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.HC - 人机接口 cs.IT - 信息论 cs.LG - 自动学习 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.RO - 机器人学 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.CO - 组合数学 math.OC - 优化与控制 math.ST - 统计理论 physics.optics - 光学 physics.soc-ph - 物理学与社会 q-fin.MF - 数学金融 q-fin.ST - 统计金融学 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.IM]Deep Ensemble Analysis for Imaging X-ray Polarimetry
    • [astro-ph.IM]Detection of Gravitational Waves Using Bayesian Neural Networks
    • [cs.AI]Deep Reinforcement Learning and its Neuroscientific Implications
    • [cs.AI]Dung’s semantics satisfy attack removal monotonicity
    • [cs.AI]Reconciling Causality and Statistics
    • [cs.AI]TripMD: Driving patterns investigation via Motif Analysis
    • [cs.CL]Analysis of Predictive Coding Models for Phonemic Representation Learning in Small Datasets
    • [cs.CL]Audio-Visual Understanding of Passenger Intents for In-Cabin Conversational Agents
    • [cs.CL]Automatic Detection of Sexist Statements Commonly Used at the Workplace
    • [cs.CL]Best-First Beam Search
    • [cs.CL]Cross-lingual Inductive Transfer to Detect Offensive Language
    • [cs.CL]Evaluating German Transformer Language Models with Syntactic Agreement Tests
    • [cs.CL]Generalizing Tensor Decomposition for N-ary Relational Knowledge Bases
    • [cs.CL]ISA: An Intelligent Shopping Assistant
    • [cs.CL]Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion
    • [cs.CL]KQA Pro: A Large Diagnostic Dataset for Complex Question Answering over Knowledge Base
    • [cs.CL]Language Modeling with Reduced Densities
    • [cs.CL]Learning Neural Textual Representations for Citation Recommendation
    • [cs.CL]Research on multi-dimensional end-to-end phrase recognition algorithm based on background knowledge
    • [cs.CL]The curious case of developmental BERTology: On sparsity, transfer learning, generalization and the brain
    • [cs.CL]Unsupervised Online Grounding of Natural Language during Human-Robot Interactions
    • [cs.CR]Agile Approach for IT Forensics Management
    • [cs.CR]Open-Pub: A Transparent yet Privacy-Preserving Academic Publication System based on Blockchain
    • [cs.CV]3D Shape Reconstruction from Vision and Touch
    • [cs.CV]A Distilled Model for Tracking and Tracker Fusion
    • [cs.CV]A Free Viewpoint Portrait Generator with Dynamic Styling
    • [cs.CV]A Multi-Level Approach to Waste Object Segmentation
    • [cs.CV]A study of Neural networks point source extraction on simulated Fermi/LAT Telescope images
    • [cs.CV]Adaptive 3D Face Reconstruction from a Single Image
    • [cs.CV]Combating Domain Shift with Self-Taught Labeling
    • [cs.CV]Deformable spatial propagation network for depth completion
    • [cs.CV]Delving into the Adversarial Robustness on Face Recognition
    • [cs.CV]Detection as Regression: Certified Object Detection by Median Smoothing
    • [cs.CV]Dynamic Group Convolution for Accelerating Convolutional Neural Networks
    • [cs.CV]Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets
    • [cs.CV]HKR For Handwritten Kazakh & Russian Database
    • [cs.CV]KIT MOMA: A Mobile Machines Dataset
    • [cs.CV]Making Adversarial Examples More Transferable and Indistinguishable
    • [cs.CV]Marginal loss and exclusion loss for partially supervised multi-organ segmentation
    • [cs.CV]On Learning Semantic Representations for Million-Scale Free-Hand Sketches
    • [cs.CV]PaMIR: Parametric Model-Conditioned Implicit Representation for Image-based Human Reconstruction
    • [cs.CV]PathGAN: Local Path Planning with Generative Adversarial Networks
    • [cs.CV]Placepedia: Comprehensive Place Understanding with Multi-Faceted Annotations
    • [cs.CV]Real-time Semantic Segmentation with Fast Attention
    • [cs.CV]Remix: Rebalanced Mixup
    • [cs.CV]Resonator networks for factoring distributed representations of data structures
    • [cs.CV]Robust Re-Identification by Multiple Views Knowledge Distillation
    • [cs.CV]SLAP: Improving Physical Adversarial Examples with Short-Lived Adversarial Perturbations
    • [cs.CV]SegFix: Model-Agnostic Boundary Refinement for Segmentation
    • [cs.CV]SiENet: Siamese Expansion Network for Image Extrapolation
    • [cs.CV]Single-Frame based Deep View Synchronization for Unsynchronized Multi-Camera Surveillance
    • [cs.CV]Spatio-Temporal Scene Graphs for Video Dialog
    • [cs.CV]Superpixel Segmentation using Dynamic and Iterative Spanning Forest
    • [cs.CV]Synthetic-to-Real Domain Adaptation for Lane Detection
    • [cs.CV]When Perspective Comes for Free: Improving Depth Prediction with Camera Pose Encoding
    • [cs.CV]Winning with Simple Learning Models: Detecting Earthquakes in Groningen, the Netherlands
    • [cs.CY]Computer-Aided Personalized Education
    • [cs.CY]Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence
    • [cs.CY]Electric Vehicle transition in the UK
    • [cs.CY]Enable an Open Software Defined Mobility Ecosystem through VEC-OF
    • [cs.CY]Study on Computational Thinking as Problem-solving Skill: Comparison Based on Students Mindset in Engineering and Social Science
    • [cs.CY]The implementation of social robots during the COVID-19 pandemic
    • [cs.CY]Using Online Implicit Association Tests in Opinion Polling
    • [cs.CY]When we can trust computers (and when we can’t)
    • [cs.DC]Algorithm-Based Checkpoint-Recovery for the Conjugate Gradient Method
    • [cs.DC]Auto-MAP: A DQN Framework for Exploring Distributed Execution Plans for DNN Workloads
    • [cs.DC]Cloud Based Big Data DNS Analytics at Turknet
    • [cs.DC]Distributed Training of Deep Learning Models: A Taxonomic Perspective
    • [cs.HC]EpiMob: Interactive Visual Analytics of Citywide Human Mobility Restrictions for Epidemic Control
    • [cs.HC]Expressive Interviewing: A Conversational System for Coping with COVID-19
    • [cs.IT]A complete characterization of the APN property of a class of quadrinomials
    • [cs.IT]Algebraic structure of Fq-linear conjucyclic codes over finite field F{q^2}
    • [cs.IT]Coding with Noiseless Feedback over the Z-channel
    • [cs.IT]Decentralized Content Dissemination in Fog Radio Access Network Using Unsupervised Learning Empowered Rate-Splitting Framework
    • [cs.IT]General Framework and Novel Transceiver Architecture based on Hybrid Beamforming for NOMA in Massive MIMO Channels
    • [cs.IT]Optimizing Information Freshness via Multiuser Scheduling with Adaptive NOMA/OMA
    • [cs.IT]Reconfigurable Intelligent Surface Empowered Terahertz Communication for LEO Satellite Networks
    • [cs.IT]Secure Distributed Matrix Computation with Discrete Fourier Transform
    • [cs.IT]Tightness of the Asymptotic Generalized Poor-Verdú Error Bound for the Memoryless Symmetric Channel
    • [cs.LG]A Benchmark of Medical Out of Distribution Detection
    • [cs.LG]A Natural Actor-Critic Algorithm with Downside Risk Constraints
    • [cs.LG]A Nearest Neighbor Characterization of Lebesgue Points in Metric Measure Spaces
    • [cs.LG]A One-step Approach to Covariate Shift Adaptation
    • [cs.LG]An exploration of the influence of path choice in game-theoretic attribution algorithms
    • [cs.LG]Auto-Sklearn 2.0: The Next Generation
    • [cs.LG]Binary Stochastic Filtering: feature selection and beyond
    • [cs.LG]BlockFLow: An Accountable and Privacy-Preserving Solution for Federated Learning
    • [cs.LG]Bypassing the Ambient Dimension: Private SGD with Gradient Subspace Identification
    • [cs.LG]Conditional gradient methods for stochastically constrained convex minimization
    • [cs.LG]Consistency Regularization with Generative Adversarial Networks for Semi-Supervised Image Classification
    • [cs.LG]Defending Against Backdoors in Federated Learning with Robust Learning Rate
    • [cs.LG]Density Fixing: Simple yet Effective Regularization Method based on the Class Prior
    • [cs.LG]Diverse Ensembles Improve Calibration
    • [cs.LG]Double Prioritized State Recycled Experience Replay
    • [cs.LG]Efficient and Parallel Separable Dictionary Learning
    • [cs.LG]Explaining Fast Improvement in Online Policy Optimization
    • [cs.LG]Fast Training of Deep Neural Networks Robust to Adversarial Perturbations
    • [cs.LG]Few-Shot One-Class Classification via Meta-Learning
    • [cs.LG]Graph Neural Networks for the Prediction of Substrate-Specific Organic Reaction Conditions
    • [cs.LG]How benign is benign overfitting?
