astro-ph.SR - 太阳和天体物理学恒星
    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.GT - 计算机科学与博弈论
    cs.HC - 人机接口
    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.SD - 声音处理
    cs.SE - 软件工程
    cs.SI - 社交网络与信息网络
    econ.EM - 计量经济学
    eess.AS - 语音处理
    eess.IV - 图像与视频处理
    eess.SP - 信号处理
    eess.SY - 系统和控制
    math.DS - 动力系统
    math.NA - 数值分析
    math.OC - 优化与控制
    math.ST - 统计理论
    physics.comp-ph - 计算物理学
    physics.soc-ph - 物理学与社会
    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

    • [astro-ph.SR]Automatic classification of eclipsing binary stars using deep learning methods
    • [cs.AI]Accelerating the Convergence of Human-in-the-Loop Reinforcement Learning with Counterfactual Explanations
    • [cs.AI]Classification of Discrete Dynamical Systems Based on Transients
    • [cs.AI]Knowledge-intensive Language Understanding for Explainable AI
    • [cs.AI]Learning-based Preference Prediction for Constrained Multi-Criteria Path-Planning
    • [cs.AI]Risk Adversarial Learning System for Connected and Autonomous Vehicle Charging
    • [cs.AI]Scheduling Aerial Vehicles in an Urban Air Mobility Scheme
    • [cs.CL]今日学术视野(2021.8.5) - 图1: Weakly Supervised Dialogue Policy Learning: Reward Estimation for Multi-turn Dialogue
    • [cs.CL]A Dynamic Head Importance Computation Mechanism for Neural Machine Translation
    • [cs.CL]Automatic recognition of suprasegmentals in speech
    • [cs.CL]ConveRT for FAQ Answering
    • [cs.CL]Correcting Arabic Soft Spelling Mistakes using BiLSTM-based Machine Learning
    • [cs.CL]Decoupling recognition and transcription in Mandarin ASR
    • [cs.CL]Dialogue Summarization with Supporting Utterance Flow Modeling and Fact Regularization
    • [cs.CL]EVA: An Open-Domain Chinese Dialogue System with Large-Scale Generative Pre-Training
    • [cs.CL]ExBERT: An External Knowledge Enhanced BERT for Natural Language Inference
    • [cs.CL]How to Evaluate Your Dialogue Models: A Review of Approaches
    • [cs.CL]LICHEE: Improving Language Model Pre-training with Multi-grained Tokenization
    • [cs.CL]M2H2: A Multimodal Multiparty Hindi Dataset For Humor Recognition in Conversations
    • [cs.CL]More but Correct: Generating Diversified and Entity-revised Medical Response
    • [cs.CL]PyEuroVoc: A Tool for Multilingual Legal Document Classification with EuroVoc Descriptors
    • [cs.CL]The RareDis corpus: a corpus annotated with rare diseases, their signs and symptoms
    • [cs.CL]The Role of Phonetic Units in Speech Emotion Recognition
    • [cs.CL]Underreporting of errors in NLG output, and what to do about it
    • [cs.CL]User-Initiated Repetition-Based Recovery in Multi-Utterance Dialogue Systems
    • [cs.CL]Your fairness may vary: Group fairness of pretrained language models in toxic text classification
    • [cs.CL]sarcasm detection and quantification in arabic tweets
    • [cs.CR]Efficacy of Statistical and Artificial Intelligence-based False Information Cyberattack Detection Models for Connected Vehicles
    • [cs.CR]Generating Master Faces for Dictionary Attacks with a Network-Assisted Latent Space Evolution
    • [cs.CR]The Devil is in the GAN: Defending Deep Generative Models Against Backdoor Attacks
    • [cs.CR]Using Throughput-Centric Byzantine Broadcast to Tolerate Malicious Majority in Blockchains
    • [cs.CV]A computational geometry approach for modeling neuronal fiber pathways
    • [cs.CV]AGAR a microbial colony dataset for deep learning detection
    • [cs.CV]AI Based Waste classifier with Thermo-Rapid Composting
    • [cs.CV]Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation
    • [cs.CV]Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusters
    • [cs.CV]CanvasVAE: Learning to Generate Vector Graphic Documents
    • [cs.CV]Classifying action correctness in physical rehabilitation exercises
    • [cs.CV]Consistent Depth of Moving Objects in Video
    • [cs.CV]Cycle-Consistent Inverse GAN for Text-to-Image Synthesis
    • [cs.CV]Deep GAN-Based Cross-Spectral Cross-Resolution Iris Recognition
    • [cs.CV]Deep Rival Penalized Competitive Learning for Low-resolution Face Recognition
    • [cs.CV]Del-Net: A Single-Stage Network for Mobile Camera ISP
    • [cs.CV]Domain Adaptor Networks for Hyperspectral Image Recognition
    • [cs.CV]Dynamic Feature Regularized Loss for Weakly Supervised Semantic Segmentation
    • [cs.CV]Elastic Architecture Search for Diverse Tasks with Different Resources
    • [cs.CV]Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer
    • [cs.CV]Generalized Source-free Domain Adaptation
    • [cs.CV]HyperColor: A HyperNetwork Approach for Synthesizing Auto-colored 3D Models for Game Scenes Population
    • [cs.CV]I3CL:Intra- and Inter-Instance Collaborative Learning for Arbitrary-shaped Scene Text Detection
    • [cs.CV]Inference via Sparse Coding in a Hierarchical Vision Model
    • [cs.CV]Multilevel Knowledge Transfer for Cross-Domain Object Detection
    • [cs.CV]Multispectral Vineyard Segmentation: A Deep Learning approach
    • [cs.CV]Neural Free-Viewpoint Performance Rendering under Complex Human-object Interactions
    • [cs.CV]Neural Image Representations for Multi-Image Fusion and Layer Separation
    • [cs.CV]Non-local Graph Convolutional Network for joint Activity Recognition and Motion Prediction
    • [cs.CV]Pre-trained Models for Sonar Images
    • [cs.CV]Predicting Popularity of Images Over 30 Days
    • [cs.CV]RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting
    • [cs.CV]SPG-VTON: Semantic Prediction Guidance for Multi-pose Virtual Try-on
    • [cs.CV]Skeleton Split Strategies for Spatial Temporal Graph Convolution Networks
    • [cs.CV]SphereFace2: Binary Classification is All You Need for Deep Face Recognition
    • [cs.CV]Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation
    • [cs.CV]Where do Models go Wrong? Parameter-Space Saliency Maps for Explainability
    • [cs.CY]Accelerating the Adoption of Disruptive Technologies: The Impact of COVID-19 on Intention to Use Self-Driving Vehicles
    • [cs.CY]Automated Identification of Climate Risk Disclosures in Annual Corporate Reports
    • [cs.CY]Data Collection and Labeling of Real-Time IoT-Enabled Bio-Signals in Everyday Settings for Mental Health Improvement
    • [cs.CY]Impact of Load Demand Dataset Characteristics on Clustering Validation Indices
    • [cs.DB]Extending Sticky-Datalog+/- via Finite-Position Selection Functions: Tractability, Algorithms, and Optimization
    • [cs.DC]An Impossibility Result on Strong Linearizability in Message-Passing Systems
    • [cs.DC]Frugal Byzantine Computing
    • [cs.GT]Correlation of biological and computer viruses through evolutionary game theory
    • [cs.HC]SwarmPlay: Interactive Tic-tac-toe Board Game with Swarm of Nano-UAVs driven by Reinforcement Learning
    • [cs.IR]A Hinge-Loss based Codebook Transfer for Cross-Domain Recommendation with Nonoverlapping Data
    • [cs.IR]Adaptively Optimize Content Recommendation Using Multi Armed Bandit Algorithms in E-commerce
    • [cs.IR]An Interpretable Music Similarity Measure Based on Path Interestingness
    • [cs.IR]Sequence Adaptation via Reinforcement Learning in Recommender Systems
    • [cs.IR]The Many Dimensions of Truthfulness: Crowdsourcing Misinformation Assessments on a Multidimensional Scale
    • [cs.IR]Understanding Human Reading Comprehension with brain signals
    • [cs.IR]Using Query Expansion in Manifold Ranking for Query-Oriented Multi-Document Summarization
    • [cs.IR]iART: A Search Engine for Art-Historical Images to Support Research in the Humanities
    • [cs.IT]A Unifying Framework to Construct QC-LDPC Tanner Graphs of Desired Girth
    • [cs.IT]Joint Active User Detection and Channel Estimation for Grant-Free NOMA-OTFS in LEO Constellation Internet-of-Things
    • [cs.IT]Multi-Frequency GPR Microwave Imaging of Sparse Targets Through a Multi-Task Bayesian Compressive Sensing Approach
    • [cs.IT]On the Structure of the Binary LCD Codes having an Automorphism of Odd Prime Order
    • [cs.IT]Waveform Selection for Radar Tracking in Target Channels With Memory via Universal Learning
    • [cs.LG]AdvRush: Searching for Adversarially Robust Neural Architectures
    • [cs.LG]Batch Normalization Preconditioning for Neural Network Training
    • [cs.LG]Controlled Deep Reinforcement Learning for Optimized Slice Placement
    • [cs.LG]Domain Generalization via Gradient Surgery
