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.GR - 计算机图形学 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.MM - 多媒体 cs.NE - 神经与进化计算 cs.RO - 机器人学 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.RA - 环与代数 math.ST - 统计理论 nlin.AO - 适应和自组织系统 physics.app-ph - 应用物理 physics.med-ph - 医学物理学 physics.soc-ph - 物理学与社会 q-bio.MN - 分子网络 q-bio.NC - 神经元与认知 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]Causal Discovery for Causal Bandits utilizing Separating Sets
    • [cs.AI]Competitive Ratios for Online Multi-capacity Ridesharing
    • [cs.AI]Competitiveness of MAP-Elites against Proximal Policy Optimization on locomotion tasks in deterministic simulations
    • [cs.AI]Detecting Cross-Modal Inconsistency to Defend Against Neural Fake News
    • [cs.AI]Large-Scale Intelligent Microservices
    • [cs.AI]Modeling human visual search: A combined Bayesian searcher and saliency map approach for eye movement guidance in natural scenes
    • [cs.AI]Optimal Sepsis Patient Treatment using Human-in-the-loop Artificial Intelligence
    • [cs.AI]RDF2Vec Light — A Lightweight Approach for Knowledge Graph Embeddings
    • [cs.AI]Strategy Proof Mechanisms for Facility Location at Limited Locations
    • [cs.AI]Strategy Proof Mechanisms for Facility Location in Euclidean and Manhattan Space
    • [cs.AI]Strategy Proof Mechanisms for Facility Location with Capacity Limits
    • [cs.AI]The relationship between dynamic programming and active inference: the discrete, finite-horizon case
    • [cs.AI]Urban Traffic Flow Forecast Based on FastGCRNN
    • [cs.CL]A Computational Approach to Understanding Empathy Expressed in Text-Based Mental Health Support
    • [cs.CL]A Deep Learning Approach to Geographical Candidate Selection through Toponym Matching
    • [cs.CL]A Probabilistic End-To-End Task-Oriented Dialog Model with Latent Belief States towards Semi-Supervised Learning
    • [cs.CL]Code-switching pre-training for neural machine translation
    • [cs.CL]Compositional and Lexical Semantics in RoBERTa, BERT and DistilBERT: A Case Study on CoQA
    • [cs.CL]DSC IIT-ISM at SemEval-2020 Task 6: Boosting BERT with Dependencies for Definition Extraction
    • [cs.CL]Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning
    • [cs.CL]End-to-End Neural Event Coreference Resolution
    • [cs.CL]Evaluating Interactive Summarization: an Expansion-Based Framework
    • [cs.CL]Fast and Accurate Sequence Labeling with Approximate Inference Network
    • [cs.CL]FewJoint: A Few-shot Learning Benchmark for Joint Language Understanding
    • [cs.CL]Generating Label Cohesive and Well-Formed Adversarial Claims
    • [cs.CL]Grounded Adaptation for Zero-shot Executable Semantic Parsing
    • [cs.CL]How to marry a star: probabilistic constraints for meaning in context
    • [cs.CL]ISCAS at SemEval-2020 Task 5: Pre-trained Transformers for Counterfactual Statement Modeling
    • [cs.CL]Modeling Task Effects on Meaning Representation in the Brain via Zero-Shot MEG Prediction
    • [cs.CL]More Embeddings, Better Sequence Labelers?
    • [cs.CL]Multi-modal Summarization for Video-containing Documents
    • [cs.CL]Multi^2OIE: Multilingual Open Information Extraction based on Multi-Head Attention with BERT
    • [cs.CL]On the Transferability of Minimal Prediction Preserving Inputs in Question Answering
    • [cs.CL]Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks
    • [cs.CL]Self-supervised pre-training and contrastive representation learning for multiple-choice video QA
    • [cs.CL]State-Machine-Based Dialogue Agents with Few-Shot Contextual Semantic Parsers
    • [cs.CL]Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis
    • [cs.CL]Towards Fully 8-bit Integer Inference for the Transformer Model
    • [cs.CL]What if we had no Wikipedia? Domain-independent Term Extraction from a Large News Corpus
    • cs.CRclear and (In)conspicuous: The right to opt-out of sale under CCPA
    • [cs.CR]Location-based Behavioral Authentication Using GPS Distance Coherence
    • [cs.CR]Post Quantum Secure Command and Control of Mobile Agents : Inserting quantum-resistant encryption schemes in the Secure Robot Operating System
    • [cs.CV]A Linked Aggregate Code for Processing Faces (Revised Version)
    • [cs.CV]A Multimodal Memes Classification: A Survey and Open Research Issues
    • [cs.CV]AAG: Self-Supervised Representation Learning by Auxiliary Augmentation with GNT-Xent Loss
    • [cs.CV]Adversarial Image Composition with Auxiliary Illumination
    • [cs.CV]An Algorithm to Attack Neural Network Encoder-based Out-Of-Distribution Sample Detector
    • [cs.CV]Arbitrary Video Style Transfer via Multi-Channel Correlation
    • [cs.CV]Back to Event Basics: Self-Supervised Learning of Image Reconstruction for Event Cameras via Photometric Constancy
    • [cs.CV]CSI2Image: Image Reconstruction from Channel State Information Using Generative Adversarial Networks
    • [cs.CV]Collaborative Training between Region Proposal Localization and Classi?cation for Domain Adaptive Object Detection
    • [cs.CV]Counterfactual Generation and Fairness Evaluation Using Adversarially Learned Inference
    • [cs.CV]Crossing You in Style: Cross-modal Style Transfer from Music to Visual Arts
    • [cs.CV]DLBCL-Morph: Morphological features computed using deep learning for an annotated digital DLBCL image set
    • [cs.CV]DanceIt: Music-inspired Dancing Video Synthesis
    • [cs.CV]Decision-based Universal Adversarial Attack
    • [cs.CV]Deep Learning Approaches to Classification of Production Technology for 19th Century Books
    • [cs.CV]Deep Momentum Uncertainty Hashing
    • [cs.CV]Deploying machine learning to assist digital humanitarians: making image annotation in OpenStreetMap more efficient
    • [cs.CV]Dynamic Edge Weights in Graph Neural Networks for 3D Object Detection
    • [cs.CV]Dynamic Regions Graph Neural Networks for Spatio-Temporal Reasoning
    • [cs.CV]Face Mask Detection using Transfer Learning of InceptionV3
    • [cs.CV]High-precision target positioning system for unmanned vehicles based on binocular vision
    • [cs.CV]Image Retrieval for Structure-from-Motion via Graph Convolutional Network
    • [cs.CV]LDNet: End-to-End Lane Detection Approach usinga Dynamic Vision Sensor
    • [cs.CV]Label Smoothing and Adversarial Robustness
    • [cs.CV]Learning a Deep Part-based Representation by Preserving Data Distribution
    • [cs.CV]Learning to Identify Physical Parameters from Video Using Differentiable Physics
    • [cs.CV]Low-Rank Matrix Recovery from Noisy via an MDL Framework-based Atomic Norm
    • [cs.CV]MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks
    • [cs.CV]Microtubule Tracking in Electron Microscopy Volumes
    • [cs.CV]MoPro: Webly Supervised Learning with Momentum Prototypes
    • [cs.CV]Multi-Stage CNN Architecture for Face Mask Detection
    • [cs.CV]Multiple Exemplars-based Hallucinationfor Face Super-resolution and Editing
    • [cs.CV]Noisy Concurrent Training for Efficient Learning under Label Noise
    • [cs.CV]Novel View Synthesis from Single Images via Point Cloud Transformation
    • [cs.CV]Online Alternate Generator against Adversarial Attacks
    • [cs.CV]Parallax Attention for Unsupervised Stereo Correspondence Learning
    • [cs.CV]Radar-Camera Sensor Fusion for Joint Object Detection and Distance Estimation in Autonomous Vehicles
    • [cs.CV]S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning
    • [cs.CV]SLGAN: Style- and Latent-guided Generative Adversarial Network for Desirable Makeup Transfer and Removal
    • [cs.CV]Skeletonization and Reconstruction based on Graph Morphological Transformations
    • [cs.CV]Using Sensory Time-cue to enable Unsupervised Multimodal Meta-learning
    • [cs.CV]Vax-a-Net: Training-time Defence Against Adversarial Patch Attacks
    • [cs.CV]Video based real-time positional tracker
    • [cs.CV]Word Segmentation from Unconstrained Handwritten Bangla Document Images using Distance Transform
    • [cs.CY]Building power consumption datasets: Survey, taxonomy and future directions
    • [cs.CY]Efficient multi-descriptor fusion for non-intrusive appliance recognition
    • [cs.CY]Planting trees at the right places: Recommending suitable sites for growing trees using algorithm fusion
    • [cs.CY]Population Mapping in Informal Settlements with High-Resolution Satellite Imagery and Equitable Ground-Truth
    • [cs.DC]A New Perspective of Graph Data and A Generic and Efficient Method for Large Scale Graph Data Traversal
    • [cs.DC]Exploration of Fine-Grained Parallelism for Load Balancing Eager K-truss on GPU and CPU
    • [cs.DC]Extending SLURM for Dynamic Resource-Aware Adaptive Batch Scheduling
    • [cs.DC]Finding Subgraphs in Highly Dynamic Networks
    • [cs.DC]WarpCore: A Library for fast Hash Tables on GPUs
    • [cs.DS]Algorithms and Complexity for Variants of Covariates Fine Balance