    • [cs.LG]Incorporating prior knowledge about structural constraints in model identification
    • [cs.LG]Learning while Respecting Privacy and Robustness to Distributional Uncertainties and Adversarial Data
    • [cs.LG]Linear Tensor Projection Revealing Nonlinearity
    • [cs.LG]Linear-Time Algorithms for Adaptive Submodular Maximization
    • [cs.LG]MCU-Net: A framework towards uncertainty representations for decision support system patient referrals in healthcare contexts
    • [cs.LG]Meta-active Learning in Probabilistically-Safe Optimization
    • [cs.LG]Near Optimal Provable Uniform Convergence in Off-Policy Evaluation for Reinforcement Learning
    • [cs.LG]Non-parametric Models for Non-negative Functions
    • [cs.LG]Operation-Aware Soft Channel Pruning using Differentiable Masks
    • [cs.LG]Personalized Federated Learning: An Attentive Collaboration Approach
    • [cs.LG]Predicting the Accuracy of a Few-Shot Classifier
    • [cs.LG]README: REpresentation learning by fairness-Aware Disentangling MEthod
    • [cs.LG]RicciNets: Curvature-guided Pruning of High-performance Neural Networks Using Ricci Flow
    • [cs.LG]Robust Multi-Agent Multi-Armed Bandits
    • [cs.LG]Self-Supervised Policy Adaptation during Deployment
    • [cs.LG]Semi-Supervised Learning with Meta-Gradient
    • [cs.LG]Sharp Analysis of Smoothed Bellman Error Embedding
    • [cs.LG]Stochastic Hamiltonian Gradient Methods for Smooth Games
    • [cs.LG]Strong Generalization and Efficiency in Neural Programs
    • [cs.LG]Supervised machine learning techniques for data matching based on similarity metrics
    • [cs.LG]The Scattering Compositional Learner: Discovering Objects, Attributes, Relationships in Analogical Reasoning
    • [cs.LG]Towards a practical measure of interference for reinforcement learning
    • [cs.LG]Towards an Understanding of Residual Networks Using Neural Tangent Hierarchy (NTH)
    • [cs.LG]Unbiased Lift-based Bidding System
    • [cs.MS]A Task-based Multi-shift QR/QZ Algorithm with Aggressive Early Deflation
    • [cs.NE]Artificial Life in Game Mods for Intuitive Evolution Education
    • [cs.NE]AutoLR: An Evolutionary Approach to Learning Rate Policies
    • [cs.NE]BS4NN: Binarized Spiking Neural Networks with Temporal Coding and Learning
    • [cs.NE]IOHanalyzer: Performance Analysis for Iterative Optimization Heuristic
    • [cs.NE]Learning Efficient Search Approximation in Mixed Integer Branch and Bound
    • [cs.NI]High-Performance Routing with Multipathing and Path Diversity in Supercomputers and Data Centers
    • [cs.NI]PINT: Probabilistic In-band Network Telemetry
    • [cs.RO]CMPCC: Corridor-based Model Predictive Contouring Control for Aggressive Drone Flight
    • [cs.RO]Design, Control, and Applications of a Soft Robotic Arm
    • [cs.RO]Evaluating Robust, Perception Based Control with Quadrotors
    • [cs.RO]Mastering the working sequence in human-robot collaborative assembly based on reinforcement learning
    • [cs.SI]A Survey of Real-Time Social-Based Traffic Detection
    • [cs.SI]Computational Resource Allocation for Edge Computing in Social Internet-of-Things
    • [cs.SI]Graph Neural Networks-based Clustering for Social Internet of Things
    • [cs.SI]Social media self-branding and success: Quantitative evidence from a model competition
    • [cs.SI]The impact of political party/candidate on the election results from a sentiment analysis perspective using #AnambraDecides2017 tweets
    • [eess.AS]Learning Speech Representations from Raw Audio by Joint Audiovisual Self-Supervision
    • [eess.AS]Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters
    • [eess.AS]Streaming End-to-End Bilingual ASR Systems with Joint Language Identification
    • [eess.IV]Designing and Training of A Dual CNN for Image Denoising
    • [eess.IV]Labelling imaging datasets on the basis of neuroradiology reports: a validation study
    • [eess.IV]Low-dimensional Manifold Constrained Disentanglement Network for Metal Artifact Reduction
    • [eess.IV]Quantifying and Leveraging Predictive Uncertainty for Medical Image Assessment
    • [eess.IV]Self-supervised Skull Reconstruction in Brain CT Images with Decompressive Craniectomy
    • [eess.SP]AUSN: Approximately Uniform Quantization by Adaptively Superimposing Non-uniform Distribution for Deep Neural Networks
    • [eess.SP]Fine-grained Vibration Based Sensing Using a Smartphone
    • [math.CO]The uncertainty principle over finite fields
    • [math.OC]An Integer Programming Approach to Deep Neural Networks with Binary Activation Functions
    • [math.OC]On Entropic Optimization and Path Integral Control
    • [math.OC]Responsive Safety in Reinforcement Learning by PID Lagrangian Methods
    • [math.ST]Max-sum tests for cross-sectional dependence of high-demensional panel data
    • [math.ST]pMAX Random Fields
    • [physics.optics]Guidestar-free image-guided wavefront-shaping
    • [physics.soc-ph]Pandemic Risks and Equilibrium Social Distancing in Heterogeneous Networks
    • [q-fin.MF]Robust pricing and hedging via neural SDEs
    • [q-fin.ST]Uncertainty-Aware Lookahead Factor Models for Quantitative Investing
    • [stat.AP]A Dynamic Choice Model with Heterogeneous Decision Rules: Application in Estimating the User Cost of Rail Crowding
    • [stat.AP]A new generalized newsvendor model with random demand
    • [stat.AP]Learning excursion sets of vector-valued Gaussian random fields for autonomous ocean sampling
    • [stat.AP]Parsimony in Model Selection: Tools for Assessing Fit Propensity
    • [stat.AP]Space-time smoothing models for sub-national measles routine immunization coverage estimation with complex survey data
    • [stat.AP]The network structure of cultural distances
    • [stat.AP]Trajectories, bifurcations and pseudotime in large clinical datasets: applications to myocardial infarction and diabetes data
    • [stat.AP]Two-stage single-arm trials are rarely reported adequately
    • [stat.CO]A two-level Kriging-based approach with active learning for solving time-variant risk optimization problems
    • [stat.ME]A Tukey type trend test for repeated carcinogenicity bioassays, motivated by multiple glyphosate studies
    • [stat.ME]Deep Fiducial Inference
    • [stat.ME]Estimating Monte Carlo variance from multiple Markov chains
    • [stat.ME]Fast Bayesian Estimation of Spatial Count Data Models
    • [stat.ME]Kernel-based Prediction of Non-Markovian Time Series
