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.DB - 数据库 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.NE - 神经与进化计算 cs.RO - 机器人学 cs.SD - 声音处理 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.HO - 历史与概述 math.NA - 数值分析 math.OC - 优化与控制 math.ST - 统计理论 q-bio.PE - 人口与发展 q-bio.QM - 定量方法 q-fin.TR - 贸易与市场微观结构 quant-ph - 量子物理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]A Theoretical Computer Science Perspective on Consciousness
    • [cs.AI]Conservative Extensions in Horn Description Logics with Inverse Roles
    • [cs.AI]Electric Vehicle Charging Infrastructure Planning: A Scalable Computational Framework
    • [cs.AI]Explainable AI for System Failures: Generating Explanations that Improve Human Assistance in Fault Recovery
    • [cs.AI]Explainable Incipient Fault Detection Systems for Photovoltaic Panels
    • [cs.AI]Exploring Constraint Handling Techniques in Real-world Problems on MOEA/D with Limited Budget of Evaluations
    • [cs.AI]First Order-Rewritability and Containment of Conjunctive Queries in Horn Description Logics
    • [cs.AI]Improving Bayesian Network Structure Learning in the Presence of Measurement Error
    • [cs.AI]Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?
    • [cs.AI]Iterative Planning with Plan-Space Explanations: A Tool and User Study
    • [cs.AI]Lifelong Knowledge Learning in Rule-based Dialogue Systems
    • [cs.AI]Multi-Modal Subjective Context Modelling and Recognition
    • [cs.AI]On the Relationship Between KR Approaches for Explainable Planning
    • [cs.AI]RADAR-X: An Interactive Interface Pairing Contrastive Explanations with Revised Plan Suggestions
    • [cs.CL]A Sequence-to-Sequence Approach to Dialogue State Tracking
    • [cs.CL]An Integrated Approach for Improving Brand Consistency of Web Content: Modeling, Analysis and Recommendation
    • [cs.CL]Are Pre-trained Language Models Knowledgeable to Ground Open Domain Dialogues?
    • [cs.CL]Do We Need Online NLU Tools?
    • [cs.CL]Entity Recognition and Relation Extraction from Scientific and Technical Texts in Russian
    • [cs.CL]Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP
    • [cs.CL]Fact-level Extractive Summarization with Hierarchical Graph Mask on BERT
    • [cs.CL]Persuasive Dialogue Understanding: the Baselines and Negative Results
    • [cs.CL]Predicting metrical patterns in Spanish poetry with language models
    • [cs.CL]Relation Extraction with Contextualized Relation Embedding (CRE)
    • [cs.CL]SentiLSTM: A Deep Learning Approach for Sentiment Analysis of Restaurant Reviews
    • [cs.CR]Strong Data Augmentation Sanitizes Poisoning and Backdoor Attacks Without an Accuracy Tradeoff
    • [cs.CV]Abnormal Event Detection in Urban Surveillance Videos Using GAN and Transfer Learning
    • [cs.CV]Adversarial Threats to DeepFake Detection: A Practical Perspective
    • [cs.CV]An Efficient and Scalable Deep Learning Approach for Road Damage Detection
    • [cs.CV]Attention-Based Transformers for Instance Segmentation of Cells in Microstructures
    • [cs.CV]Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation
    • [cs.CV]Contextual Fusion For Adversarial Robustness
    • [cs.CV]Creative Sketch Generation
    • [cs.CV]Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation
    • [cs.CV]DCT-Mask: Discrete Cosine Transform Mask Representation for Instance Segmentation
    • [cs.CV]Deep Multi-view Depth Estimation with Predicted Uncertainty
    • [cs.CV]DeepMorph: A System for Hiding Bitstrings in Morphable Vector Drawings
    • [cs.CV]Defocus Blur Detection via Salient Region Detection Prior
    • [cs.CV]Dense Label Encoding for Boundary Discontinuity Free Rotation Detection
    • [cs.CV]Differentiable Data Augmentation with Kornia
    • [cs.CV]Everybody Sign Now: Translating Spoken Language to Photo Realistic Sign Language Video
    • [cs.CV]Extracting and Learning Fine-Grained Labels from Chest Radiographs
    • [cs.CV]Face Forgery Detection by 3D Decomposition
    • [cs.CV]Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery
    • [cs.CV]Geography-Aware Self-Supervised Learning
    • [cs.CV]HMFlow: Hybrid Matching Optical Flow Network for Small and Fast-Moving Objects
    • [cs.CV]Heterogeneous Contrastive Learning: Encoding Spatial Information for Compact Visual Representations
    • [cs.CV]Latent-Separated Global Prediction for Learned Image Compression
    • [cs.CV]Learning Deep Video Stabilization without Optical Flow
    • [cs.CV]Learning to Predict the 3D Layout of a Scene
    • [cs.CV]Multi-Plane Program Induction with 3D Box Priors
    • [cs.CV]Multigrid-in-Channels Neural Network Architectures
    • [cs.CV]Neuro-Symbolic Representations for Video Captioning: A Case for Leveraging Inductive Biases for Vision and Language
    • [cs.CV]Patient-independent Epileptic Seizure Prediction using Deep Learning Models
    • [cs.CV]Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning
    • [cs.CV]Robustified Domain Adaptation
    • [cs.CV]Scene text removal via cascaded text stroke detection and erasing
    • [cs.CV]Semantic Scene Completion using Local Deep Implicit Functions on LiDAR Data
    • [cs.CV]StressNet: Detecting Stress in Thermal Videos
    • [cs.CV]Style Intervention: How to Achieve Spatial Disentanglement with Style-based Generators?
    • [cs.CV]TRAT: Tracking by Attention Using Spatio-Temporal Features
    • [cs.CV]The Cube++ Illumination Estimation Dataset
    • [cs.CV]Towards Spatio-Temporal Video Scene Text Detection via Temporal Clustering
    • [cs.CV]Unifying Instance and Panoptic Segmentation with Dynamic Rank-1 Convolutions
    • [cs.CV]Unmixing Convolutional Features for Crisp Edge Detection
    • [cs.CV]Watch and Learn: Mapping Language and Noisy Real-world Videos with Self-supervision
    • [cs.CY]The Influences of Pre-birth Factors in Early Assessment of Child Mortality using Machine Learning Techniques
    • [cs.CY]Using Ordinal Data to Assess Distance Learning
    • [cs.DB]Checking Causal Consistency of Distributed Databases
    • [cs.DC]heSRPT: Parallel Scheduling to Minimize Mean Slowdown
    • [cs.DS]Approximate Bipartite Vertex Cover in the CONGEST Model
    • [cs.DS]List-Decodable Mean Estimation in Nearly-PCA Time
    • [cs.DS]Online Paging with a Vanishing Regret
    • [cs.DS]Redistricting Algorithms
    • [cs.HC]Interval-valued aggregation functions based on moderate deviations applied to Motor-Imagery-Based Brain Computer Interface
    • [cs.IR]From Protocol to Screening: A Hybrid Learning Approach for Technology-Assisted Systematic Literature Reviews
    • [cs.IR]Non-Linear Multiple Field Interactions Neural Document Ranking
    • [cs.IT]Approximate Weighted $CR$ Coded Matrix Multiplication
    • [cs.IT]Energy Efficiency and Spectral Efficiency Tradeoff in RIS-Aided Multiuser MIMO Uplink Transmission
    • [cs.IT]Error Exponents in the Bee Identification Problem
    • [cs.IT]Hardware Implementation of Fano Decoder for PAC Codes
    • [cs.IT]Hidden chaos factors inducing random walks as a factor restricting hospital operative efficiency
    • [cs.IT]Reconfigurable Intelligent Surface Optimal Placement in Millimeter-Wave Networks
    • [cs.IT]Reconfigurable Intelligent Surface-Assisted Uplink Sparse Code Multiple Access
    • [cs.LG]A Cognitive Approach based on the Actionable Knowledge Graph for supporting Maintenance Operations
    • [cs.LG]A Stable High-order Tuner for General Convex Functions
    • [cs.LG]A Temporal Convolution Network Approach to State-of-Charge Estimation in Li-ion Batteries
    • [cs.LG]Adversarial Examples for $k$-Nearest Neighbor Classifiers Based on Higher-Order Voronoi Diagrams
    • [cs.LG]An Experimental Study of Semantic Continuity for Deep Learning Models
    • [cs.LG]Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification
    • [cs.LG]Budgeted Online Selection of Candidate IoT Clients to Participate in Federated Learning
    • [cs.LG]Challenges in Deploying Machine Learning: a Survey of Case Studies
    • [cs.LG]Data Representing Ground-Truth Explanations to Evaluate XAI Methods
    • [cs.LG]Deep Reinforcement Learning for Stochastic Computation Offloading in Digital Twin Networks
    • [cs.LG]DeepRepair: Style-Guided Repairing for DNNs in the Real-world Operational Environment
    • [cs.LG]DiffusionNet: Accelerating the solution of Time-Dependent partial differential equations using deep learning
