cs.AI - 人工智能 cs.CC - 计算复杂度 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.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.GT - 计算机科学与博弈论 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.MS - 数学软件 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.PF - 计算性能 cs.RO - 机器人学 cs.SE - 软件工程 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.NA - 数值分析 math.OC - 优化与控制 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 q-bio.PE - 人口与发展 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cs.AI]A Bayesian Approach to Conversational Recommendation Systems
• [cs.AI]Approximate MMAP by Marginal Search
• [cs.AI]Mech-Elites: Illuminating the Mechanic Space of GVGAI
• [cs.AI]Recursed is not Recursive: A Jarring Result
• [cs.AI]Self-explainability as an alternative to interpretability for judging the trustworthiness of artificial intelligences
• [cs.AI]Service Selection using Predictive Models and Monte-Carlo Tree Search
• [cs.AI]Using Automated Theorem Provers for Mistake Diagnosis in the Didactics of Mathematics
• [cs.CC]Revisiting Fixed Support Wasserstein Barycenter: Computational Hardness and Efficient Algorithms
• [cs.CL]Adjusting Image Attributes of Localized Regions with Low-level Dialogue
• [cs.CL]Constructing a Highlight Classifier with an Attention Based LSTM Neural Network
• [cs.CL]ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems
• [cs.CL]Joint Embedding in Named Entity Linking on Sentence Level
• [cs.CL]Learning to Compare for Better Training and Evaluation of Open Domain Natural Language Generation Models
• [cs.CL]Two Huge Title and Keyword Generation Corpora of Research Articles
• [cs.CL]Utilizing BERT Intermediate Layers for Aspect Based Sentiment Analysis and Natural Language Inference
• [cs.CR]Fridges on the Highway: Road Traffic Poisoning of Navigation Apps
• [cs.CR]On the Effective Capacity of an Underwater Acoustic Channel under Impersonation Attack
• [cs.CR]Wireless Federated Learning with Local Differential Privacy
• [cs.CV]A Visual-inertial Navigation Method for High-Speed Unmanned Aerial Vehicles
• [cs.CV]A Zero-Shot based Fingerprint Presentation Attack Detection System
• [cs.CV]AlignNet: A Unifying Approach to Audio-Visual Alignment
• [cs.CV]Analysis Of Multi Field Of View Cnn And Attention Cnn On H&E Stained Whole-slide Images On Hepatocellular Carcinoma
• [cs.CV]Bi-Directional Generation for Unsupervised Domain Adaptation
• [cs.CV]Component Analysis for Visual Question Answering Architectures
• [cs.CV]Deep-HR: Fast Heart Rate Estimation from Face Video Under Realistic Conditions
• [cs.CV]Detect and Correct Bias in Multi-Site Neuroimaging Datasets
• [cs.CV]Efficient Training of Deep Convolutional Neural Networks by Augmentation in Embedding Space
• [cs.CV]End-to-End Face Parsing via Interlinked Convolutional Neural Networks
• [cs.CV]Finding novelty with uncertainty
• [cs.CV]Hi-Net: Hybrid-fusion Network for Multi-modal MR Image Synthesis
• [cs.CV]Hierarchical Auto-Regressive Model for Image Compression Incorporating Object Saliency and a Deep Perceptual Loss
• [cs.CV]Improving Place Recognition Using Dynamic Object Detection
• [cs.CV]Intra-Camera Supervised Person Re-Identification
• [cs.CV]Learning light field synthesis with Multi-Plane Images: scene encoding as a recurrent segmentation task
• [cs.CV]Learning spatio-temporal representations with temporal squeeze pooling
• [cs.CV]Learning to Incorporate Structure Knowledge for Image Inpainting
• [cs.CV]MFFW: A new dataset for multi-focus image fusion
• [cs.CV]Object Detection as a Positive-Unlabeled Problem
• [cs.CV]Progressive Object Transfer Detection
• [cs.CV]Real-Time Semantic Background Subtraction
• [cs.CV]Rembrandts and Robots: Using Neural Networks to Explore Authorship in Painting
• [cs.CV]Towards Precise Intra-camera Supervised Person Re-identification
• [cs.CV]Uniform Interpolation Constrained Geodesic Learning on Data Manifold
• [cs.CY]Ask the Experts: What Should Be on an IoT Privacy and Security Label?
• [cs.DC]CROFT: A scalable three-dimensional parallel Fast Fourier Transform (FFT) implementation for High Performance Clusters
• [cs.DC]Energy Efficient Algorithms based on VM Consolidation for Cloud Computing: Comparisons and Evaluations
• [cs.DC]Parallel Direct Domain Decomposition Methods (D3M) for Finite Elements
• [cs.DC]Towards Federated Learning: Robustness Analytics to Data Heterogeneity
• [cs.DS]A polynomial time parallel algorithm for graph isomorphism using a quasipolynomial number of processors
• [cs.DS]Batch-dynamic Algorithms via Parallel Change Propagation and Applications to Dynamic Trees
• [cs.DS]List-Decodable Subspace Recovery via Sum-of-Squares
• [cs.DS]Uniform Linked Lists Contraction
• [cs.GT]Fast Complete Algorithm for Multiplayer Nash Equilibrium
• [cs.GT]Public Bayesian Persuasion: Being Almost Optimal and Almost Persuasive
• [cs.HC]Capturing the Practices, Challenges, and Needs of Transportation Decision-Makers
• [cs.IT]Compressed Coding, AMP Based Decoding and Analog Spatial Coupling
• [cs.IT]Energy Efficiency Optimization for Downlink Massive MIMO With Statistical CSIT
• [cs.IT]Fundamental Limits of Biometric Identification Systems with Strong Secrecy
• [cs.IT]Generalized Bayesian Cramér-Rao Inequality via Information Geometry of Relative $α$-Entropy
• [cs.IT]Information Freshness for Timely Detection of Status Changes
• [cs.IT]Performance Analysis of Reversible Binding Receptor Based Decode-and-Forward Relay in Molecular Communication Systems
• [cs.IT]Power Scaling Laws and Near-Field Behaviors of Massive MIMO and Intelligent Reflecting Surfaces