    • [cs.DS]Coordinate Methods for Matrix Games
    • [cs.GR]ShapeAssembly: Learning to Generate Programs for 3D Shape Structure Synthesis
    • [cs.IR]Learning to Personalize for Web Search Sessions
    • [cs.IR]Online Algorithms for Estimating Change Rates of Web Pages
    • [cs.IT]Berrut Approximated Coded Computing: Straggler Resistance Beyond Polynomial Computing
    • [cs.IT]Binarized Johnson-Lindenstrauss embeddings
    • [cs.IT]Caching in Networks without Regret
    • [cs.IT]Coordinate transitivity of extended perfect codes and their SQS
    • [cs.IT]Partial MDS Codes with Regeneration
    • [cs.IT]Reconfigurable Intelligent Surface (RIS) Assisted Wireless Coverage Extension: RIS Orientation and Location Optimization
    • [cs.LG]’Less Than One’-Shot Learning: Learning N Classes From M• [cs.LG]A Network-Based High-Level Data Classification Algorithm Using Betweenness Centrality
    • [cs.LG]An Extension of Fano’s Inequality for Characterizing Model Susceptibility to Membership Inference Attacks
    • [cs.LG]An analysis of deep neural networks for predicting trends in time series data
    • [cs.LG]An early prediction of covid-19 associated hospitalization surge using deep learning approach
    • [cs.LG]Analysis of Generalizability of Deep Neural Networks Based on the Complexity of Decision Boundary
    • [cs.LG]Byzantine-Robust Variance-Reduced Federated Learning over Distributed Non-i.i.d. Data
    • [cs.LG]Captum: A unified and generic model interpretability library for PyTorch
    • [cs.LG]Certifying Confidence via Randomized Smoothing
    • [cs.LG]Comparison Lift: Bandit-based Experimentation System for Online Advertising
    • [cs.LG]Decoupling Representation Learning from Reinforcement Learning
    • [cs.LG]Deep Collective Learning: Learning Optimal Inputs and Weights Jointly in Deep Neural Networks
    • [cs.LG]Dimension Reduction in Contextual Online Learning via Nonparametric Variable Selection
    • [cs.LG]Discond-VAE: Disentangling Continuous Factors from the Discrete
    • [cs.LG]Distilled One-Shot Federated Learning
    • [cs.LG]Distributional Generalization: A New Kind of Generalization
    • [cs.LG]ExGAN: Adversarial Generation of Extreme Samples
    • [cs.LG]FLAME: Differentially Private Federated Learning in the Shuffle Model
    • [cs.LG]Few-Shot Unsupervised Continual Learning through Meta-Examples
    • [cs.LG]Finding Effective Security Strategies through Reinforcement Learning and Self-Play
    • [cs.LG]GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning
    • [cs.LG]Holistic Filter Pruning for Efficient Deep Neural Networks
    • [cs.LG]Improving Delay Based Reservoir Computing via Eigenvalue Analysis
    • [cs.LG]LAAT: Locally Aligned Ant Technique for detecting manifolds of varying density
    • [cs.LG]Large Norms of CNN Layers Do Not Hurt Adversarial Robustness
    • [cs.LG]Layer-stacked Attention for Heterogeneous Network Embedding
    • [cs.LG]MStream: Fast Streaming Multi-Aspect Group Anomaly Detection
    • [cs.LG]Matrix Profile XXII: Exact Discovery of Time Series Motifs under DTW
    • [cs.LG]MultAV: Multiplicative Adversarial Videos
    • [cs.LG]Multi-objective dynamic programming with limited precision
    • [cs.LG]Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation
    • [cs.LG]Neural CDEs for Long Time Series via the Log-ODE Method
    • [cs.LG]Real-Time Streaming Anomaly Detection in Dynamic Graphs
    • [cs.LG]Spectral Flow on the Manifold of SPD Matrices for Multimodal Data Processing
    • [cs.LG]Transfer Learning in Deep Reinforcement Learning: A Survey
    • [cs.LG]Type-augmented Relation Prediction in Knowledge Graphs
    • [cs.LG]Utilizing remote sensing data in forest inventory sampling via Bayesian optimization
    • [cs.MA]Learnable Strategies for Bilateral Agent Negotiation over Multiple Issues
    • [cs.MM]Temporally Guided Music-to-Body-Movement Generation
    • [cs.NE]Evolutionary Selective Imitation: Interpretable Agents by Imitation Learning Without a Demonstrator
    • [cs.RO]Can ROS be used securely in industry? Red teaming ROS-Industrial
    • [cs.RO]Elastica: A compliant mechanics environment for soft robotic control
    • [cs.RO]POMP: Pomcp-based Online Motion Planning for active visual search in indoor environments
    • [cs.RO]SwarmCCO: Probabilistic Reactive Collision Avoidance for Quadrotor Swarms under Uncertainty
    • [cs.RO]Voice Controlled Upper Body Exoskeleton: A Development For Industrial Application
    • [cs.SE]GraphCodeBERT: Pre-training Code Representations with Data Flow
    • [cs.SE]Serverless Applications: Why, When, and How?
    • [cs.SI]Detección de comunidades en redes: Algoritmos y aplicaciones
    • [cs.SI]Does “Fans Economy” Work for Chinese Pop Music Industry?
    • [cs.SI]Hiding in Plain Sight: A Measurement and Analysis of Kids’ Exposure to Malicious URLs on YouTube
    • [cs.SI]Impact and dynamics of hate and counter speech online
    • [cs.SI]Moving with the Times: Investigating the Alt-Right Network Gab with Temporal Interaction Graphs
    • [cs.SI]Social network analytics for supervised fraud detection in insurance
    • [cs.SI]Understanding Effects of Editing Tweets for News Sharing by Media Accounts through a Causal Inference Framework
    • [eess.IV]Image Separation with Side Information: A Connected Auto-Encoders Based Approach
    • [eess.IV]Noise-Aware Merging of High Dynamic Range Image Stacks without Camera Calibration
    • [eess.IV]Review: Deep Learning in Electron Microscopy
    • [eess.IV]Single Frame Deblurring with Laplacian Filters
    • [eess.SP]Improving in-home appliance identification using fuzzy-neighbors-preserving analysis based QR-decomposition
    • [eess.SP]Knowledge-Assisted Deep Reinforcement Learning in 5G Scheduler Design: From Theoretical Framework to Implementation
    • [eess.SP]Probabilistic Value-Deviation-Bounded Source-Dependent Bit-Level Channel Adaptation for Approximate Communication
    • [math.RA]Tropical time series, iterated-sums signatures and quasisymmetric functions
    • [math.ST]On mixtures of extremal copulas and attainability of concordance signatures
    • [math.ST]Ridge Regression Revisited: Debiasing, Thresholding and Bootstrap
    • [nlin.AO]Uncertainty Quantification of Multi-Scale Resilience in Nonlinear Complex Networks using Arbitrary Polynomial Chaos
    • [physics.app-ph]Suction-based Soft Robotic Gripping of Rough and Irregular Parts
    • [physics.med-ph]Model-based approach for analyzing prevalence of nuclear cataracts in elderly residents
    • [physics.soc-ph]Feature Engineering for Data-driven Traffic State Forecast in Urban Road Networks
    • [q-bio.MN]Identification of Biomarkers Controlling Cell Fate In Blood Cell Development
    • [q-bio.NC]Attracting Sets in Perceptual Networks
    • [q-bio.NC]Computational models in Electroencephalography
    • [q-bio.NC]EventProp: Backpropagation for Exact Gradients in Spiking Neural Networks
    • [quant-ph]Improved Quantum Boosting
    • [stat.AP]A Time To Event Framework For Multi-touch Attribution
    • [stat.AP]Assessing the contagiousness of mass shootings with nonparametric Hawkes processes
    • [stat.AP]Bayesian Matrix Completion for Hypothesis Testing
    • [stat.AP]Discovering causal factors of drought in Ethiopia
    • [stat.AP]Functional data analysis: An application to COVID-19 data in the United States
    • [stat.AP]High-resolution Spatio-temporal Model for County-level COVID-19 Activity in the U.S
    • [stat.AP]Network Analysis of Orchestral Concert Programming
    • [stat.ME]A Survival Mediation Model with Bayesian Model Averaging
    • [stat.ME]A semi-analytical solution to the maximum likelihood fit of Poisson data to a linear model using the Cash statistic
    • [stat.ME]Characteristic and Necessary Minutiae in Fingerprints
    • [stat.ME]Computationally Efficient Deep Bayesian Unit-Level Modeling of Survey Data under Informative Sampling for Small Area Estimation
    • [stat.ME]Random autoregressive models: A structured overview
    • [stat.ME]Statistical Inference for High-Dimensional Vector Autoregression with Measurement Error
    • [stat.ML]A Principle of Least Action for the Training of Neural Networks
    • [stat.ML]Automatic Forecasting using Gaussian Processes
    • [stat.ML]Complex-Valued vs. Real-Valued Neural Networks for Classification Perspectives: An Example on Non-Circular Data
    • [stat.ML]Graph representation forecasting of patient’s medical conditions: towards a digital twin
    • [stat.ML]Indoor Environment Data Time-Series Reconstruction Using Autoencoder Neural Networks
    • [stat.ML]Integration of AI and mechanistic modeling in generative adversarial networks for stochastic inverse problems
    • [stat.ML]Mean-Variance Analysis in Bayesian Optimization under Uncertainty
    • [stat.ML]Multidimensional Scaling, Sammon Mapping, and Isomap: Tutorial and Survey