    • [cs.LG]Effective, Efficient and Robust Neural Architecture Search
    • [cs.LG]End-To-End Dilated Variational Autoencoder with Bottleneck Discriminative Loss for Sound Morphing — A Preliminary Study
    • [cs.LG]Energy Aware Deep Reinforcement Learning Scheduling for Sensors Correlated in Time and Space
    • [cs.LG]Estimation of Shortest Path Covariance Matrices
    • [cs.LG]FedEval: A Benchmark System with a Comprehensive Evaluation Model for Federated Learning
    • [cs.LG]Finding the Homology of Decision Boundaries with Active Learning
    • [cs.LG]Fully Gap-Dependent Bounds for Multinomial Logit Bandit
    • [cs.LG]GRAPHSPY: Fused Program Semantic-Level Embedding via Graph Neural Networks for Dead Store Detection
    • [cs.LG]High-Throughput Approach to Modeling Healthcare Costs Using Electronic Healthcare Records
    • [cs.LG]Impact of Accuracy on Model Interpretations
    • [cs.LG]Improved rates for identification of partially observed linear dynamical systems
    • [cs.LG]Inverse Constrained Reinforcement Learning
    • [cs.LG]Inverse Reinforcement Learning via Matching of Optimality Profiles
    • [cs.LG]KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation
    • [cs.LG]Learning Recurrent Neural Net Models of Nonlinear Systems
    • [cs.LG]Learning in School: Multi-teacher Knowledge Inversion for Data-Free Quantization
    • [cs.LG]MG-GCN: Fast and Effective Learning with Mix-grained Aggregators for Training Large Graph Convolutional Networks
    • [cs.LG]MOFA: Modular Factorial Design for Hyperparameter Optimization
    • [cs.LG]Modular Multi Target Tracking Using LSTM Networks
    • [cs.LG]Multi-Task Adversarial Attack
    • [cs.LG]NeVer 2.0: Learning, Verification and Repair of Deep Neural Networks
    • [cs.LG]Node Similarity Preserving Graph Convolutional Networks
    • [cs.LG]On the Dynamics of Training Attention Models
    • [cs.LG]On tuning deep learning models: a data mining perspective
    • [cs.LG]Online Model Selection for Reinforcement Learning with Function Approximation
    • [cs.LG]Parrot: Data-Driven Behavioral Priors for Reinforcement Learning
    • [cs.LG]Robustness to Missing Features using Hierarchical Clustering with Split Neural Networks
    • [cs.LG]SOCAIRE: Forecasting and Monitoring Urban Air Quality in Madrid
    • [cs.LG]Scalable Graph Neural Networks for Heterogeneous Graphs
    • [cs.LG]Self-Gradient Networks
    • [cs.LG]Similarity-based Distance for Categorical Clustering using Space Structure
    • [cs.LG]Using Text to Teach Image Retrieval
    • [cs.LG]Vector Embeddings with Subvector Permutation Invariance using a Triplet Enhanced Autoencoder
    • [cs.LG]Wasserstein Learning of Determinantal Point Processes
    • [cs.NE]Neural network algorithm and its application in reactive distillation
    • [cs.NE]Proposing method to Increase the detection accuracy of stomach cancer based on colour and lint features of tongue using CNN and SVM
    • [cs.NE]Randomized Self Organizing Map
    • [cs.NE]Temporal Surrogate Back-propagation for Spiking Neural Networks
    • [cs.NE]Towards Metaheuristics “In the Large”
    • [cs.NE]Transfer learning of chaotic systems
    • [cs.RO]ACRONYM: A Large-Scale Grasp Dataset Based on Simulation
    • [cs.RO]Active Inference and Behavior Trees for Reactive Action Planning and Execution in Robotics
    • [cs.RO]Decentralized Task and Path Planning for Multi-Robot Systems
    • [cs.RO]SAFARI: Safe and Active Robot Imitation Learning with Imagination
    • [cs.RO]Seeing Through your Skin: Recognizing Objects with a Novel Visuotactile Sensor
    • [cs.RO]Solving Footstep Planning as a Feasibility Problem using L1-norm Minimization
    • [cs.RO]The Robot Household Marathon Experiment
    • [cs.RO]Visual Diver Face Recognition for Underwater Human-Robot Interaction
    • [cs.SD]Deep Residual Local Feature Learning for Speech Emotion Recognition
    • [cs.SE]ReAssert: Deep Learning for Assert Generation
    • [cs.SI]A Deterministic Hitting-Time Moment Approach to Seed-set Expansion over a Graph
    • [cs.SI]A Distributed Privacy-Preserving Learning Dynamics in General Social Networks
    • [cs.SI]A First Look at COVID-19 Messages on WhatsApp in Pakistan
    • [cs.SI]Contextual Stochastic Block Model: Sharp Thresholds and Contiguity
    • [cs.SI]Evolution of the political opinion landscape during electoral periods
    • [cs.SI]Time-Series Snapshot Network as A New Model for Role Recommendation in OSS
    • [cs.SI]Towards mmWave V2X in 5G and Beyond to Support Automated Driving
    • [eess.AS]Multi-stage Speaker Extraction with Utterance and Frame-Level Reference Signals
    • [eess.AS]TaL: a synchronised multi-speaker corpus of ultrasound tongue imaging, audio, and lip videos
    • [eess.AS]Universal MelGAN: A Robust Neural Vocoder for High-Fidelity Waveform Generation in Multiple Domains
    • [eess.IV]A Preliminary Comparison Between Compressive Sampling and Anisotropic Mesh-based Image Representation
    • [eess.IV]All-in-Focus Iris Camera With a Great Capture Volume
    • [eess.IV]Deep LF-Net: Semantic Lung Segmentation from Indian Chest Radiographs Including Severely Unhealthy Images
    • [eess.IV]Deep Learning for Automated Screening of Tuberculosis from Indian Chest X-rays: Analysis and Update
    • [eess.IV]Recursive Deep Prior Video: a Super Resolution algorithm for Time-Lapse Microscopy of organ-on-chip experiments
    • [eess.IV]Spectral Response Function Guided Deep Optimization-driven Network for Spectral Super-resolution
    • [eess.SP]Novel Classification of Ischemic Heart Disease Using Artificial Neural Network
    • [math.HO]Finding Your Way: Shortest Paths on Networks
    • [math.NA]GL-Coarsener: A Graph representation learning framework to construct coarse grid hierarchy for AMG solvers
    • [math.OC]Data-Driven Robust Optimization using Unsupervised Deep Learning
    • [math.OC]On Uninformative Optimal Policies in Adaptive LQR with Unknown B-Matrix
    • [math.ST]In- and Equivariance for Optimal Designs in Generalized Linear Models: The Gamma Model
    • [math.ST]On the asymptotic rate of convergence of Stochastic Newton algorithms and their Weighted Averaged versions
    • [math.ST]Sharp bounds for variance of treatment effect estimators in the finite population in the presence of covariates
    • [q-bio.PE]A Generalized Epidemiological Model for COVID-19 with Dynamic and Asymptomatic Population
    • [q-bio.QM]Freecyto: Quantized Flow Cytometry Analysis for the Web
    • [q-fin.TR]FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance
    • [quant-ph]Classical-Quantum Differentially Private Mechanisms Beyond Classical Ones
    • [quant-ph]Quantum Multiple Kernel Learning
    • [stat.AP]Modelling fertility potential in survivors of childhood cancer: An introduction to modern statistical and computational methods
    • [stat.AP]Stochastic Tropical Cyclone Precipitation Field Generation
    • [stat.AP]The Development and Deployment of a Model for Hospital-level COVID-19 Associated Patient Demand Intervals from Consistent Estimators (DICE)
    • [stat.AP]Variational Bayes method for ODE parameter estimation with application to time-varying SIR model for Covid-19 epidemic
    • [stat.CO]The Pearson Bayes factor: An analytic formula for computing evidential value from minimal summary statistics
    • [stat.ME]A general theory of regression adjustment for covariate-adaptive randomization: OLS, Lasso, and beyond
    • [stat.ME]A systematic review of causal methods enabling predictions under hypothetical interventions
    • [stat.ME]Clarifying causal mediation analysis for the applied researcher: Effect identification via three assumptions and five potential outcomes
    • [stat.ME]Positively Correlated Samples Save Pooled Testing Costs
    • [stat.ME]Robust, multiple change-point detection for covariance matrices using data depth
    • [stat.ME]Some Doubly and Multiply Robust Estimators of Controlled Direct Effects
    • [stat.ML]Application of Deep Learning-based Interpolation Methods to Nearshore Bathymetry
    • [stat.ML]Categorical exploratory data analysis on goodness-of-fit issues
    • [stat.ML]Preparing Weather Data for Real-Time Building Energy Simulation
    • [stat.ML]Variational Bayes Neural Network: Posterior Consistency, Classification Accuracy and Computational Challenges

