astro-ph.CO - 宇宙学和天体物理学

    cond-mat.stat-mech - 统计数学 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.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 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.SE - 软件工程 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.OC - 优化与控制 math.ST - 统计理论 physics.chem-ph -化学物理 physics.data-an - 数据分析、 统计和概率 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.CO]The impact of signal-to-noise, redshift, and angular range on the bias of weak lensing 2-point functions
    • [cond-mat.stat-mech]Network navigation using Page Rank random walks
    • [cs.AI]Cause vs. Effect in Context-Sensitive Prediction of Business Process Instances
    • [cs.AI]Deep Learning for Abstract Argumentation Semantics
    • [cs.AI]Defeasible RDFS via Rational Closure
    • [cs.AI]Failures of Contingent
    1000
    Thinking
    • [cs.AI]Intelligent requirements engineering from natural language and their chaining toward CAD models
    • [cs.AI]Tabletop Roleplaying Games as Procedural Content Generators
    • [cs.AI]Tractable Fragments of Temporal Sequences of Topological Information
    • [cs.CL]A Multilingual Parallel Corpora Collection Effort for Indian Languages
    • [cs.CL]AdapterHub: A Framework for Adapting Transformers
    • [cs.CL]Align then Summarize: Automatic Alignment Methods for Summarization Corpus Creation
    • [cs.CL]Are We There Yet? Evaluating State-of-the-Art Neural Network based Geoparsers Using EUPEG as a Benchmarking Platform
    • [cs.CL]Deep learning models for representing out-of-vocabulary words
    • [cs.CL]Dual Past and Future for Neural Machine Translation
    • [cs.CL]Emoji Prediction: Extensions and Benchmarking
    • [cs.CL]Fine-Tune Longformer for Jointly Predicting Rumor Stance and Veracity
    • [cs.CL]InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training
    • [cs.CL]Logic Constrained Pointer Networks for Interpretable Textual Similarity
    • [cs.CL]Modeling Coherency in Generated Emails by Leveraging Deep Neural Learners
    • [cs.CL]Multimodal Word Sense Disambiguation in Creative Practice
    • [cs.CL]Predicting Clinical Diagnosis from Patients Electronic Health Records Using BERT-based Neural Networks
    • [cs.CL]Sinhala Language Corpora and Stopwords from a Decade of Sri Lankan Facebook
    • [cs.CL]UniTrans: Unifying Model Transfer and Data Transfer for Cross-Lingual Named Entity Recognition with Unlabeled Data
    • [cs.CL]Using Holographically Compressed Embeddings in Question Answering
    • [cs.CR]Static analysis of executable files by machine learning methods
    • [cs.CV]A Generalization of Otsu’s Method and Minimum Error Thresholding
    • [cs.CV]A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection
    • [cs.CV]A cellular automata approach to local patterns for texture recognition
    • [cs.CV]Active Crowd Counting with Limited Supervision
    • [cs.CV]AdaptiveReID: Adaptive L2 Regularization in Person Re-Identification
    • [cs.CV]Attention as Activation
    • [cs.CV]Augmented Bi-path Network for Few-shot Learning
    • [cs.CV]Automatic Image Labelling at Pixel Level
    • [cs.CV]Automatic extraction of road intersection points from USGS historical map series using deep convolutional neural networks
    • [cs.CV]CANet: Context Aware Network for 3D Brain Tumor Segmentation
    • [cs.CV]COBE: Contextualized Object Embeddings from Narrated Instructional Video
    • [cs.CV]COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder
    • [cs.CV]CenterNet3D:An Anchor free Object Detector for Autonomous Driving
    • [cs.CV]Closed-Form Factorization of Latent Semantics in GANs
    • [cs.CV]Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By Comparing Image Representations
    • [cs.CV]ContourRend: A Segmentation Method for Improving Contours by Rendering
    • [cs.CV]CycAs: Self-supervised Cycle Association for Learning Re-identifiable Descriptions
    • [cs.CV]Data-Efficient Deep Learning Method for Image Classification Using Data Augmentation, Focal Cosine Loss, and Ensemble
    • [cs.CV]Decoding CNN based Object Classifier Using Visualization
    • [cs.CV]End-to-end training of a two-stage neural network for defect detection
    • [cs.CV]Enhancing Generalized Zero-Shot Learning via Adversarial Visual-Semantic Interaction
    • [cs.CV]Evaluation of Neural Network Classification Systems on Document Stream
    • [cs.CV]Explaining Deep Neural Networks using Unsupervised Clustering
    • [cs.CV]Explore and Explain: Self-supervised Navigation and Recounting
    • [cs.CV]Fast and Robust Iterative Closet Point
    • [cs.CV]Few-shot Scene-adaptive Anomaly Detection
    • [cs.CV]Finding Non-Uniform Quantization Schemes usingMulti-Task Gaussian Processes
    • [cs.CV]Graph-Based Social Relation Reasoning
    • [cs.CV]Improving Face Recognition by Clustering Unlabeled Faces in the Wild
    • [cs.CV]JNR: Joint-based Neural Rig Representation for Compact 3D Face Modeling
    • [cs.CV]Learning Multiplicative Interactions with Bayesian Neural Networks for Visual-Inertial Odometry
    • [cs.CV]Learning Part Boundaries from 3D Point Clouds
    • [cs.CV]Learning Visual Context by Comparison
    • [cs.CV]Learning to Learn with Variational Information Bottleneck for Domain Generalization
    • [cs.CV]Learning to Parse Wireframes in Images of Man-Made Environments
    • [cs.CV]Learning with Privileged Information for Efficient Image Super-Resolution
    • [cs.CV]Lunar Terrain Relative Navigation Using a Convolutional Neural Network for Visual Crater Detection
    • [cs.CV]P$^{2}$Net: Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation
    • [cs.CV]P2D: a self-supervised method for depth estimation from polarimetry
    • [cs.CV]PVSNet: Pixelwise Visibility-Aware Multi-View Stereo Network
    • [cs.CV]Privacy Preserving Text Recognition with Gradient-Boosting for Federated Learning
    • [cs.CV]Proof of Concept: Automatic Type Recognition
    • [cs.CV]RGB-IR Cross-modality Person ReID based on Teacher-Student GAN Model
    • [cs.CV]Real-Time Drone Detection and Tracking With Visible, Thermal and Acoustic Sensors
    • [cs.CV]Reorganizing local image features with chaotic maps: an application to texture recognition
    • [cs.CV]RobustScanner: Dynamically Enhancing Positional Clues for Robust Text Recognition
    • [cs.CV]Self-Supervised Representation Learning for Detection of ACL Tear Injury in Knee MRI
    • [cs.CV]Tackling the Problem of Limited Data and Annotations in Semantic Segmentation
    • [cs.CV]Temporal Distinct Representation Learning for Action Recognition
    • [cs.CV]TinyVIRAT: Low-resolution Video Action Recognition
    • [cs.CV]Transformation Consistency Regularization- A Semi-Supervised Paradigm for Image-to-Image Translation
    • [cs.CV]VidCEP: Complex Event Processing Framework to Detect Spatiotemporal Patterns in Video Streams
    • [cs.CV]Video Object Segmentation with Episodic Graph Memory Networks
    • [cs.CV]Visualizing Transfer Learning
    • [cs.CY]Automating the Communication of Cybersecurity Knowledge: Multi-Case Study
    • [cs.CY]Bringing the People Back In: Contesting Benchmark Machine Learning Datasets
    • [cs.CY]Dialect Diversity in Text Summarization on Twitter
    • [cs.CY]Green Algorithms: Quantifying the carbon emissions of computation
    • [cs.CY]Human $\neq$ AGI
    • [cs.CY]SARS-CoV-2 Impact on Online Teaching Methodologies and the Ed-Tech Sector: Smile and Learn Platform Case Study
    • [cs.CY]SaYoPillow: A Blockchain-Enabled, Privacy-Assured Framework for Stress Detection, Prediction and Control Considering Sleeping Habits in the IoMT
    • [cs.CY]The Moral-IT Deck: A Tool for Ethics by Design
    • [cs.DC]LinSBFT: Linear-Communication One-Step BFT Protocol for Public Blockchains
    • [cs.DC]Peregrine 2.0: Explaining Correctness of Population Protocols through Stage Graphs
    • [cs.DC]Serverless inferencing on Kubernetes
    • [cs.HC]Content-based Recommendations for Radio Stations with Deep Learned Audio Fingerprints
    • [cs.IR]Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset
    • [cs.IT]1-Bit Compressive Sensing via Approximate Message Passing with Built-in Parameter Estimation
    • [cs.IT]Coded Caching with Demand Privacy: Constructions for Lower Subpacketization and Generalizations
    • [cs.IT]Coding Theorems for Noisy Permutation Channels
    • [cs.IT]Energy-Efficient Resource Management for Federated Edge Learning with CPU-GPU Heterogeneous Computing
    • [cs.IT]Extending Coggia-Couvreur Attack on Loidreau’s Rank-metric Cryptosystem
    • [cs.IT]Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical Analysis
    • [cs.IT]High-Throughput VLSI Architecture for GRAND
    • [cs.IT]On The Optimal Number of Reflecting Elements for Reconfigurable Intelligent Surfaces
    • [cs.LG]A General Family of Stochastic Proximal Gradient Methods for Deep Learning
    • [cs.LG]A Pairwise Fair and Community-preserving Approach to k-Center Clustering
    • [cs.LG]Active World Model Learning with Progress Curiosity
    • [cs.LG]AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows
    • [cs.LG]Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics
    • [cs.LG]Are Hyperbolic Representations in Graphs Created Equal?
    • [cs.LG]Concept Learners for Generalizable Few-Shot Learning
    • [cs.LG]Deep Representation Learning and Clustering of Traffic Scenarios
    • [cs.LG]Efficient Online Estimation of Empowerment for Reinforcement Learning
    • [cs.LG]Experimental Design for Bathymetry Editing
    • [cs.LG]Fast Differentiable Clipping-Aware Normalization and Rescaling
    • [cs.LG]FetchSGD: Communication-Efficient Federated Learning with Sketching
    • [cs.LG]Focus-and-Expand: Training Guidance Through Gradual Manipulation of Input Features
    • [cs.LG]Generic Outlier Detection in Multi-Armed Bandit
    • [cs.LG]Identifying Reward Functions using Anchor Actions
    • [cs.LG]Importance of Tuning Hyperparameters of Machine Learning Algorithms
    • [cs.LG]Inverse Reinforcement Learning from a Gradient-based Learner
    • [cs.LG]Label Propagation with Augmented Anchors: A Simple Semi-Supervised Learning baseline for Unsupervised Domain Adaptation
    • [cs.LG]Layer-Parallel Training with GPU Concurrency of Deep Residual Neural Networks Via Nonlinear Multigrid
    • [cs.LG]Learning Invariances for Interpretability using Supervised VAE
    • [cs.LG]Learning Syllogism with Euler Neural-Networks
    • [cs.LG]Learning to Sample with Local and Global Contexts in Experience Replay Buffer
    • [cs.LG]Lifelong Learning of Compositional Structures
    • [cs.LG]Long-tail learning via logit adjustment
    • [cs.LG]MTS-CycleGAN: An Adversarial-based Deep Mapping Learning Network for Multivariate Time Series Domain Adaptation Applied to the Ironmaking Industry
    • [cs.LG]Misclassification cost-sensitive ensemble learning: A unifying framework
    • [cs.LG]Mixture Complexity and Its Application to Gradual Clustering Change Detection
    • [cs.LG]Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity
    • [cs.LG]Neural Topic Models with Survival Supervision: Jointly Predicting Time-to-Event Outcomes and Learning How Clinical Features Relate
    • [cs.LG]Newton-based Policy Optimization for Games
    • [cs.LG]Non-greedy Gradient-based Hyperparameter Optimization Over Long Horizons
    • [cs.LG]On quantitative aspects of model interpretability
    • [cs.LG]On the Inclusion of Spatial Information for Spatio-Temporal Neural Networks
    • [cs.LG]Optimal Learning for Structured Bandits
    • [cs.LG]Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning
    • [cs.LG]Phase diagram for two-layer ReLU neural networks at infinite-width limit
    • [cs.LG]Qgraph-bounded Q-learning: Stabilizing Model-Free Off-Policy Deep Reinforcement Learning
    • [cs.LG]Quantifying and Reducing Bias in Maximum Likelihood Estimation of Structured Anomalies
    • [cs.LG]Shuffling Recurrent Neural Networks
    • [cs.LG]SpaceNet: Make Free Space For Continual Learning
    • [cs.LG]Streaming Probabilistic Deep Tensor Factorization
    • [cs.LG]Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization
    • [cs.LG]Upper Counterfactual Confidence Bounds: a New Optimism Principle for Contextual Bandits
    • [cs.LG]timeXplain — A Framework for Explaining the Predictions of Time Series Classifiers
    • [cs.NE]Spiking neural state machine for gait frequency entrainment in a flexible modular robot
    • [cs.NI]NDNTP: A Named Data Networking Time Protocol
    • [cs.RO]Developmental Reinforcement Learning of Control Policy of a Quadcopter UAV with Thrust Vectoring Rotors
    • [cs.RO]Hardware Acceleration of Monte-Carlo Sampling for Energy Efficient Robust Robot Manipulation
    • [cs.RO]Relative Pose Estimation of Calibrated Cameras with Known $\mathrm{SE}(3)$ Invariants
    • [cs.SE]Opening the Software Engineering Toolbox for the Assessment of Trustworthy AI
    • [cs.SE]Towards an Interface Description Template for AI-enabled Systems
    • [cs.SI]Bot-Match: Social Bot Detection with Recursive Nearest Neighbors Search
    • [cs.SI]Combating Disinformation in a Social Media Age
    • [cs.SI]Individual Factors that Influence Effort and Contributions on Wikipedia
    • [cs.SI]Preliminary Results from a Peer-Led, Social Network Intervention, Augmented by Artificial Intelligence to Prevent HIV among Youth Experiencing Homelessness
    • [cs.SI]ReAD: A Regional Anomaly Detection Framework Based on Dynamic Partition
    • [eess.AS]Cross-Lingual Speaker Verification with Domain-Balanced Hard Prototype Mining and Language-Dependent Score Normalization
    • [eess.IV]Monocular Retinal Depth Estimation and Joint Optic Disc and Cup Segmentation using Adversarial Networks
    • [eess.SP]3D Polarized Modulation: System Analysis and Performance
    • [eess.SP]Decoding 5G-NR Communications via Deep Learning
    • [eess.SP]Group Invariant Dictionary Learning
    • [math.OC]On stochastic mirror descent with interacting particles: convergence properties and variance reduction
    • [math.ST]A Bayesian Multiple Testing Paradigm for Model Selection in Inverse Regression Problems
    • [math.ST]Adaptive Quantile Trend Filtering
    • [math.ST]Stationarity and ergodic properties for some observation-driven models in random environments
    • [physics.chem-ph]Deep Learning for UV Absorption Spectra with SchNarc: First Steps Towards Transferability in Chemical Compound Space
    • [physics.data-an]Supervised learning from noisy observations: Combining machine-learning techniques with data assimilation
    • [physics.soc-ph]Motifs for processes on networks
    • [q-bio.NC]Inferring network properties from time series via transfer entropy and mutual information: validation of bivariate versus multivariate approaches
    • [stat.AP]Ordinal Regression with Fenton-Wilkinson Order Statistics: A Case Study of an Orienteering Race
    • [stat.AP]Predication of Inflection Point and Outbreak Size of COVID-19 in New Epicentres
    • [stat.AP]Statistical analysis of two arm randomized pre-post design with one post-treatment measurement
    • [stat.ME]Estimation of testing bias in covid-19
    • [stat.ME]Meta-analysis parameters computation: a Python approach to facilitate the crossing of experimental conditions
    • [stat.ME]Scalable Bayesian modeling for smoothing disease risks in large spatial data sets
    • [stat.ME]Statistical Evaluation of Medical Tests
    • [stat.ME]Testing biodiversity using inhomogeneous summary statistics
    • [stat.ML]Explicit Regularisation in Gaussian Noise Injections
    • [stat.ML]From d
    63c1
    eep to Shallow: Equivalent Forms of Deep Networks in Reproducing Kernel Krein Space and Indefinite Support Vector Machines
    • [stat.ML]Highway Traffic State Estimation Using Physics Regularized Gaussian Process: Discretized Formulation
    • [stat.ML]Measurement error models: from nonparametric methods to deep neural networks
    • [stat.ML]Relaxed-Responsibility Hierarchical Discrete VAEs
    • [stat.ML]Sketching for Two-Stage Least Squares Estimation
    • [stat.ML]Statistical Inference for Networks of High-Dimensional Point Processes
    • [stat.ML]Towards a Theoretical Understanding of the Robustness of Variational Autoencoders