    • [stat.ME]Modeling semi-competing risks data as a longitudinal bivariate process
    • [stat.ME]Modelling excess zeros in count data: A new perspective on modelling approaches
    • [stat.ME]Personalized Dynamic Treatment Regimes in Continuous Time: A Bayesian Joint Model for Optimizing Clinical Decisions with Timing
    • [stat.ME]Robust Concordance Rate for A Four-Quadrant Plot
    • [stat.ME]Statistical design considerations for trials that study multiple indications
    • [stat.ME]Treatment effect bias from sample snooping: blinding outcomes is neither necessary nor sufficient
    • [stat.ME]Within-Person Variability Score-Based Causal Inference: A Two-Step Semiparametric Estimation for Joint Effects of Time-Varying Treatments
    • [stat.ML]A Variational Formula for Rényi Divergences
    • [stat.ML]Accelerated Sparse Bayesian Learning via Screening Test and Its Applications
    • [stat.ML]Learning from DPPs via Sampling: Beyond HKPV and symmetry
    • [stat.ML]NVAE: A Deep Hierarchical Variational Autoencoder
    • [stat.ML]Pitfalls to Avoid when Interpreting Machine Learning Models
    • [stat.ML]Statistical post-processing of wind speed forecasts using convolutional neural networks
    • [stat.ML]srMO-BO-3GP: A sequential regularized multi-objective constrained Bayesian optimization for design applications
    ·····································
    • [astro-ph.IM]Deep Ensemble Analysis for Imaging X-ray Polarimetry
    A. L. Peirson, R. W. Romani, H. L. Marshall, J. F. Steiner, L. Baldini
    http://arxiv.org/abs/2007.03828v1
    • [astro-ph.IM]Detection of Gravitational Waves Using Bayesian Neural Networks
    Yu-Chiung Lin, Jiun-Huei Proty Wu
    http://arxiv.org/abs/2007.04176v1
    • [cs.AI]Deep Reinforcement Learning and its Neuroscientific Implications
    Matthew Botvinick, Jane X. Wang, Will Dabney, Kevin J. Miller, Zeb Kurth-Nelson
    http://arxiv.org/abs/2007.03750v1
    • [cs.AI]Dung’s semantics satisfy attack removal monotonicity
    Leila Amgoud, Srdjan Vesic
    http://arxiv.org/abs/2007.04221v1
    • [cs.AI]Reconciling Causality and Statistics
    Pirmin Lemberger, Denis Oblin
    http://arxiv.org/abs/2007.03940v1
    • [cs.AI]TripMD: Driving patterns investigation via Motif Analysis
    Maria Inê Silva, Roberto Henriques
    http://arxiv.org/abs/2007.03727v1
    • [cs.CL]Analysis of Predictive Coding Models for Phonemic Representation Learning in Small Datasets
    María Andrea Cruz Blandón, Okko Räsänen
    http://arxiv.org/abs/2007.04205v1
    • [cs.CL]Audio-Visual Understanding of Passenger Intents for In-Cabin Conversational Agents
    Eda Okur, Shachi H Kumar, Saurav Sahay, Lama Nachman
    http://arxiv.org/abs/2007.03876v1
    • [cs.CL]Automatic Detection of Sexist Statements Commonly Used at the Workplace
    Dylan Grosz, Patricia Conde-Cespedes
    http://arxiv.org/abs/2007.04181v1
    • [cs.CL]Best-First Beam Search
    Clara Meister, Ryan Cotterell, Tim Vieira
    http://arxiv.org/abs/2007.03909v1
    • [cs.CL]Cross-lingual Inductive Transfer to Detect Offensive Language
    Kartikey Pant, Tanvi Dadu
    http://arxiv.org/abs/2007.03771v1
    • [cs.CL]Evaluating German Transformer Language Models with Syntactic Agreement Tests
    Karolina Zaczynska, Nils Feldhus, Robert Schwarzenberg, Aleksandra Gabryszak, Sebastian Möller
    http://arxiv.org/abs/2007.03765v1
    • [cs.CL]Generalizing Tensor Decomposition for N-ary Relational Knowledge Bases
    Yu Liu, Quanming Yao, Yong Li
    http://arxiv.org/abs/2007.03988v1
    • [cs.CL]ISA: An Intelligent Shopping Assistant
    Tuan Manh Lai, Trung Bui, Nedim Lipka
    http://arxiv.org/abs/2007.03805v1
    • [cs.CL]Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion
    Kun Zhou, Wayne Xin Zhao, Shuqing Bian, Yuanhang Zhou, Ji-Rong Wen, Jingsong Yu
    http://arxiv.org/abs/2007.04032v1
    • [cs.CL]KQA Pro: A Large Diagnostic Dataset for Complex Question Answering over Knowledge Base
    Jiaxin Shi, Shulin Cao, Liangming Pan, Yutong Xiang, Lei Hou, Juanzi Li, Hanwang Zhang, Bin He
    http://arxiv.org/abs/2007.03875v1
    • [cs.CL]Language Modeling with Reduced Densities
    Tai-Danae Bradley, Yiannis Vlassopoulos
    http://arxiv.org/abs/2007.03834v1
    • [cs.CL]Learning Neural Textual Representations for Citation Recommendation
    Binh Thanh Kieu, Inigo Jauregi Unanue, Son Bao Pham, Hieu Xuan Phan, Massimo Piccardi
    http://arxiv.org/abs/2007.04070v1
    • [cs.CL]Research on multi-dimensional end-to-end phrase recognition algorithm based on background knowledge
    Zheng Li, Gang Tu, Guang Liu, Zhi-Qiang Zhan, Yi-Jian Liu
    http://arxiv.org/abs/2007.03860v1
    • [cs.CL]The curious case of developmental BERTology: On sparsity, transfer learning, generalization and the brain
    Xin Wang
    http://arxiv.org/abs/2007.03774v1
    • [cs.CL]Unsupervised Online Grounding of Natural Language during Human-Robot Interactions
    Oliver Roesler
    http://arxiv.org/abs/2007.04304v1
    • [cs.CR]Agile Approach for IT Forensics Management
    Matthias Schopp, Peter Hillmann
    http://arxiv.org/abs/2007.04125v1
    • [cs.CR]Open-Pub: A Transparent yet Privacy-Preserving Academic Publication System based on Blockchain
    Yan Zhou, Zhiguo Wan, Zhangshuang Guan
    http://arxiv.org/abs/2007.03915v1
    • [cs.CV]3D Shape Reconstruction from Vision and Touch
    Edward J. Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik, Michal Drozdzal
    http://arxiv.org/abs/2007.03778v1
    • [cs.CV]A Distilled Model for Tracking and Tracker Fusion
    Matteo Dunnhofer, Niki Martinel, Christian Micheloni
    http://arxiv.org/abs/2007.04108v1
    • [cs.CV]A Free Viewpoint Portrait Generator with Dynamic Styling
    Anpei Chen, Ruiyang Liu, Ling Xie, Jingyi Yu
    http://arxiv.org/abs/2007.03780v1
    • [cs.CV]A Multi-Level Approach to Waste Object Segmentation
    Tao Wang, Yuanzheng Cai, Lingyu Liang, Dongyi Ye
    http://arxiv.org/abs/2007.04259v1
    • [cs.CV]A study of Neural networks point source extraction on simulated Fermi/LAT Telescope images
    Mariia Drozdova, Anton Broilovskiy, Andrey Ustyuzhanin, Denys Malyshev
    http://arxiv.org/abs/2007.04295v1
    • [cs.CV]Adaptive 3D Face Reconstruction from a Single Image
    Kun Li, Jing Yang, Nianhong Jiao, Jinsong Zhang, Yu-Kun Lai
    http://arxiv.org/abs/2007.03979v1
    • [cs.CV]Combating Domain Shift with Self-Taught Labeling
    Jian Liang, Dapeng Hu, Jiashi Feng
    http://arxiv.org/abs/2007.04171v1