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    • [cs.AI]A Theoretical Computer Science Perspective on Consciousness
    Manuel Blum, Lenore Blum
    http://arxiv.org/abs/2011.09850v1

    • [cs.AI]Conservative Extensions in Horn Description Logics with Inverse Roles
    Jean Christoph Jung, Carsten Lutz, Mauricio Martel, Thomas Schneider
    http://arxiv.org/abs/2011.09858v1

    • [cs.AI]Electric Vehicle Charging Infrastructure Planning: A Scalable Computational Framework
    Wanshi Hong, Cong Zhang, Cy Chan, Bin Wang
    http://arxiv.org/abs/2011.09967v1

    • [cs.AI]Explainable AI for System Failures: Generating Explanations that Improve Human Assistance in Fault Recovery
    Devleena Das, Siddhartha Banerjee, Sonia Chernova
    http://arxiv.org/abs/2011.09407v2

    • [cs.AI]Explainable Incipient Fault Detection Systems for Photovoltaic Panels
    S. Sairam, Seshadhri Srinivasan, G. Marafioti, B. Subathra, G. Mathisen, Korkut Bekiroglu
    http://arxiv.org/abs/2011.09843v1

    • [cs.AI]Exploring Constraint Handling Techniques in Real-world Problems on MOEA/D with Limited Budget of Evaluations
    Felipe Vaz, Yuri Lavinas, Claus Aranha, Marcelo Ladeira
    http://arxiv.org/abs/2011.09722v1

    • [cs.AI]First Order-Rewritability and Containment of Conjunctive Queries in Horn Description Logics
    Meghyn Bienvenu, Peter Hansen, Carsten Lutz, Frank Wolter
    http://arxiv.org/abs/2011.09836v1

    • [cs.AI]Improving Bayesian Network Structure Learning in the Presence of Measurement Error
    Yang Liu, Anthony C. Constantinou, ZhiGao Guo
    http://arxiv.org/abs/2011.09776v1

    • [cs.AI]Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?
    Christian Schroeder de Witt, Tarun Gupta, Denys Makoviichuk, Viktor Makoviychuk, Philip H. S. Torr, Mingfei Sun, Shimon Whiteson
    http://arxiv.org/abs/2011.09533v1

    • [cs.AI]Iterative Planning with Plan-Space Explanations: A Tool and User Study
    Rebecca Eifler, Jörg Hoffmann
    http://arxiv.org/abs/2011.09705v1

    • [cs.AI]Lifelong Knowledge Learning in Rule-based Dialogue Systems
    Bing Liu, Chuhe Mei
    http://arxiv.org/abs/2011.09811v1

    • [cs.AI]Multi-Modal Subjective Context Modelling and Recognition
    Qiang Shen, Stefano Teso, Wanyi Zhang, Hao Xu, Fausto Giunchiglia
    http://arxiv.org/abs/2011.09671v1

    • [cs.AI]On the Relationship Between KR Approaches for Explainable Planning
    Stylianos Loukas Vasileiou, William Yeoh, Tran Cao Son
    http://arxiv.org/abs/2011.09006v2

    • [cs.AI]RADAR-X: An Interactive Interface Pairing Contrastive Explanations with Revised Plan Suggestions
    Karthik Valmeekam, Sarath Sreedharan, Sailik Sengupta, Subbarao Kambhampati
    http://arxiv.org/abs/2011.09644v1

    • [cs.CL]A Sequence-to-Sequence Approach to Dialogue State Tracking
    Yue Feng, Yang Wang, Hang Li
    http://arxiv.org/abs/2011.09553v1

    • [cs.CL]An Integrated Approach for Improving Brand Consistency of Web Content: Modeling, Analysis and Recommendation
    Soumyadeep Roy, Shamik Sural, Niyati Chhaya, Anandhavelu Natarajan, Niloy Ganguly
    http://arxiv.org/abs/2011.09754v1

    • [cs.CL]Are Pre-trained Language Models Knowledgeable to Ground Open Domain Dialogues?
    Yufan Zhao, Wei Wu, Can Xu
    http://arxiv.org/abs/2011.09708v1

    • [cs.CL]Do We Need Online NLU Tools?
    Petr Lorenc, Petr Marek, Jan Pichl, Jakub Konrád, Jan Šedivý
    http://arxiv.org/abs/2011.09825v1

    • [cs.CL]Entity Recognition and Relation Extraction from Scientific and Technical Texts in Russian
    Elena Bruches, Alexey Pauls, Tatiana Batura, Vladimir Isachenko
    http://arxiv.org/abs/2011.09817v1

    • [cs.CL]Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP
    John Chen, Ian Berlot-Atwell, Safwan Hossain, Xindi Wang, Frank Rudzicz
    http://arxiv.org/abs/2011.09625v1

    • [cs.CL]Fact-level Extractive Summarization with Hierarchical Graph Mask on BERT
    Ruifeng Yuan, Zili Wang, Wenjie Li
    http://arxiv.org/abs/2011.09739v1

    • [cs.CL]Persuasive Dialogue Understanding: the Baselines and Negative Results
    Hui Chen, Deepanway Ghosal, Navonil Majumder, Amir Hussain, Soujanya Poria
    http://arxiv.org/abs/2011.09954v1

    • [cs.CL]Predicting metrical patterns in Spanish poetry with language models
    Javier de la Rosa, Salvador Ros, Elena González-Blanco
    http://arxiv.org/abs/2011.09567v1

    • [cs.CL]Relation Extraction with Contextualized Relation Embedding (CRE)
    Xiaoyu Chen, Rohan Badlani
    http://arxiv.org/abs/2011.09658v1

    • [cs.CL]SentiLSTM: A Deep Learning Approach for Sentiment Analysis of Restaurant Reviews
    Eftekhar Hossain, Omar Sharif, Mohammed Moshiul Hoque, Iqbal H. Sarker
    http://arxiv.org/abs/2011.09684v1

    • [cs.CR]Strong Data Augmentation Sanitizes Poisoning and Backdoor Attacks Without an Accuracy Tradeoff
    Eitan Borgnia, Valeriia Cherepanova, Liam Fowl, Amin Ghiasi, Jonas Geiping, Micah Goldblum, Tom Goldstein, Arjun Gupta
    http://arxiv.org/abs/2011.09527v1