    • [cs.LG]Fast Estimation Method for the Stability of Ensemble Feature Selectors
    • [cs.LG]GalaxAI: Machine learning toolbox for interpretable analysis of spacecraft telemetry data
    • [cs.LG]Geometry of Linear Convolutional Networks
    • [cs.LG]Grounding Representation Similarity with Statistical Testing
    • [cs.LG]Hybrid Quantum-Classical Neural Network for Incident Detection
    • [cs.LG]Large-Scale Differentially Private BERT
    • [cs.LG]MBDP: A Model-based Approach to Achieve both Robustness and Sample Efficiency via Double Dropout Planning
    • [cs.LG]Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction
    • [cs.LG]Metodos de Agrupamentos em dois Estagios
    • [cs.LG]Multi-objective Recurrent Neural Networks Optimization for the Edge — a Quantization-based Approach
    • [cs.LG]Noise-Resistant Deep Metric Learning with Probabilistic Instance Filtering
    • [cs.LG]OVERT: An Algorithm for Safety Verification of Neural Network Control Policies for Nonlinear Systems
    • [cs.LG]Process Mining Model to Predict Mortality in Paralytic Ileus Patients
    • [cs.LG]Pure Exploration in Multi-armed Bandits with Graph Side Information
    • [cs.LG]Robust Compressed Sensing MRI with Deep Generative Priors
    • [cs.LG]Sequoia: A Software Framework to Unify Continual Learning Research
    • [cs.LG]Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training data
    • [cs.LG]Solving Fashion Recommendation — The Farfetch Challenge
    • [cs.LG]Spectral Graph Convolutional Networks WithLifting-based Adaptive Graph Wavelets
    • [cs.LG]Task Agnostic Metrics for Reservoir Computing
    • [cs.LG]Toward Spatially Unbiased Generative Models
    • [cs.LG]Transformer-based Map Matching Model with Limited Ground-Truth Data using Transfer-Learning Approach
    • [cs.LG]Uniform Sampling over Episode Difficulty
    • [cs.LG]Variational Actor-Critic Algorithms
    • [cs.LG]Visualizing Data using GTSNE
    • [cs.MA]Dynamic communication topologies for distributed heuristics in energy system optimization algorithms
    • [cs.MM]Fast BCH Coding for Optimal Robust Image Watermarking in DCT Domain
    • [cs.MM]Speech2AffectiveGestures: Synthesizing Co-Speech Gestures with Generative Adversarial Affective Expression Learning
    • [cs.NE]Predicting Calibration Parameter Values for Constitutive Models using Genetic Programming
    • [cs.RO]A Multi-Hypothesis Approach to Pose Ambiguity in Object-Based SLAM
    • [cs.RO]A Non-uniform Sampling Approach for Fast and Efficient Path Planning
    • [cs.RO]AcousticFusion: Fusing Sound Source Localization to Visual SLAM in Dynamic Environments
    • [cs.RO]An Analysis of Human-Robot Information Streams to Inform Dynamic Autonomy Allocation
    • [cs.RO]CPPNet: A Coverage Path Planning Network
    • [cs.RO]Comparison of modern open-source visual SLAM approaches
    • [cs.RO]Consolidating Kinematic Models to Promote Coordinated Mobile Manipulations
    • [cs.RO]Cross-Modal Analysis of Human Detection for Robotics: An Industrial Case Study
    • [cs.RO]Design and Evaluation of a Hair Combing System Using a General-Purpose Robotic Arm
    • [cs.RO]Desk Organization: Effect of Multimodal Inputs on Spatial Relational Learning
    • [cs.RO]Double-Dot Network for Antipodal Grasp Detection
    • [cs.RO]Efficient Task Planning for Mobile Manipulation: a Virtual Kinematic Chain Perspective
    • [cs.RO]Hierarchical Representations and Explicit Memory: Learning Effective Navigation Policies on 3D Scene Graphs using Graph Neural Networks
    • [cs.RO]Impact Mitigation for Dynamic Legged Robots with Steel Wire Transmission Using Nonlinear Active Compliance Control
    • [cs.RO]Interpretable Trade-offs Between Robot Task Accuracy and Compute Efficiency
    • [cs.RO]Non-Prehensile Manipulation of Cuboid Objects Using a Catenary Robot
    • [cs.RO]ODIP: Towards Automatic Adaptation for Object Detection by Interactive Perception
    • [cs.RO]On the descriptive power of LiDAR intensity images for segment-based loop closing in 3-D SLAM
    • [cs.RO]Optimization Based Collision Avoidance for Multi-Agent DynamicalSystems in Goal Reaching Task
    • [cs.RO]Position Control and Variable-Height Trajectory Tracking of a Soft Pneumatic Legged Robot
    • [cs.RO]Predictive Runtime Monitoring for Mobile Robots using Logic-Based Bayesian Intent Inference
    • [cs.RO]Research Challenges and Progress in Robotic Grasping and Manipulation Competitions
    • [cs.RO]SABER: Data-Driven Motion Planner for Autonomously Navigating Heterogeneous Robots
    • [cs.SD]Is Disentanglement enough? On Latent Representations for Controllable Music Generation
    • [cs.SD]The Performance Evaluation of Attention-Based Neural ASR under Mixed Speech Input
    • [cs.SE]The application of artificial intelligence in software engineering: a review challenging conventional wisdom
    • [cs.SI]Charting closed-loop collective cultural decisions: From book best sellers and music downloads to Twitter hashtags and Reddit comments
    • [cs.SI]The history and future prospects of open data and open source software
    • [cs.SI]fauci-email: a json digest of Anthony Fauci’s released emails
    • [econ.EM]Learning Causal Relationships from Conditional Moment Conditions by Importance Weighting
    • [eess.AS]A Study of Multilingual End-to-End Speech Recognition for Kazakh, Russian, and English
    • [eess.AS]Creation and Detection of German Voice Deepfakes
    • [eess.IV]From augmented microscopy to the topological transformer: a new approach in cell image analysis for Alzheimer’s research
    • [eess.IV]Image Augmentation Using a Task Guided Generative Adversarial Network for Age Estimation on Brain MRI
    • [eess.IV]MixMicrobleedNet: segmentation of cerebral microbleeds using nnU-Net
    • [eess.IV]Region-wise Loss for Biomedical Image Segmentation
    • [eess.IV]Two New Stenoses Detection Methods of Coronary Angiograms
    • [eess.IV]Wavelet-Based Network For High Dynamic Range Imaging
    • [eess.SP]Neural Calibration for Scalable Beamforming in FDD Massive MIMO with Implicit Channel Estimation
    • [eess.SY]Deep Reinforcement Learning Based Networked Control with Network Delays for Signal Temporal Logic Specifications
    • [eess.SY]Electrical peak demand forecasting- A review
    • [math.DS]Persistent homology method to detect block structures in weighted networks
    • [math.NA]Numerical Solution of Stiff Ordinary Differential Equations with Random Projection Neural Networks
    • [math.OC]A Unified Study on 今日学术视野(2021.8.5) - 图2 over 今日学术视野(2021.8.5) - 图3 Minimization
    • [math.OC]Computing the Newton-step faster than Hessian accumulation
    • [math.ST]Adaptive estimation for small diffusion processes based on sampled data
    • [math.ST]Multiplicative deconvolution estimator based on a ridge approach
    • [physics.comp-ph]Learning Nonlinear Waves in Plasmon-induced Transparency
    • [physics.soc-ph]Effective Model Integration Algorithm for Improving Link and Sign Prediction in Complex Networks
    • [physics.soc-ph]Linking the Network Centrality Measures
    • [q-bio.NC]Representation learning for neural population activity with Neural Data Transformers
    • [q-bio.NC]Taking Cognition Seriously: A generalised physics of cognition
    • [quant-ph]Hybrid Classical-Quantum Deep Learning Models for Autonomous Vehicle Traffic Image Classification Under Adversarial Attack
    • [quant-ph]Quantum Neural Networks: Concepts, Applications, and Challenges
    • [stat.AP]Bayesian spectral density approach for identification and uncertainty quantification of bridge section’s flutter derivatives operated in turbulent flow
    • [stat.AP]Dynamic modeling of the Italians’ attitude towards Covid-19
    • [stat.AP]Linking Sap Flow Measurements with Earth Observations
    • [stat.ME]Distributed Inference for Tail Empirical and Quantile Processes
    • [stat.ME]High-dimensional changepoint estimation with heterogeneous missingness
    • [stat.ME]Interim Monitoring in Sequential Multiple Assignment Randomized Trials
    • [stat.ME]MCEM and SAEM Algorithms for Geostatistical Models under Preferential Sampling
    • [stat.ME]Maximum weighted likelihood estimator for robust heavy-tail modelling of finite mixture models
    • [stat.ME]Optimal Covariate Balancing Conditions in Propensity Score Estimation
    • [stat.ME]Some results on maximum likelihood estimation under the EM algorithm: Asymptotic properties and consistent sandwich estimator of covariance matrix

