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.DS - 数据结构与算法 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.MM - 多媒体 cs.MS - 数学软件 cs.NE - 神经与进化计算 cs.PF - 计算性能 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 eess.SY - 系统和控制 hep-lat - 高能物理晶格 math.CO - 组合数学 math.NT - 数论 math.PR - 概率 math.ST - 统计理论 physics.ed-ph - 物理教育 q-bio.QM - 定量方法 q-fin.GN - 通用财务 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]A Hybrid Model for Learning Embeddings and Logical Rules Simultaneously from Knowledge Graphs
    • [cs.AI]Efficient Incremental Modelling and Solving
    • [cs.AI]Hierarchical Affordance Discovery using Intrinsic Motivation
    • [cs.AI]Randomized fast no-loss expert system to play tic tac toe like a human
    • [cs.AI]The Scheduling Job-Set Optimization Problem: A Model-Based Diagnosis Approach
    • [cs.AI]Using Unsupervised Learning to Help Discover the Causal Graph
    • [cs.CL]A Comparative Study on Structural and Semantic Properties of Sentence Embeddings
    • [cs.CL]A Token-wise CNN-based Method for Sentence Compression
    • [cs.CL]Controlling Style in Generated Dialogue
    • [cs.CL]Crosslingual Topic Modeling with WikiPDA
    • [cs.CL]Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics
    • [cs.CL]Evolution of Part-of-Speech in Classical Chinese
    • [cs.CL]Exploiting Vietnamese Social Media Characteristics for Textual Emotion Recognition in Vietnamese
    • [cs.CL]Ghmerti at SemEval-2019 Task 6: A Deep Word- and Character-based Approach to Offensive Language Identification
    • [cs.CL]Harnessing Multilinguality in Unsupervised Machine Translation for Rare Languages
    • [cs.CL]Hierarchical Pre-training for Sequence Labelling in Spoken Dialog
    • [cs.CL]Investigating Machine Learning Methods for Language and Dialect Identification of Cuneiform Texts
    • [cs.CL]Keeping Up Appearances: Computational Modeling of Face Acts in Persuasion Oriented Discussions
    • [cs.CL]KoBE: Knowledge-Based Machine Translation Evaluation
    • [cs.CL]LA-HCN: Label-based Attention for Hierarchical Multi-label TextClassification Neural Network
    • [cs.CL]Lifelong Learning Dialogue Systems: Chatbots that Self-Learn On the Job
    • [cs.CL]On Data Augmentation for Extreme Multi-label Classification
    • [cs.CL]On the Ability of Self-Attention Networks to Recognize Counter Languages
    • [cs.CL]Seq2Edits: Sequence Transduction Using Span-level Edit Operations
    • [cs.CL]Streamlining Cross-Document Coreference Resolution: Evaluation and Modeling
    • [cs.CL]The Persian Dependency Treebank Made Universal
    • [cs.CL]The Struggles of Feature-Based Explanations: Shapley Values vs. Minimal Sufficient Subsets
    • [cs.CL]Vector Projection Network for Few-shot Slot Tagging in Natural Language Understanding
    • [cs.CL]Worst-Case-Aware Curriculum Learning for Zero and Few Shot Transfer
    • [cs.CR]A Partial Break of the Honeypots Defense to Catch Adversarial Attacks
    • [cs.CR]Distributed Differentially Private Mutual Information Ranking and Its Applications
    • [cs.CR]FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning
    • [cs.CR]Reliable, Fair and Decentralized Marketplace for Content Sharing Using Blockchain
    • [cs.CV]2D-3D Geometric Fusion Network using Multi-Neighbourhood Graph Convolution for RGB-D Indoor Scene Classification
    • [cs.CV]A Linear Transportation $\mathrm{L}^p$ Distance for Pattern Recognition
    • [cs.CV]A Real-time Vision Framework for Pedestrian Behavior Recognition and Intention Prediction at Intersections Using 3D Pose Estimation
    • [cs.CV]A Simple Yet Effective Method for Video Temporal Grounding with Cross-Modality Attention
    • [cs.CV]A Sparse Sampling-based framework for Semantic Fast-Forward of First-Person Videos
    • [cs.CV]Angular Luminance for Material Segmentation
    • [cs.CV]Augmented Convolutional LSTMs for Generation of High-Resolution Climate Change Projections
    • [cs.CV]CLASS: Cross-Level Attention and Supervision for Salient Objects Detection
    • [cs.CV]Depth-Adapted CNN for RGB-D cameras
    • [cs.CV]Differential Viewpoints for Ground Terrain Material Recognition
    • [cs.CV]Efficient DWT-based fusion techniques using genetic algorithm for optimal parameter estimation
    • [cs.CV]Exploring global diverse attention via pairwise temporal relation for video summarization
    • [cs.CV]Extreme compression of grayscale images
    • [cs.CV]Few-shot Font Generation with Localized Style Representations and Factorization
    • [cs.CV]Generative Model without Prior Distribution Matching
    • [cs.CV]Hamming OCR: A Locality Sensitive Hashing Neural Network for Scene Text Recognition
    • [cs.CV]Improving Point Cloud Semantic Segmentation by Learning 3D Object Proposal Generation
    • [cs.CV]Information-Theoretic Visual Explanation for Black-Box Classifiers
    • [cs.CV]Interactive Learning for Semantic Segmentation in Earth Observation
    • [cs.CV]Kernelized dense layers for facial expression recognition
    • [cs.CV]Label-Efficient Multi-Task Segmentation using Contrastive Learning
    • [cs.CV]Learning Visual Voice Activity Detection with an Automatically Annotated Dataset
    • [cs.CV]Leveraging Local and Global Descriptors in Parallel to Search Correspondences for Visual Localization
    • [cs.CV]LoRRaL: Facial Action Unit Detection Based on Local Region Relation Learning
    • [cs.CV]MAFF-Net: Filter False Positive for 3D Vehicle Detection with Multi-modal Adaptive Feature Fusion
    • [cs.CV]Multiple interaction learning with question-type prior knowledge for constraining answer search space in visual question answering
    • [cs.CV]Multiplexed Illumination for Classifying Visually Similar Objects
    • [cs.CV]Residual Embedding Similarity-Based Network Selection for Predicting Brain Network Evolution Trajectory from a Single Observation
    • [cs.CV]Robust and efficient post-processing for video object detection
    • [cs.CV]Role of Orthogonality Constraints in Improving Properties of Deep Networks for Image Classification
    • [cs.CV]Scene Graph to Image Generation with Contextualized Object Layout Refinement
    • [cs.CV]Segmentation and Defect Classification of the Power Line Insulators: A Deep Learning-based Approach
    • [cs.CV]Spatial-Temporal Block and LSTM Network for Pedestrian Trajectories Prediction
    • [cs.CV]Towards image-based automatic meter reading in unconstrained scenarios: A robust and efficient approach
    • [cs.CV]Unsupervised Feature Learning for Event Data: Direct vs Inverse Problem Formulation
    • [cs.CV]What is the Reward for Handwriting? — Handwriting Generation by Imitation Learning
    • [cs.CV]X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers
    • [cs.CY]A narrowing of AI research?
    • [cs.CY]Accurate and Interpretable Machine Learning for Transparent Pricing of Health Insurance Plans
    • [cs.CY]Ethical Machine Learning in Health Care
    • [cs.CY]Logic Programming and Machine Ethics
    • [cs.DC]Applying the Roofline model for Deep Learning performance optimizations
    • [cs.DC]Dynamic Fusion based Federated Learning for COVID-19 Detection
    • [cs.DC]Enhancing Resource Management through Prediction-based Policies
    • [cs.DC]FusionStitching: Boosting Memory Intensive Computations for Deep Learning Workloads
    • [cs.DC]GraphPi: High Performance Graph Pattern Matching through Effective Redundancy Elimination
    • [cs.DC]Time-Optimal Self-Stabilizing Leader Election on Rings in Population Protocols
    • [cs.DS]On the Locality of Nash-Williams Forest Decomposition and Star-Forest Decomposition
    • [cs.DS]Timeliness-aware On-site Planning Method for Tour Navigation
    • [cs.HC]Studying Person-Specific Pointing and Gaze Behavior for Multimodal Referencing of Outside Objects from a Moving Vehicle
    • [cs.IR]Using the Hammer Only on Nails: A Hybrid Method for Evidence Retrieval for Question Answering
    • [cs.IT]A Coded Caching Scheme with Linear Sub-packetization and its Application to Multi-Access Coded Caching
    • [cs.IT]Fundamental Limits of Byzantine Agreement
    • [cs.IT]Matrix Decomposition for Massive MIMO Detection
    • [cs.IT]On Hybrid-ARQ-Based Intelligent Reflecting Surface-Assisted Communication System
    • [cs.IT]Optimal Resource Allocation for Multi-user OFDMA-URLLC MEC Systems
    • [cs.IT]Real-time Millimeter Wave Omnidirectional Channel Sounder Using Phased Array Antennas
    • [cs.IT]SPARC-LDPC Coding for MIMO Massive Unsourced Random Access
    • [cs.IT]Strongly Convex Divergences
    • [cs.IT]Terahertz Massive MIMO with Holographic Reconfigurable Intelligent Surfaces
    • [cs.LG]ANNdotNET — deep learning tool on .NET Platform
    • [cs.LG]Contextual Bandits for adapting to changing User preferences over time