    • [cs.CV]Deformable spatial propagation network for depth completion
    Zheyuan Xu, Yingfu Wang, Jian Yao
    http://arxiv.org/abs/2007.04251v1
    • [cs.CV]Delving into the Adversarial Robustness on Face Recognition
    Xiao Yang, Dingcheng Yang, Yinpeng Dong, Wenjian Yu, Hang Su, Jun Zhu
    http://arxiv.org/abs/2007.04118v1
    • [cs.CV]Detection as Regression: Certified Object Detection by Median Smoothing
    Ping-yeh Chiang, Michael J. Curry, Ahmed Abdelkader, Aounon Kumar, John Dickerson, Tom Goldstein
    http://arxiv.org/abs/2007.03730v1
    • [cs.CV]Dynamic Group Convolution for Accelerating Convolutional Neural Networks
    Zhuo Su, Linpu Fang, Wenxiong Kang, Dewen Hu, Matti Pietikäinen, Li Liu
    http://arxiv.org/abs/2007.04242v1
    • [cs.CV]Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets
    Junsuk Choe, Seong Joon Oh, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim
    http://arxiv.org/abs/2007.04178v1
    • [cs.CV]HKR For Handwritten Kazakh & Russian Database
    Daniyar Nurseitov, Kairat Bostanbekov, Daniyar Kurmankhojayev, Anel Alimova, Abdelrahman Abdallah
    http://arxiv.org/abs/2007.03579v2
    • [cs.CV]KIT MOMA: A Mobile Machines Dataset
    Yusheng Xiang, Hongzhe Wang, Tianqing Su, Ruoyu Li, Christine Brach, Samuel S. Mao, Marcus Geimer
    http://arxiv.org/abs/2007.04198v1
    • [cs.CV]Making Adversarial Examples More Transferable and Indistinguishable
    Junhua Zou, Zhisong Pan, Junyang Qiu, Yexin Duan, Xin Liu, Yu Pan
    http://arxiv.org/abs/2007.03838v1
    • [cs.CV]Marginal loss and exclusion loss for partially supervised multi-organ segmentation
    Gonglei Shi, Li Xiao, Yang Chen, S. Kevin Zhou
    http://arxiv.org/abs/2007.03868v1
    • [cs.CV]On Learning Semantic Representations for Million-Scale Free-Hand Sketches
    Peng Xu, Yongye Huang, Tongtong Yuan, Tao Xiang, Timothy M. Hospedales, Yi-Zhe Song, Liang Wang
    http://arxiv.org/abs/2007.04101v1
    • [cs.CV]PaMIR: Parametric Model-Conditioned Implicit Representation for Image-based Human Reconstruction
    Zerong Zheng, Tao Yu, Yebin Liu, Qionghai Dai
    http://arxiv.org/abs/2007.03858v1
    • [cs.CV]PathGAN: Local Path Planning with Generative Adversarial Networks
    Dooseop Choi, Seung-jun Han, Kyoungwook Min, Jeongdan Choi
    http://arxiv.org/abs/2007.03877v1
    • [cs.CV]Placepedia: Comprehensive Place Understanding with Multi-Faceted Annotations
    Huaiyi Huang, Yuqi Zhang, Qingqiu Huang, Zhengkui Guo, Ziwei Liu, Dahua Lin
    http://arxiv.org/abs/2007.03777v1
    • [cs.CV]Real-time Semantic Segmentation with Fast Attention
    Ping Hu, Federico Perazzi, Fabian Caba Heilbron, Oliver Wang, Zhe Lin, Kate Saenko, Stan Sclaroff
    http://arxiv.org/abs/2007.03815v1
    • [cs.CV]Remix: Rebalanced Mixup
    Hsin-Ping Chou, Shih-Chieh Chang, Jia-Yu Pan, Wei Wei, Da-Cheng Juan
    http://arxiv.org/abs/2007.03943v1
    • [cs.CV]Resonator networks for factoring distributed representations of data structures
    E. Paxon Frady, Spencer Kent, Bruno A. Olshausen, Friedrich T. Sommer
    http://arxiv.org/abs/2007.03748v1
    • [cs.CV]Robust Re-Identification by Multiple Views Knowledge Distillation
    Angelo Porrello, Luca Bergamini, Simone Calderara
    http://arxiv.org/abs/2007.04174v1
    • [cs.CV]SLAP: Improving Physical Adversarial Examples with Short-Lived Adversarial Perturbations
    Giulio Lovisotto, Henry Turner, Ivo Sluganovic, Martin Strohmeier, Ivan Martinovic
    http://arxiv.org/abs/2007.04137v1
    • [cs.CV]SegFix: Model-Agnostic Boundary Refinement for Segmentation
    Yuhui Yuan, Jingyi Xie, Xilin Chen, Jingdong Wang
    http://arxiv.org/abs/2007.04269v1
    • [cs.CV]SiENet: Siamese Expansion Network for Image Extrapolation
    Xiaofeng Zhang, Feng Chen, Cailing Wang, Songsong Wu, Ming Tao, Guoping Jiang
    http://arxiv.org/abs/2007.03851v1
    • [cs.CV]Single-Frame based Deep View Synchronization for Unsynchronized Multi-Camera Surveillance
    Qi Zhang, Antoni B. Chan
    http://arxiv.org/abs/2007.03891v1
    • [cs.CV]Spatio-Temporal Scene Graphs for Video Dialog
    Shijie Geng, Peng Gao, Chiori Hori, Jonathan Le Roux, Anoop Cherian
    http://arxiv.org/abs/2007.03848v1
    • [cs.CV]Superpixel Segmentation using Dynamic and Iterative Spanning Forest
    F. C. Belem, S. J. F. Guimaraes, A. X. Falcao
    http://arxiv.org/abs/2007.04257v1
    • [cs.CV]Synthetic-to-Real Domain Adaptation for Lane Detection
    Noa Garnett, Roy Uziel, Netalee Efrat, Dan Levi
    http://arxiv.org/abs/2007.04023v1
    • [cs.CV]When Perspective Comes for Free: Improving Depth Prediction with Camera Pose Encoding
    Yunhan Zhao, Shu Kong, Charless Fowlkes
    http://arxiv.org/abs/2007.03887v1
    • [cs.CV]Winning with Simple Learning Models: Detecting Earthquakes in Groningen, the Netherlands
    Umair bin Waheed, Ahmed Shaheen, Mike Fehler, Ben Fulcher
    http://arxiv.org/abs/2007.03924v1
    • [cs.CY]Computer-Aided Personalized Education
    Rajeev Alur, Richard Baraniuk, Rastislav Bodik, Ann Drobnis, Sumit Gulwani, Bjoern Hartmann, Yasmin Kafai, Jeff Karpicke, Ran Libeskind-Hadas, Debra Richardson, Armando Solar-Lezama, Candace Thille, Moshe Vardi
    http://arxiv.org/abs/2007.03704v1
    • [cs.CY]Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence
    Shakir Mohamed, Marie-Therese Png, William Isaac
    http://arxiv.org/abs/2007.04068v1
    • [cs.CY]Electric Vehicle transition in the UK
    Sivapriya Mothilal Bhagavathy, Malcolm McCulloch
    http://arxiv.org/abs/2007.03745v1
    • [cs.CY]Enable an Open Software Defined Mobility Ecosystem through VEC-OF
    Sanchu Han, Yong He, Yin Ding
    http://arxiv.org/abs/2007.03879v1
    • [cs.CY]Study on Computational Thinking as Problem-solving Skill: Comparison Based on Students Mindset in Engineering and Social Science
    Andik Asmara
    http://arxiv.org/abs/2007.04060v1
    • [cs.CY]The implementation of social robots during the COVID-19 pandemic
    Laura Aymerich-Franch, Iliana Ferrer
    http://arxiv.org/abs/2007.03941v1
    • [cs.CY]Using Online Implicit Association Tests in Opinion Polling
    Alan Smeaton, Hyowon Lee, Niamh Morris, David Hanley
    http://arxiv.org/abs/2007.04183v1
    • [cs.CY]When we can trust computers (and when we can’t)
    Peter V. Coveney, Roger R. Highfield
    http://arxiv.org/abs/2007.03741v1
    • [cs.DC]Algorithm-Based Checkpoint-Recovery for the Conjugate Gradient Method
    Carlos Pachajoa, Christina Pacher, Markus Levonyak, Wilfried N. Gansterer