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    • [astro-ph.CO]The impact of signal-to-noise, redshift, and angular range on the bias of weak lensing 2-point functions
    Amy J. Louca, Elena Sellentin
    http://arxiv.org/abs/2007.07253v1

    • [cond-mat.stat-mech]Network navigation using Page Rank random walks
    Emilio Aced Fuentes, Simone Santini
    http://arxiv.org/abs/2007.07639v1

    • [cs.AI]Cause vs. Effect in Context-Sensitive Prediction of Business Process Instances
    Jens Brunk, Matthias Stierle, Leon Papke, Kate Revoredo, Martin Matzner, Jörg Becker
    http://arxiv.org/abs/2007.07549v1

    • [cs.AI]Deep Learning for Abstract Argumentation Semantics
    Dennis Craandijk, Floris Bex
    http://arxiv.org/abs/2007.07629v1

    • [cs.AI]Defeasible RDFS via Rational Closure
    Giovanni Casini, Umberto Straccia
    http://arxiv.org/abs/2007.07573v1

    • [cs.AI]Failures of Contingent
    1000
    Thinking
    Evan Piermont, Peio Zuazo-Garin
    http://arxiv.org/abs/2007.07703v1

    • [cs.AI]Intelligent requirements engineering from natural language and their chaining toward CAD models
    Alain-Jérôme Fougères, Egon Ostrosi
    http://arxiv.org/abs/2007.07825v1

    • [cs.AI]Tabletop Roleplaying Games as Procedural Content Generators
    Matthew Guzdial, Devi Acharya, Max Kreminski, Michael Cook, Mirjam Eladhari, Antonios Liapis, Anne Sullivan
    http://arxiv.org/abs/2007.06108v2

    • [cs.AI]Tractable Fragments of Temporal Sequences of Topological Information
    Quentin Cohen-Solal
    http://arxiv.org/abs/2007.07711v1

    • [cs.CL]A Multilingual Parallel Corpora Collection Effort for Indian Languages
    Shashank Siripragada, Jerin Philip, Vinay P. Namboodiri, C V Jawahar
    http://arxiv.org/abs/2007.07691v1

    • [cs.CL]AdapterHub: A Framework for Adapting Transformers
    Jonas Pfeiffer, Andreas Rücklé, Clifton Poth, Aishwarya Kamath, Ivan Vulić, Sebastian Ruder, Kyunghyun Cho, Iryna Gurevych
    http://arxiv.org/abs/2007.07779v1

    • [cs.CL]Align then Summarize: Automatic Alignment Methods for Summarization Corpus Creation
    Paul Tardy, David Janiszek, Yannick Estève, Vincent Nguyen
    http://arxiv.org/abs/2007.07841v1

    • [cs.CL]Are We There Yet? Evaluating State-of-the-Art Neural Network based Geoparsers Using EUPEG as a Benchmarking Platform
    Jimin Wang, Yingjie Hu
    http://arxiv.org/abs/2007.07455v1

    • [cs.CL]Deep learning models for representing out-of-vocabulary words
    Johannes V. Lochter, Renato M. Silva, Tiago A. Almeida
    http://arxiv.org/abs/2007.07318v1

    • [cs.CL]Dual Past and Future for Neural Machine Translation
    Jianhao Yan, Fandong Meng, Jie Zhou
    http://arxiv.org/abs/2007.07728v1

    • [cs.CL]Emoji Prediction: Extensions and Benchmarking
    Weicheng Ma, Ruibo Liu, Lili Wang, Soroush Vosoughi
    http://arxiv.org/abs/2007.07389v1

    • [cs.CL]Fine-Tune Longformer for Jointly Predicting Rumor Stance and Veracity
    Anant Khandelwal
    http://arxiv.org/abs/2007.07803v1

    • [cs.CL]InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training
    Zewen Chi, Li Dong, Furu Wei, Nan Yang, Saksham Singhal, Wenhui Wang, Xia Song, Xian-Ling Mao, Heyan Huang, Ming Zhou
    http://arxiv.org/abs/2007.07834v1

    • [cs.CL]Logic Constrained Pointer Networks for Interpretable Textual Similarity
    Subhadeep Maji, Rohan Kumar, Manish Bansal, Kalyani Roy, Pawan Goyal
    http://arxiv.org/abs/2007.07670v1

    • [cs.CL]Modeling Coherency in Generated Emails by Leveraging Deep Neural Learners
    Avisha Das, Rakesh M. Verma
    http://arxiv.org/abs/2007.07403v1

    • [cs.CL]Multimodal Word Sense Disambiguation in Creative Practice
    Manuel Ladron de Guevara, Christopher George, Akshat Gupta, Daragh Byrne, Ramesh Krishnamurti
    http://arxiv.org/abs/2007.07758v1

    • [cs.CL]Predicting Clinical Diagnosis from Patients Electronic Health Records Using BERT-based Neural Networks
    Pavel Blinov, Manvel Avetisian, Vladimir Kokh, Dmitry Umerenkov, Alexander Tuzhilin
    http://arxiv.org/abs/2007.07562v1

    • [cs.CL]Sinhala Language Corpora and Stopwords from a Decade of Sri Lankan Facebook
    Yudhanjaya Wijeratne, Nisansa de Silva
    http://arxiv.org/abs/2007.07884v1

    • [cs.CL]UniTrans: Unifying Model Transfer and Data Transfer for Cross-Lingual Named Entity Recognition with Unlabeled Data
    Qianhui Wu, Zijia Lin, Börje F. Karlsson, Biqing Huang, Jian-Guang Lou
    http://arxiv.org/abs/2007.07683v1