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

    • [cs.AI]Causal Discovery for Causal Bandits utilizing Separating Sets
    Arnoud A. W. M. de Kroon, Danielle Belgrave, Joris M. Mooij
    http://arxiv.org/abs/2009.07916v1

    • [cs.AI]Competitive Ratios for Online Multi-capacity Ridesharing
    Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet
    http://arxiv.org/abs/2009.07925v1

    • [cs.AI]Competitiveness of MAP-Elites against Proximal Policy Optimization on locomotion tasks in deterministic simulations
    Szymon Brych, Antoine Cully
    http://arxiv.org/abs/2009.08438v1

    • [cs.AI]Detecting Cross-Modal Inconsistency to Defend Against Neural Fake News
    Reuben Tan, Kate Saenko, Bryan A. Plummer
    http://arxiv.org/abs/2009.07698v2

    • [cs.AI]Large-Scale Intelligent Microservices
    Mark Hamilton, Nick Gonsalves, Christina Lee, Anand Raman, Brendan Walsh, Siddhartha Prasad, Dalitso Banda, Lucy Zhang, Lei Zhang, William T. Freeman
    http://arxiv.org/abs/2009.08044v1

    • [cs.AI]Modeling human visual search: A combined Bayesian searcher and saliency map approach for eye movement guidance in natural scenes
    M. Sclar, G. Bujia, S. Vita, G. Solovey, J. E. Kamienkowski
    http://arxiv.org/abs/2009.08373v1

    • [cs.AI]Optimal Sepsis Patient Treatment using Human-in-the-loop Artificial Intelligence
    Akash Gupta, Michael T. Lash, Senthil K. Nachimuthu
    http://arxiv.org/abs/2009.07963v1

    • [cs.AI]RDF2Vec Light — A Lightweight Approach for Knowledge Graph Embeddings
    Jan Portisch, Michael Hladik, Heiko Paulheim
    http://arxiv.org/abs/2009.07659v2

    • [cs.AI]Strategy Proof Mechanisms for Facility Location at Limited Locations
    Toby Walsh
    http://arxiv.org/abs/2009.07982v1

    • [cs.AI]Strategy Proof Mechanisms for Facility Location in Euclidean and Manhattan Space
    Toby Walsh
    http://arxiv.org/abs/2009.07983v1

    • [cs.AI]Strategy Proof Mechanisms for Facility Location with Capacity Limits
    Toby Walsh
    http://arxiv.org/abs/2009.07986v1

    • [cs.AI]The relationship between dynamic programming and active inference: the discrete, finite-horizon case
    Lancelot Da Costa, Noor Sajid, Thomas Parr, Karl Friston, Ryan Smith
    http://arxiv.org/abs/2009.08111v1

    • [cs.AI]Urban Traffic Flow Forecast Based on FastGCRNN
    Ya Zhang, Mingming Lu, Haifeng Li
    http://arxiv.org/abs/2009.08087v1

    • [cs.CL]A Computational Approach to Understanding Empathy Expressed in Text-Based Mental Health Support
    Ashish Sharma, Adam S. Miner, David C. Atkins, Tim Althoff
    http://arxiv.org/abs/2009.08441v1

    • [cs.CL]A Deep Learning Approach to Geographical Candidate Selection through Toponym Matching
    Mariona Coll Ardanuy, Kasra Hosseini, Katherine McDonough, Amrey Krause, Daniel van Strien, Federico Nanni
    http://arxiv.org/abs/2009.08114v1

    • [cs.CL]A Probabilistic End-To-End Task-Oriented Dialog Model with Latent Belief States towards Semi-Supervised Learning
    Yichi Zhang, Zhijian Ou, Huixin Wang, Junlan Feng
    http://arxiv.org/abs/2009.08115v1

    • [cs.CL]Code-switching pre-training for neural machine translation
    Zhen Yang, Bojie Hu, Ambyera Han, Shen Huang, Qi Ju
    http://arxiv.org/abs/2009.08088v1

    • [cs.CL]Compositional and Lexical Semantics in RoBERTa, BERT and DistilBERT: A Case Study on CoQA
    Ieva Staliūnaitė, Ignacio Iacobacci
    http://arxiv.org/abs/2009.08257v1

    • [cs.CL]DSC IIT-ISM at SemEval-2020 Task 6: Boosting BERT with Dependencies for Definition Extraction
    Aadarsh Singh, Priyanshu Kumar, Aman Sinha
    http://arxiv.org/abs/2009.08180v1

    • [cs.CL]Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning
    Bingbing Li, Zhenglun Kong, Tianyun Zhang, Ji Li, Zhengang Li, Hang Liu, Caiwen Ding
    http://arxiv.org/abs/2009.08065v1

    • [cs.CL]End-to-End Neural Event Coreference Resolution
    Yaojie Lu, Hongyu Lin, Jialong Tang, Xianpei Han, Le Sun
    http://arxiv.org/abs/2009.08153v1

    • [cs.CL]Evaluating Interactive Summarization: an Expansion-Based Framework
    Ori Shapira, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Yael Amsterdamer, Ido Dagan
    http://arxiv.org/abs/2009.08380v1

    • [cs.CL]Fast and Accurate Sequence Labeling with Approximate Inference Network
    Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu
    http://arxiv.org/abs/2009.08229v1

    • [cs.CL]FewJoint: A Few-shot Learning Benchmark for Joint Language Understanding
    Yutai Hou, Jiafeng Mao, Yongkui Lai, Cheng Chen, Wanxiang Che, Zhigang Chen, Ting Liu
    http://arxiv.org/abs/2009.08138v1