    http://arxiv.org/abs/2007.04066v1
    • [cs.DC]Auto-MAP: A DQN Framework for Exploring Distributed Execution Plans for DNN Workloads
    Siyu Wang, Yi Rong, Shiqing Fan, Zhen Zheng, LanSong Diao, Guoping Long, Jun Yang, Xiaoyong Liu, Wei Lin
    http://arxiv.org/abs/2007.04069v1
    • [cs.DC]Cloud Based Big Data DNS Analytics at Turknet
    Altan Cakir, Yousef Alkhanafseh, Esra Karabiyik, Erhan Kurubas, Rabia Burcu Bunyak, Cenk Anil Bahcevan
    http://arxiv.org/abs/2007.04207v1
    • [cs.DC]Distributed Training of Deep Learning Models: A Taxonomic Perspective
    Matthias Langer, Zhen He, Wenny Rahayu, Yanbo Xue
    http://arxiv.org/abs/2007.03970v1
    • [cs.HC]EpiMob: Interactive Visual Analytics of Citywide Human Mobility Restrictions for Epidemic Control
    Zhiwen Zhang, Chuang Yang, Zipei Fan, Renhe Jiang, Quanjun Chen, Xuan Song, Ryosuke Shibasaki
    http://arxiv.org/abs/2007.03180v1
    • [cs.HC]Expressive Interviewing: A Conversational System for Coping with COVID-19
    Charles Welch, Allison Lahnala, Verónica Pérez-Rosas, Siqi Shen, Sarah Seraj, Larry An, Kenneth Resnicow, James Pennebaker, Rada Mih
    95d
    alcea
    http://arxiv.org/abs/2007.03819v1
    • [cs.IT]A complete characterization of the APN property of a class of quadrinomials
    Kangquan Li, Chunlei Li, Tor Helleseth, Longjiang Qu
    http://arxiv.org/abs/2007.03996v1
    • [cs.IT]Algebraic structure of Fq-linear conjucyclic codes over finite field F{q^2}
    Jingjie Lv, Ruihu Li
    http://arxiv.org/abs/2007.03963v1
    • [cs.IT]Coding with Noiseless Feedback over the Z-channel
    Christian Deppe, Vladimir Lebedev, Georg Maringer, Nikita Polyanskii
    http://arxiv.org/abs/2007.04026v1
    • [cs.IT]Decentralized Content Dissemination in Fog Radio Access Network Using Unsupervised Learning Empowered Rate-Splitting Framework
    Md. Zoheb Hassan, Md. Jahangir Hossain, Julian Cheng, Victor C. M. Leung
    http://arxiv.org/abs/2007.03827v1
    • [cs.IT]General Framework and Novel Transceiver Architecture based on Hybrid Beamforming for NOMA in Massive MIMO Channels
    Murat Bayraktar, Gokhan Muzaffer Guvensen
    http://arxiv.org/abs/2007.04056v1
    • [cs.IT]Optimizing Information Freshness via Multiuser Scheduling with Adaptive NOMA/OMA
    Qian Wang, He
    103a
    Chen, Changhong Zhao, Yonghui Li, Petar Popovski, Branka Vucetic
    http://arxiv.org/abs/2007.04072v1
    • [cs.IT]Reconfigurable Intelligent Surface Empowered Terahertz Communication for LEO Satellite Networks
    Kürşat Tekbıyık, Güneş Karabulut Kurt, Ali Rıza Ekti, Ali Görçin, Halim Yanikomeroglu
    http://arxiv.org/abs/2007.04281v1
    • [cs.IT]Secure Distributed Matrix Computation with Discrete Fourier Transform
    Nitish Mital, Cong Ling, Deniz Gunduz
    http://arxiv.org/abs/2007.03972v1
    • [cs.IT]Tightness of the Asymptotic Generalized Poor-Verdú Error Bound for the Memoryless Symmetric Channel
    Ling-Hua Chang, Po-Ning Chen, Fady Alajaji, Yunghsiang S. Han
    http://arxiv.org/abs/2007.04080v1
    • [cs.LG]A Benchmark of Medical Out of Distribution Detection
    Tianshi Cao, Chinwei Huang, David Yu-Tung Hui, Joseph Paul Cohen
    http://arxiv.org/abs/2007.04250v1
    • [cs.LG]A Natural Actor-Critic Algorithm with Downside Risk Constraints
    Thomas Spooner, Rahul Savani
    http://arxiv.org/abs/2007.04203v1
    • [cs.LG]A Nearest Neighbor Characterization of Lebesgue Points in Metric Measure Spaces
    Tommaso Cesari, Roberto Colomboni
    http://arxiv.org/abs/2007.03937v1
    • [cs.LG]A One-step Approach to Covariate Shift Adaptation
    Tianyi Zhang, Ikko Yamane, Nan Lu, Masashi Sugiyama
    http://arxiv.org/abs/2007.04043v1
    • [cs.LG]An exploration of the influence of path choice in game-theoretic attribution algorithms
    Geoff Ward, Sean Kamkar, Jay Budzik
    http://arxiv.org/abs/2007.04169v1
    • [cs.LG]Auto-Sklearn 2.0: The Next Generation
    Matthias Feurer, Katharina Eggensperger, Stefan Falkner, Marius Lindauer, Frank Hutter
    http://arxiv.org/abs/2007.04074v1
    • [cs.LG]Binary Stochastic Filtering: feature selection and beyond
    Andrii Trelin, Aleš Procházka
    http://arxiv.org/abs/2007.03920v1
    • [cs.LG]BlockFLow: An Accountable and Privacy-Preserving Solution for Federated Learning
    Vaikkunth Mugunthan, Ravi Rahman, Lalana Kagal
    http://arxiv.org/abs/2007.03856v1
    • [cs.LG]Bypassing the Ambient Dimension: Private SGD with Gradient Subspace Identification
    Yingxue Zhou, Zhiwei Steven Wu, Arindam Banerjee
    http://arxiv.org/abs/2007.03813v1
    • [cs.LG]Conditional gradient methods for stochastically constrained convex minimization
    Maria-Luiza Vladarean, Ahmet Alacaoglu, Ya-Ping Hsieh, Volkan Cevher
    http://arxiv.org/abs/2007.03795v1
    • [cs.LG]Consistency Regularization with Generative Adversarial Networks for Semi-Supervised Image Classification
    Zexi Chen, Bharathkumar Ramachandra, Ranga Raju Vatsavai
    http://arxiv.org/abs/2007.03844v1
    • [cs.LG]Defending Against Backdoors in Federated Learning with Robust Learning Rate
    Mustafa Safa Ozdayi, Murat Kantarcioglu, Yulia R. Gel
    http://arxiv.org/abs/2007.03767v1
    • [cs.LG]Density Fixing: Simple yet Effective Regularization Method based on the Class Prior
    Masanari Kimura, Ryohei Izawa
    http://arxiv.org/abs/2007.03899v1
    • [cs.LG]Diverse Ensembles Improve Calibration
    Asa Cooper Stickland, Iain Murray
    http://arxiv.org/abs/2007.04206v1
    • [cs.LG]Double Prioritized State Recycled Experience Replay
    Fanchen Bu
    http://arxiv.org/abs/2007.03961v1
    • [cs.LG]Efficient and Parallel Separable Dictionary Learning
    Cristian Rusu, Paul Irofti
    http://arxiv.org/abs/2007.03800v1
    • [cs.LG]Explaining Fast Improvement in Online Policy Optimization
    Xinyan Yan, Byron Boots, Ching-An Cheng
    http://arxiv.org/abs/2007.02520v2
    • [cs.LG]Fast Training of Deep Neural Networks Robust to Adversarial Perturbations
    Justin Goodwin, Olivia Brown, Victoria Helus
    http://arxiv.org/abs/2007.03832v1
    • [cs.LG]Few-Shot One-Class Classification via Meta-Learning
    Ahmed Frikha, Denis Krompaß, Hans-Georg Köpken, Volker Tresp
    http://arxiv.org/abs/2007.04146v1
    • [cs.LG]Graph Neural Networks for the Prediction of Substrate-Specific Organic Reaction Conditions
    Serim Ryou, Michael R. Maser, Alexander Y. Cui, Travis J. DeLano, Yisong Yue, Sarah E. Reisman
    http://arxiv.org/abs/2007.04275v1
    • [cs.LG]How benign is benign overfitting?
