astro-ph.IM - 仪器仪表和天体物理学方法

    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.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DM - 离散数学 cs.DS - 数据结构与算法 cs.FL - 形式语言与自动机理论 cs.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 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.PF - 计算性能 cs.RO - 机器人学 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 econ.TH - 理论经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.CO - 组合数学 math.HO - 历史与概述 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.chem-ph -化学物理 physics.med-ph - 医学物理学 physics.soc-ph - 物理学与社会 q-bio.CB - 细胞行为 q-bio.NC - 神经元与认知 q-fin.GN - 通用财务 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.IM]Gravitational-wave parameter estimation with autoregressive neural network flows
    • [cs.AI]AdaEnsemble Learning Approach for Metro Passenger Flow Forecasting
    • [cs.AI]An Overview of Distance and Similarity Functions for Structured Data
    • [cs.AI]KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge
    • [cs.AI]MoTiAC: Multi-Objective Actor-Critics for Real-Time Bidding
    • [cs.CL]A New Clustering neural network for Chinese word segmentation
    • [cs.CL]A Survey of Deep Learning Techniques for Neural Machine Translation
    • [cs.CL]An enhanced Tree-LSTM architecture for sentence semantic modeling using typed dependencies
    • [cs.CL]Annotating and Extracting Synthesis Process of All-Solid-State Batteries from Scientific Literature
    • [cs.CL]Conditional Self-Attention for Query-based Summarization
    • [cs.CL]From English To Foreign Languages: Transferring Pre-trained Language Models
    • [cs.CL]Gradient-Based Adversarial Training on Transformer Networks for Detecting Check-Worthy Factual Claims
    • [cs.CL]Hierarchical Transformer Network for Utterance-level Emotion Recognition
    • [cs.CL]Improving Multi-Turn Response Selection Models with Complementary Last-Utterance Selection by Instance Weighting
    • [cs.CL]Learning by Semantic Similarity Makes Abstractive Summarization Better
    • [cs.CL]Neural Machine Translation with Joint Representation
    • [cs.CL]Neural Relation Prediction for Simple Question Answering over Knowledge Graph
    • [cs.CL]Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue
    • [cs.CL]Text Classification with Lexicon from PreAttention Mechanism
    • [cs.CR]An Efficient Permissioned Blockchain Model with Provable Reputation Mechanism
    • [cs.CR]Expected Linear Round Synchronization: The Missing Link for Linear Byzantine SMR
    • [cs.CR]Mind Your Weight(s): A Large-scale Study on Insufficient Machine Learning Model Protection in Mobile Apps
    • [cs.CR]Poster Abstract: Towards Scalable and Trustworthy Decentralized Collaborative Intrusion Detection System for IoT
    • [cs.CR]ROBin: Known-Plaintext Attack Resistant Orthogonal Blinding via Channel Randomization
    • [cs.CR]Secure Status Updates under Eavesdropping: Age of Information-based Physical Layer Security Metrics
    • [cs.CV]3D Gated Recurrent Fusion for Semantic Scene Completion
    • [cs.CV]Computational optimization of convolutional neural networks using separated filters architecture
    • [cs.CV]Constraining Temporal Relationship for Action Localization
    • [cs.CV]DivideMix: Learning with Noisy Labels as Semi-supervised Learning
    • [cs.CV]Dual-Attention GAN for Large-Pose Face Frontalization
    • [cs.CV]EHSOD: CAM-Guided End-to-end Hybrid-Supervised Object Detection with Cascade Refinement
    • [cs.CV]FeatureNMS: Non-Maximum Suppression by Learning Feature Embeddings
    • [cs.CV]Few-Shot Few-Shot Learning and the role of Spatial Attention
    • [cs.CV]High-Order Paired-ASPP Networks for Semantic Segmenation
    • [cs.CV]Key Points Estimation and Point Instance Segmentation Approach for Lane Detection
    • [cs.CV]Knowledge Integration Networks for Action Recognition
    • [cs.CV]MAST: A Memory-Augmented Self-supervised Tracker
    • [cs.CV]Multi-Task Learning from Videos via Efficient Inter-Frame Attention
    • [cs.CV]Multilinear Compressive Learning with Prior Knowledge
    • [cs.CV]Neural arbitrary style transfer for portrait images using the attention mechanism
    • [cs.CV]Registration of multi-view point sets under the perspective of expectation-maximization
    • [cs.CV]Towards Bounding-Box Free Panoptic Segmentation
    • [cs.CV]V4D:4D Convolutional Neural Networks for Video-level Representation Learning
    • [cs.CV]Voxel-Based Indoor Reconstruction From HoloLens Triangle Meshes
    • [cs.CY]Artificial Intelligent Ethics in the Digital Era: an Engineering Ethical Framework Proposal
    • [cs.CY]Relationship between the visibility of political leaders during campaign and the outcome in general elections. A case study for Spain
    • [cs.CY]The didactic potential of virtual information educational environment as a tool of geography students training
    • [cs.DC]A Scalable Method for Scheduling Distributed Energy Resources using Parallelized Population-based Metaheuristics
    • [cs.DC]Constructive expressive power of population protocols
    • [cs.DC]Decentralized Validation for Non-malicious Arbitrary Fault Tolerance in Paxos
    • [cs.DC]Distributed Maximum Matching Verification in CONGEST
    • [cs.DC]Distributed graph problems through an automata-theoretic lens
    • [cs.DC]Flow: Separating Consensus and Compute — Block Formation and Execution
    • [cs.DC]MARVEL: A Decoupled Model-driven Approach for Efficiently Mapping Convolutions on Spatial DNN Accelerators
    • [cs.DC]STANNIS: Low-Power Acceleration of Deep NeuralNetwork Training Using Computational Storage
    • [cs.DC]SURFACE: A Practical Blockchain Consensus Algorithm for Real-World Networks
    • [cs.DC]Scheduling periodic messages on a shared link
    • [cs.DC]Structural Invariants for the Verification of Systems with Parameterized Architectures
    • [cs.DC]Verified Instruction-Level Energy Consumption Measurement for NVIDIA GPUs
    • [cs.DM]Cover Combinatorial Filters and their Minimization Problem
    • [cs.DM]Generating random bigraphs with preferential attachment
    • [cs.DS]Computing the k Densest Subgraphs of a Graph
    • [cs.DS]Coreset-based Strategies for Robust Center-type Problems
    • [cs.DS]Dynamic Graph Algorithms with Batch Updates in the Massively Parallel Computation Model
    • [cs.DS]How to Solve Fair $k$-Center in Massive Data Models
    • [cs.DS]k-means++: few more steps yield constant approximation
    • [cs.FL]Decidability of cutpoint isolation for letter-monotonic probabilistic finite automata
    • [cs.FL]Synthesis in Presence of Dynamic Links
    • [cs.GT]The Complexity of Interactively Learning a Stable Matching by Trial and Error
    • [cs.HC]Decoding pedestrian and automated vehicle interactions using immersive virtual reality and interpretable deep learning
    • [cs.IR]Investigating Potential Factors Associated with Gender Discrimination in Collaborative Recommender Systems
    • [cs.IT]Fundamental Limits of Wireless Caching Under Mixed Cacheable and Uncacheable Traffic
    • [cs.IT]GCSA Codes with Noise Alignment for Secure Coded Multi-Party Batch Matrix Multiplication
    • [cs.IT]Golay Layer: Limiting Peak-to-Average Power Ratio for OFDM-based Autoencoders
    • [cs.IT]How incomputable is Kolmogorov complexity?
    • [cs.IT]Impact of Fountain Codes on GPRS channels
    • [cs.IT]Information Theory as a Means of Determining the Main Factors Affecting the Processors Architecture
    • [cs.IT]Joint Frame Design and Resource Allocation for Ultra-Reliable and Low-Latency Vehicular Networks
    • [cs.IT]Leveraging Linear Quadratic Regulator Cost and Energy Consumption for Ultra-Reliable and Low-Latency IoT Control Systems
    • [cs.IT]Performance Analysis of Quantized Uplink Massive MIMO-OFDM With Oversampling Under Adjacent Channel Interference
    • [cs.IT]Performance Trade-off Between Uplink and Downlink in Full-Duplex Communications
    • [cs.IT]Rate Splitting for Multi-Antenna Downlink: Precoder Design and Practical Implementation
    • [cs.IT]Vector Gaussian Successive Refinement With Degraded Side Information
    • [cs.LG]A Computationally Efficient Neural Network Invariant to the Action of Symmetry Subgroups
    • [cs.LG]A Lagrangian Approach to Information Propagation in Graph Neural Networks
    • [cs.LG]A Modified Perturbed Sampling Method for Local Interpretable Model-agnostic Explanation
    • [cs.LG]A Resolution in Algorithmic Fairness: Calibrated Scores for Fair Classifications
    • [cs.LG]A flexible outlier detector based on a topology given by graph communities
    • [cs.LG]Adaptive Estimator Selection for Off-Policy Evaluation
    • [cs.LG]Adaptive Region-Based Active Learning
    • [cs.LG]Assessing the Memory Ability of Recurrent Neural Networks
    • [cs.LG]Conditional Mutual information-based Contrastive Loss for Financial Time Series Forecasting
    • [cs.LG]Controlled time series generation for automotive software-in-the-loop testing using GANs