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

    • [astro-ph.SR]Automatic classification of eclipsing binary stars using deep learning methods
    Michal Čokina, Viera Maslej-Krešňáková, Peter Butka, Štefan Parimucha
    http://arxiv.org/abs/2108.01640v1

    • [cs.AI]Accelerating the Convergence of Human-in-the-Loop Reinforcement Learning with Counterfactual Explanations
    Jakob Karalus, Felix Lindner
    http://arxiv.org/abs/2108.01358v1

    • [cs.AI]Classification of Discrete Dynamical Systems Based on Transients
    Barbora Hudcová, Tomáš Mikolov
    http://arxiv.org/abs/2108.01573v1

    • [cs.AI]Knowledge-intensive Language Understanding for Explainable AI
    Amit Sheth, Manas Gaur, Kaushik Roy, Keyur Faldu
    http://arxiv.org/abs/2108.01174v1

    • [cs.AI]Learning-based Preference Prediction for Constrained Multi-Criteria Path-Planning
    Kevin Osanlou, Christophe Guettier, Andrei Bursuc, Tristan Cazenave, Eric Jacopin
    http://arxiv.org/abs/2108.01080v1

    • [cs.AI]Risk Adversarial Learning System for Connected and Autonomous Vehicle Charging
    Md. Shirajum Munir, Ki Tae Kim, Kyi Thar, Dusit Niyato, Choong Seon Hong
    http://arxiv.org/abs/2108.01466v1

    • [cs.AI]Scheduling Aerial Vehicles in an Urban Air Mobility Scheme
    Emmanouil S. Rigas, Panayiotis Kolios, Georgios Ellinas
    http://arxiv.org/abs/2108.01608v1

    • [cs.CL]今日学术视野(2021.8.5) - 图4: Weakly Supervised Dialogue Policy Learning: Reward Estimation for Multi-turn Dialogue
    Anant Khandelwal
    http://arxiv.org/abs/2108.01487v1

    • [cs.CL]A Dynamic Head Importance Computation Mechanism for Neural Machine Translation
    Akshay Goindani, Manish Shrivastava
    http://arxiv.org/abs/2108.01377v1

    • [cs.CL]Automatic recognition of suprasegmentals in speech
    Jiahong Yuan, Neville Ryant, Xingyu Cai, Kenneth Church, Mark Liberman
    http://arxiv.org/abs/2108.01122v1

    • [cs.CL]ConveRT for FAQ Answering
    Maxime De Bruyn, Ehsan Lotfi, Jeska Buhmann, Walter Daelemans
    http://arxiv.org/abs/2108.00719v2

    • [cs.CL]Correcting Arabic Soft Spelling Mistakes using BiLSTM-based Machine Learning
    Gheith A. Abandah, Ashraf Suyyagh, Mohammed Z. Khedher
    http://arxiv.org/abs/2108.01141v1

    • [cs.CL]Decoupling recognition and transcription in Mandarin ASR
    Jiahong Yuan, Xingyu Cai, Dongji Gao, Renjie Zheng, Liang Huang, Kenneth Church
    http://arxiv.org/abs/2108.01129v1

    • [cs.CL]Dialogue Summarization with Supporting Utterance Flow Modeling and Fact Regularization
    Wang Chen, Piji Li, Hou Pong Chan, Irwin King
    http://arxiv.org/abs/2108.01268v1

