cs.AI - 人工智能 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.DS - 数据结构与算法 cs.GR - 计算机图形学 cs.HC - 人机接口 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cs.AI]Accelerating Reinforcement Learning for Reaching using Continuous Curriculum Learning
• [cs.AI]I love your chain mail! Making knights smile in a fantasy game world: Open-domain goal-orientated dialogue agents
• [cs.AI]Student/Teacher Advising through Reward Augmentation
• [cs.CL]A Multilingual View of Unsupervised Machine Translation
• [cs.CL]BERT-of-Theseus: Compressing BERT by Progressive Module Replacing
• [cs.CL]Incorporating Visual Semantics into Sentence Representations within a Grounded Space
• [cs.CL]Introducing Aspects of Creativity in Automatic Poetry Generation
• [cs.CL]Multimodal Matching Transformer for Live Commenting
• [cs.CL]Translating Web Search Queries into Natural Language Questions
• [cs.CR]Assuring Automotive Data and Software Integrity Employing Distributed Hash Ta
4000
bles and Blockchain
• [cs.CR]Data-Driven False Data Injection Attacks Against Power Grid: A Random Matrix Approach
• [cs.CR]Protograph-Based Decoding of LDPC Codes with Hamming Weight Amplifiers
• [cs.CR]Succinctly Reconstructed Distributed Signatures and Balanced Byzantine Agreement
• [cs.CV]$M^3$T: Multi-Modal Continuous Valence-Arousal Estimation in the Wild
• [cs.CV]Adaptive Deep Metric Embeddings for Person Re-Identification under Occlusions
• [cs.CV]An Auxiliary Task for Learning Nuclei Segmentation in 3D Microscopy Images
• [cs.CV]Data augmentation with Möbius transformations
• [cs.CV]Deep Robust Multilevel Semantic Cross-Modal Hashing
• [cs.CV]Fine-Grained Fashion Similarity Learning by Attribute-Specific Embedding Network
• [cs.CV]FourierNet: Compact mask representation
6d2
for instance segmentation using differentiable shape decoders
• [cs.CV]How Does Gender Balance In Training Data Affect Face Recognition Accuracy?
• [cs.CV]Image Fine-grained Inpainting
• [cs.CV]Impact of ImageNet Model Selection on Domain Adaptation
• [cs.CV]Input Dropout for Spatially Aligned Modalities
• [cs.CV]Learning Class Regularized Features for Action Recognition
• [cs.CV]Learning Hyperspectral Feature Extraction and Classification with ResNeXt Network
• [cs.CV]Object-Adaptive LSTM Network for Real-time Visual Tracking with Adversarial Data Augmentation
• [cs.CV]On the Robustness of Face Recognition Algorithms Against Attacks and Bias
• [cs.CV]Poisson Kernel Avoiding Self-Smoothing in Graph Convolutional Networks
• [cs.CV]Revisiting Spatial Invariance with Low-Rank Local Connectivity
• [cs.CV]SPN-CNN: Boosting Sensor-Based Source Camera Attribution With Deep Learning
• [cs.CV]SideInfNet: A Deep Neural Network for Semi-Automatic Semantic Segmentation with Side Information
• [cs.CV]Statistical Outlier Identification in Multi-robot Visual SLAM using Expectation Maximization
• [cs.CV]Subspace Capsule Network
• [cs.CV]Switchable Precision Neural Networks
• [cs.CV]Temporal Segmentation of Surgical Sub-tasks through Deep Learning with Multiple Data Sources
• [cs.CV]Visual search over billions of aerial and satellite images
• [cs.CV]iqiyi Submission to ActivityNet Challenge 2019 Kinetics-700 challenge: Hierarchical Group-wise Attention
• [cs.DC]A Comprehensive Feature Comparison Study of Open-Source Container Orchestration Frameworks
• [cs.DC]Breaking Band: A Breakdown of High-performance Communication
• [cs.DC]Deterministic Leader Election in Anonymous Radio Networks
• [cs.DC]Scalable Communication Endpoints for MPI+Threads Applications
• [cs.DC]Sensitivity Analysis in the Dupire Local Volatility Model with Tensorflow
• [cs.DC]Stability and Scalability of Blockchain Systems
• [cs.DL]Discovering Mathematical Objects of Interest — A Study of Mathematical Notations
• [cs.DS]Efficient Algorithms for Generating Provably Near-Optimal Cluster Descriptors for Explainability
• [cs.GR]Audio-Visual-Olfactory Resource Allocation for Tri-modal Virtual Environments
• [cs.HC]Modeling Engagement in Long-Term, In-Home Socially Assistive Robot Interventions for Children with Autism Spectrum Disorders
• [cs.IT]Compressive Massive Access for Internet of Things: Cloud Computing or Fog Computing?