    • [cs.LG]DTI-SNNFRA: Drug-Target interaction prediction by shared nearest neighbors and fuzzy-rough approximation
    • [cs.LG]Deep Neural Tangent Kernel and Laplace Kernel Have the Same RKHS
    • [cs.LG]Deep multi-stations weather forecasting: explainable recurrent convolutional neural networks
    • [cs.LG]FedCluster: Boosting the Convergence of Federated Learning via Cluster-Cycling
    • [cs.LG]Fuzzy Simplicial Networks: A Topology-Inspired Model to Improve Task Generalization in Few-shot Learning
    • [cs.LG]Implicit Gradient Regularization
    • [cs.LG]Improving Medical Annotation Quality to Decrease Labeling Burden Using Stratified Noisy Cross-Validation
    • [cs.LG]Learn to Exceed: Stereo Inverse Reinforcement Learning with Concurrent Policy Optimization
    • [cs.LG]Message Passing for Hyper-Relational Knowledge Graphs
    • [cs.LG]Model-Centric and Data-Centric Aspects of Active Learning for Neural Network Models
    • [cs.LG]My Health Sensor, my Classifier: Adapting a Trained Classifier to Unlabeled End-User Data
    • [cs.LG]Online AUC Optimization for Sparse High-Dimensional Datasets
    • [cs.LG]Probabilistic Label Trees for Extreme Multi-label Classification
    • [cs.LG]Pruning Convolutional Filters using Batch Bridgeout
    • [cs.LG]Representation Learning from Limited Educational Data with Crowdsourced Labels
    • [cs.LG]Revisiting Design Choices in Proximal Policy Optimization
    • [cs.LG]Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot
    • [cs.LG]Semantics-Preserving Adversarial Training
    • [cs.LG]Streaming Graph Neural Networks via Continual Learning
    • [cs.LG]Supervised Multi-topology Network Cross-diffusion for Population-driven Brain Network Atlas Estimation
    • [cs.LG]Tasks, stability, architecture, and compute: Training more effective learned optimizers, and using them to train themselves
    • [cs.LG]Text Classification with Novelty Detection
    • [cs.LG]Topology-Aware Generative Adversarial Network for Joint Prediction of Multiple Brain Graphs from a Single Brain Graph
    • [cs.LG]Towards a Flexible Embedding Learning Framework
    • [cs.LG]Using Machine Learning to Develop a Novel COVID-19 Vulnerability Index (C19VI)
    • [cs.LG]Using Under-trained Deep Ensembles to Learn Under Extreme Label Noise
    • [cs.LO]LTLf Synthesis on Probabilistic Systems
    • [cs.LO]Symbolic Execution + Model Counting + Entropy Maximization = Automatic Search Synthesis
    • [cs.MM]Cosine Similarity of Multimodal Content Vectors for TV Programmes
    • [cs.MS]Portable high-order finite element kernels I: Streaming Operations
    • [cs.NE]Procrustes: a Dataflow and Accelerator for Sparse Deep Neural Network Training
    • [cs.PF]ReLeaSER: A Reinforcement Learning Strategy for Optimizing Utilization Of Ephemeral Cloud Resources
    • [cs.RO]A Fleet Learning Architecture for Enhanced Behavior Predictions during Challenging External Conditions
    • [cs.RO]Behavioral Repertoires for Soft Tensegrity Robots
    • [cs.RO]ContactNets: Learning of Discontinuous Contact Dynamics with Smooth, Implicit Representations
    • [cs.RO]DL-IAPS and PJSO: A Path/Speed Decoupled Trajectory Optimization and its Application in Autonomous Driving
    • [cs.RO]Data-Driven Distributed State Estimation and Behavior Modeling in Sensor Networks
    • [cs.RO]Dual-SLAM: A framework for robust single camera navigation
    • [cs.RO]PICs for TECH: Pose Imitation Constraints (PICs) for TEaching Collaborative Heterogeneous robots (TECH)
    • [cs.RO]Robust Reinforcement Learning-based Autonomous Driving Agent for Simulation and Real World
    • [cs.SI]Explaining Gender Differences in Academics’ Career Trajectories
    • [cs.SI]My tweets bring all the traits to the yard: Predicting personality and relational traits in Online Social Networks
    • [cs.SI]Preserving Integrity in Online Social Networks
    • [cs.SI]The cost of coordination can exceed the benefit of collaboration in performing complex tasks
    • [cs.SI]Too big to see: exploring proxies of structure in a real large-scale university-industry cooperation network
    • [eess.AS]Attention Driven Fusion for Multi-Modal Emotion Recognition
    • [eess.AS]End-to-End Speech Recognition and Disfluency Removal
    • [eess.IV]Adaptive Debanding Filter
    • [eess.IV]Age-Net: An MRI-Based Iterative Framework for Biological Age Estimation
    • [eess.IV]Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI
    • [eess.IV]Attention with Multiple Sources Knowledges for COVID-19 from CT Images
    • [eess.IV]Automatic Breast Lesion Classification by Joint Neural Analysis of Mammography and Ultrasound
    • [eess.IV]CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation
    • [eess.IV]CCBlock: An Effective Use of Deep Learning for Automatic Diagnosis of COVID-19 Using X-Ray Images
    • [eess.IV]Cranial Implant Prediction using Low-Resolution 3D Shape Completion and High-Resolution 2D Refinement
    • [eess.IV]Federated Learning for Computational Pathology on Gigapixel Whole Slide Images
    • [eess.IV]Foreseeing Brain Graph Evolution Over Time Using Deep Adversarial Network Normalizer
    • [eess.IV]GSR-Net: Graph Super-Resolution Network for Predicting High-Resolution from Low-Resolution Functional Brain Connectomes
    • [eess.IV]Learning Non-Unique Segmentation with Reward-Penalty Dice Loss
    • [eess.IV]Robustification of Segmentation Models Against Adversarial Perturbations In Medical Imaging
    • [eess.IV]Whole Slide Images based Cancer Survival Prediction using Attention Guided Deep Multiple Instance Learning Networks
    • [eess.SP]An electronic neuromorphic system for real-time detection of High Frequency Oscillations (HFOs) in intracranial EEG
    • [eess.SP]Multi-Agent Deep Reinforcement Learning Based Trajectory Planning for Multi-UAV Assisted Mobile Edge Computing
    • [eess.SY]A Multi-Agent Deep Reinforcement Learning Approach for a Distributed Energy Marketplace in Smart Grids
    • [eess.SY]Demand Responsive Dynamic Pricing Framework for Prosumer Dominated Microgrids using Multiagent Reinforcement Learning
    • [eess.SY]Factor Graph-Based Smoothing Without Matrix Inversion for Highly Precise Localization
    • [hep-lat]Machine-learning physics from unphysics: Finding deconfinement temperature in lattice Yang-Mills theories from outside the scaling window
    • [math.CO]On the number of contingency tables and the independence heuristic
    • [math.NT]Bent and $\mathbb Z_{2^k}$-bent functions from spread-like partitions
    • [math.PR]Entropic Compressibility of Lévy Processes
    • [math.ST]A projection-based model checking for heterogeneous treatment effect
    • [math.ST]Asymptotic independence of spiked eigenvalues and linear spectral statistics for large sample covariance matrices
    • [math.ST]Finite sample inference for generic autoregressive models
    • [math.ST]On IPW-based estimation of conditional average treatment effect
    • [math.ST]Permanental Graphs
    • [physics.ed-ph]Engaging Teachers to Co-Design Integrated AI Curriculum for K-12 Classrooms
    • [q-bio.QM]Drug Repurposing for COVID-19 using Graph Neural Network with Genetic, Mechanistic, and Epidemiological Validation
    • [q-fin.GN]Ants, robots, humans: a self-organizing, goal-driven modeling approach
    • [stat.AP]Application of Dynamic Linear Models to Random Allocation Clinical Trials with Covariates
    • [stat.AP]Using Undersampling with Ensemble Learning to Identify Factors Contributing to Preterm Birth
    • [stat.ME]An Information Theoretic approach to Post Randomization Methods under Differential Privacy
    • [stat.ME]An Introduction to Proximal Causal Learning
    • [stat.ME]Docs are ROCs: A simple off-the-shelf approach for estimating average human performance in diagnostic studies
    • [stat.ME]Factor analysis in high dimensional biological data with dependent observations
    • [stat.ME]Finite mixture modeling of censored and missing data using the multivariate skew-normal distribution
    • [stat.ME]Hierarchical Bayesian Bootstrap for Heterogeneous Treatment Effect Estimation
    • [stat.ME]Independent finite approximations for Bayesian nonparametric inference: construction, error bounds, and practical implications
    • [stat.ME]Modeling short-ranged dependence in block extrema with application to polar temperature data
    • [stat.ME]Stochastic Generalized Lotka-Volterra Model with An Application to Learning Microbial Community Structures
    • [stat.ML]An Intuitive Tutorial to Gaussian Processes Regression
    • [stat.ML]Estimation error analysis of deep learning on the regression problem on the variable exponent Besov space
    • [stat.ML]Learning Mixtures of Low-Rank Models
    • [stat.ML]Probabilistic Machine Learning for Healthcare