    Amartya Sanyal, Puneet K Dokania, Varun Kanade, Philip H. S. Torr
    http://arxiv.org/abs/2007.04028v1
    • [cs.LG]Incorporating prior knowledge about structural constraints in model identification
    Deepak Maurya, Sivadurgaprasad Chinta, Abhishek Sivaram, Raghunathan Rengaswamy
    http://arxiv.org/abs/2007.04030v1
    • [cs.LG]Learning while Respecting Privacy and Robustness to Distributional Uncertainties and Adversarial Data
    Alireza Sadeghi, Gang Wang, Meng Ma, Georgios B. Giannakis
    http://arxiv.org/abs/2007.03724v1
    • [cs.LG]Linear Tensor Projection Revealing Nonlinearity
    Koji Maruhashi, Heewon Park, Rui Yamaguchi, Satoru Miyano
    http://arxiv.org/abs/2007.03912v1
    • [cs.LG]Linear-Time Algorithms for Adaptive Submodular Maximization
    Shaojie Tang
    http://arxiv.org/abs/2007.04214v1
    • [cs.LG]MCU-Net: A framework towards uncertainty representations for decision support system patient referrals in healthcare contexts
    Nabeel Seedat
    http://arxiv.org/abs/2007.03995v1
    • [cs.LG]Meta-active Learning in Probabilistically-Safe Optimization
    Mariah L. Schrum, Mark Connolly, Eric Cole, Mihir Ghetiya, Robert Gross, Matthew C. Gombolay
    http://arxiv.org/abs/2007.03742v1
    • [cs.LG]Near Optimal Provable Uniform Convergence in Off-Policy Evaluation for Reinforcement Learning
    Ming Yin, Yu Bai, Yu-Xiang Wang
    http://arxiv.org/abs/2007.03760v1
    • [cs.LG]Non-parametric Models for Non-negative Functions
    Ulysse Marteau-Ferey, Francis Bach, Alessandro Rudi
    http://arxiv.org/abs/2007.03926v1
    • [cs.LG]Operation-Aware Soft Channel Pruning using Differentiable Masks
    Minsoo Kang, Bohyung Han
    http://arxiv.org/abs/2007.03938v1
    • [cs.LG]Personalized Federated Learning: An Attentive Collaboration Approach
    Yutao Huang, Lingyang Chu, Zirui Zhou, Lanjun Wang, Jiangchuan Liu, Jian Pei, Yong Zhang
    http://arxiv.org/abs/2007.03797v1
    • [cs.LG]Predicting the Accuracy of a Few-Shot Classifier
    Myriam Bontonou, Louis Béthune, Vincent Gripon
    http://arxiv.org/abs/2007.04238v1
    • [cs.LG]README: REpresentation learning by fairness-Aware Disentangling MEthod
    Sungho Park, Dohyung Kim, Sunhee Hwang, Hyeran Byun
    http://arxiv.org/abs/2007.03775v1
    • [cs.LG]RicciNets: Curvature-guided Pruning of High-performance Neural Networks Using Ricci Flow
    Samuel Glass, Simeon Spasov, Pietro Liò
    http://arxiv.org/abs/2007.04216v1
    • [cs.LG]Robust Multi-Agent Multi-Armed Bandits
    Daniel Vial, Sanjay Shakkottai, R. Srikant
    http://arxiv.org/abs/2007.03812v1
    • [cs.LG]Self-Supervised Policy Adaptation during Deployment
    Nicklas Hansen, Yu Sun, Pieter Abbeel, Alexei A. Efros, Lerrel Pinto, Xiaolong Wang
    http://arxiv.org/abs/2007.04309v1
    • [cs.LG]Semi-Supervised Learning with Meta-Gradient
    Xin-Yu Zhang, Hao-Lin Jia, Taihong Xiao, Ming-Ming Cheng, Ming-Hsuan Yang
    http://arxiv.org/abs/2007.03966v1
    • [cs.LG]Sharp Analysis of Smoothed Bellman Error Embedding
    Ahmed Touati, Pascal Vincent
    http://arxiv.org/abs/2007.03749v1
    • [cs.LG]Stochastic Hamiltonian Gradient Methods for Smooth Games
    Nicolas Loizou, Hugo Berard, Alexia Jolicoeur-Martineau, Pascal Vincent, Simon Lacoste-Julien, Ioannis Mitliagkas
    http://arxiv.org/abs/2007.04202v1
    • [cs.LG]Strong Generalization and Efficiency in Neural Programs
    Yujia Li, Felix Gimeno, Pushmeet Kohli, Oriol Vinyals
    http://arxiv.org/abs/2007.03629v2
    • [cs.LG]Supervised machine learning techniques for data matching based on similarity metrics
    Pim Verschuuren, Serena Palazzo, Tom Powell, Steve Sutton, Alfred Pilgrim, Michele Faucci Giannelli
    http://arxiv.org/abs/2007.04001v1
    • [cs.LG]The Scattering Compositional Learner: Discovering Objects, Attributes, Relationships in Analogical Reasoning
    Yuhuai Wu, Honghua Dong, Roger Grosse, Jimmy Ba
    http://arxiv.org/abs/2007.04212v1
    • [cs.LG]Towards a practical measure of interference for reinforcement learning
    Vincent Liu, Adam White, Hengshuai Yao, Martha White
    http://arxiv.org/abs/2007.03807v1
    • [cs.LG]Towards an Understanding of Residual Networks Using Neural Tangent Hierarchy (NTH)
    Yuqing Li, Tao Luo, Nung Kwan Yip
    http://arxiv.org/abs/2007.03714v1
    • [cs.LG]Unbiased Lift-based Bidding System
    Daisuke Moriwaki, Yuta Hayakawa, Isshu Munemasa, Yuta Saito, Akira Matsui
    http://arxiv.org/abs/2007.04002v1
    • [cs.MS]A Task-based Multi-shift QR/QZ Algorithm with Aggressive Early Deflation
    Mirko Myllykoski
    http://arxiv.org/abs/2007.03576v2
    • [cs.NE]Artificial Life in Game Mods for Intuitive Evolution Education
    Anya E. Vostinar, Barbara Z. Johnson, Kevin Connors
    http://arxiv.org/abs/2007.03787v1
    • [cs.NE]AutoLR: An Evolutionary Approach to Learning Rate Policies
    Pedro Carvalho, Nuno Lourenço, Filipe Assunção, Penousal Machado
    http://arxiv.org/abs/2007.04223v1
    • [cs.NE]BS4NN: Binarized Spiking Neural Networks with Temporal Coding and Learning
    Saeed Reza Kheradpisheh, Maryam Mirsadeghi, Timothée Masquelier
    http://arxiv.org/abs/2007.04039v1
    • [cs.NE]IOHanalyzer: Performance Analysis for Iterative Optimization Heuristic
    Hao Wang, Diederick Vermetten, Furong Ye, Carola Doerr, Thomas Bäck
    http://arxiv.org/abs/2007.03953v1
    • [cs.NE]Learning Efficient Search Approximation in Mixed Integer Branch and Bound
    Kaan Yilmaz, Neil Yorke-Smith
    http://arxiv.org/abs/2007.03948v1
    • [cs.NI]High-Performance Routing with Multipathing and Path Diversity in Supercomputers and Data Centers
    Maciej Besta, Jens Domke, Marcel Schneider, Marek Konieczny, Salvatore Di Girolamo, Timo Schneider, Ankit Singla, Torsten Hoefler