• [cs.IT]Deep HyperNetwork-Based MIMO Detection
• [cs.IT]Jointly Sparse Signal Recovery via Deep Auto-Encoder and Parallel Coordinate Descent Unrolling
• [cs.IT]ML Estimation and MAP Estimation for Device Activities in Grant-Free Random Access with Interference
• [cs.IT]On Sampling Continuous-Time Gaussian Channels
• [cs.IT]On the Estimation of Information Measures of Continuous Distributions
• [cs.IT]Timely Updates By Multiple Sources: The M/M/1 Queue Revisited
• [cs.LG]A deep-learning view of chemical space designed to facilitate drug discovery
• [cs.LG]A learning without forgetting approach to incorporate artifact knowledge in polyp localization tasks
• [cs.LG]A novel initialisation based on hospital-resident assignment for the k-modes algorithm
• [cs.LG]Accelerating Deep Learning Inference via Freezing
• [cs.LG]Achieving the fundamental convergence-communication tradeoff with Differentially Quantized Gradient Descent
• [cs.LG]Activation Density driven Energy-Efficient Pruning in Training
• [cs.LG]Assessing the Adversarial Robustness of Monte Carlo and Distillation Methods for Deep Bayesian Neural Network Classification
• [cs.LG]Automated Lane Change Strategy using Proximal Policy Optimization-based Deep Reinforcement Learning
• [cs.LG]Can’t Boil This Frog: Robustness of Online-Trained Autoencoder-Based Anomaly Detectors to Adversarial Poisoning Attacks
• [cs.LG]Causally Correct Partial Models for Reinforcement Learning
• [cs.LG]Consistency of a Recurrent Language Model With Respect to Incomplete Decoding
• [cs.LG]Context Aware Image Annotation in Active Learning
• [cs.LG]Differentiable Fixed-Point Iteration Layer
• [cs.LG]Discretization and Machine Learning Approximation of BSDEs with a Constraint on the Gains-Process
• [cs.LG]Dynamic Energy Dispatch in Isolated Microgrids Based on Deep Reinforcement Learning
• [cs.LG]DynamicPPL: Stan-like Speed for Dynamic Probabilistic Models
• [cs.LG]Efficient Topological Layer based on Persistent Landscapes
• [cs.LG]Fast Kernel k-means Clustering Using Incomplete Cholesky Factorization
• [cs.LG]Geometric Dataset Distances via Optimal Transport
• [cs.LG]Grammar Filtering For Syntax-Guided Synthesis
• [cs.LG]Inverse Learning of Symmetry Transformations
• [cs.LG]JPLink: On Linking Jobs to Vocational Interest Types
• [cs.LG]Learning Autoencoders with Relational Regularization
• [cs.LG]Learning Implicit Generative Models with Theoretical Guarantees
• [cs.LG]Logistic Regression Regret: What’s the Catch?
• [cs.LG]MDLdroid: a ChainSGD-reduce Approach to Mobile Deep Learning for Personal Mobile Sensing
• [cs.LG]Machine Unlearning: Linear Filtration for Logit-based Classifiers
• [cs.LG]Memory Augmented Generative Adversarial Networks for Anomaly Detection
• [cs.LG]Meta-learning framework with applications to zero-shot time-series forecasting
• [cs.LG]Multi-source Deep Gaussian Process Kernel Learning
• [cs.LG]Multimodal Controller for Generative Models
• [cs.LG]Off-policy Maximum Entropy Reinforcement Learning : Soft Actor-Critic with Advantage Weighted Mixture Policy(SAC-AWMP)
• [cs.LG]Provably efficient reconstruction of policy networks
• [cs.LG]Ready Policy One: World Building Through Active Learning
• [cs.LG]Reward-Free Exploration for Reinforcement Learning
• [cs.LG]Short sighted deep learning
• [cs.LG]Solving high-dimensional eigenvalue problems using deep neural networks: A diffusion Monte Carlo like approach
• [cs.LG]Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks
• [cs.LG]Stable Sparse Subspace Embedding for Dimensionality Reduction
• [cs.LG]Targeted display advertising: the case of preferential attachment
• [cs.LG]Temporal Probability Calibration
• [cs.LG]The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks
• [cs.LG]Translating Diffusion, Wavelets, and Regularisation into Residual Networks
• [cs.LG]Trust Your Model: Iterative Label Improvement and Robust Training by Confidence Based Filtering and Dataset Partitioning
• [cs.LG]Understanding and Optimizing Packed Neural Network Training for Hyper-Parameter Tuning
• [cs.LG]Universal Equivariant Multilayer Perceptrons
• [cs.LG]Unsupervised non-parametric change point detection in quasi-periodic signals
• [cs.LG]Weakly-Supervised Disentanglement Without Compromises
• [cs.MA]Multi Type Mean Field Reinforcement Learning
• [cs.NE]Differential Evolution with Reversible Linear Transformations
• [cs.NE]Dynamic Multi-objective Optimization of the Travelling Thief Problem
• [cs.NI]Delay-Optimal Distributed Edge Computing in Wireless Edge Networks
• [cs.RO]Autonomous Industrial Assembly using Force, Torque, and RGB-D sensing
• [cs.RO]Design of a Fully Actuated Robotic Hand With Multiple Gelsight Tactile Sensors
• [cs.RO]Free Space of Rigid Objects: Caging, Path Non-Existence, and Narrow Passage Detection
• [cs.RO]Sim2Real2Sim: Bridging the Gap Between Simulation and Real-World in Flexible Object Manipulation
• [cs.SD]Robust Multi-channel Speech Recognition using Frequency Aligned Network
• [cs.SI]A Complete Set of Related Git Repositories Identified via Community Detection Approaches Based on Shared Commits
• [cs.SI]Depressed individuals express more distorted thinking on social media
• [cs.SI]Impact of the Interaction Network on the Dynamics of Word-of-Mouth with Information Seeking
• [eess.AS]LEAP System for SRE19 Challenge — Improvements and Error Analysis
• [eess.AS]Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss
• [eess.AS]Unsupervised pretraining transfers well across languages
• [eess.IV]Quantifying the Value of Lateral Views in Deep Learning for Chest X-rays
• [eess.SP]High Temporal Resolution Rainfall Runoff Modelling Using Long-Short-Term-Memory (LSTM) Networks
• [eess.SP]Phase Retrieval for Partially Coherent Observations
• [eess.SP]The Effect of Data Augmentation on Classification of Atrial Fibrillation in Short Single-Lead ECG Signals Using Deep Neural Networks