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    • [cs.AI]A Hybrid Model for Learning Embeddings and Logical Rules Simultaneously from Knowledge Graphs
    Susheel Suresh, Jennifer Neville
    http://arxiv.org/abs/2009.10800v1

    • [cs.AI]Efficient Incremental Modelling and Solving
    Gökberk Koçak, Özgür Akgün, Nguyen Dang, Ian Miguel
    http://arxiv.org/abs/2009.11111v1

    • [cs.AI]Hierarchical Affordance Discovery using Intrinsic Motivation
    Alexandre Manoury, Sao Mai Nguyen, Cédric Buche
    http://arxiv.org/abs/2009.10968v1

    • [cs.AI]Randomized fast no-loss expert system to play tic tac toe like a human
    Aditya Jyoti Paul
    http://arxiv.org/abs/2009.11225v1

    • [cs.AI]The Scheduling Job-Set Optimization Problem: A Model-Based Diagnosis Approach
    Patrick Rodler, Erich Teppan
    http://arxiv.org/abs/2009.11142v1

    • [cs.AI]Using Unsupervised Learning to Help Discover the Causal Graph
    Seamus Brady
    http://arxiv.org/abs/2009.10790v1

    • [cs.CL]A Comparative Study on Structural and Semantic Properties of Sentence Embeddings
    Alexander Kalinowski, Yuan An
    http://arxiv.org/abs/2009.11226v1

    • [cs.CL]A Token-wise CNN-based Method for Sentence Compression
    Weiwei Hou, Hanna Suominen, Piotr Koniusz, Sabrina Caldwell, Tom Gedeon
    http://arxiv.org/abs/2009.11260v1

    • [cs.CL]Controlling Style in Generated Dialogue
    Eric Michael Smith, Diana Gonzalez-Rico, Emily Dinan, Y-Lan Boureau
    http://arxiv.org/abs/2009.10855v1

    • [cs.CL]Crosslingual Topic Modeling with WikiPDA
    Tiziano Piccardi, Robert West
    http://arxiv.org/abs/2009.11207v1

    • [cs.CL]Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics
    Swabha Swayamdipta, Roy Schwartz, Nicholas Lourie, Yizhong Wang, Hannaneh Hajishirzi, Noah A. Smith, Yejin Choi
    http://arxiv.org/abs/2009.10795v1

    • [cs.CL]Evolution of Part-of-Speech in Classical Chinese
    Bai Li
    http://arxiv.org/abs/2009.11144v1

    • [cs.CL]Exploiting Vietnamese Social Media Characteristics for Textual Emotion Recognition in Vietnamese
    Khang Phuoc-Quy Nguyen, Kiet Van Nguyen
    http://arxiv.org/abs/2009.11005v1

    • [cs.CL]Ghmerti at SemEval-2019 Task 6: A Deep Word- and Character-based Approach to Offensive Language Identification
    Ehsan Doostmohammadi, Hossein Sameti, Ali Saffar
    http://arxiv.org/abs/2009.10792v1

    • [cs.CL]Harnessing Multilinguality in Unsupervised Machine Translation for Rare Languages
    Xavier Garcia, Aditya Siddhant, Orhan Firat, Ankur P. Parikh
    http://arxiv.org/abs/2009.11201v1

    • [cs.CL]Hierarchical Pre-training for Sequence Labelling in Spoken Dialog
    Emile Chapuis, Pierre Colombo, Matteo Manica, Matthieu Labeau, Chloe Clavel
    http://arxiv.org/abs/2009.11152v1

    • [cs.CL]Investigating Machine Learning Methods for Language and Dialect Identification of Cuneiform Texts
    Ehsan Doostmohammadi, Minoo Nassajian
    http://arxiv.org/abs/2009.10794v1

    • [cs.CL]Keeping Up Appearances: Computational Modeling of Face Acts in Persuasion Oriented Discussions
    Ritam Dutt, Rishabh Joshi, Carolyn Penstein Rose
    http://arxiv.org/abs/2009.10815v1

    • [cs.CL]KoBE: Knowledge-Based Machine Translation Evaluation
    Zorik Gekhman, Roee Aharoni, Genady Beryozkin, Markus Freitag, Wolfgang Macherey
    http://arxiv.org/abs/2009.11027v1

    • [cs.CL]LA-HCN: Label-based Attention for Hierarchical Multi-label TextClassification Neural Network
    Xinyi Zhang, Jiahao Xu, Charlie Soh, Lihui Chen
    http://arxiv.org/abs/2009.10938v1

    • [cs.CL]Lifelong Learning Dialogue Systems: Chatbots that Self-Learn On the Job
    Bing Liu, Sahisnu Mazumder
    http://arxiv.org/abs/2009.10750v1

    • [cs.CL]On Data Augmentation for Extreme Multi-label Classification
    Danqing Zhang, Tao Li, Haiyang Zhang, Bing Yin
    http://arxiv.org/abs/2009.10778v1

    • [cs.CL]On the Ability of Self-Attention Networks to Recognize Counter Languages
    Satwik Bhattamishra, Kabir Ahuja, Navin Goyal
    http://arxiv.org/abs/2009.11264v1

    • [cs.CL]Seq2Edits: Sequence Transduction Using Span-level Edit Operations
    Felix Stahlberg, Shankar Kumar
    http://arxiv.org/abs/2009.11136v1

    • [cs.CL]Streamlining Cross-Document Coreference Resolution: Evaluation and Modeling
    Arie Cattan, Alon Eirew, Gabriel Stanovsky, Mandar Joshi, Ido Dagan
    http://arxiv.org/abs/2009.11032v1

    • [cs.CL]The Persian Dependency Treebank Made Universal
    Mohammad Sadegh Rasooli, Pegah Safari, Amirsaeid Moloodi, Alireza Nourian
    http://arxiv.org/abs/2009.10205v2