• [cs.IT]Solving Some Affine Equations over Finite Fields
• [cs.IT]Towards Reliable UAV Swarm Communication in D2D-Enhanced Cellular Network
• [cs.IT]Vision, Requirements, and Technology Trend of 6G: How to Tackle the Challenges of System Coverage, Capacity,User Data-Rate and Movement Speed
• [cs.LG]A General Framework to Analyze Stochastic Linear Bandit
• [cs.LG]A Non-Intrusive Correction Algorithm for Classification Problems with Corrupted Data
• [cs.LG]A Random-Feature Based Newton Method for Empirical Risk Minimization in Reproducing Kernel Hilbert Space
• [cs.LG]A Simple General Approach to Balance Task Difficulty in Multi-Task Learning
• [cs.LG]Adversarial Robustness for Code
• [cs.LG]Beyond UCB: Optimal and Efficient Contextual Bandits with Regression Oracles
• [cs.LG]Capsules with Inverted Dot-Product Attention Routing
• [cs.LG]Collaborative Inference for Efficient Remote Monitoring
• [cs.LG]Compressive Learning of Generative Networks
• [cs.LG]Convex Density Constraints for Computing Plausible Counterfactual Explanations
• [cs.LG]Debugging Machine Learning Pipelines
• [cs.LG]Deep Multi-Task Augmented Feature Learning via Hierarchical Graph Neural Network
• [cs.LG]Deep Multi-Task Learning via Generalized Tensor Trace Norm
• [cs.LG]Deep Transfer Learning for Physiological Signals
• [cs.LG]Differentiable Graph Module (DGM) Graph Convolutional Networks
• [cs.LG]Differentiating the Black-Box: Optimization with Local Generative Surrogates
• [cs.LG]Distribution-Agnostic Model-Agnostic Meta-Learning
• [cs.LG]Efficient Policy Learning from Surrogate-Loss Classification Reductions
• [cs.LG]Efficient Structure-preserving Support Tensor Train Machine
• [cs.LG]Efficient active learning of sparse halfspaces with arbitrary bounded noise
• [cs.LG]Eliminating Search Intent Bias in Learning to Rank
• [cs.LG]Ensemble of Sparse Gaussian Process Experts for Implicit Surface Mapping with Streaming Data
• [cs.LG]Fast Geometric Projections for Local Robustness Certification
• [cs.LG]Federated Clustering via Matrix Factorization Models: From Model Averaging to Gradient Sharing
• [cs.LG]Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models
• [cs.LG]IPBoost — Non-Convex Boosting via Integer Programming
• [cs.LG]Improving Molecular Design by Stochastic Iterative Target Augmentation
• [cs.LG]Invariant Risk Minimization Games
• [cs.LG]LaProp: a Better Way to Combine Momentum with Adaptive Gradient
• [cs.LG]Learnable Bernoulli Dropout for Bayesian Deep Learning
• [cs.LG]Learning Flat Latent Manifolds with VAEs
• [cs.LG]Lookahead: a Far-Sighted Alternative of Magnitude-based Pruning
• [cs.LG]Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence
• [cs.LG]More Data Can Expand the Generalization Gap Between Adversarially Robust and Standard Models
• [cs.LG]On Layer Normalization in the Transformer Architecture
• [cs.LG]On the Value of Target Data in Transfer Learning
• [cs.LG]Online Learning of the Kalman Filter with Logarithmic Regret
• [cs.LG]Online Learning with Imperfect Hints
• [cs.LG]PCNN: Pattern-based Fine-Grained Regular Pruning towards Optimizing CNN Accelerators
• [cs.LG]Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies
• [cs.LG]Patternless Adversarial Attacks on Video Recognition Networks
• [cs.LG]Provably Convergent Policy Gradient Methods for Model-Agnostic Meta-Reinforcement Learning
• [cs.LG]Regret Bounds for Discounted MDPs
• [cs.LG]Reinforcement Learning Enhanced Quantum-inspired Algorithm for Combinatorial Optimization
• [cs.LG]Reward-rational (implicit) choice: A unifying formalism for reward learning
• [cs.LG]Robustness of Bayesian Neural Networks to Gradient-Based Attacks
• [cs.LG]Salvaging Federated Learning by Local Adaptation
• [cs.LG]Superbloom: Bloom filter meets Transformer
• [cs.LG]Task-Aware Variational Adversarial Active Learning
• [cs.LG]Think Global, Act Local: Relating DNN generalisation and node-level SNR
• [cs.LG]To Split or Not to Split: The Impact of Disparate Treatment in Classification
• [cs.LG]Topologically Densified Distributions
• [cs.LG]Understanding Global Loss Landscape of One-hidden-layer ReLU Neural Networks
• [cs.LG]Unique Properties of Wide Minima in Deep Networks
• [cs.LG]dtControl: Decision Tree Learning Algorithms for Controller Representation
• [cs.LG]fastai: A Layered API for Deep Learning
• [cs.LG]fastai: A Layered API for Deep Learning
• [cs.MA]Learning Graph Influence from Social Interactions
• [cs.MS]Task-based, GPU-accelerated and Robust Library for Solving Dense Nonsymmetric Eigenvalue Problems
• [cs.NE]Neuroevolution of Neural Network Architectures Using CoDeepNEAT and Keras
• [cs.NE]Synaptic Integration of Spatiotemporal Features with a Dynamic Neuromorphic Processor
• [cs.NI]Characterizing network paths in and out of the clouds
• [cs.PF]Eigenvector Component Calculation Speedup over NumPy for High Performance Computing
• [cs.PF]Understanding HPC Benchmark Performance on Intel Broadwell and Cascade Lake Processors
• [cs.RO]A Single RGB Camera Based Gait Analysis with a Mobile Tele-Robot for Healthcare
• [cs.RO]Can I Trust You? A User Study of Robot Mediation of a Support Group
• [cs.RO]Computing the racing line using Bayesian optimization
• [cs.RO]Dynamically Reconfigurable Discrete Distributed Stiffness for Inflated Beam Robots
• [cs.RO]Fast Generation of High Fidelity RGB-D Images by Deep-Learning with Adaptive Convolution
• [cs.RO]Fast Planning Over Roadmaps via Selective Densification
• [cs.RO]Force-Sensor-Less Bilateral Teleoperation Control of Dissimilar Master-Slave System with Arbitrary Scaling
• [cs.RO]GRASPA 1.0: GRASPA is a Robot Arm graSping Performance benchmArk