• [math.OC]Ill-Posedness and Optimization Geometry for Nonlinear Neural Network Training
• [math.OC]Optimization of Structural Similarity in Mathematical Imaging
• [math.PR]Explicit Mean-Square Error Bounds for Monte-Carlo and Linear Stochastic Approximation
• [math.ST]Time-scale synthesis for locally stationary signals
• [physics.comp-ph]Enhancement of shock-capturing methods via machine learning
• [physics.soc-ph]Lightning Network: a second path towards centralisation of the Bitcoin economy
• [physics.soc-ph]On Ridership and Frequency
• [q-bio.NC]Adaptive control for hindlimb locomotion in a simulated mouse through temporal cerebellar learning
• [stat.AP]Meta-Analysis of Generalized Additive Models in Neuroimaging Studies
• [stat.CO]Extended Stochastic Gradient MCMC for Large-Scale Bayesian Variable Selection
• [stat.ME]A Survey on Causal Inference
• [stat.ME]A mathematical framework for raw counts of single-cell RNA-seq data analysis
• [stat.ME]Distribution free testing for linear regression. Extension to general parametric regression
• [stat.ME]Empirical Bayes for Large-scale Randomized Experiments: a Spectral Approach
• [stat.ME]Equivalence relations and $L^p$ distances between time series
• [stat.ME]Estimating Optimal Treatment Rules with an Instrumental Variable: A Semi-Supervised Learning Approach
• [stat.ME]Functional Peaks-over-threshold Analysis
• [stat.ME]Inference of Polygenic Factors Associated with Breast Cancer Gene Interaction Networks from Discrete Data Utilizing Poisson Multivariate Mutual Information
• [stat.ME]Random weighting to approximate posterior inference in LASSO regression
• [stat.ML]Bidimensional linked matrix factorization for pan-omics pan-cancer analysis
• [stat.ML]Constructing a variational family for nonlinear state-space models
• [stat.ML]How to train your neural ODE
• [stat.ML]Interpolation under latent factor regression models
• [stat.ML]Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization
• [stat.ML]Oblivious Data for Fairness with Kernels
• [stat.ML]Sparse and Smooth: improved guarantees for Spectral Clustering in the Dynamic Stochastic Block Model
• [stat.ML]Statistical Inference in Heterogeneous Block Model
• [stat.ML]Subsampling Winner Algorithm for Feature Selection in Large Regression Data
·····································
• [cs.AI]Accelerating Reinforcement Learning for Reaching using Continuous Curriculum Learning
Sha Luo, Hamidreza Kasaei, Lambert Schomaker
http://arxiv.org/abs/2002.02697v1
• [cs.AI]I love your chain mail! Making knights smile in a fantasy game world: Open-domain goal-orientated dialogue agents
Shrimai Prabhumoye, Margaret Li, Jack Urbanek, Emily Dinan, Douwe Kiela, Jason Weston, Arthur Szlam
http://arxiv.org/abs/2002.02878v1
• [cs.AI]Student/Teacher Advising through Reward Augmentation
Cameron Reid
http://arxiv.org/abs/2002.02938v1
• [cs.CL]A Multilingual View of Unsupervised Machine Translation
Xavier Garcia, Pierre Foret, Thibault Sellam, Ankur P. Parikh
http://arxiv.org/abs/2002.02955v1
• [cs.CL]BERT-of-Theseus: Compressing BERT by Progressive Module Replacing
Canwen Xu, Wangchunshu Zhou, Tao Ge, Furu Wei, Ming Zhou
http://arxiv.org/abs/2002.02925v1
• [cs.CL]Incorporating Visual Semantics into Sentence Representations within a Grounded Space
Patrick Bordes, Eloi Zablocki, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari
http://arxiv.org/abs/2002.02734v1
• [cs.CL]Introducing Aspects of Creativity in Automatic Poetry Generation
Brendan Bena, Jugal Kalita
http://arxiv.org/abs/2002.02511v1
• [cs.CL]Multimodal Matching Transformer for Live Commenting
Chaoqun Duan, Lei Cui, Shuming Ma, Furu Wei, Conghui Zhu, Tiejun Zhao
http://arxiv.org/abs/2002.02649v1
• [cs.CL]Translating Web Search Queries into Natural Language Questions
Adarsh Kumar, Sandipan Dandapat, Sushil Chordia
http://arxiv.org/abs/2002.02631v1
• [cs.CR]Assuring Automotive Data and Software Integrity Employing Distributed Hash Ta
4000
bles and Blockchain
Gregory Falco, Joshua E. Siegel
http://arxiv.org/abs/2002.02780v1
• [cs.CR]Data-Driven False Data Injection Attacks Against Power Grid: A Random Matrix Approach
Subhash Lakshminarayana, Abla Kammoun, Merouane Debbah, H. Vincent Poor
http://arxiv.org/abs/2002.02519v1
• [cs.CR]Protograph-Based Decoding of LDPC Codes with Hamming Weight Amplifiers
Hannes Bartz, Emna Ben Yacoub, Lorenza Bertarelli, Gianluigi Liva
http://arxiv.org/abs/2002.02696v1
• [cs.CR]Succinctly Reconstructed Distributed Signatures and Balanced Byzantine Agreement
Elette Boyle, Ran Cohen, Aarushi Goel
http://arxiv.org/abs/2002.02516v1
• [cs.CV]$M^3$T: Multi-Modal Continuous Valence-Arousal Estimation in the Wild
Yuan-Hang Zhang, Rulin Huang, Jiabei Zeng, Shiguang Shan, Xilin Chen
http://arxiv.org/abs/2002.02957v1
• [cs.CV]Adaptive Deep Metric Embeddings for Person Re-Identification under Occlusions
Wanxiang Yang, Yan Yan, Si Chen
http://arxiv.org/abs/2002.02603v1
• [cs.CV]An Auxiliary Task for Learning Nuclei Segmentation in 3D Microscopy Images
Peter Hirsch, Dagmar Kainmueller
http://arxiv.org/abs/2002.02857v1
• [cs.CV]Data augmentation with Möbius transformations
Sharon Zhou, Jiequan Zhang, Hang Jiang, Torbjörn Lundh, Andrew Y. Ng
http://arxiv.org/abs/2002.02917v1
• [cs.CV]Deep Robust Multilevel Semantic Cross-Modal Hashing
Ge Song, Jun Zhao, Xiaoyang Tan
http://arxiv.org/abs/2002.02698v1
• [cs.CV]Fine-Grained Fashion Similarity Learning by Attribute-Specific Embedding Network
Zhe Ma, Jianfeng Dong, Yao Zhang, Zhongzi Long, Yuan He, Hui Xue, Shouling Ji
http://arxiv.org/abs/2002.02814v1
• [cs.CV]FourierNet: Compact mask representation
6d2
for instance segmentation using differentiable shape decoders
Nuri Benbarka, Hamd ul Moqeet Riaz, Andreas Zell
http://arxiv.org/abs/2002.02709v1
• [cs.CV]How Does Gender Balance In Training Data Affect Face Recognition Accuracy?