    • [cs.CL]The Struggles of Feature-Based Explanations: Shapley Values vs. Minimal Sufficient Subsets
    Oana-Maria Camburu, Eleonora Giunchiglia, Jakob Foerster, Thomas Lukasiewicz, Phil Blunsom
    http://arxiv.org/abs/2009.11023v1

    • [cs.CL]Vector Projection Network for Few-shot Slot Tagging in Natural Language Understanding
    Su Zhu, Ruisheng Cao, Lu Chen, Kai Yu
    http://arxiv.org/abs/2009.09568v2

    • [cs.CL]Worst-Case-Aware Curriculum Learning for Zero and Few Shot Transfer
    Sheng Zhang, Xin Zhang, Weiming Zhang, Anders Søgaard
    http://arxiv.org/abs/2009.11138v1

    • [cs.CR]A Partial Break of the Honeypots Defense to Catch Adversarial Attacks
    Nicholas Carlini
    http://arxiv.org/abs/2009.10975v1

    • [cs.CR]Distributed Differentially Private Mutual Information Ranking and Its Applications
    Ankit Srivastava, Samira Pouyanfar, Joshua Allen, Ken Johnston, Qida Ma
    http://arxiv.org/abs/2009.10861v1

    • [cs.CR]FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning
    Swanand Kadhe, Nived Rajaraman, O. Ozan Koyluoglu, Kannan Ramchandran
    http://arxiv.org/abs/2009.11248v1

    • [cs.CR]Reliable, Fair and Decentralized Marketplace for Content Sharing Using Blockchain
    Prabal Banerjee, Chander Govindarajan, Praveen Jayachandran, Sushmita Ruj
    http://arxiv.org/abs/2009.11033v1

    • [cs.CV]2D-3D Geometric Fusion Network using Multi-Neighbourhood Graph Convolution for RGB-D Indoor Scene Classification
    Albert Mosella-Montoro, Javier Ruiz-Hidalgo
    http://arxiv.org/abs/2009.11154v1

    • [cs.CV]A Linear Transportation $\mathrm{L}^p$ Distance for Pattern Recognition
    Oliver M. Crook, Mihai Cucuringu, Tim Hurst, Carola-Bibiane Schönlieb, Matthew Thorpe, Konstantinos C. Zygalakis
    http://arxiv.org/abs/2009.11262v1

    • [cs.CV]A Real-time Vision Framework for Pedestrian Behavior Recognition and Intention Prediction at Intersections Using 3D Pose Estimation
    Ue-Hwan Kim, Dongho Ka, Hwasoo Yeo, Jong-Hwan Kim
    http://arxiv.org/abs/2009.10868v1

    • [cs.CV]A Simple Yet Effective Method for Video Temporal Grounding with Cross-Modality Attention
    Binjie Zhang, Yu Li, Chun Yuan, Dejing Xu, Pin Jiang, Ying Shan
    http://arxiv.org/abs/2009.11232v1

    • [cs.CV]A Sparse Sampling-based framework for Semantic Fast-Forward of First-Person Videos
    Michel Melo Silva, Washington Luis Souza Ramos, Mario Fernando Montenegro Campos, Erickson Rangel Nascimento
    http://arxiv.org/abs/2009.11063v1

    • [cs.CV]Angular Luminance for Material Segmentation
    Jia Xue, Matthew Purri, Kristin Dana
    http://arxiv.org/abs/2009.10825v1

    • [cs.CV]Augmented Convolutional LSTMs for Generation of High-Resolution Climate Change Projections
    Nidhin Harilal, Udit Bhatia, Mayank Singh
    http://arxiv.org/abs/2009.11279v1

    • [cs.CV]CLASS: Cross-Level Attention and Supervision for Salient Objects Detection
    Tang Lv, Bo Li
    http://arxiv.org/abs/2009.10916v1

    • [cs.CV]Depth-Adapted CNN for RGB-D cameras
    Zongwei Wu, Guillaume Allibert, Christophe Stolz, Cedric Demonceaux
    http://arxiv.org/abs/2009.09976v2

    • [cs.CV]Differential Viewpoints for Ground Terrain Material Recognition
    Jia Xue, Hang Zhang, Ko Nishino, Kristin J. Dana
    http://arxiv.org/abs/2009.11072v1

    • [cs.CV]Efficient DWT-based fusion techniques using genetic algorithm for optimal parameter estimation
    S. Kavitha, K. K. Thyagharajan
    http://arxiv.org/abs/2009.10777v1

    • [cs.CV]Exploring global diverse attention via pairwise temporal relation for video summarization
    Ping Li, Qinghao Ye, Luming Zhang, Li Yuan, Xianghua Xu, Ling Shao
    http://arxiv.org/abs/2009.10942v1

    • [cs.CV]Extreme compression of grayscale images
    Franklin Mendivil, Örjan Stenflo
    http://arxiv.org/abs/2009.10115v1

    • [cs.CV]Few-shot Font Generation with Localized Style Representations and Factorization
    Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim
    http://arxiv.org/abs/2009.11042v1

    • [cs.CV]Generative Model without Prior Distribution Matching
    Cong Geng, Jia Wang, Li Chen, Zhiyong Gao
    http://arxiv.org/abs/2009.11016v1

    • [cs.CV]Hamming OCR: A Locality Sensitive Hashing Neural Network for Scene Text Recognition
    Bingcong Li, Xin Tang, Xianbiao Qi, Yihao Chen, Rong Xiao
    http://arxiv.org/abs/2009.10874v1

    • [cs.CV]Improving Point Cloud Semantic Segmentation by Learning 3D Object Proposal Generation
    Ozan Unal, Luc Van Gool, Dengxin Dai
    http://arxiv.org/abs/2009.10569v2

    • [cs.CV]Information-Theoretic Visual Explanation for Black-Box Classifiers
    Jihun Yi, Eunji Kim, Siwon Kim, Sungroh Yoon
    http://arxiv.org/abs/2009.11150v1

    • [cs.CV]Interactive Learning for Semantic Segmentation in Earth Observation
    Gaston Lenczner, Adrien Chan-Hon-Tong, Nicola Luminari, Bertrand Le Saux, Guy Le Besnerais
    http://arxiv.org/abs/2009.11250v1

    • [cs.CV]Kernelized dense layers for facial expression recognition
    M. Amine Mahmoudi, Aladine Chetouani, Fatma Boufera, Hedi Tabia
    http://arxiv.org/abs/2009.10814v1

    • [cs.CV]Label-Efficient Multi-Task Segmentation using Contrastive Learning
    Junichiro Iwasawa, Yuichiro Hirano, Yohei Sugawara
    http://arxiv.org/abs/2009.11160v1

    • [cs.CV]Learning Visual Voice Activity Detection with an Automatically Annotated Dataset
    Sylvain Guy, Stéphane Lathuilière, Pablo Mesejo, Radu Horaud
    http://arxiv.org/abs/2009.11204v1

    • [cs.CV]Leveraging Local and Global Descriptors in Parallel to Search Correspondences for Visual Localization
    Pengju Zhang, Yihong Wu, Bingxi Liu
    http://arxiv.org/abs/2009.10891v1

    • [cs.CV]LoRRaL: Facial Action Unit Detection Based on Local Region Relation Learning
    Ziqiang Shi, Liu Liu, Rujie Liu, Xiaoyu Mi, and Kentaro Murase
    http://arxiv.org/abs/2009.10892v1

    • [cs.CV]MAFF-Net: Filter False Positive for 3D Vehicle Detection with Multi-modal Adaptive Feature Fusion
    Zehan Zhang, Ming Zhang, Zhidong Liang, Xian Zhao, Ming Yang, Wenming Tan, ShiLiang Pu
    http://arxiv.org/abs/2009.10945v1

    • [cs.CV]Multiple interaction learning with question-type prior knowledge for constraining answer search space in visual question answering
    Tuong Do, Binh X. Nguyen, Huy Tran, Erman Tjiputra, Quang D. Tran, Thanh-Toan Do
    http://arxiv.org/abs/2009.11118v1

    • [cs.CV]Multiplexed Illumination for Classifying Visually Similar Objects
    Taihua Wang, Donald G. Dansereau
    http://arxiv.org/abs/2009.11084v1