• [cs.RO]On Rearrangement of Items Stored in Stacks
• [cs.RO]Recreating Bat Behavior on Quad-rotor UAVs-A Simulation Approach
• [cs.RO]Robust Vision-based Obstacle Avoidance for Micro Aerial Vehicles in Dynamic Environments
• [cs.SE]DeepMutation: A Neural Mutation Tool
• [cs.SI]Analyzing, Exploring, and Visualizing Complex Networks via Hypergraphs using SimpleHypergraphs.jl
• [cs.SI]Trust dynamics and user attitudes on recommendation errors: preliminary results
• [eess.AS]Active Learning for Sound Event Detection
• [eess.AS]Attentional Speech Recognition Models Misbehave on Out-of-domain Utterances
• [eess.AS]Phoneme Boundary Detection using Learnable Segmental Features
• [eess.AS]x-vectors meet emotions: A study on dependencies between emotion and speaker recognition
• [eess.IV]From IC Layout to Die Photo: A CNN-Based Data-Driven Approach
• [eess.IV]Machine-Learning-Based Diagnostics of EEG Pathology
• [eess.IV]Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes
• [eess.SP]Weighted Sum-Rate Maximization for Multi-IRS Aided Cooperative Transmission
• [math.NA]Distributed and Adaptive Fast Multipole Method In Three Dimensions
• [math.OC]Branch-and-Bound Method for Just-in-Time Optimization of Radar Search Patterns
• [math.ST]Asymptotics for M-type smoothing splines with non-smooth objective functions
• [math.ST]Interpolation problem for periodically correlated stochastic sequences with missing observations
• [physics.comp-ph]Targeted free energy estimation via learned mappings
• [physics.soc-ph]A novel route to cyclic dominance in voluntary social dilemmas
• [physics.soc-ph]Complex contagion features without social reinforcement in a model of social information flow
• [q-bio.NC]The Unreasonable Effectiveness of Deep Learning in Artificial Intelligence
• [q-bio.PE]Predictions of 2019-nCoV Transmission Ending via Comprehensive Methods
• [stat.AP]A powerful MAF-neutral allele-based test for case-control association studies
• [stat.AP]Forecast of the evolution of the contagious disease caused by novel coronavirus (2019-nCoV) in China
• [stat.AP]Mendelian Randomization with Incomplete Exposure Data: a Bayesian Approach
• [stat.ME]A Method Expanding 2 by 2 Contingency Table by Obtaining Tendencies of Boolean Operators: Boolean Monte Carlo Method
• [stat.ME]A regression-based method for detecting publication bias in multivariate meta-analysis
• [stat.ME]Bayesian Nonparametric Cost-Effectiveness Analyses: Causal Estimation and Adaptive Subgroup Discovery
• [stat.ME]Computationally efficient univariate filtering for massive data
• [stat.ME]M-estimators of scatter with eigenvalue shrinkage
• [stat.ME]Selecting time-series hyperparameters with the artificial jackknife
• [stat.ME]The $α$-$k$-$NN$ regression for compositional data
• [stat.ML]Development of modeling and control strategies for an approximated Gaussian process
• [stat.ML]Improved Consistency Regularization for GANs
• [stat.ML]Large Scale Tensor Regression using Kernels and Variational Inference
• [stat.ML]Regret Bounds for Noise-Free Bayesian Optimization
• [stat.ML]Sparse Recovery With Non-Linear Fourier Features
• [stat.ML]Structure-Property Maps with Kernel Principal Covariates Regression
• [stat.ML]Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent
• [stat.ML]Weighted Empirical Risk Minimization: Sample Selection Bias Correction based on Importance Sampling
·····································
• [cs.AI]A Bayesian Approach to Conversational Recommendation Systems
Francesca Mangili, Denis Broggini, Alessandro Antonucci, Marco Alberti, Lorenzo Cimasoni
http://arxiv.org/abs/2002.05063v1
• [cs.AI]Approximate MMAP by Marginal Search
Alessandro Antonucci, Thomas Tiotto
http://arxiv.org/abs/2002.04827v1
• [cs.AI]Mech-Elites: Illuminating the Mechanic Space of GVGAI
Megan Charity, Michael Cerny Green, Ahmed Khalifa, Julian Togelius
http://arxiv.org/abs/2002.04733v1
• [cs.AI]Recursed is not Recursive: A Jarring Result
Erik Demaine, Justin Kopinsky, Jayson Lynch
http://arxiv.org/abs/2002.05131v1
• [cs.AI]Self-explainability as an alternative to interpretability for judging the trustworthiness of artificial intelligences
Daniel C. Elton
http://arxiv.org/abs/2002.05149v1
• [cs.AI]Service Selection using Predictive Models and Monte-Carlo Tree Search
Cliff Laschet, Jorn op den Buijs, Mark H. M. Winands, Steffen Pauws
http://arxiv.org/abs/2002.04852v1
• [cs.AI]Using Automated Theorem Provers for Mistake Diagnosis in the Didactics of Mathematics
Merlin Carl
http://arxiv.org/abs/2002.05083v1
• [cs.CC]Revisiting Fixed Support Wasserstein Barycenter: Computational Hardness and Efficient Algorithms
Tianyi Lin, Nhat Ho, Xi Chen, Marco Cuturi, Michael I. Jordan
http://arxiv.org/abs/2002.04783v1
• [cs.CL]Adjusting Image Attributes of Localized Regions with Low-level Dialogue
Tzu-Hsiang Lin, Alexander Rudnicky, Trung Bui, Doo Soon Kim, Jean Oh
http://arxiv.org/abs/2002.04678v1
• [cs.CL]Constructing a Highlight Classifier with an Attention Based LSTM Neural Network
Michael Kuehne, Marius Radu
http://arxiv.org/abs/2002.04608v1
• [cs.CL]ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems
Qi Zhu, Zheng Zhang, Yan Fang, Xiang Li, Ryuichi Takanobu, Jinchao Li, Baolin Peng, Jianfeng Gao, Xiaoyan Zhu, Minlie Huang
http://arxiv.org/abs/2002.04793v1
• [cs.CL]Joint Embedding in Named Entity Linking on Sentence Level
Wei Shi, Siyuan Zhang, Zhiwei Zhang, Hong Cheng, Jeffrey Xu Yu
http://arxiv.org/abs/2002.04936v1
• [cs.CL]Learning to Compare for Better Training and Evaluation of Open Domain Natural Language Generation Models
Wangchunshu Zhou, Ke Xu