Vítor Albiero, Kai Zhang, Kevin W. Bowyer
http://arxiv.org/abs/2002.02934v1
• [cs.CV]Image Fine-grained Inpainting
Zheng Hui, Jie Li, Xiumei Wang, Xinbo Gao
http://arxiv.org/abs/2002.02609v1
• [cs.CV]Impact of ImageNet Model Selection on Domain Adaptation
Youshan Zhang, Brian D. Davison
http://arxiv.org/abs/2002.02559v1
• [cs.CV]Input Dropout for Spatially Aligned Modalities
Sébastien de Blois, Mathieu Garon, Christian Gagné, Jean-François Lalonde
http://arxiv.org/abs/2002.02852v1
• [cs.CV]Learning Class Regularized Features for Action Recognition
Alexandros Stergiou, Ronald Poppe, Remco C. Veltkamp
http://arxiv.org/abs/2002.02651v1
• [cs.CV]Learning Hyperspectral Feature Extraction and Classification with ResNeXt Network
Divinah Nyasaka, Jing Wang, Haron Tinega
http://arxiv.org/abs/2002.02585v1
• [cs.CV]Object-Adaptive LSTM Network for Real-time Visual Tracking with Adversarial Data Augmentation
Yihan Du, Yan Yan, Si Chen, Yang Hua
http://arxiv.org/abs/2002.02598v1
• [cs.CV]On the Robustness of Face Recognition Algorithms Against Attacks and Bias
Richa Singh, Akshay Agarwal, Maneet Singh, Shruti Nagpal, Mayank Vatsa
http://arxiv.org/abs/2002.02942v1
• [cs.CV]Poisson Kernel Avoiding Self-Smoothing in Graph Convolutional Networks
Ziqing Yang, Shoudong Han, Jun Zhao
http://arxiv.org/abs/2002.02589v1
• [cs.CV]Revisiting Spatial Invariance with Low-Rank Local Connectivity
Gamaleldin F. Elsayed, Prajit Ramachandran, Jonathon Shlens, Simon Kornblith
http://arxiv.org/abs/2002.02959v1
• [cs.CV]SPN-CNN: Boosting Sensor-Based Source Camera Attribution With Deep Learning
Matthias Kirchner, Cameron Johnson
http://arxiv.org/abs/2002.02927v1
• [cs.CV]SideInfNet: A Deep Neural Network for Semi-Automatic Semantic Segmentation with Side Information
Jing Yu Koh, Duc Thanh Nguyen, Quang-Trung Truong, Sai-Kit Yeung, Alexander Binder
http://arxiv.org/abs/2002.02634v1
• [cs.CV]Statistical Outlier Identification in Multi-robot Visual SLAM using Expectation Maximization
Arman Karimian, Ziqi Yang, Roberto Tron
http://arxiv.org/abs/2002.02638v1
• [cs.CV]Subspace Capsule Network
Marzieh Edraki, Nazanin Rahnavard, Mubarak Shah
http://arxiv.org/abs/2002.02924v1
• [cs.CV]Switchable Precision Neural Networks
Luis Guerra, Bohan Zhuang, Ian Reid, Tom Drummond
http://arxiv.org/abs/2002.02815v1
• [cs.CV]Temporal Segmentation of Surgical Sub-tasks through Deep Learning with Multiple Data Sources
Yidan Qin, Sahba Aghajani Pedram, Seyedshams Feyzabadi, Max Allan, A. Jonathan McLeod, Joel W. Burdick, Mahdi Azizian
http://arxiv.org/abs/2002.02921v1
• [cs.CV]Visual search over billions of aerial and satellite images
Ryan Keisler, Samuel W. Skillman, Sunny Gonnabathula, Justin Poehnelt, Xander Rudelis, Michael S. Warren
http://arxiv.org/abs/2002.02624v1
• [cs.CV]iqiyi Submission to ActivityNet Challenge 2019 Kinetics-700 challenge: Hierarchical Group-wise Attention
Qian Liu, Dongyang Cai, Jie Liu, Nan Ding, Tao Wang
http://arxiv.org/abs/2002.02918v1
• [cs.DC]A Comprehensive Feature Comparison Study of Open-Source Container Orchestration Frameworks
Eddy Truyen, Dimitri Van Landuyt, Davy Preuveneers, Bert Lagaisse, Wouter Joosen
http://arxiv.org/abs/2002.02806v1
• [cs.DC]Breaking Band: A Breakdown of High-performance Communication
Rohit Zambre, Megan Grodowitz, Aparna Chandramowlishwaran, Pavel Shamis
http://arxiv.org/abs/2002.02563v1
• [cs.DC]Deterministic Leader Election in Anonymous Radio Networks
Avery Miller, Andrzej Pelc, Ram Narayan Yadav
http://arxiv.org/abs/2002.02641v1
• [cs.DC]Scalable Communication Endpoints for MPI+Threads Applications
Rohit Zambre, Aparna Chandramowlishwaran, Pavan Balaji
http://arxiv.org/abs/2002.02509v1
• [cs.DC]Sensitivity Analysis in the Dupire Local Volatility Model with Tensorflow
Francois Belletti, Davis King, James Lottes, Yi-Fan Chen, John Anderson
http://arxiv.org/abs/2002.02481v1
• [cs.DC]Stability and Scalability of Blockchain Systems
Aditya Gopalan, Abishek Sankararaman, Anwar Walid, Sriram Vishwanath
http://arxiv.org/abs/2002.02567v1
• [cs.DL]Discovering Mathematical Objects of Interest — A Study of Mathematical Notations
Andre Greiner-Petter, Moritz Schubotz, Fabian Mueller, Corinna Breitinger, Howard S. Cohl, Akiko Aizawa, Bela Gipp
http://arxiv.org/abs/2002.02712v1
• [cs.DS]Efficient Algorithms for Generating Provably Near-Optimal Cluster Descriptors for Explainability
Prathyush Sambaturu, Aparna Gupta, Ian Davidson, S. S. Ravi, Anil Vullikanti, Andrew Warren
http://arxiv.org/abs/2002.02487v1
• [cs.GR]Audio-Visual-Olfactory Resource Allocation for Tri-modal Virtual Environments
Efstratios Doukakis, Kurt Debattista, Thomas Bashford-Rogers, Amar Dhokia, Ali Asadipour, Alan Chalmers, Carlo Harvey
http://arxiv.org/abs/2002.02671v1
• [cs.HC]Modeling Engagement in Long-Term, In-Home Socially Assistive Robot Interventions for Children with Autism Spectrum Disorders
Shomik Jain, Balasubramanian Thiagarajan, Zhonghao Shi, Caitlyn Clabaugh, Maja J. Matarić
http://arxiv.org/abs/2002.02453v1
• [cs.IT]Compressive Massive Access for Internet of Things: Cloud Computing or Fog Computing?