    http://arxiv.org/abs/2007.03776v1
    • [cs.NI]PINT: Probabilistic In-band Network Telemetry
    Ran Ben Basat, Sivaramakrishnan Ramanathan, Yuliang Li, Gianni Antichi, Minlan Yu, Michael Mitzenmacher
    http://arxiv.org/abs/2007.03731v1
    • [cs.RO]CMPCC: Corridor-based Model Predictive Contouring Control for Aggressive Drone Flight
    Jialin Ji, Xin Zhou, Chao Xu, Fei Gao
    http://arxiv.org/abs/2007.03271v2
    • [cs.RO]Design, Control, and Applications of a Soft Robotic Arm
    Hao Jiang, Zhanchi Wang, Yusong Jin, Xiaotong Chen, Peijin Li, Yinghao Gan, Sen Lin, Xiaoping Chen
    http://arxiv.org/abs/2007.04047v1
    • [cs.RO]Evaluating Robust, Perception Based Control with Quadrotors
    Laura Jarin-Lipschitz, Rebecca Li, Ty Nguyen, Vijay Kumar, Nikolai Matni
    http://arxiv.org/abs/2007.04220v1
    • [cs.RO]Mastering the working sequence in human-robot collaborative assembly based on reinforcement learning
    Tian Yu, Jing Huang, Qing Chang
    http://arxiv.org/abs/2007.04140v1
    • [cs.SI]A Survey of Real-Time Social-Based Traffic Detection
    Hashim Abu-gellban
    http://arxiv.org/abs/2007.04100v1
    • [cs.SI]Computational Resource Allocation for Edge Computing in Social Internet-of-Things
    Abdullah Khanfor, Raby Hamadi, Hakim Ghazzai, Ye Yang, Mohammad R. Haider, Yehia Massoud
    http://arxiv.org/abs/2007.03904v1
    • [cs.SI]Graph Neural Networks-based Clustering for Social Internet of Things
    Abdullah Khanfor, Amal Nammouchi, Hakim Ghazzai, Ye Yang, Mohammad R. Haider, Yehia Massoud
    http://arxiv.org/abs/2007.03892v1
    • [cs.SI]Social media self-branding and success: Quantitative evidence from a model competition
    Fabian Braesemann, Fabian Stephany
    http://arxiv.org/abs/2007.04113v1
    • [cs.SI]The impact of political party/candidate on the election results from a sentiment analysis perspective using #AnambraDecides2017 tweets
    Ikechukwu Onyenwe, Samuel Nwagbo, Njideka Mbeledogu, Ebele Onyedinma
    http://arxiv.org/abs/2007.03824v1
    • [eess.AS]Learning Speech Representations from Raw Audio by Joint Audiovisual Self-Supervision
    Abhinav Shukla, Stavros Petridis, Maja Pantic
    http://arxiv.org/abs/2007.04134v1
    • [eess.AS]Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters
    Vineel Pratap, Anuroop Sriram, Paden Tomasello, Awni Hannun, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert
    http://arxiv.org/abs/2007.03001v2
    • [eess.AS]Streaming End-to-End Bilingual ASR Systems with Joint Language Identification
    Surabhi Punjabi, Harish Arsikere, Zeynab Raeesy, Chander Chandak, Nikhil Bhave, Ankish Bansal, Markus Müller, Sergio Murillo, Ariya Rastrow, Sri Garimella, Roland Maas, Mat Hans, Athanasios Mouchtaris, Siegfried Kunzmann
    http://arxiv.org/abs/2007.03900v1
    • [eess.IV]Designing and Training of A Dual CNN for Image Denoising
    Chunwei Tian, Yong Xu, Wangmeng Zuo, Bo Du, Chia-Wen Lin, David Zhang
    http://arxiv.org/abs/2007.03951v1
    • [eess.IV]Labelling imaging datasets on the basis of neuroradiology reports: a validation study
    David A. Wood, Sina Kafiabadi, Aisha Al Busaidi, Emily Guilhem, Jeremy Lynch, Matthew Townend, Antanas Montvila, Juveria Siddiqui, Naveen Gadapa, Matthew Benger, Gareth Barker, Sebastian Ourselin, James H. Cole, Thomas C. Booth
    http://arxiv.org/abs/2007.04226v1
    • [eess.IV]Low-dimensional Manifold Constrained Disentanglement Network for Metal Artifact Reduction
    Chuang Niu, Wenxiang Cong, Fenglei Fan, Hongming Shan, Mengzhou Li, Jimin Liang, Ge Wang
    http://arxiv.org/abs/2007.03882v1
    • [eess.IV]Quantifying and Leveraging Predictive Uncertainty for Medical Image Assessment
    Florin C. Ghesu, Bogdan Georgescu, Awais Mansoor, Youngjin Yoo, Eli Gibson, R. S. Vishwanath, Abishek Balachandran, James M. Balter, Yue Cao, Ramandeep Singh, Subba R. Digumarthy, Mannudeep K. Kalra, Sasa Grbic, Dorin Comaniciu
    http://arxiv.org/abs/2007.04258v1
    • [eess.IV]Self-supervised Skull Reconstruction in Brain CT Images with Decompressive Craniectomy
    Franco Matzkin, Virginia Newcombe, Susan Stevenson, Aneesh Khetani, Tom Newman, Richard Digby, Andrew Stevens, Ben Glocker, Enzo Ferrante
    http://arxiv.org/abs/2007.03817v1
    • [eess.SP]AUSN: Approximately Uniform Quantization by Adaptively Superimposing Non-uniform Distribution for Deep Neural Networks
    Liu Fangxin, Zhao Wenbo, Wang Yanzhi, Dai Changzhi, Jiang Li
    http://arxiv.org/abs/2007.03903v1
    • [eess.SP]Fine-grained Vibration Based Sensing Using a Smartphone
    Kamran Ali, Alex X. Liu
    http://arxiv.org/abs/2007.03874v1
    • [math.CO]The uncertainty principle over finite fields
    Martino Borello, Patrick Solé
    http://arxiv.org/abs/2007.04159v1
    • [math.OC]An Integer Programming Approach to Deep Neural Networks with Binary Activation Functions
    Bubacarr Bah, Jannis Kurtz
    http://arxiv.org/abs/2007.03326v
    6f0
    2
    6f0


    • [math.OC]On Entropic Optimization and Path Integral Control
    Tom Lefebvre, Guillaume Crevecoeur
    http://arxiv.org/abs/2007.03960v1
    • [math.OC]Responsive Safety in Reinforcement Learning by PID Lagrangian Methods
    Adam Stooke, Joshua Achiam, Pieter Abbeel
    http://arxiv.org/abs/2007.03964v1
    • [math.ST]Max-sum tests for cross-sectional dependence of high-demensional panel data
    Long Feng, Tiefeng Jiang, Binghui Liu, Wei Xiong
    http://arxiv.org/abs/2007.03911v1
    • [math.ST]pMAX Random Fields
    Marta Ferreira, Ana Paula Martins, Helena Ferreira
    http://arxiv.org/abs/2007.04204v1
    • [physics.optics]Guidestar-free image-guided wavefront-shaping
    Tomer Yeminy, Ori Katz
    http://arxiv.org/abs/2007.03956v1
    • [physics.soc-ph]Pandemic Risks and Equilibrium Social Distancing in Heterogeneous Networks
