haghighi:
Critical Study of Markovian Approaches for Batch Arrival Modeling in IEEE 802.15.4-based Networks. - Qingfeng Liu, Mostafa El-Khamy, Dongwoon Bai, Jungwon Lee:
GSANet: Semantic Segmentation with Global and Selective Attention. - Kangying Li, Biligsaikhan Batjargal, Akira Maeda:
Character Segmentation in Asian Collector's Seal Imprints: An Attempt to Retrieval Based on Ancient Character Typeface. - Sicheng Zhao, Yunsheng Ma, Yang Gu, Jufeng Yang, Tengfei Xing, Pengfei Xu, Runbo Hu, Hua Chai, Kurt Keutzer:
An End-to-End Visual-Audio Attention Network for Emotion Recognition in User-Generated Videos. - Gabriela Y. Kimura, Diego Rafael Lucio, Alceu S. Britto Jr., David Menotti:
CNN Hyperparameter tuning applied to Iris Liveness Detection. - Yansel González Tejeda, Helmut Mayer:
CALVIS: chest, waist and pelvis circumference from 3D human body meshes as ground truth for deep learning. - (Withdrawn) Deep Variational Luenberger-type Observer for Stochastic Video Prediction.
- Herman Stavelin, Adil Rasheed, Omer San, Arne Johan Hestnes:
Marine life through You Only Look Once's perspective. - Farid Ghareh Mohammadi, M. Hadi Amini, Hamid R. Arabnia:
On Parameter Tuning in Meta-learning for Computer Vision. - Han Fu, Yunyu Bai, Zhuo Li, Jun Shen, Jianling Sun:
A Machine Learning Framework for Data Ingestion in Document Images. - Bin Fang, Xingming Long, Yifan Zhang, GuoYi Luo, Fuchun Sun, Huaping Liu:
Fabric Defect Detection Using Vision-Based Tactile Sensor. - Abhishek Saroha, Avichal Rakesh, Rajiv Kumar Tripathi:
FPGA Implementation of Minimum Mean Brightness Error Bi-Histogram Equalization. - Changmin Wu, Giannis Nikolentzos, Michalis Vazirgiannis:
EvoNet: A Neural Network for Predicting the Evolution of Dynamic Graphs. - Peng Hu, Xiusheng Liu:
A new method for constructing EAQEC MDS codes. - Moses Charikar, Kirankumar Shiragur, Aaron Sidford:
A General Framework for Symmetric Property Estimation. - Saneem Ahmed Chemmengath, Samarth Bharadwaj, Soumava Paul, Suranjana Samanta, Karthik Sankaranarayanan:
Addressing target shift in zero-shot learning using grouped adversarial learning. - Stephan Rave, Jens Saak:
An Instationary Thermal-Block Benchmark Model for Parametric Model Order Reduction. - Haoyu Chen, Minggui Teng, Boxin Shi, Yizhou Wang, Tiejun Huang:
Learning to Deblur and Generate High Frame Rate Video with an Event Camera. - Yao Mu, Shengbo Eben Li, Chang Liu, Qi Sun, Bingbing Nie, Bo Cheng, Baiyu Peng:
Mixed Reinforcement Learning with Additive Stochastic Uncertainty. - Seungjun Lee:
Deep Learning on Radar Centric 3D Object Detection. - Quentin Mérigot, Boris Thibert:
Optimal transport: discretization and algorithms. - Chenxi Xiao, Juan P. Wachs:
Triangle-Net: Towards Robustness in Point Cloud Classification. - Qiaolin Xia, Xiujun Li, Chunyuan Li, Yonatan Bisk, Zhifang Sui, Jianfeng Gao, Yejin Choi, Noah A. Smith:
Multi-View Learning for Vision-and-Language Navigation. - Aaqif Afzaal Abbasi, Shahab Shamshirband, Mohammed Abdulaziz Aide Al-qaness, Almas Abbasi, Nashat T. AL-Jallad, Amir Mosavi:
Resource-Aware Network Topology Management Framework. - Grace Li Zhang, Bing Li, Meng Li, Bei Yu, David Z. Pan, Michaela Brunner, Georg Sigl, Ulf Schlichtmann:
TimingCamouflage+: Netlist Security Enhancement with Unconventional Timing (with Appendix). - Haotian Zhang, Jianyong Sun, Zongben Xu:
Adaptive Structural Hyper-Parameter Configuration by Q-Learning. - Ezekiel O. Soremekun, Sakshi Udeshi, Sudipta Chattopadhyay, Andreas Zeller:
Exposing Backdoors in Robust Machine Learning Models. - Dinh C. Nguyen, Peng Cheng, Ming Ding, David López-Pérez, Pubudu N. Pathirana, Jun Li, Aruna Seneviratne, Yonghui Li, H. Vincent Poor:
Wireless AI: Enabling an AI-Governed Data Life Cycle. - Myeongjin Kim, Hyeran Byun:
Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation. - Fatemeh Sarkohaki, Reza Fotohi, Vahab Ashrafian:
An Efficient Routing Protocol in Mobile Ad-hoc Networks by using Artificial Immune System. - Shahram Behzad, Reza Fotohi, Jaber Hosseini Balov, Mohammad Javad Rabipour:
An Artificial Immune Based Approach for Detection and Isolation Misbehavior Attacks in Wireless Networks. - Zilong Huang, Yunchao Wei, Xinggang Wang, Wenyu Liu, Thomas S. Huang, Humphrey Shi:
AlignSeg: Feature-Aligned Segmentation Networks. - Jinfu Lin, Xiaojian He:
Few-shot Learning with Weakly-supervised Object Localization. - Jian Ma:
Predicting TUG score from gait characteristics based on video analysis and machine learning. - Chuanxing Geng, Zhenghao Tan, Songcan Chen:
A Multi-view Perspective of Self-supervised Learning. - Daniel E. Acuna, Ziyue Xiang:
Estimating a Null Model of Scientific Image Reuse to Support Research Integrity Investigations. - Stanton R. Price, Steven R. Price, Derek T. Anderson:
Introducing Fuzzy Layers for Deep Learning. - Freddie Bickford Smith, Xiaoliang Luo, Brett D. Roads, Bradley C. Love:
The perceptual boost of visual attention is task-dependent in naturalistic settings. - Camilo Pestana, Naveed Akhtar, Wei Liu, David G. Glance, Ajmal Mian:
Adversarial Perturbations Prevail in the Y-Channel of the YCbCr Color Space. - Guus Engels, Nerea Aranjuelo, Ignacio Arganda-Carreras, Marcos Nieto, Oihana Otaegui:
3D Object Detection From LiDAR Data Using Distance Dependent Feature Extraction. - Steffen Wolf, Fred A. Hamprecht, Jan Funke:
Instance Separation Emerges from Inpainting. - Xinyi Zhang, Hang Dong, Zhe Hu, Wei-Sheng Lai, Fei Wang, Ming-Hsuan Yang:
Gated Fusion Network for Degraded Image Super Resolution. - Yuxuan Liang, Kun Ouyang, Junbo Zhang, Yu Zheng, David S. Rosenblum:
Revisiting Convolutional Neural Networks for Urban Flow Analytics. - Kate Wilkinson, George Cevora:
Demonstrating Rosa: the fairness solution for any Data Analytic pipeline. - Memo Akten, Rebecca Fiebrink, Mick Grierson:
Learning to See: You Are What You See. - Peter Robinson, Raghavendra Ramesh, John Brainard, Sandra Johnson:
Atomic Crosschain Transactions White Paper. - Andreas Robinson, Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
Learning Fast and Robust Target Models for Video Object Segmentation. - Memo Akten, Rebecca Fiebrink, Mick Grierson:
Deep Meditations: Controlled navigation of latent space. - Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He:
A Survey on Knowledge Graph-Based Recommender Systems. - Bert Abrath, Bart Coppens, Jens Van den Broeck, Brecht Wyseur, Alessandro Cabutto, Paolo Falcarin, Bjorn De Sutter:
Code Renewability for Native Software Protection. - Soodeh Atefi, Andrew Truelove, Matheus Rheinschmitt, Eduardo Santana de Almeida, Iftekhar Ahmed, Amin Alipour:
Examining user reviews of conversational systems: a case study of Alexa skills. - Vivien Cabannes, Alessandro Rudi, Francis R. Bach:
Structured Prediction with Partial Labelling through the Infimum Loss. - Teus H. Kappen, Mirko Noordegraaf, Wilton A. van Klei, Karel G. M. Moons, Cor J. Kalkman:
Decision Support in the Context of a Complex Decision Situation. - Yelena Mejova, Kyriaki Kalimeri:
Advertisers Jump on Coronavirus Bandwagon: Politics, News, and Business. - Lukas Schaupp, Patrick Pfreundschuh, Mathias Bürki, Cesar Cadena, Roland Siegwart, Juan I. Nieto:
MOZARD: Multi-Modal Localization for Autonomous Vehicles in Urban Outdoor Environments. - Andreas Fischbach, Jan Strohschein, Andreas Bunte, Jörg Stork, Heide Faeskorn-Woyke, Natalia Moriz, Thomas Bartz-Beielstein:
CAAI - A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems. - Hossein Rahmani, Sajjad Arshad, Mohsen Ebrahimi Moghaddam:
A Disk Scheduling Algorithm Based on ANT Colony Optimization. - George Rautenbach, C. Maria Keet:
Toward equipping Artificial Moral Agents with multiple ethical theories. - Yi-Rui Yang, Wu-Jun Li:
BASGD: Buffered Asynchronous SGD for Byzantine Learning. - Fedor V. Fomin, Daniel Lokshtanov, Fahad Panolan, Saket Saurabh, Meirav Zehavi:
ETH-Tight Algorithms for Long Path and Cycle on Unit Disk Graphs. - Adrià Arbués Sangüesa, Adrián Martín, Javier Fernández, Carlos Rodríguez, Gloria Haro, Coloma Ballester:
Always Look on the Bright Side of the Field: Merging Pose and Contextual Data to Estimate Orientation of Soccer Players. - Steve Huntsman:
Generalizing cyclomatic complexity via path homology. - Piotr Kicki, Tomasz Gawron, Piotr Skrzypczynski:
A Self-Supervised Learning Approach to Rapid Path Planning for Car-Like Vehicles Maneuvering in Urban Environment. - Okan Köpüklü, Thomas Ledwon, Yao Rong, Neslihan Kose, Gerhard Rigoll:
DriverMHG: A Multi-Modal Dataset for Dynamic Recognition of Driver Micro Hand Gestures and a Real-Time Recognition Framework. - Jary Pomponi, Simone Scardapane, Aurelio Uncini:
Bayesian Neural Networks With Maximum Mean Discrepancy Regularization. - Yueting Chen, Xiaohui Yu, Nick Koudas:
Evaluating Temporal Queries Over Video Feeds. - Cara M. Nunez, Bryce N. Huerta, Allison M. Okamura, Heather Culbertson:
Investigating Social Haptic Illusions for Tactile Stroking (SHIFTS). - Björn Stinner, Andreas Dedner, Adam Nixon:
A surface finite element method for computational modelling of cell blebbing. - Gaetano Geck, Frank Neven, Thomas Schwentick:
Distribution Constraints: The Chase for Distributed Data. - Cody Buntain, Richard Bonneau, Jonathan Nagler, Joshua A. Tucker:
YouTube Recommendations and Effects on Sharing Across Online Social Platforms. - Philip H. Kulp, Nikki E. Robinson:
Graphing Website Relationships for Risk Prediction: Identifying Derived Threats to Users Based on Known Indicators. - Ashish Dandekar, Debabrota Basu, Stéphane Bressan:
Differential Privacy at Risk: Bridging Randomness and Privacy Budget. - Philippe Caillou, Jonas Renault, Jean-Daniel Fekete, Anne-Catherine Letournel, Michèle Sebag:
Cartolabe: A Web-Based Scalable Visualization of Large Document Collections. - Kristopher Ambrose, Steve Huntsman, Michael Robinson, Matvey Yutin:
Topological Differential Testing. - Ye Lyu, Michael Ying Yang, George Vosselman, Guisong Xia:
Plug & Play Convolutional Regression Tracker for Video Object Detection. - Vijay Prakash Dwivedi, Chaitanya K. Joshi, Thomas Laurent, Yoshua Bengio, Xavier Bresson:
Benchmarking Graph Neural Networks. - Tahleen A. Rahman, Mario Fritz, Michael Backes, Yang Zhang:
Everything About You: A Multimodal Approach towards Friendship Inference in Online Social Networks. - Javier Garcia-Barcos, Ruben Martinez-Cantin:
Robust Policy Search for Robot Navigation with Stochastic Meta-Policies. - Suat Gumussoy, Hitay Özbay:
Control of Systems with Infinitely Many Unstable Modes and Strongly Stabilizing Controllers Achieving a Desired Sensitivity. - Md. Ferdous Pervej, Shih-Chun Lin:
Eco-Vehicular Edge Networks for Connected Transportation: A Decentralized Multi-Agent Reinforcement Learning Approach. - Jennifer D'Souza, Anett Hoppe, Arthur Brack, Mohamad Yaser Jaradeh, Sören Auer, Ralph Ewerth:
The STEM-ECR Dataset: Grounding Scientific Entity References in STEM Scholarly Content to Authoritative Encyclopedic and Lexicographic Sources. - Eden Abadi, Ronen I. Brafman:
Learning and Solving Regular Decision Processes. - Kasturi Vasudevan, A. Phani Kumar Reddy, Gyanesh Kumar Pathak, Shivani Singh:
On the Probability of Erasure for MIMO-OFDM. - Axel Kröner, Heiko Kröner:
Estimates of constants in error estimates for H2 conforming finite elements for regularized nonlinear elliptic geometric evolution equations and question of optimality. - Rachid Riad, Anne-Catherine Bachoud-Lévi, Frank Rudzicz, Emmanuel Dupoux:
Identification of primary and collateral tracks in stuttered speech. - Haoran Su, Joseph Y. J. Chow, Li Jin:
V2I Connectivity-Based Dynamic Queue-Jumper Lane for Emergency Vehicles: An Approximate Dynamic Programming Approach. - Qiugang Lu, Sungho Shin, Victor M. Zavala:
Characterizing the Predictive Accuracy of Dynamic Mode Decomposition for Data-Driven Control. - Giorgio Severi, Jim Meyer, Scott E. Coull, Alina Oprea:
Exploring Backdoor Poisoning Attacks Against Malware Classifiers. - Ignacio Abadia, Francisco Naveros, Jesús Alberto Garrido, Eduardo Ros, Niceto R. Luque:
On robot compliance. A cerebellar control approach. - Vincent Lostanlen, Alice Cohen-Hadria, Juan Pablo Bello:
One or Two Components? The Scattering Transform Answers. - Jacob Miller, Guillaume Rabusseau, John Terilla:
Tensor Networks for Language Modeling. - Chuangchuang Sun, Macheng Shen, Jonathan P. How:
Scaling Up Multiagent Reinforcement Learning for Robotic Systems: Learn an Adaptive Sparse Communication Graph. - Ayush Kumar, Jithendra Vepa:
Gated Mechanism for Attention Based Multimodal Sentiment Analysis. - Andrew D. Kercher, Andrew Corrigan:
A Least-Squares Formulation of the Moving Discontinuous Galerkin Finite Element Method with Interface Condition Enforcement. - Stéphane d'Ascoli, Maria Refinetti, Giulio Biroli, Florent Krzakala:
Double Trouble in Double Descent : Bias and Variance(s) in the Lazy Regime. - Nan Yang, Lukas von Stumberg, Rui Wang, Daniel Cremers:
D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry. - Zhe Ji, Lin Fu, Xiangyu Hu, Nikolaus A. Adams:
A Feature-aware SPH for Isotropic Unstructured Mesh Generation. - Venkatraman Narayanan, Bala Murali Manoghar, Vishnu Sashank Dorbala, Dinesh Manocha, Aniket Bera:
ProxEmo: Gait-based Emotion Learning and Multi-view Proxemic Fusion for Socially-Aware Robot Navigation. - Sepanta Zeighami, Raymond Chi-Wing Wong:
Bridging the Gap Between Theory and Practice on Insertion-Intensive Database. - Naji Shajarisales, Peter Spirtes, Kun Zhang:
Learning from Positive and Unlabeled Data by Identifying the Annotation Process. - Ashish Rao, Bidipta Sarkar, Tejas Narayanan:
Gaussian Process Policy Optimization. - Christoph Berkholz, Nicole Schweikardt:
Constant delay enumeration with FPT-preprocessing for conjunctive queries of bounded submodular width. - Murat Saglam, Sami Ezercan, Suat Gumussoy, Hitay Özbay:
Controller Tuning for Active Queue Management Using a Parameter Space Method. - Joseph Ben Geloun, Camille Coti, Allen D. Malony:
On-the-fly Optimization of Parallel Computation of Symbolic Symplectic Invariants. - Lixia Yan, Baoli Ma:
Distributed Leader-Follower Formation Tracking Control of Multiple Quad-rotors. - Rui Shu, Tung Nguyen, Yinlam Chow, Tuan Pham, Khoat Than, Mohammad Ghavamzadeh, Stefano Ermon, Hung H. Bui:
Predictive Coding for Locally-Linear Control. - Suat Gumussoy, Hitay Özbay:
Remarks on Strong Stabilization and Stable H-infinity Controller Design. - Ahmadreza Jeddi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong:
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness. - Dimitrios Chamzas, Konstantinos Moustakas:
3D Augmented Reality Tangible User Interface using Commodity Hardware. - Difan Zou, Philip M. Long, Quanquan Gu:
On the Global Convergence of Training Deep Linear ResNets. - Arnab Paul, Mamdudul Haque Khan, M. Muktadir Rahman, Tanvir Zaman Khan, Prajoy Podder, Md. Yeasir Akram Khan:
Reconfigurable Parallel Architecture of High Speed Round Robin Arbiter. - Linlin Liu, Jianfei Yu, Junming Huang, Feng Xia, Tao Jia:
China may need to support more small teams in scientific research. - Li Xiao, Cheng Zhu, Junjun Liu, Chunlong Luo, Peifang Liu, Yi Zhao:
Learning from Suspected Target: Bootstrapping Performance for Breast Cancer Detection in Mammography. - Muddassar Hussain, Maria Scalabrin, Michele Rossi, Nicolò Michelusi:
Adaptive Millimeter-Wave Communications Exploiting Mobility and Blockage Dynamics. - Yu Zhang, Gongbo Liang, Nathan Jacobs, Xiaoqin Wang:
Unsupervised Domain Adaptation for Mammogram Image Classification: A Promising Tool for Model Generalization. - Jeffrey M. Ede:
Warwick Electron Microscopy Datasets. - Piotr Franciszek Orzechowski, Christoph Burger, Martin Lauer:
Decision-making for automated vehicles using a hierarchical behavior-based arbitration scheme. - Nataly Brukhim, Xinyi Chen, Elad Hazan, Shay Moran:
Online Agnostic Boosting via Regret Minimization. - Tapajit Dey, Audris Mockus:
Which Pull Requests Get Accepted and Why? A study of popular NPM Packages. - Charles Carlson, Ewan Davies, Alexandra Kolla:
Efficient algorithms for the Potts model on small-set expanders. - Hermann Kaindl, Stefan Kramer:
Towards Probability-based Safety Verification of Systems with Components from Machine Learning. - Ali Shafti, Jonas Tjomsland, William Dudley, A. Aldo Faisal:
Real-World Human-Robot Collaborative Reinforcement Learning. - Guangzhi Tang, Neelesh Kumar, Konstantinos P. Michmizos:
Reinforcement co-Learning of Deep and Spiking Neural Networks for Energy-Efficient Mapless Navigation with Neuromorphic Hardware. - Chen Jiang, Masood Dehghan, Martin Jägersand:
Understanding Contexts Inside Robot and Human Manipulation Tasks through a Vision-Language Model and Ontology System in a Video Stream. - Daixin Wang, Jianbin Lin, Peng Cui, Quanhui Jia, Zhen Wang, Yanming Fang, Quan Yu, Jun Zhou, Shuang Yang, Yuan Qi:
A Semi-supervised Graph Attentive Network for Financial Fraud Detection. - Peng Jiang, Srikanth Saripalli:
LiDARNet: A Boundary-Aware Domain Adaptation Model for Lidar Point Cloud Semantic Segmentation. - Chirag Nagpal, Xinyu Li, Artur Dubrawski:
Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data with Competing Risks. - Anil Shanbhag, Samuel Madden, Xiangyao Yu:
A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics (Extended Version). - Stefano Alletto, Shenyang Huang, Vincent François-Lavet, Yohei Nakata, Guillaume Rabusseau:
RandomNet: Towards Fully Automatic Neural Architecture Design for Multimodal Learning. - Jingxiu Yao, Martin J. Shepperd:
Assessing Software Defection Prediction Performance: Why Using the Matthews Correlation Coefficient Matters. - Kyongmin Yeo, Dylan E. C. Grullon, Fan-Keng Sun, Duane S. Boning, Jayant R. Kalagnanam:
Variational inference formulation for a model-free simulation of a dynamical system with unknown parameters by a recurrent neural network. - Marija Jegorova, Joshua Smith, Michael N. Mistry, Timothy M. Hospedales:
Adversarial Generation of Informative Trajectories for Dynamics System Identification. - Nimish M. Awalgaonkar, Haining Zheng, Christopher S. Gurciullo:
DEEVA: A Deep Learning and IoT Based Computer Vision System to Address Safety and Security of Production Sites in Energy Industry. - Wenhao Ding, Minjun Xu, Ding Zhao:
Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method. - Amirsina Torfi, Rouzbeh A. Shirvani, Yaser Keneshloo, Nader Tavaf, Edward A. Fox:
Natural Language Processing Advancements By Deep Learning: A Survey. - Siddhartha V. Jayanti, Robert E. Tarjan:
Concurrent Disjoint Set Union. - Aosong Feng, Priyadarshini Panda:
Energy-efficient and Robust Cumulative Training with Net2Net Transformation. - Ann E. Nicholson, Kevin B. Korb, Erik P. Nyberg, Michael Wybrow, Ingrid Zukerman, Steven Mascaro, Shreshth Thakur, Abraham Oshni Alvandi, Jeff Riley, Ross Pearson, Shane Morris, Matthieu Herrmann, A. K. M. Azad, Fergus Bolger, Ulrike Hahn, David A. Lagnado:
BARD: A structured technique for group elicitation of Bayesian networks to support analytic reasoning. - Sheng Chen, Jie Shen:
Log orthogonal functions: approximation properties and applications. - Subodh Mishra, Gaurav Pandey, Srikanth Saripalli:
Extrinsic Calibration of a 3D-LIDAR and a Camera. - Thoria Alghamdi, Gita Alaghband:
High Performance Parallel Sort for Shared and Distributed Memory MIMD. - Yuhua Chen, Anthony G. Christodoulou, Zhengwei Zhou, Feng Shi, Yibin Xie, Debiao Li:
MRI Super-Resolution with GAN and 3D Multi-Level DenseNet: Smaller, Faster, and Better. - Armin Ziaie Tabari, Xinming Ou:
A First Step Towards Understanding Real-world Attacks on IoT Devices. - Xiaodong Yang, Hoang-Dung Tran, Weiming Xiang, Taylor T. Johnson:
Reachability Analysis for Feed-Forward Neural Networks using Face Lattices. - Marius Hobbhahn, Agustinus Kristiadi, Philipp Hennig:
Fast Predictive Uncertainty for Classification with Bayesian Deep Networks. - Ricardo Garcia-Rosas, Tianshi Yu, Denny Oetomo, Chris Manzie, Ying Tan, Peter Choong:
The Use of Implicit Human Motor Behaviour in the Online Personalisation of Prosthetic Interfaces. - Jose J. Bouza, Chun-Hao Yang, David E. Vaillancourt, Baba C. Vemuri:
MVC-Net: A Convolutional Neural Network Architecture for Manifold-Valued Images With Applications. - Andrés Páez:
Robot Mindreading and the Problem of Trust. - Xingyou Song, Yuxiang Yang, Krzysztof Choromanski, Ken Caluwaerts, Wenbo Gao, Chelsea Finn, Jie Tan:
Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning. - Nathan Bucki, Junseok Lee, Mark W. Mueller:
Rectangular Pyramid Partitioning using Integrated Depth Sensors (RAPPIDS): A Fast Planner for Multicopter Navigation. - Jeet Mohapatra, Ching-Yun Ko, Tsui-Wei Weng, Sijia Liu, Pin-Yu Chen, Luca Daniel:
Rethinking Randomized Smoothing for Adversarial Robustness. - Jason M. Allred, Steven J. Spencer, Gopalakrishnan Srinivasan, Kaushik Roy:
Explicitly Trained Spiking Sparsity in Spiking Neural Networks with Backpropagation. - Weijing Shi, Ragunathan Rajkumar:
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud. - Amartya Shankha Biswas, Michal Dory, Mohsen Ghaffari, Slobodan Mitrovic, Yasamin Nazari:
Massively Parallel Algorithms for Distance Approximation and Spanners. - Zhen Ma, He Xu, Yonghui Zhang, Junlong Chen, Dongbo Zhao, Siqing Chen:
Augmented Reality on the Large Scene Based on a Markerless Registration Framework. - Amir Mahdi Sadeghzadeh, Rasool Jalili, Saeed Shiravi:
Adversarial Network Traffic: Toward Evaluating the Robustness of Deep Learning Based Network Traffic Classification. - Matthew L. Leavitt, Ari S. Morcos:
Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNs. - Elizabeth Harris, Bishnu P. Lamichhane, Quoc Thong Le Gia:
Approximation of noisy data using multivariate splines and finite element methods. - Masakazu Yoshimura, Murilo M. Marinho, Kanako Harada, Mamoru Mitsuishi:
Single-Shot Pose Estimation of Surgical Robot Instruments' Shafts from Monocular Endoscopic Images. - Andrey Kormilitzin, Nemanja Vaci, Qiang Liu, Alejo J. Nevado-Holgado:
Med7: a transferable clinical natural language processing model for electronic health records. - Devi Parikh:
Predicting A Creator's Preferences In, and From, Interactive Generative Art. - Nataniel Ruiz, Sarah Adel Bargal, Stan Sclaroff:
Disrupting Deepfakes: Adversarial Attacks Against Conditional Image Translation Networks and Facial Manipulation Systems. - Mai T. P. Le, Luca Sanguinetti, Emil Björnson, Maria-Gabriella Di Benedetto:
Code-domain NOMA in Massive MIMO: When is it Needed? - Anton Tsitsulin, Marina Munkhoeva, Bryan Perozzi:
Just SLaQ When You Approximate: Accurate Spectral Distances for Web-Scale Graphs. - Hongkai Chen, Nicola Paoletti, Scott A. Smolka, Shan Lin:
MPC-guided Imitation Learning of Neural Network Policies for the Artificial Pancreas. - Junnan Li, Caiming Xiong, Richard Socher, Steven C. H. Hoi:
Towards Noise-resistant Object Detection with Noisy Annotations. - Boris Galkin, Ramy Amer, Erika Fonseca, Luiz A. DaSilva:
Intelligent UAV Base Station Selection in Urban Environments: A Supervised Learning Approach. - Tetsuo Inoshita, Yuichi Nakatani, Katsuhiko Takahashi, Asuka Ishii, Gaku Nakano:
Trained Model Fusion for Object Detection using Gating Network. - Anna Fariha, Ashish Tiwari, Arjun Radhakrishna, Sumit Gulwani, Alexandra Meliou:
Data Invariants: On Trust in Data-Driven Systems. - Mengyuan Lee, Ning Ma, Guanding Yu, Huaiyu Dai:
Accelerating Generalized Benders Decomposition for Wireless Resource Allocation. - Zhaoxin Huan, Yulong Wang, Xiaolu Zhang, Lin Shang, Chilin Fu, Jun Zhou:
Data-Free Adversarial Perturbations for Practical Black-Box Attack. - Saurav Manchanda, Khoa D. Doan, Pranjul Yadav, S. Sathiya Keerthi:
Regression via Implicit Models and Optimal Transport Cost Minimization. - Changhao Sun, Chen Li, Xiaoyan Li:
Gastric histopathology image segmentation using a hierarchical conditional random field. - Lu Wen, Jingliang Duan, Shengbo Eben Li, Shaobing Xu, Huei Peng:
Safe Reinforcement Learning for Autonomous Vehicles through Parallel Constrained Policy Optimization. - Aditeya Pandey, Yixuan Zhang, John A. Guerra-Gomez, Andrea G. Parker, Michelle A. Borkin:
Digital Collaborator: Augmenting Task Abstraction in Visualization Design with Artificial Intelligence. - Qian Chen, Zhu Zhuo, Wen Wang, Qiuyun Xu:
Transfer Learning for Context-Aware Spoken Language Understanding. - Yuanyuan Zhang, Zhengdao Yuan, Qinghua Guo, Zhongyong Wang, Jiangtao Xi, Yonghui Li:
Bayesian Receiver Design for Grant-Free NOMA with Message Passing Based Structured Signal Estimation. - Qian Chen, Mengzhe Chen, Bo Li, Wen Wang:
Controllable Time-Delay Transformer for Real-Time Punctuation Prediction and Disfluency Detection. - Anirban Das, Shigeru Imai, Mike P. Wittie, Stacy Patterson:
Performance Optimization for Edge-Cloud Serverless Platforms via Dynamic Task Placement. - Diogo Pacheco, Alessandro Flammini, Filippo Menczer:
Unveiling Coordinated Groups Behind White Helmets Disinformation. - Douglas Morrison, Peter Corke, Jürgen Leitner:
EGAD! an Evolved Grasping Analysis Dataset for diversity and reproducibility in robotic manipulation. - Yipu Zhao, Justin S. Smith, Sambhu H. Karumanchi, Patricio A. Vela:
Closed-Loop Benchmarking of Stereo Visual-Inertial SLAM Systems: Understanding the Impact of Drift and Latency on Tracking Accuracy. - Jessica Van Brummelen, Kevin Weng, Phoebe Lin, Catherine Yeo:
Convo: What does conversational programming need? An exploration of machine learning interface design. - Yerlan Amanbek, Timur Merembayev, Sanjay Srinivasan:
Framework of Fracture Network Modeling using Conditioned Data with Sequential Gaussian Simulation. - Kishan Panaganti, Dileep M. Kalathil:
Bounded Regret for Finitely Parameterized Multi-Armed Bandits. - Yuepeng Wang, Rushi Shah, Abby Criswell, Rong Pan, Isil Dillig:
Data Migration using Datalog Program Synthesis. - Ziniu Hu, Yuxiao Dong, Kuansan Wang, Yizhou Sun:
Heterogeneous Graph Transformer. - XuZhang, ChenjunZhou, Bo Gu:
ADWPNAS: Architecture-Driven Weight Prediction for Neural Architecture Search. - Xiaogang Zhu:
Numerical solution of the general high-dimensional multi-term time-space-fractional diffusion equations. - Jingyuan Yang, Guang Liu, Yuzhao Mao, Zhiwei Zhao, Weiguo Gao, Xuan Li, Haiqin Yang, Jianping Shen:
Hierarchical Context Enhanced Multi-Domain Dialogue System for Multi-domain Task Completion. - Shuyan Zhou, Shruti Rijhwani, John Wieting, Jaime G. Carbonell, Graham Neubig:
Improving Candidate Generation for Low-resource Cross-lingual Entity Linking. - Haijian Sun, Xiang Ma, Rose Qingyang Hu:
Adaptive Federated Learning With Gradient Compression in Uplink NOMA. - Muhammad Nabeel Asim, Muhammad Usman Ghani, Muhammad Ali Ibrahim, Sheraz Ahmed, Waqar Mahmood, Andreas Dengel:
Benchmark Performance of Machine And Deep Learning Based Methodologies for Urdu Text Document Classification. - Mingxuan Yue, Yaguang Li, Haoze Yang, Ritesh Ahuja, Yao-Yi Chiang, Cyrus Shahabi:
DETECT: Deep Trajectory Clustering for Mobility-Behavior Analysis. - Liang Xu, Xuanwei Zhang, Qianqian Dong:
CLUECorpus2020: A Large-scale Chinese Corpus for Pre-training Language Model. - Gary P. T. Choi, Di Qiu, Lok Ming Lui:
Shape analysis via inconsistent surface registration. - Hualie Jiang, Laiyan Ding, Rui Huang:
DiPE: Deeper into Photometric Errors for Unsupervised Learning of Depth and Ego-motion from Monocular Videos. - Mohit Lamba, Kaushik Mitra:
multi-patch aggregation models for resampling detection. - Samarth Sinha, Animesh Garg, Hugo Larochelle:
Curriculum By Texture. - Jack Collins, Ross Brown, Jürgen Leitner, David Howard:
Traversing the Reality Gap via Simulator Tuning. - Qichen Li, Xiaoke Jiang, Jun Xia, Jian Li:
Meta-Embeddings Based On Self-Attention. - Haozhe Wang, Jiale Zhou, Xuming He:
Learning Context-aware Task Reasoning for Efficient Meta-reinforcement Learning. - S. R. Siva Prasad Kochi, M. Ramakrishna:
Shock capturing with discontinuous Galerkin Method using Overset grids for two-dimensional Euler equations. - Bernadette Spieler, Naomi Pfaff, Stefania Makrygiannaki, Wolfgang Slany:
The Magic Word: A Coding Tutorial-Game to Engage Female Teenagers in App Design. - Hao Wu, Jan Paul Siebert:
Fully Convolutional Networks for Automatically Generating Image Masks to Train Mask R-CNN. - William Agnew, Pedro Domingos:
Self-Supervised Object-Level Deep Reinforcement Learning. - Matilde Boschiero, Marco Giordani, Michele Polese, Michele Zorzi:
Coverage Analysis of UAVs in Millimeter Wave Networks: A Stochastic Geometry Approach. - Elene Anton, Urtzi Ayesta, Matthieu Jonckheere, Ina Maria Verloop:
Improving the performance of heterogeneous data centers through redundancy. - Priyanto Hidayatullah, Xueting Wang, Toshihiko Yamasaki, Tati Latifah Rajab Mengko, Rinaldi Munir, Anggraini Barlian, Eros Sukmawati, Supraptono Supraptono:
DeepSperm: A robust and real-time bull sperm-cell detection in densely populated semen videos. - Junqiang Cheng, Chenglu Jia, Hui Gao, Wenjun Xu, Zhisong Bie:
OTFS Based Receiver Scheme With Multi-Antennas in High-Mobility V2X Systems. - Jimmy Etienne, Sylvain Lefebvre:
Procedural band patterns. - Brijen Thananjeyan, Ashwin Balakrishna, Ugo Rosolia, Joseph E. Gonzalez, Aaron D. Ames, Ken Goldberg:
ABC-LMPC: Safe Sample-Based Learning MPC for Stochastic Nonlinear Dynamical Systems with Adjustable Boundary Conditions. - Ziling Wu, Ping Liu, Zheng Hu, Jun Wang:
CRATOS: Cognition of Reliable Algorithm for Time-series Optimal Solution. - Hao Ge, Xiaoguang Tu, Yanxiang Gong, Mei Xie, Zheng Ma:
What's the relationship between CNNs and communication systems? - Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani:
An Online Learning Framework for Energy-Efficient Navigation of Electric Vehicles. - Wlodzimierz Drabent:
The Prolog Debugger and Declarative Programming. Examples. - Chaehan So:
Understanding the Prediction Mechanism of Sentiments by XAI Visualization. - Claudio Zito:
Aging Touch: Systematic and Unbiased Presentation of Tactile Stimuli. - Samuel Balula, Alexander Liniger, Alisa Rupenyan, John Lygeros:
Reference design for closed loop system optimization. - Federico Altieri, Andrea Pietracaprina, Geppino Pucci, Fabio Vandin:
Scalable Distributed Approximation of Internal Measures for Clustering Evaluation. - Jacques Kaiser, Michael Hoff, Andreas Konle, Juan Camilo Vasquez Tieck, David Kappel, Daniel Reichard, Anand Subramoney, Robert Legenstein, Arne Roennau, Wolfgang Maass, Rüdiger Dillmann:
Embodied Synaptic Plasticity with Online Reinforcement learning. - Dong Liu, Baptiste Cavarec, Lars K. Rasmussen, Jing Yue:
On Dominant Interference in Random Networks and Communication Reliability. - Shanchao Yang, Jing Liu, Kai Wu, Mingming Li:
Learn to Generate Time Series Conditioned Graphs with Generative Adversarial Nets. - Traiko Dinev, Songyan Xin, Wolfgang Merkt, Vladimir Ivan, Sethu Vijayakumar:
Modeling and Control of a Hybrid Wheeled Jumping Robot. - Zhihui Wang, Chongwei Liu, Shijie Wang, Tao Tang, Yulong Tao, Caifei Yang, Haojie Li, Xing Liu, Xin Fan:
UDD: An Underwater Open-sea Farm Object Detection Dataset for Underwater Robot Picking. - Katia Lupinetti, Andrea Ranieri, Franca Giannini, Marina Monti:
3D dynamic hand gestures recognition using the Leap Motion sensor and convolutional neural networks. - Alessandro Nuara, Francesco Trovò, Nicola Gatti, Marcello Restelli:
Online Joint Bid/Daily Budget Optimization of Internet Advertising Campaigns. - Biagio Brattoli, Joseph Tighe, Fedor Zhdanov, Pietro Perona, Krzysztof Chalupka:
Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications. - Julian Chibane, Thiemo Alldieck, Gerard Pons-Moll:
Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion. - Vincent Le Guen, Nicolas Thome:
Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction. - Limor Gultchin, Matt J. Kusner, Varun Kanade, Ricardo Silva:
Differentiable Causal Backdoor Discovery. - Keyhan Kouhkiloui Babarahmati, Carlo Tiseo, Quentin Rouxel, Zhibin Li, Michael N. Mistry:
Robust High-Transparency Haptic Exploration for Dexterous Telemanipulation. - Carlo Tiseo, Wolfgang Merkt, Keyhan Kouhkiloui Babarahmati, Wouter Wolfslag, Sethu Vijayakumar, Michael N. Mistry:
Bio-mimetic Adaptive Force/Position Control Using Fractal Impedance. - Rima Khouja, Houssam Khalil, Bernard Mourrain:
A Riemannian Newton Optimization Framework for the Symmetric Tensor Rank Approximation Problem. - Hadrien Titeux, Rachid Riad, Xuan-Nga Cao, Nicolas Hamilakis, Kris Madden, Alejandrina Cristià, Anne-Catherine Bachoud-Lévi, Emmanuel Dupoux:
Seshat: A tool for managing and verifying annotation campaigns of audio data. - Qiaolin Xia, Haoyang Huang, Nan Duan, Dongdong Zhang, Lei Ji, Zhifang Sui, Edward Cui, Taroon Bharti, Xin Liu, Ming Zhou:
XGPT: Cross-modal Generative Pre-Training for Image Captioning. - Adria Ruiz, Jakob Verbeek:
Distilled Hierarchical Neural Ensembles with Adaptive Inference Cost. - Grzegorz Dudek, Pawel Pelka:
Pattern Similarity-based Machine Learning Methods for Mid-term Load Forecasting: A Comparative Study. - Jingye Li, Meishan Zhang, Donghong Ji, Yijiang Liu:
Multi-Task Learning with Auxiliary Speaker Identification for Conversational Emotion Recognition. - Davoud Mougouei, David M. W. Powers:
Modeling and Selection of Interdependent Software Requirements using Fuzzy Graphs. - Jonathan Sterling, Carlo Angiuli, Daniel Gratzer:
A Cubical Language for Bishop Sets. - Witold Wydmanski, Szymon Szott:
Contention Window Optimization in IEEE 802.11ax Networks with Deep Reinforcement Learning. - Alizée Gagnon, Alexander Hassler, Jerry Huang, Aaron Krim-Yee, Fionn Mc Inerney, Andrés Zacarías, Ben Seamone, Virgélot Virgile:
A method for eternally dominating strong grids. - Gang Peng, Zezao Lu, Bocheng Chen, Shanliang Chen, Dingxin He:
Robust tightly coupled pose estimation based on monocular vision, inertia, and wheel speed. - Jad Rahme, Samy Jelassi, Joan Bruna, S. Matthew Weinberg:
A Permutation-Equivariant Neural Network Architecture For Auction Design. - Zicheng Qiu, Wei Jiang, Turghunjan Mamut:
Improving Uyghur ASR systems with decoders using morpheme-based language models. - Ziqi Liu, Dong Wang, Qianyu Yu, Zhiqiang Zhang, Yue Shen, Jian Ma, Wenliang Zhong, Jinjie Gu, Jun Zhou, Shuang Yang, Yuan Qi:
Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing. - Aneta Neumann, Bradley Alexander, Frank Neumann:
Evolutionary Image Transition and Painting Using Random Walks. - Sunders Bruskin, Polina Zilberman, Rami Puzis, Shay Shwarz:
SoK: A Survey of Open Source Threat Emulators. - Juliana Jansen Ferreira, Mateus de Souza Monteiro:
Evidence-based explanation to promote fairness in AI systems. - Leyuan Wang, John D. Owens:
Fast Gunrock Subgraph Matching (GSM) on GPUs. - Edward Verenich, Alvaro Velasquez, M. G. Sarwar Murshed, Faraz Hussain:
FlexServe: Deployment of PyTorch Models as Flexible REST Endpoints. - Arian Mehrfard, Javad Fotouhi, Tess Forster, Giacomo Taylor, Danyal Fer, Deborah Nagle, Nassir Navab, Bernhard Fuerst:
On the Effectiveness of Virtual Reality-based Training for Robotic Setup. - Hongjie Wang, Yang Zhao, Chaojian Li, Yue Wang, Yingyan Lin:
A New MRAM-based Process In-Memory Accelerator for Efficient Neural Network Training with Floating Point Precision. - Christian Eilers, Jonas Eschmann, Robin Menzenbach, Boris Belousov, Fabio Muratore, Jan Peters:
Underactuated Waypoint Trajectory Optimization for Light Painting Photography. - (Withdrawn) Robot Calligraphy using Pseudospectral Optimal Control in Conjunction with a Novel Dynamic Brush Model.
- Suat Gumussoy, Hitay Özbay:
On Stable H-infinity Controllers for Time Delay Systems. - Lifeng Liu, Fengda Zhang, Jun Xiao, Chao Wu:
Evaluation Framework For Large-scale Federated Learning. - Chaehan So:
Are You an Introvert or Extrovert? Accurate Classification With Only Ten Predictors. - Fang Wan, Haokun Wang, Jiyuan Wu, Yujia Liu, Sheng Ge, Chaoyang Song:
Reconfigurable Design for Omni-adaptive Grasp Learning. - Zeyi Yang, Sheng Ge, Fang Wan, Yujia Liu, Chaoyang Song:
Scalable Tactile Sensing for an Omni-adaptive Soft Robot Finger. - Linhan Yang, Fang Wan, Haokun Wang, Xiaobo Liu, Yujia Liu, Jia Pan, Chaoyang Song:
Rigid-Soft Interactive Learning for Robust Grasping. - Yuhe Jin, Dmytro Mishkin, Anastasiia Mishchuk, Jiri Matas, Pascal Fua, Kwang Moo Yi, Eduard Trulls:
Image Matching across Wide Baselines: From Paper to Practice. - Richard R. Carrillo, Francisco Naveros, Eduardo Ros, Niceto R. Luque:
A Metric for Evaluating Neural Input Representation in Supervised Learning Networks. - Luca Calderoni, Luciano Margara, Moreno Marzolla:
Direct Product Primality Testing of Graphs is GI-hard. - Abhishek Kumar, Benjamin Finley, Tristan Braud, Sasu Tarkoma, Pan Hui:
Marketplace for AI Models. - Yue Gao, Harrison Rosenberg, Kassem Fawaz, Somesh Jha, Justin Hsu:
Analyzing Accuracy Loss in Randomized Smoothing Defenses. - Alex Nichol:
VQ-DRAW: A Sequential Discrete VAE. - Yuan Chen, Songming Hou, Xu Zhang:
A Bilinear Partially Penalized Immersed Finite Element Method for Elliptic Interface Problems with Multi-Domains and Triple-Junction Points. - Zhen Peng, Yixiang Dong, Minnan Luo, Xiao-Ming Wu, Qinghua Zheng:
Self-Supervised Graph Representation Learning via Global Context Prediction. - Austin Reiter, Menglin Jia, Pu Yang, Ser-Nam Lim:
Deep Multi-Modal Sets. - Natalie Best, Jordan Ott, Erik Linstead:
Exploring the Efficacy of Transfer Learning in Mining Image-Based Software Artifacts. - Kei Ota, Tomoaki Oiki, Devesh K. Jha, Toshisada Mariyama, Daniel Nikovski:
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning? - Suat Gumussoy, Hitay Özbay:
Sensitivity Minimization by Stable Controllers: An Interpolation Approach for Suboptimal Solutions. - Tate Kernell, Robert C. Kirby:
Preconditioning mixed finite elements for tide models. - Tianyu Ma, Ajay Gupta, Mert R. Sabuncu:
Volumetric landmark detection with a multi-scale shift equivariant neural network. - Gregory Plumb, Jonathan Terhorst, Sriram Sankararaman, Ameet Talwalkar:
Explaining Groups of Points in Low-Dimensional Representations. - Kei Ota, Yoko Sasaki, Devesh K. Jha, Yusuke Yoshiyasu, Asako Kanezaki:
Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path. - Alessandro D'Alconzo, Idilio Drago, Andrea Morichetta, Marco Mellia, Pedro Casas:
A Survey on Big Data for Network Traffic Monitoring and Analysis. - Tarik Tosun, Daniel Yang, Ben Eisner, Volkan Isler, Daniel D. Lee:
Robotic Grasping through Combined image-Based Grasp Proposal and 3D Reconstruction. - Suat Gumussoy, Hitay Özbay:
Sensitivity minimization by stable controllers for a class of unstable time-delay systems. - Harsh Tataria, Fredrik Tufvesson:
Impact of Spatially Consistent Channels on Digital Beamforming for Millimeter-Wave Systems. - Nenglun Chen, Lingjie Liu, Zhiming Cui, Runnan Chen, Duygu Ceylan, Changhe Tu, Wenping Wang:
Unsupervised Learning of Intrinsic Structural Representation Points. - Nan Xue, Tianfu Wu, Song Bai, Fu-Dong Wang, Gui-Song Xia, Liangpei Zhang, Philip H. S. Torr:
Holistically-Attracted Wireframe Parsing. - Jaewoo Park, Yoon Gyo Jung, Andrew Beng Jin Teoh:
Compact Surjective Encoding Autoencoder for Unsupervised Novelty Detection. - Qiuling Yang, Alireza Sadeghi, Gang Wang, Georgios B. Giannakis, Jian Sun:
Robust PSSE Using Graph Neural Networks for Data-driven and Topology-aware Priors. - Daniel Kang, Deepti Raghavan, Peter Bailis, Matei Zaharia:
Model Assertions for Monitoring and Improving ML Models. - Andrea Morichetta, Pedro Casas, Marco Mellia:
EXPLAIN-IT: Towards Explainable AI for Unsupervised Network Traffic Analysis. - Harsh Tataria, Fredrik Tufvesson, Ove Edfors:
Real-Time Implementation Aspects of Large Intelligent Surfaces. - Quan Zhao, Wei Jiang, Weizhu Bao:
An energy-stable parametric finite element method for simulating solid-state dewetting. - Igor Shalyminov, Alessandro Sordoni, Adam Atkinson, Hannes Schulz:
Hybrid Generative-Retrieval Transformers for Dialogue Domain Adaptation. - Daniel Selsam, Simon Hudon, Leonardo de Moura:
Sealing Pointer-Based Optimizations Behind Pure Functions. - Warren R. Morningstar, Sharad M. Vikram, Cusuh Ham, Andrew G. Gallagher, Joshua V. Dillon:
Automatic Differentiation Variational Inference with Mixtures. - Francesco Croce, Matthias Hein:
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks. - Mohammad Zeynali Azim, Mohammad Ali Jabraeil Jamali, Babak Anari, Saeid Alikhani, Shahin Akbarpour:
Graphs and codes produced by a new method for dividing a natural number by two. - Alfons Geser, Dieter Hofbauer, Johannes Waldmann:
Sparse Tiling through Overlap Closures for Termination of String Rewriting. - Bapi Chatterjee, Sathya Peri, Muktikanta Sa:
Dynamic Graph Operations: A Consistent Non-blocking Approach. - Suat Gumussoy, Hitay Özbay:
Remarks on H-infinity Controller Design for SISO Plants with Time Delays. - Allen Liu, Renato Paes Leme, Jon Schneider:
Contextual Search for General Hypothesis Classes. - Aldo Pacchiano, My Phan, Yasin Abbasi-Yadkori, Anup Rao, Julian Zimmert, Tor Lattimore, Csaba Szepesvári:
Model Selection in Contextual Stochastic Bandit Problems. - Donald J. Hejna III, Pieter Abbeel, Lerrel Pinto:
Hierarchically Decoupled Imitation for Morphological Transfer. - Adrian Bulat, Brais Martínez, Georgios Tzimiropoulos:
BATS: Binary ArchitecTure Search. - Lotte Bransen, Jan Van Haaren:
Player Chemistry: Striving for a Perfectly Balanced Soccer Team. - Charis Mesaritakis, Marialena Akriotou, Dimitris Syvridis:
Laser Induced Speckle as a Foundation for Physical Security and Optical Computing. - Jens Bayer, David Münch, Michael Arens:
Image-based OoD-Detector Principles on Graph-based Input Data in Human Action Recognition. - Maude J. Blondin, Matthew T. Hale:
An Algorithm for Multi-Objective Multi-Agent Optimization. - Bozhou Chen, Kaixin Zhang, Longshen Ou, Chenmin Ba, Hongzhi Wang, Chunnan Wang:
Automatic Hyper-Parameter Optimization Based on Mapping Discovery from Data to Hyper-Parameters. - AbdulAziz Al-Helali, Ben Liang, Nidal Nasser:
Novel Molecular Signaling Method and System for Molecular Communication in Human Body. - Zepeng Huo, Arash Pakbin, Xiaohan Chen, Nathan C. Hurley, Ye Yuan, Xiaoning Qian, Zhangyang Wang, Shuai Huang, Bobak Mortazavi:
Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery. - Jie Liu, Jiawen Liu, Zhen Xie, Dong Li:
FLAME: A Self-Adaptive Auto-labeling System for Heterogeneous Mobile Processors. - Noam Elron, Shahar S. Yuval, Dmitry Rudoy, Noam Levy:
Blind Image Restoration without Prior Knowledge. - Rafatul Faria, Jan Kaiser, Kerem Yunus Çamsari, Supriyo Datta:
Hardware Design for Autonomous Bayesian Networks. - Xinzheng Zhang, Hang Su, Ce Zhang, Peter M. Atkinson, Xiaoheng Tan, Xiaoping Zeng, Xin Jian:
A Robust Imbalanced SAR Image Change Detection Approach Based on Deep Difference Image and PCANet. - Miguel A. F. Sanjuán:
Artificial Intelligence, Chaos, Prediction and Understanding in Science. - Robert Mieth, Matthew Roveto, Yury Dvorkin:
Risk Trading in a Chance-Constrained Stochastic Electricity Market. - Tianyu Wang, Julian Whitman, Matthew J. Travers, Howie Choset:
Directional Compliance in Obstacle-Aided Navigation for Snake Robots. - Zhao Han, Jordan Allspaw, Gregory LeMasurier, Jenna Parrillo, Daniel Giger, Seyed Reza Ahmadzadeh, Holly A. Yanco:
Towards Mobile Multi-Task Manipulation in a Confined and Integrated Environment with Irregular Objects. - Takami Sato, Junjie Shen, Ningfei Wang, Yunhan Jack Jia, Xue Lin, Qi Alfred Chen:
Security of Deep Learning based Lane Keeping System under Physical-World Adversarial Attack. - Matt Roveto, Robert Mieth, Yury Dvorkin:
Co-Control of VaR and CVaR forData-Driven Stochastic Demand Response Auction. - Cory Stephenson, Jenelle Feather, Suchismita Padhy, Oguz H. Elibol, Hanlin Tang, Josh H. McDermott, SueYeon Chung:
Untangling in Invariant Speech Recognition. - James Ren Hou Lee, Alexander Wong:
TimeConvNets: A Deep Time Windowed Convolution Neural Network Design for Real-time Video Facial Expression Recognition. - Eleonora Guerrini, Romain Lebreton, Ilaria Zappatore:
Enhancing simultaneous rational function recovery: adaptive error correction capability and new bounds for applications. - Mao Ye, Chengyue Gong, Lizhen Nie, Denny Zhou, Adam R. Klivans, Qiang Liu:
Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection. - Alejandro Parada-Mayorga, Luana Ruiz, Alejandro Ribeiro:
Graphon Pooling in Graph Neural Networks. - Binxuan Huang, Kathleen M. Carley:
Discover Your Social Identity from What You Tweet: a Content Based Approach. - Philip Sperl, Jan-Philipp Schulze, Konstantin Böttinger:
A3: Activation Anomaly Analysis. - Mouhyemen Khan, Akash Patel, Abhijit Chatterjee:
Multi-Sparse Gaussian Process: Learning based Semi-Parametric Control. - Tianyuan Jin, Pan Xu, Jieming Shi, Xiaokui Xiao, Quanquan Gu:
MOTS: Minimax Optimal Thompson Sampling. - Bing Han, Gopalakrishnan Srinivasan, Kaushik Roy:
RMP-SNNs: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Networks. - Yizhou Wang, Zhongyu Jiang, Xiangyu Gao, Jenq-Neng Hwang, Guanbin Xing, Hui Liu:
RODNet: Object Detection under Severe Conditions Using Vision-Radio Cross-Modal Supervision. - Therese Biedl, Anna Lubiw, Owen D. Merkel:
Building a larger class of graphs for efficient reconfiguration of vertex colouring. - Pedro Alonso, Kumar Shridhar, Denis Kleyko, Evgeny Osipov, Marcus Liwicki:
HyperEmbed: Tradeoffs Between Resources and Performance in NLP Tasks with Hyperdimensional Computing enabled Embedding of n-gram Statistics. - Qianggong Zhang, Yanyang Gu, Mateusz Michalkiewicz, Mahsa Baktashmotlagh, Anders P. Eriksson:
Implicitly Defined Layers in Neural Networks. - Davoud Mougouei, David M. W. Powers:
Dependency-Aware Release Planning for Software Projects using Fuzzy Graphs and Integer Programming. - Cédric Colas, Joost Huizinga, Vashisht Madhavan, Jeff Clune:
Scaling MAP-Elites to Deep Neuroevolution. - Ricard Durall, Margret Keuper, Janis Keuper:
Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral Distributions. - Priya Sundaresan, Jennifer Grannen, Brijen Thananjeyan, Ashwin Balakrishna, Michael Laskey, Kevin Stone, Joseph E. Gonzalez, Ken Goldberg:
Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data. - Nathan Vaughn, Leighton Wilson, Robert Krasny:
A GPU-Accelerated Barycentric Lagrange Treecode. - Nishant Budhdev, Mun Choon Chan, Tulika Mitra:
IsoRAN: Isolation and Scaling for 5G RANvia User-Level Data Plane Virtualization. - Weonyoung Joo, Dongjun Kim, Seungjae Shin, Il-Chul Moon:
Generalized Gumbel-Softmax Gradient Estimator for Various Discrete Random Variables. - Paul Pu Liang, Jeffrey Chen, Ruslan Salakhutdinov, Louis-Philippe Morency, Satwik Kottur:
On Emergent Communication in Competitive Multi-Agent Teams. - Parker C. Lusk, Xiaoyi Cai, Samir Wadhwania, Aleix Paris, Kaveh Fathian, Jonathan P. How:
A Distributed Pipeline for Scalable, Deconflicted Formation Flying. - Taisuke Kobayashi:
q-VAE for Disentangled Representation Learning and Latent Dynamical Systems. - Geon Lee, Jihoon Ko, Kijung Shin:
Hypergraph Motifs: Concepts, Algorithms, and Discoveries. - Changzeng Fu, Chaoran Liu, Carlos Toshinori Ishi, Yuichiro Yoshikawa, Hiroshi Ishiguro:
SeMemNN: A Semantic Matrix-Based Memory Neural Network for Text Classification. - Eduardo Pavez, Benjamin Girault, Antonio Ortega, Philip A. Chou:
Region adaptive graph fourier transform for 3d point clouds. - Shinji Hara, Tetsuya Iwasaki, Yutaka Hori:
Robust Instability Analysis with Application to Neuronal Dynamics. - Julie Stephany Berrio, Mao Shan, Stewart Worrall, James R. Ward, Eduardo M. Nebot:
Semantic sensor fusion: from camera to sparse lidar information. - Chengjin Sun, Sizhe Chen, Jia Cai, Xiaolin Huang:
Type I Attack for Generative Models. - Fanyi Xiao, Ling Pei, Lei Chu, Danping Zou, Wenxian Yu, Yifan Zhu, Tao Li:
A Deep Learning Method for Complex Human Activity Recognition Using Virtual Wearable Sensors. - Li Sun, Daniel Adolfsson, Martin Magnusson, Henrik Andreasson, Ingmar Posner, Tom Duckett:
Localising Faster: Efficient and precise lidar-based robot localisation in large-scale environments. - Yangsibo Huang, Yushan Su, Sachin Ravi, Zhao Song, Sanjeev Arora, Kai Li:
Privacy-preserving Learning via Deep Net Pruning. - Dhanoop Karunakaran, Stewart Worrall, Eduardo M. Nebot:
Efficient statistical validation with edge cases to evaluate Highly Automated Vehicles. - Eldan Cohen, Avradip Mandal, Hayato Ushijima-Mwesigwa, Arnab Roy:
Ising-based Consensus Clustering on Specialized Hardware. - Saeed Ghorbani, Kimia Mahdaviani, Anne Thaler, Konrad P. Körding, Douglas James Cook, Gunnar Blohm, Nikolaus F. Troje:
MoVi: A Large Multipurpose Motion and Video Dataset. - Pingping Zhu, Chang Liu, Silvia Ferrari:
Adaptive Online Distributed Optimal Control of Very-Large-Scale Robotic Systems. - Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Jingbang Chen, Yan Feng, Chun Chen:
Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback. - Amir Hossein Raffiee, Michael Sollami:
GarmentGAN: Photo-realistic Adversarial Fashion Transfer. - Chengjin Sun, Sizhe Chen, Xiaolin Huang:
Double Backpropagation for Training Autoencoders against Adversarial Attack. - Preetum Nakkiran, Prayaag Venkat, Sham M. Kakade, Tengyu Ma:
Optimal Regularization Can Mitigate Double Descent. - Zhengyang Guo, Yi Li:
Minimum Enclosing Parallelogram with Outliers. - James Aspnes:
Notes on Randomized Algorithms. - Sulgi Kim, Kyungmin Kim:
Odds-Ratio Thompson Sampling to Control for Time-Varying Effect. - Hadi Salman, Mingjie Sun, Greg Yang, Ashish Kapoor, J. Zico Kolter:
Black-box Smoothing: A Provable Defense for Pretrained Classifiers. - Ethan Fetaya, Yonatan Lifshitz, Elad Aaron, Shai Gordin:
Restoration of Fragmentary Babylonian Texts Using Recurrent Neural Networks. - Xingyu Chen, Yue Lu, Zhengxing Wu, Junzhi Yu, Li Wen:
Reveal of Domain Effect: How Visual Restoration Contributes to Object Detection in Aquatic Scenes. - Debasish Pattanayak, Klaus-Tycho Foerster, Partha Sarathi Mandal, Stefan Schmid:
Distributed Pattern Formation With Faulty Robots. - Nathan F. Lepora, John Lloyd:
Optimal Deep Learning for Robot Touch. - Qiaoyu Tan, Ninghao Liu, Xing Zhao, Hongxia Yang, Jingren Zhou, Xia Hu:
Learning to Hash with Graph Neural Networks for Recommender Systems. - Jinhyeok Jang, Dohyung Kim, Cheonshu Park, Minsu Jang, Jaeyeon Lee, Jaehong Kim:
ETRI-Activity3D: A Large-Scale RGB-D Dataset for Robots to Recognize Daily Activities of the Elderly. - Chen-Yu Wei, Haipeng Luo, Alekh Agarwal:
Taking a hint: How to leverage loss predictors in contextual bandits? - Yonghyun Jeong, Hyunjin Choi, Byoungjip Kim, Youngjune Gwon:
DefogGAN: Predicting Hidden Information in the StarCraft Fog of War with Generative Adversarial Nets. - Mohammad Javad Salehi, Antti Tölli, Seyed Pooya Shariatpanahi:
Coded Caching with Uneven Channels: A Quality of Experience Approach. - Ruo Li, Fanyi Yang:
Reconstructed Discontinuous Approximation to Stokes Equation in A Sequential Least Squares Formulation. - Md. Sadrul Islam Toaha, Chowdhury Rafeed Rahman, Sakib Bin Asad, Tashin Ahmed, Mahfuz Ara Proma, S. M. Shahriar Haque:
Automatic Signboard Detection from Natural Scene Image in Context of Bangladesh Google Street View. - Alexander Prolubnikov:
The discrete optimization problems with interval objective function on graphs and hypergraphs and the interval greedy algorithm. - Chenlin Meng, Yang Song, Jiaming Song, Stefano Ermon:
Gaussianization Flows. - Steffen Holter, Athanasios Tsoukalas, Nikolaos Evangeliou, Nikolaos Giakoumidis, Anthony Tzes:
Relative Visual Localization for Unmanned Aerial Systems. - Federico Simonetta, Stavros Ntalampiras, Federico Avanzini:
ASMD: an automatic framework for compiling multimodal datasets. - Jianfeng Li, Junqiao Zhao, Tiantian Feng, Chen Ye, Lu Xiong:
Occlusion Aware Unsupervised Learning of Optical Flow From Video. - Victor Berger, Michèle Sebag:
Variational Auto-Encoder: not all failures are equal. - Chrysanthi Kosyfaki, Nikos Mamoulis, Evaggelia Pitoura, Panayiotis Tsaparas:
Flow Computation in Temporal Interaction Networks. - Nalin Jayaweera, Dileepa Marasinghe, Nandana Rajatheva, Matti Latva-aho:
Factory Automation: Resource Allocation of an Elevated LiDAR System with URLLC Requirements. - Michael Carr, Siamak F. Shahandashti:
Revisiting Security Vulnerabilities in Commercial Password Managers. - Fabian Wolf, Gernot A. Fink:
Annotation-free Learning of Deep Representations for Word Spotting using Synthetic Data and Self Labeling. - Maurantonio Caprolu, Roberto Di Pietro, Simone Raponi, Savio Sciancalepore, Pietro Tedeschi:
Vessels Cybersecurity: Issues, Challenges, and the Road Ahead. - Igor Buzhinsky, Arseny Nerinovsky, Stavros Tripakis:
Metrics and methods for robustness evaluation of neural networks with generative models. - Murat Kirtay, Ugo Albanese, Lorenzo Vannucci, Guido Schillaci, Cecilia Laschi, Egidio Falotico:
The iCub multisensor datasets for robot and computer vision applications. - Alexander Rieder, Francisco-Javier Sayas, Jens Markus Melenk:
Runge-Kutta approximation for C0-semigroups in the graph norm with applications to time domain boundary integral equations. - Victor Garcia Satorras, Max Welling:
Neural Enhanced Belief Propagation on Factor Graphs. - Ghislain Fourier, Gabriele Nebe:
Degenerate flag varieties in network coding. - Juichung Kuo, Manasi Muglikar, Zichao Zhang, Davide Scaramuzza:
Redesigning SLAM for Arbitrary Multi-Camera Systems. - Stav Ben-Nun, Shay Golan, Tomasz Kociumaka, Matan Kraus:
Time-Space Tradeoffs for Finding a Long Common Substring. - Onel L. Alcaraz López, Nurul Huda Mahmood, Hirley Alves:
Enabling URLLC for Low-Cost IoT Devices via Diversity Combining Schemes. - Shaoxiong Feng, Hongshen Chen, Kan Li, Dawei Yin:
Posterior-GAN: Towards Informative and Coherent Response Generation with Posterior Generative Adversarial Network. - Mikolaj Jankowski, Deniz Gündüz, Krystian Mikolajczyk:
Deep Joint Transmission-Recognition for Power-Constrained IoT Devices. - Joost van Amersfoort, Lewis Smith, Yee Whye Teh, Yarin Gal:
Simple and Scalable Epistemic Uncertainty Estimation Using a Single Deep Deterministic Neural Network. - (Withdrawn) On Hyper-parameter Tuning for Stochastic Optimization Algorithms.