http://arxiv.org/abs/2002.05058v1
• [cs.CL]Two Huge Title and Keyword Generation Corpora of Research Articles
Erion Çano, Ondřej Bojar
http://arxiv.org/abs/2002.04689v1
• [cs.CL]Utilizing BERT Intermediate Layers for Aspect Based Sentiment Analysis and Natural Language Inference
Youwei Song, Jiahai Wang, Zhiwei Liang, Zhiyue Liu, Tao Jiang
http://arxiv.org/abs/2002.04815v1
• [cs.CR]Fridges on the Highway: Road Traffic Poisoning of Navigation Apps
Simone Raponi, Savio Sciancalepore, Gabriele Oligeri, Roberto Di Pietro
http://arxiv.org/abs/2002.05051v1
• [cs.CR]On the Effective Capacity of an Underwater Acoustic Channel under Impersonation Attack
Waqas Aman, Zeeshan Haider, S. Waqas H. Shah, M. Mahboob Ur Rahman, Octavia A. Dobre
http://arxiv.org/abs/2002.05093v1
• [cs.CR]Wireless Federated Learning with Local Differential Privacy
Mohamed Seif, Ravi Tandon, Ming Li
http://arxiv.org/abs/2002.05151v1
• [cs.CV]A Visual-inertial Navigation Method for High-Speed Unmanned Aerial Vehicles
Xin-long Luo, Jia-hui Lv, Geng Sun
http://arxiv.org/abs/2002.04791v1
• [cs.CV]A Zero-Shot based Fingerprint Presentation Attack Detection System
Haozhe Liu, Wentian Zhang, Guojie Liu, Feng Liu
http://arxiv.org/abs/2002.04908v1
• [cs.CV]AlignNet: A Unifying Approach to Audio-Visual Alignment
Jianren Wang, Zhaoyuan Fang, Hang Zhao
http://arxiv.org/abs/2002.05070v1
• [cs.CV]Analysis Of Multi Field Of View Cnn And Attention Cnn On H&E Stained Whole-slide Images On Hepatocellular Carcinoma
Mehmet Burak Sayıcı, Rikiya Yamashita, Jeanne Shen
http://arxiv.org/abs/2002.04836v1
• [cs.CV]Bi-Directional Generation for Unsupervised Domain Adaptation
Guanglei Yang, Haifeng Xia, Mingli Ding, Zhengming Ding
http://arxiv.org/abs/2002.04869v1
• [cs.CV]Component Analysis for Visual Question Answering Architectures
Camila Kolling, Jônatas Wehrmann, Rodrigo C. Barros
http://arxiv.org/abs/2002.05104v1
• [cs.CV]Deep-HR: Fast Heart Rate Estimation from Face Video Under Realistic Conditions
Mohammad Sabokrou, Masoud Pourreza, Xiaobai Li, Mahmood Fathy, Guoying Zhao
http://arxiv.org/abs/2002.04821v1
• [cs.CV]Detect and Correct Bias in Multi-Site Neuroimaging Datasets
Christian Wachinger, Anna Rieckmann, Sebastian Pölsterl
http://arxiv.org/abs/2002.05049v1
• [cs.CV]Efficient Training of Deep Convolutional Neural Networks by Augmentation in Embedding Space
Mohammad Saeed Abrishami, Amir Erfan Eshratifar, David Eigen, Yanzhi Wang, Shahin Nazarian, Massoud Pedram
http://arxiv.org/abs/2002.04776v1
• [cs.CV]End-to-End Face Parsing via Interlinked Convolutional Neural Networks
Zi Yin, Valentin Yiu, Xiaolin Hu, Liang Tang
http://arxiv.org/abs/2002.04831v1
• [cs.CV]Finding novelty with uncertainty
Jacob C. Reinhold, Yufan He, Shizhong Han, Yunqiang Chen, Dashan Gao, Junghoon Lee, Jerry L. Prince, Aaron Carass
http://arxiv.org/abs/2002.04626v1
• [cs.CV]Hi-Net: Hybrid-fusion Network for Multi-modal MR Image Synthesis
Tao Zhou, Huazhu Fu, Geng Chen, Jianbing Shen, Ling Shao
http://arxiv.org/abs/2002.05000v1
• [cs.CV]Hierarchical Auto-Regressive Model for Image Compression Incorporating Object Saliency and a Deep Perceptual Loss
Yash Patel, Srikar Appalaraju, R. Manmatha
http://arxiv.org/abs/2002.04988v1
• [cs.CV]Improving Place Recognition Using Dynamic Object Detection
Juan Pablo Munoz, Scott Dexter
http://arxiv.org/abs/2002.04698v1
• [cs.CV]Intra-Camera Supervised Person Re-Identification
Xiangping Zhu, Xiatian Zhu, Minxian Li, Pietro Morerio, Vittorio Murino, Shaogang Gong
http://arxiv.org/abs/2002.05046v1
• [cs.CV]Learning light field synthesis with Multi-Plane Images: scene encoding as a recurrent segmentation task
Tomas Volker, Guillaume Boisson, Bertrand Chupeau
http://arxiv.org/abs/2002.05028v1
• [cs.CV]Learning spatio-temporal representations with temporal squeeze pooling
Guoxi Huang, Adrian G. Bors
http://arxiv.org/abs/2002.04685v1
• [cs.CV]Learning to Incorporate Structure Knowledge for Image Inpainting
Jie Yang, Zhiquan Qi, Yong Shi
http://arxiv.org/abs/2002.04170v2
• [cs.CV]MFFW: A new dataset for multi-focus image fusion
Shuang Xu, Xiaoli Wei, Chunxia Zhang, Junmin Liu, Jiangshe Zhang
http://arxiv.org/abs/2002.04780v1
• [cs.CV]Object Detection as a Positive-Unlabeled Problem
Yuewei Yang, Kevin J Liang, Lawrence Carin
http://arxiv.org/abs/2002.04672v1
• [cs.CV]Progressive Object Transfer Detection
Hao Chen, Yali Wang, Guoyou Wang, Xiang Bai, Yu Qiao
http://arxiv.org/abs/2002.04741v1
• [cs.CV]Real-Time Semantic Background Subtraction
Anthony Cioppa, Marc Van Droogenbroeck, Marc Braham
http://arxiv.org/abs/2002.04993v1
• [cs.CV]Rembrandts and Robots: Using Neural Networks to Explore Authorship in Painting
Steven J. Frank, Andrea M. Frank
http://arxiv.org/abs/2002.05107v1
• [cs.CV]Towards Precise Intra-camera Supervised Person Re-identification
Menglin Wang, Baisheng Lai, Haokun Chen, Jianqiang Huang, Xiaojin Gong, Xian-Sheng Hua
http://arxiv.org/abs/2002.04932v1
• [cs.CV]Uniform Interpolation Constrained Geodesic Learning on Data Manifold
Cong Geng, Jia Wang, Li Chen, Wenbo Bao, Chu Chu, Zhiyong Gao
http://arxiv.org/abs/2002.04829v1
• [cs.CY]Ask the Experts: What Should Be on an IoT Privacy and Security Label?
Pardis Emami-Naeini, Yuvraj Agarwal, Lorrie Faith Cranor, Hanan Hibshi
http://arxiv.org/abs/2002.04631v1
• [cs.DC]CROFT: A scalable three-dimensional parallel Fast Fourier Transform (FFT) implementation for High Performance Clusters
Vivek Gavane, Supriya Prabhugawankar, Shivam Garg, Archana Achalere, Rajendra Joshi
http://arxiv.org/abs/2002.04896v1
• [cs.DC]Energy Efficient Algorithms based on VM Consolidation for Cloud Computing: Comparisons and Evaluations