    Hamed Amini, Andreea Minca
    http://arxiv.org/abs/2007.04210v1
    • [q-fin.MF]Robust pricing and hedging via neural SDEs
    Patryk Gierjatowicz, Marc Sabate-Vidales, David Šiška, Lukasz Szpruch, Žan Žurič
    http://arxiv.org/abs/2007.04154v1
    • [q-fin.ST]Uncertainty-Aware Lookahead Factor Models for Quantitative Investing
    Lakshay Chauhan, John Alberg, Zachary C. Lipton
    http://arxiv.org/abs/2007.04082v1
    • [stat.AP]A Dynamic Choice Model with Heterogeneous Decision Rules: Application in Estimating the User Cost of Rail Crowding
    Prateek Bansal, Daniel Hörcher, Daniel J. Graham
    http://arxiv.org/abs/2007.03682v1
    • [stat.AP]A new generalized newsvendor model with random demand
    Soham Ghosh, Mamta Sahare, Sujay Mukhoti
    http://arxiv.org/abs/2007.03870v1
    • [stat.AP]Learning excursion sets of vector-valued Gaussian random fields for autonomous ocean sampling
    Trygve Olav Fossum, Cédric Travelletti, Jo Eidsvik, David Ginsbourger, Kanna Rajan
    http://arxiv.org/abs/2007.03722v1
    • [stat.AP]Parsimony in Model Selection: Tools for Assessing Fit Propensity
    Carl Falk, Michael Muthukrishna
    http://arxiv.org/abs/2007.03699v1
    • [stat.AP]Space-time smoothing models for sub-national measles routine immunization coverage estimation with complex survey data
    Tracy Qi Dong, Jon Wakefield
    http://arxiv.org/abs/2007.03732v1
    • [stat.AP]The network structure of cultural distances
    Luca De Benedictis, Roberto Rondinelli, Veronica Vinciotti
    http://arxiv.org/abs/2007.02359v2
    • [stat.AP]Trajectories, bifurcations and pseudotime in large clinical datasets: applications to myocardial infarction and diabetes data
    Sergey E. Golovenkin, Jonathan Bac, Alexander Chervov, Evgeny M. Mirkes, Yuliya V. Orlova, Emmanuel Barillot, Alexander N. Gorban, Andrei Zinovyev
    http://arxiv.org/abs/2007.03788v1
    • [stat.AP]Two-stage single-arm trials are rarely reported adequately
    Michael J. Grayling, Adrian P. Mander
    http://arxiv.org/abs/2007.04168v1
    • [stat.CO]A two-level Kriging-based approach with active learning for solving time-variant risk optimization problems
    H. M. Kroetz, M. Moustapha, A. T. Beck, B. Sudret
    http://arxiv.org/abs/2007.03942v1
    • [stat.ME]A Tukey type trend test for repeated carcinogenicity bioassays, motivated by multiple glyphosate studies
    Ludwig A. Hothorn, Frank Schaarschmidt
    http://arxiv.org/abs/2007.04009v1
    • [stat.ME]Deep Fiducial Inference
    Gang Li, Jan Hannig
    http://arxiv.org/abs/2007.04285v1
    • [stat.ME]Estimating Monte Carlo variance from multiple Markov chains
    Kushagra Gupta, Dootika Vats
    http://arxiv.org/abs/2007.04229v1
    • [stat.ME]Fast Bayesian Estimation of Spatial Count Data Models
    Prateek Bansal, Rico Krueger, Daniel J. Graham
    http://arxiv.org/abs/2007.03681v1
    • [stat.ME]Kernel-based Prediction of Non-Markovian Time Series
    Faheem Gilani, Dimitrios Giannakis, John Harlim
    http://arxiv.org/abs/2007.04286v1
    • [stat.ME]Modeling semi-competing risks data as a longitudinal bivariate process
    Daniel Nevo, Deborah Blacker, Eric B. Larson, Sebastien Haneuse
    http://arxiv.org/abs/2007.04037v1
    • [stat.ME]Modelling excess zeros in count data: A new perspective on modelling approaches
    John Haslett, Andrew C. Parnell, John Hinde, Rafael A. Moral
    http://arxiv.org/abs/2007.04177v1
    • [stat.ME]Personalized Dynamic Treatment Regimes in Continuous Time: A Bayesian Joint Model for Optimizing Clinical Decisions with Timing
    William Hua, Hongyuan Mei, Sarah Zohar, Magali Giral, Yanxun Xu
    http://arxiv.org/abs/2007.04155v1
    • [stat.ME]Robust Concordance Rate for A Four-Quadrant Plot
    Mayu Hiraishi, Kensuke Tanioka, Toshio Shimokawa
    http://arxiv.org/abs/2007.04042v1
    • [stat.ME]Statistical design considerations for trials that study multiple indications
    Alexander M. Kaizer, Joseph S. Koopmeiners, Nan Chen, Brian P. Hobbs
    http://arxiv.org/abs/2007.03792v1
    • [stat.ME]Treatment effect bias from sample snooping: blinding outcomes is neither necessary nor sufficient
    Aaron Fisher
    http://arxiv.org/abs/2007.02514v2
    • [stat.ME]Within-Person Variability Score-Based Causal Inference: A Two-Step Semiparametric Estimation for Joint Effects of Time-Varying Treatments
    Satoshi Usami
    http://arxiv.org/abs/2007.03973v1
    • [stat.ML]A Variational Formula for Rényi Divergences
    Jeremiah Birrell, Paul Dupuis, Markos A. Katsoulakis, Luc Rey-Bellet, Jie Wang
    http://arxiv.org/abs/2007.03814v1
    • [stat.ML]Accelerated Sparse Bayesian Learning via Screening Test and Its Applications
    Yiping Jiang, Tianshi Chen
    http://arxiv.org/abs/2007.04006v1
    • [stat.ML]Learning from DPPs via Sampling: Beyond HKPV and symmetry
    Rémi Bardenet, Subhroshekhar Ghosh
    http://arxiv.org/abs/2007.04287v1
    • [stat.ML]NVAE: A Deep Hierarchical Variational Autoencoder
    Arash Vahdat, Jan Kautz
    http://arxiv.org/abs/2007.03898v1
    • [stat.ML]Pitfalls to Avoid when Interpreting Machine Learning Models
    Christoph Molnar, Gunnar König, Julia Herbinger, Timo Freiesleben, Susanne Dandl, Christian A. Scholbeck, Giuseppe Casalicchio, Moritz Grosse-Wentrup, Bernd Bischl
    http://arxiv.org/abs/2007.04131v1
    • [stat.ML]Statistical post-processing of wind speed forecasts using convolutional neural networks
    Simon Veldkamp, Kirien Whan, Sjoerd Dirksen, Maurice Schmeits
    http://arxiv.org/abs/2007.04005v1
    • [stat.ML]srMO-BO-3GP: A sequential regularized multi-objective constrained Bayesian optimization for design applications
    Anh Tran, Mike Eldred, Scott McCann, Yan Wang
    http://arxiv.org/abs/2007.03502v2