    • [cs.LG]Correlation-aware Deep Generative Model for Unsupervised Anomaly Detection
    • [cs.LG]Deep Neural Networks for the Correction of Mie Scattering in Fourier-Transformed Infrared Spectra of Biological Samples
    • [cs.LG]Deflecting Adversarial Attacks
    • [cs.LG]Differentiable Top-k Operator with Optimal Transport
    • [cs.LG]Distributed Optimization over Block-Cyclic Data
    • [cs.LG]Evolutionary Optimization of Deep Learning Activation Functions
    • [cs.LG]Failout: Achieving Failure-Resilient Inference in Distributed Neural Networks
    • [cs.LG]Federated Extra-Trees with Privacy Preserving
    • [cs.LG]GACEM: Generalized Autoregressive Cross Entropy Method for Multi-Modal Black Box Constraint Satisfaction
    • [cs.LG]Generalized Neural Policies for Relational MDPs
    • [cs.LG]Gradient $\ell1$ Regularization for Quantization Robustness
    • [cs.LG]Hierarchical Correlation Clustering and Tree Preserving Embedding
    • [cs.LG]Identifying Critical Neurons in ANN Architectures using Mixed Integer Programming
    • [cs.LG]Improved Optimistic Algorithms for Logistic Bandits
    • [cs.LG]Individual Fairness Revisited: Transferring Techniques from Adversarial Robustness
    • [cs.LG]Investigating Extensions to Random Walk Based Graph Embedding
    • [cs.LG]Kalman meets Bellman: Improving Policy Evaluation through Value Tracking
    • [cs.LG]Langevin DQN
    • [cs.LG]Learning Bijective Feature Maps for Linear ICA
    • [cs.LG]Learning Parities with Neural Networks
    • [cs.LG]Learning Robust Representations via Multi-View Information Bottleneck
    • [cs.LG]Local Propagation in Constraint-based Neural Network
    • [cs.LG]MapLUR: Exploring a new Paradigm for Estimating Air Pollution using Deep Learning on Map Images
    • [cs.LG]Neural Attentive Multiview Machines
    • [cs.LG]On the Discrepancy between Density Estimation and Sequence Generation
    • [cs.LG]On the Matrix-Free Generation of Adversarial Perturbations for Black-Box Attacks
    • [cs.LG]Picking Winning Tickets Before Training by Preserving Gradient Flow
    • [cs.LG]Ripple Walk Training: A Subgraph-based training framework for Large and Deep Graph Neural Network
    • [cs.LG]Robust Quantization: One Model to Rule Them All
    • [cs.LG]Robust Stochastic Bandit Algorithms under Probabilistic Unbounded Adversarial Attack
    • [cs.LG]Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs
    • [cs.LG]The Tree Ensemble Layer: Differentiability meets Conditional Computation
    • [cs.MA]Multi-Issue Bargaining With Deep Reinforcement Learning
    • [cs.NE]Balancing reconstruction error and Kullback-Leibler divergence in Variational Autoencoders
    • [cs.NI]Network Slicing for Service-Oriented Networks with Flexible Routing and Guaranteed E2E Latency
    • [cs.PF]AIBench: An Agile Domain-specific Benchmarking Methodology and an AI Benchmark Suite
    • [cs.RO]A Spiking Neural Network Emulating the Structure of the Oculomotor System Requires No Learning to Control a Biomimetic Robotic Head
    • [cs.RO]DISCO: Double Likelihood-free Inference Stochastic Control
    • [cs.RO]Improving Tracking through Human-Robot Sensory Augmentation
    • [cs.RO]Machine Learning for Motor Learning: EEG-based Continuous Assessment of Cognitive Engagement for Adaptive Rehabilitation Robots
    • [cs.RO]On sensing-aware model predictive path-following control for a reversing general 2-trailer with a car-like tractor
    • [cs.RO]Spatial Concept-Based Navigation with Human Speech Instructions via Probabilistic Inference on Bayesian Generative Model
    • [cs.SI]A Model to Measure the Spread Power of Rumors
    • [cs.SI]Adversarial Deep Network Embedding for Cross-network Node Classification
    • [cs.SI]Extracting hierarchical backbones from bipartite networks
    • [cs.SI]How Impersonators Exploit Instagram to Generate Fake Engagement?
    • [cs.SI]Modeling Citation Trajectories of Scientific Papers
    • [cs.SI]Tie Strength in Online Social Networks and its Applications: A Brief Study
    • [econ.EM]Double/Debiased Machine Learning for Dynamic Treatment Effects
    • [econ.TH]Fair Prediction with Endogenous Behavior
    • [eess.AS]Multi-Task Siamese Neural Network for Improving Replay Attack Detection
    • [eess.IV]Automated Cardiothoracic Ratio Calculation and Cardiomegaly Detection using Deep Learning Approach
    • [eess.IV]Camera Model Anonymisation with Augmented cGANs
    • [eess.IV]Deep Learning in Medical Ultrasound Image Segmentation: a Review
    • [eess.IV]Image Entropy for Classification and Analysis of Pathology Slides
    • [eess.IV]Motion Deblurring using Spatiotemporal Phase Aperture Coding
    • [eess.IV]NoiseBreaker: Gradual Image Denoising Guided by Noise Analysis
    • [eess.SP]Bit Error Rate Analysis of M-ARY PSK and M-ARY QAM Over Rician Fading Channel
    • [eess.SP]Intelligent and Reconfigurable Architecture for KL Divergence Based Online Machine Learning Algorithm
    • [eess.SP]Restricted Structural Random Matrix for Compressive Sensing
    • [eess.SP]Wireless Power Control via Counterfactual Optimization of Graph Neural Networks
    • [math.CO]Codes with few weights arising from linear sets
    • [math.HO]Elitism in Mathematics and Inequality
    • [math.OC]A Distributionally Robust Area Under Curve Maximization Model
    • [math.OC]Algorithms for Hiring and Outsourcing in the Online Labor Market
    • [math.OC]Constrained Multiagent Rollout and Multidimensional Assignment with the Auction Algorithm
    • [math.OC]D2C 2.0: Decoupled Data-Based Approach for Learning to Control Stochastic Nonlinear Systems via Model-Free ILQR
    • [math.OC]Distributed Adaptive Newton Methods with Globally Superlinear Convergence
    • [math.OC]Network Theoretic Analysis of Maximum a Posteriori Detectors for Sensor Analysis and Design
    • [math.OC]Stochastic Gauss-Newton Algorithms for Nonconvex Compositional Optimization
    • [math.PR]Estimating processes in adapted Wasserstein distance
    • [math.PR]Transmission and navigation on disordered lattice networks, directed spanning forests and scaling limits
    • [math.ST]Adaptive minimax testing in inverse Gaussian sequence space models
    • [math.ST]Asymptotic properties of Bernstein estimators on the simplex
    • [math.ST]Consistency of $\ell     {1}$ Penalized Negative Binomial Regressions
    • [math.ST]Estimating the Penalty Level of $\ell_{1}$-minimization via Two Gaussian Approximation Methods
    • [math.ST]Extremal independence old and new
    • [math.ST]Foundations of Structural Statistics: Statistical Manifolds
    • [math.ST]Optimal Structured Principal Subspace Estimation: Metric Entropy and Minimax Rates
    • [math.ST]Sharp Asymptotics and Optimal Performance for Inference in Binary Models
    • [math.ST]Stabilities of Shape Identification Inverse Problems in a Bayesian Framework
    • [physics.chem-ph]Combining SchNet and SHARC: The SchNarc machine learning approach for excited-state dynamics
    • [physics.med-ph]Surrogate-free machine learning-based organ dose reconstruction for pediatric abdominal radiotherapy
    • [physics.soc-ph]Latent Poisson models for networks with heterogeneous density
    • [q-bio.CB]Hierarchical Classification of Enzyme Promiscuity Using Positive, Unlabeled, and Hard Negative Examples
    • [q-bio.NC]The Mathematical Structure of Integrated Information Theory
    • [q-fin.GN]ESG investments: Filtering versus machine learning approaches
    • [stat.AP]Estimating the travel time and the most likely path from Lagrangian drifters
    • [stat.ME]A confidence interval robust to publication bias for random-effects meta-analysis of few studies
    • [stat.ME]Bayesian Quantile Factor Models
    • [stat.ME]Nonparametric Bayesian Deconvolution of a Symmetric Unimodal Density
    • [stat.ME]Post-selection inference on high-dimensional varying-coefficient quantile regression model
    • [stat.ME]Quantum Implementation of Risk Analysis-relevant Copulas
    • [stat.ME]Thou Shalt Not Reject the $\textit{P}$-value
    • [stat.ML]A Neural Network Based on First Principles
    • [stat.ML]A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models
    • [stat.ML]Data Transformation Insights in Self-supervision with Clustering Tasks
    • [stat.ML]Decision-Making with Auto-Encoding Variational Bayes
    • [stat.ML]Deep Attention Spatio-Temporal Point Processes
    • [stat.ML]Deep Gaussian Markov random fields
    • [stat.ML]Distributed Non-Convex Optimization with Sublinear Speedup under Intermittent Client Availability
    • [stat.ML]Distributional Sliced-Wasserstein and Applications to Generative Modeling
    • [stat.ML]Estimating the number and effect sizes of non-null hypotheses
    • [stat.ML]Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness
    • [stat.ML]Reinforcement Learning for Molecular Design Guided by Quantum Mechanics
    • [stat.ML]Statistically Efficient, Polynomial Time Algorithms for Combinatorial Semi Bandits
    • [stat.ML]Uncertainty in Structured Prediction