    • [cs.CL]Generating Label Cohesive and Well-Formed Adversarial Claims
    Pepa Atanasova, Dustin Wright, Isabelle Augenstein
    http://arxiv.org/abs/2009.08205v1

    • [cs.CL]Grounded Adaptation for Zero-shot Executable Semantic Parsing
    Victor Zhong, Mike Lewis, Sida I. Wang, Luke Zettlemoyer
    http://arxiv.org/abs/2009.07396v2

    • [cs.CL]How to marry a star: probabilistic constraints for meaning in context
    Katrin Erk, Aurelie Herbelot
    http://arxiv.org/abs/2009.07936v1

    • [cs.CL]ISCAS at SemEval-2020 Task 5: Pre-trained Transformers for Counterfactual Statement Modeling
    Yaojie Lu, Annan Li, Hongyu Lin, Xianpei Han, Le Sun
    http://arxiv.org/abs/2009.08171v1

    • [cs.CL]Modeling Task Effects on Meaning Representation in the Brain via Zero-Shot MEG Prediction
    Mariya Toneva, Otilia Stretcu, Barnabas Poczos, Leila Wehbe, Tom M. Mitchell
    http://arxiv.org/abs/2009.08424v1

    • [cs.CL]More Embeddings, Better Sequence Labelers?
    Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu
    http://arxiv.org/abs/2009.08330v1

    • [cs.CL]Multi-modal Summarization for Video-containing Documents
    Xiyan Fu, Jun Wang, Zhenglu Yang
    http://arxiv.org/abs/2009.08018v1

    • [cs.CL]Multi^2OIE: Multilingual Open Information Extraction based on Multi-Head Attention with BERT
    Youngbin Ro, Yukyung Lee, Pilsung Kang
    http://arxiv.org/abs/2009.08128v1

    • [cs.CL]On the Transferability of Minimal Prediction Preserving Inputs in Question Answering
    Shayne Longpre, Yi Lu, Christopher DuBois
    http://arxiv.org/abs/2009.08070v1

    • [cs.CL]Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks
    Trapit Bansal, Rishikesh Jha, Tsendsuren Munkhdalai, Andrew McCallum
    http://arxiv.org/abs/2009.08445v1

    • [cs.CL]Self-supervised pre-training and contrastive representation learning for multiple-choice video QA
    Seonhoon Kim, Seohyeong Jeong, Eunbyul Kim, Inho Kang, Nojun Kwak
    http://arxiv.org/abs/2009.08043v1

    • [cs.CL]State-Machine-Based Dialogue Agents with Few-Shot Contextual Semantic Parsers
    Giovanni Campagna, Sina J. Semnani, Ryan Kearns, Lucas Jun Koba Sato, Monica S. Lam
    http://arxiv.org/abs/2009.07968v1

    • [cs.CL]Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis
    Xiaoyu Xing, Zhijing Jin, Di Jin, Bingning Wang, Qi Zhang, Xuanjing Huang
    http://arxiv.org/abs/2009.07964v1

    • [cs.CL]Towards Fully 8-bit Integer Inference for the Transformer Model
    Ye Lin, Yanyang Li, Tengbo Liu, Tong Xiao, Tongran Liu, Jingbo Zhu
    http://arxiv.org/abs/2009.08034v1

    • [cs.CL]What if we had no Wikipedia? Domain-independent Term Extraction from a Large News Corpus
    Yonatan Bilu, Shai Gretz, Edo Cohen, Noam Slonim
    http://arxiv.org/abs/2009.08240v1

    • [cs.CR](Un)clear and (In)conspicuous: The right to opt-out of sale under CCPA
    Sean O’Connor, Ryan Nurwono, Eleanor Birrell
    http://arxiv.org/abs/2009.07884v1

    • [cs.CR]Location-based Behavioral Authentication Using GPS Distance Coherence
    Tran Phuong Thao
    http://arxiv.org/abs/2009.08025v1

    • [cs.CR]Post Quantum Secure Command and Control of Mobile Agents : Inserting quantum-resistant encryption schemes in the Secure Robot Operating System
    Richa Varma, Chris Melville, Claudio Pinello, Tuhin Sahai
    http://arxiv.org/abs/2009.07937v1

    • [cs.CV]A Linked Aggregate Code for Processing Faces (Revised Version)
    Michael Lyons, Kazunori Morikawa
    http://arxiv.org/abs/2009.08281v1

    • [cs.CV]A Multimodal Memes Classification: A Survey and Open Research Issues
    Tariq Habib Afridi, Aftab Alam, Muhammad Numan Khan, Jawad Khan, Young-Koo Lee
    http://arxiv.org/abs/2009.08395v1

    • [cs.CV]AAG: Self-Supervised Representation Learning by Auxiliary Augmentation with GNT-Xent Loss
    Yanlun Tu, Jianxing Feng, Yang Yang
    http://arxiv.org/abs/2009.07994v1

    • [cs.CV]Adversarial Image Composition with Auxiliary Illumination
    Fangneng Zhan, Shijian Lu, Changgong Zhang, Feiying Ma, Xuansong Xie
    http://arxiv.org/abs/2009.08255v1

    • [cs.CV]An Algorithm to Attack Neural Network Encoder-based Out-Of-Distribution Sample Detector
    Liang Liang, Linhai Ma, Linchen Qian, Jiasong Chen
    http://arxiv.org/abs/2009.08016v1

    • [cs.CV]Arbitrary Video Style Transfer via Multi-Channel Correlation
    Yingying Deng, Fan Tang, Weiming Dong, Haibin Huang, Chongyang Ma, Changsheng Xu
    http://arxiv.org/abs/2009.08003v1

    • [cs.CV]Back to Event Basics: Self-Supervised Learning of Image Reconstruction for Event Cameras via Photometric Constancy
    F. Paredes-Vallés, G. C. H. E. de Croon
    http://arxiv.org/abs/2009.08283v1

    • [cs.CV]CSI2Image: Image Reconstruction from Channel State Information Using Generative Adversarial Networks
    Sorachi Kato, Takeru Fukushima, Tomoki Murakami, Hirantha Abeysekera, Yusuke Iwasaki, Takuya Fujihashi, Takashi Watanabe, Shunsuke Saruwatari
    http://arxiv.org/abs/2009.07100v2

    • [cs.CV]Collaborative Training between Region Proposal Localization and Classi?cation for Domain Adaptive Object Detection
    Ganlong Zhao, Guanbin Li, Ruijia Xu, Liang Lin
    http://arxiv.org/abs/2009.08119v1

    • [cs.CV]Counterfactual Generation and Fairness Evaluation Using Adversarially Learned Inference
    Saloni Dash, Amit Sharma
    http://arxiv.org/abs/2009.08270v1

    • [cs.CV]Crossing You in Style: Cross-modal Style Transfer from Music to Visual Arts
    Cheng-Che Lee, Wan-Yi Lin, Yen-Ting Shih, Pei-Yi Patricia Kuo, Li Su
    http://arxiv.org/abs/2009.08083v1

    • [cs.CV]DLBCL-Morph: Morphological features computed using deep learning for an annotated digital DLBCL image set
    Damir Vrabac, Akshay Smit, Rebecca Rojansky, Yasodha Natkunam, Ranjana H. Advani, Andrew Y. Ng, Sebastian Fernandez-Pol, Pranav Rajpurkar
    http://arxiv.org/abs/2009.08123v1

    • [cs.CV]DanceIt: Music-inspired Dancing Video Synthesis
    Xin Guo, Jia Li, Yifan Zhao
    http://arxiv.org/abs/2009.08027v1

    • [cs.CV]Decision-based Universal Adversarial Attack
    Jing Wu, Mingyi Zhou, Shuaicheng Liu, Yipeng Liu, Ce Zhu
    http://arxiv.org/abs/2009.07024v2

    • [cs.CV]Deep Learning Approaches to Classification of Production Technology for 19th Century Books
    Chanjong Im, Junaid Ghauri, John Rothman, Thomas Mandl
    http://arxiv.org/abs/2009.08219v1

    • [cs.CV]Deep Momentum Uncertainty Hashing
    Chaoyou Fu, Guoli Wang, Xiang Wu, Qian Zhang, Ran He
    http://arxiv.org/abs/2009.08012v1