Malong Ke, Zhen Gao, Yongpeng Wu
http://arxiv.org/abs/2002.02617v1
• [cs.IT]Deep HyperNetwork-Based MIMO Detection
Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis
http://arxiv.org/abs/2002.02750v1
• [cs.IT]Jointly Sparse Signal Recovery via Deep Auto-Encoder and Parallel Coordinate Descent Unrolling
Shuaichao Li, Wanqing Zhang, Ying Cui
http://arxiv.org/abs/org/abs/2002.02628v1
• [cs.IT]ML Estimation and MAP Estimation for Device Activities in Grant-Free Random Access with Interference
Dongdong Jiang, Ying Cui
http://arxiv.org/abs/2002.02595v1
• [cs.IT]On Sampling Continuous-Time Gaussian Channels
Guangyue Han, Shlomo Shamai
http://arxiv.org/abs/2002.02716v1
• [cs.IT]On the Estimation of Information Measures of Continuous Distributions
Georg Pichler, Pablo Piantanida, Günther Koliander
http://arxiv.org/abs/2002.02851v1
• [cs.IT]Timely Updates By Multiple Sources: The M/M/1 Queue Revisited
Sanjit K. Kaul, Roy D. Yates
http://arxiv.org/abs/2002.02817v1
• [cs.LG]A deep-learning view of chemical space designed to facilitate drug discovery
Paul Maragakis, Hunter Nisonoff, Brian Cole, David E. Shaw
http://arxiv.org/abs/2002.02948v1
• [cs.LG]A learning without forgetting approach to incorporate artifact knowledge in polyp localization tasks
Roger D. Soberanis-Mukul, Maxime Kayser, Anna-Maria Zvereva, Peter Klare, Nassir Navab, Shadi Albarqouni
http://arxiv.org/abs/2002.02883v1
• [cs.LG]A novel initialisation based on hospital-resident assignment for the k-modes algorithm
Henry Wilde, Vincent Knight, Jonathan Gillard
http://arxiv.org/abs/2002.02701v1
• [cs.LG]Accelerating Deep Learning Inference via Freezing
Adarsh Kumar, Arjun Balasubramanian, Shivaram Venkataraman, Aditya Akella
http://arxiv.org/abs/2002.02645v1
• [cs.LG]Achieving the fundamental convergence-communication tradeoff with Differentially Quantized Gradient Descent
Chung-Yi Lin, Victoria Kostina, Babak Hassibi
http://arxiv.org/abs/2002.02508v1
• [cs.LG]Activation Density driven Energy-Efficient Pruning in Training
Timothy Foldy-Porto, Priyadarshini Panda
http://arxiv.org/abs/2002.02949v1
• [cs.LG]Assessing the Adversarial Robustness of Monte Carlo and Distillation Methods for Deep Bayesian Neural Network Classification
Meet P. Vadera, Satya Narayan Shukla, Brian Jalaian, Benjamin M. Marlin
http://arxiv.org/abs/2002.02842v1
• [cs.LG]Automated Lane Change Strategy using Proximal Policy Optimization-based Deep Reinforcement Learning
Fei Ye, Xuxin Cheng, Pin Wang, Ching-Yao Chan
http://arxiv.org/abs/2002.02667v1
• [cs.LG]Can’t Boil This Frog: Robustness of Online-Trained Autoencoder-Based Anomaly Detectors to Adversarial Poisoning Attacks
Moshe Kravchik, Asaf Shabtai
http://arxiv.org/abs/2002.02741v1
• [cs.LG]Causally Correct Partial Models for Reinforcement Learning
Danilo J. Rezende, Ivo Danihelka, George Papamakarios, Nan Rosemary Ke, Ray Jiang, Theophane Weber, Karol Gregor, Hamza Merzic, Fabio Viola, Jane Wang, Jovana Mitrovic, Frederic Besse, Ioannis Antonoglou, Lars Buesing
http://arxiv.org/abs/2002.02836v1
• [cs.LG]Consistency of a Recurrent Language Model With Respect to Incomplete Decoding
Sean Welleck, Ilia Kulikov, Jaedeok Kim, Richard Yuanzhe Pang, Kyunghyun Cho
http://arxiv.org/abs/2002.02492v1
• [cs.LG]Context Aware Image Annotation in Active Learning
Yingcheng Sun, Kenneth Loparo
http://arxiv.org/abs/2002.02775v1
• [cs.LG]Differentiable Fixed-Point Iteration Layer
Younahan Jeon, Minsik Lee, Jin Young Choi
http://arxiv.org/abs/2002.02868v1
• [cs.LG]Discretization and Machine Learning Approximation of BSDEs with a Constraint on the Gains-Process
Idris Kharroubi, Thomas Lim, Xavier Warin
http://arxiv.org/abs/2002.02675v1
• [cs.LG]Dynamic Energy Dispatch in Isolated Microgrids Based on Deep Reinforcement Learning
Lei Lei, Yue Tan, Glenn Dahlenburg, Wei Xiang, Kan Zheng
http://arxiv.org/abs/2002.02581v1
• [cs.LG]DynamicPPL: Stan-like Speed for Dynamic Probabilistic Models
Mohamed Tarek, Kai Xu, Martin Trapp, Hong Ge, Zoubin Ghahramani
http://arxiv.org/abs/2002.02702v1
• [cs.LG]Efficient Topological Layer based on Persistent Landscapes
Kwangho Kim, Jisu Kim, Joon Sik Kim, Frederic Chazal, Larry Wasserman
http://arxiv.org/abs/2002.02778v1
• [cs.LG]Fast Kernel k-means Clustering Using Incomplete Cholesky Factorization
Li Chen, Shuisheng Zhou, Jiajun Ma
http://arxiv.org/abs/2002.02846v1