    • [cs.CL]Using Holographically Compressed Embeddings in Question Answering
    Salvador E. Barbosa
    http://arxiv.org/abs/2007.07287v1

    • [cs.CR]Static analysis of executable files by machine learning methods
    Nikolay Prudkovskiy
    http://arxiv.org/abs/2007.07501v1

    • [cs.CV]A Generalization of Otsu’s Method and Minimum Error Thresholding
    Jonathan T. Barron
    http://arxiv.org/abs/2007.07350v1

    • [cs.CV]A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection
    Xiaoqi Zhao, Lihe Zhang, Youwei Pang, Huchuan Lu, Lei Zhang
    http://arxiv.org/abs/2007.06811v2

    • [cs.CV]A cellular automata approach to local patterns for texture recognition
    Joao Florindo, Konradin Metze
    http://arxiv.org/abs/2007.07462v1

    • [cs.CV]Active Crowd Counting with Limited Supervision
    Zhen Zhao, Miaojing Shi, Xiaoxiao Zhao, Li Li
    http://arxiv.org/abs/2007.06334v2

    • [cs.CV]AdaptiveReID: Adaptive L2 Regularization in Person Re-Identification
    Xingyang Ni, Liang Fang, Heikki Huttunen
    http://arxiv.org/abs/2007.07875v1

    • [cs.CV]Attention as Activation
    Yimian Dai, Stefan Oehmcke, Yiquan Wu, Kobus Barnard
    http://arxiv.org/abs/2007.07729v1

    • [cs.CV]Augmented Bi-path Network for Few-shot Learning
    Baoming Yan, Chen Zhou, Bo Zhao, Kan Guo, Jiang Yang, Xiaobo Li, Ming Zhang, Yizhou Wang
    http://arxiv.org/abs/2007.07614v1

    • [cs.CV]Automatic Image Labelling at Pixel Level
    Xiang Zhang, Wei Zhang, Jinye Peng, Janping Fan
    http://arxiv.org/abs/2007.07415v1

    • [cs.CV]Automatic extraction of road intersection points from USGS historical map series using deep convolutional neural networks
    Mahmoud Saeedimoghaddam, T. F. Stepinski
    http://arxiv.org/abs/2007.07404v1

    • [cs.CV]CANet: Context Aware Network for 3D Brain Tumor Segmentation
    Zhihua Liu, Lei Tong, Long Chen, Feixiang Zhou, Zheheng Jiang, Qianni Zhang, Yinhai Wang, Caifeng Shan, Ling Li, Huiyu Zhou
    http://arxiv.org/abs/2007.07788v1

    • [cs.CV]COBE: Contextualized Object Embeddings from Narrated Instructional Video
    Gedas Bertasius, Lorenzo Torresani
    http://arxiv.org/abs/2007.07306v1

    • [cs.CV]COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder
    Kuniaki Saito, Kate Saenko, Ming-Yu Liu
    http://arxiv.org/abs/2007.07431v1

    • [cs.CV]CenterNet3D:An Anchor free Object Detector for Autonomous Driving
    Guojun Wang, Bin Tian, Yunfeng Ai, Tong Xu, Long Chen, Dongpu Cao
    http://arxiv.org/abs/2007.07214v2

    • [cs.CV]Closed-Form Factorization of Latent Semantics in GANs
    Yujun Shen, Bolei Zhou
    http://arxiv.org/abs/2007.06600v2

    • [cs.CV]Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By Comparing Image Representations
    Hong-Yu Zhou, Shuang Yu, Cheng Bian, Yifan Hu, Kai Ma, Yefeng Zheng
    http://arxiv.org/abs/2007.07423v1

    • [cs.CV]ContourRend: A Segmentation Method for Improving Contours by Rendering
    Junwen Chen, Yi Lu, Yaran Chen, Dongbin Zhao, Zhonghua Pang
    http://arxiv.org/abs/2007.07437v1

    • [cs.CV]CycAs: Self-supervised Cycle Association for Learning Re-identifiable Descriptions
    Zhongdao Wang, Jingwei Zhang, Liang Zheng, Yixuan Liu, Yifan Sun, Yali Li, Shengjin Wang
    http://arxiv.org/abs/2007.07577v1

    • [cs.CV]Data-Efficient Deep Learning Method for Image Classification Using Data Augmentation, Focal Cosine Loss, and Ensemble
    Byeongjo Kim, Chanran Kim, Jaehoon Lee, Jein Song, Gyoungsoo Park
    http://arxiv.org/abs/2007.07805v1

    • [cs.CV]Decoding CNN based Object Classifier Using Visualization
    Abhishek Mukhopadhyay, Imon Mukherjee, Pradipta Biswas
    http://arxiv.org/abs/2007.07482v1

    • [cs.CV]End-to-end training of a two-stage neural network for defect detection
    Jakob Božič, Domen Tabernik, Danijel Skočaj
    http://arxiv.org/abs/2007.07676v1

    • [cs.CV]Enhancing Generalized Zero-Shot Learning via Adversarial Visual-Semantic Interaction
    Shivam Chandhok, Vineeth N Balasubramanian
    http://arxiv.org/abs/2007.07757v1

    • [cs.CV]Evaluation of Neural Network Classification Systems on Document Stream
    Joris Voerman, Aurelie Joseph, Mickael Coustaty, Vincent Poulain d Andecy, Jean-Marc Ogier
    http://arxiv.org/abs/2007.07547v1

    • [cs.CV]Explaining Deep Neural Networks using Unsupervised Clustering
    Sercan O. Arik, Yu-han Liu
    http://arxiv.org/abs/2007.07477v1

    • [cs.CV]Explore and Explain: Self-supervised Navigation and Recounting
    Roberto Bigazzi, Federico Landi, Marcella Cornia, Silvia Cascianelli, Lorenzo Baraldi, Rita Cucchiara
    http://arxiv.org/abs/2007.07268v1

    • [cs.CV]Fast and Robust Iterative Closet Point
    Juyong Zhang, Yuxin Yao, Bailin Deng
    http://arxiv.org/abs/2007.07627v1

    • [cs.CV]Few-shot Scene-adaptive Anomaly Detection
    Yiwei Lu, Frank Yu, Mahesh Kumar Krishna Reddy, Yang Wang
    http://arxiv.org/abs/2007.07843v1

    • [cs.CV]Finding Non-Uniform Quantization Schemes usingMulti-Task Gaussian Processes
    Marcelo Gennari do Nascimento, Theo W. Costain, Victor Adrian Prisacariu
    http://arxiv.org/abs/2007.07743v1

    • [cs.CV]Graph-Based Social Relation Reasoning
    Wanhua Li, Yueqi Duan, Jiwen Lu, Jianjiang Feng, Jie Zhou
    http://arxiv.org/abs/2007.07453v1

    • [cs.CV]Improving Face Recognition by Clustering Unlabeled Faces in the Wild
    Aruni RoyChowdhury, Xiang Yu, Kihyuk Sohn, Erik Learned-Miller, Manmohan Chandraker
    http://arxiv.org/abs/2007.06995v2

    • [cs.CV]JNR: Joint-based Neural Rig Representation for Compact 3D Face Modeling
    Noranart Vesdapunt, Mitch Rundle, HsiangTao Wu, Baoyuan Wang
    http://arxiv.org/abs/2007.06755v2