    • [cs.CV]Deploying machine learning to assist digital humanitarians: making image annotation in OpenStreetMap more efficient
    John E. Vargas-Muñoz, Devis Tuia, Alexandre X. Falcão
    http://arxiv.org/abs/2009.08188v1

    • [cs.CV]Dynamic Edge Weights in Graph Neural Networks for 3D Object Detection
    Sumesh Thakur, Jiju Peethambaran
    http://arxiv.org/abs/2009.08253v1

    • [cs.CV]Dynamic Regions Graph Neural Networks for Spatio-Temporal Reasoning
    Iulia Duta, Andrei Nicolicioiu
    http://arxiv.org/abs/2009.08427v1

    • [cs.CV]Face Mask Detection using Transfer Learning of InceptionV3
    G. Jignesh Chowdary, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
    http://arxiv.org/abs/2009.08369v1

    • [cs.CV]High-precision target positioning system for unmanned vehicles based on binocular vision
    Xianqi He, Zirui Li, Xufeng Yin, Jianwei Gong, Cheng Gong
    http://arxiv.org/abs/2009.08040v1

    • [cs.CV]Image Retrieval for Structure-from-Motion via Graph Convolutional Network
    Shen Yan, Yang Pen, Shiming Lai, Yu Liu, Maojun Zhang
    http://arxiv.org/abs/2009.08049v1

    • [cs.CV]LDNet: End-to-End Lane Detection Approach usinga Dynamic Vision Sensor
    Farzeen Munir, Shoaib Azam, Moongu Jeon
    http://arxiv.org/abs/2009.08020v1

    • [cs.CV]Label Smoothing and Adversarial Robustness
    Chaohao Fu, Hongbin Chen, Na Ruan, Weijia Jia
    http://arxiv.org/abs/2009.08233v1

    • [cs.CV]Learning a Deep Part-based Representation by Preserving Data Distribution
    Anyong Qin, Zhaowei Shang, Zhuolin Tan, Taiping Zhang, Yuan Yan Tang
    http://arxiv.org/abs/2009.08246v1

    • [cs.CV]Learning to Identify Physical Parameters from Video Using Differentiable Physics
    Rama Krishna Kandukuri, Jan Achterhold, Michael Möller, Jörg Stückler
    http://arxiv.org/abs/2009.08292v1

    • [cs.CV]Low-Rank Matrix Recovery from Noisy via an MDL Framework-based Atomic Norm
    Anyong Qin, Lina Xian, Yongliang Yang, Taiping Zhang, Yuan Yan Tang
    http://arxiv.org/abs/2009.08297v1

    • [cs.CV]MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks
    Zhiqiang Shen, Marios Savvides
    http://arxiv.org/abs/2009.08453v1

    • [cs.CV]Microtubule Tracking in Electron Microscopy Volumes
    Nils Eckstein, Julia Buhmann, Matthew Cook, Jan Funke
    http://arxiv.org/abs/2009.08371v1

    • [cs.CV]MoPro: Webly Supervised Learning with Momentum Prototypes
    Junnan Li, Caiming Xiong, Steven C. H. Hoi
    http://arxiv.org/abs/2009.07995v1

    • [cs.CV]Multi-Stage CNN Architecture for Face Mask Detection
    Amit Chavda, Jason Dsouza, Sumeet Badgujar, Ankit Damani
    http://arxiv.org/abs/2009.07627v2

    • [cs.CV]Multiple Exemplars-based Hallucinationfor Face Super-resolution and Editing
    Kaili Wang, Jose Oramas, Tinne Tuytelaars
    http://arxiv.org/abs/2009.07827v2

    • [cs.CV]Noisy Concurrent Training for Efficient Learning under Label Noise
    Fahad Sarfraz, Elahe Arani, Bahram Zonooz
    http://arxiv.org/abs/2009.08325v1

    • [cs.CV]Novel View Synthesis from Single Images via Point Cloud Transformation
    Hoang-An Le, Thomas Mensink, Partha Das, Theo Gevers
    http://arxiv.org/abs/2009.08321v1

    • [cs.CV]Online Alternate Generator against Adversarial Attacks
    Haofeng Li, Yirui Zeng, Guanbin Li, Liang Lin, Yizhou Yu
    http://arxiv.org/abs/2009.08110v1

    • [cs.CV]Parallax Attention for Unsupervised Stereo Correspondence Learning
    Longguang Wang, Yulan Guo, Yingqian Wang, Zhengfa Liang, Zaiping Lin, Jungang Yang, Wei An
    http://arxiv.org/abs/2009.08250v1

    • [cs.CV]Radar-Camera Sensor Fusion for Joint Object Detection and Distance Estimation in Autonomous Vehicles
    Ramin Nabati, Hairong Qi
    http://arxiv.org/abs/2009.08428v1

    • [cs.CV]S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning
    Karsten Roth, Timo Milbich, Björn Ommer, Joseph Paul Cohen, Marzyeh Ghassemi
    http://arxiv.org/abs/2009.08348v1

    • [cs.CV]SLGAN: Style- and Latent-guided Generative Adversarial Network for Desirable Makeup Transfer and Removal
    Daichi Horita, Kiyoharu Aizawa
    http://arxiv.org/abs/2009.07557v2

    • [cs.CV]Skeletonization and Reconstruction based on Graph Morphological Transformations
    Hossein Memarzadeh Sharifipour, Bardia Yousefi, Xavier P. V. Maldague
    http://arxiv.org/abs/2009.07970v1

    • [cs.CV]Using Sensory Time-cue to enable Unsupervised Multimodal Meta-learning
    Qiong Liu, Yanxia Zhang
    http://arxiv.org/abs/2009.07879v1

    • [cs.CV]Vax-a-Net: Training-time Defence Against Adversarial Patch Attacks
    T. Gittings, S. Schneider, J. Collomosse
    http://arxiv.org/abs/2009.08194v1

    • [cs.CV]Video based real-time positional tracker
    David Albarracín, Jesús Hormigo
    http://arxiv.org/abs/2009.08276v1

    • [cs.CV]Word Segmentation from Unconstrained Handwritten Bangla Document Images using Distance Transform
    Pawan Kumar Singh, Shubham Sinha, Sagnik Pal Chowdhury, Ram Sarkar, Mita Nasipuri
    http://arxiv.org/abs/2009.08037v1

    • [cs.CY]Building power consumption datasets: Survey, taxonomy and future directions
    Yassine Himeur, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira
    http://arxiv.org/abs/2009.08192v1

    • [cs.CY]Efficient multi-descriptor fusion for non-intrusive appliance recognition
    Yassine Himeur, Abullah Alsalemi, Faycal Bensaali, Abbes amira
    http://arxiv.org/abs/2009.08210v1

    • [cs.CY]Planting trees at the right places: Recommending suitable sites for growing trees using algorithm fusion
    Pushpendra Rana, Lav R Varshney
    http://arxiv.org/abs/2009.08002v1

    • [cs.CY]Population Mapping in Informal Settlements with High-Resolution Satellite Imagery and Equitable Ground-Truth
    Konstantin Klemmer, Godwin Yeboah, João Porto de Albuquerque, Stephen A Jarvis
    http://arxiv.org/abs/2009.08410v1

    • [cs.DC]A New Perspective of Graph Data and A Generic and Efficient Method for Large Scale Graph Data Traversal
    Chenglong Zhang
    http://arxiv.org/abs/2009.07463v2

    • [cs.DC]Exploration of Fine-Grained Parallelism for Load Balancing Eager K-truss on GPU and CPU
    Mark Blanco, Tze Meng Low, Kyungjoo Kim
    http://arxiv.org/abs/2009.07929v1

    • [cs.DC]Extending SLURM for Dynamic Resource-Aware Adaptive Batch Scheduling
    Mohak Chadha, Jophin John, Michael Gerndt
    http://arxiv.org/abs/2009.08289v1

    • [cs.DC]Finding Subgraphs in Highly Dynamic Networks
    Keren Censor-Hillel, Victor I. Kolobov, Gregory Schwartzman
    http://arxiv.org/abs/2009.08208v1

    • [cs.DC]WarpCore: A Library for fast Hash Tables on GPUs
    Daniel Jünger, Robin Kobus, André Müller, Christian Hundt, Kai Xu, Weiguo Liu, Bertil Schmidt
    http://arxiv.org/abs/2009.07914v1