    • [cs.CV]Residual Embedding Similarity-Based Network Selection for Predicting Brain Network Evolution Trajectory from a Single Observation
    Ahmet Serkan Goktas, Alaa Bessadok, Islem Rekik
    http://arxiv.org/abs/2009.11110v1

    • [cs.CV]Robust and efficient post-processing for video object detection
    Alberto Sabater, Luis Montesano, Ana C. Murillo
    http://arxiv.org/abs/2009.11050v1

    • [cs.CV]Role of Orthogonality Constraints in Improving Properties of Deep Networks for Image Classification
    Hongjun Choi, Anirudh Som, Pavan Turaga
    http://arxiv.org/abs/2009.10762v1

    • [cs.CV]Scene Graph to Image Generation with Contextualized Object Layout Refinement
    Maor Ivgi, Yaniv Benny, Avichai Ben-David, Jonathan Berant, Lior Wolf
    http://arxiv.org/abs/2009.10939v1

    • [cs.CV]Segmentation and Defect Classification of the Power Line Insulators: A Deep Learning-based Approach
    Arman Alahyari, Anton Hinneck, Rahim Tariverdi, David Pozo
    http://arxiv.org/abs/2009.10163v1

    • [cs.CV]Spatial-Temporal Block and LSTM Network for Pedestrian Trajectories Prediction
    Xiong Dan
    http://arxiv.org/abs/2009.10468v2

    • [cs.CV]Towards image-based automatic meter reading in unconstrained scenarios: A robust and efficient approach
    Rayson Laroca, Alessandra B. Araujo, Luiz A. Zanlorensi, Eduardo C. de Almeida, David Menotti
    http://arxiv.org/abs/2009.10181v1

    • [cs.CV]Unsupervised Feature Learning for Event Data: Direct vs Inverse Problem Formulation
    Dimche Kostadinov, Davide Scaramuzza
    http://arxiv.org/abs/2009.11044v1

    • [cs.CV]What is the Reward for Handwriting? — Handwriting Generation by Imitation Learning
    Keisuke Kanda, Brian Kenji Iwana, Seiichi Uchida
    http://arxiv.org/abs/2009.10962v1

    • [cs.CV]X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers
    Jaemin Cho, Jiasen Lu, Dustin Schwenk, Hannaneh Hajishirzi, Aniruddha Kembhavi
    http://arxiv.org/abs/2009.11278v1

    • [cs.CY]A narrowing of AI research?
    Joel Klinger, Juan Mateos-Garcia, Konstantinos Stathoulopoulos
    http://arxiv.org/abs/2009.10385v2

    • [cs.CY]Accurate and Interpretable Machine Learning for Transparent Pricing of Health Insurance Plans
    Rohun Kshirsagar, Li-Yen Hsu, Charles H. Greenberg, Matthew McClelland, Anushadevi Mohan, Wideet Shende, Nicolas P. Tilmans, Min Guo, Ankit Chheda, Meredith Trotter, Shonket Ray, Miguel Alvarado
    http://arxiv.org/abs/2009.10990v1

    • [cs.CY]Ethical Machine Learning in Health Care
    Irene Y. Chen, Emma Pierson, Sherri Rose, Shalmali Joshi, Kadija Ferryman, Marzyeh Ghassemi
    http://arxiv.org/abs/2009.10576v2

    • [cs.CY]Logic Programming and Machine Ethics
    Abeer Dyoub, Stefania Costantini, Francesca A. Lisi
    http://arxiv.org/abs/2009.11186v1

    • [cs.DC]Applying the Roofline model for Deep Learning performance optimizations
    Jacek Czaja, Michal Gallus, Joanna Wozna, Adam Grygielski, Luo Tao
    http://arxiv.org/abs/2009.11224v1

    • [cs.DC]Dynamic Fusion based Federated Learning for COVID-19 Detection
    Weishan Zhang, Tao Zhou, Qinghua Lu, Xiao Wang, Chunsheng Zhu, Haoyun Sun, Zhipeng Wang, Fei-Yue Wang
    http://arxiv.org/abs/2009.10401v2

    • [cs.DC]Enhancing Resource Management through Prediction-based Policies
    Antoni Navarro, Arthur F. Lorenzon, Eduard Ayguadé, Vicenç Beltran
    http://arxiv.org/abs/2009.10950v1

    • [cs.DC]FusionStitching: Boosting Memory Intensive Computations for Deep Learning Workloads
    Zhen Zheng, Pengzhan Zhao, Guoping Long, Feiwen Zhu, Kai Zhu, Wenyi Zhao, Lansong Diao, Jun Yang, Wei Lin
    http://arxiv.org/abs/2009.10924v1

    • [cs.DC]GraphPi: High Performance Graph Pattern Matching through Effective Redundancy Elimination
    Tianhui Shi, Mingshu Zhai, Yi Xu, Jidong Zhai
    http://arxiv.org/abs/2009.10955v1

    • [cs.DC]Time-Optimal Self-Stabilizing Leader Election on Rings in Population Protocols
    Daisuke Yokota, Yuichi Sudo, Toshimitsu Masuzawa
    http://arxiv.org/abs/2009.10926v1

    • [cs.DS]On the Locality of Nash-Williams Forest Decomposition and Star-Forest Decomposition
    David G. Harris, Hsin-Hao Su, Hoa T. Vu
    http://arxiv.org/abs/2009.10761v1

    • [cs.DS]Timeliness-aware On-site Planning Method for Tour Navigation
    S. Isoda, M. Hidaka, Y. Matsuda, H. Suwa, K. Yasumoto
    http://arxiv.org/abs/2009.11040v1

    • [cs.HC]Studying Person-Specific Pointing and Gaze Behavior for Multimodal Referencing of Outside Objects from a Moving Vehicle
    Amr Gomaa, Guillermo Reyes, Alexandra Alles, Lydia Rupp, Michael Feld
    http://arxiv.org/abs/2009.11195v1

    • [cs.IR]Using the Hammer Only on Nails: A Hybrid Method for Evidence Retrieval for Question Answering
    Zhengzhong Liang, Yiyun Zhao, Mihai Surdeanu
    http://arxiv.org/abs/2009.10791v1

    • [cs.IT]A Coded Caching Scheme with Linear Sub-packetization and its Application to Multi-Access Coded Caching
    Anjana A. Mahesh, B. Sundar Rajan
    http://arxiv.org/abs/2009.10923v1

    • [cs.IT]Fundamental Limits of Byzantine Agreement
    Jinyuan Chen
    http://arxiv.org/abs/2009.10965v1

    • [cs.IT]Matrix Decomposition for Massive MIMO Detection
    Shahriar Shahabuddin, Muhammad Hasibul Islam, Mohammad Shahanewaz Shahabuddin, Mahmoud A. Albreem, Markku Juntti
    http://arxiv.org/abs/2009.11172v1

    • [cs.IT]On Hybrid-ARQ-Based Intelligent Reflecting Surface-Assisted Communication System
    Y. Ai, M. Mohamed, L. Kong, A. Al-Samen, M. Cheffena
    http://arxiv.org/abs/2009.10776v1

    • [cs.IT]Optimal Resource Allocation for Multi-user OFDMA-URLLC MEC Systems
    Walid R. Ghanem, Vahid Jamali, Robert Schober
    http://arxiv.org/abs/2009.11073v1

    • [cs.IT]Real-time Millimeter Wave Omnidirectional Channel Sounder Using Phased Array Antennas
    Aditya Chopra, Andrew Thornburg, Ojas Kanhere, Abbas Termos, Saeed S. Ghassemzadeh, Theodore S. Rappaport
    http://arxiv.org/abs/2009.11093v1

    • [cs.IT]SPARC-LDPC Coding for MIMO Massive Unsourced Random Access
    Tianya Li, Yongpeng Wu, Mengfan Zheng, Dongming Wang, Wenjun Zhang
    http://arxiv.org/abs/2009.10912v1

    • [cs.IT]Strongly Convex Divergences
    James Melbourne
    http://arxiv.org/abs/2009.10838v1