    ·····································

    • [astro-ph.IM]Gravitational-wave parameter estimation with autoregressive neural network flows
    Stephen R. Green, Christine Simpson, Jonathan Gair
    http://arxiv.org/abs/2002.07656v1

    • [cs.AI]AdaEnsemble Learning Approach for Metro Passenger Flow Forecasting
    Shaolong Sun, Dongchuan Yang, Gengzhong Feng, Ju-e Guo
    http://arxiv.org/abs/2002.07575v1

    • [cs.AI]An Overview of Distance and Similarity Functions for Structured Data
    Santiago Ontañón
    http://arxiv.org/abs/2002.07420v1

    • [cs.AI]KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge
    Peng Zhang, Jianye Hao, Weixun Wang, Hongyao Tang, Yi Ma, Yihai Duan, Yan Zheng
    http://arxiv.org/abs/2002.07418v1

    • [cs.AI]MoTiAC: Multi-Objective Actor-Critics for Real-Time Bidding
    Chaoqi Yang, Junwei Lu, Xiaofeng Gao, Haishan Liu, Qiong Chen, Gongshen Liu, Guihai Chen
    http://arxiv.org/abs/2002.07408v1

    • [cs.CL]A New Clustering neural network for Chinese word segmentation
    Yuze Zhao
    http://arxiv.org/abs/2002.07458v1

    • [cs.CL]A Survey of Deep Learning Techniques for Neural Machine Translation
    Shuoheng Yang, Yuxin Wang, Xiaowen Chu
    http://arxiv.org/abs/2002.07526v1

    • [cs.CL]An enhanced Tree-LSTM architecture for sentence semantic modeling using typed dependencies
    Jeena Kleenankandy, K. A. Abdul Nazeer
    http://arxiv.org/abs/2002.07775v1

    • [cs.CL]Annotating and Extracting Synthesis Process of All-Solid-State Batteries from Scientific Literature
    Fusataka Kuniyoshi, Kohei Makino, Jun Ozawa, Makoto Miwa
    http://arxiv.org/abs/2002.07339v1

    • [cs.CL]Conditional Self-Attention for Query-based Summarization
    Yujia Xie, Tianyi Zhou, Yi Mao, Weizhu Chen
    http://arxiv.org/abs/2002.07338v1

    • [cs.CL]From English To Foreign Languages: Transferring Pre-trained Language Models
    Ke Tran
    http://arxiv.org/abs/2002.07306v1

    • [cs.CL]Gradient-Based Adversarial Training on Transformer Networks for Detecting Check-Worthy Factual Claims
    Kevin Meng, Damian Jimenez, Fatma Arslan, Jacob Daniel Devasier, Daniel Obembe, Chengkai Li
    http://arxiv.org/abs/2002.07725v1

    • [cs.CL]Hierarchical Transformer Network for Utterance-level Emotion Recognition
    QingBiao Li, ChunHua Wu, KangFeng Zheng, Zhe Wang
    http://arxiv.org/abs/2002.07551v1

    • [cs.CL]Improving Multi-Turn Response Selection Models with Complementary Last-Utterance Selection by Instance Weighting
    Kun Zhou, Wayne Xin Zhao, Yutao Zhu, Ji-Rong Wen, Jingsong Yu
    http://arxiv.org/abs/2002.07397v1

    • [cs.CL]Learning by Semantic Similarity Makes Abstractive Summarization Better
    Wonjin Yoon, Yoon Sun Yeo, Minbyul Jeong, Bong-Jun Yi, Jaewoo Kang
    http://arxiv.org/abs/2002.07767v1

    • [cs.CL]Neural Machine Translation with Joint Representation
    Yanyang Li, Qiang Wang, Tong Xiao, Tongran Liu, Jingbo Zhu
    http://arxiv.org/abs/2002.06546v2

    • [cs.CL]Neural Relation Prediction for Simple Question Answering over Knowledge Graph
    Amin Abolghasemi, Saeedeh Momtazi
    http://arxiv.org/abs/2002.07715v1

    • [cs.CL]Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue
    Byeongchang Kim, Jaewoo Ahn, Gunhee Kim
    http://arxiv.org/abs/2002.07510v1

    • [cs.CL]Text Classification with Lexicon from PreAttention Mechanism
    QingBiao LI, Chunhua Wu, Kangfeng Zheng
    http://arxiv.org/abs/2002.07591v1

    • [cs.CR]An Efficient Permissioned Blockchain Model with Provable Reputation Mechanism
    Hongyin Chen, Zhaohua Chen, Yukun Cheng, Xiaotie Deng, Wenhan Huang, Jichen Li, Hongyi Ling, Mengqian Zhang
    http://arxiv.org/abs/2002.06852v2

    • [cs.CR]Expected Linear Round Synchronization: The Missing Link for Linear Byzantine SMR
    Oded Naor, Idit Keidar
    http://arxiv.org/abs/2002.07539v1

    • [cs.CR]Mind Your Weight(s): A Large-scale Study on Insufficient Machine Learning Model Protection in Mobile Apps
    Zhichuang Sun, Ruimin Sun, Long Lu
    http://arxiv.org/abs/2002.07687v1

    • [cs.CR]Poster Abstract: Towards Scalable and Trustworthy Decentralized Collaborative Intrusion Detection System for IoT
    Guntur Dharma Putra, Volkan Dedeoglu, Salil S Kanhere, Raja Jurdak
    http://arxiv.org/abs/2002.07512v1

    • [cs.CR]ROBin: Known-Plaintext Attack Resistant Orthogonal Blinding via Channel Randomization
    Yanjun Pan, Yao Zheng, Ming Li
    http://arxiv.org/abs/2002.07355v1

    • [cs.CR]Secure Status Updates under Eavesdropping: Age of Information-based Physical Layer Security Metrics
    He Chen, Qian Wang, Parthajit Mohapatra, Nikolaos Pappas
    http://arxiv.org/abs/2002.07340v1