- Aymen Mir, Thiemo Alldieck, Gerard Pons-Moll:
Learning to Transfer Texture from Clothing Images to 3D Humans. - Alaa Daoud:
Semantic Web Environments for Multi-Agent Systems: Enabling agents to use Web of Things via semantic web. - Wansong Liu, Danyang Luo, Changxu Wu, Minghui Zheng:
Vehicle-Human Interactive Behaviors in Emergency: Data Extraction from Traffic Accident Videos. - Shahine Bouabid, Vincent Delaitre:
Mixup Regularization for Region Proposal based Object Detectors. - Chong Liu, Xiaojun Chang, Yi-Dong Shen:
Unity Style Transfer for Person Re-Identification. - Frank H. P. Fitzek, Patrick Seeling:
Why We Should NOT Talk about 6G. - Xia Wu, Haiyuan Liu, Ziqi Liu, Mingdong Chen, Fang Wan, Chenglong Fu, H. Harry Asada, Zheng Wang, Chaoyang Song:
Robotic Cane as a Soft SuperLimb for Elderly Sit-to-Stand Assistance. - (Withdrawn) An effective version of definability in metric model theory.
- Peter Benner, Martin Köhler, Jens Saak:
Matrix Equations, Sparse Solvers: M-M.E.S.S.-2.0.1 - Philosophy, Features and Application for (Parametric) Model. - Cong Yue, Zhongle Xie, Meihui Zhang, Gang Chen, Beng Chin Ooi, Sheng Wang, Xiaokui Xiao:
Analysis of Indexing Structures for Immutable Data. - Xiao Ma, Taylor W. Brown:
AI-Mediated Exchange Theory. - Yara Rizk, Vatche Isahagian, Merve Unuvar, Yasaman Khazaeni:
A Snooze-less User-Aware Notification System for Proactive Conversational Agents. - Yusheng Xiang, Tianqing Su, Xiaole Liu, Marcus Geimer:
Realtime Estimation of IEEE 802.11p for Mobile working Machines Communication respecting Delay and Packet Loss. - Danel Ahman, Matija Pretnar:
Asynchronous effects. - Jiale Chen, Xu Tan, Chaowei Shan, Sen Liu, Zhibo Chen:
VESR-Net: The Winning Solution to Youku Video Enhancement and Super-Resolution Challenge. - Tianwei Hou, Yuanwei Liu, Zhengyu Song, Xin Sun, Yue Chen:
MIMO-NOMA Networks Relying on Reconfigurable Intelligent Surface: A Signal Cancellation Based Design. - Srilakshmi Pattabiraman, Ryan Gabrys, Olgica Milenkovic:
Coding for Polymer-Based Data Storage. - Aleksei Ustimenko, Liudmila Prokhorenkova:
StochasticRank: Global Optimization of Scale-Free Discrete Functions. - Qian Chen, Wen Wang:
Sequential Neural Networks for Noetic End-to-End Response Selection. - Lingjuan Lyu, Han Yu, Qiang Yang:
Threats to Federated Learning: A Survey. - Lili Wang, Ji Liu, A. Stephen Morse:
A Distributed Observer for a Continuous-Time Linear System with time-varying network. - Wesley J. Maddox, Gregory W. Benton, Andrew Gordon Wilson:
Rethinking Parameter Counting in Deep Models: Effective Dimensionality Revisited. - Mirko Leomanni, Andrea Garulli, Antonio Giannitrapani, Renato Quartullo:
Satellite Relative Motion Modeling and Estimation via Nodal Elements. - Antonios Antoniadis, Christian Coester, Marek Eliás, Adam Polak, Bertrand Simon:
Online metric algorithms with untrusted predictions. - Anh-Tu Nguyen, Chouki Sentouh, Jean-Christophe Popieul, Boussaad Soualmi:
Shared lateral control with on-line adaptation of the automation degree for driver steering assist system: A weighting design approach. - Dimitris Fotakis, Loukas Kavouras, Grigorios Koumoutsos, Stratis Skoulakis, Manolis Vardas:
The Online Min-Sum Set Cover Problem. - Tidiane Sylla, Mohamed Aymen Chalouf, Francine Krief, Karim Samaké:
Towards a Context-Aware Security and Privacy as a Service in the Internet of Things. - Pedro Mirabal, José Ignacio Abreu, Oscar Pedreira:
Pivot Selection for Median String Problem. - Sanghoon Hong, Hunchul Park, Jonghyuk Park, Sukhyun Cho, Heewoong Park:
HintPose. - Daniil Polykovskiy, Dmitry P. Vetrov:
Deterministic Decoding for Discrete Data in Variational Autoencoders. - Diane Uwacu, Regina Rex, Bonnie Wang, Shawna L. Thomas, Nancy M. Amato:
Annotated-skeleton Biased Motion Planning for Faster Relevant Region Discovery. - Roberto Furfaro, Andrea Scorsoglio, Richard Linares, Mauro Massari:
Adaptive Generalized ZEM-ZEV Feedback Guidance for Planetary Landing via a Deep Reinforcement Learning Approach. - Dusan Knop, Martin Koutecký:
Scheduling Kernels via Configuration LP. - Evgenii Zheltonozhskii, Chaim Baskin, Yaniv Nemcovsky, Brian Chmiel, Avi Mendelson, Alex M. Bronstein:
Colored Noise Injection for Training Adversarially Robust Neural Networks. - Yonathan Efroni, Shie Mannor, Matteo Pirotta:
Exploration-Exploitation in Constrained MDPs. - Micha Sharir, Oleg Zlydenko:
Incidences between points and curves with almost two degrees of freedom. - Rudi Horn, Simon Fowler, James Cheney:
Language-Integrated Updatable Views (Extended version). - Xinchen Wei, Haitham Moffaqq Al-Obiedollah, Kanapathippillai Cumanan, Miao Zhang, Jie Tang, Wei Wang, Octavia A. Dobre:
Resource Allocation Technique for Hybrid TDMA-NOMA System with Opportunistic Time Assignment. - Hongzheng Li, Heyan Huang:
Evaluating Low-Resource Machine Translation between Chinese and Vietnamese with Back-Translation. - A. J. Sanchez-Fernandez, Luis F. Romero, Gerardo Bandera, Siham Tabik:
Array relocation approach for radial scanning algorithms on multi-GPU systems: total viewshed problem as a case study. - Feras Almasri, Olivier Debeir:
Robust Perceptual Night Vision in Thermal Colorization. - Samuel Thiriot:
Generate Descriptive Social Networks for Large Populations from Available Observations: A Novel Methodology and a Generator. - S. Hamid Mousavi, Jakob Drefs, Florian Hirschberger, Jörg Lücke:
Maximal Causes for Exponential Family Observables. - Igor S. Chekhovskoy, Sergey B. Medvedev, Irina Vaseva, Egor Sedov, Mikhail P. Fedoruk:
Introducing phase jump tracking - a fast method for eigenvalue evaluation of the direct Zakharov-Shabat problem. - Hsiu-Chin Lin, Michael N. Mistry:
Contact Surface Estimation via Haptic Perception. - Julian Busch, Jiaxing Pi, Thomas Seidl:
PushNet: Efficient and Adaptive Neural Message Passing. - Chenguang Wang, Simon H. Tindemans, Kaikai Pan, Peter Palensky:
Detection of False Data Injection Attacks Using the Autoencoder Approach. - Ankit Shah, Julie Shah:
Interactive Robot Training for Non-Markov Tasks. - Christopher Tosh, Akshay Krishnamurthy, Daniel Hsu:
Contrastive estimation reveals topic posterior information to linear models. - Wei Sun:
Towards High Throughput Wireless Network with Directional Antenna. - Vaishaal Shankar, Alex Fang, Wenshuo Guo, Sara Fridovich-Keil, Ludwig Schmidt, Jonathan Ragan-Kelley, Benjamin Recht:
Neural Kernels Without Tangents. - Hsin-Ping Huang, Junyi Jessy Li:
Unsupervised Adversarial Domain Adaptation for Implicit Discourse Relation Classification. - Varun Kumar, Ashutosh Choudhary, Eunah Cho:
Data Augmentation using Pre-trained Transformer Models. - Manasi Muglikar, Zichao Zhang, Davide Scaramuzza:
Voxel Map for Visual SLAM. - Yada Pruksachatkun, Philip Yeres, Haokun Liu, Jason Phang, Phu Mon Htut, Alex Wang, Ian Tenney, Samuel R. Bowman:
jiant: A Software Toolkit for Research on General-Purpose Text Understanding Models. - Katherine Hoffmann Pham, Miguel A. Luengo-Oroz:
From plague to coronavirus: On the value of ship traffic data for epidemic modeling. - Joseph Kump, Eileen R. Martin:
Multichannel Analysis of Surface Waves Accelerated (MASWAccelerated): Software for Efficient Surface Wave Inversion Using MPI and GPUs. - Javad Fotouhi, Arian Mehrfard, Tianyu Song, Alex Johnson, Greg Osgood, Mathias Unberath, Mehran Armand, Nassir Navab:
Spatiotemporal-Aware Augmented Reality: Redefining HCI in Image-Guided Therapy. - Borys Tymchenko, Philip Marchenko, Dmitry Spodarets:
Deep Learning Approach to Diabetic Retinopathy Detection. - Thodoris Lykouris, Vahab S. Mirrokni, Renato Paes Leme:
Bandits with adversarial scaling. - Bryan Ford, Philipp Jovanovic, Ewa Syta:
Que Sera Consensus: Simple Asynchronous Agreement with Private Coins and Threshold Logical Clocks. - Suat Gumussoy:
On the Zeros of Quasi-Polynomials with Single Delay. - Javad Fotouhi, Giacomo Taylor, Mathias Unberath, Alex Johnson, Sing Chun Lee, Greg Osgood, Mehran Armand, Nassir Navab:
Exploring Partial Intrinsic and Extrinsic Symmetry in 3D Medical Imaging. - Suat Gumussoy, Michael L. Overton:
Fixed-Order H-infinity Controller Design via HIFOO, a Specialized Nonsmooth Optimization Package. - Nico Krais, Gero Schnücke, Thomas Bolemann, Gregor Gassner:
Split form ALE discontinuous Galerkin methods with applications to under-resolved turbulent low-Mach number flows. - Dennis Luxen:
An Inverse Olympic Medal Tally Transformation for Optimal Lane-level Road Network Path Traversal. - Andrea Tagliabue, Aleix Paris, Suhan Kim, Regan Kubicek, Sarah Bergbreiter, Jonathan P. How:
Touch the Wind: Simultaneous Airflow, Drag and Interaction Sensing on a Multirotor. - Marcos Eduardo Valle:
Reduced Dilation-Erosion Perceptron for Binary Classification. - Sorin Adam Matei:
What is affordance theory and how can it be used in communication research? - Xiangrui Li, Xin Li, Deng Pan, Dongxiao Zhu:
On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks. - Matteo Croci, Vegard Vinje, Marie E. Rognes:
Fast uncertainty quantification of tracer distribution in the brain interstitial fluid with multilevel and quasi Monte Carlo. - Goda Klumbyte, Claude Draude, Loren Britton:
Re-Imagining HCI: New Materialist Philosophy and Figurations as Tool for Design. - Masood S. Mortazavi, Ning Yan:
The Impact of Hole Geometry on Relative Robustness of In-Painting Networks: An Empirical Study. - Zhiyan Ding, Qin Li, Jianfeng Lu:
Ensemble Kalman Inversion for nonlinear problems: weights, consistency, and variance bounds. - Edgar Fajardo Hernandez, Matevz Tadel, Justas Balcas, Alja Mrak Tadel, Frank Würthwein, Diego Davila, Jonathan Guiang, Igor Sfiligoi:
Moving the California distributed CMS xcache from bare metal into containers using Kubernetes. - Aidan Hogan, Eva Blomqvist, Michael Cochez, Claudia d'Amato, Gerard de Melo, Claudio Gutierrez, José Emilio Labra Gayo, Sabrina Kirrane, Sebastian Neumaier, Axel Polleres, Roberto Navigli, Axel-Cyrille Ngonga Ngomo, Sabbir M. Rashid, Anisa Rula, Lukas Schmelzeisen, Juan F. Sequeda, Steffen Staab, Antoine Zimmermann:
Knowledge Graphs. - Zitong Zhou, Daniel M. Tartakovsky:
Markov Chain Monte Carlo with Neural Network Surrogates: Application to Contaminant Source Identification. - Chunxiao Li, Noah Fleming, Marc Vinyals, Toniann Pitassi, Vijay Ganesh:
Towards a Complexity-theoretic Understanding of Restarts in SAT solvers. - Alyson Fox, James Diffenderfer, Jeffrey Hittinger, Geoffrey Sanders, Peter Lindstrom:
Stability Analysis of Inline ZFP Compression for Floating-Point Data in Iterative Methods. - Yimeng Li, Jana Kosecka:
Learning View and Target Invariant Visual Servoing for Navigation. - Luís M. S. Russo, Ana Sofia D. Correia, Gonzalo Navarro, Alexandre P. Francisco:
Approximating Optimal Bidirectional Macro Schemes. - David M. Bossens, Danesh Tarapore:
QED: using Quality-Environment-Diversity to evolve resilient robot swarms. - Mihalis Panteris, Simon Manschitz, Sylvain Calinon:
Learning, Generating and Adapting Wave Gestures for Expressive Human-Robot Interaction. - Daniele Bonadiman, Alessandro Moschitti:
A Study on Efficiency, Accuracy and Document Structure for Answer Sentence Selection. - Jiayi Xu, Hanqi Guo, Han-Wei Shen, Mukund Raj, Xueqiao Xu, Xueyun Wang, Zhehui Wang, Tom Peterka:
Distributed Asynchronous Union-Find for Scalable Feature Tracking. - Filip Gralinski, Tomasz Stanislawek, Anna Wróblewska, Dawid Lipinski, Agnieszka Kaliska, Paulina Rosalska, Bartosz Topolski, Przemyslaw Biecek:
Kleister: A novel task for Information Extraction involving Long Documents with Complex Layout. - Christopher H. Bennett, T. Patrick Xiao, Can Cui, Naimul Hassan, Otitoaleke G. Akinola, Jean Anne C. Incorvia, Alvaro Velasquez, Joseph S. Friedman, Matthew J. Marinella:
Plasticity-Enhanced Domain-Wall MTJ Neural Networks for Energy-Efficient Online Learning. - David Berthelot, Peyman Milanfar, Ian J. Goodfellow:
Creating High Resolution Images with a Latent Adversarial Generator. - Tongxin Wang, Zhengming Ding, Wei Shao, Haixu Tang, Kun Huang:
Towards Fair Cross-Domain Adaptation via Generative Learning. - Shay Vargaftik, Isaac Keslassy, Ariel Orda:
LSQ: Load Balancing in Large-Scale Heterogeneous Systems with Multiple Dispatchers. - Byung Hoon Ahn, Jinwon Lee, Jamie Menjay Lin, Hsin-Pai Cheng, Jilei Hou, Hadi Esmaeilzadeh:
Ordering Chaos: Memory-Aware Scheduling of Irregularly Wired Neural Networks for Edge Devices. - Jens Behley, Andres Milioto, Cyrill Stachniss:
A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI. - Jieliang Luo, Hui Li:
Dynamic Experience Replay. - Kyle D. Julian, Ritchie Lee, Mykel J. Kochenderfer:
Validation of Image-Based Neural Network Controllers through Adaptive Stress Testing. - Feng Jin, Arindam Sengupta, Siyang Cao:
mmFall: Fall Detection using 4D MmWave Radar and Variational Recurrent Autoencoder. - Zhen Chen, Kailiang Wu, Dongbin Xiu:
Methods to Recover Unknown Processes in Partial Differential Equations Using Data. - Claude Gravel, Daniel Panario:
Finding linearly generated subsequences. - Alex Renda, Jonathan Frankle, Michael Carbin:
Comparing Rewinding and Fine-tuning in Neural Network Pruning. - Huanchen Zhang, Xiaoxuan Liu, David G. Andersen, Michael Kaminsky, Kimberly Keeton, Andrew Pavlo:
Order-Preserving Key Compression for In-Memory Search Trees. - Wei Wang, Bing Wang, Peijun Zhao, Changhao Chen, Ronald Clark, Bo Yang, Andrew Markham, Niki Trigoni:
PointLoc: Deep Pose Regressor for LiDAR Point Cloud Localization. - Jeffrey Ichnowski, Michael Danielczuk, Jingyi Xu, Vishal Satish, Ken Goldberg:
GOMP: Grasp-Optimized Motion Planning for Bin Picking. - Keqi Shu, Huilong Yu, Xingxin Chen, Long Chen, Qi Wang, Li Li, Dongpu Cao:
Autonomous Driving at Intersections: A Critical-Turning-Point Approach for Left Turns. - Dongqi Wu, Dileep M. Kalathil, Le Xie:
Deep Reinforcement Learning-Based Robust Protection in Electric Distribution Grids. - Chengxi Li, Stanley H. Chan, Yi-Ting Chen:
Who Make Drivers Stop? Towards Driver-centric Risk Assessment: Risk Object Identification via Causal Inference. - Gurpreet Singh, Soumyajit Gupta, Matt Lease, Clint N. Dawson:
TIME: A Transparent, Interpretable, Model-Adaptive and Explainable Neural Network for Dynamic Physical Processes. - Felix Von Drigalski, Chisato Nakashima, Yoshiya Shibata, Yoshinori Konishi, Joshua C. Triyonoputro, Kaidi Nie, Damien Petit, Toshio Ueshiba, Ryuichi Takase, Yukiyasu Domae, Taku Yoshioka, Yoshihisa Ijiri, Ixchel Georgina Ramirez-Alpizar, Weiwei Wan, Kensuke Harada:
Team O2AS at the World Robot Summit 2018: An Approach to Robotic Kitting and Assembly Tasks using General Purpose Grippers and Tools. - Oscar Gomez, Steffen Holter, Jun Yuan, Enrico Bertini:
ViCE: Visual Counterfactual Explanations for Machine Learning Models. - Florian Kummer, Martin Smuda, Jens Weber:
BoSSS: a package for multigrid extended discontinuous Galerkin methods. - Sungjin Im, Mahshid Montazer Qaem, Benjamin Moseley, Xiaorui Sun, Rudy Zhou:
Fast Noise Removal for k-Means Clustering. - Noam Shazeer, Zhenzhong Lan, Youlong Cheng, Nan Ding, Le Hou:
Talking-Heads Attention. - Pengfei Zhu, Yiming Sun, Longyin Wen, Yu Feng, Qinghua Hu:
Drone Based RGBT Vehicle Detection and Counting: A Challenge. - Jae Kyu Suhr, Ho Gi Jung:
End-to-End Trainable One-Stage Parking Slot Detection Integrating Global and Local Information. - Meifan Zhang, Hongzhi Wang:
LAQP: Learning-based Approximate Query Processing. - Chinthaka Gamanayake, Lahiru Jayasinghe, Benny Kai Kiat Ng, Chau Yuen:
Cluster Pruning: An Efficient Filter Pruning Method for Edge AI Vision Applications. - Chaochao Chen, Kevin Chen-Chuan Chang, Qibing Li, Xiaolin Zheng:
Semi-supervised Learning Meets Factorization: Learning to Recommend with Chain Graph Model. - Dalong Zhang, Xin Huang, Ziqi Liu, Zhiyang Hu, Xianzheng Song, Zhibang Ge, Zhiqiang Zhang, Lin Wang, Jun Zhou, Shuang Yang, Yuan Qi:
AGL: a Scalable System for Industrial-purpose Graph Machine Learning. - Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro:
PAC-Bayesian Meta-learning with Implicit Prior. - Yao-Yuan Yang, Cyrus Rashtchian, Hongyang Zhang, Ruslan Salakhutdinov, Kamalika Chaudhuri:
Adversarial Robustness Through Local Lipschitzness. - Chihiro Noguchi, Tatsuro Kawamoto:
Fragility of spectral clustering for networks with an overlapping structure. - Yong Bai, Yuanfang Guo, Jinjie Wei, Lin Lu, Rui Wang, Yunhong Wang:
Fake Generated Painting Detection via Frequency Analysis. - Fabio Muratore, Christian Eilers, Michael Gienger, Jan Peters:
Bayesian Domain Randomization for Sim-to-Real Transfer. - Min Gao, Junwei Zhang, Junliang Yu, Jundong Li, Junhao Wen, Qingyu Xiong:
Recommender Systems Based on Generative Adversarial Networks: A Problem-Driven Perspective. - Stefan Kratsch, Tomás Masarík, Irene Muzi, Marcin Pilipczuk, Manuel Sorge:
Optimal Discretization is Fixed-parameter Tractable. - Alexander Göke, Dániel Marx, Matthias Mnich:
Parameterized Algorithms for Generalizations of Directed Feedback Vertex Set. - Saehyung Lee, Hyungyu Lee, Sungroh Yoon:
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization. - Pawel Drozdowski, Christian Rathgeb, Antitza Dantcheva, Naser Damer, Christoph Busch:
Demographic Bias in Biometrics: A Survey on an Emerging Challenge. - Milan Ceska, Jirí Matyás, Vojtech Mrazek, Lukás Sekanina, Zdenek Vasícek, Tomás Vojnar:
Adaptive Verifiability-Driven Strategy for Evolutionary Approximation of Arithmetic Circuits. - Mustafa Emara, Miltiades C. Filippou, Dario Sabella:
MEC-enhanced Information Freshness for Safety-critical C-V2X Communications. - Helena H. Lee, Shu Ke, Palakorn Achananuparp, Philips Kokoh Prasetyo, Yue Liu, Ee-Peng Lim, Lav R. Varshney:
RecipeGPT: Generative Pre-training Based Cooking Recipe Generation and Evaluation System. - Eunji Chong, Yongxin Wang, Nataniel Ruiz, James M. Rehg:
Detecting Attended Visual Targets in Video. - Dinesh Kumar, Rajiv Kumar, Neeru Sharma:
Dual link failure survivability with recovery time constraint: A Parallel cross connection backup route recovery strategy. - Emmanouil Fountoulakis, Nikolaos Pappas, Marian Codreanu, Anthony Ephremides:
Optimal Sampling Cost in Wireless Networks with Age of Information Constraints. - Xiaocheng Li, Chunlin Sun, Yinyu Ye:
Simple and Fast Algorithm for Binary Integer and Online Linear Programming. - Václav Rozhon:
Simple and sharp analysis of k-means||. - Antoine Amarilli, Michael Benedikt:
Finite Open-World Query Answering with Number Restrictions. - Eleni Bakali, Aggeliki Chalki, Aris Pagourtzis:
Characterizations and approximability of hard counting classes below #P. - Serhan Gül, Dimitri Podborski, Jangwoo Son, Gurdeep Singh Bhullar, Thomas Buchholz, Thomas Schierl, Cornelius Hellge:
Cloud Rendering-based Volumetric Video Streaming System for Mixed Reality Services. - Astghik Hakobyan, Insoon Yang:
Learning-based distributionally robust motion control with Gaussian processes. - Irene Celino, Gloria Re Calegari:
Submitting surveys via a conversational interface: an evaluation of user acceptance and approach effectiveness. - Alessio Zappone, Marco Di Renzo, Farshad Shams, Xuewen Qian, Mérouane Debbah:
Overhead-Aware Design of Reconfigurable Intelligent Surfaces in Smart Radio Environments. - Jian Liang, Yunbo Wang, Dapeng Hu, Ran He, Jiashi Feng:
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation. - Zheng Wang, Cheng Long, Gao Cong, Yiding Liu:
Efficient and Effective Similar Subtrajectory Search with Deep Reinforcement Learning. - Pedro Lara-Benítez, Manuel Carranza-García, Francisco Martínez-Álvarez, José C. Riquelme:
On the performance of deep learning models for time series classification in streaming. - ByungSoo Ko, Geonmo Gu:
Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning. - Jacob Deasy, Ari Ercole, Pietro Liò:
Adaptive Prediction Timing for Electronic Health Records. - Qitao Shi, Ya-Lin Zhang, Longfei Li, Xinxing Yang, Meng Li, Jun Zhou:
SAFE: Scalable Automatic Feature Engineering Framework for Industrial Tasks. - Lei Kang, Pau Riba, Yaxing Wang, Marçal Rusiñol, Alicia Fornés, Mauricio Villegas:
GANwriting: Content-Conditioned Generation of Styled Handwritten Word Images. - Sridhar Chellappa, Lihong Feng, Valentin de la Rubia, Peter Benner:
Adaptive Interpolatory MOR by Learning the Error Estimator in the Parameter Domain. - Yushi Qiu, Reiji Suda:
Permute to Train: A New Dimension to Training Deep Neural Networks. - Dvir Cohen, Yisroel Mirsky, Yuval Elovici, Rami Puzis, Manuel Kamp, Tobias Martin, Asaf Shabtai:
DANTE: A framework for mining and monitoring darknet traffic. - Antoine Amarilli, Pierre Bourhis, Stefan Mengel, Matthias Niewerth:
Constant-Delay Enumeration for Nondeterministic Document Spanners. - Ashif Mustafa, Manideepa Saha:
A generalized projection iterative methods for solving non-singular linear systems. - Édouard Bonnet, Nicolas Grelier, Tillmann Miltzow:
Maximum Clique in Disk-Like Intersection Graphs. - Wei Leng, Lili Ju:
A diagonal sweeping domain decomposition method with trace transfer for the Helmholtz equation. - David Svitov, Sergey Alyamkin:
MarginDistillation: distillation for margin-based softmax. - Fuli Feng, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
Cross-GCN: Enhancing Graph Convolutional Network with k-Order Feature Interactions. - Anton Petrov, Elena Popova, Alexander Petrov:
Some Aspects of a Software Reliability Problem. - (Withdrawn) AI outperformed every dermatologist: Improved dermoscopic melanoma diagnosis through customizing batch logic and loss function in an optimized Deep CNN architecture.