    • [cs.IT]Terahertz Massive MIMO with Holographic Reconfigurable Intelligent Surfaces
    Ziwei Wan, Zhen Gao, Marco Di Renzo, Mohamed-Slim Alouini
    http://arxiv.org/abs/2009.10963v1

    • [cs.LG]ANNdotNET — deep learning tool on .NET Platform
    Bahrudin Hrnjica
    http://arxiv.org/abs/2009.11112v1

    • [cs.LG]Contextual Bandits for adapting to changing User preferences over time
    Dattaraj Rao
    http://arxiv.org/abs/2009.10073v2

    • [cs.LG]DTI-SNNFRA: Drug-Target interaction prediction by shared nearest neighbors and fuzzy-rough approximation
    Sk Mazharul Islam, Sk Md Mosaddek Hossain, Sumanta Ray
    http://arxiv.org/abs/2009.10766v1

    • [cs.LG]Deep Neural Tangent Kernel and Laplace Kernel Have the Same RKHS
    Lin Chen, Sheng Xu
    http://arxiv.org/abs/2009.10683v2

    • [cs.LG]Deep multi-stations weather forecasting: explainable recurrent convolutional neural networks
    Ismail Alaoui Abdellaoui, Siamak Mehrkanoon
    http://arxiv.org/abs/2009.11239v1

    • [cs.LG]FedCluster: Boosting the Convergence of Federated Learning via Cluster-Cycling
    Cheng Chen, Ziyi Chen, Yi Zhou, Bhavya Kailkhura
    http://arxiv.org/abs/2009.10748v1

    • [cs.LG]Fuzzy Simplicial Networks: A Topology-Inspired Model to Improve Task Generalization in Few-shot Learning
    Henry Kvinge, Zachary New, Nico Courts, Jung H. Lee, Lauren A. Phillips, Courtney D. Corley, Aaron Tuor, Andrew Avila, Nathan O. Hodas
    http://arxiv.org/abs/2009.11253v1

    • [cs.LG]Implicit Gradient Regularization
    David G. T. Barrett, Benoit Dherin
    http://arxiv.org/abs/2009.11162v1

    • [cs.LG]Improving Medical Annotation Quality to Decrease Labeling Burden Using Stratified Noisy Cross-Validation
    Joy Hsu, Sonia Phene, Akinori Mitani, Jieying Luo, Naama Hammel, Jonathan Krause, Rory Sayres
    http://arxiv.org/abs/2009.10858v1

    • [cs.LG]Learn to Exceed: Stereo Inverse Reinforcement Learning with Concurrent Policy Optimization
    Feng Tao, Yongcan Cao
    http://arxiv.org/abs/2009.09577v2

    • [cs.LG]Message Passing for Hyper-Relational Knowledge Graphs
    Mikhail Galkin, Priyansh Trivedi, Gaurav Maheshwari, Ricardo Usbeck, Jens Lehmann
    http://arxiv.org/abs/2009.10847v1

    • [cs.LG]Model-Centric and Data-Centric Aspects of Active Learning for Neural Network Models
    John Daniel Bossér, Erik Sörstadius, Morteza Haghir Chehreghani
    http://arxiv.org/abs/2009.10835v1

    • [cs.LG]My Health Sensor, my Classifier: Adapting a Trained Classifier to Unlabeled End-User Data
    Konstantinos Nikolaidis, Stein Kristiansen, Thomas Plagemann, Vera Goebel, Knut Liestøl, Mohan Kankanhalli, Gunn Marit Traaen, Britt Øverland, Harriet Akre, Lars Aakerøy, Sigurd Steinshamn
    http://arxiv.org/abs/2009.10799v1

    • [cs.LG]Online AUC Optimization for Sparse High-Dimensional Datasets
    Baojian Zhou, Yiming Ying, Steven Skiena
    http://arxiv.org/abs/2009.10867v1

    • [cs.LG]Probabilistic Label Trees for Extreme Multi-label Classification
    Kalina Jasinska-Kobus, Marek Wydmuch, Krzysztof Dembczynski, Mikhail Kuznetsov, Robert Busa-Fekete
    http://arxiv.org/abs/2009.11218v1

    • [cs.LG]Pruning Convolutional Filters using Batch Bridgeout
    Najeeb Khan, Ian Stavness
    http://arxiv.org/abs/2009.10893v1

    • [cs.LG]Representation Learning from Limited Educational Data with Crowdsourced Labels
    Wentao Wang, Guowei Xu, Wenbiao Ding, Gale Yan Huang, Guoliang Li, Jiliang Tang, Zitao Liu
    http://arxiv.org/abs/2009.11222v1

    • [cs.LG]Revisiting Design Choices in Proximal Policy Optimization
    Chloe Ching-Yun Hsu, Celestine Mendler-Dünner, Moritz Hardt
    http://arxiv.org/abs/2009.10897v1

    • [cs.LG]Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot
    Jingtong Su, Yihang Chen, Tianle Cai, Tianhao Wu, Ruiqi Gao, Liwei Wang, Jason D. Lee
    http://arxiv.org/abs/2009.11094v1

    • [cs.LG]Semantics-Preserving Adversarial Training
    Wonseok Lee, Hanbit Lee, Sang-goo Lee
    http://arxiv.org/abs/2009.10978v1

    • [cs.LG]Streaming Graph Neural Networks via Continual Learning
    Junshan Wang, Guojie Song, Yi Wu, Liang Wang
    http://arxiv.org/abs/2009.10951v1

    • [cs.LG]Supervised Multi-topology Network Cross-diffusion for Population-driven Brain Network Atlas Estimation
    Islem Mhiri, Mohamed Ali Mahjoub, Islem Rekik
    http://arxiv.org/abs/2009.11054v1

    • [cs.LG]Tasks, stability, architecture, and compute: Training more effective learned optimizers, and using them to train themselves
    Luke Metz, Niru Maheswaranathan, C. Daniel Freeman, Ben Poole, Jascha Sohl-Dickstein
    http://arxiv.org/abs/2009.11243v1

    • [cs.LG]Text Classification with Novelty Detection
    Qi Qin, Wenpeng Hu, Bing Liu
    http://arxiv.org/abs/2009.11119v1

    • [cs.LG]Topology-Aware Generative Adversarial Network for Joint Prediction of Multiple Brain Graphs from a Single Brain Graph
    Alaa Bessadok, Mohamed Ali Mahjoub, Islem Rekik
    http://arxiv.org/abs/2009.11058v1

    • [cs.LG]Towards a Flexible Embedding Learning Framework
    Chin-Chia Michael Yeh, Dhruv Gelda, Zhongfang Zhuang, Yan Zheng, Liang Gou, Wei Zhang
    http://arxiv.org/abs/2009.10989v1

    • [cs.LG]Using Machine Learning to Develop a Novel COVID-19 Vulnerability Index (C19VI)
    Anuj Tiwari, Arya V. Dadhania, Vijay Avin Balaji Ragunathrao, Edson R. A. Oliveira
    http://arxiv.org/abs/2009.10808v1

    • [cs.LG]Using Under-trained Deep Ensembles to Learn Under Extreme Label Noise
    Konstantinos Nikolaidis, Thomas Plagemann, Stein Kristiansen, Vera Goebel, Mohan Kankanhalli
    http://arxiv.org/abs/2009.11128v1

    • [cs.LO]LTLf Synthesis on Probabilistic Systems
    Andrew M. Wells, Morteza Lahijanian, Lydia E. Kavraki, Moshe Y. Vardi
    http://arxiv.org/abs/2009.10883v1

    • [cs.LO]Symbolic Execution + Model Counting + Entropy Maximization = Automatic Search Synthesis
    Mara Downing, Abtin Molavi, Lucas Bang
    http://arxiv.org/abs/2009.10877v1

    • [cs.MM]Cosine Similarity of Multimodal Content Vectors for TV Programmes
    Saba Nazir. Taner Cagali, Chris Newell, Mehrnoosh Sadrzadeh
    http://arxiv.org/abs/2009.11129v1

    • [cs.MS]Portable high-order finite element kernels I: Streaming Operations
    Noel Chalmers, Tim Warburton
    http://arxiv.org/abs/2009.10917v1