    • [cs.CL]EVA: An Open-Domain Chinese Dialogue System with Large-Scale Generative Pre-Training
    Hao Zhou, Pei Ke, Zheng Zhang, Yuxian Gu, Yinhe Zheng, Chujie Zheng, Yida Wang, Chen Henry Wu, Hao Sun, Xiaocong Yang, Bosi Wen, Xiaoyan Zhu, Minlie Huang, Jie Tang
    http://arxiv.org/abs/2108.01547v1

    • [cs.CL]ExBERT: An External Knowledge Enhanced BERT for Natural Language Inference
    Amit Gajbhiye, Noura Al Moubayed, Steven Bradley
    http://arxiv.org/abs/2108.01589v1

    • [cs.CL]How to Evaluate Your Dialogue Models: A Review of Approaches
    Xinmeng Li, Wansen Wu, Long Qin, Quanjun Yin
    http://arxiv.org/abs/2108.01369v1

    • [cs.CL]LICHEE: Improving Language Model Pre-training with Multi-grained Tokenization
    Weidong Guo, Mingjun Zhao, Lusheng Zhang, Di Niu, Jinwen Luo, Zhenhua Liu, Zhenyang Li, Jianbo Tang
    http://arxiv.org/abs/2108.00801v2

    • [cs.CL]M2H2: A Multimodal Multiparty Hindi Dataset For Humor Recognition in Conversations
    Dushyant Singh Chauhan, Gopendra Vikram Singh, Navonil Majumder, Amir Zadeh, Asif Ekbal, Pushpak Bhattacharyya, Louis-philippe Morency, Soujanya Poria
    http://arxiv.org/abs/2108.01260v1

    • [cs.CL]More but Correct: Generating Diversified and Entity-revised Medical Response
    Bin Li, Encheng Chen, Hongru Liu, Yixuan Weng, Bin Sun, Shutao Li, Yongping Bai, Meiling Hu
    http://arxiv.org/abs/2108.01266v1

    • [cs.CL]PyEuroVoc: A Tool for Multilingual Legal Document Classification with EuroVoc Descriptors
    Andrei-Marius Avram, Vasile Pais, Dan Tufis
    http://arxiv.org/abs/2108.01139v1

    • [cs.CL]The RareDis corpus: a corpus annotated with rare diseases, their signs and symptoms
    Claudia Martínez-deMiguel, Isabel Segura-Bedmar, Esteban Chacón-Solano, Sara Guerrero-Aspizua
    http://arxiv.org/abs/2108.01204v1

    • [cs.CL]The Role of Phonetic Units in Speech Emotion Recognition
    Jiahong Yuan, Xingyu Cai, Renjie Zheng, Liang Huang, Kenneth Church
    http://arxiv.org/abs/2108.01132v1

    • [cs.CL]Underreporting of errors in NLG output, and what to do about it
    Emiel van Miltenburg, Miruna-Adriana Clinciu, Ondřej Dušek, Dimitra Gkatzia, Stephanie Inglis, Leo Leppänen, Saad Mahamood, Emma Manning, Stephanie Schoch, Craig Thomson, Luou Wen
    http://arxiv.org/abs/2108.01182v1

    • [cs.CL]User-Initiated Repetition-Based Recovery in Multi-Utterance Dialogue Systems
    Hoang Long Nguyen, Vincent Renkens, Joris Pelemans, Srividya Pranavi Potharaju, Anil Kumar Nalamalapu, Murat Akbacak
    http://arxiv.org/abs/2108.01208v1

    • [cs.CL]Your fairness may vary: Group fairness of pretrained language models in toxic text classification
    Ioana Baldini, Dennis Wei, Karthikeyan Natesan Ramamurthy, Mikhail Yurochkin, Moninder Singh
    http://arxiv.org/abs/2108.01250v1

    • [cs.CL]sarcasm detection and quantification in arabic tweets
    Bashar Talafha, Muhy Eddin Za’ter, Samer Suleiman, Mahmoud Al-Ayyoub, Mohammed N. Al-Kabi
    http://arxiv.org/abs/2108.01425v1

    • [cs.CR]Efficacy of Statistical and Artificial Intelligence-based False Information Cyberattack Detection Models for Connected Vehicles
    Sakib Mahmud Khan, Gurcan Comert, Mashrur Chowdhury
    http://arxiv.org/abs/2108.01124v1

    • [cs.CR]Generating Master Faces for Dictionary Attacks with a Network-Assisted Latent Space Evolution
    Ron Shmelkin, Tomer Friedlander, Lior Wolf
    http://arxiv.org/abs/2108.01077v1

    • [cs.CR]The Devil is in the GAN: Defending Deep Generative Models Against Backdoor Attacks
    Ambrish Rawat, Killian Levacher, Mathieu Sinn
    http://arxiv.org/abs/2108.01644v1

    • [cs.CR]Using Throughput-Centric Byzantine Broadcast to Tolerate Malicious Majority in Blockchains
    Ruomu Hou, Haifeng Yu, Prateek Saxena
    http://arxiv.org/abs/2108.01341v1

    • [cs.CV]A computational geometry approach for modeling neuronal fiber pathways
    S. Shailja, Angela Zhang, B. S. Manjunath
    http://arxiv.org/abs/2108.01175v1

    • [cs.CV]AGAR a microbial colony dataset for deep learning detection
    Sylwia Majchrowska, Jarosław Pawłowski, Grzegorz Guła, Tomasz Bonus, Agata Hanas, Adam Loch, Agnieszka Pawlak, Justyna Roszkowiak, Tomasz Golan, Zuzanna Drulis-Kawa
    http://arxiv.org/abs/2108.01234v1

    • [cs.CV]AI Based Waste classifier with Thermo-Rapid Composting
    Saswati kumari behera, Aouthithiye Barathwaj SR Y, Vasundhara L, Saisudha G, Haariharan N C
    http://arxiv.org/abs/2108.01394v1

    • [cs.CV]Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation
    Xiangrong Zhang, Zelin Peng, Peng Zhu, Tianyang Zhang, Chen Li, Huiyu Zhou, Licheng Jiao
    http://arxiv.org/abs/2108.01344v1

    • [cs.CV]Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusters
    Bowen Dong, Zitong Huang, Yuelin Guo, Qilong Wang, Zhenxing Niu, Wangmeng Zuo
    http://arxiv.org/abs/2108.01499v1

    • [cs.CV]CanvasVAE: Learning to Generate Vector Graphic Documents
    Kota Yamaguchi
    http://arxiv.org/abs/2108.01249v1

    • [cs.CV]Classifying action correctness in physical rehabilitation exercises
    Alina Miron, Crina Grosan
    http://arxiv.org/abs/2108.01375v1

    • [cs.CV]Consistent Depth of Moving Objects in Video
    Zhoutong Zhang, Forrester Cole, Richard Tucker, William T. Freeman, Tali Dekel
    http://arxiv.org/abs/2108.01166v1

    • [cs.CV]Cycle-Consistent Inverse GAN for Text-to-Image Synthesis
    Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao
    http://arxiv.org/abs/2108.01361v1

    • [cs.CV]Deep GAN-Based Cross-Spectral Cross-Resolution Iris Recognition
    Moktari Mostofa, Salman Mohamadi, Jeremy Dawson, Nasser M. Nasrabadi
    http://arxiv.org/abs/2108.01569v1