• [cs.LG]Geometric Dataset Distances via Optimal Transport
David Alvarez-Melis, Nicolò Fusi
http://arxiv.org/abs/2002.02923v1
• [cs.LG]Grammar Filtering For Syntax-Guided Synthesis
Kairo Morton, William Hallahan, Elven Shum, Ruzica Piskac, Mark Santolucito
http://arxiv.org/abs/2002.02884v1
• [cs.LG]Inverse Learning of Symmetry Transformations
Mario Wieser, Sonali Parbhoo, Aleksander Wieczorek, Volker Roth
http://arxiv.org/abs/2002.02782v1
• [cs.LG]JPLink: On Linking Jobs to Vocational Interest Types
Amila Silva, Pei-Chi Lo, Ee-Peng Lim
http://arxiv.org/abs/2002.02557v1
• [cs.LG]Learning Autoencoders with Relational Regularization
Hongteng Xu, Dixin Luo, Ricardo Henao, Svati Shah, Lawrence Carin
http://arxiv.org/abs/2002.02913v1
• [cs.LG]Learning Implicit Generative Models with Theoretical Guarantees
Yuan Gao, Jian Huang, Yuling Jiao, Jin Liu
http://arxiv.org/abs/2002.02862v1
• [cs.LG]Logistic Regression Regret: What’s the Catch?
Gil I. Shamir
http://arxiv.org/abs/2002.02950v1
• [cs.LG]MDLdroid: a ChainSGD-reduce Approach to Mobile Deep Learning for Personal Mobile Sensing
Yu Zhang, Tao Gu, Xi Zhang
http://arxiv.org/abs/2002.02897v1
• [cs.LG]Machine Unlearning: Linear Filtration for Logit-based Classifiers
Thomas Baumhauer, Pascal Schöttle, Matthias Zeppelzauer
http://arxiv.org/abs/2002.02730v1
• [cs.LG]Memory Augmented Generative Adversarial Networks for Anomaly Detection
Ziyi Yang, Teng Zhang, Iman Soltani Bozchalooi, Eric Darve
http://arxiv.org/abs/2002.02669v1
• [cs.LG]Meta-learning framework with applications to zero-shot time-series forecasting
Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, Yoshua Bengio
http://arxiv.org/abs/2002.02887v1
• [cs.LG]Multi-source Deep Gaussian Process Kernel Learning
Chi-Ken Lu, Patrick Shafto
http://arxiv.org/abs/2002.02826v1
• [cs.LG]Multimodal Controller for Generative Models
Enmao Diao, Jie Ding, Vahid Tarokh
http://arxiv.org/abs/2002.02572v1
• [cs.LG]Off-policy Maximum Entropy Reinforcement Learning : Soft Actor-Critic with Advantage Weighted Mixture Policy(SAC-AWMP)
Zhimin Hou, Kuangen Zhang, Yi Wan, Dongyu Li, Chenglong Fu, Haoyong Yu
http://arxiv.org/abs/2002.02829v1
• [cs.LG]Provably efficient reconstruction of policy networks
Bogdan Mazoure, Thang Doan, Tianyu Li, Vladimir Makarenkov, Joelle Pineau, Doina Precup, Guillaume Rabusseau
http://arxiv.org/abs/2002.02863v1
• [cs.LG]Ready Policy One: World Building Through Active Learning
Philip Ball, Jack Parker-Holder, Aldo Pacchiano, Krzysztof Choromanski, Stephen Roberts
http://arxiv.org/abs/2002.02693v1
• [cs.LG]Reward-Free Exploration for Reinforcement Learning
Chi Jin, Akshay Krishnamurthy, Max Simchowitz, Tiancheng Yu
http://arxiv.org/abs/2002.02794v1
• [cs.LG]Short sighted deep learning
Ellen de Melllo Koch, Anita de Mello Koch, Nicholas Kastanos, Ling Cheng
http://arxiv.org/abs/2002.02664v1
• [cs.LG]Solving high-dimensional eigenvalue problems using deep neural networks: A diffusion Monte Carlo like approach
Jiequn Han, Jianfeng Lu, Mo Zhou
http://arxiv.org/abs/2002.02600v1
• [cs.LG]Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks
Blake Bordelon, Abdulkadir Canatar, Cengiz Pehlevan
http://arxiv.org/abs/2002.02561v1
• [cs.LG]Stable Sparse Subspace Embedding for Dimensionality Reduction
Li Chen, Shuizheng Zhou, Jiajun Ma
http://arxiv.org/abs/2002.02844v1
• [cs.LG]Targeted display advertising: the case of preferential attachment
Saurav Manchanda, Pranjul Yadav, Khoa Doan, S. Sathiya Keerthi
http://arxiv.org/abs/2002.02879v1
• [cs.LG]Temporal Probability Calibration
Tim Leathart, Maksymilian Polaczuk
http://arxiv.org/abs/2002.02644v1
• [cs.LG]The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks
Jakub Swiatkowski, Kevin Roth, Bastiaan S. Veeling, Linh Tran, Joshua V. Dillon, Stephan Mandt, Jasper Snoek, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin
http://arxiv.org/abs/2002.02655v1
• [cs.LG]Translating Diffusion, Wavelets, and Regularisation into Residual Networks
Tobias Alt, Joachim Weickert, Pascal Peter
http://arxiv.org/abs/2002.02753v1
• [cs.LG]Trust Your Model: Iterative Label Improvement and Robust Training by Confidence Based Filtering and Dataset Partitioning
Christian Haase-Schütz, Rainer Stal, Heinz Hertlein, Bernhard Sick
http://arxiv.org/abs/2002.02705v1
• [cs.LG]Understanding and Optimizing Packed Neural Network Training for Hyper-Parameter Tuning