    • [cs.CV]Learning Multiplicative Interactions with Bayesian Neural Networks for Visual-Inertial Odometry
    Kashmira Shinde, Jongseok Lee, Matthias Humt, Aydin Sezgin, Rudolph Triebel
    http://arxiv.org/abs/2007.07630v1

    • [cs.CV]Learning Part Boundaries from 3D Point Clouds
    Marios Loizou, Melinos Averkiou, Evangelos Kalogerakis
    http://arxiv.org/abs/2007.07563v1

    • [cs.CV]Learning Visual Context by Comparison
    Minchul Kim, Jongchan Park, Seil Na, Chang Min Park, Donggeun Yoo
    http://arxiv.org/abs/2007.07506v1

    • [cs.CV]Learning to Learn with Variational Information Bottleneck for Domain Generalization
    Yingjun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek, Ling Shao
    http://arxiv.org/abs/2007.07645v1

    • [cs.CV]Learning to Parse Wireframes in Images of Man-Made Environments
    Kun Huang, Yifan Wang, Zihan Zhou, Tianjiao Ding, Shenghua Gao, Yi Ma
    http://arxiv.org/abs/2007.07527v1

    • [cs.CV]Learning with Privileged Information for Efficient Image Super-Resolution
    Wonkyung Lee, Junghyup Lee, Dohyung Kim, Bumsub Ham
    http://arxiv.org/abs/2007.07524v1

    • [cs.CV]Lunar Terrain Relative Navigation Using a Convolutional Neural Network for Visual Crater Detection
    Lena M. Downes, Ted J. Steiner, Jonathan P. How
    http://arxiv.org/abs/2007.07702v1

    • [cs.CV]P$^{2}$Net: Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation
    Zehao Yu, Lei Jin, Shenghua Gao
    http://arxiv.org/abs/2007.07696v1

    • [cs.CV]P2D: a self-supervised method for depth estimation from polarimetry
    Marc Blanchon, Désiré Sidibé, Olivier Morel, Ralph Seulin, Daniel Braun, Fabrice Meriaudeau
    http://arxiv.org/abs/2007.07567v1

    • [cs.CV]PVSNet: Pixelwise Visibility-Aware Multi-View Stereo Network
    Qingshan Xu, Wenbing Tao
    http://arxiv.org/abs/2007.07714v1

    • [cs.CV]Privacy Preserving Text Recognition with Gradient-Boosting for Federated Learning
    Hanchi Ren, Jingjing Deng, Xianghua Xie
    http://arxiv.org/abs/2007.07296v1

    • [cs.CV]Proof of Concept: Automatic Type Recognition
    Vincent Christlein, Nikolaus Weichselbaumer, Saskia Limbach, Mathias Seuret
    http://arxiv.org/abs/2007.07690v1

    • [cs.CV]RGB-IR Cross-modality Person ReID based on Teacher-Student GAN Model
    Ziyue Zhang, Shuai Jiang, Congzhentao Huang, Yang Li, Richard Yi Da Xu
    http://arxiv.org/abs/2007.07452v1

    • [cs.CV]Real-Time Drone Detection and Tracking With Visible, Thermal and Acoustic Sensors
    Fredrik Svanstrom, Cristofer Englund, Fernando Alonso-Fernandez
    http://arxiv.org/abs/2007.07396v1

    • [cs.CV]Reorganizing local image features with chaotic maps: an application to texture recognition
    Joao Florindo
    http://arxiv.org/abs/2007.07456v1

    • [cs.CV]RobustScanner: Dynamically Enhancing Positional Clues for Robust Text Recognition
    Xiaoyu Yue, Zhanghui Kuang, Chenhao Lin, Hongbin Sun, Wayne Zhang
    http://arxiv.org/abs/2007.07542v1

    • [cs.CV]Self-Supervised Representation Learning for Detection of ACL Tear Injury in Knee MRI
    Siladittya Manna, Saumik Bhattacharya, Umapada Pal
    http://arxiv.org/abs/2007.07761v1

    • [cs.CV]Tackling the Problem of Limited Data and Annotations in Semantic Segmentation
    Ahmadreza Jeddi
    http://arxiv.org/abs/2007.07357v1

    • [cs.CV]Temporal Distinct Representation Learning for Action Recognition
    Junwu Weng, Donghao Luo, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Xudong Jiang, Junsong Yuan
    http://arxiv.org/abs/2007.07626v1

    • [cs.CV]TinyVIRAT: Low-resolution Video Action Recognition
    Ugur Demir, Yogesh S Rawat, Mubarak Shah
    http://arxiv.org/abs/2007.07355v1

    • [cs.CV]Transformation Consistency Regularization- A Semi-Supervised Paradigm for Image-to-Image Translation
    Aamir Mustafa, Rafal K. Mantiuk
    http://arxiv.org/abs/2007.07867v1

    • [cs.CV]VidCEP: Complex Event Processing Framework to Detect Spatiotemporal Patterns in Video Streams
    Piyush Yadav, Edward Curry
    http://arxiv.org/abs/2007.07817v1

    • [cs.CV]Video Object Segmentation with Episodic Graph Memory Networks
    Xinkai Lu, Wenguan Wang, Martin Danelljan, Tianfei Zhou, Jianbing Shen, Luc Van Gool
    http://arxiv.org/abs/2007.07020v2

    • [cs.CV]Visualizing Transfer Learning
    Róbert Szabó, Dániel Katona, Márton Csillag, Adrián Csiszárik, Dániel Varga
    http://arxiv.org/abs/2007.07628v1

    • [cs.CY]Automating the Communication of Cybersecurity Knowledge: Multi-Case Study
    Alireza Shojaifar, Samuel A. Fricker, Martin Gwerder
    http://arxiv.org/abs/2007.07602v1

    • [cs.CY]Bringing the People Back In: Contesting Benchmark Machine Learning Datasets
    Emily Denton, Alex Hanna, Razvan Amironesei, Andrew Smart, Hilary Nicole, Morgan Klaus Scheuerman
    http://arxiv.org/abs/2007.07399v1

    • [cs.CY]Dialect Diversity in Text Summarization on Twitter
    L. Elisa Celis, Vijay Keswani
    http://arxiv.org/abs/2007.07860v1

    • [cs.CY]Green Algorithms: Quantifying the carbon emissions of computation
    Loïc Lannelongue, Jason Grealey, Michael Inouye
    http://arxiv.org/abs/2007.07610v1

    • [cs.CY]Human $\neq$ AGI
    Roman V. Yampolskiy
    http://arxiv.org/abs/2007.07710v1

    • [cs.CY]SARS-CoV-2 Impact on Online Teaching Methodologies and the Ed-Tech Sector: Smile and Learn Platform Case Study
    Natalia Lara Nieto-Márquez, Alejandro Baldominos, Almudena González Petronila
    http://arxiv.org/abs/2007.07587v1

    • [cs.CY]SaYoPillow: A Blockchain-Enabled, Privacy-Assured Framework for Stress Detection, Prediction and Control Considering Sleeping Habits in the IoMT
    Laavanya Rachakonda, Anand K. Bapatla, Saraju P. Mohanty, Elias Kougianos
    http://arxiv.org/abs/2007.07377v1

    • [cs.CY]The Moral-IT Deck: A Tool for Ethics by Design
    Lachlan Urquhart, Peter Craigon
    http://arxiv.org/abs/2007.07514v1

    • [cs.DC]LinSBFT: Linear-Communication One-Step BFT Protocol for Public Blockchains
    Xiaodong Qi, Yin Yang, Zhao Zhang, Cheqing Jin, Aoying Zhou
    http://arxiv.org/abs/2007.07642v1