- Sarah Eberle, Bastian Harrach:
Shape Reconstruction in Linear Elasticity: Standard and Linearized Monotonicity Method. - Evangelia Kyrimi, Somayyeh Mossadegh, Nigel Tai, William Marsh:
An Incremental Explanation of Inference in Hybrid Bayesian Networks for Increasing Model Trustworthiness and Supporting Clinical Decision Making. - Sergio González, Salvador García, Sheng-Tun Li, Robert I. John, Francisco Herrera:
Fuzzy k-Nearest Neighbors with monotonicity constraints: Moving towards the robustness of monotonic noise. - Alexander Krause, Christian Zirkelbach, Wilhelm Hasselbring, Stephan Lenga, Dan Kröger:
Microservice Decomposition via Static and Dynamic Analysis of the Monolith. - Julian Bernhard, Klemens Esterle, Patrick Hart, Tobias Kessler:
BARK: Open Behavior Benchmarking in Multi-Agent Environments. - Monika Henzinger, Stefan Neumann, Andreas Wiese:
Dynamic Approximate Maximum Independent Set of Intervals, Hypercubes and Hyperrectangles. - Mirco Theile, Harald Bayerlein, Richard Nai, David Gesbert, Marco Caccamo:
UAV Coverage Path Planning under Varying Power Constraints using Deep Reinforcement Learning. - Faizan Ur Rehman, Imad Afyouni, Ahmed Lbath, Saleh M. Basalamah:
Hadath: From Social Media Mapping to Multi-Resolution Event-Enriched Maps. - Chenghao Cai, Jing Sun, Gillian Dobbie:
Measuring the Quality of B Abstract Machines with ISO/IEC 25010. - Toby Jia-Jun Li, Jingya Chen, Tom M. Mitchell, Brad A. Myers:
Towards Effective Human-AI Collaboration in GUI-Based Interactive Task Learning Agents. - Taeeon Park, Taesup Moon:
Unsupervised Neural Universal Denoiser for Finite-Input General-Output Noisy Channel. - Will Trojak, Freddie D. Witherden:
Inline Vector Compression for Computational Physics. - Samuele Tosatto, Jonas Stadtmueller, Jan Peters:
Dimensionality Reduction of Movement Primitives in Parameter Space. - Avi Singh, Eric Jang, Alexander Irpan, Daniel Kappler, Murtaza Dalal, Sergey Levine, Mohi Khansari, Chelsea Finn:
Scalable Multi-Task Imitation Learning with Autonomous Improvement. - Julien Kindle, Fadri Furrer, Tonci Novkovic, Jen Jen Chung, Roland Siegwart, Juan I. Nieto:
Whole-Body Control of a Mobile Manipulator using End-to-End Reinforcement Learning. - Marcus Ebner von Eschenbach, Binyamin Manela, Jan Peters, Armin Biess:
Metric-Based Imitation Learning Between Two Dissimilar Anthropomorphic Robotic Arms. - Carmelo Sferrazza, Thomas Bi, Raffaello D'Andrea:
Learning the sense of touch in simulation: a sim-to-real strategy for vision-based tactile sensing. - Yuri Gloumakov, Adam J. Spiers, Aaron M. Dollar:
Dimensionality Reduction and Motion Clustering during Activities of Daily Living: 3, 4, and 7 Degree-of-Freedom Arm Movements. - Jack D. Kendall, Ross D. Pantone, Juan C. Nino:
Deep Learning in Memristive Nanowire Networks. - Micha Livne, Kevin Swersky, David J. Fleet:
SentenceMIM: A Latent Variable Language Model. - Vasiliy V. Grigoriev, Oleg Iliev, Petr N. Vabishchevich:
Modified Bee Colony optimization algorithm for computational parameter identification for pore scale transport in periodic porous media. - Tamir Blum, Kazuya Yoshida:
PPMC RL Training Algorithm: Rough Terrain Intelligent Robots through Reinforcement Learning. - Emmanouil Angelis, Philippe Wenk, Bernhard Schölkopf, Stefan Bauer, Andreas Krause:
SLEIPNIR: Deterministic and Provably Accurate Feature Expansion for Gaussian Process Regression with Derivatives. - Brandon Yam-Viramontes, Diego Alberto Mercado-Ravell:
Implementation of a Natural User Interface to Command a Drone. - Xinglong Liang, Jun Xu:
Univariate ReLU neural network and its application in nonlinear system identification. - Oscar Fontanelli, Ricardo Mansilla:
Modeling the Popularity of Twitter Hashtags with Master Equations. - Hang Chen, Vahan Huroyan, Stephen G. Kobourov:
Properties of Erdős-Rényi Graphs. - Ramy Amer, M. Majid Butt, Nicola Marchetti:
Optimizing Joint Probabilistic Caching and Channel Access for Clustered D2D Networks. - Weiqiang Wu, Jing Yang, Cong Shen:
Stochastic Linear Contextual Bandits with Diverse Contexts. - Chengying Gao, Qi Liu, Qi Xu, Jianzhuang Liu, Limin Wang, Changqing Zou:
SketchyCOCO: Image Generation from Freehand Scene Sketches. - Ece Naz Erdemir, Pier Luigi Dragotti, Deniz Gündüz:
Privacy-Aware Time-Series Data Sharing with Deep Reinforcement Learning. - Luoyi Zhang, Ming Xu:
EPINE: Enhanced Proximity Information Network Embedding. - Hyeon Cho, Taehoon Kim, Hyung Jin Chang, Wonjun Hwang:
Self-Supervised Spatio-Temporal Representation Learning Using Variable Playback Speed Prediction. - Daniel Perez, Jiahua Xu, Benjamin Livshits:
We Know What They've Been Put Through: Revisiting High-scalability Blockchain Transactions. - Shun Fu, Ji Xu:
The Multi-granularity in Graph Revealed by a Generalized Leading Tree. - Javier Larrosa, Emma Rollon:
Towards a Better Understanding of (Partial Weighted) MaxSAT Proof Systems. - Jiyi Zhang, Ee-Chien Chang, Hwee Kuan Lee:
Detection and Recovery of Adversarial Attacks with Injected Attractors. - Casey A. Cole, Bethany Janos, Dien Anshari, James F. Thrasher, Scott M. Strayer, Homayoun Valafar:
Recognition of Smoking Gesture Using Smart Watch Technology. - Dustin Wright, Isabelle Augenstein:
Fact Check-Worthiness Detection as Positive Unlabelled Learning. - Florian Schmidt, Thomas Hofmann:
BERT as a Teacher: Contextual Embeddings for Sequence-Level Reward. - Farhad Nooralahzadeh, Giannis Bekoulis, Johannes Bjerva, Isabelle Augenstein:
Zero-Shot Cross-Lingual Transfer with Meta Learning. - Yongle Luo, Kun Dong, Lili Zhao, Zhiyong Sun, Chao Zhou, Bo Song:
Balance Between Efficient and Effective Learning: Dense2Sparse Reward Shaping for Robot Manipulation with Environment Uncertainty. - Sebastian Dörner, Marcus Henninger, Sebastian Cammerer, Stephan ten Brink:
WGAN-based Autoencoder Training Over-the-air. - Lu Zhang, Wenchao Ding, Jing Chen, Shaojie Shen:
Efficient Uncertainty-aware Decision-making for Automated Driving Using Guided Branching. - Dang Duy Thang, Toshihiro Matsui:
Search Space of Adversarial Perturbations against Image Filters. - Ehsan Haghighat, Maziar Raissi, Adrian Moure, Héctor Gómez, Ruben Juanes:
A deep learning framework for solution and discovery in solid mechanics: linear elasticity. - Hongxin Wei, Lei Feng, Xiangyu Chen, Bo An:
Combating noisy labels by agreement: A joint training method with co-regularization. - Tianyu Liu, Xin Zheng, Baobao Chang, Zhifang Sui:
HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference. - Yanjun Pan, Qin Lin, Het Shah, John M. Dolan:
Safe Planning for Self-Driving Via Adaptive Constrained ILQR. - Maurizio Tavelli, Simone Chiocchetti, Evgeniy I. Romenski, Alice-Agnes Gabriel, Michael Dumbser:
Space-time adaptive ADER discontinuous Galerkin schemes for nonlinear hyperelasticity with material failure. - Daniel Ish, Andrew Lohn, Christian Curriden:
A Quantitative History of A.I. Research in the United States and China. - Jun Jin, Laura Petrich, Masood Dehghan, Martin Jägersand:
A Geometric Perspective on Visual Imitation Learning. - Francesco A. N. Palmieri, Krishna R. Pattipati, Giovanni Fioretti, Giovanni Di Gennaro, Amedeo Buonanno:
Path Planning Using Probability Tensor Flows. - Mathias Gehrig, Sumit Bam Shrestha, Daniel Mouritzen, Davide Scaramuzza:
Event-Based Angular Velocity Regression with Spiking Networks. - Hangyu Zhu, Yaochu Jin:
Real-time Federated Evolutionary Neural Architecture Search. - Tao Hu, Lichao Huang, Han Shen:
Multi-object Tracking via End-to-end Tracklet Searching and Ranking. - Michael Dumbser, Simone Chiocchetti, Ilya Peshkov:
On numerical methods for hyperbolic PDE with curl involutions. - Sourjya Roy, Priyadarshini Panda, Gopalakrishnan Srinivasan, Anand Raghunathan:
Pruning Filters while Training for Efficiently Optimizing Deep Learning Networks. - Glencora Borradaile, William Maxwell, Amir Nayyeri:
Minimum bounded chains and minimum homologous chains in embedded simplicial complexes. - Igor V. Tetko, Pavel Karpov, Ruud van Deursen, Guillaume Godin:
Augmented Transformer Achieves 97% and 85% for Top5 Prediction of Direct and Classical Retro-Synthesis. - Shan Jaffry:
Cellular Traffic Prediction with Recurrent Neural Network. - Toby Hocking, Joseph Vargovich:
Linear time dynamic programming for the exact path of optimal models selected from a finite set. - Lucas Nunes Sequeira, Bruno Moreschi, Fábio Gagliardi Cozman, Bernardo Fontes:
An Empirical Accuracy Law for Sequential Machine Translation: the Case of Google Translate. - Michal Lukasik, Srinadh Bhojanapalli, Aditya Krishna Menon, Sanjiv Kumar:
Does label smoothing mitigate label noise? - Mostafa Hadadian Nejad Yousefi, Amirmasoud Ghiassi, Boshra Sadat Hashemi, Maziar Goudarzi:
Workload Scheduling on heterogeneous Mobile Edge Cloud in 5G networks to Minimize SLA Violation. - Sana Tonekaboni, Shalmali Joshi, David Duvenaud, Anna Goldenberg:
What went wrong and when? Instance-wise Feature Importance for Time-series Models. - Behnood Rasti, Danfeng Hong, Renlong Hang, Pedram Ghamisi, Xudong Kang, Jocelyn Chanussot, Jón Atli Benediktsson:
Feature Extraction for Hyperspectral Imagery: The Evolution from Shallow to Deep. - Min-Hung Chen, Baopu Li, Yingze Bao, Ghassan AlRegib, Zsolt Kira:
Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation. - Krishna Kumar P., Paul Langton, Wolfgang Gatterbauer:
Factorized Graph Representations for Semi-Supervised Learning from Sparse Data. - Cen Chen, Chen Liang, Jianbin Lin, Li Wang, Ziqi Liu, Xinxing Yang, Xiukun Wang, Jun Zhou, Shuang Yang, Yuan Qi:
InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance. - Chaochao Chen, Bingzhe Wu, Wenjin Fang, Jun Zhou, Li Wang, Yuan Qi, Xiaolin Zheng:
Practical Privacy Preserving POI Recommendation. - Jianer Chen, Ying Guo, Qin Huang:
Linear-Time Parameterized Algorithms with Limited Local Resources. - Adam Shimi, Armando Castañeda:
K set-agreement bounds in round-based models through combinatorial topology. - Mihaela Dimovska, Donatello Materassi:
An algorithm for reconstruction of triangle-free linear dynamic networks with verification of correctness. - Aurélien F. Bibaut, Antoine Chambaz, Mark J. van der Laan:
Generalized Policy Elimination: an efficient algorithm for Nonparametric Contextual Bandits. - Zhijing Li, Christopher De Sa, Adrian Sampson:
Optimizing JPEG Quantization for Classification Networks. - Mitchell A. Gordon, Kevin Duh:
Distill, Adapt, Distill: Training Small, In-Domain Models for Neural Machine Translation. - Joseph Poremba:
Static Symmetry Breaking in Many-Sorted Finite Model Finding. - Corentin Thomasset, David Barrera:
SERENIoT: Collaborative Network Security Policy Management and Enforcement for Smart Homes. - Priit Ulmas, Innar Liiv:
Segmentation of Satellite Imagery using U-Net Models for Land Cover Classification. - Jakub Fil, Dominique F. Chu:
Minimal spiking neuron for solving multi-label classification tasks. - Yichen Zhang, Chen Chen, Tianqi Hong, Bai Cui, Bo Chen, Feng Qiu:
Robust Synthesis of Wind Turbine Generators to Support Microgrid Frequency Considering Linearization-Induced Uncertainty. - Xiangyu Wu, Mark W. Mueller:
In-flight range optimization of multicopters using multivariable extremum seeking with adaptive step size. - Katalin Feher:
Expected participation and mentality of smart citizen in smart cities. - Juan Ignacio Perotti, Nahuel Almeira, Fabio Saracco:
Towards an information-theory for hierarchical partitions. - Debora Nozza, Federico Bianchi, Dirk Hovy:
What the [MASK]? Making Sense of Language-Specific BERT Models. - Yimeng Lu, Maryam Kamgarpour:
Safe Mission Planning under Dynamical Uncertainties. - Ping Liu, Hai Zhang:
Resolution Limit for Line Spectral Estimation: Theory and Algorithm. - Barbara Plank:
Neural Cross-Lingual Transfer and Limited Annotated Data for Named Entity Recognition in Danish. - Aldo Pacchiano, Heinrich Jiang, Michael I. Jordan:
Robustness Guarantees for Mode Estimation with an Application to Bandits. - Javier Pérez, María C. Quintana:
Linearizations of rational matrices from general representations. - Zakir Hussain Shaik, Emil Björnson, Erik G. Larsson:
Cell-Free Massive MIMO With Radio Stripes and Sequential Uplink Processing. - Haowen Fang, Amar Shrestha, Ziyi Zhao, Qinru Qiu:
Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network. - Mona Gridseth, Timothy D. Barfoot:
DeepMEL: Compiling Visual Multi-Experience Localization into a Deep Neural Network. - Neophytos Charalambides, Mert Pilanci, Alfred O. Hero III:
Straggler Robust Distributed Matrix Inverse Approximation. - István Sárándi, Timm Linder, Kai O. Arras, Bastian Leibe:
Metric-Scale Truncation-Robust Heatmaps for 3D Human Pose Estimation. - Seid Muhie Yimam, Gopalakrishnan Venkatesh, John Sie Yuen Lee, Chris Biemann:
Automatic Compilation of Resources for Academic Writing and Evaluating with Informal Word Identification and Paraphrasing System. - Rodrigo Henriquez-Auba, José Daniel Lara, Ciaran M. Roberts, Nathan Pallo, Duncan S. Callaway:
LITS.jl - An Open-Source Julia based Simulation Toolbox for Low-Inertia Power Systems. - Rohola Zandie, Mohammad H. Mahoor:
EmpTransfo: A Multi-head Transformer Architecture for Creating Empathetic Dialog Systems. - Aditya Golatkar, Alessandro Achille, Stefano Soatto:
Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations. - Gennaro Notomista, Siddharth Mayya, Mario Selvaggio, Maria Santos, Cristian Secchi:
A Set-Theoretic Approach to Multi-Task Execution and Prioritization. - Cyrus Rashtchian, Aneesh Sharma, David P. Woodruff:
LSF-Join: Locality Sensitive Filtering for Distributed All-Pairs Set Similarity Under Skew. - Kazuhiro Seki, Yusuke Ikuta:
S-APIR: News-based Business Sentiment Index. - Jaeseung Byun, Simo A. Mäkiharju, Mark W. Mueller:
A flow disturbance estimation and rejection strategy of multirotors with round trip trajectories. - Dinislam Abdulgalimov, Reuben Kirkham, James Nicholson, Vasilis Vlachokyriakos, Pam Briggs, Patrick Olivier:
Designing for Employee Voice. - Zhisheng Xiao, Qing Yan, Yali Amit:
Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder. - Hengyuan Hu, Adam Lerer, Alex Peysakhovich, Jakob N. Foerster:
"Other-Play" for Zero-Shot Coordination. - Avrim Blum, Chen Dan, Saeed Seddighin:
Learning Complexity of Simulated Annealing. - Xiao Ma, Ariel Liu:
Challenges in Supporting Exploratory Search through Voice Assistants. - Guanya Shi, Wolfgang Hönig, Yisong Yue, Soon-Jo Chung:
Neural-Swarm: Decentralized Close-Proximity Multirotor Control Using Learned Interactions. - Cetin Savkli, Catherine Schwartz, Amanda Galante, Jonathan Cohen:
Novel Edge and Density Metrics for Link Cohesion. - William R. Nichols Jr.:
The Cost and Benefits of Static Analysis During Development. - Dong Yang, Monica Mengqi Li, Hong Fu, Jicong Fan, Howard Leung:
Centrality Graph Convolutional Networks for Skeleton-based Action Recognition. - Shuo Ouyang, Dezun Dong, Yemao Xu, Liquan Xiao:
Communication Optimization Strategies for Distributed Deep Learning: A Survey. - Daan Camps, Roel Van Beeumen, Chao Yang:
Quantum Fourier Transform Revisited. - Hendrik Ranocha, Lajos Lóczi, David I. Ketcheson:
General Relaxation Methods for Initial-Value Problems with Application to Multistep Schemes. - Julia Mendelsohn, Yulia Tsvetkov, Dan Jurafsky:
A Framework for the Computational Linguistic Analysis of Dehumanization. - Matthias Christandl, François Le Gall, Vladimir Lysikov, Jeroen Zuiddam:
Barriers for rectangular matrix multiplication. - Kai Jia, Martin C. Rinard:
Exploiting Verified Neural Networks via Floating Point Numerical Error. - Long-fei Chen, Yuichi Nakamura, Kazuaki Kondo:
Toward Adaptive Guidance: Modeling the Variety of User Behaviors in Continuous-Skill-Improving Experiences of Machine Operation Tasks. - Yao Zhou, Guowei Wan, Shenhua Hou, Li Yu, Gang Wang, Xiaofei Rui, Shiyu Song:
DA4AD: End-to-end Deep Attention Aware Features Aided Visual Localization for Autonomous Driving. - Shihao Zhao, Xingjun Ma, Xiang Zheng, James Bailey, Jingjing Chen, Yu-Gang Jiang:
Clean-Label Backdoor Attacks on Video Recognition Models. - Davis W. Blalock, Jose Javier Gonzalez Ortiz, Jonathan Frankle, John V. Guttag:
What is the State of Neural Network Pruning? - Bingyao Huang, Haibin Ling:
DeLTra: Deep Light Transport for Projector-Camera Systems. - Hang Liu, Xiaojun Yuan, Ying Jun Zhang:
Statistical Beamforming for FDD Downlink Massive MIMO via Spatial Information Extraction and Beam Selection. - Seyedramin Rasoulinezhad, Siddhartha, Hao Zhou, Lingli Wang, David Boland, Philip H. W. Leong:
LUXOR: An FPGA Logic Cell Architecture for Efficient Compressor Tree Implementations. - Edward T. Moseley, Joy T. Wu, Jonathan Welt, John Foote Jr., Patrick D. Tyler, David W. Grant, Eric T. Carlson, Sebastian Gehrmann, Franck Dernoncourt, Leo Anthony Celi:
A Corpus for Detecting High-Context Medical Conditions in Intensive Care Patient Notes Focusing on Frequently Readmitted Patients. - Ying Jun Wilson Lee, Quang-Cuong Pham:
Robotic Assembly across Multiple Contact Stiffnesses with Robust Force Controllers. - Fei Li:
Weight hierarchies and weight distributions of two families of p-ary linear codes. - Yifan Zhang, Peilin Zhao, Qingyao Wu, Bin Li, Junzhou Huang, Mingkui Tan:
Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning. - Vitalik Buterin, Diego Hernandez, Thor Kamphefner, Khiem Pham, Zhi Qiao, Danny Ryan, Juhyeok Sin, Ying Wang, Yan X. Zhang:
Combining GHOST and Casper. - Yuedong Chen, Guoxian Song, Zhiwen Shao, Jianfei Cai, Tat-Jen Cham, Jianming Zheng:
GeoConv: Geodesic Guided Convolution for Facial Action Unit Recognition. - Michal Dory, Merav Parter:
Exponentially Faster Shortest Paths in the Congested Clique. - Minh-Tien Nguyen, Viet-Anh Phan, Le Thai Linh, Nguyen Hong Son, Le Tien Dung, Miku Hirano, Hajime Hotta:
Transfer Learning for Information Extraction with Limited Data. - Sattaya Singkul, Borirat Khampingyot, Nattasit Maharattamalai, Supawat Taerungruang, Tawunrat Chalothorn:
Parsing Thai Social Data: A New Challenge for Thai NLP. - Chan Hee Song, Dawn J. Lawrie, Tim Finin, James Mayfield:
Improving Neural Named Entity Recognition with Gazetteers. - Yuya Sasaki, George Fletcher, Makoto Onizuka:
Structural Indexing for Conjunctive Path Queries. - Ying Dai:
CNN-based Repetitive self-revised learning for photos' aesthetics imbalanced classification. - Taiping Zeng, Xiaoli Li, Bailu Si:
StereoNeuroBayesSLAM: A Neurobiologically Inspired Stereo Visual SLAM System Based on Direct Sparse Method. - Hadi Hadizadeh, Ivan V. Bajic:
Soft Video Multicasting Using Adaptive Compressed Sensing. - Corey Schimpf, Brian Castellani:
COMPLEX-IT: A Case-Based Modeling and Scenario Simulation Platform for Social Inquiry. - Wei Song, Xuezixiang Li, Sadia Afroz, Deepali Garg, Dmitry Kuznetsov, Heng Yin:
Automatic Generation of Adversarial Examples for Interpreting Malware Classifiers. - Christian Bertram, Heike Faßbender:
A link between gramian based model order reduction and moment matching. - István Faragó, Stefan M. Filipov:
The linearization methods as a basis to derive the relaxation and the shooting methods. - Xinrong Guan, Qingqing Wu, Rui Zhang:
Joint Power Control and Passive Beamforming in IRS-Assisted Spectrum Sharing. - Aitor García-Pablos, Naiara Pérez, Montse Cuadros:
Sensitive Data Detection and Classification in Spanish Clinical Text: Experiments with BERT. - Fawaz Sammani, Luke Melas-Kyriazi:
Show, Edit and Tell: A Framework for Editing Image Captions. - Paloma T. Lima, Erik Jan van Leeuwen, Marieke van der Wegen:
Algorithms for the rainbow vertex coloring problem on graph classes. - Wei Lin, Junyu Gao, Qi Wang, Xuelong Li:
Pixel-Level Self-Paced Learning for Super-Resolution. - Jesse J. Hagenaars, Federico Paredes-Vallés, Sander M. Bohté, Guido C. H. E. de Croon:
Evolved Neuromorphic Control for High Speed Divergence-based Landings of MAVs. - Tian Wang, Bo Yang, Cailian Chen:
Double-Layer Game Based Wireless Charging Scheduling for Electric Vehicles. - Johannes Klicpera, Janek Groß, Stephan Günnemann:
Directional Message Passing for Molecular Graphs. - Karol Gregor:
Finding online neural update rules by learning to remember. - Radha Manisha Kopparti, Tillman Weyde:
Weight Priors for Learning Identity Relations. - Harald Garcke, Robert Nürnberg:
Structure preserving discretisations of gradient flows for axisymmetric two-phase biomembranes. - Stig-Arne Grönroos, Sami Virpioja, Mikko Kurimo:
Morfessor EM+Prune: Improved Subword Segmentation with Expectation Maximization and Pruning. - Igor Tominec, Elisabeth Larsson, Alfa R. H. Heryudono:
A least squares radial basis function finite difference method with improved stability properties. - Kshitij Tiwari, Ville Kyrki, Allen Cheung, Naohide Yamamoto:
DeFINE: Delayed Feedback based Immersive Navigation Environment for Studying Goal-Directed Human Navigation. - Joseph Ortiz, Mark Pupilli, Stefan Leutenegger, Andrew J. Davison:
Bundle Adjustment on a Graph Processor. - Bhaskar Gautam, Oriol Ramos Terrades, Joana Maria Pujades, Miquel Valls:
Knowledge graph based methods for record linkage. - Ahmet Zahid Yalçin, Yavuz Yapici:
Multiuser Precoding for Sum-Rate Maximization in Relay-Aided mmWave Communications. - Liyuan Wang, Bo Lei, Qian Li, Hang Su, Jun Zhu, Yi Zhong:
Triple Memory Networks: a Brain-Inspired Method for Continual Learning. - Karsten Kahl, Bruno Lang:
On the equivalence of the Hermitian eigenvalue problem and hypergraph edge elimination. - Tao Gu, Hung Keng Pung, Daqing Zhang:
A P2P Context Lookup Service for Multiple Smart Spaces. - Bibhas Adhikari, Biswa Nath Datta, Tinku Ganai, Michael Karow:
Updating structured matrix pencils with no spillover effect on unmeasured spectral data and deflating pair. - Meiling Fang, Naser Damer, Florian Kirchbuchner, Arjan Kuijper:
Demographic Bias in Presentation Attack Detection of Iris Recognition Systems. - Assyr Abdulle, Giacomo Rosilho de Souza:
Instabilities and order reduction phenomenon of an interpolation based multirate Runge-Kutta-Chebyshev method. - Shrestha Ghosh, Simon Razniewski, Gerhard Weikum:
Uncovering Hidden Semantics of Set Information in Knowledge Bases. - Sarah Theres Völkel, Christina Schneegass, Malin Eiband, Daniel Buschek:
What is "Intelligent" in Intelligent User Interfaces? A Meta-Analysis of 25 Years of IUI. - Eric Guizzo, Alberto Novello:
A Neural Network Based Framework for Archetypical Sound Synthesis. - Xuyang Bai, Zixin Luo, Lei Zhou, Hongbo Fu, Long Quan, Chiew-Lan Tai:
D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features. - Victor Villena-Martinez, Sergiu Oprea, Marcelo Saval-Calvo, Jorge Azorín López, Andrés Fuster Guilló, Robert B. Fisher:
When Deep Learning Meets Data Alignment: A Review on Deep Registration Networks (DRNs). - Patrick Hart, Leonard Rychly, Alois C. Knoll:
Lane-Merging Using Policy-based Reinforcement Learning and Post-Optimization. - Patrick Bahr, Christian Uldal Graulund, Rasmus Ejlers Møgelberg:
Diamonds are not forever: Liveness in reactive programming with guarded recursion. - Tapajit Dey, Sara Mousavi, Eduardo Ponce, Tanner Fry, Bogdan Vasilescu, Anna Filippova, Audris Mockus:
Detecting and Characterizing Bots that Commit Code. - Tao Zhang, Quanyan Zhu:
Implementability of Honest Multi-Agent Sequential Decision-Making with Dynamic Population. - Nariaki Mitsuo, Seiichi Uchida, Daiki Suehiro:
No Regret Sample Selection with Noisy Labels. - Jianwen Huang, Jianjun Wang, Feng Zhang, Hailin Wang, Wendong Wang:
An analysis of noise folding for low-rank matrix recovery. - Constantine Goulimis, Gastón Simone:
Can ML predict the solution value for a difficult combinatorial problem? - Konstantin Kobs, Michael Steininger, Albin Zehe, Florian Lautenschlager, Andreas Hotho:
SimLoss: Class Similarities in Cross Entropy. - Elad Amrani, Rami Ben-Ari, Daniel Rotman, Alex M. Bronstein:
Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning. - Muhammad K. A. Hamdan, Diane T. Rover, Matthew J. Darr, John Just:
Generalizable semi-supervised learning method to estimate mass from sparsely annotated images. - Zhengwei Wang, Qi She, Alan F. Smeaton, Tomas E. Ward, Graham Healy:
A Neuro-AI Interface for Evaluating Generative Adversarial Networks. - Jaehong Yoon, Wonyong Jeong, Giwoong Lee, Eunho Yang, Sung Ju Hwang:
Federated Continual Learning with Adaptive Parameter Communication. - Napat Karnchanachari, Miguel de la Iglesia Valls, David Hoeller, Marco Hutter:
Practical Reinforcement Learning For MPC: Learning from sparse objectives in under an hour on a real robot. - Bhargav Nagaraja Bhatt, Carlo A. Furia:
Automated Repair of Resource Leaks in Android Applications. - Yu Zhang, Zhenghua Li, Houquan Zhou, Min Zhang:
Is POS Tagging Necessary or Even Helpful for Neural Dependency Parsing? - Yuanhang Zhang, Shuang Yang, Jingyun Xiao, Shiguang Shan, Xilin Chen:
Can We Read Speech Beyond the Lips? Rethinking RoI Selection for Deep Visual Speech Recognition. - William Seymour, Max Van Kleek:
Does Siri Have a Soul? Exploring Voice Assistants Through Shinto Design Fictions. - Seong Hyeon Park, Gyubok Lee, Manoj Bhat, Jimin Seo, Minseok Kang, Jonathan Francis, Ashwin R. Jadhav, Paul Pu Liang, Louis-Philippe Morency:
Diverse and Admissible Trajectory Forecasting through Multimodal Context Understanding. - Orad Reshef, Igor Aharonovich, Andrea Armani, Sylvain Gigan, Rachel Grange, Mikhail A. Kats, Riccardo Sapienza:
How to organize an online conference. - Ozan Çatal, Samuel Wauthier, Tim Verbelen, Cedric De Boom, Bart Dhoedt:
Deep Active Inference for Autonomous Robot Navigation. - Dominik Scholz, Sebastian Gallenmüller, Henning Stubbe, Bassam Jaber, Minoo Rouhi, Georg Carle:
Me Love (SYN-)Cookies: SYN Flood Mitigation in Programmable Data Planes. - Péter Burcsi, Gabriele Fici, Zsuzsanna Lipták, Rajeev Raman, Joe Sawada:
Generating a Gray code for prefix normal words in amortized polylogarithmic time per word. - Sarper Aydin, Ceyhun Eksin:
Decentralized Learning-aware Communication and Communication-aware Mobility Control for the Target Assignment Problem. - Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Nicolae-Catalin Ristea, Nicu Sebe:
Non-linear Neurons with Human-like Apical Dendrite Activations. - Bernhard Kratzwald, Xiang Yue, Huan Sun, Stefan Feuerriegel:
Practical Annotation Strategies for Question Answering Datasets. - Kunihiro Noda, Takashi Kobayashi, Kiyoshi Agusa:
Constructing Object Groups Corresponding to Concepts for Recovery of a Summarized Sequence Diagram. - Wenhua Wang, Yuqun Zhang, Zhengran Zeng, Guandong Xu:
TranS^3: A Transformer-based Framework for Unifying Code Summarization and Code Search. - Mutian He, Yangqiu Song, Kun Xu, Dong Yu:
On the Role of Conceptualization in Commonsense Knowledge Graph Construction. - Theodore Papamarkou, Hayley Guy, Bryce Kroencke, Jordan Miller, Preston Robinette, Daniel Schultz, Jacob D. Hinkle, Laura Pullum, Catherine D. Schuman, Jeremy Renshaw, Stylianos Chatzidakis:
Automated detection of pitting and stress corrosion cracks in used nuclear fuel dry storage canisters using residual neural networks. - Suat Gumussoy, Wim Michiels:
Computing H-infinity Norms of Time-Delay Systems. - Lihi Shiloh-Perl, Raja Giryes:
Introduction to deep learning. - Pierre Fraigniaud, Ami Paz:
The Topology of Local Computing in Networks. - Pavly Salah Zaki, Marco Magdy William, Bolis Karam Soliman, Kerolos Gamal Alexsan, Keroles K. Khalil, Magdy A. El-Moursy:
Traffic Signs Detection and Recognition System using Deep Learning. - Letizia Mariotti, Ciarán Hughes:
Spherical formulation of moving object geometric constraints for monocular fisheye cameras. - Erion Çano, Maurizio Morisio:
Quality of Word Embeddings on Sentiment Analysis Tasks. - Alberto Alvarez, José M. Font:
Learning the Designer's Preferences to Drive Evolution. - Felix Last, Max Haeberlein, Ulf Schlichtmann:
Predicting Memory Compiler Performance Outputs using Feed-Forward Neural Networks. - Roberto L. Castro, Diego Andrade, Basilio B. Fraguela:
A Hybrid Approach for Tracking Individual Players in Broadcast Match Videos. - Florian Lehmann, Daniel Buschek:
Heartbeats in the Wild: A Field Study Exploring ECG Biometrics in Everyday Life. - Evgenii Tsymbalov, Kirill Fedyanin, Maxim Panov:
Dropout Strikes Back: Improved Uncertainty Estimation via Diversity Sampled Implicit Ensembles. - Davide Scaini:
Wavelet-based spatial audio framework. - Tiago Azevedo, Luca Passamonti, Pietro Liò, Nicola Toschi:
Towards a predictive spatio-temporal representation of brain data. - Fuxiang Huang, Lei Zhang, Yang Yang, Xichuan Zhou:
Probability Weighted Compact Feature for Domain Adaptive Retrieval. - Shubham Goswami, Suril Mehta, Dhruva Sahrawat, Anubha Gupta, Ritu Gupta:
Heterogeneity Loss to Handle Intersubject and Intrasubject Variability in Cancer. - Hui Xu, Zhuangbin Chen, Mingshen Sun, Yangfan Zhou:
Memory-Safety Challenge Considered Solved? An Empirical Study with All Rust CVEs. - Jiajia Guo, Xi Yang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li:
DL-based CSI Feedback and Cooperative Recovery in Massive MIMO. - David Gureya, João Neto, Reza Karimi, João Barreto, Pramod Bhatotia, Vivien Quéma, Rodrigo Rodrigues, Paolo Romano, Vladimir Vlassov:
Bandwidth-Aware Page Placement in NUMA. - Mikihiro Tanaka, Tatsuya Harada:
Captioning Images with Novel Objects via Online Vocabulary Expansion. - Hassan ZivariFard, Matthieu R. Bloch, Aria Nosratinia:
Keyless Covert Communication via Channel State Information. - Ricardo Filipe, Shady Issa, Paolo Romano, João Barreto:
Stretching the capacity of Hardware Transactional Memory in IBM POWER architectures. - Marc Faddoul, Guillaume Chaslot, Hany Farid:
A Longitudinal Analysis of YouTube's Promotion of Conspiracy Videos. - Felix Sattler, Thomas Wiegand, Wojciech Samek:
Trends and Advancements in Deep Neural Network Communication. - Rui Zhou, Shiji Song, Anke Xue, Keyou You, Hui Wu:
Smart Train Operation Algorithms based on Expert Knowledge and Reinforcement Learning. - Jori Bomanson, Tomi Janhunen:
Boosting Answer Set Optimization with Weighted Comparator Networks. - Kaushik Jayaram, Jennifer Shum, Samantha Castellanos, E. Farrell Helbling, Robert J. Wood:
Scaling down an insect-size microrobot, HAMR-VI into HAMR-Jr. - Jonas Latz, Juan P. Madrigal-Cianci, Fabio Nobile, Raúl Tempone:
Generalized Parallel Tempering on Bayesian Inverse Problems. - Yousef Emam, Siddharth Mayya, Gennaro Notomista, Addison W. Bohannon, Magnus Egerstedt:
Adaptive Task Allocation for Heterogeneous Multi-Robot Teams with Evolving and Unknown Robot Capabilities. - Oleksandr V. Palagin, Vitalii Velychko, Kyrylo Malakhov, Oleksandr Shchurov:
Distributional semantic modeling: a revised technique to train term/word vector space models applying the ontology-related approach. - Rui Zhou:
Tighter Bound Estimation of Sensitivity Analysis for Incremental and Decremental Data Modification. - Lluís Alemany-Puig, Mercè Mora, Ramon Ferrer-i-Cancho:
Reappraising the distribution of the number of edge crossings of graphs on a sphere. - Othon Michail, George Skretas, Paul G. Spirakis:
Distributed Computation and Reconfiguration in Actively Dynamic Networks. - Xiao Luo, Chong Chen, Huasong Zhong, Hao Zhang, Minghua Deng, Jianqiang Huang, Xiansheng Hua:
A Survey on Deep Hashing Methods. - Alberto Alvarez, Steve Dahlskog, José M. Font, Julian Togelius:
Interactive Constrained MAP-Elites Analysis and Evaluation of the Expressiveness of the Feature Dimensions. - Esteban Real, Chen Liang, David R. So, Quoc V. Le:
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch. - Ikram Ullah, Umar Hayat, Miguel D. Bustamante:
An efficient image encryption scheme based on ordered quasi-resonant Rossby/drift wave triads and Mordell elliptic curves. - Eduardo D. C. Carvalho, Ronald Clark, Andrea Nicastro, Paul H. J. Kelly:
Scalable Uncertainty for Computer Vision with Functional Variational Inference. - Raman Arora, Peter L. Bartlett, Poorya Mianjy, Nathan Srebro:
Dropout: Explicit Forms and Capacity Control. - Gabriel Gomes, Juliette Ugirumurera, Xiaoye S. Li:
Distributed macroscopic traffic simulation with Open Traffic Models. - Jehanzeb H. Chaudhry, J. B. Collins:
A posteriori Error Estimation for the Spectral Deferred Correction Method. - Lalitha Muthu Subramanian, Roopa Vishwanathan, Kartick Kolachala:
Balance Transfers and Bailouts in Credit Networks using Blockchains. - Jakub Kowalski, Marek Szykula:
Experimental Studies in General Game Playing: An Experience Report. - Jiaming Zha, Xiangyu Wu, Joseph Kroeger, Natalia Perez, Mark W. Mueller:
A collision-resilient aerial vehicle with icosahedron tensegrity structure. - Mohammad Shahrad, Rodrigo Fonseca, Iñigo Goiri, Gohar Irfan Chaudhry, Paul Batum, Jason Cooke, Eduardo Laureano, Colby Tresness, Mark Russinovich, Ricardo Bianchini:
Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provider. - Soumya Basu, Orestis Papadigenopoulos, Constantine Caramanis, Sanjay Shakkottai:
Contextual Blocking Bandits. - Hangyu Mao, Zhibo Gong, Zhen Xiao:
Reward Design in Cooperative Multi-agent Reinforcement Learning for Packet Routing. - Julian Frommel, Valentin Sagl, Ansgar E. Depping, Colby Johanson, Matthew K. Miller, Regan L. Mandryk:
Recognizing Affiliation: Using Behavioural Traces to Predict the Quality of Social Interactions in Online Games. - Martin Haenggi:
SIR Analysis via Signal Fractions. - Yuval Pinter, Cassandra L. Jacobs, Max Bittker:
NYTWIT: A Dataset of Novel Words in the New York Times. - Chitta Baral, Pratyay Banerjee, Kuntal Kumar Pal, Arindam Mitra:
Natural Language QA Approaches using Reasoning with External Knowledge. - Dominik Picheta:
Code Obfuscation for the C/C++ Language. - Pon Kumar Sharoff, Nishant A. Mehta, Ravi Ganti:
A Farewell to Arms: Sequential Reward Maximization on a Budget with a Giving Up Option. - Zilong Wang, Erzhong Xue, Guang Gong:
New Constructions of Complementary Sequence Pairs over 4q-QAM. - Weili Nie, Tero Karras, Animesh Garg, Shoubhik Debnath, Anjul Patney, Ankit B. Patel, Anima Anandkumar:
Semi-Supervised StyleGAN for Disentanglement Learning. - Lantao Yu, Yang Song, Jiaming Song, Stefano Ermon:
Training Deep Energy-Based Models with f-Divergence Minimization. - Yutao Han, Hubert Lin, Jacopo Banfi, Kavita Bala, Mark E. Campbell:
DeepSemanticHPPC: Hypothesis-based Planning over Uncertain Semantic Point Clouds. - Philipp Drewe-Boss, Dirk Enders, Jochen Walker, Uwe Ohler:
Deep learning for prediction of population health costs. - Asnat Greenstein-Messica, Roman Vainshtein, Gilad Katz, Bracha Shapira, Lior Rokach:
Automatic Machine Learning Derived from Scholarly Big Data. - Matthew Taylor, Ruturaj K. Vaidya, Drew Davidson, Lorenzo De Carli, Vaibhav Rastogi:
SpellBound: Defending Against Package Typosquatting. - Jingpei Lu, Ambareesh Jayakumari, Florian Richter, Yang Li, Michael C. Yip:
SuPer Deep: A Surgical Perception Framework for Robotic Tissue Manipulation using Deep Learning for Feature Extraction. - Shashank Tripathi, Siddhant Ranade, Ambrish Tyagi, Amit Agrawal:
PoseNet3D: Unsupervised 3D Human Shape and Pose Estimation. - Jordan Lam, Robert Abbas:
Machine Learning based Anomaly Detection for 5G Networks. - Qinqing Zheng, Bor-Yiing Su, Jiyan Yang, Alisson G. Azzolini, Qiang Wu, Ou Jin, Shri Karandikar, Hagay Lupesko, Liang Xiong, Eric Zhou:
ShadowSync: Performing Synchronization in the Background for Highly Scalable Distributed Training. - Sam M. Werner, Paul J. Pritz, Daniel Perez:
Step on the Gas? A Better Approach for Recommending the Ethereum Gas Price. - Md. Habibur Rahman Sifat, Chowdhury Rafeed Rahman, Mohammad Rafsan, Md. Hasibur Rahman:
Synthetic Error Dataset Generation Mimicking Bengali Writing Pattern. - Zongyi Li, Nikola B. Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar:
Neural Operator: Graph Kernel Network for Partial Differential Equations. - André Flores, Rodrigo C. de Lamare, Bruno Clerckx:
Study of Linear Precoding and Stream Combining for Rate Splitting in MU-MIMO Systems. - Zechun Liu, Zhiqiang Shen, Marios Savvides, Kwang-Ting Cheng:
ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions. - Yuxin Zhang, Zuquan Zheng, Roland Hu:
Super Resolution Using Segmentation-Prior Self-Attention Generative Adversarial Network. - Ehsan Emamjomeh-Zadeh, Chen-Yu Wei, Haipeng Luo, David Kempe:
Adversarial Online Learning with Changing Action Sets: Efficient Algorithms with Approximate Regret Bounds. - Wensheng Cheng, Yan Zhang, Xu Lei, Wen Yang, Guisong Xia:
Semantic Change Pattern Analysis. - Fan Zhang, Vincent K. N. Lau, Gong Zhang:
MIMO Amplify-and-Forward Precoding for Networked Control Systems. - Yan Hong, Li Niu, Jianfu Zhang, Liqing Zhang:
MatchingGAN: Matching-based Few-shot Image Generation. - Xiaojie Qi, Yindi Zhao:
Weight mechanism adding a constant in concatenation of series connect. - Palash Goyal, Saurabh Sahu, Shalini Ghosh, Chul Lee:
Cross-modal Learning for Multi-modal Video Categorization. - Ting-En Lin, Hua Xu:
A Post-processing Method for Detecting Unknown Intent of Dialogue System via Pre-trained Deep Neural Network Classifier. - Wenwei Xue, Hung Keng Pung, Wen Long Ng, Tao Gu:
Data Management for Context-Aware Computing. - Balasubramaniam Thirunavukarasu, Richi Nayak, Chau Yuen:
Columnwise Element Selection for Computationally Efficient Nonnegative Coupled Matrix Tensor Factorization. - Hongliang Bi, Pengyuan Liu:
ECSP: A New Task for Emotion-Cause Span-Pair Extraction and Classification. - Qisheng Wang, Mingsheng Ying:
Quantum Random Access Stored-Program Machines. - Jun Han:
Scalable Approximate Inference and Some Applications. - Lingfeng Tao, Michael Bowman, Xu Zhou, Xiaoli Zhang:
Learn and Transfer Knowledge of Preferred Assistance Strategies in Semi-autonomous Telemanipulation. - Gary R. Marple, David J. Gorsich, Paramsothy Jayakumar, Shravan K. Veerapaneni:
An Active Learning Framework for Constructing High-fidelity Mobility Maps. - Bowen Wen, Chaitanya Mitash, Sruthi Soorian, Andrew Kimmel, Avishai Sintov, Kostas E. Bekris:
Robust, Occlusion-aware Pose Estimation for Objects Grasped by Adaptive Hands. - Hanting Chen, Yunhe Wang, Han Shu, Changyuan Wen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu:
Distilling portable Generative Adversarial Networks for Image Translation. - Tingbo Hou, Adel Ahmadyan, Liangkai Zhang, Jianing Wei, Matthias Grundmann:
MobilePose: Real-Time Pose Estimation for Unseen Objects with Weak Shape Supervision. - Vincenzo Crescimanna, Bruce Graham:
The Variational InfoMax Learning Objective. - Xinwei Yue, Yuanwei Liu, Yuanyuan Yao, Tian Li, Xuehua Li, Rongke Liu, Arumugam Nallanathan:
Outage Behaviors of NOMA-based Satellite Network over Shadowed-Rician Fading Channels. - Andreea Peca, Adriana Tapus, Amir Aly, Cristina Pop, Lavinia Jisa, Sebastian Pintea, Alina Rusu, Daniel O. David:
Exploratory Study: Children's with Autism Awareness of being Imitated by Nao Robot. - Wen Wang, Xiaojiang Peng, Yanzhou Su, Yu Qiao, Jian Cheng:
TTPP: Temporal Transformer with Progressive Prediction for Efficient Action Anticipation. - Ali Choumane, Zein Al Abidin Ibrahim:
Friend Recommendation based on Hashtags Analysis. - Axel Laborieux, Maxence Ernoult, Tifenn Hirtzlin, Damien Querlioz:
Synaptic Metaplasticity in Binarized Neural Networks. - Wansheng Wang, Mengli Mao, Zheng Wang:
Stability and error estimates for the variable step-size BDF2 method for linear and semilinear parabolic equations. - Jay Gupta, Swaprava Nath:
SkillCheck: An Incentive-based Certification System using Blockchains. - Devansh Saxena, Karla A. Badillo-Urquiola, Pamela J. Wisniewski, Shion Guha:
A Human-Centered Review of the Algorithms used within the U.S. Child Welfare System. - Eric Heiden, Luigi Palmieri, Kai Oliver Arras, Gaurav S. Sukhatme, Sven Koenig:
Experimental Comparison of Global Motion Planning Algorithms for Wheeled Mobile Robots. - Zhikang Zou, Yifan Liu, Shuangjie Xu, Wei Wei, Shiping Wen, Pan Zhou:
Crowd Counting via Hierarchical Scale Recalibration Network. - David Ríos Insua, Roi Naveiro, Víctor Gallego, Jason Poulos:
Adversarial Machine Learning: Perspectives from Adversarial Risk Analysis. - Aihua Mao, Canglan Dai, Lin Gao, Ying He, Yong-Jin Liu:
STD-Net: Structure-preserving and Topology-adaptive Deformation Network for 3D Reconstruction from a Single Image. - Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos:
General-Purpose Communicative Function Recognition using a Hierarchical Network with Cascading Outputs and Maximum a Posteriori Path Estimation. - Edith Elkind, Neel Patel, Alan Tsang, Yair Zick:
Keeping Your Friends Close: Land Allocation with Friends. - Shiqi Zheng, Peng Shi, Ramesh K. Agarwal, Chee Peng Lim:
Periodic event-triggered output regulation for linear multi-agent systems. - Jinjin Xu, Wenli Du, Ran Cheng, Wangli He, Yaochu Jin:
Ternary Compression for Communication-Efficient Federated Learning. - Kuntal Deka, Minerva Priyadarsini, Sanjeev Sharma, Baltasar Beferull-Lozano:
Design of SCMA Codebooks Using Differential Evolution. - Bin Zhu, Qing Song, Lu Yang, Zhihui Wang, Chun Liu, Mengjie Hu:
CPM R-CNN: Calibrating Point-guided Misalignment in Object Detection. - Balasubramaniam Thirunavukarasu, Richi Nayak, Chau Yuen:
Efficient Nonnegative Tensor Factorization via Saturating Coordinate Descent. - Tianxin Feng, Lifeng Xie, Jianping Yao, Jie Xu:
Outage Probability Minimization for UAV-Enabled Data Collection with Distributed Beamforming. - Songyang Zhang:
An Online Learning Based Path Selection for Multipath Video Telephony Service in Overlay. - Jussi Hanhirova, Anton Debner, Matias Hyyppä, Vesa Hirvisalo:
A machine learning environment for evaluating autonomous driving software. - Yuri Viazovetskyi, Vladimir Ivashkin, Evgeny Kashin:
StyleGAN2 Distillation for Feed-forward Image Manipulation. - Apostolos Galanopoulos, Victor Valls, George Iosifidis, Douglas J. Leith:
Measurement-driven Analysis of an Edge-Assisted Object Recognition System. - Pengli Lu, Chen Dong:
EMH: Extended Mixing H-index centrality for identification important users in social networks based on neighborhood diversity. - Fang Wan, Zheng Wang, Brooke Franchuk, Xinyao Hu, Zhenglong Sun, Chaoyang Song:
Hybrid Actuator Design for a Gait Augmentation Wearable. - Apostolos Galanopoulos, Argyrios G. Tasiopoulos, George Iosifidis, Theodoros Salonidis, Douglas J. Leith:
Improving IoT Analytics through Selective Edge Execution. - Manos Athanasakos, Nicholas Kalouptsidis:
Strong Secrecy for General Multiple-Access Wiretap Channels. - Andreas Björklund, Petteri Kaski:
The Fine-Grained Complexity of Computing the Tutte Polynomial of a Linear Matroid. - Armin Pournaki, Felix Gaisbauer, Sven Banisch, Eckehard Olbrich:
The twitter explorer: a framework for observing Twitter through interactive networks. - Nina Mazyavkina, Sergei Sviridov, Sergei Ivanov, Evgeny Burnaev:
Reinforcement Learning for Combinatorial Optimization: A Survey. - (Withdrawn) RNN-based Online Learning: An Efficient First-Order Optimization Algorithm with a Convergence Guarantee.
- Shoukai Xu, Haokun Li, Bohan Zhuang, Jing Liu, Jiezhang Cao, Chuangrun Liang, Mingkui Tan:
Generative Low-bitwidth Data Free Quantization. - Sérgio Esteves, Gianmarco De Francisci Morales, Rodrigo Rodrigues, Marco Serafini, Luís Veiga:
Aion: Better Late than Never in Event-Time Streams. - Jaroslav Nesetril, Patrice Ossona de Mendez, Michal Pilipczuk, Xuding Zhu:
Clustering powers of sparse graphs. - Kai Wang, Zhi Zhou:
High-order Time Stepping Schemes for Semilinear Subdiffusion Equations. - Jie Chen, Ziyang Yuan, Jian Peng, Li Chen, Haozhe Huang, Jiawei Zhu, Tao Lin, Haifeng Li:
DASNet: Dual attentive fully convolutional siamese networks for change detection of high resolution satellite images. - Zhe Li, Chunhua Sun, Chunli Liu, Xiayu Chen, Meng Wang, Yezheng Liu:
RCC-Dual-GAN: An Efficient Approach for Outlier Detection with Few Identified Anomalies. - Radek Oslejsek, Vít Rusnák, Karolína Dockalová Burská, Valdemar Svábenský, Jan Vykopal, Jakub Cegan:
Conceptual Model of Visual Analytics for Hands-on Cybersecurity Training. - Katherine Van Koevering, Austin R. Benson, Jon M. Kleinberg:
Frozen Binomials on the Web: Word Ordering and Language Conventions in Online Text. - Rishab Sharma, Rahul Deora, Anirudha Vishvakarma:
AlphaNet: An Attention Guided Deep Network for Automatic Image Matting. - Qiang Du, Zhi Zhou:
Nonlocal-in-time dynamics and crossover of diffusive regimes. - Xu Cheng, Zhefan Rao, Yilan Chen, Quanshi Zhang:
Explaining Knowledge Distillation by Quantifying the Knowledge. - Amit P. Sheth, Swati Padhee, Amelie Gyrard:
Knowledge Graphs and Knowledge Networks: The Story in Brief. - Xin Chen, Yutong Nie, Na Li:
Online Residential Demand Response via Contextual Multi-Armed Bandits. - Kiril Solovey:
Complexity of Planning. - Majed El Helou, Frederike Dümbgen, Sabine Süsstrunk:
AL2: Progressive Activation Loss for Learning General Representations in Classification Neural Networks. - Hoda Abbasizanjani, Oliver Kullmann:
Classification of minimally unsatisfiable 2-CNFs. - Zining Wang, Di Feng, Yiyang Zhou, Wei Zhan, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer, Masayoshi Tomizuka:
Inferring Spatial Uncertainty in Object Detection. - Nabiha Asghar, Ivan Kobyzev, Jesse Hoey, Pascal Poupart, Muhammad Bilal Sheikh:
Generating Emotionally Aligned Responses in Dialogues using Affect Control Theory. - Tiago Cortinhal, George Tzelepis, Eren Erdal Aksoy:
SalsaNext: Fast Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving. - Noel Kennedy, Imogen Schofield, Dave C. Brodbelt, David B. Church, Dan G. O'Neill:
Discovering linguistic (ir)regularities in word embeddings through max-margin separating hyperplanes. - Brian A. Powell:
Securing LSB embedding against structural steganalysis. - Rami Puzis, Polina Zilberman, Yuval Elovici:
ATHAFI: Agile Threat Hunting And Forensic Investigation. - Juntao Yu, Massimo Poesio:
Multi-task Learning Based Neural Bridging Reference Resolution. - Thayer Alshaabi, David Rushing Dewhurst, Joshua R. Minot, Michael V. Arnold, Jane Lydia Adams, Christopher M. Danforth, Peter Sheridan Dodds:
The growing echo chamber of social media: Measuring temporal and social contagion dynamics for over 150 languages on Twitter for 2009-2020. - Tianlang Chen, Jiajun Deng, Jiebo Luo:
Adaptive Offline Quintuplet Loss for Image-Text Matching. - Yuxin Xiao, Adit Krishnan, Hari Sundaram:
Discovering Strategic Behaviors for Collaborative Content-Production in Social Networks. - Fatih Ilhan, Suleyman Serdar Kozat:
Modeling of Spatio-Temporal Hawkes Processes with Randomized Kernels. - Cao Vien Phung, Anna Engelmann, Admela Jukan:
Error Correction with Systematic RLNC in Multi-Channel THz Communication Systems. - Ahmed Salem, Rui Wen, Michael Backes, Shiqing Ma, Yang Zhang:
Dynamic Backdoor Attacks Against Machine Learning Models. - Shahryar Rahnamayan, Seyed Jalaleddin Mousavirad, Azam Asilian Bidgoli:
Shahryar Origami Optimization (SOO): A Novel Approach for Solving Large-scale Expensive Optimization Problems Efficiently. - Michael Bowman, Xiaoli Zhang:
An Intent-based Task-aware Shared Control Framework for Intuitive Object Telemanipulation. - Songyan Xin, Sethu Vijayakumar:
Online Dynamic Motion Planning and Control for Wheeled Biped Robots. - Ying Zhang, Xinan Wang, Jianhui Wang, Yingchen Zhang:
Deep Reinforcement Learning Based Volt-VAR Optimization in Smart Distribution Systems. - Jinseok Choi, Gilwon Lee, Ahmed Alkhateeb, Alan Gatherer, Naofal Al-Dhahir, Brian L. Evans:
Advanced Receiver Architectures for Millimeter Wave Communications with Low-Resolution ADCs. - Bo Liu:
Geometry and Topology of Deep Neural Networks' Decision Boundaries. - Behzad Ghazanfari, Fatemeh Afghah, MohammadTaghi Hajiaghayi:
Inverse Feature Learning: Feature learning based on Representation Learning of Error. - Haoran Ma, Benyamin Ghojogh, Maria N. Samad, Dongyu Zheng, Mark Crowley:
Isolation Mondrian Forest for Batch and Online Anomaly Detection. - Peter Benner, Davide Palitta:
On the Solution of the Nonsymmetric T-Riccati Equation. - Hammad A. Ayyubi, Yi Yao, Ajay Divakaran:
Progressive Growing of Neural ODEs. - Feng Yin, Zhidi Lin, Yue Xu, Qinglei Kong, Deshi Li, Sergios Theodoridis, Shuguang Cui:
FedLoc: Federated Learning Framework for Cooperative Localization and Location Data Processing. - Depeng Xu, Wei Du, Xintao Wu:
Removing Disparate Impact of Differentially Private Stochastic Gradient Descent on Model Accuracy. - Yang Feng, Futang Peng, Xu Zhang, Wei Zhu, Shanfeng Zhang, Howard Zhou, Zhen Li, Tom Duerig, Shih-Fu Chang, Jiebo Luo:
Unifying Specialist Image Embedding into Universal Image Embedding. - Dongxu Li, Xin Yu, Chenchen Xu, Lars Petersson, Hongdong Li:
Transferring Cross-domain Knowledge for Video Sign Language Recognition. - Shuo Yang, Wei Yu, Ying Zheng, Hongxun Yao, Tao Mei:
Adaptive Semantic-Visual Tree for Hierarchical Embeddings. - Yufeng Zhang, Qi Cai, Zhuoran Yang, Zhaoran Wang:
Generative Adversarial Imitation Learning with Neural Networks: Global Optimality and Convergence Rate. - Li Liu, Jiong Zhang, Da Chen, Huazhong Shu, Laurent D. Cohen:
Trajectory Grouping with Curvature Regularization for Tubular Structure Tracking. - Shuo Yang, Min Xu, Hongxun Yao:
Meta3D: Single-View 3D Object Reconstruction from Shape Priors in Memory. - Shuo Feng, Yiheng Feng, Haowei Sun, Yi Zhang, Henry X. Liu:
Adaptive Testing Scenario Library Generation for Connected and Automated Vehicles. - Zhanshan (Sam) Ma:
Spatiotemporal fluctuation scaling law and metapopulation modeling of the novel coronavirus (COVID-19) and SARS outbreaks. - Fangyi Zhu, Jenq-Neng Hwang, Zhanyu Ma, Jun Guo:
Object-Oriented Video Captioning with Temporal Graph and Prior Knowledge Building. - Yu-Siang Wang, Yen-Ling Kuo, Boris Katz:
Investigating the Decoders of Maximum Likelihood Sequence Models: A Look-ahead Approach. - Kanata Suzuki, Yasuto Yokota, Yuzi Kanazawa, Tomoyoshi Takebayashi:
Online Self-Supervised Learning for Object Picking: Detecting Optimum Grasping Position using a Metric Learning Approach. - Jieyu Lin, Kristina Dzeparoska, Sai Qian Zhang, Alberto Leon-Garcia, Nicolas Papernot:
On the Robustness of Cooperative Multi-Agent Reinforcement Learning. - Marcin Waniek, Gururaghav Raman, Bedoor K. AlShebli, Jimmy Chih-Hsien Peng, Talal Rahwan:
Traffic networks are vulnerable to disinformation attacks. - Kei Kase, Chris Paxton, Hammad Mazhar, Tetsuya Ogata, Dieter Fox:
Transferable Task Execution from Pixels through Deep Planning Domain Learning. - Jhanani Selvakumar, Efstathios Bakolas:
Min-Max Q-Learning for Multi-Player Pursuit-Evasion Games. - Joo-Kyung Kim, Young-Bum Kim:
Pseudo Labeling and Negative Feedback Learning for Large-scale Multi-label Domain Classification. - Adnan Rashid, Umair Siddique, Sofiène Tahar:
Formal Verification of Cyber-Physical Systems using Theorem Proving (Invited Paper). - Ke Xu, Néstor Osvaldo Pérez-Arancibia:
Electronics-Free Pneumatic Logic Circuits for Localized Feedback Control of Multi-Actuator Soft Robots. - Qingxia Liu, Gong Cheng, Kalpa Gunaratna, Yuzhong Qu:
ESBM: An Entity Summarization BenchMark. - Qingxia Liu, Gong Cheng, Yuzhong Qu:
DeepLENS: Deep Learning for Entity Summarization. - Triet Huynh Minh Le, David Hin, Roland Croft, Muhammad Ali Babar:
PUMiner: Mining Security Posts from Developer Question and Answer Websites with PU Learning. - Jinghua Zhang, Chen Li, Frank Kulwa, Xin Zhao, Changhao Sun, Zihan Li, Tao Jiang, Hong Li:
A Multi-scale CNN-CRF Framework for Environmental Microorganism Image Segmentation. - Jia Chen, Qin Jin:
Better Captioning with Sequence-Level Exploration. - Mainak Dan, Seshadhri Srinivasan, Suresh Sundaram, Arvind Easwaran, Luigi Glielmo:
A Scenario-based Branch-and-Bound Approach for MES Scheduling in Urban Buildings. - Shen Gao, Peihao Dong, Zhiwen Pan, Geoffrey Ye Li:
Reinforcement Learning Based Cooperative Coded Caching under Dynamic Popularities in Ultra-Dense Networks. - Elad Plaut, Erez Ben-Yaacov, Bat El Shlomo:
Monocular 3D Object Detection in Cylindrical Images from Fisheye Cameras. - Yanlin Qian, Jani Käpylä, Joni-Kristian Kämäräinen, Samu Koskinen, Jiri Matas:
A Benchmark for Temporal Color Constancy. - Y. V. S. Harish, Harit Pandya, Ayush Gaud, Shreya Terupally, Narasimhan Sai Shankar, K. Madhava Krishna:
DFVS: Deep Flow Guided Scene Agnostic Image Based Visual Servoing. - Haibo Jin, Shengcai Liao, Ling Shao:
Pixel-In-Pixel Net: Towards Efficient Facial Landmark Detection in the Wild. - Hui Chen, Guiguang Ding, Xudong Liu, Zijia Lin, Ji Liu, Jungong Han:
IMRAM: Iterative Matching with Recurrent Attention Memory for Cross-Modal Image-Text Retrieval. - Zhedong Zheng, Yi Yang:
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation. - Xin-She Yang:
Nature-Inspired Optimization Algorithms: Challenges and Open Problems. - Fernando Gama, Elvin Isufi, Geert Leus, Alejandro Ribeiro:
Graphs, Convolutions, and Neural Networks. - Raphaël Dang-Nhu, Gagandeep Singh, Pavol Bielik, Martin T. Vechev:
Adversarial Attacks on Probabilistic Autoregressive Forecasting Models. - Melvin Laux, Oleg Arenz, Jan Peters, Joni Pajarinen:
Deep Adversarial Reinforcement Learning for Object Disentangling. - Yonggang Li, Guosheng Hu, Yongtao Wang, Timothy M. Hospedales, Neil Martin Robertson, Yongxing Yang:
DADA: Differentiable Automatic Data Augmentation. - Zhangsheng Lai, Aik Beng Ng, Liang Ze Wong, Simon See, Shaowei Lin:
Dependently Typed Knowledge Graphs. - Dongliang Chang, Aneeshan Sain, Zhanyu Ma, Yi-Zhe Song, Jun Guo:
Mind the Gap: Enlarging the Domain Gap in Open Set Domain Adaptation. - Qian Li, San-Yang Liu, Xin-She Yang:
Influence of Initialization on the Performance of Metaheuristic Optimizers. - Anthony Bonato, Melissa A. Huggan, Trent G. Marbach, Fionn Mc Inerney:
The Game of Cops and Eternal Robbers. - Divyam Aggarwal, Dhish Kumar Saxena, Thomas Bäck, Michael Emmerich:
Real-World Airline Crew Pairing Optimization: Customized Genetic Algorithm versus Column Generation Method. - Ana Pervan, Todd D. Murphey:
Bayesian Particles on Cyclic Graphs. - Philip Heinisch, Katharina Ostaszewski, Hendrik Ranocha:
Towards Green Computing: A Survey of Performance and Energy Efficiency of Different Platforms using OpenCL. - Federico Giaimo, Christian Berger:
Continuous Experimentation for Automotive Software on the Example of a Heavy Commercial Vehicle in Daily Operation. - Shangsen Li, Lailong Luo, Deke Guo:
Multiset Synchronization with Counting Cuckoo Filters. - José A. Carrillo, Daniel Matthes, Marie-Therese Wolfram:
Lagrangian schemes for Wasserstein gradient flows. - Federico Giaimo, Hugo Sica de Andrade, Christian Berger:
Continuous Experimentation and the Cyber-Physical Systems challenge. An overview in literature and the industrial perspective. - Yan Ding, Xiaohan Zhang, Xingyue Zhan, Shiqi Zhang:
Task-Motion Planning for Safe and Efficient Urban Driving. - Sachit Menon, Alexandru Damian, Shijia Hu, Nikhil Ravi, Cynthia Rudin:
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models. - Kaihua Qin, Liyi Zhou, Benjamin Livshits, Arthur Gervais:
Attacking the DeFi Ecosystem with Flash Loans for Fun and Profit. - Xinmeng Li, James Van Deventer, Soha Hassoun:
ASAP-SML: An Antibody Sequence Analysis Pipeline Using Statistical Testing and Machine Learning. - Petar Milin, Harish Tayyar Madabushi, Michael Croucher, Dagmar Divjak:
Keeping it simple: Implementation and performance of the proto-principle of adaptation and learning in the language sciences. - Jarkko Suuronen, Muhammad F. Emzir, Sari Lasanen, Simo Särkkä, Lassi Roininen:
Enhancing Industrial X-ray Tomography by Data-Centric Statistical Methods. - Yongxing Wang, Peter K. Jimack, Mark A. Walkley, Olivier Pironneau:
An energy stable one-field monolithic arbitrary Lagrangian-Eulerian formulation for fluid-structure interaction. - Grigorios G. Chrysos, Stylianos Moschoglou, Giorgos Bouritsas, Jiankang Deng, Yannis Panagakis, Stefanos Zafeiriou:
Π-nets: Deep Polynomial Neural Networks. - Marco Antoniotti:
Why You Cannot (Yet) Write an "Interval Arithmetic" Library in Common Lisp. - Lorenzo Nespoli, Vasco Medici:
Multivariate Boosted Trees and Applications to Forecasting and Control. - Ruoyi Du, Dongliang Chang, Ayan Kumar Bhunia, Jiyang Xie, Yi-Zhe Song, Zhanyu Ma, Jun Guo:
Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches. - Lucileide M. D. Da Silva, Maria G. F. Coutinho, Carlos E. B. Santos, Mailson Ribeiro Santos, Luiz Affonso Guedes, M. Dolores Ruiz, Marcelo A. C. Fernandes:
Hardware Architecture Proposal for TEDA algorithm to Data Streaming Anomaly Detection. - Vahid Garousi, Austen Rainer, Per Lauvås Jr., Andrea Arcuri:
Software-testing education: A systematic literature mapping. - Simon Fowler, Simon D. Harding, Joanna L. Sharman, James Cheney:
Cross-tier web programming for curated databases: A case study. - Sharjeel Khan, Girish Mururu, Santosh Pande:
A Compiler Assisted Scheduler for Detecting and Mitigating Cache-Based Side Channel Attacks. - Suat Gumussoy, Marc Millstone, Michael L. Overton:
H-infinity Strong Stabilization via HIFOO, a Package for Fixed-Order Controller Design. - Nina Wiedemann, Carlos A. Dietrich, Cláudio T. Silva:
A Tracking System For Baseball Game Reconstruction. - Lingling Fan, Zhixin Miao:
A Modular Small-Signal Analysis Framework for Inverter Penetrated Power Grids: Measurement, Assembling, Aggregation, and Stability Assessment. - Abubakar Abid, James Y. Zou:
Improving Training on Noisy Stuctured Labels. - Wojciech Jamroga, Wojciech Penczek, Teofil Sidoruk:
Strategic Abilities of Asynchronous Agents: Semantic Paradoxes and How to Tame Them. - Pierre Miasnikof, Seo Hong, Yuri A. Lawryshyn:
Graph Clustering Via QUBO and Digital Annealing. - Xianpei Han, Zhichun Wang, Jiangtao Zhang, Qinghua Wen, Wenqi Li, Buzhou Tang, Qi Wang, Zhifan Feng, Yang Zhang, Yajuan Lu, Haitao Wang, Wenliang Chen, Hao Shao, Yubo Chen, Kang Liu, Jun Zhao, Taifeng Wang, Kezun Zhang, Meng Wang, Yinlin Jiang, Guilin Qi, Lei Zou, Sen Hu, Minhao Zhang, Yinnian Lin:
Overview of the CCKS 2019 Knowledge Graph Evaluation Track: Entity, Relation, Event and QA. - Qicheng Lao, Mehrzad Mortazavi, Marzieh Tahaei, Francis Dutil, Thomas Fevens, Mohammad Havaei:
FoCL: Feature-Oriented Continual Learning for Generative Models. - Sanghyuk Chun, Seong Joon Oh, Sangdoo Yun, Dongyoon Han, Junsuk Choe, Youngjoon Yoo:
An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods. - Yong Liu, Lizhong Ding, Weiping Wang:
Theoretical Analysis of Divide-and-Conquer ERM: Beyond Square Loss and RKHS. - Yong Liu, Lizhong Ding, Weiping Wang:
Nearly Optimal Clustering Risk Bounds for Kernel K-Means. - Hendrik Ranocha, Jan Nordström:
A Class of A Stable Summation by Parts Time Integration Schemes. - Nursefa Zengin, Baris Fidan:
Adaptive Extremum Seeking Using Recursive Least Squares. - Yihe Dong, Will Sawin:
COPT: Coordinated Optimal Transport on Graphs. - Jinran Wu, You-Gan Wang:
A working likelihood approach to support vector regression with a data-driven insensitivity parameter. - Aman Sinha, Matthew O'Kelly, Hongrui Zheng, Rahul Mangharam, John C. Duchi, Russ Tedrake:
FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis. - Can Peng, Kun Zhao, Brian C. Lovell:
Faster ILOD: Incremental Learning for Object Detectors based on Faster RCNN. - Axel Barrau, Silvère Bonnabel:
A Mathematical Framework for IMU Error Propagation with Applications to Preintegration. - Ryan Self, Moad Abudia, Rushikesh Kamalapurkar:
Online inverse reinforcement learning with unknown disturbances. - Zhanpeng Zhang, Kaipeng Zhang:
FarSee-Net: Real-Time Semantic Segmentation by Efficient Multi-scale Context Aggregation and Feature Space Super-resolution. - Josef Dick, Takashi Goda, Hiroya Murata:
Toeplitz Monte Carlo. - (Withdrawn) BitTensor: An Intermodel Intelligence Measure.
- Liaojun Pang, Jiong Chen, Fei Guo, Zhicheng X. Cao, Heng Zhao:
ROSE: Real One-Stage Effort to Detect the Fingerprint Singular Point Based on Multi-scale Spatial Attention. - Sankalp Garg, Navodita Sharma, Woojeong Jin, Xiang Ren:
Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution. - Xu Yang, Hanwang Zhang, Jianfei Cai:
Deconfounded Image Captioning: A Causal Retrospect. - Tengyang Xie, Nan Jiang:
Q* Approximation Schemes for Batch Reinforcement Learning: A Theoretical Comparison. - Amedeo Fabris, Kevin Kleber, Davide Falanga, Davide Scaramuzza:
Geometry-aware Compensation Scheme for Morphing Drones. - Sunandita Patra, James Mason, Amit Kumar, Malik Ghallab, Paolo Traverso, Dana S. Nau:
Integrating Acting, Planning and Learning in Hierarchical Operational Models. - Raha Moraffah, Mansooreh Karami, Ruocheng Guo, Adrienne Raglin, Huan Liu:
Causal Interpretability for Machine Learning - Problems, Methods and Evaluation. - Jinchan He, Xiaxia Yu, Chudong Cai, Yi Gao:
MCMC Guided CNN Training and Segmentation for Pancreas Extraction. - Wonchul Son, Youngbin Kim, Wonseok Song, Youngsu Moon, Wonjun Hwang:
Pacemaker: Intermediate Teacher Knowledge Distillation For On-The-Fly Convolutional Neural Network. - Sanjoy Dasgupta, Sivan Sabato:
Robust Learning from Discriminative Feature Feedback. - Yue Feng:
Long time error analysis of the fourth-order compact finite difference methods for the nonlinear Klein-Gordon equation with weak nonlinearity. - Mao Shan, Julie Stephany Berrio, Stewart Worrall, Eduardo M. Nebot:
Probabilistic Egocentric Motion Correction of Lidar Point Cloud and Projection to Camera Images for Moving Platforms. - Hao Wang, Doyen Sahoo, Chenghao Liu, Ke Shu, Palakorn Achananuparp, Ee-Peng Lim, Steven C. H. Hoi:
Cross-Modal Food Retrieval: Learning a Joint Embedding of Food Images and Recipes with Semantic Consistency and Attention Mechanism. - Andrew Frohmader:
Adaptive Fibonacci and Pairing Heaps. - Hikaru Shindo, Masaaki Nishino, Yasuaki Kobayashi, Akihiro Yamamoto:
Metric Learning for Ordered Labeled Trees with pq-grams. - Ziwei Wang, Ziyi Wu, Jiwen Lu, Jie Zhou:
BiDet: An Efficient Binarized Object Detector. - Qiong Wu, Muhong Wu, Xu Chen, Zhi Zhou, Kaiwen He, Liang Chen:
DeepCP: Deep Learning Driven Cascade Prediction Based Autonomous Content Placement in Closed Social Network. - Long Chen, Haizhou Ai, Rui Chen, Zijie Zhuang, Shuang Liu:
Cross-View Tracking for Multi-Human 3D Pose Estimation at over 100 FPS. - Hepeng Zhang, Quan Quan:
Fast Collision Probability Estimation Based on Finite-Dimensional Monte Carlo Method. - Yu Zheng, Chen Gao, Xiangnan He, Yong Li, Depeng Jin:
Price-aware Recommendation with Graph Convolutional Networks. - Nikhil Iyer, V. Thejas, Nipun Kwatra, Ramachandran Ramjee, Muthian Sivathanu:
Wide-minima Density Hypothesis and the Explore-Exploit Learning Rate Schedule. - Yuan Zhang, Yuanqing Xia, Han Gao, Guangchen Zhang:
Structural Controllability of Undirected Diffusive Networks with Vector-Weighted Edges. - Mingshuang Luo, Shuang Yang, Shiguang Shan, Xilin Chen:
Pseudo-Convolutional Policy Gradient for Sequence-to-Sequence Lip-Reading. - Gernot Herbst, Arne-Jens Hempel, Thomas Göhrt, Stefan Streif:
Half-Gain Tuning for Active Disturbance Rejection Control. - Divyam Aggarwal, Dhish Kumar Saxena, Thomas Bäck, Michael Emmerich:
AirCROP: Airline Crew Pairing Optimizer for Complex Flight Networks Involving Multiple Crew Bases & Billion-Plus Variables. - Jinyu Yang, Weizhi An, Chaochao Yan, Peilin Zhao, Junzhou Huang:
Context-Aware Domain Adaptation in Semantic Segmentation. - Dan-Li Zhi, Zhi-Hui Li, Zhao-Wei Han, Li-Juan Liu:
A Verifiable Quantum Secret Sharing Scheme Based on a Single Qubit. - Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg:
Dense Dilated Convolutions Merging Network for Land Cover Classification. - Yuanhao Cai, Zhicheng Wang, Zhengxiong Luo, Binyi Yin, Angang Du, Haoqian Wang, Xinyu Zhou, Erjin Zhou, Xiangyu Zhang, Jian Sun:
Learning Delicate Local Representations for Multi-Person Pose Estimation. - Wanqiu Long, Xinyi Cai, James E. M. Reid, Bonnie Webber, Deyi Xiong:
Shallow Discourse Annotation for Chinese TED Talks. - Yuanzhi Li, Zehao Dou:
When can Wasserstein GANs minimize Wasserstein Distance? - Pauline Luc, Aidan Clark, Sander Dieleman, Diego de Las Casas, Yotam Doron, Albin Cassirer, Karen Simonyan:
Transformation-based Adversarial Video Prediction on Large-Scale Data. - Xunjie Zhu, Gerard de Melo:
Sentence Analogies: Exploring Linguistic Relationships and Regularities in Sentence Embeddings. - Xiang Li, Peng Wang:
TEDL: A Text Encryption Method Based on Deep Learning. - Shengchao Yan, Jingwei Zhang, Daniel Büscher, Wolfram Burgard:
Efficiency and Equity are Both Essential: A Generalized Traffic Signal Controller with Deep Reinforcement Learning. - Reza Azad, Abdur R. Fayjie, Claude Kauffmann, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz:
On the Texture Bias for Few-Shot CNN Segmentation. - Bert Cox, Liesbet Van der Perre, Stijn Wielandt, Geoffrey Ottoy, Lieven De Strycker:
High Precision Hybrid RF and Ultrasonic Chirp-based Ranging for Low-Power IoT Nodes. - Simon Becher, Gunar Matthies:
Variational Time Discretizations of Higher Order and Higher Regularity. - Lukas Hedegaard, Omar Ali Sheikh-Omar, Alexandros Iosifidis:
Supervised Domain Adaptation using Graph Embedding. - Ahmed Touati, Adrien Ali Taïga, Marc G. Bellemare:
Zooming for Efficient Model-Free Reinforcement Learning in Metric Spaces. - Fangbin Wan, Yang Wu, Xuelin Qian, Yanwei Fu:
When Person Re-identification Meets Changing Clothes. - Tobias Daudert:
A Multi-Source Entity-Level Sentiment Corpus for the Financial Domain: The FinLin Corpus. - Chaimae Asaad, Karim Baïna, Mounir Ghogho:
NoSQL Databases: Yearning for Disambiguation. - Ryoma Sato:
A Survey on The Expressive Power of Graph Neural Networks. - Gonzalo Marín, Pedro Casas, Germán Capdehourat:
DeepMAL - Deep Learning Models for Malware Traffic Detection and Classification. - Pedro Casas:
Two Decades of AI4NETS-AI/ML for Data Networks: Challenges & Research Directions. - Kailin Tong, Zlatan Ajanovic, Georg Stettinger:
Overview of Tools Supporting Planning for Automated Driving. - Jingren Xu, Keisuke Koyama, Weiwei Wan, Yukiyasu Domae, Kensuke Harada:
Selecting and Designing Grippers for an Assembly Task in a Structured Approach. - Zitong Yu, Chenxu Zhao, Zezheng Wang, Yunxiao Qin, Zhuo Su, Xiaobai Li, Feng Zhou, Guoying Zhao:
Searching Central Difference Convolutional Networks for Face Anti-Spoofing. - Mikolaj Wieczorek, Andrzej Michalowski, Anna Wróblewska, Jacek Dabrowski:
A Strong Baseline for Fashion Retrieval with Person Re-Identification Models. - Stefan Eckhardt, Sven Kosub, Johannes Nowak:
Smoothed Analysis of Trie Height by Star-like PFAs. - Ryan R. Curtin, Marcus Edel, Rahul Ganesh Prabhu, Suryoday Basak, Zhihao Lou, Conrad Sanderson:
Flexible numerical optimization with ensmallen. - Ahmed Touati, Amy Zhang, Joelle Pineau, Pascal Vincent:
Stable Policy Optimization via Off-Policy Divergence Regularization. - M. G. Sarwar Murshed, Edward Verenich, James J. Carroll, Nazar Khan, Faraz Hussain:
Hazard Detection in Supermarkets using Deep Learning on the Edge. - Edward Verenich, Alvaro Velasquez, M. G. Sarwar Murshed, Faraz Hussain:
The Utility of Feature Reuse: Transfer Learning in Data-Starved Regimes. - Chenfan Zhuang, Xintong Han, Weilin Huang, Matthew R. Scott:
iFAN: Image-Instance Full Alignment Networks for Adaptive Object Detection. - Ibrahim Jubran, Murad Tukan, Alaa Maalouf, Dan Feldman:
Sets Clustering. - Vince Kurtz, Patrick M. Wensing, Hai Lin:
Robust Approximate Simulation for Hierarchical Control of Linear Systems under Disturbances. - Jialin Gao, Zhixiang Shi, Jiani Li, Guanshuo Wang, Yufeng Yuan, Shiming Ge, Xi Zhou:
Accurate Temporal Action Proposal Generation with Relation-Aware Pyramid Network. - Pulkit A. Misra, Srihari Radhakrishnan, Jeffrey S. Chase, Johannes Gehrke, Alvin R. Lebeck:
Lightweight Inter-transaction Caching with Precise Clocks and Dynamic Self-invalidation. - Pau Rodríguez, Issam H. Laradji, Alexandre Drouin, Alexandre Lacoste:
Embedding Propagation: Smoother Manifold for Few-Shot Classification. - Derek Ruths, Caitrin Armstrong:
The Residence History Inference Problem. - Giovanni Cioffi, Davide Scaramuzza:
Tightly-coupled Fusion of Global Positional Measurements in Optimization-based Visual-Inertial Odometry. - Marciano da Rocha, Dalton Cézane Gomes Valadares, Angelo Perkusich, Kyller Costa Gorgônio, Rodrigo Tomaz Pagno, Newton Carlos Will:
Secure Cloud Storage with Client-Side Encryption Using a Trusted Execution Environment. - Seyed Yahya Nikouei, Yu Chen, Alexander J. Aved, Erik Blasch:
I-ViSE: Interactive Video Surveillance as an Edge Service using Unsupervised Feature Queries. - Ivan Fursov, Alexey Zaytsev, Nikita Kluchnikov, Andrey Kravchenko, Evgeny Burnaev:
Gradient-based adversarial attacks on categorical sequence models via traversing an embedded world. - Zhilin Chen, Foad Sohrabi, Ya-Feng Liu, Wei Yu:
Phase Transition Analysis for Covariance Based Massive Random Access with Massive MIMO. - Pedro Cabalar, Jorge Fandinno, Torsten Schaub, Philipp Wanko:
A Uniform Treatment of Aggregates and Constraints in Hybrid ASP. - Ziv Aharoni, Dor Tsur, Ziv Goldfeld, Haim Henri Permuter:
Capacity of Continuous Channels with Memory via Directed Information Neural Estimator. - Pritish Kamath, Omar Montasser, Nathan Srebro:
Approximate is Good Enough: Probabilistic Variants of Dimensional and Margin Complexity. - Gurcan Comert, Mizanur Rahman, Mhafuzul Islam, Mashrur Chowdhury:
Change Point Models for Real-time Cyber Attack Detection in Connected Vehicle Environment. - Yu He, Yun Cai, Yuan-Chen Guo, Zheng-Ning Liu, Shao-Kui Zhang, Song-Hai Zhang, Hongbo Fu, Sheng-Yong Chen:
Style-compatible Object Recommendation for Multi-room Indoor Scene Synthesis. - Alejandro Barrera, Carlos Guindel, Jorge Beltrán, Fernando García:
BirdNet+: End-to-End 3D Object Detection in LiDAR Bird's Eye View. - Nima Mohammadi Meshky, Sara Iodice, Krystian Mikolajczyk:
Domain Adversarial Training for Infrared-colour Person Re-Identification. - Piji Li:
An Empirical Investigation of Pre-Trained Transformer Language Models for Open-Domain Dialogue Generation. - Neda Navidi:
Human AI interaction loop training: New approach for interactive reinforcement learning. - Hongbo Zou, Hsuanwei Michelle Chen, Sharmistha Dey:
Engaging Users through Social Media in Public Libraries. - Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool:
Semantic Object Prediction and Spatial Sound Super-Resolution with Binaural Sounds. - Rania Ibrahim, David F. Gleich:
Local Hypergraph Clustering using Capacity Releasing Diffusion. - Bernd Finkbeiner, Christopher Hahn, Markus N. Rabe, Frederik Schmitt:
Teaching Temporal Logics to Neural Networks. - Roberto Sebastiani:
Are You Satisfied by This Partial Assignment? - Daniel A. Abolafia, Rishabh Singh, Manzil Zaheer, Charles Sutton:
Towards Modular Algorithm Induction. - Piotr Padlewski, Krzysztof Pszeniczny, Richard Smith:
Modeling the Invariance of Virtual Pointers in LLVM. - Georgios Georgakis, Ren Li, Srikrishna Karanam, Terrence Chen, Jana Kosecka, Ziyan Wu:
Hierarchical Kinematic Human Mesh Recovery. - Pratham Oza, Mahsa Foruhandeh, Ryan M. Gerdes, Thidapat Chantem:
Secure Traffic Lights: Replay Attack Detection for Model-based Smart Traffic Controllers. - David Marco Sommer, Liwei Song, Sameer Wagh, Prateek Mittal:
Towards Probabilistic Verification of Machine Unlearning. - Brendan John, Sophie Jörg, Sanjeev J. Koppal, Eakta Jain:
The Security-Utility Trade-off for Iris Authentication and Eye Animation for Social Virtual Avatars. - Tsigigenet Dessalgn, Seungmo Kim:
Danger Aware Vehicular Networking. - Tianfei Zhou, Shunzhou Wang, Yi Zhou, Yazhou Yao, Jianwu Li, Ling Shao:
Motion-Attentive Transition for Zero-Shot Video Object Segmentation. - Lars Jaffke, Paloma T. Lima, Daniel Lokshtanov:
b-Coloring Parameterized by Clique-Width. - Célestin Coquidé, Wlodzimierz Lewoniewski:
Novel version of PageRank, CheiRank and 2DRank for Wikipedia in Multilingual Network using Social Impact. - Jung-Su Ha, Danny Drieß, Marc Toussaint:
Probabilistic Framework for Constrained Manipulations and Task and Motion Planning under Uncertainty. - Weimin Wang, Shohei Nobuhara, Ryosuke Nakamura, Ken Sakurada:
SOIC: Semantic Online Initialization and Calibration for LiDAR and Camera. - Sara Mousavi, Dylan Lee, Tatianna Griffin, Dawnie W. Steadman, Audris Mockus:
Collaborative Learning of Semi-Supervised Clustering and Classification for Labeling Uncurated Data. - Tianfei Zhou, Wenguan Wang, Siyuan Qi, Haibin Ling, Jianbing Shen:
Cascaded Human-Object Interaction Recognition. - Meng Zhang, Deepanshu Vasal:
Mechanism design for large scale systems. - Antonio Candelieri, Bruno G. Galuzzi, Ilaria Giordani, Francesco Archetti:
Learning Optimal Control of Water Distribution Networks through Sequential Model-based Optimization. - Zhongdong Liu, Liang Huang, Bin Li, Bo Ji:
Anti-Aging Scheduling in Single-Server Queues: A Systematic and Comparative Study. - Saket Dingliwal, Divyansh Pareek, Jatin Arora:
Finding Input Characterizations for Output Properties in ReLU Neural Networks. - Antonio Candelieri, Riccardo Perego, Ilaria Giordani, Andrea Ponti, Francesco Archetti:
Modelling Human Active Search in Optimizing Black-box Functions. - Kaicheng Yu, René Ranftl, Mathieu Salzmann:
How to Train Your Super-Net: An Analysis of Training Heuristics in Weight-Sharing NAS. - Seunghwan Lee, Seobin Park, Donghyeon Cho, Jiwon Kim, Tae Hyun Kim:
Restore from Restored: Video Restoration with Pseudo Clean Video. - Vida Dujmovic, Louis Esperet, Gwenaël Joret, Cyril Gavoille, Piotr Micek, Pat Morin:
Adjacency Labelling for Planar Graphs (and Beyond). - Behzad Ghazanfari, Fatemeh Afghah:
Deep Inverse Feature Learning: A Representation Learning of Error. - Jing Yang, Brais Martínez, Adrian Bulat, Georgios Tzimiropoulos:
Knowledge distillation via adaptive instance normalization. - Karan P. Jain, Jerry Tang, Koushil Sreenath, Mark W. Mueller:
Staging energy sources to extend flight time of a multirotor UAV. - Mahdi Karami, Dale Schuurmans:
Variational Inference for Deep Probabilistic Canonical Correlation Analysis. - Kornilios Kourtis, Martino Dazzi, Nikolas Ioannou, Tobias Grosser, Abu Sebastian, Evangelos Eleftheriou:
Compiling Neural Networks for a Computational Memory Accelerator. - Peng Zhang, Jianbin Fang, Canqun Yang, Chun Huang, Tao Tang, Zheng Wang:
Optimizing Streaming Parallelism on Heterogeneous Many-Core Architectures: A Machine Learning Based Approach. - Chu Guo, Dario Poletti:
A scheme for automatic differentiation of complex loss functions. - Jun Chen, Yong Liu, Hao Zhang, Shengnan Hou, Jian Yang:
Propagating Asymptotic-Estimated Gradients for Low Bitwidth Quantized Neural Networks. - Xinlei Chen, Haoqi Fan, Ross B. Girshick, Kaiming He:
Improved Baselines with Momentum Contrastive Learning. - Mandela Patrick, Yuki Markus Asano, Ruth Fong, João F. Henriques, Geoffrey Zweig, Andrea Vedaldi:
Multi-modal Self-Supervision from Generalized Data Transformations. - Ondrej Biza, Robert Platt Jr., Jan-Willem van de Meent, Lawson L. S. Wong:
Learning discrete state abstractions with deep variational inference. - Li-Juan Liu, Zhi-Hui Li, Zhao-Wei Han, Dan-Li Zhi:
A quantum secret sharing scheme with verifiable function. - Benjamin Charles Germain Lee, Kyle Lo, Doug Downey, Daniel S. Weld:
Explanation-Based Tuning of Opaque Machine Learners with Application to Paper Recommendation. - Salomón Wollenstein-Betech, Arian Houshmand, Mauro Salazar, Marco Pavone, Christos G. Cassandras, Ioannis Ch. Paschalidis:
Congestion-aware Routing and Rebalancing of Autonomous Mobility-on-Demand Systems in Mixed Traffic. - Zhishuai Guo, Zixuan Wu, Yan Yan, Xiaoyu Wang, Tianbao Yang:
Revisiting SGD with Increasingly Weighted Averaging: Optimization and Generalization Perspectives. - Tsubasa Sakai, Shuhei Kudo, Hiroto Imachi, Yuto Miyatake, Takeo Hoshi, Yusaku Yamamoto:
A Parallelizable Energy-Preserving Integrator MB4 and Its Application to Quantum-Mechanical Wavepacket Dynamics. - Anirudh Paranjothi:
Performance Analysis of Message Dissemination Techniques in VANET using Fog Computing. - Rahul Sharma, Krishna Somandepalli, Shrikanth Narayanan:
Crossmodal learning for audio-visual speech event localization. - Chaoyue Niu, Danesh Tarapore, Klaus-Peter Zauner:
Low-viewpoint forest depth dataset for sparse rover swarms. - Vaishali V. Ingale, Pushpender Singh:
GenNet : Reading Comprehension with Multiple Choice Questions using Generation and Selection model. - Haoyuan Sun, David Grimsman, Jason R. Marden:
Distributed Submodular Maximization with Parallel Execution. - Quanyu Liao, Xin Wang, Bin Kong, Siwei Lyu, Youbing Yin, Qi Song, Xi Wu:
Category-wise Attack: Transferable Adversarial Examples for Anchor Free Object Detection. - Kumar Sankar Ray, Sandip Paul, Diganta Saha:
Belief Base Revision for Further Improvement of Unified Answer Set Programming. - Songyang Han, Fei Miao:
Behavior Planning For Connected Autonomous Vehicles Using Feedback Deep Reinforcement Learning. - Mujahid Sultan:
Probabilistic Partitive Partitioning (PPP). - Jorge Peña Queralta, Carmen Martínez Almansa, Fabrizio Schiano, Dario Floreano, Tomi Westerlund:
UWB-based system for UAV Localization in GNSS-Denied Environments: Characterization and Dataset. - J. Armando Colunga, Héctor M. Becerra, Carlos Renato Vázquez, David Gómez-Gutiérrez:
Predefined-Time Consensus of High-Order Multi-Agent Systems. - Qicheng Lao, Xiang Jiang, Mohammad Havaei, Yoshua Bengio:
Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay. - Hassan Shokouhandeh, MahmoodReza Ghaharpour, Hamid Ghobadi Lamouki, Yaser Rahmani Pashakolaei, Fatemeh Rahmani, Mahmood Hosseini Imani:
Optimal Estimation of Capacity and Location of Wind, Solar and Fuel Cell Sources in Distribution Systems Considering Load Changes by Lightning Search Algorithm. - Adam Gaier, Alexander Asteroth, Jean-Baptiste Mouret:
Automating Representation Discovery with MAP-Elites. - Yinbo Chen, Xiaolong Wang, Zhuang Liu, Huijuan Xu, Trevor Darrell:
A New Meta-Baseline for Few-Shot Learning. - Anirudh Vemula, Yash Oza, J. Andrew Bagnell, Maxim Likhachev:
Planning and Execution using Inaccurate Models with Provable Guarantees. - Ruochen Yin, Biao Yu, Huapeng Wu, Yuntao Song, Runxin Niu:
FusionLane: Multi-Sensor Fusion for Lane Marking Semantic Segmentation Using Deep Neural Networks. - Jean-Baptiste Mouret, Glenn Maguire:
Quality Diversity for Multi-task Optimization. - Pierre Laclau, Vladislav Tempez, Franck Ruffier, Enrico Natalizio, Jean-Baptiste Mouret:
Signal-based self-organization of a chain of UAVs for subterranean exploration. - Wentao Wu:
A Note On Operator-Level Query Execution Cost Modeling. - Diego Figueira, Adwait Godbole, S. Krishna, Wim Martens, Matthias Niewerth, Tina Trautner:
Containment of Simple Regular Path Queries. - Rémi Giraud, Yannick Berthoumieu:
Texture Superpixel Clustering from Patch-based Nearest Neighbor Matching. - Machel Reid, Edison Marrese-Taylor, Yutaka Matsuo:
Combining Pretrained High-Resource Embeddings and Subword Representations for Low-Resource Languages. - Roman Sokolovskii, Alexandre Graell i Amat, Fredrik Brännström:
Finite-Length Scaling of Spatially Coupled LDPC Codes Under Window Decoding Over the BEC. - Johannes Schneider:
Correlated Initialization for Correlated Data. - Andrew T. Barker, Stephan V. Gelever, Chak Shing Lee, Sarah V. Osborn, Panayot S. Vassilevski:
Multilevel spectral coarsening for graph Laplacian problems with application to reservoir simulation. - Rohan Chandra, Uttaran Bhattacharya, Trisha Mittal, Aniket Bera, Dinesh Manocha:
CMetric: A Driving Behavior Measure Using Centrality Functions. - Christos Karapapas, Iakovos Pittaras, Nikos Fotiou, George C. Polyzos:
Ransomware as a Service using Smart Contracts and IPFS. - Yan Zhang, Michael M. Zavlanos:
Transfer Reinforcement Learning under Unobserved Contextual Information. - Rémi Giraud, Merlin Boyer, Michaël Clément:
Multi-Scale Superpatch Matching using Dual Superpixel Descriptors. - Federico Giaimo, Hugo Sica de Andrade, Christian Berger:
The Automotive Take on Continuous Experimentation: A Multiple Case Study. - Michael Painter, Bruno Lacerda, Nick Hawes:
Convex Hull Monte-Carlo Tree Search. - Shivam Gautam, Gregory P. Meyer, Carlos Vallespi-Gonzalez, Brian C. Becker:
SDVTracker: Real-Time Multi-Sensor Association and Tracking for Self-Driving Vehicles. - Qian Huang, Horace He, Abhay Singh, Yan Zhang, Ser-Nam Lim, Austin R. Benson:
Set-Structured Latent Representations. - Hamid Shiri, Jihong Park, Mehdi Bennis:
Communication-Efficient Massive UAV Online Path Control: Federated Learning Meets Mean-Field Game Theory. - Hyunjun Eun, Daeyeong Kim, Chanho Jung, Changick Kim:
Single-view 2D CNNs with Fully Automatic Non-nodule Categorization for False Positive Reduction in Pulmonary Nodule Detection. - Sarah Bird, Vikas Mishra, Steven Englehardt, Rob Willoughby, David Zeber, Walter Rudametkin, Martin Lopatka:
Actions speak louder than words: Semi-supervised learning for browser fingerprinting detection. - Alexandre Pineault, Guillaume-Alexandre Bilodeau, Gilles Pesant:
Tracking Road Users using Constraint Programming. - Vuong M. Ngo, Nhien-An Le-Khac, M. Tahar Kechadi:
Data Warehouse and Decision Support on Integrated Crop Big Data. - Nishad Gothoskar, Miguel Lázaro-Gredilla, Abhishek Agarwal, Yasemin Bekiroglu, Dileep George:
Learning a generative model for robot control using visual feedback. - Remi Tachet des Combes, Han Zhao, Yu-Xiang Wang, Geoffrey J. Gordon:
Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift. - Davoud Mougouei:
Engineering Human Values in Software through Value Programming. - Essam A. Rashed, M. Samir Abou El-Seoud:
Deep learning approach for breast cancer diagnosis. - Changkun Jiang, Lin Gao, Tong Wang, Yufei Jiang, Jianqiang Li:
Crowd-MECS: A Novel Crowdsourcing Framework for Mobile Edge Caching and Sharing. - Keqin Liu:
Graded Automatic Differentiation. - Ignacio Brevis, Ignacio Muga, Kristoffer G. van der Zee:
Data-Driven Finite Elements Methods: Machine Learning Acceleration of Goal-Oriented Computations. - Adam Kortylewski, Ju He, Qing Liu, Alan L. Yuille:
Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial Occlusion. - Hanchao Yu, Shanhui Sun, Haichao Yu, Xiao Chen, Honghui Shi, Thomas S. Huang, Terrence Chen:
FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation. - Ali Anaissi, Basem Suleiman, Seid Miad Zandavi:
Online Tensor-Based Learning for Multi-Way Data. - Lucian Cojocar, Jeremie S. Kim, Minesh Patel, Lillian Tsai, Stefan Saroiu, Alec Wolman, Onur Mutlu:
Are We Susceptible to Rowhammer? An End-to-End Methodology for Cloud Providers. - Rui Zhang, Yunxing Zhang, Xuelong Li:
Graph Convolutional Auto-encoder with Bi-decoder and Adaptive-sharing Adjacency. - Noga Alon, Amos Beimel, Shay Moran, Uri Stemmer:
Closure Properties for Private Classification and Online Prediction. - Wonkyung Jung, Eojin Lee, Sangpyo Kim, Keewoo Lee, Namhoon Kim, Chohong Min, Jung Hee Cheon, Jung Ho Ahn:
HEAAN Demystified: Accelerating Fully Homomorphic Encryption Through Architecture-centric Analysis and Optimization. - Vamsi K. Vegamoor, Shaojie Yan, Sivakumar Rathinam, Swaroop Darbha:
Mobility and Safety Benefits of Connectivity in CACC Vehicle Strings. - Samarth Sinha, Homanga Bharadhwaj, Anirudh Goyal, Hugo Larochelle, Animesh Garg, Florian Shkurti:
DIBS: Diversity inducing Information Bottleneck in Model Ensembles. - Yan Song, Yingfeng Chen, Yujing Hu, Changjie Fan:
Exploring Unknown States with Action Balance. - Haotian Zhang, Jianyong Sun, Zongben Xu:
Learning to be Global Optimizer. - Xudong Chen:
Controllability Issues of Linear Ensemble Systems. - Kang-Hee Cho, Si-Hyeon Lee:
Treating Interference as Noise is Optimal for Covert Communication over Interference Channels. - K. Palani Thanaraj, B. Parvathavarthini, Urcun John Tanik, V. Rajinikanth, Seifedine Nimer Kadry, Krishnamurthy Kamalanand:
Implementation of Deep Neural Networks to Classify EEG Signals using Gramian Angular Summation Field for Epilepsy Diagnosis. - Li Xiao, Yufan Luo, Chunlong Luo, Lianhe Zhao, Quanshui Fu, Guoqing Yang, Anpeng Huang, Yi Zhao:
PBRnet: Pyramidal Bounding Box Refinement to Improve Object Localization Accuracy. - Dingzhu Wen, Mehdi Bennis, Kaibin Huang:
Joint Parameter-and-Bandwidth Allocation for Improving the Efficiency of Partitioned Edge Learning. - Kaixuan Wei, Ying Fu, Hua Huang:
3D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising. - Ki Hyun Tae, Steven Euijong Whang:
Slice Tuner: A Selective Data Collection Framework for Accurate and Fair Machine Learning Models. - Anupam Kumar Bairagi, Md. Shirajum Munir, Madyan Alsenwi, Nguyen Hoang Tran, Sultan S. Alshamrani, Mehedi Masud, Zhu Han, Choong Seon Hong:
Coexistence Mechanism between eMBB and uRLLC in 5G Wireless Networks. - Jehanzeb Hameed Chaudhry, Luke N. Olson, Peter Sentz:
A Least-Squares Finite Element Reduced Basis Method. - Andrea Natale, Gabriele Todeschi:
A mixed finite element discretization of dynamical optimal transport. - Ronen Basri, Meirav Galun, Amnon Geifman, David W. Jacobs, Yoni Kasten, Shira Kritchman:
Frequency Bias in Neural Networks for Input of Non-Uniform Density. - Yun Ye, Ganmei You, Jong-Kae Fwu, Xia Zhu, Qing Yang, Yuan Zhu:
Channel Pruning via Optimal Thresholding. - Ronen Tamari, Gabriel Stanovsky, Dafna Shahaf, Reut Tsarfaty:
Ecological Semantics: Programming Environments for Situated Language Understanding. - Chenjie Wang, Bin Luo, Yun Zhang, Qing Zhao, Lu Yin, Wei Wang, Xin Su, Yajun Wang, Chengyuan Li:
DymSLAM: 4D Dynamic Scene Reconstruction Based on Geometrical Motion Segmentation. - Jiyang Xie, Dongliang Chang, Zhanyu Ma, Guoqiang Zhang, Jun Guo:
Channel Attention with Embedding Gaussian Process: A Probabilistic Methodology. - Padraig Davidson, Michael Steininger, Florian Lautenschlager, Konstantin Kobs, Anna Krause, Andreas Hotho:
Anomaly Detection in Beehives using Deep Recurrent Autoencoders. - Nguyen Thanh Son, Pierre-Yves Gousenbourger, Estelle M. Massart, Tatjana Stykel:
Balanced truncation for parametric linear systems using interpolation of Gramians: a comparison of algebraic and geometric approaches. - René van Bevern, Pavel V. Smirnov:
Optimal-size problem kernels for d-Hitting Set in linear time and space. - Chaitanya Patel, Zhouyingcheng Liao, Gerard Pons-Moll:
TailorNet: Predicting Clothing in 3D as a Function of Human Pose, Shape and Garment Style. - Soumya Kanti Mahapatra, K. P. Ashwin, Ashitava Ghosal:
3D printed cable-driven continuum robots with generally routed cables: modeling and experiments. - Toby Thomas, David M. Bossens, Danesh Tarapore:
ASV-Swarm: a high-performance simulator for the dynamics of a swarm of autonomous marine vehicles in waves. - Zhenshan Bing, Claus Meschede, Guang Chen, Alois C. Knoll, Kai Huang:
Indirect and Direct Training of Spiking Neural Networks for End-to-End Control of a Lane-Keeping Vehicle. - Dominique Larchey-Wendling, Yannick Forster:
Hilbert's Tenth Problem in Coq. - Ivan Bliznets, Danil Sagunov:
Maximizing Happiness in Graphs of Bounded Clique-Width. - Jinyu Yang, Weizhi An, Sheng Wang, Xinliang Zhu, Chaochao Yan, Junzhou Huang:
Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation. - Jin-Guo Liu, Taine Zhao:
Differentiate Everything with a Reversible Programming Language. - Songyou Peng, Michael Niemeyer, Lars M. Mescheder, Marc Pollefeys, Andreas Geiger:
Convolutional Occupancy Networks. - Yong Guo, Yongsheng Luo, Zhenhao He, Jin Huang, Jian Chen:
Hierarchical Neural Architecture Search for Single Image Super-Resolution. - Roy Sheffer, Ami Wiesel:
PnP-Net: A hybrid Perspective-n-Point Network. - Alberto Fiori, Christoph Weidenbach:
SCL with Theory Constraints. - Ygor Gallina, Florian Boudin, Béatrice Daille:
Large-Scale Evaluation of Keyphrase Extraction Models. - Laura Barker, Pamela Fleischmann, Katharina Harwardt, Florin Manea, Dirk Nowotka:
Scattered Factor-Universality of Words. - Miles D. Cranmer, Sam Greydanus, Stephan Hoyer, Peter W. Battaglia, David N. Spergel, Shirley Ho:
Lagrangian Neural Networks. - Stefano Dafarra, Giulio Romualdi, Giorgio Metta, Daniele Pucci:
Whole-Body Walking Generation using Contact Parametrization: A Non-Linear Trajectory Optimization Approach. - Yuhong Deng, Naifu Zhang, Di Guo, Huaping Liu, Fuchun Sun, Chen Pang, Jing Pang:
MQA: Answering the Question via Robotic Manipulation. - Viktor Schlegel, Marco Valentino, André Freitas, Goran Nenadic, Riza Batista-Navarro:
A Framework for Evaluation of Machine Reading Comprehension Gold Standards. - Johan Vertens, Jannik Zürn, Wolfram Burgard:
HeatNet: Bridging the Day-Night Domain Gap in Semantic Segmentation with Thermal Images. - Michael Schelling, Pedro Hermosilla, Pere-Pau Vázquez, Timo Ropinski:
Enabling Viewpoint Learning through Dynamic Label Generation. - Fei Shan, Yaozong Gao, Jun Wang, Weiya Shi, Nannan Shi, Miaofei Han, Zhong Xue, Dinggang Shen, Yuxin Shi:
Lung Infection Quantification of COVID-19 in CT Images with Deep Learning. - Martin J. Kraemer, Ulrik Lyngs, Helena Webb, Ivan Flechais:
Further Exploring Communal Technology Use in Smart Homes: Social Expectations. - Rituraj Kaushik, Timothée Anne, Jean-Baptiste Mouret:
Fast Online Adaptation in Robotics through Meta-Learning Embeddings of Simulated Priors. - Rémy Portelas, Cédric Colas, Lilian Weng, Katja Hofmann, Pierre-Yves Oudeyer:
Automatic Curriculum Learning For Deep RL: A Short Survey. - Aline Brito, André C. Hora, Marco Túlio Valente:
Refactoring Graphs: Assessing Refactoring over Time. - Juan-Manuel Pérez-Rúa, Xiatian Zhu, Timothy M. Hospedales, Tao Xiang:
Incremental Few-Shot Object Detection. - Xi Li, Huimin Ma, Sheng Yi, Yanxian Chen:
Realizing Pixel-Level Semantic Learning in Complex Driving Scenes based on Only One Annotated Pixel per Class. - Suat Gumussoy, Wim Michiels:
Continuation Based Computation of Root-Locus for SISO Dead-Time Systems. - Tung D. Nguyen, Kathryn E. Kasmarik, Hussein A. Abbass:
Towards Interpretable Deep Neural Networks: An Exact Transformation to Multi-Class Multivariate Decision Trees. - Qi Han, Kai Zhao, Jun Xu, Ming-Ming Cheng:
Deep Hough Transform for Semantic Line Detection. - Suat Gumussoy, Pascal Gahinet:
Computer Aided Control System Design for Time Delay Systems using MATLAB. - Shen Gao, Xiuying Chen, Chang Liu, Li Liu, Dongyan Zhao, Rui Yan:
Learning to Respond with Stickers: A Framework of Unifying Multi-Modality in Multi-Turn Dialog. - Zhenguo Nie, Tong Lin, Haoliang Jiang, Levent Burak Kara:
TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain. - Hossein Shokri Ghadikolaei, Sindri Magnússon:
Communication-efficient Variance-reduced Stochastic Gradient Descent. - Hirshikesh, Emilio Martínez-Pañeda, Sundararajan Natarajan:
Adaptive phase field modelling of crack propagation in orthotropic functionally graded materials. - Timotheus Kampik, Juan Carlos Nieves:
JS-son - A Lean, Extensible JavaScript Agent Programming Library. - Alexander Freij, Shougang Yuan, Huiyang Zhou, Yan Solihin:
Streamlining Integrity Tree Updates for Secure Persistent Non-Volatile Memory. - Suat Gumussoy, Wim Michiels:
On the sensitivity of the H-infinity norm of systems described by delay differential algebraic equations. - Matthew Gadd, Daniele De Martini, Paul Newman:
Look Around You: Sequence-based Radar Place Recognition with Learned Rotational Invariance. - Pavel Spacek, Jan Komenda, Sébastien Lahaye:
Analysis of P-time Event Graphs in (Max, +) and (Min, +) Algebras. - Alessandro Oltramari, Jonathan Francis, Cory A. Henson, Kaixin Ma, Ruwan Wickramarachchi:
Neuro-symbolic Architectures for Context Understanding. - Tarlan Suleymanov, Matthew Gadd, Lars Kunze, Paul Newman:
LiDAR Lateral Localisation Despite Challenging Occlusion from Traffic. - Danijela Markovic, Alice Mizrahi, Damien Querlioz, Julie Grollier:
Physics for Neuromorphic Computing. - Valeria de Paiva, Apostolos Syropoulos:
Dialectica Fuzzy Petri Nets. - Qian Li, San-Yang Liu, Xin-She Yang:
Neighborhood Information-based Probabilistic Algorithm for Network Disintegration. - Ali Tayyebi, Dominic Groß, Adolfo Anta, Friederich Kupzog, Florian Dörfler:
Frequency Stability of Synchronous Machines and Grid-Forming Power Converters. - Jinshan Pan, Songsheng Cheng, Jiawei Zhang, Jinhui Tang:
Deep Blind Video Super-resolution. - Junhui Yin, Siqing Zhang, Dongliang Chang, Zhanyu Ma, Jun Guo:
Dual-attention Guided Dropblock Module for Weakly Supervised Object Localization. - Seunghwan Lee, Donghyeon Cho, Jiwon Kim, Tae Hyun Kim:
Restore from Restored: Single Image Denoising with Pseudo Clean Image. - Rosana Veroneze, Fernando J. Von Zuben:
New advances in enumerative biclustering algorithms with online partitioning. - Laura Bozzelli, Aniello Murano, Adriano Peron:
Module checking of pushdown multi-agent systems. - Raphaël Berthon, Bastien Maubert, Aniello Murano, Sasha Rubin, Moshe Y. Vardi:
Strategy Logic with Imperfect Information. - Balaji Ganesan, Gayatri Mishra, Srinivas Parkala, Neeraj R. Singh, Hima Patel, Somashekar Naganna:
Link Prediction using Graph Neural Networks for Master Data Management. - Rui Zhang, Quanyan Zhu:
Security of Distributed Machine Learning: A Game-Theoretic Approach to Design Secure DSVM. - Theja Tulabandhula, Deeksha Sinha:
Optimizing Revenue while showing Relevant Assortments at Scale. - Suat Gumussoy, Wim Michiels:
Computing the Pseudospectral Abscissa of Time-Delay Systems. - Gioele Zardini, Nicolas Lanzetti, Andrea Censi, Emilio Frazzoli, Marco Pavone:
On the Co-Design of AV-Enabled Mobility Systems. - Steven Chaplick, Henry Förster, Myroslav Kryven, Alexander Wolff:
Drawing Graphs with Circular Arcs and Right Angle Crossings. - Horia Porav, Valentina-Nicoleta Musat, Tom Bruls, Paul Newman:
Rainy screens: Collecting rainy datasets, indoors. - Davoud Mougouei:
An Integer Programming Model for Embedding Social Values into Software Requirement Selection. - Daniel Duberg, Patric Jensfelt:
UFOMap: An Efficient Probabilistic 3D Mapping Framework That Embraces the Unknown. - Lukasz Debowski:
On a Class of Markov Order Estimators Based on PPM and Other Universal Codes. - Jailton Coelho, Marco Túlio Valente, Luciano Milen, Luciana Lourdes Silva:
Is this GitHub Project Maintained? Measuring the Level of Maintenance Activity of Open-Source Projects. - Mouktar Bello, Wenjuan Yu, Arsenia Chorti, Leila Musavian:
Performance Analysis of NOMA Uplink Networks under Statistical QoS Delay Constraints. - Gleison Brito, Marco Túlio Valente:
REST vs GraphQL: A Controlled Experiment. - Hatoon S. AlSagri, Mourad Ykhlef:
Machine Learning-based Approach for Depression Detection in Twitter Using Content and Activity Features. - Jianwen Huang, Jianjun Wang, Feng Zhang, Wendong Wang:
An Optimal Condition of Robust Low-rank Matrices Recovery. - Pratik Suchde:
A Meshfree Lagrangian Method for Flow on Manifolds. - Mobarakol Islam, Vibashan VS, Hongliang Ren:
AP-MTL: Attention Pruned Multi-task Learning Model for Real-time Instrument Detection and Segmentation in Robot-assisted Surgery. - Najla Akram Al-Saati, Marwa Abd-AlKareem Alabajee:
A Comparative Study on Parameter Estimation in Software Reliability Modeling using Swarm Intelligence. - Peter J. Seiler, Andrew K. Packard, Pascal Gahinet:
An Introduction to Disk Margins. - Beatrice van Amsterdam, Matthew J. Clarkson, Danail Stoyanov:
Multi-Task Recurrent Neural Network for Surgical Gesture Recognition and Progress Prediction. - François Moutier, Arnaud Vandaele, Nicolas Gillis:
Off-diagonal Symmetric Nonnegative Matrix Factorization. - Carl Christian Kjelgaard Mikkelsen, Mirko Myllykoski:
Parallel Robust Computation of Generalized Eigenvectors of Matrix Pencils. - Biao Gao, Anran Xu, Yancheng Pan, Xijun Zhao, Wen Yao, Huijing Zhao:
Off-Road Drivable Area Extraction Using 3D LiDAR Data. - Fabrizio F. Borelli, Gabriela Oliveira Biondi, Flávio E. A. Horita, Carlos Kamienski:
Architectural Software Patterns for the Development of IoT Smart Applications. - Jingtong Li, Jesse Murray, Dorina Ismaili, Konrad Schindler, Cenek Albl:
Reconstruction of 3D flight trajectories from ad-hoc camera networks. - Toby Murray:
An Under-Approximate Relational Logic: Heralding Logics of Insecurity, Incorrect Implementation & More. - Yanou Ramon, David Martens, Theodoros Evgeniou, Stiene Praet:
Metafeatures-based Rule-Extraction for Classifiers on Behavioral and Textual Data. - Benjamin Paassen, Alexander Schulz:
Reservoir memory machines. - Marius Miron, Songül Tolan, Emilia Gómez, Carlos Castillo:
Addressing multiple metrics of group fairness in data-driven decision making. - Rui Tang, Wenlong Song, Xiaoping Guan, Huibin Ge, Deke Kong:
Dam Burst: A region-merging-based image segmentation method. - Franziska Maria Tachtler, Toni Michel, Petr Slovák, Geraldine Fitzpatrick:
Supporting the Supporters of Unaccompanied Migrant Youth: Designing for Social-ecological Resilience. - Michal R. Przybylek:
Beyond sets with atoms: definability in first order logic. - Davoud Mougouei, David M. W. Powers:
A Fuzzy-Based Optimization Method for Integrating Value Dependencies into Software Requirement Selection. - Iñigo Casanueva, Tadas Temcinas, Daniela Gerz, Matthew Henderson, Ivan Vulic:
Efficient Intent Detection with Dual Sentence Encoders. - Johannes Welbl, Pasquale Minervini, Max Bartolo, Pontus Stenetorp, Sebastian Riedel:
Undersensitivity in Neural Reading Comprehension. - Benedek Rozemberczki, Oliver Kiss, Rik Sarkar:
An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs. - Richard Tran, David Patrick, Michael Geyer, Amanda S. Fernandez:
SAD: Saliency-based Defenses Against Adversarial Examples. - Colby R. Banbury, Vijay Janapa Reddi, Max Lam, William Fu, Amin Fazel, Jeremy Holleman, Xinyuan Huang, Robert Hurtado, David Kanter, Anton Lokhmotov, David A. Patterson, Danilo Pau, Jae-sun Seo, Jeff Sieracki, Urmish Thakker, Marian Verhelst, Poonam Yadav:
Benchmarking TinyML Systems: Challenges and Direction. - Nicolò Ruggeri, Caterina De Bacco:
Sampling on networks: estimating spectral centrality measures and their impact in evaluating other relevant network measures. - Dmitry Duplyakin, Alexandru Uta, Aleksander Maricq, Robert Ricci:
In Datacenter Performance, The Only Constant Is Change. - Anuj Sharma, Syed Mohammed Arshad Zaidi:
Optimizations to the Parallel Breath First Search on Distributed Memory. - Markus Bläser, Christian Ikenmeyer, Meena Mahajan, Anurag Pandey, Nitin Saurabh:
Algebraic Branching Programs, Border Complexity, and Tangent Spaces. - Flavio Cirillo, David Gómez, Luis Díez, Ignacio Elicegui Maestro, Thomas Barrie Juel Gilbert, Reza Akhavan:
Smart City IoT Services Creation through Large Scale Collaboration. - Wenguan Wang, Hailong Zhu, Jifeng Dai, Yanwei Pang, Jianbing Shen, Ling Shao:
Hierarchical Human Parsing with Typed Part-Relation Reasoning. - Xueyang Wang, Xiya Zhang, Yinheng Zhu, Yuchen Guo, Xiaoyun Yuan, Liuyu Xiang, Zerun Wang, Guiguang Ding, David J. Brady, Qionghai Dai, Lu Fang:
PANDA: A Gigapixel-level Human-centric Video Dataset. - Yuqian Zhou, David Ren, Neil Emerton, Sehoon Lim, Timothy A. Large:
Image Restoration for Under-Display Camera. - Yihao Zhao, Ruihai Wu, Hao Dong:
Unpaired Image-to-Image Translation using Adversarial Consistency Loss. - Kanata Suzuki, Hiroki Mori, Tetsuya Ogata:
Undefined-behavior guarantee by switching to model-based controller according to the embedded dynamics in Recurrent Neural Network. - Kyriakos Axiotis, Aleksander Madry, Adrian Vladu:
Circulation Control for Faster Minimum Cost Flow in Unit-Capacity Graphs. - Yutaro Shigeto, Yuya Yoshikawa, Jiaqing Lin, Akikazu Takeuchi:
Video Caption Dataset for Describing Human Actions in Japanese. - Ivan Vulic, Simon Baker, Edoardo Maria Ponti, Ulla Petti, Ira Leviant, Kelly Wing, Olga Majewska, Eden Bar, Matt Malone, Thierry Poibeau, Roi Reichart, Anna Korhonen:
Multi-SimLex: A Large-Scale Evaluation of Multilingual and Cross-Lingual Lexical Semantic Similarity. - Philipp Markert, Daniel V. Bailey, Maximilian Golla, Markus Dürmuth, Adam J. Aviv:
This PIN Can Be Easily Guessed. - Daniel Filan, Shlomi Hod, Cody Wild, Andrew Critch, Stuart Russell:
Neural Networks are Surprisingly Modular. - José L. Vázquez, Marius Brühlmeier, Alexander Liniger, Alisa Rupenyan, John Lygeros:
Optimization-Based Hierarchical Motion Planning for Autonomous Racing. - Nicholas Carlini, Matthew Jagielski, Ilya Mironov:
Cryptanalytic Extraction of Neural Network Models. - Thomas Bachlechner, Bodhisattwa Prasad Majumder, Huanru Henry Mao, Garrison W. Cottrell, Julian J. McAuley:
ReZero is All You Need: Fast Convergence at Large Depth. - Xin Liu, Yongbin Sun, Ziwei Liu, Dahua Lin:
Learning Diverse Fashion Collocation by Neural Graph Filtering. - Yatin A. Manerkar, Daniel Lustig, Margaret Martonosi:
RealityCheck: Bringing Modularity, Hierarchy, and Abstraction to Automated Microarchitectural Memory Consistency Verification. - Kun Zhou, Xiaoguang Han, Nianjuan Jiang, Kui Jia, Jiangbo Lu:
HEMlets PoSh: Learning Part-Centric Heatmap Triplets for 3D Human Pose and Shape Estimation. - Raphael Thiago, Renan Souza, Leonardo Azevedo, Eduardo E. M. Soares, Rodrigo C. M. Santos, Wallas Henrique S. dos Santos, Maximilien de Bayser, Marcelo Cardoso, Márcio Ferreira Moreno, Renato Cerqueira:
Managing Data Lineage of O&G Machine Learning Models: The Sweet Spot for Shale Use Case. - Chandra Sharma, George T. Amariucai:
A Practical Approach to Navigating the Tradeoff Between Privacy and Precise Utility. - Shengzheng Kang, Hongtao Wu, Yao Li, Shengdong Yu, Xiaolong Yang, Jiafeng Yao:
A Fractional-Order Normalized Bouc-Wen Model for Piezoelectric Hysteresis Nonlinearity. - Richard Connor Lawson, Linda Wills, Panagiotis Tsiotras:
GPU Parallelization of Policy Iteration RRT#. - Saad Qadeer, Boyce E. Griffith:
The Smooth Forcing Extension Method: A High-Order Technique for Solving Elliptic Equations on Complex Domains. - Navyasri Reddy, Samyak Jain, Pradeep Yarlagadda, Vineet Gandhi:
Tidying Deep Saliency Prediction Architectures. - Kristen Morse, Neha Das, Yixin Lin, Austin S. Wang, Akshara Rai, Franziska Meier:
Learning State-Dependent Losses for Inverse Dynamics Learning. - Shan Lin, Fangbo Qin, Yangming Li, Randall A. Bly, Kris S. Moe, Blake Hannaford:
LC-GAN: Image-to-image Translation Based on Generative Adversarial Network for Endoscopic Images. - Mohit Srinivasan, Amogh Dabholkar, Samuel Coogan, Patricio A. Vela:
Synthesis of Control Barrier Functions Using a Supervised Machine Learning Approach. - Andrea Brunello, Guido Sciavicco, Ionel Eduard Stan:
Interval Temporal Logic Decision Tree Learning. - Zexiang Liu, Liren Yang, Necmiye Ozay:
Scalable Computation of Controlled Invariant Sets for Discrete-Time Linear Systems with Input Delays. - Bohan Wu, Feng Xu, Zhanpeng He, Abhi Gupta, Peter K. Allen:
SQUIRL: Robust and Efficient Learning from Video Demonstration of Long-Horizon Robotic Manipulation Tasks. - Sanmit Narvekar, Bei Peng, Matteo Leonetti, Jivko Sinapov, Matthew E. Taylor, Peter Stone:
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey. - Shubhankar Mohapatra, Nauman Ahmed, Paulo S. C. Alencar:
KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments. - Gunjan Ansari, Chandni Saxena, Tanvir Ahmad, M. N. Doja:
Aspect Term Extraction using Graph-based Semi-Supervised Learning. - Nisha Panwar, Shantanu Sharma, Peeyush Gupta, Dhrubajyoti Ghosh, Sharad Mehrotra, Nalini Venkatasubramanian:
IoT Expunge: Implementing Verifiable Retention of IoT Data. - Oana Cocarascu, Elena Cabrio, Serena Villata, Francesca Toni:
A Dataset Independent Set of Baselines for Relation Prediction in Argument Mining. - Zachary Lindner:
A Comparative Study of Sequence Classification Models for Privacy Policy Coverage Analysis. - Neha Singh, Nirmalya Roy, Aryya Gangopadhyay:
Localized Flood DetectionWith Minimal Labeled Social Media Data Using Transfer Learning. - Prakhar Thapak, Prodip Hore:
Transformer++. - Zahra Shekarchi, Yang Xu:
A Computational Investigation on Denominalization. - Gaurav Pandey, Dinesh Raghu, Sachindra Joshi:
Mask & Focus: Conversation Modelling by Learning Concepts. - Sairamvinay Vijayaraghavan, Ye Wang, Zhiyuan Guo, John Voong, Wenda Xu, Armand Nasseri, Jiaru Cai, Linda Li, Kevin Vuong, Eshan Wadhwa:
Fake News Detection with Different Models. - Jonas Rieger, Lars Koppers, Carsten Jentsch, Jörg Rahnenführer:
Improving Reliability of Latent Dirichlet Allocation by Assessing Its Stability Using Clustering Techniques on Replicated Runs. - Xinyi Zhou, Jindi Wu, Reza Zafarani:
SAFE: Similarity-Aware Multi-Modal Fake News Detection. - Megan Leszczynski, Avner May, Jian Zhang, Sen Wu, Christopher R. Aberger, Christopher Ré:
Understanding the Downstream Instability of Word Embeddings. - Reza Fotohi:
Securing of Unmanned Aerial Systems (UAS) against security threats using human immune system. - Lichao Sun, Kazuma Hashimoto, Wenpeng Yin, Akari Asai, Jia Li, Philip S. Yu, Caiming Xiong:
Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT. - Vukosi Marivate, Tshephisho Sefara, Vongani Chabalala, Keamogetswe Makhaya, Tumisho B. Mokgonyane, Rethabile Mokoena, Abiodun Modupe:
Investigating an approach for low resource language dataset creation, curation and classification: Setswana and Sepedi. - Shi Yu, Yuxin Chen, Hussain Zaidi:
A Financial Service Chatbot based on Deep Bidirectional Transformers. - Vishwas Suryanarayanan, Barun Patra, Pamela Bhattacharya, Chala Fufa, Charles Lee:
ScopeIt: Scoping Task Relevant Sentences in Documents. - Jitin Krishnan, Hemant Purohit, Huzefa Rangwala:
Unsupervised and Interpretable Domain Adaptation to Rapidly Filter Social Web Data for Emergency Services. - Hui Wan:
Multi-task Learning with Multi-head Attention for Multi-choice Reading Comprehension. - Siyi Liu, Ziang Leng, Derry Wijaya:
Learning to mirror speaking styles incrementally. - Tianyi Wang, Yating Zhang, Xiaozhong Liu, Changlong Sun, Qiong Zhang:
Masking Orchestration: Multi-task Pretraining for Multi-role Dialogue Representation Learning. - Fabio Massimo Zanzotto, Viviana Bono, Paola Vocca, Andrea Santilli, Danilo Croce, Giorgio Gambosi, Roberto Basili:
GASP! Generating Abstracts of Scientific Papers from Abstracts of Cited Papers. - Philip T. Kortum, Michael D. Byrne, Julie Whitmore:
Voter Verification of BMD Ballots Is a Two-Part Question: Can They? Mostly, They Can. Do They? Mostly, They Don't. - Yitong Li, Dianqi Li, Sushant Prakash, Peng Wang:
Toward Interpretability of Dual-Encoder Models for Dialogue Response Suggestions. - Zheng Yang, Bin Xu, Jingyao Dai, Tao Gu:
PAS: Prediction-based Adaptive Sleeping for Environment Monitoring in Sensor Networks. - Tao Gu, Hung Keng Pung, Daqing Zhang:
A Hierarchical Semantic Overlay for P2P Search. - Jonathan H. Clark, Eunsol Choi, Michael Collins, Dan Garrette, Tom Kwiatkowski, Vitaly Nikolaev, Jennimaria Palomaki:
TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages. - Matteo Cinelli, Walter Quattrociocchi, Alessandro Galeazzi, Carlo Michele Valensise, Emanuele Brugnoli, Ana Lucía Schmidt, Paola Zola, Fabiana Zollo, Antonio Scala:
The COVID-19 Social Media Infodemic. - Shreyank N. Gowda, Chun Yuan:
Using an ensemble color space model to tackle adversarial examples. - Stephanie Milani, Nicholay Topin, Brandon Houghton, William H. Guss, Sharada P. Mohanty, Keisuke Nakata, Oriol Vinyals, Noboru Sean Kuno:
Retrospective Analysis of the 2019 MineRL Competition on Sample Efficient Reinforcement Learning. - Timothy Duff, Kathlén Kohn, Anton Leykin, Tomás Pajdla:
PL1P - Point-line Minimal Problems under Partial Visibility in Three Views. - Stewart Jamieson, Jonathan P. How, Yogesh A. Girdhar:
Active Reward Learning for Co-Robotic Vision Based Exploration in Bandwidth Limited Environments. - Vít Novotný, Eniafe Festus Ayetiran, Michal Stefánik, Petr Sojka:
Text classification with word embedding regularization and soft similarity measure. - Xiankai Lu, Wenguan Wang, Jianbing Shen, Yu-Wing Tai, David J. Crandall, Steven C. H. Hoi:
Learning Video Object Segmentation from Unlabeled Videos. - Dave Dice, Alex Kogan:
Fissile Locks. - Max Van Kleek:
Super-reflective Data: Speculative Imaginings of a World Where Data Works for People. - Ali Dabouei, Sobhan Soleymani, Fariborz Taherkhani, Nasser M. Nasrabadi:
SuperMix: Supervising the Mixing Data Augmentation. - Ophir Gozes, Maayan Frid-Adar, Hayit Greenspan, Patrick D. Browning, Huangqi Zhang, Wenbin Ji, Adam Bernheim, Eliot L. Siegel:
Rapid AI Development Cycle for the Coronavirus (COVID-19) Pandemic: Initial Results for Automated Detection & Patient Monitoring using Deep Learning CT Image Analysis. - Rukayat Ayomide Erinfolami, Aravind Prakash:
Devil is Virtual: Reversing Virtual Inheritance in C++ Binaries. - Vuong M. Ngo, M. Tahar Kechadi:
Crop Knowledge Discovery Based on Agricultural Big Data Integration. - Sucheol Kim, Junil Choi, Jiho Song:
Beam Designs for Millimeter-Wave Backhaul with Dual-Polarized Uniform Planar Arrays. - Tao Gu, Xiaohang Wang, Hung Keng Pung, Da-Qing Zhang:
An Ontology-based Context Model in Intelligent Environments. - Nitish Mital, Deniz Gündüz, Cong Ling:
Coded Caching in Multi-server System with Random Topology. - Sara Morsy, George Karypis:
Context-aware Non-linear and Neural Attentive Knowledge-based Models for Grade Prediction. - Maria Bortos, Joe Gildea, Abidin Kaya, Adrian Korban, Alexander Tylyshchak:
New Self-Dual Codes of length 68 from a 2 by 2 block matrix Construction and Group Rings. - Tom F. H. Runia, Kirill Gavrilyuk, Cees G. M. Snoek, Arnold W. M. Smeulders:
Cloth in the Wind: A Case Study of Physical Measurement through Simulation. - (Withdrawn) The Framework of Consensus Equilibria for Mining-Pool Games in Blockchain Ecosystems.
- Subhrajit Sinha, Sai Pushpak Nandanoori, Enoch Yeung:
Data Driven Online Learning of Power System Dynamics. - Ali Anaissi, Seid Miad Zandavi:
Multi-Objective Variational Autoencoder: an Application for Smart Infrastructure Maintenance. - Nam Nhat Tran, Hemanshu Roy Pota, Quang Nhat Tran, Xuefei Yin, Jiankun Hu:
Designing False Data Injection attacks penetrating AC-based Bad Data Detection System and FDI Dataset generation. - Gunnar A. Sigurdsson, Jean-Baptiste Alayrac, Aida Nematzadeh, Lucas Smaira, Mateusz Malinowski, João Carreira, Phil Blunsom, Andrew Zisserman:
Visual Grounding in Video for Unsupervised Word Translation. - Sam Maksoud, Kun Zhao, Peter Hobson, Anthony Jennings, Brian C. Lovell:
SOS: Selective Objective Switch for Rapid Immunofluorescence Whole Slide Image Classification. - Pedro Barroso, Mário Pereira, António Ravara:
Animated Logic: Correct Functional Conversion to Conjunctive Normal Form. - Nam Nhat Tran, Hemanshu Roy Pota, Quang Nhat Tran, Jiankun Hu:
Designing constraint-based False Data Injection attacks for unbalanced distribution smart grids. - Wonjik Kim, Masayuki Tanaka, Masatoshi Okutomi, Yoko Sasaki:
Learning-Based Human Segmentation and Velocity Estimation Using Automatic Labeled LiDAR Sequence for Training. - Teruki Hayakawa, Masateru Tsunoda, Koji Toda, Keitaro Nakasai, Kenichi Matsumoto:
A Simulation Study of Bandit Algorithms to Address External Validity of Software Fault Prediction. - Juan Cao, Peng Qi, Qiang Sheng, Tianyun Yang, Junbo Guo, Jintao Li:
Exploring the Role of Visual Content in Fake News Detection. - Songpo Li, Michael Bowman, Xiaoli Zhang:
A General Arbitration Model for Robust Human-Robot Shared Control with Multi-Source Uncertainty Modeling. - Beheshteh T. Rakhshan, Guillaume Rabusseau:
Tensorized Random Projections. - Tianwei Zhang, Huayan Zhang, Yang Li, Yoshihiko Nakamura, Lei Zhang:
FlowFusion: Dynamic Dense RGB-D SLAM Based on Optical Flow. - Ibrahim M. Ahmed, Abeer M. Mahmoud:
Development of an Expert System for Diabetic Type-2 Diet. - Geovane Fedrecheski, Jan M. Rabaey, Laisa C. P. Costa, Pablo C. Calcina-Ccori, William T. Pereira, Marcelo Knörich Zuffo:
Self-Sovereign Identity for IoT environments: A Perspective. - Dimitrios Boursinos, Xenofon D. Koutsoukos:
Trusted Confidence Bounds for Learning Enabled Cyber-Physical Systems. - Xiaoyu Zhang, Senthil K. Chandrasegaran, Kwan-Liu Ma:
ConceptScope: Organizing and Visualizing Knowledge in Documents based on Domain Ontology. - Teruaki Hayashi, Yukio Ohsawa:
Variable-Based Network Analysis of Datasets on Data Exchange Platforms. - Milad Ghaznavi, Ali José Mashtizadeh, Bernard Wong, Raouf Boutaba:
Constellation: A High Performance Geo-Distributed Middlebox Framework. - Sian-Yao Huang, Wei-Ta Chu:
PONAS: Progressive One-shot Neural Architecture Search for Very Efficient Deployment. - Parth Thakkar, Senthil Nathan:
Scaling Hyperledger Fabric Using Pipelined Execution and Sparse Peers. - Huy Nguyen, Nicholas Adrian, Joyce Xin-Yan Lim, Jonathan M. Salfity, William Allen, Quang-Cuong Pham:
Development of a Robotic System for Automated Decaking of 3D-Printed Parts. - Krishan Rana, Vibhavari Dasagi, Ben Talbot, Michael Milford, Niko Sünderhauf:
Multiplicative Controller Fusion: A Hybrid Navigation Strategy For Deployment in Unknown Environments. - Stella Biderman:
Magic: the Gathering is as Hard as Arithmetic. - Tomoya Takahashi, Masahiro Watanabe, Kenjiro Tadakuma, Masashi Konyo, Satoshi Tadokoro:
Retraction Mechanism of Soft Torus Robot with a Hydrostatic Skeleton. - Stefanie Walz, Tobias Gruber, Werner Ritter, Klaus Dietmayer:
Uncertainty depth estimation with gated images for 3D reconstruction. - Sergey P. Shary:
A variability measure for estimates of parameters in interval data fitting. - Daiki Fujikura, Kenjiro Tadakuma, Masahiro Watanabe, Yoshito Okada, Kazunori Ohno, Satoshi Tadokoro:
Hundred Drones Land in a Minute. - Sungha Choi, Joanne Taery Kim, Jaegul Choo:
Cars Can't Fly up in the Sky: Improving Urban-Scene Segmentation via Height-driven Attention Networks. - Venkata Pavan Kumar Miriyala, Kale Rahul Vishwanath, Xuanyao Fong:
SIMBA: A Skyrmionic In-Memory Binary Neural Network Accelerator. - Ajian Liu, Zichang Tan, Xuan Li, Jun Wan, Sergio Escalera, Guodong Guo, Stan Z. Li:
CASIA-SURF CeFA: A Benchmark for Multi-modal Cross-ethnicity Face Anti-spoofing. - Hao Xu, Luqi Wang, Yichen Zhang, Kejie Qiu, Shaojie Shen:
Decentralized Visual-Inertial-UWB Fusion for Relative State Estimation of Aerial Swarm. - Hyeongmin Lee, Taeoh Kim, Hanbin Son, Sangwook Baek, Minsu Cheon, Sangyoun Lee:
Regularized Adaptation for Stable and Efficient Continuous-Level Learning on Image Processing Networks. - Nicolas Heist, Heiko Paulheim:
Entity Extraction from Wikipedia List Pages. - Zhongzhi Yu, Yemin Shi, Tiejun Huang, Yizhou Yu:
Kernel Quantization for Efficient Network Compression. - Jukka Ruohonen, Kalle Hjerppe:
Predicting the Amount of GDPR Fines. - Shir Peleg, Amir Shpilka:
A generalized Sylvester-Gallai type theorem for quadratic polynomials. - Stefan Studer, Thanh Binh Bui, Christian Drescher, Alexander Hanuschkin, Ludwig Winkler, Steven Peters, Klaus-Robert Müller:
Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology. - Xiaozhe Gu, Arvind Easwaran:
Efficient Schedulability Test for Dynamic-Priority Scheduling of Mixed-Criticality Real-Time Systems. - Laura Ruis, Jacob Andreas, Marco Baroni, Diane Bouchacourt, Brenden M. Lake:
A Benchmark for Systematic Generalization in Grounded Language Understanding. - Zhiyuan Fang, Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang:
Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning. - Naeem Paeedeh, Kamaledin Ghiasi-Shirazi:
Improving the Backpropagation Algorithm with Consequentialism Weight Updates over Mini-Batches. - Saravanan Ramanathan, Arvind Easwaran, Hyeonjoong Cho:
Multi-Rate Fluid Scheduling of Mixed-Criticality Systems on Multiprocessors. - Thomas Lartigue, Simona Bottani, Stephanie Baron, Olivier Colliot, Stanley Durrleman, Stéphanie Allassonnière:
Gaussian Graphical Model exploration and selection in high dimension low sample size setting. - Peter beim Graben, Markus Huber, Werner Meyer, Ronald Römer, Constanze Tschöpe, Matthias Wolff:
Vector symbolic architectures for context-free grammars. - Jose H. Blanchet, Renyuan Xu, Zhengyuan Zhou:
Delay-Adaptive Learning in Generalized Linear Contextual Bandits. - Yongho Shin, Kangsan Kim, Seungmin Lee, Hyung-Chan An:
Online Graph Matching Problems with a Worst-Case Reassignment Budget. - Jingru Tan, Changbao Wang, Buyu Li, Quanquan Li, Wanli Ouyang, Changqing Yin, Junjie Yan:
Equalization Loss for Long-Tailed Object Recognition. - Dominique Beaini, Sofiane Achiche, Maxime Raison:
Improving Convolutional Neural Networks Via Conservative Field Regularisation and Integration. - Tara Abrishami, Maria Chudnovsky, Marcin Pilipczuk, Pawel Rzazewski, Paul D. Seymour:
Induced subgraphs of bounded treewidth and the container method. - Steffen Haas, Florian Wilkens, Mathias Fischer:
Scan Correlation - Revealing distributed scan campaigns. - Daniel Lundén, Johannes Borgström, David Broman:
Correctness of Sequential Monte Carlo Inference for Probabilistic Programming Languages. - Nicolas Riesterer, Daniel Brand, Marco Ragni:
Uncovering the Data-Related Limits of Human Reasoning Research: An Analysis based on Recommender Systems. - Longfei Zheng, Chaochao Chen, Yingting Liu, Bingzhe Wu, Xibin Wu, Li Wang, Lei Wang, Jun Zhou, Shuang Yang:
Industrial Scale Privacy Preserving Deep Neural Network. - Yijun Yuan, Jiawei Hou, Andreas Nüchter, Sören Schwertfeger:
Self-supervised Point Set Local Descriptors for Point Cloud Registration. - Jelle Don, Serge Fehr, Christian Majenz:
The Measure-and-Reprogram Technique 2.0: Multi-Round Fiat-Shamir and More. - Mohammad Ashraful Hoque, Ashwin Rao, Sasu Tarkoma:
In Situ Network and Application Performance Measurement on Android Devices and the Imperfections. - Asma Khatun, Sk. Golam Sarowar Hossain:
A Fourier Domain Feature Approach for Human Activity Recognition & Fall Detection. - Shuang Li, Jiaxi Jiang, Philipp Ruppel, Hongzhuo Liang, Xiaojian Ma, Norman Hendrich, Fuchun Sun, Jianwei Zhang:
A Mobile Robot Hand-Arm Teleoperation System by Vision and IMU. - Tarmo Uustalu, Niccolò Veltri, Noam Zeilberger:
The Sequent Calculus of Skew Monoidal Categories. - Sascha Hunold, Bartlomiej Przybylski:
Scheduling.jl - Collaborative and Reproducible Scheduling Research with Julia. - Yiming Li, Changhong Fu, Ziyuan Huang, Yinqiang Zhang, Jia Pan:
Keyfilter-Aware Real-Time UAV Object Tracking. - Sergio Muñoz, Javier Ros, José Luis Escalona:
Estimation of lateral track irregularity through Kalman filtering techniques. - Rafia Alif Bindu, Asif Ahmed Neloy, Sazid Alam, Shahnewaz Siddique:
3-Survivor: A Rough Terrain Negotiable Teleoperated Mobile Rescue Robot with Passive Control Mechanism. - Michael Buchholz, Jan Strohbeck, Anna-Maria Adaktylos, Friedrich Vogl, Gottfried Allmer, Sergio Cabrero Barros, Yassine Lassoued, Markus Wimmer, Birger Hätty, Guillemette Massot, Christophe Ponchel, Maxime Bretin, Vasilis Sourlas, Angelos Amditis:
Enabling automated driving by ICT infrastructure: A reference architecture. - Yu Gao, Xintong Han, Xun Wang, Weilin Huang, Matthew R. Scott:
Channel Interaction Networks for Fine-Grained Image Categorization. - Farah Karim, Maria-Esther Vidal, Sören Auer:
Compacting Frequent Star Patterns in RDF Graphs. - Christian Meske, Konstantin Wilms, Stefan Stieglitz:
Enterprise Social Networks as Digital Infrastructures - Understanding the Utilitarian Value of Social Media at the Workplace. - Dongming Yang, Yuexian Zou, Jian Zhang, Ge Li:
GID-Net: Detecting Human-Object Interaction with Global and Instance Dependency. - Christian Meske, Ireti Amojo:
Ethical Guidelines for the Construction of Digital Nudges. - Sebastian Wallkötter, Silvia Tulli, Ginevra Castellano, Ana Paiva, Mohamed Chetouani:
Explainable Agents Through Social Cues: A Review. - Mehmet Simsek, Henning Meyerhenke:
Combined Centrality Measures for an Improved Characterization of Influence Spreadin Social Networks. - Renato Cruz, Helder Fontes, José Ruela, Manuel Ricardo, Rui Campos:
On the Reproduction of Real Wireless Channel Occupancy in ns-3. - Netalee Efrat, Max Bluvstein, Noa Garnett, Dan Levi, Shaul Oron, Bat El Shlomo:
Semi-Local 3D Lane Detection and Uncertainty Estimation. - Manolis Peponakis, Anna Mastora, Sarantos Kapidakis, Martin Doerr:
Expressiveness and machine processability of Knowledge Organization Systems (KOS): An analysis of concepts and relations. - Elman Mansimov, Gábor Melis, Lei Yu:
Capturing document context inside sentence-level neural machine translation models with self-training. - Leiv Andresen, Adrian Brandemuehl, Alex Hönger, Benson Kuan, Niclas Vödisch, Hermann Blum, Victor Reijgwart, Lukas Bernreiter, Lukas Schaupp, Jen Jen Chung, Mathias Bürki, Martin R. Oswald, Roland Siegwart, Abel Gawel:
Fast and Accurate Mapping for Autonomous Racing. - Alexander Göke, Dániel Marx, Matthias Mnich:
Hitting Long Directed Cycles is Fixed-Parameter Tractable. - Chaehan So:
Human-in-the-Loop Design Cycles - A Process Framework that Integrates Design Sprints, Agile Processes, and Machine Learning with Humans. - Rade Vuckovac:
On Function Description. - Talgat Daulbaev, Alexandr Katrutsa, Larisa Markeeva, Julia Gusak, Andrzej Cichocki, Ivan V. Oseledets:
Interpolated Adjoint Method for Neural ODEs. - Marios A. Fanourakis:
Opportunistic multi-party shuffling for data reporting privacy. - Nadav Shalit, Michael Fire, Eran Ben-Elia:
Imputing Missing Boarding Stations With Machine Learning Methods. - Sujoy Bhore, Jan-Henrik Haunert, Fabian Klute, Guangping Li, Martin Nöllenburg:
Balanced Independent and Dominating Sets on Colored Interval Graphs. - Rentao Gu, Zeyuan Yang, Yuefeng Ji:
Machine Learning for Intelligent Optical Networks: A Comprehensive Survey. - Lucia Cavallaro, Annamaria Ficara, Pasquale De Meo, Giacomo Fiumara, Salvatore Catanese, Ovidiu Bagdasar, Antonio Liotta:
Disrupting Resilient Criminal Networks through Data Analysis: The case of Sicilian Mafia. - Xingyu Zhao, Alec Banks, James Sharp, Valentin Robu, David Flynn, Michael Fisher, Xiaowei Huang:
A Safety Framework for Critical Systems Utilising Deep Neural Networks. - Riaz-ul-haque Mian, Michihiro Shintani, Michiko Inoue:
Cycle-Accurate Evaluation of Software-Hardware Co-Design of Decimal Computation in RISC-V Ecosystem. - Kieran Greer:
How the Brain might use Division. - Sameh Abdulah, Hatem Ltaief, Ying Sun, Marc G. Genton, David E. Keyes:
Geostatistical Modeling and Prediction Using Mixed-Precision Tile Cholesky Factorization. - Ferran Alet, Martin F. Schneider, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Meta-learning curiosity algorithms. - Fan Li, Changhong Fu, Fuling Lin, Yiming Li, Peng Lu:
Training-Set Distillation for Real-Time UAV Object Tracking. - Song Bian, Tianchen Wang, Masayuki Hiromoto, Yiyu Shi, Takashi Sato:
ENSEI: Efficient Secure Inference via Frequency-Domain Homomorphic Convolution for Privacy-Preserving Visual Recognition. - James M. Hickey, Pietro G. Di Stefano, Vlasios Vasileiou:
Fairness by Explicability and Adversarial SHAP Learning. - Steven Chaplick, Henry Förster, Michael Hoffmann, Michael Kaufmann:
Monotone Arc Diagrams with few Biarcs. - Wei Zhou, Yiying Li, Yongxin Yang, Huaimin Wang, Timothy M. Hospedales:
Online Meta-Critic Learning for Off-Policy Actor-Critic Methods. - Yoshiki Higo, Shinpei Hayashi, Shinji Kusumoto:
On Tracking Java Methods with Git Mechanisms. - Steffen Herbold, Alexander Trautsch, Fabian Trautsch:
On the Feasibility of Automated Issue Type Prediction. - Pratik Nayak, Terry Cojean, Hartwig Anzt:
Evaluating Abstract Asynchronous Schwarz solvers. - Ernesto Jiménez-Ruiz, Asan Agibetov, Jiaoyan Chen, Matthias Samwald, Valerie Cross:
Dividing the Ontology Alignment Task with Semantic Embeddings and Logic-based Modules. - José Luis Matez-Bandera, Pablo Ramirez-Espinosa, José David Vega Sánchez, Francisco Javier López-Martínez:
On the Effect of Correlation on the Capacity of Backscatter Communication Systems. - Francesco Conte, Matteo Saviozzi, Samuele Grillo:
An Optimization Problem for Day-Ahead Planning of Electrical Energy Aggregators. - Raul de Araújo Lima, Rômulo César Costa de Sousa, Simone Diniz Junqueira Barbosa, Hélio Côrtes Vieira Lopes:
Brazilian Lyrics-Based Music Genre Classification Using a BLSTM Network. - Anjaneya Teja Sarma Kalvakolanu:
Plant Disease Detection from Images. - Yu-Sheng Lin, Zhe Yu Liu, Yu-An Chen, Yu-Siang Wang, Hsin-Ying Lee, Yi-Rong Chen, Ya-Liang Chang, Winston H. Hsu:
xCos: An Explainable Cosine Metric for Face Verification Task. - Ehsan Kharazmi, Zhongqiang Zhang, George Em Karniadakis:
hp-VPINNs: Variational Physics-Informed Neural Networks With Domain Decomposition. - Miriam Polzer, Sergey Goncharov:
Local Local Reasoning: A BI-Hyperdoctrine for Full Ground Store. - Shreyas Ramakrishna, Charles Hartsell, Abhishek Dubey, Partha Pratim Pal, Gabor Karsai:
A Methodology for Automating Assurance Case Generation. - Adarsh Jagan Sathyamoorthy, Utsav Patel, Tianrui Guan, Dinesh Manocha:
Frozone: Freezing-Free, Pedestrian-Friendly Navigation in Human Crowds.