    • [cs.CV]Abnormal Event Detection in Urban Surveillance Videos Using GAN and Transfer Learning
    Ali Atghaei, Soroush Ziaeinejad, Mohammad Rahmati
    http://arxiv.org/abs/2011.09619v1

    • [cs.CV]Adversarial Threats to DeepFake Detection: A Practical Perspective
    Paarth Neekhara, Brian Dolhansky, Joanna Bitton, Cristian Canton Ferrer
    http://arxiv.org/abs/2011.09957v1

    • [cs.CV]An Efficient and Scalable Deep Learning Approach for Road Damage Detection
    Sadra Naddaf-sh, M-Mahdi Naddaf-sh, Amir R. Kashani, Hassan Zargarzadeh
    http://arxiv.org/abs/2011.09577v1

    • [cs.CV]Attention-Based Transformers for Instance Segmentation of Cells in Microstructures
    Tim Prangemeier, Christoph Reich, Heinz Koeppl
    http://arxiv.org/abs/2011.09763v1

    • [cs.CV]Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation
    Soopil Kim, Sion An, Philip Chikontwe, Sang Hyun Park
    http://arxiv.org/abs/2011.09608v1

    • [cs.CV]Contextual Fusion For Adversarial Robustness
    Aiswarya Akumalla, Seth Haney, Maksim Bazhenov
    http://arxiv.org/abs/2011.09526v1

    • [cs.CV]Creative Sketch Generation
    Songwei Ge, Vedanuj Goswami, C. Lawrence Zitnick, Devi Parikh
    http://arxiv.org/abs/2011.10039v1

    • [cs.CV]Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation
    Xinge Zhu, Hui Zhou, Tai Wang, Fangzhou Hong, Yuexin Ma, Wei Li, Hongsheng Li, Dahua Lin
    http://arxiv.org/abs/2011.10033v1

    • [cs.CV]DCT-Mask: Discrete Cosine Transform Mask Representation for Instance Segmentation
    Xing Shen, Jirui Yang, Chunbo Wei, Bing Deng, Jianqiang Huang, Xiansheng Hua, Xiaoliang Cheng, Kewei Liang
    http://arxiv.org/abs/2011.09876v1

    • [cs.CV]Deep Multi-view Depth Estimation with Predicted Uncertainty
    Tong Ke, Tien Do, Khiem Vuong, Kourosh Sartipi, Stergios I. Roumeliotis
    http://arxiv.org/abs/2011.09594v1

    • [cs.CV]DeepMorph: A System for Hiding Bitstrings in Morphable Vector Drawings
    Søren Rasmussen, Karsten Østergaard Noe, Oliver Gyldenberg Hjermitslev, Henrik Pedersen
    http://arxiv.org/abs/2011.09783v1

    • [cs.CV]Defocus Blur Detection via Salient Region Detection Prior
    Ming Qian, Min Xia, Chunyi Sun, Zhiwei Wang, Liguo Weng
    http://arxiv.org/abs/2011.09677v1

    • [cs.CV]Dense Label Encoding for Boundary Discontinuity Free Rotation Detection
    Xue Yang, Liping Hou, Yue Zhou, Wentao Wang, Junchi Yan
    http://arxiv.org/abs/2011.09670v1

    • [cs.CV]Differentiable Data Augmentation with Kornia
    Jian Shi, Edgar Riba, Dmytro Mishkin, Francesc Moreno, Anguelos Nicolaou
    http://arxiv.org/abs/2011.09832v1

    • [cs.CV]Everybody Sign Now: Translating Spoken Language to Photo Realistic Sign Language Video
    Ben Saunders, Necati Cihan Camgoz, Richard Bowden
    http://arxiv.org/abs/2011.09846v1

    • [cs.CV]Extracting and Learning Fine-Grained Labels from Chest Radiographs
    Tanveer Syeda-Mahmood, Ph. D, K. C. L Wong, Ph. D, Joy T. Wu, M. D., M. P. H, Ashutosh Jadhav, Ph. D, Orest Boyko, M. D. Ph. D
    http://arxiv.org/abs/2011.09517v1

    • [cs.CV]Face Forgery Detection by 3D Decomposition
    Xiangyu Zhu, Hao Wang, Hongyan Fei, Zhen Lei, Stan Z. Li
    http://arxiv.org/abs/2011.09737v1

    • [cs.CV]Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery
    Zhuo Zheng, Yanfei Zhong, Junjue Wang, Ailong Ma
    http://arxiv.org/abs/2011.09766v1

    • [cs.CV]Geography-Aware Self-Supervised Learning
    Kumar Ayush, Burak Uzkent, Chenlin Meng, Marshall Burke, David Lobell, Stefano Ermon
    http://arxiv.org/abs/2011.09980v1

    • [cs.CV]HMFlow: Hybrid Matching Optical Flow Network for Small and Fast-Moving Objects
    Suihanjin Yu, Youmin Zhang, Chen Wang, Xiao Bai, Liang Zhang, Edwin R. Hancock
    http://arxiv.org/abs/2011.09654v1

    • [cs.CV]Heterogeneous Contrastive Learning: Encoding Spatial Information for Compact Visual Representations
    Xinyue Huo, Lingxi Xie, Longhui Wei, Xiaopeng Zhang, Hao Li, Zijie Yang, Wengang Zhou, Houqiang Li, Qi Tian
    http://arxiv.org/abs/2011.09941v1

    • [cs.CV]Latent-Separated Global Prediction for Learned Image Compression
    Zongyu Guo, Zhizheng Zhang, Runsen Feng, Simeng Sun, Zhibo Chen
    http://arxiv.org/abs/2011.09704v1

    • [cs.CV]Learning Deep Video Stabilization without Optical Flow
    Muhammad Kashif Ali, Sangjoon Yu, Tae Hyun Kim
    http://arxiv.org/abs/2011.09697v1

    • [cs.CV]Learning to Predict the 3D Layout of a Scene
    Jihao Andreas Lin, Jakob Brünker, Daniel Fährmann
    http://arxiv.org/abs/2011.09977v1

    • [cs.CV]Multi-Plane Program Induction with 3D Box Priors
    Yikai Li, Jiayuan Mao, Xiuming Zhang, Bill Freeman, Josh Tenenbaum, Noah Snavely, Jiajun Wu
    http://arxiv.org/abs/2011.10007v1

    • [cs.CV]Multigrid-in-Channels Neural Network Architectures
    Moshe Eliasof, Jonathan Ephrath, Lars Ruthotto, Eran Treister
    http://arxiv.org/abs/2011.09128v2

    • [cs.CV]Neuro-Symbolic Representations for Video Captioning: A Case for Leveraging Inductive Biases for Vision and Language
    Hassan Akbari, Hamid Palangi, Jianwei Yang, Sudha Rao, Asli Celikyilmaz, Roland Fernandez, Paul Smolensky, Jianfeng Gao, Shih-Fu Chang
    http://arxiv.org/abs/2011.09530v1

    • [cs.CV]Patient-independent Epileptic Seizure Prediction using Deep Learning Models
    Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes
    http://arxiv.org/abs/2011.09581v1

    • [cs.CV]Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning
    Zhenda Xie, Yutong Lin, Zheng Zhang, Yue Cao, Stephen Lin, Han Hu
    http://arxiv.org/abs/2011.10043v1

    • [cs.CV]Robustified Domain Adaptation
    Jiajin Zhang, Hanqing Chao, Pingkun Yan
    http://arxiv.org/abs/2011.09563v1

    • [cs.CV]Scene text removal via cascaded text stroke detection and erasing
    Xuewei Bian, Chaoqun Wang, Weize Quan, Juntao Ye, Xiaopeng Zhang, Dong-Ming Yan
    http://arxiv.org/abs/2011.09768v1

    • [cs.CV]Semantic Scene Completion using Local Deep Implicit Functions on LiDAR Data
    Christoph B. Rist, David Emmerichs, Markus Enzweiler, Dariu M. Gavrila
    http://arxiv.org/abs/2011.09141v2