    • [cs.CV]3D Gated Recurrent Fusion for Semantic Scene Completion
    Yu Liu, Jie Li, Qingsen Yan, Xia Yuan, Chunxia Zhao, Ian Reid, Cesar Cadena
    http://arxiv.org/abs/2002.07269v1

    • [cs.CV]Computational optimization of convolutional neural networks using separated filters architecture
    Elena Limonova, Alexander Sheshkus, Dmitry Nikolaev
    http://arxiv.org/abs/2002.07754v1

    • [cs.CV]Constraining Temporal Relationship for Action Localization
    Peisen Zhao, Lingxi Xie, Chen Ju, Ya Zhang, Qi Tian
    http://arxiv.org/abs/2002.07358v1

    • [cs.CV]DivideMix: Learning with Noisy Labels as Semi-supervised Learning
    Junnan Li, Richard Socher, Steven C. H. Hoi
    http://arxiv.org/abs/2002.07394v1

    • [cs.CV]Dual-Attention GAN for Large-Pose Face Frontalization
    Yu Yin, Songyao Jiang, Joseph P. Robinson, Yun Fu
    http://arxiv.org/abs/2002.07227v1

    • [cs.CV]EHSOD: CAM-Guided End-to-end Hybrid-Supervised Object Detection with Cascade Refinement
    Linpu Fang, Hang Xu, Zhili Liu, Sarah Parisot, Zhenguo Li
    http://arxiv.org/abs/2002.07421v1

    • [cs.CV]FeatureNMS: Non-Maximum Suppression by Learning Feature Embeddings
    Niels Ole Salscheider
    http://arxiv.org/abs/2002.07662v1

    • [cs.CV]Few-Shot Few-Shot Learning and the role of Spatial Attention
    Yann Lifchitz, Yannis Avrithis, Sylvaine Picard
    http://arxiv.org/abs/2002.07522v1

    • [cs.CV]High-Order Paired-ASPP Networks for Semantic Segmenation
    Yu Zhang, Xin Sun, Junyu Dong, Changrui Chen, Yue Shen
    http://arxiv.org/abs/2002.07371v1

    • [cs.CV]Key Points Estimation and Point Instance Segmentation Approach for Lane Detection
    Yeongmin Ko, Jiwon Jun, Donghwuy Ko, Moongu Jeon
    http://arxiv.org/abs/2002.06604v2

    • [cs.CV]Knowledge Integration Networks for Action Recognition
    Shiwen Zhang, Sheng Guo, Limin Wang, Weilin Huang, Matthew R. Scott
    http://arxiv.org/abs/2002.07471v1

    • [cs.CV]MAST: A Memory-Augmented Self-supervised Tracker
    Zihang Lai, Erika Lu, Weidi Xie
    http://arxiv.org/abs/2002.07793v1

    • [cs.CV]Multi-Task Learning from Videos via Efficient Inter-Frame Attention
    Donghyun Kim, Tian Lan, Chuhang Zou, Ning Xu, Bryan A. Plummer, Stan Sclaroff, Jayan Eledath, Gerard Medioni
    http://arxiv.org/abs/2002.07362v1

    • [cs.CV]Multilinear Compressive Learning with Prior Knowledge
    Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
    http://arxiv.org/abs/2002.07203v1

    • [cs.CV]Neural arbitrary style transfer for portrait images using the attention mechanism
    S. A. Berezin, V. M. Volkova
    http://arxiv.org/abs/2002.07643v1

    • [cs.CV]Registration of multi-view point sets under the perspective of expectation-maximization
    Jihua Zhu, Jing Zhang, Zhongyu Li
    http://arxiv.org/abs/2002.07464v1

    • [cs.CV]Towards Bounding-Box Free Panoptic Segmentation
    Ujwal Bonde, Pablo F. Alcantarilla, Stefan Leutenegger
    http://arxiv.org/abs/2002.07705v1

    • [cs.CV]V4D:4D Convolutional Neural Networks for Video-level Representation Learning
    Shiwen Zhang, Sheng Guo, Weilin Huang, Matthew R. Scott, Limin Wang
    http://arxiv.org/abs/2002.07442v1

    • [cs.CV]Voxel-Based Indoor Reconstruction From HoloLens Triangle Meshes
    P. Hübner, M. Weinmann, S. Wursthorn
    http://arxiv.org/abs/2002.07689v1

    • [cs.CY]Artificial Intelligent Ethics in the Digital Era: an Engineering Ethical Framework Proposal
    Esteban García-Cuesta
    http://arxiv.org/abs/2002.07734v1

    • [cs.CY]Relationship between the visibility of political leaders during campaign and the outcome in general elections. A case study for Spain
    J. Estevez, JJ. Dominguez, M. Graña
    http://arxiv.org/abs/2002.07768v1

    • [cs.CY]The didactic potential of virtual information educational environment as a tool of geography students training
    Olga Bondarenko, Olena Pakhomova, Wlodzimierz Lewoniewski
    http://arxiv.org/abs/2002.07473v1

    • [cs.DC]A Scalable Method for Scheduling Distributed Energy Resources using Parallelized Population-based Metaheuristics
    Hatem Khalloof, Wilfried Jakob, Shadi Shahoud, Clemens Duepmeier, Veit Hagenmeyer
    http://arxiv.org/abs/2002.07505v1

    • [cs.DC]Constructive expressive power of population protocols
    Mikhail Raskin
    http://arxiv.org/abs/2002.07303v1

    • [cs.DC]Decentralized Validation for Non-malicious Arbitrary Fault Tolerance in Paxos
    Rodrigo R. Barbieri, Enrique S. dos Santos, Gustavo M. D. Vieira
    http://arxiv.org/abs/2002.07509v1

    • [cs.DC]Distributed Maximum Matching Verification in CONGEST
    Mohamad Ahmadi, Fabian Kuhn
    http://arxiv.org/abs/2002.07649v1

    • [cs.DC]Distributed graph problems through an automata-theoretic lens
    Yi-Jun Chang, Jan Studený, Jukka Suomela
    http://arxiv.org/abs/2002.07659v1

    • [cs.DC]Flow: Separating Consensus and Compute — Block Formation and Execution
    Alexander Hentschel, Yahya Hassanzadeh-Nazarabadi, Ramtin Seraj, Dieter Shirley, Layne Lafrance
    http://arxiv.org/abs/2002.07403v1

    • [cs.DC]MARVEL: A Decoupled Model-driven Approach for Efficiently Mapping Convolutions on Spatial DNN Accelerators
    Prasanth Chatarasi, Hyoukjun Kwon, Natesh Raina, Saurabh Malik, Vaisakh Haridas, Tushar Krishna, Vivek Sarkar
    http://arxiv.org/abs/2002.07752v1

    • [cs.DC]STANNIS: Low-Power Acceleration of Deep NeuralNetwork Training Using Computational Storage
    Ali HeydariGorji, Mahdi Torabzadehkashi, Siavash Rezaei, Hossein Bobarshad, Vladimir Alves, Pai H. Chou
    http://arxiv.org/abs/2002.07215v1

    • [cs.DC]SURFACE: A Practical Blockchain Consensus Algorithm for Real-World Networks
    Zhijie Ren, Ziheng Zhou
    http://arxiv.org/abs/2002.07565v1

    • [cs.DC]Scheduling periodic messages on a shared link
    Maël Guiraud, Yann Strozecki
    http://arxiv.org/abs/2002.07606v1

    • [cs.DC]Structural Invariants for the Verification of Systems with Parameterized Architectures
    Marius Bozga, Javier Esparza, Radu Iosif, Joseph Sifakis, Christoph Welzel
    http://arxiv.org/abs/2002.07672v1

    • [cs.DC]Verified Instruction-Level Energy Consumption Measurement for NVIDIA GPUs
    Yehia Arafa, Ammar ElWazir, Abdelrahman ElKanishy, Youssef Aly, Ayatelrahman Elsayed, Abdel-Hameed Badawy, Gopinath Chennupati, Stephan Eidenbenz, Nandakishore Santhi
    http://arxiv.org/abs/2002.07795v1

    • [cs.DM]Cover Combinatorial Filters and their Minimization Problem
    Yulin Zhang, Dylan A. Shell
    http://arxiv.org/abs/2002.07153v1