Rui Liu, Sanjan Krishnan, Aaron J. Elmore, Michael J. Franklin
http://arxiv.org/abs/2002.02885v1
• [cs.LG]Universal Equivariant Multilayer Perceptrons
Siamak Ravanbakhsh
http://arxiv.org/abs/2002.02912v1
• [cs.LG]Unsupervised non-parametric change point detection in quasi-periodic signals
Nikolay Shvetsov, Nazar Buzun, Dmitry V. Dylov
http://arxiv.org/abs/2002.02717v1
• [cs.LG]Weakly-Supervised Disentanglement Without Compromises
Francesco Locatello, Ben Poole, Gunnar Rätsch, Bernhard Schölkopf, Olivier Bachem, Michael Tschannen
http://arxiv.org/abs/2002.02886v1
• [cs.MA]Multi Type Mean Field Reinforcement Learning
Sriram Ganapathi Subramanian, Pascal Poupart, Matthew E. Taylor, Nidhi Hegde
http://arxiv.org/abs/2002.02513v1
• [cs.NE]Differential Evolution with Reversible Linear Transformations
Jakub M. Tomczak, Ewelina Weglarz-Tomczak, Agoston E. Eiben
http://arxiv.org/abs/2002.02869v1
• [cs.NE]Dynamic Multi-objective Optimization of the Travelling Thief Problem
Daniel Herring, Michael Kirley, Xin Yao
http://arxiv.org/abs/2002.02636v1
• [cs.NI]Delay-Optimal Distributed Edge Computing in Wireless Edge Networks
Xiaowen Gong
http://arxiv.org/abs/2002.02596v1
• [cs.RO]Autonomous Industrial Assembly using Force, Torque, and RGB-D sensing
James Watson, Austin Miller, Nikolaus Correll
http://arxiv.org/abs/2002.02580v1
• [cs.RO]Design of a Fully Actuated Robotic Hand With Multiple Gelsight Tactile Sensors
Achu Wilson, Shaoxiong Wang, Branden Romero, Edward Adelson
http://arxiv.org/abs/2002.02474v1
• [cs.RO]Free Space of Rigid Objects: Caging, Path Non-Existence, and Narrow Passage Detection
Anastasiia Varava, J. Frederico Carvalho, Danica Kragic, Florian T. Pokorny
http://arxiv.org/abs/2002.02715v1
• [cs.RO]Sim2Real2Sim: Bridging the Gap Between Simulation and Real-World in Flexible Object Manipulation
Peng Chang, Taskin Padir
http://arxiv.org/abs/2002.02538v1
• [cs.SD]Robust Multi-channel Speech Recognition using Frequency Aligned Network
Taejin Park, Kenichi Kumatani, Minhua Wu, Shiva Sundaram
http://arxiv.org/abs/2002.02520v1
• [cs.SI]A Complete Set of Related Git Repositories Identified via Community Detection Approaches Based on Shared Commits
Audris Mockus, Diomidis Spinellis, Zoe Kotti, Gabriel John Dusing
http://arxiv.org/abs/2002.02707v1
• [cs.SI]Depressed individuals express more distorted thinking on social media
Krishna C. Bathina, Marijn ten Thij, Lorenzo Lorenzo-Luaces, Lauren A. Rutter, Johan Bollen
http://arxiv.org/abs/2002.02800v1
• [cs.SI]Impact of the Interaction Network on the Dynamics of Word-of-Mouth with Information Seeking
Samuel Thiriot
http://arxiv.org/abs/2002.02728v1
• [eess.AS]LEAP System for SRE19 Challenge — Improvements and Error Analysis
Shreyas Ramoji, Prashant Krishnan, Bhargavram Mysore, Prachi Singh, Sriram Ganapathy
http://arxiv.org/abs/2002.02735v1
• [eess.AS]Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss
Qian Zhang, Han Lu, Hasim Sak, Anshuman Tripathi, Erik McDermott, Stephen Koo, Shankar Kumar
http://arxiv.org/abs/2002.02562v1
• [eess.AS]Unsupervised pretraining transfers well across languages
Morgane Rivière, Armand Joulin, Pierre-Emmanuel Mazaré, Emmanuel Dupoux
http://arxiv.org/abs/2002.02848v1
• [eess.IV]Quantifying the Value of Lateral Views in Deep Learning for Chest X-rays
Mohammad Hashir, Hadrien Bertrand, Joseph Paul Cohen
http://arxiv.org/abs/2002.02582v1
• [eess.SP]High Temporal Resolution Rainfall Runoff Modelling Using Long-Short-Term-Memory (LSTM) Networks
Wei Li, Amin Kiaghadi, Clint N. Dawson
http://arxiv.org/abs/2002.02568v1
• [eess.SP]Phase Retrieval for Partially Coherent Observations
Jonas Kornprobst, Alexander Paulus, Josef Knapp, Thomas F. Eibert
http://arxiv.org/abs/2002.02939v1
• [eess.SP]The Effect of Data Augmentation on Classification of Atrial Fibrillation in Short Single-Lead ECG Signals Using Deep Neural Networks
Faezeh Nejati Hatamian, Nishant Ravikumar, Sulaiman Vesal, Felix P. Kemeth, Matthias Struck, Andreas Maier
http://arxiv.org/abs/2002.02870v1
• [math.OC]Ill-Posedness and Optimization Geometry for Nonlinear Neural Network Training
Thomas O’Leary-Roseberry, Omar Ghattas
http://arxiv.org/abs/2002.02882v1
• [math.OC]Optimization of Structural Similarity in Mathematical Imaging
D. Otero, D. La Torre, O. Michailovich, E. R. Vrscay
http://arxiv.org/abs/2002.02657v1