    • [cs.CV]StressNet: Detecting Stress in Thermal Videos
    Satish Kumar, A S M Iftekhar, Michael Goebel, Tom Bullock, Mary H. MacLean, Michael B. Miller, Tyler Santander, Barry Giesbrecht, Scott T. Grafton, B. S. Manjunath
    http://arxiv.org/abs/2011.09540v1

    • [cs.CV]Style Intervention: How to Achieve Spatial Disentanglement with Style-based Generators?
    Yunfan Liu, Qi Li, Zhenan Sun, Tieniu Tan
    http://arxiv.org/abs/2011.09699v1

    • [cs.CV]TRAT: Tracking by Attention Using Spatio-Temporal Features
    Hasan Saribas, Hakan Cevikalp, Okan Köpüklü, Bedirhan Uzun
    http://arxiv.org/abs/2011.09524v1

    • [cs.CV]The Cube++ Illumination Estimation Dataset
    Egor Ershov, Alex Savchik, Illya Semenkov, Nikola Banić, Alexander Belokopytov, Daria Senshina, Karlo Koscević, Marko Subašić, Sven Lončarić
    http://arxiv.org/abs/2011.10028v1

    • [cs.CV]Towards Spatio-Temporal Video Scene Text Detection via Temporal Clustering
    Yuanqiang Cai, Chang Liu, Weiqiang Wang, Qixiang Ye
    http://arxiv.org/abs/2011.09781v1

    • [cs.CV]Unifying Instance and Panoptic Segmentation with Dynamic Rank-1 Convolutions
    Hao Chen, Chunhua Shen, Zhi Tian
    http://arxiv.org/abs/2011.09796v1

    • [cs.CV]Unmixing Convolutional Features for Crisp Edge Detection
    Linxi Huan, Xianwei Zheng, Nan Xue, Wei He, Jianya Gong, Gui-Song Xia
    http://arxiv.org/abs/2011.09808v1

    • [cs.CV]Watch and Learn: Mapping Language and Noisy Real-world Videos with Self-supervision
    Yujie Zhong, Linhai Xie, Sen Wang, Lucia Specia, Yishu Miao
    http://arxiv.org/abs/2011.09634v1

    • [cs.CY]The Influences of Pre-birth Factors in Early Assessment of Child Mortality using Machine Learning Techniques
    Asadullah Hill Galib, Nadia Nahar, B M Mainul Hossain
    http://arxiv.org/abs/2011.09536v1

    • [cs.CY]Using Ordinal Data to Assess Distance Learning
    Matthew Norris
    http://arxiv.org/abs/2011.09838v1

    • [cs.DB]Checking Causal Consistency of Distributed Databases
    Rachid Zennou, Ranadeep Biswas, Ahmed Bouajjani, Constantin Enea, Mohammed Erradi
    http://arxiv.org/abs/2011.09753v1

    • [cs.DC]heSRPT: Parallel Scheduling to Minimize Mean Slowdown
    Benjamin Berg, Rein Vesilo, Mor Harchol-Balter
    http://arxiv.org/abs/2011.09676v1

    • [cs.DS]Approximate Bipartite Vertex Cover in the CONGEST Model
    Salwa Faour, Fabian Kuhn
    http://arxiv.org/abs/2011.10014v1

    • [cs.DS]List-Decodable Mean Estimation in Nearly-PCA Time
    Ilias Diakonikolas, Daniel M. Kane, Daniel Kongsgaard, Jerry Li, Kevin Tian
    http://arxiv.org/abs/2011.09973v1

    • [cs.DS]Online Paging with a Vanishing Regret
    Yuval Emek, Shay Kutten, Yangguang Shi
    http://arxiv.org/abs/2011.09439v2

    • [cs.DS]Redistricting Algorithms
    Amariah Becker, Justin Solomon
    http://arxiv.org/abs/2011.09504v1

    • [cs.HC]Interval-valued aggregation functions based on moderate deviations applied to Motor-Imagery-Based Brain Computer Interface
    Javier Fumanal-Idocin, Zdenko Takáč, Javier Fernández Jose Antonio Sanz, Harkaitz Goyena, Ching-Teng Lin, Yu-Kai Wang, Humberto Bustince
    http://arxiv.org/abs/2011.09831v1

    • [cs.IR]From Protocol to Screening: A Hybrid Learning Approach for Technology-Assisted Systematic Literature Reviews
    Athanasios Lagopoulos, Grigorios Tsoumakas
    http://arxiv.org/abs/2011.09752v1

    • [cs.IR]Non-Linear Multiple Field Interactions Neural Document Ranking
    Kentaro Takiguchi, Niall Twomey, Luis M. Vaquero
    http://arxiv.org/abs/2011.09580v1

    • [cs.IT]Approximate Weighted $CR$ Coded Matrix Multiplication
    Neophytos Charalambides, Mert Pilanci, Alfred Hero
    http://arxiv.org/abs/2011.09709v1

    • [cs.IT]Energy Efficiency and Spectral Efficiency Tradeoff in RIS-Aided Multiuser MIMO Uplink Transmission
    Li You, Jiayuan Xiong, Derrick Wing Kwan Ng, Chau Yuen, Wenjin Wang, Xiqi Gao
    http://arxiv.org/abs/2011.09724v1

    • [cs.IT]Error Exponents in the Bee Identification Problem
    Ran Tamir, Neri Merhav
    http://arxiv.org/abs/2011.09799v1

    • [cs.IT]Hardware Implementation of Fano Decoder for PAC Codes
    Amir Mozammel
    http://arxiv.org/abs/2011.09819v1

    • [cs.IT]Hidden chaos factors inducing random walks as a factor restricting hospital operative efficiency
    A. J. Rodríguez-Hernández, Carlos Sevcik
    http://arxiv.org/abs/2011.09514v1

    • [cs.IT]Reconfigurable Intelligent Surface Optimal Placement in Millimeter-Wave Networks
    Konstantinos Ntontin, Alexandros-Apostolos A. Boulogeorgos, Dimitrios Selimis, Fotis Lazarakis, Angeliki Alexiou, Symeon Chatzinotas
    http://arxiv.org/abs/2011.09949v1

    • [cs.IT]Reconfigurable Intelligent Surface-Assisted Uplink Sparse Code Multiple Access
    Ibrahim Al-Nahhal, Octavia A. Dobre, Ertugrul Basar
    http://arxiv.org/abs/2011.09647v1

    • [cs.LG]A Cognitive Approach based on the Actionable Knowledge Graph for supporting Maintenance Operations
    Giuseppe Fenza, Mariacristina Gallo, Vincenzo Loia, Domenico Marino, Francesco Orciuoli
    http://arxiv.org/abs/2011.09554v1

    • [cs.LG]A Stable High-order Tuner for General Convex Functions
    José M. Moreu, Anuradha M. Annaswamy
    http://arxiv.org/abs/2011.09996v1

    • [cs.LG]A Temporal Convolution Network Approach to State-of-Charge Estimation in Li-ion Batteries
    Aniruddh Herle, Janamejaya Channegowda, Dinakar Prabhu
    http://arxiv.org/abs/2011.09775v1

    • [cs.LG]Adversarial Examples for $k$-Nearest Neighbor Classifiers Based on Higher-Order Voronoi Diagrams
    Chawin Sitawarin, Evgenios M. Kornaropoulos, Dawn Song, David Wagner
    http://arxiv.org/abs/2011.09719v1

    • [cs.LG]An Experimental Study of Semantic Continuity for Deep Learning Models
    Shangxi Wu, Jitao Sang, Xian Zhao, Lizhang Chen
    http://arxiv.org/abs/2011.09789v1

    • [cs.LG]Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification
    Youngseog Chung, Willie Neiswanger, Ian Char, Jeff Schneider
    http://arxiv.org/abs/2011.09588v1

    • [cs.LG]Budgeted Online Selection of Candidate IoT Clients to Participate in Federated Learning
    Ihab Mohammed, Shadha Tabatabai, Ala Al-Fuqaha, Faissal El Bouanani, Junaid Qadir, Basheer Qolomany, Mohsen Guizani
    http://arxiv.org/abs/2011.09849v1