    • [cs.DM]Generating random bigraphs with preferential attachment
    Dominik Grzelak, Barbara Priwitzer, Uwe Aßmann
    http://arxiv.org/abs/2002.07448v1

    • [cs.DS]Computing the k Densest Subgraphs of a Graph
    Riccardo Dondi, Danny Hermelin
    http://arxiv.org/abs/2002.07695v1

    • [cs.DS]Coreset-based Strategies for Robust Center-type Problems
    Andrea Pietracaprina, Geppino Pucci, Federico Soldà
    http://arxiv.org/abs/2002.07463v1

    • [cs.DS]Dynamic Graph Algorithms with Batch Updates in the Massively Parallel Computation Model
    Krzysztof Nowicki, Krzysztof Onak
    http://arxiv.org/abs/2002.07800v1

    • [cs.DS]How to Solve Fair $k$-Center in Massive Data Models
    Ashish Chiplunkar, Sagar Kale, Sivaramakrishnan Natarajan Ramamoorthy
    http://arxiv.org/abs/2002.07682v1

    • [cs.DS]k-means++: few more steps yield constant approximation
    Davin Choo, Christoph Grunau, Julian Portmann, Václav Rozhoň
    http://arxiv.org/abs/2002.07784v1

    • [cs.FL]Decidability of cutpoint isolation for letter-monotonic probabilistic finite automata
    Paul C. Bell, Pavel Semukhin
    http://arxiv.org/abs/2002.07660v1

    • [cs.FL]Synthesis in Presence of Dynamic Links
    Béatrice Bérard, Benedikt Bollig, Patricia Bouyer, Matthias Függer, Nathalie Sznajder
    http://arxiv.org/abs/2002.07545v1

    • [cs.GT]The Complexity of Interactively Learning a Stable Matching by Trial and Error
    Ehsan Emamjomeh-Zadeh, Yannai A. Gonczarowski, David Kempe
    http://arxiv.org/abs/2002.07363v1

    • [cs.HC]Decoding pedestrian and automated vehicle interactions using immersive virtual reality and interpretable deep learning
    Arash Kalatian, Bilal Farooq
    http://arxiv.org/abs/2002.07325v1

    • [cs.IR]Investigating Potential Factors Associated with Gender Discrimination in Collaborative Recommender Systems
    Masoud Mansoury, Himan Abdollahpouri, Jessie Smith, Arman Dehpanah, Mykola Pechenizkiy, Bamshad Mobasher
    http://arxiv.org/abs/2002.07786v1

    • [cs.IT]Fundamental Limits of Wireless Caching Under Mixed Cacheable and Uncacheable Traffic
    Hamdi Joudeh, Eleftherios Lampiris, Petros Elia, Giuseppe Caire
    http://arxiv.org/abs/2002.07691v1

    • [cs.IT]GCSA Codes with Noise Alignment for Secure Coded Multi-Party Batch Matrix Multiplication
    Zhen Chen, Zhuqing Jia, Zhiying Wang, Syed A. Jafar
    http://arxiv.org/abs/2002.07750v1

    • [cs.IT]Golay Layer: Limiting Peak-to-Average Power Ratio for OFDM-based Autoencoders
    Alphan Sahin, David W. Matolak
    http://arxiv.org/abs/2002.07701v1

    • [cs.IT]How incomputable is Kolmogorov complexity?
    Paul Vitanyi, CWI, University of Amsterdam
    http://arxiv.org/abs/2002.07674v1

    • [cs.IT]Impact of Fountain Codes on GPRS channels
    Mohammed Usman, John Dunlop
    http://arxiv.org/abs/2002.07374v1

    • [cs.IT]Information Theory as a Means of Determining the Main Factors Affecting the Processors Architecture
    Anton Rakitskiy, Boris Ryabko
    http://arxiv.org/abs/2002.07271v1

    • [cs.IT]Joint Frame Design and Resource Allocation for Ultra-Reliable and Low-Latency Vehicular Networks
    Haojun Yang, Kuan Zhang, Kan Zheng, Yi Qian
    http://arxiv.org/abs/2002.07341v1

    • [cs.IT]Leveraging Linear Quadratic Regulator Cost and Energy Consumption for Ultra-Reliable and Low-Latency IoT Control Systems
    Haojun Yang, Kuan Zhang, Kan Zheng, Yi Qian
    http://arxiv.org/abs/2002.07354v1

    • [cs.IT]Performance Analysis of Quantized Uplink Massive MIMO-OFDM With Oversampling Under Adjacent Channel Interference
    Ali Bulut Üçüncü, Emil Björnson, Håkan Johansson, Erik G. Larsson, Ali Özgür Yılmaz
    http://arxiv.org/abs/2002.07594v1

    • [cs.IT]Performance Trade-off Between Uplink and Downlink in Full-Duplex Communications
    Ata Khalili, Mohammad Robat Mili, Derrick Wing Kwan Ng
    http://arxiv.org/abs/2002.07406v1

    • [cs.IT]Rate Splitting for Multi-Antenna Downlink: Precoder Design and Practical Implementation
    Zheng Li, Chencheng
    1000
    Ye, Ying Cui, Sheng Yang, Shlomo Shamai
    http://arxiv.org/abs/2002.07225v1

    • [cs.IT]Vector Gaussian Successive Refinement With Degraded Side Information
    Yinfei Xu, Xuan Guang, Jian Lu, Jun Chen
    http://arxiv.org/abs/2002.07324v1

    • [cs.LG]A Computationally Efficient Neural Network Invariant to the Action of Symmetry Subgroups
    Piotr Kicki, Mete Ozay, Piotr Skrzypczyński
    http://arxiv.org/abs/2002.07528v1

    • [cs.LG]A Lagrangian Approach to Information Propagation in Graph Neural Networks
    Matteo Tiezzi, Giuseppe Marra, Stefano Melacci, Marco Maggini, Marco Gori
    http://arxiv.org/abs/2002.07684v1

    • [cs.LG]A Modified Perturbed Sampling Method for Local Interpretable Model-agnostic Explanation
    Sheng Shi, Xinfeng Zhang, Wei Fan
    http://arxiv.org/abs/2002.07434v1

    • [cs.LG]A Resolution in Algorithmic Fairness: Calibrated Scores for Fair Classifications
    Claire Lazar, Suhas Vijaykumar
    http://arxiv.org/abs/2002.07676v1

    • [cs.LG]A flexible outlier detector based on a topology given by graph communities
    O. Ramos Terrades, A. Berenguel, D. Gil
    http://arxiv.org/abs/2002.07791v1

    • [cs.LG]Adaptive Estimator Selection for Off-Policy Evaluation
    Yi Su, Pavithra Srinath, Akshay Krishnamurthy
    http://arxiv.org/abs/2002.07729v1

    • [cs.LG]Adaptive Region-Based Active Learning
    Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang
    http://arxiv.org/abs/2002.07348v1

    • [cs.LG]Assessing the Memory Ability of Recurrent Neural Networks
    Cheng Zhang, Qiuchi Li, Lingyu Hua, Dawei Song
    http://arxiv.org/abs/2002.07422v1

    • [cs.LG]Conditional Mutual information-based Contrastive Loss for Financial Time Series Forecasting
    Hanwei Wu, Ather Gattami, Markus Flierl
    http://arxiv.org/abs/2002.07638v1

    • [cs.LG]Controlled time series generation for automotive software-in-the-loop testing using GANs
    Dhasarathy Parthasarathy, Karl Bäckström, Jens Henriksson, Sólrún Einarsdóttir
    http://arxiv.org/abs/2002.06611v2

    • [cs.LG]Correlation-aware Deep Generative Model for Unsupervised Anomaly Detection
    Haoyi Fan, Fengbin Zhang, Ruidong Wang, Liang Xi, Zuoyong, Li
    http://arxiv.org/abs/2002.07349v1

    • [cs.LG]Deep Neural Networks for the Correction of Mie Scattering in Fourier-Transformed Infrared Spectra of Biological Samples
    Arne P. Raulf, Joshua Butke, Lukas Menzen, Claus Küpper, Frederik Großerueschkamp, Klaus Gerwert, Axel Mosig
    http://arxiv.org/abs/2002.07681v1

    • [cs.LG]Deflecting Adversarial Attacks
    Yao Qin, Nicholas Frosst, Colin Raffel, Garrison Cottrell, Geoffrey Hinton
    http://arxiv.org/abs/2002.07405v1