    • [cs.DC]Peregrine 2.0: Explaining Correctness of Population Protocols through Stage Graphs
    Javier Esparza, Martin Helfrich, Stefan Jaax, Philipp J. Meyer
    http://arxiv.org/abs/2007.07638v1

    • [cs.DC]Serverless inferencing on Kubernetes
    Clive Cox, Dan Sun, Ellis Tarn, Animesh Singh, David Goodwin
    http://arxiv.org/abs/2007.07366v1

    • [cs.HC]Content-based Recommendations for Radio Stations with Deep Learned Audio Fingerprints
    Stefan Langer, Liza Obermeier, André Ebert, Markus Friedrich, Emma Munisamy, Claudia Linnhoff-Popien
    http://arxiv.org/abs/2007.07486v1

    • [cs.IR]Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset
    Edwin Zhang, Nikhil Gupta, Raphael Tang, Xiao Han, Ronak Pradeep, Kuang Lu, Yue Zhang, Rodrigo Nogueira, Kyunghyun Cho, Hui Fang, Jimmy Lin
    http://arxiv.org/abs/2007.07846v1

    • [cs.IT]1-Bit Compressive Sensing via Approximate Message Passing with Built-in Parameter Estimation
    Shuai Huang, Trac D. Tran
    http://arxiv.org/abs/2007.07679v1

    • [cs.IT]Coded Caching with Demand Privacy: Constructions for Lower Subpacketization and Generalizations
    V R Aravind, Pradeep Kiran Sarvepalli, Andrew Thangaraj
    http://arxiv.org/abs/2007.07475v1

    • [cs.IT]Coding Theorems for Noisy Permutation Channels
    Anuran Makur
    http://arxiv.org/abs/2007.07507v1

    • [cs.IT]Energy-Efficient Resource Management for Federated Edge Learning with CPU-GPU Heterogeneous Computing
    Qunsong Zeng, Yuqing Du, Kaibin Huang, Kin K. Leung
    http://arxiv.org/abs/2007.07122v2

    • [cs.IT]Extending Coggia-Couvreur Attack on Loidreau’s Rank-metric Cryptosystem
    Anirban Ghatak
    http://arxiv.org/abs/2007.07354v1

    • [cs.IT]Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical Analysis
    Yifei Shen, Yuanming Shi, Jun Zhang, Khaled B. Letaief
    http://arxiv.org/abs/2007.07632v1

    • [cs.IT]High-Throughput VLSI Architecture for GRAND
    Syed Mohsin Abbas, Thibaud Tonnellier, Furkan Ercan, Warren J. Gross
    http://arxiv.org/abs/2007.07328v1

    • [cs.IT]On The Optimal Number of Reflecting Elements for Reconfigurable Intelligent Surfaces
    Alessio Zappone, Marco Di Renzo, Xiaojun Xi, Merouane Debbah
    http://arxiv.org/abs/2007.07665v1

    • [cs.LG]A General Family of Stochastic Proximal Gradient Methods for Deep Learning
    Jihun Yun, Aurelie C. Lozano, Eunho Yang
    http://arxiv.org/abs/2007.07484v1

    • [cs.LG]A Pairwise Fair and Community-preserving Approach to k-Center Clustering
    Brian Brubach, Darshan Chakrabarti, John P. Dickerson, Samir Khuller, Aravind Srinivasan, Leonidas Tsepenekas
    http://arxiv.org/abs/2007.07384v1

    • [cs.LG]Active World Model Learning with Progress Curiosity
    Kuno Kim, Megumi Sano, Julian De Freitas, Nick Haber, Daniel Yamins
    http://arxiv.org/abs/2007.07853v1

    • [cs.LG]AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows
    Hadi M. Dolatabadi, Sarah Erfani, Christopher Leckie
    http://arxiv.org/abs/2007.07435v1

    • [cs.LG]Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics
    Vinay V. Ramasesh, Ethan Dyer, Maithra Raghu
    http://arxiv.org/abs/2007.07400v1

    • [cs.LG]Are Hyperbolic Representations in Graphs Created Equal?
    Max Kochurov, Sergey Ivanov, Eugeny Burnaev
    http://arxiv.org/abs/2007.07698v1

    • [cs.LG]Concept Learners for Generalizable Few-Shot Learning
    Kaidi Cao, Maria Brbic, Jure Leskovec
    http://arxiv.org/abs/2007.07375v1

    • [cs.LG]Deep Representation Learning and Clustering of Traffic Scenarios
    Nick Harmening, Marin Biloš, Stephan Günnemann
    http://arxiv.org/abs/2007.07740v1

    • [cs.LG]Efficient Online Estimation of Empowerment for Reinforcement Learning
    Ruihan Zhao, Pieter Abbeel, Stas Tiomkin
    http://arxiv.org/abs/2007.07356v1

    • [cs.LG]Experimental Design for Bathymetry Editing
    Julaiti Alafate, Yoav Freund, David T. Sandwell, Brook Tozer
    http://arxiv.org/abs/2007.07495v1

    • [cs.LG]Fast Differentiable Clipping-Aware Normalization and Rescaling
    Jonas Rauber, Matthias Bethge
    http://arxiv.org/abs/2007.07677v1

    • [cs.LG]FetchSGD: Communication-Efficient Federated Learning with Sketching
    Daniel Rothchild, Ashwinee Panda, Enayat Ullah, Nikita Ivkin, Ion Stoica, Vladimir Braverman, Joseph Gonzalez, Raman Arora
    http://arxiv.org/abs/2007.07682v1

    • [cs.LG]Focus-and-Expand: Training Guidance Through Gradual Manipulation of Input Features
    Moab Arar, Noa Fish, Dani Daniel, Evgeny Tenetov, Ariel Shamir, Amit Bermano
    http://arxiv.org/abs/2007.07723v1

    • [cs.LG]Generic Outlier Detection in Multi-Armed Bandit
    Yikun Ban, Jingrui He
    http://arxiv.org/abs/2007.07293v1

    • [cs.LG]Identifying Reward Functions using Anchor Actions
    Sinong Geng, Houssam Nassif, Carlos A. Manzanares, A. Max Reppen, Ronnie Sircar
    http://arxiv.org/abs/2007.07443v1

    • [cs.LG]Importance of Tuning Hyperparameters of Machine Learning Algorithms
    Hilde J. P. Weerts, Andreas C. Mueller, Joaquin Vanschoren
    http://arxiv.org/abs/2007.07588v1

    • [cs.LG]Inverse Reinforcement Learning from a Gradient-based Learner
    Giorgia Ramponi, Gianluca Drappo, Marcello Restelli
    http://arxiv.org/abs/2007.07812v1

    • [cs.LG]Label Propagation with Augmented Anchors: A Simple Semi-Supervised Learning baseline for Unsupervised Domain Adaptation
    Yabin Zhang, Bin Deng, Kui Jia, Lei Zhang
    http://arxiv.org/abs/2007.07695v1

    • [cs.LG]Layer-Parallel Training with GPU Concurrency of Deep Residual Neural Networks Via Nonlinear Multigrid
    Andrew C. Kirby, Siddharth Samsi, Michael Jones, Albert Reuther, Jeremy Kepner, Vijay Gadepally
    http://arxiv.org/abs/2007.07336v1

    • [cs.LG]Learning Invariances for Interpretability using Supervised VAE
    An-phi Nguyen, María Rodríguez Martínez
    http://arxiv.org/abs/2007.07591v1