    • [cs.LG]Challenges in Deploying Machine Learning: a Survey of Case Studies
    Andrei Paleyes, Raoul-Gabriel Urma, Neil D. Lawrence
    http://arxiv.org/abs/2011.09926v1

    • [cs.LG]Data Representing Ground-Truth Explanations to Evaluate XAI Methods
    Shideh Shams Amiri, Rosina O. Weber, Prateek Goel, Owen Brooks, Archer Gandley, Brian Kitchell, Aaron Zehm
    http://arxiv.org/abs/2011.09892v1

    • [cs.LG]Deep Reinforcement Learning for Stochastic Computation Offloading in Digital Twin Networks
    Yueyue Dai, Ke Zhang, Sabita Maharjan, Yan Zhang
    http://arxiv.org/abs/2011.08430v2

    • [cs.LG]DeepRepair: Style-Guided Repairing for DNNs in the Real-world Operational Environment
    Bing Yu, Hua Qi, Qing Guo, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Jianjun Zhao
    http://arxiv.org/abs/2011.09884v1

    • [cs.LG]DiffusionNet: Accelerating the solution of Time-Dependent partial differential equations using deep learning
    Mahmoud Asem
    http://arxiv.org/abs/2011.10015v1

    • [cs.LG]Effective, Efficient and Robust Neural Architecture Search
    Zhixiong Yue, Baijiong Lin, Xiaonan Huang, Yu Zhang
    http://arxiv.org/abs/2011.09820v1

    • [cs.LG]End-To-End Dilated Variational Autoencoder with Bottleneck Discriminative Loss for Sound Morphing — A Preliminary Study
    Matteo Lionello, Hendrik Purwins
    http://arxiv.org/abs/2011.09744v1

    • [cs.LG]Energy Aware Deep Reinforcement Learning Scheduling for Sensors Correlated in Time and Space
    Jernej Hribar, Andrei Marinescu, Alessandro Chiumento, Luiz A. DaSilva
    http://arxiv.org/abs/2011.09747v1

    • [cs.LG]Estimation of Shortest Path Covariance Matrices
    Raj Kumar Maity, Cameron Musco
    http://arxiv.org/abs/2011.09986v1

    • [cs.LG]FedEval: A Benchmark System with a Comprehensive Evaluation Model for Federated Learning
    Di Chai, Leye Wang, Kai Chen, Qiang Yang
    http://arxiv.org/abs/2011.09655v1

    • [cs.LG]Finding the Homology of Decision Boundaries with Active Learning
    Weizhi Li, Gautam Dasarathy, Karthikeyan Natesan Ramamurthy, Visar Berisha
    http://arxiv.org/abs/2011.09645v1

    • [cs.LG]Fully Gap-Dependent Bounds for Multinomial Logit Bandit
    Jiaqi Yang
    http://arxiv.org/abs/2011.09998v1

    • [cs.LG]GRAPHSPY: Fused Program Semantic-Level Embedding via Graph Neural Networks for Dead Store Detection
    Yixin Guo, Pengcheng Li, Yingwei Luo, Xiaolin Wang, Zhenlin Wang
    http://arxiv.org/abs/2011.09501v1

    • [cs.LG]High-Throughput Approach to Modeling Healthcare Costs Using Electronic Healthcare Records
    Alex Taylor, Ross Kleiman, Scott Hebbring, Peggy Peissig, David Page
    http://arxiv.org/abs/2011.09497v1

    • [cs.LG]Impact of Accuracy on Model Interpretations
    Brian Liu, Madeleine Udell
    http://arxiv.org/abs/2011.09903v1

    • [cs.LG]Improved rates for identification of partially observed linear dynamical systems
    Holden Lee
    http://arxiv.org/abs/2011.10006v1

    • [cs.LG]Inverse Constrained Reinforcement Learning
    Usman Anwar, Shehryar Malik, Alireza Aghasi, Ali Ahmed
    http://arxiv.org/abs/2011.09999v1

    • [cs.LG]Inverse Reinforcement Learning via Matching of Optimality Profiles
    Luis Haug, Ivan Ovinnikov, Eugene Bykovets
    http://arxiv.org/abs/2011.09264v2

    • [cs.LG]KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation
    Hao-Zhe Feng, Zhaoyang You, Minghao Chen, Tianye Zhang, Minfeng Zhu, Fei Wu, Chao Wu, Wei Chen
    http://arxiv.org/abs/2011.09757v1

    • [cs.LG]Learning Recurrent Neural Net Models of Nonlinear Systems
    Joshua Hanson, Maxim Raginsky, Eduardo Sontag
    http://arxiv.org/abs/2011.09573v1

    • [cs.LG]Learning in School: Multi-teacher Knowledge Inversion for Data-Free Quantization
    Yuhang Li, Feng Zhu, Ruihao Gong, Mingzhu Shen, Fengwei Yu, Shaoqing Lu, Shi Gu
    http://arxiv.org/abs/2011.09899v1

    • [cs.LG]MG-GCN: Fast and Effective Learning with Mix-grained Aggregators for Training Large Graph Convolutional Networks
    Tao Huang, Yihan Zhang, Jiajing Wu, Junyuan Fang, Zibin Zheng
    http://arxiv.org/abs/2011.09900v1

    • [cs.LG]MOFA: Modular Factorial Design for Hyperparameter Optimization
    Bo Xiong, Yimin Huang, Steffen Staab, Zhenguo Li
    http://arxiv.org/abs/2011.09545v1

    • [cs.LG]Modular Multi Target Tracking Using LSTM Networks
    Rishabh Verma, R Rajesh, MS Easwaran
    http://arxiv.org/abs/2011.09839v1

    • [cs.LG]Multi-Task Adversarial Attack
    Pengxin Guo, Yuancheng Xu, Baijiong Lin, Yu Zhang
    http://arxiv.org/abs/2011.09824v1

    • [cs.LG]NeVer 2.0: Learning, Verification and Repair of Deep Neural Networks
    Dario Guidotti, Luca Pulina, Armando Tacchella
    http://arxiv.org/abs/2011.09933v1

    • [cs.LG]Node Similarity Preserving Graph Convolutional Networks
    Wei Jin, Tyler Derr, Yiqi Wang, Yao Ma, Zitao Liu, Jiliang Tang
    http://arxiv.org/abs/2011.09643v1

    • [cs.LG]On the Dynamics of Training Attention Models
    Haoye Lu, Yongyi Mao, Amiya Nayak
    http://arxiv.org/abs/2011.10036v1

    • [cs.LG]On tuning deep learning models: a data mining perspective
    M. M. Ozturk
    http://arxiv.org/abs/2011.09857v1

    • [cs.LG]Online Model Selection for Reinforcement Learning with Function Approximation
    Jonathan N. Lee, Aldo Pacchiano, Vidya Muthukumar, Weihao Kong, Emma Brunskill
    http://arxiv.org/abs/2011.09750v1

    • [cs.LG]Parrot: Data-Driven Behavioral Priors for Reinforcement Learning
    Avi Singh, Huihan Liu, Gaoyue Zhou, Albert Yu, Nicholas Rhinehart, Sergey Levine
    http://arxiv.org/abs/2011.10024v1

    • [cs.LG]Robustness to Missing Features using Hierarchical Clustering with Split Neural Networks
    Rishab Khincha, Utkarsh Sarawgi, Wazeer Zulfikar, Pattie Maes
    http://arxiv.org/abs/2011.09596v1

    • [cs.LG]SOCAIRE: Forecasting and Monitoring Urban Air Quality in Madrid
    Rodrigo de Medrano, Víctor de Buen Remiro, José L. Aznarte
    http://arxiv.org/abs/2011.09741v1

    • [cs.LG]Scalable Graph Neural Networks for Heterogeneous Graphs
    Lingfan Yu, Jiajun Shen, Jinyang Li, Adam Lerer
    http://arxiv.org/abs/2011.09679v1

    • [cs.LG]Self-Gradient Networks
    Hossein Aboutalebi, Mohammad Javad Shafiee Alexander Wong
    http://arxiv.org/abs/2011.09364v2