    • [cs.LG]Differentiable Top-k Operator with Optimal Transport
    Yujia Xie, Hanjun Dai, Minshuo Chen, Bo Dai, Tuo Zhao, Hongyuan Zha, Wei Wei, Tomas Pfister
    http://arxiv.org/abs/2002.06504v2

    • [cs.LG]Distributed Optimization over Block-Cyclic Data
    Yucheng Ding, Chaoyue Niu, Yikai Yan, Zhenzhe Zheng, Fan Wu, Guihai Chen, Shaojie Tang, Rongfei Jia
    http://arxiv.org/abs/2002.07454v1

    • [cs.LG]Evolutionary Optimization of Deep Learning Activation Functions
    Garrett Bingham, William Macke, Risto Miikkulainen
    http://arxiv.org/abs/2002.07224v1

    • [cs.LG]Failout: Achieving Failure-Resilient Inference in Distributed Neural Networks
    Ashkan Yousefpour, Brian Q. Nguyen, Siddartha Devic, Guanhua Wang, Aboudy Kreidieh, Hans Lobel, Alexandre M. Bayen, Jason P. Jue
    http://arxiv.org/abs/2002.07386v1

    • [cs.LG]Federated Extra-Trees with Privacy Preserving
    Yang Liu, Mingxin Chen, Wenxi Zhang, Junbo Zhang, Yu Zheng
    http://arxiv.org/abs/2002.07323v1

    • [cs.LG]GACEM: Generalized Autoregressive Cross Entropy Method for Multi-Modal Black Box Constraint Satisfaction
    Kourosh Hakhamaneshi, Keertana Settaluri, Pieter Abbeel, Vladimir Stojanovic
    http://arxiv.org/abs/2002.07236v1

    • [cs.LG]Generalized Neural Policies for Relational MDPs
    Sankalp Garg, Aniket Bajpai, Mausam
    http://arxiv.org/abs/2002.07375v1

    • [cs.LG]Gradient $\ell_1$ Regularization for Quantization Robustness
    Milad Alizadeh, Arash Behboodi, Mart van Baalen, Christos Louizos, Tijmen Blankevoort, Max Welling
    http://arxiv.org/abs/2002.07520v1

    • [cs.LG]Hierarchical Correlation Clustering and Tree Preserving Embedding
    Morteza Haghir Chehreghani
    http://arxiv.org/abs/2002.07756v1

    • [cs.LG]Identifying Critical Neurons in ANN Architectures using Mixed Integer Programming
    Mostafa ElAraby, Guy Wolf, Margarida Carvalho
    http://arxiv.org/abs/2002.07259v1

    • [cs.LG]Improved Optimistic Algorithms for Logistic Bandits
    Louis Faury, Marc Abeille, Clément Calauzènes, Olivier Fercoq
    http://arxiv.org/abs/2002.07530v1

    • [cs.LG]Individual Fairness Revisited: Transferring Techniques from Adversarial Robustness
    Samuel Yeom, Matt Fredrikson
    http://arxiv.org/abs/2002.07738v1

    • [cs.LG]Investigating Extensions to Random Walk Based Graph Embedding
    Joerg Schloetterer, Martin Wehking, Fatemeh Salehi Rizi, Michael Granitzer
    http://arxiv.org/abs/2002.07252v1

    • [cs.LG]Kalman meets Bellman: Improving Policy Evaluation through Value Tracking
    Shirli Di-Castro Shashua, Shie Mannor
    http://arxiv.org/abs/2002.07171v1

    • [cs.LG]Langevin DQN
    Vikranth Dwaracherla, Benjamin Van Roy
    http://arxiv.org/abs/2002.07282v1

    • [cs.LG]Learning Bijective Feature Maps for Linear ICA
    Alexander Camuto, Matthew Willetts, Brooks Paige, Chris Holmes, Stephen Roberts
    http://arxiv.org/abs/2002.07766v1

    • [cs.LG]Learning Parities with Neural Networks
    Amit Daniely, Eran Malach
    http://arxiv.org/abs/2002.07400v1

    • [cs.LG]Learning Robust Representations via Multi-View Information Bottleneck
    Marco Federici, Anjan Dutta, Patrick Forré, Nate Kushman, Zeynep Akata
    http://arxiv.org/abs/2002.07017v2

    • [cs.LG]Local Propagation in Constraint-based Neural Network
    Giuseppe Marra, Matteo Tiezzi, Stefano Melacci, Alessandro Betti, Marco Maggini, Marco Gori
    http://arxiv.org/abs/2002.07720v1

    • [cs.LG]MapLUR: Exploring a new Paradigm for Estimating Air Pollution using Deep Learning on Map Images
    Michael Steininger, Konstantin Kobs, Albin Zehe, Florian Lautenschlager, Martin Becker, Andreas Hotho
    http://arxiv.org/abs/2002.07493v1

    • [cs.LG]Neural Attentive Multiview Machines
    Oren Barkan, Ori Katz, Noam Koenigstein
    http://arxiv.org/abs/2002.07696v1

    • [cs.LG]On the Discrepancy between Density Estimation and Sequence Generation
    Jason Lee, Dustin Tran, Orhan Firat, Kyunghyun Cho
    http://arxiv.org/abs/2002.07233v1

    • [cs.LG]On the Matrix-Free Generation of Adversarial Perturbations for Black-Box Attacks
    Hisaichi Shibata, Shouhei Hanaoka, Yukihiro Nomura, Naoto Hayashi, Osamu Abe
    http://arxiv.org/abs/2002.07317v1

    • [cs.LG]Picking Winning Tickets Before Training by Preserving Gradient Flow
    Chaoqi Wang, Guodong Zhang, Roger Grosse
    http://arxiv.org/abs/2002.07376v1

    • [cs.LG]Ripple Walk Training: A Subgraph-based training framework for Large and Deep Graph Neural Network
    Jiyang Bai, Yuxiang Ren, Jiawei Zhang
    http://arxiv.org/abs/2002.07206v1

    • [cs.LG]Robust Quantization: One Model to Rule Them All
    Moran Shkolnik, Brian Chmiel, Ron Banner, Gil Shomron, Yuri Nahshan, Alex Bronstein, Uri Weiser
    http://arxiv.org/abs/2002.07686v1

    • [cs.LG]Robust Stochastic Bandit Algorithms under Probabilistic Unbounded Adversarial Attack
    Ziwei Guan, Kaiyi Ji, Donald J Bucci Jr, Timothy Y Hu, Joseph Palombo, Michael Liston, Yingbin Liang
    http://arxiv.org/abs/2002.07214v1

    • [cs.LG]Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs
    Han Yang, Xiao Yan, Xinyan Dai, James Cheng
    http://arxiv.org/abs/2002.07518v1

    • [cs.LG]The Tree Ensemble Layer: Differentiability meets Conditional Computation
    Hussein Hazimeh, Natalia Ponomareva, Petros Mol, Zhenyu Tan, Rahul Mazumder
    http://arxiv.org/abs/2002.07772v1

    • [cs.MA]Multi-Issue Bargaining With Deep Reinforcement Learning
    Ho-Chun Herbert Chang
    http://arxiv.org/abs/2002.07788v1

    • [cs.NE]Balancing reconstruction error and Kullback-Leibler divergence in Variational Autoencoders
    Andrea Asperti, Matteo Trentin
    http://arxiv.org/abs/2002.07514v1

    • [cs.NI]Network Slicing for Service-Oriented Networks with Flexible Routing and Guaranteed E2E Latency
    Wei-Kun Chen, Ya-Feng Liu, Antonio De Domenico, Zhi-Quan Luo
    http://arxiv.org/abs/2002.07380v1

    • [cs.PF]AIBench: An Agile Domain-specific Benchmarking Methodology and an AI Benchmark Suite
    Wanling Gao, Fei Tang, Jianfeng Zhan, Chuanxin Lan, Chunjie Luo, Lei Wang, Jiahui Dai, Zheng Cao, Xiongwang Xiong, Zihan Jiang, Tianshu Hao, Fanda Fan, Xu Wen, Fan Zhang, Yunyou Huang, Jianan Chen, Mengjia Du, Rui Ren, Chen Zheng, Daoyi Zheng, Haoning Tang, Kunlin Zhan, Biao Wang, Defei Kong, Minghe Yu, Chongkang Tan, Huan Li, Xinhui Tian, Yatao Li, Gang Lu, Junchao Shao, Zhenyu Wang, Xiaoyu Wang, Hainan Ye
    http://arxiv.org/abs/2002.07162v1