• [math.PR]Explicit Mean-Square Error Bounds for Monte-Carlo and Linear Stochastic Approximation
Shuhang Chen, Adithya M. Devraj, Ana Bušić, Sean Meyn
http://arxiv.org/abs/2002.02584v1
• [math.ST]Time-scale synthesis for locally stationary signals
Adrien Meynard, Bruno Torrésani
http://arxiv.org/abs/2002.02684v1
• [physics.comp-ph]Enhancement of shock-capturing methods via machine learning
Ben Stevens, Tim Colonius
http://arxiv.org/abs/2002.02521v1
• [physics.soc-ph]Lightning Network: a second path towards centralisation of the Bitcoin economy
Jian-Hong Lin, Kevin Primicerio, Tiziano Squartini, Christian Decker, Claudio J. Tessone
http://arxiv.org/abs/2002.02819v1
• [physics.soc-ph]On Ridership and Frequency
Simon Berrebi, Taylor Gibbs, Sanskruti Joshi, Kari E Watkins
http://arxiv.org/abs/2002.02493v1
• [q-bio.NC]Adaptive control for hindlimb locomotion in a simulated mouse through temporal cerebellar learning
T. P. Jensen, S. Tata, A. J. Ijspeert, S. Tolu
http://arxiv.org/abs/2002.02807v1
• [stat.AP]Meta-Analysis of Generalized Additive Models in Neuroimaging Studies
Øystein Sørensen, Andreas M Brandmaier, Didac Macia Bros, Klaus Ebmeier, Paolo Ghisletta, Rogier A Kievit, Athanasia M Mowinckel, Kristine B Walhovd, Rene Westerhausen, Anders Fjell
http://arxiv.org/abs/2002.02627v1
• [stat.CO]Extended Stochastic Gradient MCMC for Large-Scale Bayesian Variable Selection
Qifan Song, Yan Sun, Mao Ye, Faming Liang
http://arxiv.org/abs/2002.02919v1
• [stat.ME]A Survey on Causal Inference
Liuyi Yao, Zhixuan Chu, Sheng Li, Yaliang Li, Jing Gao, Aidong Zhang
http://arxiv.org/abs/2002.02770v1
• [stat.ME]A mathematical framework for raw counts of single-cell RNA-seq data analysis
Silvia Giulia Galfre’, Francesco Morandin
http://arxiv.org/abs/2002.02933v1
• [stat.ME]Distribution free testing for linear regression. Extension to general parametric regression
Estate V. Khmaladze
http://arxiv.org/abs/2002.02594v1
• [stat.ME]Empirical Bayes for Large-scale Randomized Experiments: a Spectral Approach
F. Richard Guo, James McQueen, Thomas S. Richardson
http://arxiv.org/abs/2002.02564v1
• [stat.ME]Equivalence relations and $L^p$ distances between time series
Nick James, Max Menzies
http://arxiv.org/abs/2002.02592v1
• [stat.ME]Estimating Optimal Treatment Rules with an Instrumental Variable: A Semi-Supervised Learning Approach
Hongming Pu, Bo Zhang
http://arxiv.org/abs/2002.02579v1
• [stat.ME]Functional Peaks-over-threshold Analysis
Raphaël de Fondeville, Anthony C. Davison
http://arxiv.org/abs/2002.02711v1
• [stat.ME]Inference of Polygenic Factors Associated with Breast Cancer Gene Interaction Networks from Discrete Data Utilizing Poisson Multivariate Mutual Information
Jeremie Fish, Daqing Hou, Jie Sun, Erik Bollt
http://arxiv.org/abs/2002.02477v1
• [stat.ME]Random weighting to approximate posterior inference in LASSO regression
Tun Lee Ng, Michael A. Newton
http://arxiv.org/abs/2002.02629v1
• [stat.ML]Bidimensional linked matrix factorization for pan-omics pan-cancer analysis
Eric F. Lock, Jun Young Park, Katherine A. Hoadley
http://arxiv.org/abs/2002.02601v1
• [stat.ML]Constructing a variational family for nonlinear state-space models
Jarrad Courts, Christopher Renton, Thomas B. Schön, Adrian Wills
http://arxiv.org/abs/2002.02620v1
• [stat.ML]How to train your neural ODE
Chris Finlay, Jörn-Henrik Jacobsen, Levon Nurbekyan, Adam M Oberman
http://arxiv.org/abs/2002.02798v1
• [stat.ML]Interpolation under latent factor regression models
Florentina Bunea, Seth Strimas-Mackey, Marten Wegkamp
http://arxiv.org/abs/2002.02525v1
• [stat.ML]Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization
Lukas P. Fröhlich, Edgar D. Klenske, Julia Vinogradska, Christian Daniel, Melanie N. Zeilinger
http://arxiv.org/abs/2002.02820v1
• [stat.ML]Oblivious Data for Fairness with Kernels
Steffen Grünewälder, Azadeh Khaleghi
http://arxiv.org/abs/2002.02901v1
• [stat.ML]Sparse and Smooth: improved guarantees for Spectral Clustering in the Dynamic Stochastic Block Model
Nicolas Keriven, Samuel Vaiter
http://arxiv.org/abs/2002.02892v1
• [stat.ML]Statistical Inference in Heterogeneous Block Model
Majid Noroozi, Marianna Pensky
http://arxiv.org/abs/2002.02610v1
• [stat.ML]Subsampling Winner Algorithm for Feature Selection in Large Regression Data
Yiying Fan, Jiayang Sun
http://arxiv.org/abs/2002.02903v1
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