Qiheng Zhou, Minxian Xu, Sukhpal Singh Gill, Chengxi Gao, Wenhong Tian, Chengzhong Xu, Rajkumar Buyya
http://arxiv.org/abs/2002.04860v1
• [cs.DC]Parallel Direct Domain Decomposition Methods (D3M) for Finite Elements
Javad Moshfegh, Dimitrios G. Makris, Marinos N. Vouvakis
http://arxiv.org/abs/2002.05026v1
• [cs.DC]Towards Federated Learning: Robustness Analytics to Data Heterogeneity
Jia Qian, Xenofon Fafoutis, Lars Kai Hansen
http://arxiv.org/abs/2002.05038v1
• [cs.DS]A polynomial time parallel algorithm for graph isomorphism using a quasipolynomial number of processors
Duc Hung Pham, Krishna V. Palem, M. V. Panduranga Rao
http://arxiv.org/abs/2002.04638v1
• [cs.DS]Batch-dynamic Algorithms via Parallel Change Propagation and Applications to Dynamic Trees
Umut A. Acar, Daniel Anderson, Guy E. Blelloch, Laxman Dhulipala, Sam Westrick
http://arxiv.org/abs/2002.05129v1
• [cs.DS]List-Decodable Subspace Recovery via Sum-of-Squares
Ainesh Bakshi, Pravesh Kothari
http://arxiv.org/abs/2002.05139v1
• [cs.DS]Uniform Linked Lists Contraction
Yijie Han
http://arxiv.org/abs/2002.05034v1
• [cs.GT]Fast Complete Algorithm for Multiplayer Nash Equilibrium
Sam Ganzfried
http://arxiv.org/abs/2002.04734v1
• [cs.GT]Public Bayesian Persuasion: Being Almost Optimal and Almost Persuasive
Matteo Castiglioni, Andrea Celli, Nicola Gatti
http://arxiv.org/abs/2002.05156v1
• [cs.HC]Capturing the Practices, Challenges, and Needs of Transportation Decision-Makers
Nasim Sharbatdar, Yassine Lamine, Brigitte Milord, Catherine Morency, Jinghui Cheng
http://arxiv.org/abs/2002.04587v1
• [cs.IT]Compressed Coding, AMP Based Decoding and Analog Spatial Coupling
Shansuo Liang, Chulong Liang, Junjie Ma, Li Ping
http://arxiv.org/abs/2002.04808v1
• [cs.IT]Energy Efficiency Optimization for Downlink Massive MIMO With Statistical CSIT
Li You, Jiayuan Xiong, Xinping Yi, Jue Wang, Wenjin Wang, Xiqi Gao
http://arxiv.org/abs/2002.04888v1
• [cs.IT]Fundamental Limits of Biometric Identification Systems with Strong Secrecy
Vamoua Yachongka, Hideki Yagi
http://arxiv.org/abs/2002.05100v1
• [cs.IT]Generalized Bayesian Cramér-Rao Inequality via Information Geometry of Relative $α$-Entropy
Kumar Vijay Mishra, M. Ashok Kumar
http://arxiv.org/abs/2002.04732v1
• [cs.IT]Information Freshness for Timely Detection of Status Changes
Songtao Feng, Jing Yang
http://arxiv.org/abs/2002.04648v1
• [cs.IT]Performance Analysis of Reversible Binding Receptor Based Decode-and-Forward Relay in Molecular Communication Systems
Shuo Yuan, Jiaxing Wang, Mugen Peng
http://arxiv.org/abs/2002.04957v1
• [cs.IT]Power Scaling Laws and Near-Field Behaviors of Massive MIMO and Intelligent Reflecting Surfaces
Emil Björnson, Luca Sanguinetti
http://arxiv.org/abs/2002.04960v1
• [cs.IT]Solving Some Affine Equations over Finite Fields
Sihem Mesnager, Kwang Ho Kim, Jong Hyok Choe, Dok Nam Lee
http://arxiv.org/abs/2002.04912v1
• [cs.IT]Towards Reliable UAV Swarm Communication in D2D-Enhanced Cellular Network
Yitao Han, Liang Liu, Lingjie Duan, Rui Zhang
http://arxiv.org/abs/2002.04897v1
• [cs.IT]Vision, Requirements, and Technology Trend of 6G: How to Tackle the Challenges of System Coverage, Capacity,User Data-Rate and Movement Speed
Shanzhi Chen, Ying-Chang Liang, Shaohui Sun, Shaoli Kang, Wenchi Cheng, Mugen Peng
http://arxiv.org/abs/2002.04929v1
• [cs.LG]A General Framework to Analyze Stochastic Linear Bandit
Nima Hamidi, Mohsen Bayati
http://arxiv.org/abs/2002.05152v1
• [cs.LG]A Non-Intrusive Correction Algorithm for Classification Problems with Corrupted Data
Jun Hou, Tong Qin, Kailiang Wu, Dongbin Xiu
http://arxiv.org/abs/2002.04658v1
• [cs.LG]A Random-Feature Based Newton Method for Empirical Risk Minimization in Reproducing Kernel Hilbert Space
Shahin Shahrampour, Ting-Jui Chang
http://arxiv.org/abs/2002.04753v1
• [cs.LG]A Simple General Approach to Balance Task Difficulty in Multi-Task Learning
Sicong Liang, Yu Zhang
http://arxiv.org/abs/2002.04792v1
• [cs.LG]Adversarial Robustness for Code
Pavol Bielik, Martin Vechev
http://arxiv.org/abs/2002.04694v1
• [cs.LG]Beyond UCB: Optimal and Efficient Contextual Bandits with Regression Oracles
Dylan J. Foster, Alexander Rakhlin
http://arxiv.org/abs/2002.04926v1
• [cs.LG]Capsules with Inverted Dot-Product Attention Routing
Yao-Hung Hubert Tsai, Nitish Srivastava, Hanlin Goh, Ruslan Salakhutdinov
http://arxiv.org/abs/2002.04764v1
• [cs.LG]Collaborative Inference for Efficient Remote Monitoring
Chi Zhang, Yong Sheng Soh, Ling Feng, Tianyi Zhou, Qianxiao Li
http://arxiv.org/abs/2002.04759v1
• [cs.LG]Compressive Learning of Generative Networks
Vincent Schellekens, Laurent Jacques
http://arxiv.org/abs/2002.05095v1
• [cs.LG]Convex Density Constraints for Computing Plausible Counterfactual Explanations
André Artelt, Barbara Hammer
http://arxiv.org/abs/2002.04862v1
• [cs.LG]Debugging Machine Learning Pipelines
Raoni Lourenço, Juliana Freire, Dennis Shasha
http://arxiv.org/abs/2002.04640v1
• [cs.LG]Deep Multi-Task Augmented Feature Learning via Hierarchical Graph Neural Network
Pengxin Guo, Chang Deng, Linjie Xu, Xiaonan Huang, Yu Zhang
http://arxiv.org/abs/2002.04813v1
• [cs.LG]Deep Multi-Task Learning via Generalized Tensor Trace Norm
Yi Zhang, Yu Zhang, Wei Wang
http://arxiv.org/abs/2002.04799v1
• [cs.LG]Deep Transfer Learning for Physiological Signals
Hugh Chen, Scott Lundberg, Gabe Erion, Jerry H. Kim, Su-In Lee
http://arxiv.org/abs/2002.04770v1
• [cs.LG]Differentiable Graph Module (DGM) Graph Convolutional Networks
Anees Kazi, Luca Cosmo, Nassir Navab, Michael Bronstein
http://arxiv.org/abs/2002.04999v1