    • [cs.LG]Similarity-based Distance for Categorical Clustering using Space Structure
    Utkarsh Nath, Shikha Asrani, Rahul Katarya
    http://arxiv.org/abs/2011.09887v1

    • [cs.LG]Using Text to Teach Image Retrieval
    Haoyu Dong, Ze Wang, Qiang Qiu, Guillermo Sapiro
    http://arxiv.org/abs/2011.09928v1

    • [cs.LG]Vector Embeddings with Subvector Permutation Invariance using a Triplet Enhanced Autoencoder
    Mark Alan Matties
    http://arxiv.org/abs/2011.09550v1

    • [cs.LG]Wasserstein Learning of Determinantal Point Processes
    Lucas Anquetil, Mike Gartrell, Alain Rakotomamonjy, Ugo Tanielian, Clément Calauzènes
    http://arxiv.org/abs/2011.09712v1

    • [cs.NE]Neural network algorithm and its application in reactive distillation
    Huihui Wang, Ruyang Mo
    http://arxiv.org/abs/2011.09969v1

    • [cs.NE]Proposing method to Increase the detection accuracy of stomach cancer based on colour and lint features of tongue using CNN and SVM
    Elham Gholami, Seyed Reza Kamel Tabbakh, Maryam Kheirabadi
    http://arxiv.org/abs/2011.09962v1

    • [cs.NE]Randomized Self Organizing Map
    Nicolas P. Rougier, Georgios Is. Detorakis
    http://arxiv.org/abs/2011.09534v1

    • [cs.NE]Temporal Surrogate Back-propagation for Spiking Neural Networks
    Yukun Yang
    http://arxiv.org/abs/2011.09964v1

    • [cs.NE]Towards Metaheuristics “In the Large”
    Jerry Swan, Steven Adraensen, Alexander E. I. Brownlee, Colin G. Johnson, Ahmed Kheiri, Faustyna Krawiec, J. J. Merelo, Leandro L. Minku, Ender Özcan, Gisele L. Pappa, Pablo García-Sánchez, Kenneth Sörensen, Stefan Voß, Markus Wagner, David R. White
    http://arxiv.org/abs/2011.09821v1

    • [cs.NE]Transfer learning of chaotic systems
    Yali Guo, Han Zhang, Liang Wang, Huawei Fan, Xingang Wang
    http://arxiv.org/abs/2011.09970v1

    • [cs.RO]ACRONYM: A Large-Scale Grasp Dataset Based on Simulation
    Clemens Eppner, Arsalan Mousavian, Dieter Fox
    http://arxiv.org/abs/2011.09584v1

    • [cs.RO]Active Inference and Behavior Trees for Reactive Action Planning and Execution in Robotics
    Corrado Pezzato, Carlos Hernandez, Martijn Wisse
    http://arxiv.org/abs/2011.09756v1

    • [cs.RO]Decentralized Task and Path Planning for Multi-Robot Systems
    Yuxiao Chen, Ugo Rosolia, Aaron D. Ames
    http://arxiv.org/abs/2011.10034v1

    • [cs.RO]SAFARI: Safe and Active Robot Imitation Learning with Imagination
    Norman Di Palo, Edward Johns
    http://arxiv.org/abs/2011.09586v1

    • [cs.RO]Seeing Through your Skin: Recognizing Objects with a Novel Visuotactile Sensor
    Francois Robert Hogan, Michael Jenkin, Sahand Rezaei-Shoshtari, Yogesh Girdhar, David Meger, Gregory Dudek
    http://arxiv.org/abs/2011.09552v1

    • [cs.RO]Solving Footstep Planning as a Feasibility Problem using L1-norm Minimization
    Daeun Song, Pierre Fernbach, Thomas Flayols, Andrea Del Prete, Nicolas Mansard, Steve Tonneau, Young J. Kim
    http://arxiv.org/abs/2011.09772v1

    • [cs.RO]The Robot Household Marathon Experiment
    Gayane Kazhoyan, Simon Stelter, Franklin Kenghagho Kenfack, Sebastian Koralewski, Michael Beetz
    http://arxiv.org/abs/2011.09792v1

    • [cs.RO]Visual Diver Face Recognition for Underwater Human-Robot Interaction
    Jungseok Hong, Sadman Sakib Enan, Christopher Morse, Junaed Sattar
    http://arxiv.org/abs/2011.09556v1

    • [cs.SD]Deep Residual Local Feature Learning for Speech Emotion Recognition
    Sattaya Singkul, Thakorn Chatchaisathaporn, Boontawee Suntisrivaraporn, Kuntpong Woraratpanya
    http://arxiv.org/abs/2011.09767v1

    • [cs.SE]ReAssert: Deep Learning for Assert Generation
    Robert White, Jens Krinke
    http://arxiv.org/abs/2011.09784v1

    • [cs.SI]A Deterministic Hitting-Time Moment Approach to Seed-set Expansion over a Graph
    Alexander H. Foss, Richard B. Lehoucq, W. Zachary Stuart, J. Derek Tucker, Jonathan W. Berry
    http://arxiv.org/abs/2011.09544v1

    • [cs.SI]A Distributed Privacy-Preserving Learning Dynamics in General Social Networks
    Youming Tao, Shuzhen Chen, Feng Li, Dongxiao Yu, Jiguo Yu, Hao Sheng
    http://arxiv.org/abs/2011.09845v1

    • [cs.SI]A First Look at COVID-19 Messages on WhatsApp in Pakistan
    R. Tallal Javed, Mirza Elaaf Shuja, Muhammad Usama, Junaid Qadir, Waleed Iqbal, Gareth Tyson, Ignacio Castro, Kiran Garimella
    http://arxiv.org/abs/2011.09145v2

    • [cs.SI]Contextual Stochastic Block Model: Sharp Thresholds and Contiguity
    Chen Lu, Subhabrata Sen
    http://arxiv.org/abs/2011.09841v1

    • [cs.SI]Evolution of the political opinion landscape during electoral periods
    Tomás Mussi Reyero, Mariano G. Beiró, J. Ignacio Alvarez-Hamelin, Laura Hernández, Dimitris Kotzinos
    http://arxiv.org/abs/2011.09538v1

    • [cs.SI]Time-Series Snapshot Network as A New Model for Role Recommendation in OSS
    Jinyin Chen, Yunyi Xie, Jian Zhang, Xincheng Shu, Qi Xuan
    http://arxiv.org/abs/2011.09883v1

    • [cs.SI]Towards mmWave V2X in 5G and Beyond to Support Automated Driving
    Kei Sakaguchi, Ryuichi Fukatsu, Tao Yu, Eisuke Fukuda, Kim Mahler, Robert Heath, Takeo Fujii, Kazuaki Takahashi, Alexey Khoryaev, Satoshi Nagata, Takayuki Shimizu
    http://arxiv.org/abs/2011.09590v1

    • [eess.AS]Multi-stage Speaker Extraction with Utterance and Frame-Level Reference Signals
    Meng Ge, Chenglin Xu, Longbiao Wang, Eng Siong Chng, Jianwu Dang, Haizhou Li
    http://arxiv.org/abs/2011.09624v1

    • [eess.AS]TaL: a synchronised multi-speaker corpus of ultrasound tongue imaging, audio, and lip videos
    Manuel Sam Ribeiro, Jennifer Sanger, Jing-Xuan Zhang, Aciel Eshky, Alan Wrench, Korin Richmond, Steve Renals
    http://arxiv.org/abs/2011.09804v1

    • [eess.AS]Universal MelGAN: A Robust Neural Vocoder for High-Fidelity Waveform Generation in Multiple Domains
    Won Jang, Dan Lim, Jaesam Yoon
    http://arxiv.org/abs/2011.09631v1

    • [eess.IV]A Preliminary Comparison Between Compressive Sampling and Anisotropic Mesh-based Image Representation
    Xianping Li, Teresa Wu
    http://arxiv.org/abs/2011.09944v1

    • [eess.IV]All-in-Focus Iris Camera With a Great Capture Volume
    Kunbo Zhang, Zhenteng Shen, Yunlong Wang, Zhenan Sun
    http://arxiv.org/abs/2011.09908v1