    • [cs.LG]Learning Syllogism with Euler Neural-Networks
    Tiansi Dong, Chengjiang Li, Christian Bauckhage, Juanzi Li, Stefan Wrobel, Armin B. Cremers
    http://arxiv.org/abs/2007.07320v1

    • [cs.LG]Learning to Sample with Local and Global Contexts in Experience Replay Buffer
    Youngmin Oh, Kimin Lee, Jinwoo Shin, Eunho Yang, Sung Ju Hwang
    http://arxiv.org/abs/2007.07358v1

    • [cs.LG]Lifelong Learning of Compositional Structures
    Jorge A. Mendez, Eric Eaton
    http://arxiv.org/abs/2007.07732v1

    • [cs.LG]Long-tail learning via logit adjustment
    Aditya Krishna Menon, Sadeep Jayasumana, Ankit Singh Rawat, Himanshu Jain, Andreas Veit, Sanjiv Kumar
    http://arxiv.org/abs/2007.07314v1

    • [cs.LG]MTS-CycleGAN: An Adversarial-based Deep Mapping Learning Network for Multivariate Time Series Domain Adaptation Applied to the Ironmaking Industry
    Cedric Schockaert, Henri Hoyez
    http://arxiv.org/abs/2007.07518v1

    • [cs.LG]Misclassification cost-sensitive ensemble learning: A unifying framework
    George Petrides, Wouter Verbeke
    http://arxiv.org/abs/2007.07361v1

    • [cs.LG]Mixture Complexity and Its Application to Gradual Clustering Change Detection
    Shunki Kyoya, Kenji Yamanishi
    http://arxiv.org/abs/2007.07467v1

    • [cs.LG]Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity
    Kaiqing Zhang, Sham M. Kakade, Tamer Başar, Lin F. Yang
    http://arxiv.org/abs/2007.07461v1

    • [cs.LG]Neural Topic Models with Survival Supervision: Jointly Predicting Time-to-Event Outcomes and Learning How Clinical Features Relate
    Linhong Li, Ren Zuo, Amanda Coston, Jeremy C. Weiss, George H. Chen
    http://arxiv.org/abs/2007.07796v1

    • [cs.LG]Newton-based Policy Optimization for Games
    Giorgia Ramponi, Marcello Restelli
    http://arxiv.org/abs/2007.07804v1

    • [cs.LG]Non-greedy Gradient-based Hyperparameter Optimization Over Long Horizons
    Paul Micaelli, Amos Storkey
    http://arxiv.org/abs/2007.07869v1

    • [cs.LG]On quantitative aspects of model interpretability
    An-phi Nguyen, María Rodríguez Martínez
    http://arxiv.org/abs/2007.07584v1

    • [cs.LG]On the Inclusion of Spatial Information for Spatio-Temporal Neural Networks
    Rodrigo de Medrano, José L. Aznarte
    http://arxiv.org/abs/2007.07559v1

    • [cs.LG]Optimal Learning for Structured Bandits
    Bart P. G. Van Parys, Negin Golrezaei
    http://arxiv.org/abs/2007.07302v1

    • [cs.LG]Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning
    Shauharda Khadka, Estelle Aflalo, Mattias Marder, Avrech Ben-David, Santiago Miret, Hanlin Tang, Shie Mannor, Tamir Hazan, Somdeb Majumdar
    http://arxiv.org/abs/2007.07298v1

    • [cs.LG]Phase diagram for two-layer ReLU neural networks at infinite-width limit
    Tao Luo, Zhi-Qin John Xu, Zheng Ma, Yaoyu Zhang
    http://arxiv.org/abs/2007.07497v1

    • [cs.LG]Qgraph-bounded Q-learning: Stabilizing Model-Free Off-Policy Deep Reinforcement Learning
    Sabrina Hoppe, Marc Toussaint
    http://arxiv.org/abs/2007.07582v1

    • [cs.LG]Quantifying and Reducing Bias in Maximum Likelihood Estimation of Structured Anomalies
    Uthsav Chitra, Kimberly Ding, Benjamin J. Raphael
    http://arxiv.org/abs/2007.07878v1

    • [cs.LG]Shuffling Recurrent Neural Networks
    Michael Rotman, Lior Wolf
    http://arxiv.org/abs/2007.07324v1

    • [cs.LG]SpaceNet: Make Free Space For Continual Learning
    Ghada Sokar, Decebal Constantin Mocanu, Mykola Pechenizkiy
    http://arxiv.org/abs/2007.07617v1

    • [cs.LG]Streaming Probabilistic Deep Tensor Factorization
    Shikai Fang, Zheng Wang, Zhimeng Pan, Ji Liu, Shandian Zhe
    http://arxiv.org/abs/2007.07367v1

    • [cs.LG]Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization
    Jianyu Wang, Qinghua Liu, Hao Liang, Gauri Joshi, H. Vincent Poor
    http://arxiv.org/abs/2007.07481v1

    • [cs.LG]Upper Counterfactual Confidence Bounds: a New Optimism Principle for Contextual Bandits
    Yunbei Xu, Assaf Zeevi
    http://arxiv.org/abs/2007.07876v1

    • [cs.LG]timeXplain — A Framework for Explaining the Predictions of Time Series Classifiers
    Felix Mujkanovic, Vanja Doskoč, Martin Schirneck, Patrick Schäfer, Tobias Friedrich
    http://arxiv.org/abs/2007.07606v1

    • [cs.NE]Spiking neural state machine for gait frequency entrainment in a flexible modular robot
    Alex Spaeth, Maryam Tebyani, David Haussler, Mircea Teodorescu
    http://arxiv.org/abs/2007.07346v1

    • [cs.NI]NDNTP: A Named Data Networking Time Protocol
    Abderrahmen Mtibaa, Spyridon Mastorakis
    http://arxiv.org/abs/2007.07807v1

    • [cs.RO]Developmental Reinforcement Learning of Control Policy of a Quadcopter UAV with Thrust Vectoring Rotors
    Aditya M. Deshpande, Rumit Kumar, Ali A. Minai, Manish Kumar
    http://arxiv.org/abs/2007.07793v1

    • [cs.RO]Hardware Acceleration of Monte-Carlo Sampling for Energy Efficient Robust Robot Manipulation
    Yanqi Liu, Giuseppe Calderoni, R. Iris Bahar
    http://arxiv.org/abs/2007.07425v1

    • [cs.RO]Relative Pose Estimation of Calibrated Cameras with Known $\mathrm{SE}(3)$ Invariants
    Bo Li, Evgeniy Martyushev, Gim Hee Lee
    http://arxiv.org/abs/2007.07686v1

    • [cs.SE]Opening the Software Engineering Toolbox for the Assessment of Trustworthy AI
    Mohit Kumar Ahuja, Mohamed-Bachir Belaid, Pierre Bernabé, Mathieu Collet, Arnaud Gotlieb, Chhagan Lal, Dusica Marijan, Sagar Sen, Aizaz Sharif, Helge Spieker
    http://arxiv.org/abs/2007.07768v1

    • [cs.SE]Towards an Interface Description Template for AI-enabled Systems
    Niloofar Shadab, Alejandro Salado
    http://arxiv.org/abs/2007.07250v1

    • [cs.SI]Bot-Match: Social Bot Detection with Recursive Nearest Neighbors Search
    David M. Beskow, Kathleen M. Carley
    http://arxiv.org/abs/2007.07636v1

    • [cs.SI]Combating Disinformation in a Social Media Age
    Kai Shu, Amrita Bhattacharjee, Faisal Alatawi, Tahora Nazer, Kaize Ding, Mansooreh Karami, Huan Liu
    http://arxiv.org/abs/2007.07388v1