• [cs.LG]Differentiating the Black-Box: Optimization with Local Generative Surrogates
Sergey Shirobokov, Vladislav Belavin, Michael Kagan, Andrey Ustyuzhanin, Atılım Güneş Baydin
http://arxiv.org/abs/2002.04632v1
• [cs.LG]Distribution-Agnostic Model-Agnostic Meta-Learning
Liam Collins, Aryan Mokhtari, Sanjay Shakkottai
http://arxiv.org/abs/2002.04766v1
• [cs.LG]Efficient Policy Learning from Surrogate-Loss Classification Reductions
Andrew Bennett, Nathan Kallus
http://arxiv.org/abs/2002.05153v1
• [cs.LG]Efficient Structure-preserving Support Tensor Train Machine
Kirandeep Kour, Sergey Dolgov, Martin Stoll, Peter Benner
http://arxiv.org/abs/2002.05079v1
• [cs.LG]Efficient active learning of sparse halfspaces with arbitrary bounded noise
Chicheng Zhang, Jie Shen, Pranjal Awasthi
http://arxiv.org/abs/2002.04840v1
• [cs.LG]Eliminating Search Intent Bias in Learning to Rank
Yingcheng Sun, Richard Kolacinski, Kenneth Loparo
http://arxiv.org/abs/2002.03203v2
• [cs.LG]Ensemble of Sparse Gaussian Process Experts for Implicit Surface Mapping with Streaming Data
Johannes A. Stork, Todor Stoyanov
http://arxiv.org/abs/2002.04911v1
• [cs.LG]Fast Geometric Projections for Local Robustness Certification
Aymeric Fromherz, Klas Leino, Matt Fredrikson, Bryan Parno, Corina Păsăreanu
http://arxiv.org/abs/2002.04742v1
• [cs.LG]Federated Clustering via Matrix Factorization Models: From Model Averaging to Gradient Sharing
Shuai Wang, Tsung-Hui Chang
http://arxiv.org/abs/2002.04930v1
• [cs.LG]Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models
Xiao Zang, Yi Xie, Jie Chen, Bo Yuan
http://arxiv.org/abs/2002.04784v1
• [cs.LG]IPBoost — Non-Convex Boosting via Integer Programming
Marc E. Pfetsch, Sebastian Pokutta
http://arxiv.org/abs/2002.04679v1
• [cs.LG]Improving Molecular Design by Stochastic Iterative Target Augmentation
Kevin Yang, Wengong Jin, Kyle Swanson, Regina Barzilay, Tommi Jaakkola
http://arxiv.org/abs/2002.04720v1
• [cs.LG]Invariant Risk Minimization Games
Kartik Ahuja, Karthikeyan Shanmugam, Kush Varshney, Amit Dhurandhar
http://arxiv.org/abs/2002.04692v1
• [cs.LG]LaProp: a Better Way to Combine Momentum with Adaptive Gradient
Liu Ziyin, Zhikang T. Wang, Masahito Ueda
http://arxiv.org/abs/2002.04839v1
• [cs.LG]Learnable Bernoulli Dropout for Bayesian Deep Learning
Shahin Boluki, Randy Ardywibowo, Siamak Zamani Dadaneh, Mingyuan Zhou, Xiaoning Qian
http://arxiv.org/abs/2002.05155v1
• [cs.LG]Learning Flat Latent Manifolds with VAEs
Nutan Chen, Alexej Klushyn, Francesco Ferroni, Justin Bayer, Patrick van der Smagt
http://arxiv.org/abs/2002.04881v1
• [cs.LG]Lookahead: a Far-Sighted Alternative of Magnitude-based Pruning
Sejun Park, Jaeho Lee, Sangwoo Mo, Jinwoo Shin
http://arxiv.org/abs/2002.04809v1
• [cs.LG]Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence
Sebastian Raschka, Joshua Patterson, Corey Nolet
http://arxiv.org/abs/2002.04803v1
• [cs.LG]More Data Can Expand the Generalization Gap Between Adversarially Robust and Standard Models
Lin Chen, Yifei Min, Mingrui Zhang, Amin Karbasi
http://arxiv.org/abs/2002.04725v1
• [cs.LG]On Layer Normalization in the Transformer Architecture
Ruibin Xiong, Yunchang Yang, Di He, Kai Zheng, Shuxin Zheng, Chen Xing, Huishuai Zhang, Yanyan Lan, Liwei Wang, Tie-Yan Liu
http://arxiv.org/abs/2002.04745v1
• [cs.LG]On the Value of Target Data in Transfer Learning
Steve Hanneke, Samory Kpotufe
http://arxiv.org/abs/2002.04747v1
• [cs.LG]Online Learning of the Kalman Filter with Logarithmic Regret
Anastasios Tsiamis, George Pappas
http://arxiv.org/abs/2002.05141v1
• [cs.LG]Online Learning with Imperfect Hints
Aditya Bhaskara, Ashok Cutkosky, Ravi Kumar, Manish Purohit
http://arxiv.org/abs/2002.04726v1
• [cs.LG]PCNN: Pattern-based Fine-Grained Regular Pruning towards Optimizing CNN Accelerators
Zhanhong Tan, Jiebo Song, Xiaolong Ma, Sia-Huat Tan, Hongyang Chen, Yuanqing Miao, Yifu Wu, Shaokai Ye, Yanzhi Wang, Dehui Li, Kaisheng Ma
http://arxiv.org/abs/2002.04997v1
• [cs.LG]Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies
Giulia Zarpellon, Jason Jo, Andrea Lodi, Yoshua Bengio
http://arxiv.org/abs/2002.05120v1
• [cs.LG]Patternless Adversarial Attacks on Video Recognition Networks
Itay Naeh, Roi Pony, Shie Mannor
http://arxiv.org/abs/2002.05123v1
• [cs.LG]Provably Convergent Policy Gradient Methods for Model-Agnostic Meta-Reinforcement Learning
Alireza Fallah, Aryan Mokhtari, Asuman Ozdaglar
http://arxiv.org/abs/2002.05135v1
• [cs.LG]Regret Bounds for Discounted MDPs
Shuang Liu, Hao Su
http://arxiv.org/abs/2002.05138v1
• [cs.LG]Reinforcement Learning Enhanced Quantum-inspired Algorithm for Combinatorial Optimization
Dmitrii Beloborodov, A. E. Ulanov, Jakob N. Foerster, Shimon Whiteson, A. I. Lvovsky
http://arxiv.org/abs/2002.04676v1
• [cs.LG]Reward-rational (implicit) choice: A unifying formalism for reward learning
Hong Jun Jeon, Smitha Milli, Anca D. Dragan
http://arxiv.org/abs/2002.04833v1
• [cs.LG]Robustness of Bayesian Neural Networks to Gradient-Based Attacks
Ginevra Carbone, Matthew Wicker, Luca Laurenti, Andrea Patane, Luca Bortolussi, Guido Sanguinetti
http://arxiv.org/abs/2002.04359v2
• [cs.LG]Salvaging Federated Learning by Local Adaptation
Tao Yu, Eugene Bagdasaryan, Vitaly Shmatikov
http://arxiv.org/abs/2002.04758v1
• [cs.LG]Superbloom: Bloom filter meets Transformer
John Anderson, Qingqing Huang, Walid Krichene, Steffen Rendle, Li Zhang
http://arxiv.org/abs/2002.04723v1
• [cs.LG]Task-Aware Variational Adversarial Active Learning
Kwanyoung Kim, Dongwon Park, Kwang In Kim, Se Young Chun
http://arxiv.org/abs/2002.04709v1
• [cs.LG]Think Global, Act Local: Relating DNN generalisation and node-level SNR