    • [eess.IV]Deep LF-Net: Semantic Lung Segmentation from Indian Chest Radiographs Including Severely Unhealthy Images
    Anushikha Singh, Brejesh Lall, B. K. Panigrahi, Anjali Agrawal, Anurag Agrawal, DJ Christopher, Balamugesh Thangakunam
    http://arxiv.org/abs/2011.09695v1

    • [eess.IV]Deep Learning for Automated Screening of Tuberculosis from Indian Chest X-rays: Analysis and Update
    Anushikha Singh, Brejesh Lall, B. K. Panigrahi, Anjali Agrawal, Anurag Agrawal, Balamugesh Thangakunam, DJ Christopher
    http://arxiv.org/abs/2011.09778v1

    • [eess.IV]Recursive Deep Prior Video: a Super Resolution algorithm for Time-Lapse Microscopy of organ-on-chip experiments
    Pasquale Cascarano, Maria Colomba Comes, Arianna Mencattini, Maria Carla Parrini, Elena Loli Piccolomini, Eugenio Martinelli
    http://arxiv.org/abs/2011.09855v1

    • [eess.IV]Spectral Response Function Guided Deep Optimization-driven Network for Spectral Super-resolution
    Jiang He, Jie Li, Qiangqiang Yuan, Huanfeng Shen, Liangpei Zhang
    http://arxiv.org/abs/2011.09701v1

    • [eess.SP]Novel Classification of Ischemic Heart Disease Using Artificial Neural Network
    Giulia Silveri, Marco Merlo, Luca Restivo, Gianfranco Sinagra, Agostino Accardo
    http://arxiv.org/abs/2011.09801v1

    • [math.HO]Finding Your Way: Shortest Paths on Networks
    Teresa Rexin, Mason A. Porter
    http://arxiv.org/abs/2011.09632v1

    • [math.NA]GL-Coarsener: A Graph representation learning framework to construct coarse grid hierarchy for AMG solvers
    Reza Namazi, Arsham Zolanvari, Mahdi Sani, Seyed Amir Ali Ghafourian Ghahramani
    http://arxiv.org/abs/2011.09994v1

    • [math.OC]Data-Driven Robust Optimization using Unsupervised Deep Learning
    Marc Goerigk, Jannis Kurtz
    http://arxiv.org/abs/2011.09769v1

    • [math.OC]On Uninformative Optimal Policies in Adaptive LQR with Unknown B-Matrix
    Ingvar Ziemann, Henrik Sandberg
    http://arxiv.org/abs/2011.09288v2

    • [math.ST]In- and Equivariance for Optimal Designs in Generalized Linear Models: The Gamma Model
    Osama Idais, Rainer Schwabe
    http://arxiv.org/abs/2011.09745v1

    • [math.ST]On the asymptotic rate of convergence of Stochastic Newton algorithms and their Weighted Averaged versions
    Claire Boyer, Antoine Godichon-Baggioni
    http://arxiv.org/abs/2011.09706v1

    • [math.ST]Sharp bounds for variance of treatment effect estimators in the finite population in the presence of covariates
    Ruoyu Wang, Qihua Wang, Wang Miao, Xiaohua Zhou
    http://arxiv.org/abs/2011.09829v1

    • [q-bio.PE]A Generalized Epidemiological Model for COVID-19 with Dynamic and Asymptomatic Population
    Anirban Ghatak, Shivshanker Singh Patel, Soham Bonnerjee, Subhrajyoty Roy
    http://arxiv.org/abs/2011.09686v1

    • [q-bio.QM]Freecyto: Quantized Flow Cytometry Analysis for the Web
    Nathan Wong, Daehwan Kim, Zachery Robinson, Connie Huang, Irina M. Conboy
    http://arxiv.org/abs/2011.09770v1

    • [q-fin.TR]FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance
    Xiao-Yang Liu, Hongyang Yang, Qian Chen, Runjia Zhang, Liuqing Yang, Bowen Xiao, Christina Dan Wang
    http://arxiv.org/abs/2011.09607v1

    • [quant-ph]Classical-Quantum Differentially Private Mechanisms Beyond Classical Ones
    Yuuya Yoshida
    http://arxiv.org/abs/2011.09960v1

    • [quant-ph]Quantum Multiple Kernel Learning
    Seyed Shakib Vedaie, Moslem Noori, Jaspreet S. Oberoi, Barry C. Sanders, Ehsan Zahedinejad
    http://arxiv.org/abs/2011.09694v1

    • [stat.AP]Modelling fertility potential in survivors of childhood cancer: An introduction to modern statistical and computational methods
    L. Yu, Z. Lu, P. C. Nathan, S. Mostoufi-Moab, Y. Yuan
    http://arxiv.org/abs/2011.10020v1

    • [stat.AP]Stochastic Tropical Cyclone Precipitation Field Generation
    William Kleiber, Stephan Sain, Luke Madaus, Patrick Harr
    http://arxiv.org/abs/2011.09918v1

    • [stat.AP]The Development and Deployment of a Model for Hospital-level COVID-19 Associated Patient Demand Intervals from Consistent Estimators (DICE)
    Linying Yang, Teng Zhang, Peter Glynn, David Scheinker
    http://arxiv.org/abs/2011.09377v2

    • [stat.AP]Variational Bayes method for ODE parameter estimation with application to time-varying SIR model for Covid-19 epidemic
    Hyunjoo Yang, Jaeyong Lee
    http://arxiv.org/abs/2011.09718v1

    • [stat.CO]The Pearson Bayes factor: An analytic formula for computing evidential value from minimal summary statistics
    Thomas J. Faulkenberry
    http://arxiv.org/abs/2011.09549v1

    • [stat.ME]A general theory of regression adjustment for covariate-adaptive randomization: OLS, Lasso, and beyond
    Hanzhong Liu, Fuyi Tu, Wei Ma
    http://arxiv.org/abs/2011.09734v1

    • [stat.ME]A systematic review of causal methods enabling predictions under hypothetical interventions
    Lijing Lin, Matthew Sperrin, David A. Jenkins, Glen P. Martin, Niels Peek
    http://arxiv.org/abs/2011.09815v1

    • [stat.ME]Clarifying causal mediation analysis for the applied researcher: Effect identification via three assumptions and five potential outcomes
    Trang Quynh Nguyen, Ian Schmid, Elizabeth L. Ogburn, Elizabeth A. Stuart
    http://arxiv.org/abs/2011.09537v1

    • [stat.ME]Positively Correlated Samples Save Pooled Testing Costs
    Yi-Jheng Lin, Che-Hao Yu, Tzu-Hsuan Liu, Cheng-Shang Chang, Wen-Tsuen Chen
    http://arxiv.org/abs/2011.09794v1

    • [stat.ME]Robust, multiple change-point detection for covariance matrices using data depth
    Kelly Ramsay, Shoja’eddin Chenouri
    http://arxiv.org/abs/2011.09558v1

    • [stat.ME]Some Doubly and Multiply Robust Estimators of Controlled Direct Effects
    Xiang Zhou
    http://arxiv.org/abs/2011.09569v1

    • [stat.ML]Application of Deep Learning-based Interpolation Methods to Nearshore Bathymetry
    Yizhou Qian, Mojtaba Forghani, Jonghyun Harry Lee, Matthew Farthing, Tyler Hesser, Peter Kitanidis, Eric Darve
    http://arxiv.org/abs/2011.09707v1

    • [stat.ML]Categorical exploratory data analysis on goodness-of-fit issues
    Sabrina Enriquez, Fushing Hsieh
    http://arxiv.org/abs/2011.09682v1

    • [stat.ML]Preparing Weather Data for Real-Time Building Energy Simulation
    Maryam MeshkinKiya, Riccardo Paolini
    http://arxiv.org/abs/2011.09733v1

    • [stat.ML]Variational Bayes Neural Network: Posterior Consistency, Classification Accuracy and Computational Challenges
    Shrijita Bhattacharya, Zihuan Liu, Tapabrata Maiti
    http://arxiv.org/abs/2011.09592v1