    • [cs.DS]Algorithms and Complexity for Variants of Covariates Fine Balance
    Dorit S. Hochbaum, Asaf Levin, Xu Rao
    http://arxiv.org/abs/2009.08172v1

    • [cs.DS]Coordinate Methods for Matrix Games
    Yair Carmon, Yujia Jin, Aaron Sidford, Kevin Tian
    http://arxiv.org/abs/2009.08447v1

    • [cs.GR]ShapeAssembly: Learning to Generate Programs for 3D Shape Structure Synthesis
    R. Kenny Jones, Theresa Barton, Xianghao Xu, Kai Wang, Ellen Jiang, Paul Guerrero, Niloy J. Mitra, Daniel Ritchie
    http://arxiv.org/abs/2009.08026v1

    • [cs.IR]Learning to Personalize for Web Search Sessions
    Saad Aloteibi, Stephen Clark
    http://arxiv.org/abs/2009.08206v1

    • [cs.IR]Online Algorithms for Estimating Change Rates of Web Pages
    Konstantin Avrachenkov, Kishor Patil, Gugan Thoppe
    http://arxiv.org/abs/2009.08142v1

    • [cs.IT]Berrut Approximated Coded Computing: Straggler Resistance Beyond Polynomial Computing
    Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali
    http://arxiv.org/abs/2009.08327v1

    • [cs.IT]Binarized Johnson-Lindenstrauss embeddings
    Sjoerd Dirksen, Alexander Stollenwerk
    http://arxiv.org/abs/2009.08320v1

    • [cs.IT]Caching in Networks without Regret
    Debjit Paria, Krishnakumar, Abhishek Sinha
    http://arxiv.org/abs/2009.08228v1

    • [cs.IT]Coordinate transitivity of extended perfect codes and their SQS
    I. Yu. Mogilnykh, F. I. Solov’eva
    http://arxiv.org/abs/2009.08191v1

    • [cs.IT]Partial MDS Codes with Regeneration
    Lukas Holzbaur, Sven Puchinger, Eitan Yaakobi, Antonia Wachter-Zeh
    http://arxiv.org/abs/2009.07643v2

    • [cs.IT]Reconfigurable Intelligent Surface (RIS) Assisted Wireless Coverage Extension: RIS Orientation and Location Optimization
    Shuhao Zeng, Hongliang Zhang, Boya Di, Zhu Han, Lingyang Song
    http://arxiv.org/abs/2009.08038v1

    • [cs.LG]‘Less Than One’-Shot Learning: Learning N Classes From M<N Samples
    Ilia Sucholutsky, Matthias Schonlau
    http://arxiv.org/abs/2009.08449v1

    • [cs.LG]A Network-Based High-Level Data Classification Algorithm Using Betweenness Centrality
    Esteban Vilca, Liang Zhao
    http://arxiv.org/abs/2009.07971v1

    • [cs.LG]An Extension of Fano’s Inequality for Characterizing Model Susceptibility to Membership Inference Attacks
    Sumit Kumar Jha, Susmit Jha, Rickard Ewetz, Sunny Raj, Alvaro Velasquez, Laura L. Pullum, Ananthram Swami
    http://arxiv.org/abs/2009.08097v1

    • [cs.LG]An analysis of deep neural networks for predicting trends in time series data
    Kouame Hermann Kouassi, Deshendran Moodley
    http://arxiv.org/abs/2009.07943v1

    • [cs.LG]An early prediction of covid-19 associated hospitalization surge using deep learning approach
    Yuqi Meng, Ying Zhao, Zhixiang Li
    http://arxiv.org/abs/2009.08093v1

    • [cs.LG]Analysis of Generalizability of Deep Neural Networks Based on the Complexity of Decision Boundary
    Shuyue Guan, Murray Loew
    http://arxiv.org/abs/2009.07974v1

    • [cs.LG]Byzantine-Robust Variance-Reduced Federated Learning over Distributed Non-i.i.d. Data
    Jie Peng, Zhaoxian Wu, Qing Ling
    http://arxiv.org/abs/2009.08161v1

    • [cs.LG]Captum: A unified and generic model interpretability library for PyTorch
    Narine Kokhlikyan, Vivek Miglani, Miguel Martin, Edward Wang, Bilal Alsallakh, Jonathan Reynolds, Alexander Melnikov, Natalia Kliushkina, Carlos Araya, Siqi Yan, Orion Reblitz-Richardson
    http://arxiv.org/abs/2009.07896v1

    • [cs.LG]Certifying Confidence via Randomized Smoothing
    Aounon Kumar, Alexander Levine, Soheil Feizi, Tom Goldstein
    http://arxiv.org/abs/2009.08061v1

    • [cs.LG]Comparison Lift: Bandit-based Experimentation System for Online Advertising
    Tong Geng, Xiliang Lin, Harikesh S. Nair, Jun Hao, Bin Xiang, Shurui Fan
    http://arxiv.org/abs/2009.07899v1

    • [cs.LG]Decoupling Representation Learning from Reinforcement Learning
    Adam Stooke, Kimin Lee, Pieter Abbeel, Michael Laskin
    http://arxiv.org/abs/2009.08319v1

    • [cs.LG]Deep Collective Learning: Learning Optimal Inputs and Weights Jointly in Deep Neural Networks
    Xiang Deng, Zhongfei, Zhang
    http://arxiv.org/abs/2009.07988v1

    • [cs.LG]Dimension Reduction in Contextual Online Learning via Nonparametric Variable Selection
    Wenhao Li, Ningyuan Chen, L. Jeff Hong
    http://arxiv.org/abs/2009.08265v1

    • [cs.LG]Discond-VAE: Disentangling Continuous Factors from the Discrete
    Jaewoong Choi, Geonho Hwang, Myungjoo Kang
    http://arxiv.org/abs/2009.08039v1

    • [cs.LG]Distilled One-Shot Federated Learning
    Yanlin Zhou, George Pu, Xiyao Ma, Xiaolin Li, Dapeng Wu
    http://arxiv.org/abs/2009.07999v1

    • [cs.LG]Distributional Generalization: A New Kind of Generalization
    Preetum Nakkiran, Yamini Bansal
    http://arxiv.org/abs/2009.08092v1

    • [cs.LG]ExGAN: Adversarial Generation of Extreme Samples
    Siddharth Bhatia, Arjit Jain, Bryan Hooi
    http://arxiv.org/abs/2009.08454v1

    • [cs.LG]FLAME: Differentially Private Federated Learning in the Shuffle Model
    Ruixuan Liu, Yang Cao, Hong Chen, Ruoyang Guo, Masatoshi Yoshikawa
    http://arxiv.org/abs/2009.08063v1

    • [cs.LG]Few-Shot Unsupervised Continual Learning through Meta-Examples
    Alessia Bertugli, Stefano Vincenzi, Simone Calderara, Andrea Passerini
    http://arxiv.org/abs/2009.08107v1

    • [cs.LG]Finding Effective Security Strategies through Reinforcement Learning and Self-Play
    Kim Hammar, Rolf Stadler
    http://arxiv.org/abs/2009.08120v1

    • [cs.LG]GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning
    Chang Liu, Huichu Zhang, Weinan Zhang, Guanjie Zheng, Yong Yu
    http://arxiv.org/abs/2009.08052v1

    • [cs.LG]Holistic Filter Pruning for Efficient Deep Neural Networks
    Lukas Enderich, Fabian Timm, Wolfram Burgard
    http://arxiv.org/abs/2009.08169v1

    • [cs.LG]Improving Delay Based Reservoir Computing via Eigenvalue Analysis
    Felix Köster, Serhiy Yanchuk, Kathy Lüdge
    http://arxiv.org/abs/2009.07928v1

    • [cs.LG]LAAT: Locally Aligned Ant Technique for detecting manifolds of varying density
    Abolfazl Taghribi, Kerstin Bunte, Rory Smith, Jihye Shin, Michele Mastropietro, Reynier F. Peletier, Peter Tino
    http://arxiv.org/abs/2009.08326v1