    • [cs.NE]Procrustes: a Dataflow and Accelerator for Sparse Deep Neural Network Training
    Dingqing Yang, Amin Ghasemazar, Xiaowei Ren, Maximilian Golub, Guy Lemieux, Mieszko Lis
    http://arxiv.org/abs/2009.10976v1

    • [cs.PF]ReLeaSER: A Reinforcement Learning Strategy for Optimizing Utilization Of Ephemeral Cloud Resources
    Mohamed Handaoui, Jean-Emile Dartois, Jalil Boukhobza, Olivier Barais, Laurent d’Orazio
    http://arxiv.org/abs/2009.11208v1

    • [cs.RO]A Fleet Learning Architecture for Enhanced Behavior Predictions during Challenging External Conditions
    Florian Wirthmüller, Marvin Klimke, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert
    http://arxiv.org/abs/2009.11221v1

    • [cs.RO]Behavioral Repertoires for Soft Tensegrity Robots
    Kyle Doney, Aikaterini Petridou, Jacob Karaul, Ali Khan, Geoffrey Liu, John Rieffel
    http://arxiv.org/abs/2009.10864v1

    • [cs.RO]ContactNets: Learning of Discontinuous Contact Dynamics with Smooth, Implicit Representations
    Samuel Pfrommer, Mathew Halm, Michael Posa
    http://arxiv.org/abs/2009.11193v1

    • [cs.RO]DL-IAPS and PJSO: A Path/Speed Decoupled Trajectory Optimization and its Application in Autonomous Driving
    Jinyun Zhou, Runxin He, Yu Wang, Shu Jiang, Zhenguang Zhu, Jiangtao Hu, Jinghao Miao, Qi Luo
    http://arxiv.org/abs/2009.11135v1

    • [cs.RO]Data-Driven Distributed State Estimation and Behavior Modeling in Sensor Networks
    Rui Yu, Zhenyuan Yuan, Minghui Zhu, Zihan Zhou
    http://arxiv.org/abs/2009.10827v1

    • [cs.RO]Dual-SLAM: A framework for robust single camera navigation
    Huajian Huang, Wen-Yan Lin, Siying Liu, Dong Zhang, Sai-Kit Yeung
    http://arxiv.org/abs/2009.11219v1

    • [cs.RO]PICs for TECH: Pose Imitation Constraints (PICs) for TEaching Collaborative Heterogeneous robots (TECH)
    Glebys Gonzalez, Juan Wachs
    http://arxiv.org/abs/2009.10947v1

    • [cs.RO]Robust Reinforcement Learning-based Autonomous Driving Agent for Simulation and Real World
    Péter Almási, Róbert Moni, Bálint Gyires-Tóth
    http://arxiv.org/abs/2009.11212v1

    • [cs.SI]Explaining Gender Differences in Academics’ Career Trajectories
    Aniko Hannak, Kenneth Joseph, Andrei Cimpian, Daniel B. Larremore
    http://arxiv.org/abs/2009.10830v1

    • [cs.SI]My tweets bring all the traits to the yard: Predicting personality and relational traits in Online Social Networks
    Dimitra Karanatsiou, Pavlos Sermpezis, Jon Gruda, Konstantinos Kafetsios, Ilias Dimitriadis, Athena Vakali
    http://arxiv.org/abs/2009.10802v1

    • [cs.SI]Preserving Integrity in Online Social Networks
    Alon Halevy, Cristian Canton Ferrer, Hao Ma, Umut Ozertem, Patrick Pantel, Marzieh Saeidi, Fabrizio Silvestri, Ves Stoyanov
    http://arxiv.org/abs/2009.10311v2

    • [cs.SI]The cost of coordination can exceed the benefit of collaboration in performing complex tasks
    Vince J. Straub, Milena Tsvetkova, Taha Yasseri
    http://arxiv.org/abs/2009.11038v1

    • [cs.SI]Too big to see: exploring proxies of structure in a real large-scale university-industry cooperation network
    Yuri Campbell
    http://arxiv.org/abs/2009.11113v1

    • [eess.AS]Attention Driven Fusion for Multi-Modal Emotion Recognition
    Darshana Priyasad, Tharindu Fernando, Simon Denman, Clinton Fookes, Sridha Sridharan
    http://arxiv.org/abs/2009.10991v1

    • [eess.AS]End-to-End Speech Recognition and Disfluency Removal
    Paria Jamshid Lou, Mark Johnson
    http://arxiv.org/abs/2009.10298v2

    • [eess.IV]Adaptive Debanding Filter
    Zhengzhong Tu, Jessie Lin, Yilin Wang, Balu Adsumilli, Alan C. Bovik
    http://arxiv.org/abs/2009.10804v1

    • [eess.IV]Age-Net: An MRI-Based Iterative Framework for Biological Age Estimation
    Karim Armanious, Sherif Abdulatif, Wenbin Shi, Shashank Salian, Thomas Küstner, Daniel Weiskopf, Tobias Hepp, Sergios Gatidis, Bin Yang
    http://arxiv.org/abs/2009.10765v1

    • [eess.IV]Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI
    Anneke Meyer, Grzegorz Chlebus, Marko Rak, Daniel Schindele, Martin Schostak, Bram van Ginneken, Andrea Schenk, Hans Meine, Horst K. Hahn, Andreas Schreiber, Christian Hansen
    http://arxiv.org/abs/2009.11120v1

    • [eess.IV]Attention with Multiple Sources Knowledges for COVID-19 from CT Images
    Duy M. H. Nguyen, Duy M. Nguyen, Huong Vu, Binh T. Nguyen, Fabrizio Nunnari, Daniel Sonntag
    http://arxiv.org/abs/2009.11008v1

    • [eess.IV]Automatic Breast Lesion Classification by Joint Neural Analysis of Mammography and Ultrasound
    Gavriel Habib, Nahum Kiryati, Miri Sklair-Levy, Anat Shalmon, Osnat Halshtok Neiman, Renata Faermann Weidenfeld, Yael Yagil, Eli Konen, Arnaldo Mayer
    http://arxiv.org/abs/2009.11009v1

    • [eess.IV]CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation
    Ran Gu, Guotai Wang, Tao Song, Rui Huang, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Shaoting Zhang
    http://arxiv.org/abs/2009.10549v2

    • [eess.IV]CCBlock: An Effective Use of Deep Learning for Automatic Diagnosis of COVID-19 Using X-Ray Images
    Ali Al-Bawi, Karrar Ali Al-Kaabi, Mohammed Jeryo, Ahmad Al-Fatlawi
    http://arxiv.org/abs/2009.10141v1

    • [eess.IV]Cranial Implant Prediction using Low-Resolution 3D Shape Completion and High-Resolution 2D Refinement
    Amirhossein Bayat, Suprosanna Shit, Adrian Kilian, Jürgen T. Liechtenstein, Jan S. Kirschke, Bjoern H. Menze
    http://arxiv.org/abs/2009.10769v1

    • [eess.IV]Federated Learning for Computational Pathology on Gigapixel Whole Slide Images
    Ming Y. Lu, Dehan Kong, Jana Lipkova, Richard J. Chen, Rajendra Singh, Drew F. K. Williamson, Tiffany Y. Chen, Faisal Mahmood
    http://arxiv.org/abs/2009.10190v2

    • [eess.IV]Foreseeing Brain Graph Evolution Over Time Using Deep Adversarial Network Normalizer
    Zeynep Gurler, Ahmed Nebli, Islem Rekik
    http://arxiv.org/abs/2009.11166v1

    • [eess.IV]GSR-Net: Graph Super-Resolution Network for Predicting High-Resolution from Low-Resolution Functional Brain Connectomes
    Megi Isallari, Islem Rekik
    http://arxiv.org/abs/2009.11080v1

    • [eess.IV]Learning Non-Unique Segmentation with Reward-Penalty Dice Loss
    Jiabo He, Sarah Erfani, Sudanthi Wijewickrema, Stephen O’Leary, Kotagiri Ramamohanarao
    http://arxiv.org/abs/2009.10987v1

    • [eess.IV]Robustification of Segmentation Models Against Adversarial Perturbations In Medical Imaging
    Hanwool Park, Amirhossein Bayat, Mohammad Sabokrou, Jan S. Kirschke, Bjoern H. Menze
    http://arxiv.org/abs/2009.11090v1