    • [cs.SI]Individual Factors that Influence Effort and Contributions on Wikipedia
    Luiz F. Pinto, Carlos Denner dos Santos, Silvia Onoyama
    http://arxiv.org/abs/2007.07333v1

    • [cs.SI]Preliminary Results from a Peer-Led, Social Network Intervention, Augmented by Artificial Intelligence to Prevent HIV among Youth Experiencing Homelessness
    Eric Rice, Laura Onasch-Vera, Graham T. DiGuiseppi, Bryan Wilder, Robin Petering, Chyna Hill, Amulya Yadav, Milind Tambe
    http://arxiv.org/abs/2007.07747v1

    • [cs.SI]ReAD: A Regional Anomaly Detection Framework Based on Dynamic Partition
    Huaishao Luo, Chuishi Meng, Bowen Wu, Junbo Zhang, Tianrui Li, Yu Zheng
    http://arxiv.org/abs/2007.06794v2

    • [eess.AS]Cross-Lingual Speaker Verification with Domain-Balanced Hard Prototype Mining and Language-Dependent Score Normalization
    Jenthe Thienpondt, Brecht Desplanques, Kris Demuynck
    http://arxiv.org/abs/2007.07689v1

    • [eess.IV]Monocular Retinal Depth Estimation and Joint Optic Disc and Cup Segmentation using Adversarial Networks
    Sharath M Shankaranarayana, Keerthi Ram, Kaushik Mitra, Mohanasankar Sivaprakasam
    http://arxiv.org/abs/2007.07502v1

    • [eess.SP]3D Polarized Modulation: System Analysis and Performance
    Pol Henarejos, Ana I. Pérez-Neira
    http://arxiv.org/abs/2007.07675v1

    • [eess.SP]Decoding 5G-NR Communications via Deep Learning
    Pol Henarejos, Miguel Ángel Vázquez
    http://arxiv.org/abs/2007.07644v1

    • [eess.SP]Group Invariant Dictionary Learning
    Yong Sheng Soh
    http://arxiv.org/abs/2007.07550v1

    • [math.OC]On stochastic mirror descent with interacting particles: convergence properties and variance reduction
    Anastasia Borovykh, Nikolas Kantas, Panos Parpas, Grigorios A. Pavliotis
    http://arxiv.org/abs/2007.07704v1

    • [math.ST]A Bayesian Multiple Testing Paradigm for Model Selection in Inverse Regression Problems
    Debashis Chatterjee, Sourabh Bhattacharya
    http://arxiv.org/abs/2007.07847v1

    • [math.ST]Adaptive Quantile Trend Filtering
    Oscar Hernan Madrid Padilla, Sabyasachi Chatterjee
    http://arxiv.org/abs/2007.07472v1

    • [math.ST]Stationarity and ergodic properties for some observation-driven models in random environments
    Paul Doukhan, Michael H. Neumann, Lionel Truquet
    http://arxiv.org/abs/2007.07623v1

    • [physics.chem-ph]Deep Learning for UV Absorption Spectra with SchNarc: First Steps Towards Transferability in Chemical Compound Space
    Julia Westermayr, Philipp Marquetand
    http://arxiv.org/abs/2007.07684v1

    • [physics.data-an]Supervised learning from noisy observations: Combining machine-learning techniques with data assimilation
    Georg A. Gottwald, Sebastian Reich
    http://arxiv.org/abs/2007.07383v1

    • [physics.soc-ph]Motifs for processes on networks
    Alice C. Schwarze, Mason A. Porter
    http://arxiv.org/abs/2007.07447v1

    • [q-bio.NC]Inferring network properties from time series via transfer entropy and mutual information: validation of bivariate versus multivariate approaches
    Leonardo Novelli, Joseph T. Lizier
    http://arxiv.org/abs/2007.07500v1

    • [stat.AP]Ordinal Regression with Fenton-Wilkinson Order Statistics: A Case Study of an Orienteering Race
    Joonas Pääkkönen
    http://arxiv.org/abs/2007.07369v1

    • [stat.AP]Predication of Inflection Point and Outbreak Size of COVID-19 in New Epicentres
    Qibin Duan, Jinran Wu, Gaojun Wu, You-Gan Wang
    http://arxiv.org/abs/2007.07471v1

    • [stat.AP]Statistical analysis of two arm randomized pre-post design with one post-treatment measurement
    Fei Wan
    http://arxiv.org/abs/2007.07881v1

    • [stat.ME]Estimation of testing bias in covid-19
    Daniel Andrés Díaz-Pachón, J Sunil Rao
    http://arxiv.org/abs/2007.07426v1

    • [stat.ME]Meta-analysis parameters computation: a Python approach to facilitate the crossing of experimental conditions
    Flavien Quijoux, Charles Truong, Aliénor Vienne-Jumeau, Laurent Oudre, François BERTIN-HUGAULT, Philippe ZAWIEJA, Marie LEFEVRE, Pierre-Paul VIDAL, Damien RICARD
    http://arxiv.org/abs/2007.07799v1

    • [stat.ME]Scalable Bayesian modeling for smoothing disease risks in large spatial data sets
    E. Orozco-Acosta, A. Adin, M. D. Ugarte
    http://arxiv.org/abs/2007.07724v1

    • [stat.ME]Statistical Evaluation of Medical Tests
    Vanda Inacio, Maria Xose Rodriguez-Alvarez, Pilar Gayoso-Diz
    http://arxiv.org/abs/2007.07687v1

    • [stat.ME]Testing biodiversity using inhomogeneous summary statistics
    M. C. de Jongh, M. N. M. van Lieshout
    http://arxiv.org/abs/2007.07635v1

    • [stat.ML]Explicit Regularisation in Gaussian Noise Injections
    Alexander Camuto, Matthew Willetts, Umut Şimşekli, Stephen Roberts, Chris Holmes
    http://arxiv.org/abs/2007.07368v1

    • [stat.ML]From d
    63c1
    eep to Shallow: Equivalent Forms of Deep Networks in Reproducing Kernel Krein Space and Indefinite Support Vector Machines
    Alistair Shilton
    http://arxiv.org/abs/2007.07459v1

    • [stat.ML]Highway Traffic State Estimation Using Physics Regularized Gaussian Process: Discretized Formulation
    Yun Yuan, Zhao Zhang, Xianfeng Terry Yang
    http://arxiv.org/abs/2007.07762v1

    • [stat.ML]Measurement error models: from nonparametric methods to deep neural networks
    Zhirui Hu, Zheng Tracy Ke, Jun S Liu
    http://arxiv.org/abs/2007.07498v1

    • [stat.ML]Relaxed-Responsibility Hierarchical Discrete VAEs
    Matthew Willetts, Xenia Miscouridou, Stephen Roberts, Chris Holmes
    http://arxiv.org/abs/2007.07307v1

    • [stat.ML]Sketching for Two-Stage Least Squares Estimation
    Sokbae Lee, Serena Ng
    http://arxiv.org/abs/2007.07781v1

    • [stat.ML]Statistical Inference for Networks of High-Dimensional Point Processes
    Xu Wang, Mladen Kolar, Ali Shojaie
    http://arxiv.org/abs/2007.07448v1

    • [stat.ML]Towards a Theoretical Understanding of the Robustness of Variational Autoencoders
    Alexander Camuto, Matthew Willetts, Stephen Roberts, Chris Holmes, Tom Rainforth
    http://arxiv.org/abs/2007.07365v1