Paul Norridge
http://arxiv.org/abs/2002.04687v1
• [cs.LG]To Split or Not to Split: The Impact of Disparate Treatment in Classification
Hao Wang, Hsiang Hsu, Mario Diaz, Flavio P. Calmon
http://arxiv.org/abs/2002.04788v1
• [cs.LG]Topologically Densified Distributions
Christoph D. Hofer, Florian Graf, Marc Niethammer, Roland Kwitt
http://arxiv.org/abs/2002.04805v1
• [cs.LG]Understanding Global Loss Landscape of One-hidden-layer ReLU Neural Networks
Bo Liu
http://arxiv.org/abs/2002.04763v1
• [cs.LG]Unique Properties of Wide Minima in Deep Networks
Rotem Mulayoff, Tomer Michaeli
http://arxiv.org/abs/2002.04710v1
• [cs.LG]dtControl: Decision Tree Learning Algorithms for Controller Representation
Pranav Ashok, Mathias Jackermeier, Pushpak Jagtap, Jan Křetínský, Maximilian Weininger, Majid Zamani
http://arxiv.org/abs/2002.04991v1
• [cs.LG]fastai: A Layered API for Deep Learning
Jeremy Howard, Sylvain Gugger
http://arxiv.org/abs/org/abs/2002.04688v1
• [cs.LG]fastai: A Layered API for Deep Learning
Jeremy Howard, Sylvain Gugger
http://arxiv.org/abs/2002.04688v1
• [cs.MA]Learning Graph Influence from Social Interactions
Vincenzo Matta, Virginia Bordignon, Augusto Santos, Ali H. Sayed
http://arxiv.org/abs/2002.04946v1
• [cs.MS]Task-based, GPU-accelerated and Robust Library for Solving Dense Nonsymmetric Eigenvalue Problems
Mirko Myllykoski, Carl Christian Kjelgaard Mikkelsen
http://arxiv.org/abs/2002.05024v1
• [cs.NE]Neuroevolution of Neural Network Architectures Using CoDeepNEAT and Keras
Jonas da Silveira Bohrer, Bruno Iochins Grisci, Marcio Dorn
http://arxiv.org/abs/2002.04634v1
• [cs.NE]Synaptic Integration of Spatiotemporal Features with a Dynamic Neuromorphic Processor
Mattias Nilsson, Foteini Liwicki, Fredrik Sandin
http://arxiv.org/abs/2002.04924v1
• [cs.NI]Characterizing network paths in and out of the clouds
Igor Sfiligoi, John Graham, Frank Wuerthwein
http://arxiv.org/abs/2002.04568v1
• [cs.PF]Eigenvector Component Calculation Speedup over NumPy for High Performance Computing
Shrey Dabhi, Manojkumar Parmar
http://arxiv.org/abs/2002.04989v1
• [cs.PF]Understanding HPC Benchmark Performance on Intel Broadwell and Cascade Lake Processors
Christie L. Alappat, Johannes Hofmann, Georg Hager, Holger Fehske, Alan R. Bishop, Gerhard Wellein
http://arxiv.org/abs/2002.03344v2
• [cs.RO]A Single RGB Camera Based Gait Analysis with a Mobile Tele-Robot for Healthcare
Ziyang Wang, Fani Deligianni, Qi Liu, Irina Voiculescu, Guang-Zhong Yang
http://arxiv.org/abs/2002.04700v1
• [cs.RO]Can I Trust You? A User Study of Robot Mediation of a Support Group
Chris Birmingham, Zijian Hu, Kartik Mahajan, Eli Reber, Maja J Mataric
http://arxiv.org/abs/2002.04671v1
• [cs.RO]Computing the racing line using Bayesian optimization
Achin Jain, Manfred Morari
http://arxiv.org/abs/2002.04794v1
• [cs.RO]Dynamically Reconfigurable Discrete Distributed Stiffness for Inflated Beam Robots
Brian H. Do, Valory Banashek, Allison M. Okamura
http://arxiv.org/abs/2002.04728v1
• [cs.RO]Fast Generation of High Fidelity RGB-D Images by Deep-Learning with Adaptive Convolution
Chuhua Xian, Dongjiu Zhang, Chengkai Dai, Charlie C. L. Wang
http://arxiv.org/abs/2002.05067v1
• [cs.RO]Fast Planning Over Roadmaps via Selective Densification
Brad Saund, Dmitry Berenson
http://arxiv.org/abs/2002.04941v1
• [cs.RO]Force-Sensor-Less Bilateral Teleoperation Control of Dissimilar Master-Slave System with Arbitrary Scaling
Santeri Lampinen, Janne Koivumäki, Wen-Hong Zhu, Jouni Mattila
http://arxiv.org/abs/2002.04874v1
• [cs.RO]GRASPA 1.0: GRASPA is a Robot Arm graSping Performance benchmArk
Fabrizio Bottarel, Giulia Vezzani, Ugo Pattacini, Lorenzo Natale
http://arxiv.org/abs/2002.05017v1
• [cs.RO]On Rearrangement of Items Stored in Stacks
Mario Szegedy, Jingjin Yu
http://arxiv.org/abs/2002.04979v1
• [cs.RO]Recreating Bat Behavior on Quad-rotor UAVs-A Simulation Approach
M. Hassan Tanveer, Antony Thomas, Xiaowei Wu, Rolf Muller, Pratap Tokekar, Hongxiao Zhu
http://arxiv.org/abs/2002.05060v1
• [cs.RO]Robust Vision-based Obstacle Avoidance for Micro Aerial Vehicles in Dynamic Environments
Jiahao Lin, Hai Zhu, Javier Alonso-Mora
http://arxiv.org/abs/2002.04920v1
• [cs.SE]DeepMutation: A Neural Mutation Tool
Michele Tufano, Jason Kimko, Shiya Wang, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Denys Poshyvanyk
http://arxiv.org/abs/2002.04760v1
• [cs.SI]Analyzing, Exploring, and Visualizing Complex Networks via Hypergraphs using SimpleHypergraphs.jl
Alessia Antelmi, Gennaro Cordasco, Bogumił Kamiński, Paweł Prałat, Vittorio Scarano, Carmine Spagnuolo, Przemyslaw Szufel
http://arxiv.org/abs/2002.04654v1
• [cs.SI]Trust dynamics and user attitudes on recommendation errors: preliminary results
David A. Pelta, Jose L. Verdegay, Maria T. Lamata, Carlos Cruz Corona
http://arxiv.org/abs/2002.04302v1
• [eess.AS]Active Learning for Sound Event Detection
Shuyang Zhao, Toni Heittola, Tuomas Virtanen
http://arxiv.org/abs/2002.05033v1
• [eess.AS]Attentional Speech Recognition Models Misbehave on Out-of-domain Utterances
Phillip Keung, Wei Niu, Yichao Lu, Julian Salazar, Vikas Bhardwaj
http://arxiv.org/abs/2002.05150v1
• [eess.AS]Phoneme Boundary Detection using Learnable Segmental Features
Felix Kreuk, Yaniv Sheena, Joseph Keshet, Yossi Adi
http://arxiv.org/abs/2002.04992v1
• [eess.AS]x-vectors meet emotions: A study on dependencies between emotion and speaker recognition
Raghavendra Pappagari, Tianzi Wang, Jesus Villalba, Nanxin Chen, Najim Dehak
http://arxiv.org/abs/2002.05039v1
• [eess.IV]From IC Layout to Die Photo: A CNN-Based Data-Driven Approach