    • [cs.CV]Deep Rival Penalized Competitive Learning for Low-resolution Face Recognition
    Peiying Li, Shikui Tu, Lei Xu
    http://arxiv.org/abs/2108.01286v1

    • [cs.CV]Del-Net: A Single-Stage Network for Mobile Camera ISP
    Saumya Gupta, Diplav Srivastava, Umang Chaturvedi, Anurag Jain, Gaurav Khandelwal
    http://arxiv.org/abs/2108.01623v1

    • [cs.CV]Domain Adaptor Networks for Hyperspectral Image Recognition
    Gustavo Perez, Subhransu Maji
    http://arxiv.org/abs/2108.01555v1

    • [cs.CV]Dynamic Feature Regularized Loss for Weakly Supervised Semantic Segmentation
    Bingfeng Zhang, Jimin Xiao, Yao Zhao
    http://arxiv.org/abs/2108.01296v1

    • [cs.CV]Elastic Architecture Search for Diverse Tasks with Different Resources
    Jing Liu, Bohan Zhuang, Mingkui Tan, Xu Liu, Dinh Phung, Yuanqing Li, Jianfei Cai
    http://arxiv.org/abs/2108.01224v1

    • [cs.CV]Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer
    Yifan Xu, Zhijie Zhang, Mengdan Zhang, Kekai Sheng, Ke Li, Weiming Dong, Liqing Zhang, Changsheng Xu, Xing Sun
    http://arxiv.org/abs/2108.01390v1

    • [cs.CV]Generalized Source-free Domain Adaptation
    Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui
    http://arxiv.org/abs/2108.01614v1

    • [cs.CV]HyperColor: A HyperNetwork Approach for Synthesizing Auto-colored 3D Models for Game Scenes Population
    Ivan Kostiuk, Przemysław Stachura, Sławomir K. Tadeja, Tomasz Trzciński, Przemysław Spurek
    http://arxiv.org/abs/2108.01411v1

    • [cs.CV]I3CL:Intra- and Inter-Instance Collaborative Learning for Arbitrary-shaped Scene Text Detection
    Jian Ye, Jing Zhang, Juhua Liu, Bo Du, Dacheng Tao
    http://arxiv.org/abs/2108.01343v1

    • [cs.CV]Inference via Sparse Coding in a Hierarchical Vision Model
    Joshua Bowren, Luis Sanchez-Giraldo, Odelia Schwartz
    http://arxiv.org/abs/2108.01548v1

    • [cs.CV]Multilevel Knowledge Transfer for Cross-Domain Object Detection
    Botos Csaba, Xiaojuan Qi, Arslan Chaudhry, Puneet Dokania, Philip Torr
    http://arxiv.org/abs/2108.00977v2

    • [cs.CV]Multispectral Vineyard Segmentation: A Deep Learning approach
    T. Barros, P. Conde, G. Gonçalves, C. Premebida, M. Monteiro, C. S. S. Ferreira, U. J. Nunes
    http://arxiv.org/abs/2108.01200v1

    • [cs.CV]Neural Free-Viewpoint Performance Rendering under Complex Human-object Interactions
    Guoxing Sun, Xin Chen, Yizhang Chen, Anqi Pang, Pei Lin, Yuheng Jiang, Lan Xu, Jingya Wang, Jingyi Yu
    http://arxiv.org/abs/2108.00362v2

    • [cs.CV]Neural Image Representations for Multi-Image Fusion and Layer Separation
    Seonghyeon Nam, Marcus A. Brubaker, Michael S. Brown
    http://arxiv.org/abs/2108.01199v1

    • [cs.CV]Non-local Graph Convolutional Network for joint Activity Recognition and Motion Prediction
    Dianhao Zhang, Ngo Anh Vien, Mien Van, Sean McLoone
    http://arxiv.org/abs/2108.01518v1

    • [cs.CV]Pre-trained Models for Sonar Images
    Matias Valdenegro-Toro, Alan Preciado-Grijalva, Bilal Wehbe
    http://arxiv.org/abs/2108.01111v1

    • [cs.CV]Predicting Popularity of Images Over 30 Days
    Amartya Dutta, Ferdous Ahmed Barbhuiya
    http://arxiv.org/abs/2108.01326v1

    • [cs.CV]RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting
    Jiachen Li, Fan Yang, Hengbo Ma, Srikanth Malla, Masayoshi Tomizuka, Chiho Choi
    http://arxiv.org/abs/2108.01316v1

    • [cs.CV]SPG-VTON: Semantic Prediction Guidance for Multi-pose Virtual Try-on
    Bingwen Hu, Ping Liu, Zhedong Zheng, Mingwu Ren
    http://arxiv.org/abs/2108.01578v1

    • [cs.CV]Skeleton Split Strategies for Spatial Temporal Graph Convolution Networks
    Motasem S. Alsawadi, Miguel Rio
    http://arxiv.org/abs/2108.01309v1

    • [cs.CV]SphereFace2: Binary Classification is All You Need for Deep Face Recognition
    Yandong Wen, Weiyang Liu, Adrian Weller, Bhiksha Raj, Rita Singh
    http://arxiv.org/abs/2108.01513v1

    • [cs.CV]Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation
    Victor Besnier, Andrei Bursuc, David Picard, Alexandre Briot
    http://arxiv.org/abs/2108.01634v1

    • [cs.CV]Where do Models go Wrong? Parameter-Space Saliency Maps for Explainability
    Roman Levin, Manli Shu, Eitan Borgnia, Furong Huang, Micah Goldblum, Tom Goldstein
    http://arxiv.org/abs/2108.01335v1

    • [cs.CY]Accelerating the Adoption of Disruptive Technologies: The Impact of COVID-19 on Intention to Use Self-Driving Vehicles
    Maher Said, Emma R. Zajdela, Amanda Stathopoulos
    http://arxiv.org/abs/2108.01615v1

    • [cs.CY]Automated Identification of Climate Risk Disclosures in Annual Corporate Reports
    David Friederich, Lynn H. Kaack, Alexandra Luccioni, Bjarne Steffen
    http://arxiv.org/abs/2108.01415v1

    • [cs.CY]Data Collection and Labeling of Real-Time IoT-Enabled Bio-Signals in Everyday Settings for Mental Health Improvement
    Ali Tazarv, Sina Labbaf, Amir M. Rahmani, Nikil Dutt, Marco Levorato
    http://arxiv.org/abs/2108.01169v1

    • [cs.CY]Impact of Load Demand Dataset Characteristics on Clustering Validation Indices
    Mayank Jain, Mukta Jain, Tarek AlSkaif, Soumyabrata Dev
    http://arxiv.org/abs/2108.01433v1

    • [cs.DB]Extending Sticky-Datalog+/- via Finite-Position Selection Functions: Tractability, Algorithms, and Optimization
    Leopoldo Bertossi, Mostafa Milani
    http://arxiv.org/abs/2108.00903v2

    • [cs.DC]An Impossibility Result on Strong Linearizability in Message-Passing Systems
    David Yu Cheng Chan, Vassos Hadzilacos, Sam Toueg
    http://arxiv.org/abs/2108.01651v1

    • [cs.DC]Frugal Byzantine Computing
    M. K. Aguilera, N. Ben-David, R. Guerraoui, D. Papuc, A. Xygkis, I. Zablotchi
    http://arxiv.org/abs/2108.01330v1