    • [cs.RO]A Spiking Neural Network Emulating the Structure of the Oculomotor System Requires No Learning to Control a Biomimetic Robotic Head
    Praveenram Balachandar, Konstantinos P. Michmizos
    http://arxiv.org/abs/2002.07534v1

    • [cs.RO]DISCO: Double Likelihood-free Inference Stochastic Control
    Lucas Barcelos, Rafael Oliveira, Rafael Possas, Lionel Ott, Fabio Ramos
    http://arxiv.org/abs/2002.07379v1

    • [cs.RO]Improving Tracking through Human-Robot Sensory Augmentation
    Yanan Li, Jonathan Eden, Gerolamo Carboni, Etienne Burdet
    http://arxiv.org/abs/2002.07293v1

    • [cs.RO]Machine Learning for Motor Learning: EEG-based Continuous Assessment of Cognitive Engagement for Adaptive Rehabilitation Robots
    Neelesh Kumar, Konstantinos P. Michmizos
    http://arxiv.org/abs/2002.07541v1

    • [cs.RO]On sensing-aware model predictive path-following control for a reversing general 2-trailer with a car-like tractor
    Oskar Ljungqvist, Daniel Axehill, Henrik Pettersson
    http://arxiv.org/abs/2002.06874v2

    • [cs.RO]Spatial Concept-Based Navigation with Human Speech Instructions via Probabilistic Inference on Bayesian Generative Model
    Akira Taniguchi, Yoshinobu Hagiwara, Tadahiro Taniguchi, Tetsunari Inamura
    http://arxiv.org/abs/2002.07381v1

    • [cs.SI]A Model to Measure the Spread Power of Rumors
    Zoleikha Jahanbakhsh-Nagadeh, Mohammad-Reza Feizi-Derakhshi, Majid Ramezani, Taymaz Rahkar-Farshi, Meysam Asgari-Chenaghlu, Narjes Nikzad-Khasmakhi, Ali-Reza Feizi-Derakhshi, Mehrdad Ranjbar-Khadivi, Elnaz Zafarani-Moattar, Mohammad-Ali Balafar
    http://arxiv.org/abs/2002.07563v1

    • [cs.SI]Adversarial Deep Network Embedding for Cross-network Node Classification
    Xiao Shen, Quanyu Dai, Fu-lai Chung, Wei Lu, Kup-Sze Choi
    http://arxiv.org/abs/2002.07366v1

    • [cs.SI]Extracting hierarchical backbones from bipartite networks
    Woo Seong Jo, Jaehyuk Park, Arthur Luhur, Beom Jun Kim, Yong-Yeol Ahn
    http://arxiv.org/abs/2002.07239v1

    • [cs.SI]How Impersonators Exploit Instagram to Generate Fake Engagement?
    Koosha Zarei, Reza Farahbakhsh, Noel Crespi
    http://arxiv.org/abs/2002.07173v1

    • [cs.SI]Modeling Citation Trajectories of Scientific Papers
    Dattatreya Mohapatra, Siddharth Pal, Soham De, Ponnurangam Kumaraguru, Tanmoy Chakraborty
    http://arxiv.org/abs/2002.06628v2

    • [cs.SI]Tie Strength in Online Social Networks and its Applications: A Brief Study
    Chandni Saxena, Tanvir Ahmad
    http://arxiv.org/abs/2002.07608v1

    • [econ.EM]Double/Debiased Machine Learning for Dynamic Treatment Effects
    Greg Lewis, Vasilis Syrgkanis
    http://arxiv.org/abs/2002.07285v1

    • [econ.TH]Fair Prediction with Endogenous Behavior
    Christopher Jung, Sampath Kannan, Changhwa Lee, Mallesh M. Pai, Aaron Roth, Rakesh Vohra
    http://arxiv.org/abs/2002.07147v1

    • [eess.AS]Multi-Task Siamese Neural Network for Improving Replay Attack Detection
    Patrick von Platen, Fei Tao, Gokhan Tur
    http://arxiv.org/abs/2002.07629v1

    • [eess.IV]Automated Cardiothoracic Ratio Calculation and Cardiomegaly Detection using Deep Learning Approach
    Isarun Chamveha, Treethep Promwiset, Trongtum Tongdee, Pairash Saiviroonporn, Warasinee Chaisangmongkon
    http://arxiv.org/abs/2002.07468v1

    • [eess.IV]Camera Model Anonymisation with Augmented cGANs
    Jerone T. A. Andrews, Yidan Zhang, Lewis D. Griffin
    http://arxiv.org/abs/2002.07798v1

    • [eess.IV]Deep Learning in Medical Ultrasound Image Segmentation: a Review
    Ziyang Wang
    http://arxiv.org/abs/2002.07703v1

    • [eess.IV]Image Entropy for Classification and Analysis of Pathology Slides
    Steven J. Frank
    http://arxiv.org/abs/2002.07621v1

    • [eess.IV]Motion Deblurring using Spatiotemporal Phase Aperture Coding
    Shay Elmalem, Raja Giryes, Emanuel Marom
    http://arxiv.org/abs/2002.07483v1

    • [eess.IV]NoiseBreaker: Gradual Image Denoising Guided by Noise Analysis
    Florian Lemarchand, Erwan Nogues, Maxime Pelcat
    http://arxiv.org/abs/2002.07487v1

    • [eess.SP]Bit Error Rate Analysis of M-ARY PSK and M-ARY QAM Over Rician Fading Channel
    Subrato Bharati, Mohammad Atikur Rahman, Prajoy Podder, Muhammad Ashiqul Islam, Mohammad Hossain
    http://arxiv.org/abs/2002.07392v1

    • [eess.SP]Intelligent and Reconfigurable Architecture for KL Divergence Based Online Machine Learning Algorithm
    S. V. Sai Santosh, Sumit J. Darak
    http://arxiv.org/abs/2002.07713v1

    • [eess.SP]Restricted Structural Random Matrix for Compressive Sensing
    Thuong Nguyen Canh, Byeungwoo Jeon
    http://arxiv.org/abs/2002.07346v1

    • [eess.SP]Wireless Power Control via Counterfactual Optimization of Graph Neural Networks
    Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro
    http://arxiv.org/abs/2002.07631v1

    • [math.CO]Codes with few weights arising from linear sets
    Vito Napolitano, Ferdinando Zullo
    http://arxiv.org/abs/2002.07241v1

    • [math.HO]Elitism in Mathematics and Inequality
    Ho-Chun Herbert Chang, Feng Fu
    http://arxiv.org/abs/2002.07789v1

    • [math.OC]A Distributionally Robust Area Under Curve Maximization Model
    Wenbo Ma, Miguel A. Lejeune
    http://arxiv.org/abs/2002.07345v1

    • [math.OC]Algorithms for Hiring and Outsourcing in the Online Labor Market
    Aris Anagnostopoulos, Carlos Castillo, Adriano Fazzone, Stefano Leonardi, Evimaria Terzi
    http://arxiv.org/abs/2002.07618v1

    • [math.OC]Constrained Multiagent Rollout and Multidimensional Assignment with the Auction Algorithm
    Dimitri Bertsekas
    http://arxiv.org/abs/2002.07407v1

    • [math.OC]D2C 2.0: Decoupled Data-Based Approach for Learning to Control Stochastic Nonlinear Systems via Model-Free ILQR
    Karthikeya S Parunandi, Aayushman Sharma, Suman Chakravorty, Dileep Kalathil
    http://arxiv.org/abs/2002.07368v1

    • [math.OC]Distributed Adaptive Newton Methods with Globally Superlinear Convergence
    Jiaqi Zhang, Keyou You, Tamer Başar
    http://arxiv.org/abs/2002.07378v1

    • [math.OC]Network Theoretic Analysis of Maximum a Posteriori Detectors for Sensor Analysis and Design
    Rajasekhar Anguluri, Vaibhav Katewa, Sandip Roy, Fabio Pasqualetti
    http://arxiv.org/abs/2002.07673v1