    • [eess.IV]Whole Slide Images based Cancer Survival Prediction using Attention Guided Deep Multiple Instance Learning Networks
    Jiawen Yao, Xinliang Zhu, Jitendra Jonnagaddala, Nicholas Hawkins, Junzhou Huang
    http://arxiv.org/abs/2009.11169v1

    • [eess.SP]An electronic neuromorphic system for real-time detection of High Frequency Oscillations (HFOs) in intracranial EEG
    Mohammadali Sharifhazileh, Karla Burelo, Johannes Sarnthein, Giacomo Indiveri
    http://arxiv.org/abs/2009.11245v1

    • [eess.SP]Multi-Agent Deep Reinforcement Learning Based Trajectory Planning for Multi-UAV Assisted Mobile Edge Computing
    Liang Wang, Kezhi Wang, Cunhua Pan, Wei Xu, Nauman Aslam, Lajos Hanzo
    http://arxiv.org/abs/2009.11277v1

    • [eess.SY]A Multi-Agent Deep Reinforcement Learning Approach for a Distributed Energy Marketplace in Smart Grids
    Arman Ghasemi, Amin Shojaeighadikolaei, Kailani Jones, Morteza Hashemi, Alexandru G. Bardas, Reza Ahmadi
    http://arxiv.org/abs/2009.10905v1

    • [eess.SY]Demand Responsive Dynamic Pricing Framework for Prosumer Dominated Microgrids using Multiagent Reinforcement Learning
    Amin Shojaeighadikolaei, Arman Ghasemi, Kailani R. Jones, Alexandru G. Bardas, Morteza Hashemi, Reza Ahmadi
    http://arxiv.org/abs/2009.10890v1

    • [eess.SY]Factor Graph-Based Smoothing Without Matrix Inversion for Highly Precise Localization
    Paul Chauchat, Axel Barrau, Silvère Bonnabel
    http://arxiv.org/abs/2009.11097v1

    • [hep-lat]Machine-learning physics from unphysics: Finding deconfinement temperature in lattice Yang-Mills theories from outside the scaling window
    D. L. Boyda, M. N. Chernodub, N. V. Gerasimeniuk, V. A. Goy, S. D. Liubimov, A. V. Molochkov
    http://arxiv.org/abs/2009.10971v1

    • [math.CO]On the number of contingency tables and the independence heuristic
    Hanbaek Lyu, Igor Pak
    http://arxiv.org/abs/2009.10810v1

    • [math.NT]Bent and $\mathbb Z_{2^k}$-bent functions from spread-like partitions
    Wilfried Meidl, Isabel Pirsic
    http://arxiv.org/abs/2009.11019v1

    • [math.PR]Entropic Compressibility of Lévy Processes
    Julien Fageot, Alireza Fallah, Thibaut Horel
    http://arxiv.org/abs/2009.10753v1

    • [math.ST]A projection-based model checking for heterogeneous treatment effect
    Niwen Zhou, Xu Guo, Lixing Zhu
    http://arxiv.org/abs/2009.10900v1

    • [math.ST]Asymptotic independence of spiked eigenvalues and linear spectral statistics for large sample covariance matrices
    Zhixiang Zhan, Shurong Zheng, Guangming Pan, Pingshou Zhong
    http://arxiv.org/abs/2009.11010v1

    • [math.ST]Finite sample inference for generic autoregressive models
    Hien Duy Nguyen
    http://arxiv.org/abs/2009.11124v1

    • [math.ST]On IPW-based estimation of conditional average treatment effect
    Niwen Zhou, Lixing Zhu
    http://arxiv.org/abs/2009.10898v1

    • [math.ST]Permanental Graphs
    Daniel Xiang, Peter McCullagh
    http://arxiv.org/abs/2009.10902v1

    • [physics.ed-ph]Engaging Teachers to Co-Design Integrated AI Curriculum for K-12 Classrooms
    Jessica Van Brummelen, Phoebe Lin
    http://arxiv.org/abs/2009.11100v1

    • [q-bio.QM]Drug Repurposing for COVID-19 using Graph Neural Network with Genetic, Mechanistic, and Epidemiological Validation
    Kanglin Hsieh, Yinyin Wang, Luyao Chen, Zhongming Zhao, Sean Savitz, Xiaoqian Jiang, Jing Tang, Yejin Kim
    http://arxiv.org/abs/2009.10931v1

    • [q-fin.GN]Ants, robots, humans: a self-organizing, goal-driven modeling approach
    Martin Jaraiz
    http://arxiv.org/abs/2009.10823v1

    • [stat.AP]Application of Dynamic Linear Models to Random Allocation Clinical Trials with Covariates
    Albert H. Lee III
    http://arxiv.org/abs/2009.11074v1

    • [stat.AP]Using Undersampling with Ensemble Learning to Identify Factors Contributing to Preterm Birth
    Shi Dong, Zlatan Feric, Guangyu Li, Chieh Wu, April Z. Gu, Jennifer Dy, John Meeker, Ingrid Y. Padilla, Jose Cordero, Carmen Velez Vega, Zaira Rosario, Akram Alshawabkeh, David Kaeli
    http://arxiv.org/abs/2009.11242v1

    • [stat.ME]An Information Theoretic approach to Post Randomization Methods under Differential Privacy
    Fadhel Ayed, Marco Battiston, Federico Camerlenghi
    http://arxiv.org/abs/2009.11257v1

    • [stat.ME]An Introduction to Proximal Causal Learning
    Eric J Tchetgen Tchetgen, Andrew Ying, Yifan Cui, Xu Shi, Wang Miao
    http://arxiv.org/abs/2009.10982v1

    • [stat.ME]Docs are ROCs: A simple off-the-shelf approach for estimating average human performance in diagnostic studies
    Luke Oakden-Rayner, Lyle Palmer
    http://arxiv.org/abs/2009.11060v1

    • [stat.ME]Factor analysis in high dimensional biological data with dependent observations
    Chris McKennan
    http://arxiv.org/abs/2009.11134v1

    • [stat.ME]Finite mixture modeling of censored and missing data using the multivariate skew-normal distribution
    Francisco H. C. de Alencar, Christian E. Galarza, Larissa A. Matos, Victor H. Lachos
    http://arxiv.org/abs/2009.10826v1

    • [stat.ME]Hierarchical Bayesian Bootstrap for Heterogeneous Treatment Effect Estimation
    Arman Oganisian, Nandita Mitra, Jason Roy
    http://arxiv.org/abs/2009.10839v1

    • [stat.ME]Independent finite approximations for Bayesian nonparametric inference: construction, error bounds, and practical implications
    Tin D. Nguyen, Jonathan Huggins, Lorenzo Masoero, Lester Mackey, Tamara Broderick
    http://arxiv.org/abs/2009.10780v1

    • [stat.ME]Modeling short-ranged dependence in block extrema with application to polar temperature data
    Brook T. Russell, Whitney K. Huang
    http://arxiv.org/abs/2009.11098v1

    • [stat.ME]Stochastic Generalized Lotka-Volterra Model with An Application to Learning Microbial Community Structures
    Libai Xu, Ximing Xu, Dehan Kong, Hong Gu, Toby Kenney
    http://arxiv.org/abs/2009.10922v1

    • [stat.ML]An Intuitive Tutorial to Gaussian Processes Regression
    Jie Wang
    http://arxiv.org/abs/2009.10862v1

    • [stat.ML]Estimation error analysis of deep learning on the regression problem on the variable exponent Besov space
    Kazuma Tsuji, Taiji Suzuki
    http://arxiv.org/abs/2009.11285v1

    • [stat.ML]Learning Mixtures of Low-Rank Models
    Yanxi Chen, Cong Ma, H. Vincent Poor, Yuxin Chen
    http://arxiv.org/abs/2009.11282v1

    • [stat.ML]Probabilistic Machine Learning for Healthcare
    Irene Y. Chen, Shalmali Joshi, Marzyeh Ghassemi, Rajesh Ranganath
    http://arxiv.org/abs/2009.11087v1