    • [cs.GT]Correlation of biological and computer viruses through evolutionary game theory
    Dimitris Kostadimas, Kalliopi Kastampolidou, Theodore Andronikos
    http://arxiv.org/abs/2108.00508v1

    • [cs.HC]SwarmPlay: Interactive Tic-tac-toe Board Game with Swarm of Nano-UAVs driven by Reinforcement Learning
    Ekaterina Karmanova, Valerii Serpiva, Stepan Perminov, Aleksey Fedoseev, Dzmitry Tsetserukou
    http://arxiv.org/abs/2108.01593v1

    • [cs.IR]A Hinge-Loss based Codebook Transfer for Cross-Domain Recommendation with Nonoverlapping Data
    Sowmini Devi Veeramachaneni, Arun K Pujari, Vineet Padmanabhan, Vikas Kumar
    http://arxiv.org/abs/2108.01473v1

    • [cs.IR]Adaptively Optimize Content Recommendation Using Multi Armed Bandit Algorithms in E-commerce
    Ding Xiang, Becky West, Jiaqi Wang, Xiquan Cui, Jinzhou Huang
    http://arxiv.org/abs/2108.01440v1

    • [cs.IR]An Interpretable Music Similarity Measure Based on Path Interestingness
    Giovanni Gabbolini, Derek Bridge
    http://arxiv.org/abs/2108.01632v1

    • [cs.IR]Sequence Adaptation via Reinforcement Learning in Recommender Systems
    Stefanos Antaris, Dimitrios Rafailidis
    http://arxiv.org/abs/2108.01442v1

    • [cs.IR]The Many Dimensions of Truthfulness: Crowdsourcing Misinformation Assessments on a Multidimensional Scale
    Michael Soprano, Kevin Roitero, David La Barbera, Davide Ceolin, Damiano Spina, Stefano Mizzaro, Gianluca Demartini
    http://arxiv.org/abs/2108.01222v1

    • [cs.IR]Understanding Human Reading Comprehension with brain signals
    Ziyi Ye, Xiaohui Xie, Yiqun Liu, Zhihong Wang, Xuesong Chen, Min Zhang, Shaoping Ma
    http://arxiv.org/abs/2108.01360v1

    • [cs.IR]Using Query Expansion in Manifold Ranking for Query-Oriented Multi-Document Summarization
    Quanye Jia, Rui Liu, Jianying Lin
    http://arxiv.org/abs/2108.01441v1

    • [cs.IR]iART: A Search Engine for Art-Historical Images to Support Research in the Humanities
    Matthias Springstein, Stefanie Schneider, Javad Rahnama, Eyke Hüllermeier, Hubertus Kohle, Ralph Ewerth
    http://arxiv.org/abs/2108.01542v1

    • [cs.IT]A Unifying Framework to Construct QC-LDPC Tanner Graphs of Desired Girth
    Roxana Smarandache, David G. M. Mitchell
    http://arxiv.org/abs/2108.01637v1

    • [cs.IT]Joint Active User Detection and Channel Estimation for Grant-Free NOMA-OTFS in LEO Constellation Internet-of-Things
    Xingyu Zhou, Zhen Gao
    http://arxiv.org/abs/2108.01520v1

    • [cs.IT]Multi-Frequency GPR Microwave Imaging of Sparse Targets Through a Multi-Task Bayesian Compressive Sensing Approach
    Marco Salucci, Nicola Anselmi
    http://arxiv.org/abs/2108.01627v1

    • [cs.IT]On the Structure of the Binary LCD Codes having an Automorphism of Odd Prime Order
    Stefka Bouyuklieva, Javier de la Cruz
    http://arxiv.org/abs/2108.01417v1

    • [cs.IT]Waveform Selection for Radar Tracking in Target Channels With Memory via Universal Learning
    Charles E. Thornton, R. Michael Buehrer, Anthony F. Martone
    http://arxiv.org/abs/2108.01181v1

    • [cs.LG]AdvRush: Searching for Adversarially Robust Neural Architectures
    Jisoo Mok, Byunggook Na, Hyeokjun Choe, Sungroh Yoon
    http://arxiv.org/abs/2108.01289v1

    • [cs.LG]Batch Normalization Preconditioning for Neural Network Training
    Susanna Lange, Kyle Helfrich, Qiang Ye
    http://arxiv.org/abs/2108.01110v1

    • [cs.LG]Controlled Deep Reinforcement Learning for Optimized Slice Placement
    Jose Jurandir Alves Esteves, Amina Boubendir, Fabrice Guillemin, Pierre Sens
    http://arxiv.org/abs/2108.01544v1

    • [cs.LG]Domain Generalization via Gradient Surgery
    Lucas Mansilla, Rodrigo Echeveste, Diego H. Milone, Enzo Ferrante
    http://arxiv.org/abs/2108.01621v1

    • [cs.LG]Fast Estimation Method for the Stability of Ensemble Feature Selectors
    Rina Onda, Zhengyan Gao, Masaaki Kotera, Kenta Oono
    http://arxiv.org/abs/2108.01485v1

    • [cs.LG]GalaxAI: Machine learning toolbox for interpretable analysis of spacecraft telemetry data
    Ana Kostovska, Matej Petkovicć, Tomaž Stepišnik, Luke Lucas, Timothy Finn, José Martínez-Heras, Panče Panov, Sašo Džeroski, Alessandro Donati, Nikola Simidjievski, Dragi Kocev
    http://arxiv.org/abs/2108.01407v1

    • [cs.LG]Geometry of Linear Convolutional Networks
    Kathlén Kohn, Thomas Merkh, Guido Montúfar, Matthew Trager
    http://arxiv.org/abs/2108.01538v1

    • [cs.LG]Grounding Representation Similarity with Statistical Testing
    Frances Ding, Jean-Stanislas Denain, Jacob Steinhardt
    http://arxiv.org/abs/2108.01661v1

    • [cs.LG]Hybrid Quantum-Classical Neural Network for Incident Detection
    Zadid Khan, Sakib Mahmud Khan, Jean Michel Tine, Ayse Turhan Comert, Diamon Rice, Gurcan Comert, Dimitra Michalaka, Judith Mwakalonge, Reek Majumdar, Mashrur Chowdhury
    http://arxiv.org/abs/2108.01127v1

    • [cs.LG]Large-Scale Differentially Private BERT
    Rohan Anil, Badih Ghazi, Vineet Gupta, Ravi Kumar, Pasin Manurangsi
    http://arxiv.org/abs/2108.01624v1

    • [cs.LG]MBDP: A Model-based Approach to Achieve both Robustness and Sample Efficiency via Double Dropout Planning
    Wanpeng Zhang, Xi Xiao, Yao Yao, Mingzhe Chen, Dijun Luo
    http://arxiv.org/abs/2108.01295v1

    • [cs.LG]Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction
    Fuyuan Lyu, Xing Tang, Huifeng Guo, Ruiming Tang, Xiuqiang He, Rui Zhang, Xue Liu
    http://arxiv.org/abs/2108.01265v1

    • [cs.LG]Metodos de Agrupamentos em dois Estagios
    Jefferson Souza, Teresa Ludermir
    http://arxiv.org/abs/2108.01123v1