    • [cs.LG]Large Norms of CNN Layers Do Not Hurt Adversarial Robustness
    Youwei Liang, Dong Huang
    http://arxiv.org/abs/2009.08435v1

    • [cs.LG]Layer-stacked Attention for Heterogeneous Network Embedding
    Nhat Tran, Jean Gao
    http://arxiv.org/abs/2009.08072v1

    • [cs.LG]MStream: Fast Streaming Multi-Aspect Group Anomaly Detection
    Siddharth Bhatia, Arjit Jain, Pan Li, Ritesh Kumar, Bryan Hooi
    http://arxiv.org/abs/2009.08451v1

    • [cs.LG]Matrix Profile XXII: Exact Discovery of Time Series Motifs under DTW
    Sara Alaee, Kaveh Kamgar, Eamonn Keogh
    http://arxiv.org/abs/2009.07907v1

    • [cs.LG]MultAV: Multiplicative Adversarial Videos
    Shao-Yuan Lo, Vishal M. Patel
    http://arxiv.org/abs/2009.08058v1

    • [cs.LG]Multi-objective dynamic programming with limited precision
    L. Mandow, J. L. Pérez de la Cruz, N. Pozas
    http://arxiv.org/abs/2009.08198v1

    • [cs.LG]Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation
    Wenhao Ding, Baiming Chen, Bo Li, Kim Ji Eun, Ding Zhao
    http://arxiv.org/abs/2009.08311v1

    • [cs.LG]Neural CDEs for Long Time Series via the Log-ODE Method
    James Morrill, Patrick Kidger, Cristopher Salvi, James Foster, Terry Lyons
    http://arxiv.org/abs/2009.08295v1

    • [cs.LG]Real-Time Streaming Anomaly Detection in Dynamic Graphs
    Siddharth Bhatia, Rui Liu, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos
    http://arxiv.org/abs/2009.08452v1

    • [cs.LG]Spectral Flow on the Manifold of SPD Matrices for Multimodal Data Processing
    Ori Katz, Roy R. Lederman, Ronen Talmon
    http://arxiv.org/abs/2009.08062v1

    • [cs.LG]Transfer Learning in Deep Reinforcement Learning: A Survey
    Zhuangdi Zhu, Kaixiang Lin, Jiayu Zhou
    http://arxiv.org/abs/2009.07888v1

    • [cs.LG]Type-augmented Relation Prediction in Knowledge Graphs
    Zijun Cui, Pavan Kapanipathi, Kartik Talamadupula, Tian Gao, Qiang Ji
    http://arxiv.org/abs/2009.07938v1

    • [cs.LG]Utilizing remote sensing data in forest inventory sampling via Bayesian optimization
    Jonne Pohjankukka, Sakari Tuominen, Jukka Heikkonen
    http://arxiv.org/abs/2009.08420v1

    • [cs.MA]Learnable Strategies for Bilateral Agent Negotiation over Multiple Issues
    Pallavi Bagga, Nicola Paoletti, Kostas Stathis
    http://arxiv.org/abs/2009.08302v1

    • [cs.MM]Temporally Guided Music-to-Body-Movement Generation
    Hsuan-Kai Kao, Li Su
    http://arxiv.org/abs/2009.08015v1

    • [cs.NE]Evolutionary Selective Imitation: Interpretable Agents by Imitation Learning Without a Demonstrator
    Roy Eliya, J. Michael Herrmann
    http://arxiv.org/abs/2009.08403v1

    • [cs.RO]Can ROS be used securely in industry? Red teaming ROS-Industrial
    Víctor Mayoral-Vilches, Martin Pinzger, Stefan Rass, Bernhard Dieber, Endika Gil-Uriarte
    http://arxiv.org/abs/2009.08211v1

    • [cs.RO]Elastica: A compliant mechanics environment for soft robotic control
    Noel Naughton, Jiarui Sun, Arman Tekinalp, Girish Chowdhary, Mattia Gazzola
    http://arxiv.org/abs/2009.08422v1

    • [cs.RO]POMP: Pomcp-based Online Motion Planning for active visual search in indoor environments
    Yiming Wang, Francesco Giuliari, Riccardo Berra, Alberto Castellini, Alessio Del Bue, Alessandro Farinelli, Marco Cristani, Francesco Setti
    http://arxiv.org/abs/2009.08140v1

    • [cs.RO]SwarmCCO: Probabilistic Reactive Collision Avoidance for Quadrotor Swarms under Uncertainty
    Senthil Hariharan Arul, Dinesh Manocha
    http://arxiv.org/abs/2009.07894v1

    • [cs.RO]Voice Controlled Upper Body Exoskeleton: A Development For Industrial Application
    Shivam Tripathy, Rohan Panicker, Shubh Shrey, Rutvik Naik, S S Pachpore
    http://arxiv.org/abs/2009.08033v1

    • [cs.SE]GraphCodeBERT: Pre-training Code Representations with Data Flow
    Daya Guo, Shuo Ren, Shuai Lu, Zhangyin Feng, Duyu Tang, Shujie Liu, Long Zhou, Nan Duan, Jian Yin, Daxin Jiang, Ming Zhou
    http://arxiv.org/abs/2009.08366v1

    • [cs.SE]Serverless Applications: Why, When, and How?
    Simon Eismann, Joel Scheuner, Erwin van Eyk, Maximilian Schwinger, Johannes Grohmann, Cristina L. Abad, Alexandru Iosup
    http://arxiv.org/abs/2009.08173v1

    • [cs.SI]Detección de comunidades en redes: Algoritmos y aplicaciones
    Julio Omar Palacio Niño
    http://arxiv.org/abs/2009.08390v1

    • [cs.SI]Does “Fans Economy” Work for Chinese Pop Music Industry?
    Hao Wang
    http://arxiv.org/abs/2009.08151v1

    • [cs.SI]Hiding in Plain Sight: A Measurement and Analysis of Kids’ Exposure to Malicious URLs on YouTube
    Sultan Alshamrani, Ahmed Abusnaina, David Mohaisen
    http://arxiv.org/abs/2009.07923v1

    • [cs.SI]Impact and dynamics of hate and counter speech online
    Joshua Garland, Keyan Ghazi-Zahedi, Jean-Gabriel Young, Laurent Hébert-Dufresne, Mirta Galesic
    http://arxiv.org/abs/2009.08392v1

    • [cs.SI]Moving with the Times: Investigating the Alt-Right Network Gab with Temporal Interaction Graphs
    Naomi A. Arnold, Benjamin A. Steer, Imane Hafnaoui, Hugo A. Parada G., Raul J. Mondragon, Felix Cuadrado, Richard G. Clegg
    http://arxiv.org/abs/2009.08322v1

    • [cs.SI]Social network analytics for supervised fraud detection in insurance
    María Óskarsdóttir, Waqas Ahmed, Katrien Antonio, Bart Baesens, Rémi Dendievel, Tom Donas, Tom Reynkens
    http://arxiv.org/abs/2009.08313v1

    • [cs.SI]Understanding Effects of Editing Tweets for News Sharing by Media Accounts through a Causal Inference Framework
    Kunwoo Park, Haewoon Kwak, Jisun An, Sanjay Chawla
    http://arxiv.org/abs/2009.08100v1

    • [eess.IV]Image Separation with Side Information: A Connected Auto-Encoders Based Approach
    Wei Pu, Barak Sober, Nathan Daly, Zahra Sabetsarvestani, Catherine Higgitt, Ingrid Daubechies, Miguel R. D. Rodrigues
    http://arxiv.org/abs/2009.07889v1

    • [eess.IV]Noise-Aware Merging of High Dynamic Range Image Stacks without Camera Calibration
    Param Hanji, Fangcheng Zhong, Rafal K. Mantiuk
    http://arxiv.org/abs/2009.07975v1

    • [eess.IV]Review: Deep Learning in Electron Microscopy
    Jeffrey M. Ede
    http://arxiv.org/abs/2009.08328v1

    • [eess.IV]Single Frame Deblurring with Laplacian Filters
    Baran Ataman, Esin Guldogan
    http://arxiv.org/abs/2009.08182v1

    • [eess.SP]Improving in-home appliance identification using fuzzy-neighbors-preserving analysis based QR-decomposition
    Yassine Himeur, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira
    http://arxiv.org/abs/2009.08282v1