    • [math.OC]Stochastic Gauss-Newton Algorithms for Nonconvex Compositional Optimization
    Quoc Tran-Dinh, Nhan H. Pham, Lam M. Nguyen
    http://arxiv.org/abs/2002.07290v1

    • [math.PR]Estimating processes in adapted Wasserstein distance
    Julio Backhoff, Daniel Bartl, Mathias Beiglböck, Johannes Wiesel
    http://arxiv.org/abs/2002.07261v1

    • [math.PR]Transmission and navigation on disordered lattice networks, directed spanning forests and scaling limits
    Subhroshekhar Ghosh, Kumarjit Saha
    http://arxiv.org/abs/2002.06898v1

    • [math.ST]Adaptive minimax testing in inverse Gaussian sequence space models
    Sandra Schluttenhofer, Jan Johannes
    http://arxiv.org/abs/2002.07623v1

    • [math.ST]Asymptotic properties of Bernstein estimators on the simplex
    Frédéric Ouimet
    http://arxiv.org/abs/2002.07758v1

    • [math.ST]Consistency of $\ell _{1}$ Penalized Negative Binomial Regressions
    Fang Xie, Zhijie Xiao
    http://arxiv.org/abs/2002.07441v1

    • [math.ST]Estimating the Penalty Level of $\ell_{1}$-minimization via Two Gaussian Approximation Methods
    Fang Xie
    http://arxiv.org/abs/2002.07433v1

    • [math.ST]Extremal independence old and new
    Kirstin Strokorb
    http://arxiv.org/abs/2002.07808v1

    • [math.ST]Foundations of Structural Statistics: Statistical Manifolds
    Patrick Michl
    http://arxiv.org/abs/2002.07424v1

    • [math.ST]Optimal Structured Principal Subspace Estimation: Metric Entropy and Minimax Rates
    T. Tony Cai, Hongzhe Li, Rong Ma
    http://arxiv.org/abs/2002.07624v1

    • [math.ST]Sharp Asymptotics and Optimal Performance for Inference in Binary Models
    Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
    http://arxiv.org/abs/2002.07284v1

    • [math.ST]Stabilities of Shape Identification Inverse Problems in a Bayesian Framework
    Hajime Kawakami
    http://arxiv.org/abs/2002.07337v1

    • [physics.chem-ph]Combining SchNet and SHARC: The SchNarc machine learning approach for excited-state dynamics
    Julia Westermayr, Michael Gastegger, Philipp Marquetand
    http://arxiv.org/abs/2002.07264v1

    • [physics.med-ph]Surrogate-free machine learning-based organ dose reconstruction for pediatric abdominal radiotherapy
    M. Virgolin, Z. Wang, B. V. Balgobind, I. W. E. M. van Dijk, J. Wiersma, P. S. Kroon, G. O. Janssens, M. van Herk, D. C. Hodgson, L. Zadravec Zaletel, C. R. N. Rasch, A. Bel, P. A. N. Bosman, T. Alderliesten
    http://arxiv.org/abs/2002.07161v1

    • [physics.soc-ph]Latent Poisson models for networks with heterogeneous density
    Tiago P. Peixoto
    http://arxiv.org/abs/2002.07803v1

    • [q-bio.CB]Hierarchical Classification of Enzyme Promiscuity Using Positive, Unlabeled, and Hard Negative Examples
    Gian Marco Visani, Michael C. Hughes, Soha Hassoun
    http://arxiv.org/abs/2002.07327v1

    • [q-bio.NC]The Mathematical Structure of Integrated Information Theory
    Johannes Kleiner, Sean Tull
    http://arxiv.org/abs/2002.07655v1

    • [q-fin.GN]ESG investments: Filtering versus machine learning approaches
    Carmine de Franco, Christophe Geissler, Vincent Margot, Bruno Monnier
    http://arxiv.org/abs/2002.07477v1

    • [stat.AP]Estimating the travel time and the most likely path from Lagrangian drifters
    Michael O’Malley, Adam M. Sykulski, Romuald Laso-Jadart
    http://arxiv.org/abs/2002.07774v1

    • [stat.ME]A confidence interval robust to publication bias for random-effects meta-analysis of few studies
    M. Henmi, S. Hattori, T. Friede
    http://arxiv.org/abs/2002.07598v1

    • [stat.ME]Bayesian Quantile Factor Models
    Kelly C. M. Gonçalves, Afonso C. B. Silva
    http://arxiv.org/abs/2002.07242v1

    • [stat.ME]Nonparametric Bayesian Deconvolution of a Symmetric Unimodal Density
    Ya Su, Anirban Bhattacharya, Yan Zhang, Nilanjan Chatterjee, Raymond J. Carroll
    http://arxiv.org/abs/2002.07255v1

    • [stat.ME]Post-selection inference on high-dimensional varying-coefficient quantile regression model
    Ran Dai, Mladen Kolar
    http://arxiv.org/abs/2002.07370v1

    • [stat.ME]Quantum Implementation of Risk Analysis-relevant Copulas
    Janusz Milek
    http://arxiv.org/abs/2002.07389v1

    • [stat.ME]Thou Shalt Not Reject the $\textit{P}$-value
    Oliver Y. Chén, Raúl G. Saraiva, Guy Nagels, Huy Phan, Tom Schwantje, Hengyi Cao, Jiangtao Gou, Jenna M. Reinen, Bin Xiong, Maarten de Vos
    http://arxiv.org/abs/2002.07270v1

    • [stat.ML]A Neural Network Based on First Principles
    Paul M Baggenstoss
    http://arxiv.org/abs/2002.07469v1

    • [stat.ML]A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models
    Ziyu Wang, Shuyu Cheng, Yueru Li, Jun Zhu, Bo Zhang
    http://arxiv.org/abs/2002.07501v1

    • [stat.ML]Data Transformation Insights in Self-supervision with Clustering Tasks
    Abhimanu Kumar, Aniket Anand Deshmukh, Urun Dogan, Denis Charles, Eren Manavoglu
    http://arxiv.org/abs/2002.07384v1

    • [stat.ML]Decision-Making with Auto-Encoding Variational Bayes
    Romain Lopez, Pierre Boyeau, Nir Yosef, Michael I. Jordan, Jeffrey Regier
    http://arxiv.org/abs/2002.07217v1

    • [stat.ML]Deep Attention Spatio-Temporal Point Processes
    Shixiang Zhu, Minghe Zhang, Ruyi Ding, Yao Xie
    http://arxiv.org/abs/2002.07281v1

    • [stat.ML]Deep Gaussian Markov random fields
    Per Sidén, Fredrik Lindsten
    http://arxiv.org/abs/2002.07467v1

    • [stat.ML]Distributed Non-Convex Optimization with Sublinear Speedup under Intermittent Client Availability
    Yikai Yan, Chaoyue Niu, Yucheng Ding, Zhenzhe Zheng, Fan Wu, Guihai Chen, Shaojie Tang, Zhihua Wu
    http://arxiv.org/abs/2002.07399v1

    • [stat.ML]Distributional Sliced-Wasserstein and Applications to Generative Modeling
    Khai Nguyen, Nhat Ho, Tung Pham, Hung Bui
    http://arxiv.org/abs/2002.07367v1

    • [stat.ML]Estimating the number and effect sizes of non-null hypotheses
    Jennifer Brennan, Ramya Korlakai Vinayak, Kevin Jamieson
    http://arxiv.org/abs/2002.07297v1

    • [stat.ML]Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness
    Huijie Feng, Chunpeng Wu, Guoyang Chen, Weifeng Zhang, Yang Ning
    http://arxiv.org/abs/2002.07246v1

    • [stat.ML]Reinforcement Learning for Molecular Design Guided by Quantum Mechanics
    Gregor N. C. Simm, Robert Pinsler, José Miguel Hernández-Lobato
    http://arxiv.org/abs/2002.07717v1

    • [stat.ML]Statistically Efficient, Polynomial Time Algorithms for Combinatorial Semi Bandits
    Thibaut Cuvelier, Richard Combes, Eric Gourdin
    http://arxiv.org/abs/2002.07258v1

    • [stat.ML]Uncertainty in Structured Prediction
    Andrey Malinin, Mark Gales
    http://arxiv.org/abs/2002.07650v1