Hao-Chiang Shao, Chao-Yi Peng, Jun-Rei Wu, Chia-Wen Lin, Shao-Yun Fang, Pin-Yen Tsai, Yan-Hsiu Liu
http://arxiv.org/abs/2002.04967v1
• [eess.IV]Machine-Learning-Based Diagnostics of EEG Pathology
Lukas Alexander Wilhelm Gemein, Robin Tibor Schirrmeister, Patryk Chrabąszcz, Daniel Wilson, Joschka Boedecker, Andreas Schulze-Bonhage, Frank Hutter, Tonio Ball
http://arxiv.org/abs/2002.05115v1
• [eess.IV]Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes
Rachel Lea Draelos, David Dov, Maciej A. Mazurowski, Joseph Y. Lo, Ricardo Henao, Geoffrey D. Rubin, Lawrence Carin
http://arxiv.org/abs/2002.04752v1
• [eess.SP]Weighted Sum-Rate Maximization for Multi-IRS Aided Cooperative Transmission
Zhengfeng Li, Meng Hua, Qingxia Wang, Qingheng Song
http://arxiv.org/abs/2002.04900v1
• [math.NA]Distributed and Adaptive Fast Multipole Method In Three Dimensions
Jonathan Bull, Stefan Engblom
http://arxiv.org/abs/2002.04894v1
• [math.OC]Branch-and-Bound Method for Just-in-Time Optimization of Radar Search Patterns
Yann Briheche, Frédéric Barbaresco, Fouad Bennis, Damien Chablat
http://arxiv.org/abs/2002.04906v1
• [math.ST]Asymptotics for M-type smoothing splines with non-smooth objective functions
Ioannis Kalogridis
http://arxiv.org/abs/2002.04898v1
• [math.ST]Interpolation problem for periodically correlated stochastic sequences with missing observations
Iryna Golichenko, Mikhail Moklyachuk
http://arxiv.org/abs/2002.04383v1
• [physics.comp-ph]Targeted free energy estimation via learned mappings
Peter Wirnsberger, Andrew J. Ballard, George Papamakarios, Stuart Abercrombie, Sébastien Racanière, Alexander Pritzel, Danilo Jimenez Rezende, Charles Blundell
http://arxiv.org/abs/2002.04913v1
• [physics.soc-ph]A novel route to cyclic dominance in voluntary social dilemmas
Hao Guo, Zhao Song, Sunčana Geček, Xuelong Li, Marko Jusup, Matjaz Perc, Yamir Moreno, Stefano Boccaletti, Zhen Wang
http://arxiv.org/abs/2002.05106v1
• [physics.soc-ph]Complex contagion features without social reinforcement in a model of social information flow
Tyson Pond, Saranzaya Magsarjav, Tobin South, Lewis Mitchell, James P. Bagrow
http://arxiv.org/abs/2002.05035v1
• [q-bio.NC]The Unreasonable Effectiveness of Deep Learning in Artificial Intelligence
Terrence J. Sejnowski
http://arxiv.org/abs/2002.04806v1
• [q-bio.PE]Predictions of 2019-nCoV Transmission Ending via Comprehensive Methods
Tianyu Zeng, Yunong Zhang, Zhenyu Li, Xiao Liu, Binbin Qiu
http://arxiv.org/abs/2002.04945v1
• [stat.AP]A powerful MAF-neutral allele-based test for case-control association studies
Marianne A. Jonker, Jakub Pecanka
http://arxiv.org/abs/2002.05048v1
• [stat.AP]Forecast of the evolution of the contagious disease caused by novel coronavirus (2019-nCoV) in China
Javier Gamero, Juan A. Tamayo, Juan A. Martinez-Roman
http://arxiv.org/abs/2002.04739v1
• [stat.AP]Mendelian Randomization with Incomplete Exposure Data: a Bayesian Approach
Teresa Fazia, Leonardo Egidi, Burcu Ayoglu, Ashley Beecham, Pier Paolo Bitti, Anna Ticca, Hui Guo, Jacob L. McCauley, Peter Nilsson, Rosanna Asselta, Carlo Berzuini, Luisa Bernardinelli
http://arxiv.org/abs/2002.04872v1
• [stat.ME]A Method Expanding 2 by 2 Contingency Table by Obtaining Tendencies of Boolean Operators: Boolean Monte Carlo Method
Takuma Usuzaki, Minoru Shimoyama, Shuji Chiba, Naoko Mori, Shunji Mugikura
http://arxiv.org/abs/2002.04721v1
• [stat.ME]A regression-based method for detecting publication bias in multivariate meta-analysis
Chuan Hong, Jing Zhang, Yang Li, Elena Elia, Richard Riley, Yong Chen
http://arxiv.org/abs/2002.04775v1
• [stat.ME]Bayesian Nonparametric Cost-Effectiveness Analyses: Causal Estimation and Adaptive Subgroup Discovery
Arman Oganisian, Nandita Mitra, Jason Roy
http://arxiv.org/abs/2002.04706v1
• [stat.ME]Computationally efficient univariate filtering for massive data
M. Tsagris, A. Alenazi, S. Fafalios
http://arxiv.org/abs/2002.04691v1
• [stat.ME]M-estimators of scatter with eigenvalue shrinkage
Esa Ollila, Daniel P. Palomar, Frederic Pascal
http://arxiv.org/abs/2002.04996v1
• [stat.ME]Selecting time-series hyperparameters with the artificial jackknife
Filippo Pellegrino
http://arxiv.org/abs/2002.04697v1
• [stat.ME]The $α$-$k$-$NN$ regression for compositional data
Michail Tsagris, Abdulaziz Alenazi, Connie Stewart
http://arxiv.org/abs/2002.05137v1
• [stat.ML]Development of modeling and control strategies for an approximated Gaussian process
Shisheng Cui, Chia-Jung Chang
http://arxiv.org/abs/2002.05105v1
• [stat.ML]Improved Consistency Regularization for GANs
Zhengli Zhao, Sameer Singh, Honglak Lee, Zizhao Zhang, Augustus Odena, Han Zhang
http://arxiv.org/abs/2002.04724v1
• [stat.ML]Large Scale Tensor Regression using Kernels and Variational Inference
Robert Hu, Geoff K. Nicholls, Dino Sejdinovic
http://arxiv.org/abs/2002.04704v1
• [stat.ML]Regret Bounds for Noise-Free Bayesian Optimization
Sattar Vakili, Victor Picheny, Nicolas Durrande
http://arxiv.org/abs/2002.05096v1
• [stat.ML]Sparse Recovery With Non-Linear Fourier Features
Ayca Ozcelikkale
http://arxiv.org/abs/2002.04985v1
• [stat.ML]Structure-Property Maps with Kernel Principal Covariates Regression
Benjamin A. Helfrecht, Rose K. Cersonsky, Guillaume Fraux, Michele Ceriotti
http://arxiv.org/abs/2002.05076v1
• [stat.ML]Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent
David Holzmüller, Ingo Steinwart
http://arxiv.org/abs/2002.04861v1
• [stat.ML]Weighted Empirical Risk Minimization: Sample Selection Bias Correction based on Importance Sampling
Robin Vogel, Mastane Achab, Stéphan Clémençon, Charles Tillier
http://arxiv.org/abs/2002.05145v1