    • [eess.SP]Knowledge-Assisted Deep Reinforcement Learning in 5G Scheduler Design: From Theoretical Framework to Implementation
    Zhouyou Gu, Changyang She, Wibowo Hardjawana, Simon Lumb, David McKechnie, Todd Essery, Branka Vucetic
    http://arxiv.org/abs/2009.08346v1

    • [eess.SP]Probabilistic Value-Deviation-Bounded Source-Dependent Bit-Level Channel Adaptation for Approximate Communication
    Bilgesu Arif Bilgin, Phillip Stanley-Marbell
    http://arxiv.org/abs/2009.07811v1

    • [math.RA]Tropical time series, iterated-sums signatures and quasisymmetric functions
    Joscha Diehl, Kurusch Ebrahimi-Fard, Nikolas Tapia
    http://arxiv.org/abs/2009.08443v1

    • [math.ST]On mixtures of extremal copulas and attainability of concordance signatures
    Alexander J. McNeil, Johanna G. Neslehova, Andrew D. Smith
    http://arxiv.org/abs/2009.08130v1

    • [math.ST]Ridge Regression Revisited: Debiasing, Thresholding and Bootstrap
    Yunyi Zhang, Dimitris N. Politis
    http://arxiv.org/abs/2009.08071v1

    • [nlin.AO]Uncertainty Quantification of Multi-Scale Resilience in Nonlinear Complex Networks using Arbitrary Polynomial Chaos
    Mengbang Zou, Luca Zanotti Fragonara, Weisi Guo
    http://arxiv.org/abs/2009.08243v1

    • [physics.app-ph]Suction-based Soft Robotic Gripping of Rough and Irregular Parts
    Sukho Song, Dirk-Michael Drotlef, Donghoon Son, Anastasia Koivikko, Metin Sitti
    http://arxiv.org/abs/2009.08156v1

    • [physics.med-ph]Model-based approach for analyzing prevalence of nuclear cataracts in elderly residents
    Sachiko Kodera, Akimasa Hirata, Fumiaki Miura, Essam A. Rashed, Natsuko Hatsusaka, Naoki Yamamoto, Eri Kubo, Hiroshi Sasaki
    http://arxiv.org/abs/2009.08005v1

    • [physics.soc-ph]Feature Engineering for Data-driven Traffic State Forecast in Urban Road Networks
    Felix Rempe, Klaus Bogenberger
    http://arxiv.org/abs/2009.08354v1

    • [q-bio.MN]Identification of Biomarkers Controlling Cell Fate In Blood Cell Development
    Maryam Nazarieh, Volkhard Helms, Marc P. Hoeppner, Andre Franke
    http://arxiv.org/abs/2009.08296v1

    • [q-bio.NC]Attracting Sets in Perceptual Networks
    Robert Prentner
    http://arxiv.org/abs/2009.08101v1

    • [q-bio.NC]Computational models in Electroencephalography
    Katharina Glomb, Joana Cabral, Anna Cattani, Alberto Mazzoni, Ashish Raj, Benedetta Franceschiello
    http://arxiv.org/abs/2009.08385v1

    • [q-bio.NC]EventProp: Backpropagation for Exact Gradients in Spiking Neural Networks
    Timo C. Wunderlich, Christian Pehle
    http://arxiv.org/abs/2009.08378v1

    • [quant-ph]Improved Quantum Boosting
    Adam Izdebski, Ronald de Wolf
    http://arxiv.org/abs/2009.08360v1

    • [stat.AP]A Time To Event Framework For Multi-touch Attribution
    Dinah Shender, Ali Nasiri Amini, Xinlong Bao, Mert Dikmen, Amy Richardson, Jing Wang
    http://arxiv.org/abs/2009.08432v1

    • [stat.AP]Assessing the contagiousness of mass shootings with nonparametric Hawkes processes
    Peter Boyd, James Molyneux
    http://arxiv.org/abs/2009.08007v1

    • [stat.AP]Bayesian Matrix Completion for Hypothesis Testing
    Bora Jin, David B. Dunson, Julia E. Rager, David Reif, Stephanie M. Engel, Amy H. Herring
    http://arxiv.org/abs/2009.08405v1

    • [stat.AP]Discovering causal factors of drought in Ethiopia
    Mohammad Noorbakhsh, Colm Connaughton, Francisco A. Rodrigues
    http://arxiv.org/abs/2009.07955v1

    • [stat.AP]Functional data analysis: An application to COVID-19 data in the United States
    Chen Tang, Tiandong Wang, Panpan Zhang
    http://arxiv.org/abs/2009.08363v1

    • [stat.AP]High-resolution Spatio-temporal Model for County-level COVID-19 Activity in the U.S
    Shixiang Zhu, Alexander Bukharin, Liyan Xie, Mauricio Santillana, Shihao Yang, Yao Xie
    http://arxiv.org/abs/2009.07356v2

    • [stat.AP]Network Analysis of Orchestral Concert Programming
    Anna K. Yanchenko
    http://arxiv.org/abs/2009.07887v1

    • [stat.ME]A Survival Mediation Model with Bayesian Model Averaging
    Jie Zhou, Xun Jiang, H. Amy Xia, Peng Wei, Brian P. Hobbs
    http://arxiv.org/abs/2009.07875v1

    • [stat.ME]A semi-analytical solution to the maximum likelihood fit of Poisson data to a linear model using the Cash statistic
    Massimiliano Bonamente, David Spence
    http://arxiv.org/abs/2009.07915v1

    • [stat.ME]Characteristic and Necessary Minutiae in Fingerprints
    Johannes Wieditz, Yvo Pokern, Dominic Schuhmacher, Stephan Huckemann
    http://arxiv.org/abs/2009.07910v1

    • [stat.ME]Computationally Efficient Deep Bayesian Unit-Level Modeling of Survey Data under Informative Sampling for Small Area Estimation
    Paul A. Parker, Scott H. Holan
    http://arxiv.org/abs/2009.07934v1

    • [stat.ME]Random autoregressive models: A structured overview
    Marta Regis, Paulo Serra, Edwin R. van den Heuvel
    http://arxiv.org/abs/2009.08165v1

    • [stat.ME]Statistical Inference for High-Dimensional Vector Autoregression with Measurement Error
    Xiang Lyu, Jian Kang, Lexin Li
    http://arxiv.org/abs/2009.08011v1

    • [stat.ML]A Principle of Least Action for the Training of Neural Networks
    Skander Karkar, Ibrahhim Ayed, Emmanuel de Bézenac, Patrick Gallinari
    http://arxiv.org/abs/2009.08372v1

    • [stat.ML]Automatic Forecasting using Gaussian Processes
    Giorgio Corani, Alessio Benavoli, Joao Augusto, Marco Zaffalon
    http://arxiv.org/abs/2009.08102v1

    • [stat.ML]Complex-Valued vs. Real-Valued Neural Networks for Classification Perspectives: An Example on Non-Circular Data
    Jose Agustin Barrachina, Chenfang Ren, Christele Morisseau, Gilles Vieillard, Jean-Philippe Ovarlez
    http://arxiv.org/abs/2009.08340v1

    • [stat.ML]Graph representation forecasting of patient’s medical conditions: towards a digital twin
    Pietro Barbiero, Ramon Viñas Torné, Pietro Lió
    http://arxiv.org/abs/2009.08299v1

    • [stat.ML]Indoor Environment Data Time-Series Reconstruction Using Autoencoder Neural Networks
    Antonio Liguori, Romana Markovic, Thi Thu Ha Dam, Jérôme Frisch, Christoph van Treeck, Francesco Causone
    http://arxiv.org/abs/2009.08155v1

    • [stat.ML]Integration of AI and mechanistic modeling in generative adversarial networks for stochastic inverse problems
    Jaimit Parikh, James Kozloski, Viatcheslav Gurev
    http://arxiv.org/abs/2009.08267v1

    • [stat.ML]Mean-Variance Analysis in Bayesian Optimization under Uncertainty
    Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi
    http://arxiv.org/abs/2009.08166v1

    • [stat.ML]Multidimensional Scaling, Sammon Mapping, and Isomap: Tutorial and Survey
    Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
    http://arxiv.org/abs/2009.08136v1