    • [cs.LG]Multi-objective Recurrent Neural Networks Optimization for the Edge — a Quantization-based Approach
    Nesma M. Rezk, Tomas Nordström, Dimitrios Stathis, Zain Ul-Abdin, Eren Erdal Aksoy, Ahmed Hemani
    http://arxiv.org/abs/2108.01192v1

    • [cs.LG]Noise-Resistant Deep Metric Learning with Probabilistic Instance Filtering
    Chang Liu, Han Yu, Boyang Li, Zhiqi Shen, Zhanning Gao, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao
    http://arxiv.org/abs/2108.01431v1

    • [cs.LG]OVERT: An Algorithm for Safety Verification of Neural Network Control Policies for Nonlinear Systems
    Chelsea Sidrane, Amir Maleki, Ahmed Irfan, Mykel J. Kochenderfer
    http://arxiv.org/abs/2108.01220v1

    • [cs.LG]Process Mining Model to Predict Mortality in Paralytic Ileus Patients
    Maryam Pishgar, Martha Razo, Julian Theis, Houshang Darabi
    http://arxiv.org/abs/2108.01267v1

    • [cs.LG]Pure Exploration in Multi-armed Bandits with Graph Side Information
    Parth K. Thaker, Nikhil Rao, Mohit Malu, Gautam Dasarathy
    http://arxiv.org/abs/2108.01152v1

    • [cs.LG]Robust Compressed Sensing MRI with Deep Generative Priors
    Ajil Jalal, Marius Arvinte, Giannis Daras, Eric Price, Alexandros G. Dimakis, Jonathan I. Tamir
    http://arxiv.org/abs/2108.01368v1

    • [cs.LG]Sequoia: A Software Framework to Unify Continual Learning Research
    Fabrice Normandin, Florian Golemo, Oleksiy Ostapenko, Pau Rodriguez, Matthew D Riemer, Julio Hurtado, Khimya Khetarpal, Dominic Zhao, Ryan Lindeborg, Timothée Lesort, Laurent Charlin, Irina Rish, Massimo Caccia
    http://arxiv.org/abs/2108.01005v2

    • [cs.LG]Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training data
    Qi Zhu, Natalia Ponomareva, Jiawei Han, Bryan Perozzi
    http://arxiv.org/abs/2108.01099v1

    • [cs.LG]Solving Fashion Recommendation — The Farfetch Challenge
    Manish Pathak, Aditya Jain
    http://arxiv.org/abs/2108.01314v1

    • [cs.LG]Spectral Graph Convolutional Networks WithLifting-based Adaptive Graph Wavelets
    Mingxing Xu, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, Pascal Frossard
    http://arxiv.org/abs/2108.01660v1

    • [cs.LG]Task Agnostic Metrics for Reservoir Computing
    Jake Love, Jeroen Mulkers, George Bourianoff, Jonathan Leliaert, Karin Everschor-Sitte
    http://arxiv.org/abs/2108.01512v1

    • [cs.LG]Toward Spatially Unbiased Generative Models
    Jooyoung Choi, Jungbeom Lee, Yonghyun Jeong, Sungroh Yoon
    http://arxiv.org/abs/2108.01285v1

    • [cs.LG]Transformer-based Map Matching Model with Limited Ground-Truth Data using Transfer-Learning Approach
    Zhixiong Jin, Seongjin Choi, Hwasoo Yeo
    http://arxiv.org/abs/2108.00439v2

    • [cs.LG]Uniform Sampling over Episode Difficulty
    Sébastien M. R. Arnold, Guneet S. Dhillon, Avinash Ravichandran, Stefano Soatto
    http://arxiv.org/abs/2108.01662v1

    • [cs.LG]Variational Actor-Critic Algorithms
    Yuhua Zhu, Lexing Ying
    http://arxiv.org/abs/2108.01215v1

    • [cs.LG]Visualizing Data using GTSNE
    Songting Shi
    http://arxiv.org/abs/2108.01301v1

    • [cs.MA]Dynamic communication topologies for distributed heuristics in energy system optimization algorithms
    Stefanie Holly, Astrid Nieße
    http://arxiv.org/abs/2108.01380v1

    • [cs.MM]Fast BCH Coding for Optimal Robust Image Watermarking in DCT Domain
    Saeideh Nabipour
    http://arxiv.org/abs/2108.01612v1

    • [cs.MM]Speech2AffectiveGestures: Synthesizing Co-Speech Gestures with Generative Adversarial Affective Expression Learning
    Uttaran Bhattacharya, Elizabeth Childs, Nicholas Rewkowski, Dinesh Manocha
    http://arxiv.org/abs/2108.00262v2

    • [cs.NE]Predicting Calibration Parameter Values for Constitutive Models using Genetic Programming
    Gabriel Kronberger, Evgeniya Kabliman, Johannes Kronsteiner, Michael Kommenda
    http://arxiv.org/abs/2108.01595v1

    • [cs.RO]A Multi-Hypothesis Approach to Pose Ambiguity in Object-Based SLAM
    Jiahui Fu, Qiangqiang Huang, Kevin Doherty, Yue Wang, John J. Leonard
    http://arxiv.org/abs/2108.01225v1

    • [cs.RO]A Non-uniform Sampling Approach for Fast and Efficient Path Planning
    James P. Wilson, Zongyuan Shen, Shalabh Gupta
    http://arxiv.org/abs/2108.01291v1

    • [cs.RO]AcousticFusion: Fusing Sound Source Localization to Visual SLAM in Dynamic Environments
    Tianwei Zhang, Huayan Zhang, Xiaofei Li, Junfeng Chen, Tin Lun Lam, Sethu Vijayakumar
    http://arxiv.org/abs/2108.01246v1

    • [cs.RO]An Analysis of Human-Robot Information Streams to Inform Dynamic Autonomy Allocation
    Christopher X. Miller, Temesgen Gebrekristos, Michael Young, Enid Montague, Brenna Argall
    http://arxiv.org/abs/2108.01294v1

    • [cs.RO]CPPNet: A Coverage Path Planning Network
    Zongyuan Shen, Palash Agrawal, James P. Wilson, Ryan Harvey, Shalabh Gupta
    http://arxiv.org/abs/2108.01626v1

    • [cs.RO]Comparison of modern open-source visual SLAM approaches
    Dinar Sharafutdinov, Mark Griguletskii, Pavel Kopanev, Mikhail Kurenkov, Gonzalo Ferrer, Aleksey Burkov, Aleksei Gonnochenko, Dzmitry Tsetserukou
    http://arxiv.org/abs/2108.01654v1

    • [cs.RO]Consolidating Kinematic Models to Promote Coordinated Mobile Manipulations
    Ziyuan Jiao, Zeyu Zhan, Xin Jiang, David Han, Song-Chun Zhu, Yixin Zhu, Hangxin Liu
    http://arxiv.org/abs/2108.01264v1

    • [cs.RO]Cross-Modal Analysis of Human Detection for Robotics: An Industrial Case Study
    Timm Linder, Narunas Vaskevicius, Robert Schirmer, Kai O. Arras
    http://arxiv.org/abs/2108.01495v1

    • [cs.RO]Design and Evaluation of a Hair Combing System Using a General-Purpose Robotic Arm
    Nathaniel Dennler, Eura Shin, Maja Matarić, Stefanos Nikolaidis
    http://arxiv.org/abs/2108.01233v1

    • [cs.RO]Desk Organization: Effect of Multimodal Inputs on Spatial Relational Learning
    Ryan Rowe, Shivam Singhal, Daqing Yi, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa
    http://arxiv.org/abs/2108.01254v1

    • [cs.RO]Double-Dot Network for Antipodal Grasp Detection
    Yao Wang, Yangtao Zheng, Boyang Gao, Di Huang
    http://arxiv.org/abs/2108.01527v1

    • [cs.RO]Efficient Task Planning for Mobile Manipulation: a Virtual Kinematic Chain Perspective
    Ziyuan Jiao, Zeyu Zhang, Weiqi Wang, David Han, Song-Chun Zhu, Yixin Zhu, Hangxin Liu
    http://arxiv.org/abs/2108.01259v1

    • [cs.RO]Hierarchical Representations and Explicit Memory: Learning Effective Navigation Policies on 3D Scene Graphs using Graph Neural Networks
    Zachary Ravichandran, Lisa Peng, Nathan Hughes, J. Daniel Griffith, Luca Carlone
    http://arxiv.org/abs/2108.01176v1

    • [cs.RO]Impact Mitigation for Dynamic Legged Robots with Steel Wire Transmission Using Nonlinear Active Compliance Control
    Junjie Yang, Hao sun, Hao An, Changhong Wang
    http://arxiv.org/abs/2108.01481v1

    • [cs.RO]Interpretable Trade-offs Between Robot Task Accuracy and Compute Efficiency
    Bineet Ghosh, Sandeep Chinchali, Parasara Sridhar Duggirala
    http://arxiv.org/abs/2108.01235v1

    • [cs.RO]Non-Prehensile Manipulation of Cuboid Objects Using a Catenary Robot
    Gustavo A. Cardona, Diego S. D’Antonio, Cristian-Ioan Vasile, David Saldaña
    http://arxiv.org/abs/2108.01572v1

    • [cs.RO]ODIP: Towards Automatic Adaptation for Object Detection by Interactive Perception
    Tung-I Chen, Jen-Wei Wang, Winston H. Hsu
    http://arxiv.org/abs/2108.01477v1

    • [cs.RO]On the descriptive power of LiDAR intensity images for segment-based loop closing in 3-D SLAM
    Jan Wietrzykowski, Piotr Skrzypczyński
    http://arxiv.org/abs/2108.01383v1

    • [cs.RO]Optimization Based Collision Avoidance for Multi-Agent DynamicalSystems in Goal Reaching Task
    Adarsh Patnaik, Ashish Ranjan Hota
    http://arxiv.org/abs/2108.01320v1

    • [cs.RO]Position Control and Variable-Height Trajectory Tracking of a Soft Pneumatic Legged Robot
    Zhichao Liu, Konstantinos Karydis
    http://arxiv.org/abs/2108.01338v1

    • [cs.RO]Predictive Runtime Monitoring for Mobile Robots using Logic-Based Bayesian Intent Inference
    Hansol Yoon, Sriram Sankaranarayanan
    http://arxiv.org/abs/2108.01227v1

    • [cs.RO]Research Challenges and Progress in Robotic Grasping and Manipulation Competitions
    Yu Sun, Joe Falco, Maximo A. Roa, Berk Calli
    http://arxiv.org/abs/2108.01483v1

    • [cs.RO]SABER: Data-Driven Motion Planner for Autonomously Navigating Heterogeneous Robots
    Alexander Schperberg, Stephanie Tsuei, Stefano Soatto, Dennis Hong
    http://arxiv.org/abs/2108.01262v1

    • [cs.SD]Is Disentanglement enough? On Latent Representations for Controllable Music Generation
    Ashis Pati, Alexander Lerch
    http://arxiv.org/abs/2108.01450v1

    • [cs.SD]The Performance Evaluation of Attention-Based Neural ASR under Mixed Speech Input
    Bradley He, Martin Radfar
    http://arxiv.org/abs/2108.01245v1

    • [cs.SE]The application of artificial intelligence in software engineering: a review challenging conventional wisdom
    Feras A. Batarseh, Rasika Mohod, Abhinav Kumar, Justin Bui
    http://arxiv.org/abs/2108.01591v1

    • [cs.SI]Charting closed-loop collective cultural decisions: From book best sellers and music downloads to Twitter hashtags and Reddit comments
    Lukas Schneider, Johannes Scholten, Bulcsu Sandor, Claudius Gros
    http://arxiv.org/abs/2108.00447v2

    • [cs.SI]The history and future prospects of open data and open source software
    Feras A. Batarseh, Abhinav Kumar, Sam Eisenberg
    http://arxiv.org/abs/2108.01592v1

    • [cs.SI]fauci-email: a json digest of Anthony Fauci’s released emails
    Austin R. Benson, Nate Veldt, David F. Gleich
    http://arxiv.org/abs/2108.01239v1

    • [econ.EM]Learning Causal Relationships from Conditional Moment Conditions by Importance Weighting
    Masahiro Kato, Haruo Kakehi, Kenichiro McAlinn, Shota Yasui
    http://arxiv.org/abs/2108.01312v1

    • [eess.AS]A Study of Multilingual End-to-End Speech Recognition for Kazakh, Russian, and English
    Saida Mussakhojayeva, Yerbolat Khassanov, Huseyin Atakan Varol
    http://arxiv.org/abs/2108.01280v1

    • [eess.AS]Creation and Detection of German Voice Deepfakes
    Vanessa Barnekow, Dominik Binder, Niclas Kromrey, Pascal Munaretto, Andreas Schaad, Felix Schmieder
    http://arxiv.org/abs/2108.01469v1

    • [eess.IV]From augmented microscopy to the topological transformer: a new approach in cell image analysis for Alzheimer’s research
    Wooseok Jung
    http://arxiv.org/abs/2108.01625v1

    • [eess.IV]Image Augmentation Using a Task Guided Generative Adversarial Network for Age Estimation on Brain MRI
    Ruizhe Li, Matteo Bastiani, Dorothee Auer, Christian Wagner, Xin Chen
    http://arxiv.org/abs/2108.01659v1

    • [eess.IV]MixMicrobleedNet: segmentation of cerebral microbleeds using nnU-Net
    Hugo J. Kuijf
    http://arxiv.org/abs/2108.01389v1

    • [eess.IV]Region-wise Loss for Biomedical Image Segmentation
    Juan Miguel Valverde, Jussi Tohka
    http://arxiv.org/abs/2108.01405v1

    • [eess.IV]Two New Stenoses Detection Methods of Coronary Angiograms
    Yaofang Liu, Xinyue Zhang, Wenlong Wan, Shaoyu Liu, Yingdi Liu, Hu Liu, Xueying Zeng, Qing Zhang
    http://arxiv.org/abs/2108.01516v1

    • [eess.IV]Wavelet-Based Network For High Dynamic Range Imaging
    Tianhong Dai, Wei Li, Xilei Cao, Jianzhuang Liu, Xu Jia, Ales Leonardis, Youliang Yan, Shanxin Yuan
    http://arxiv.org/abs/2108.01434v1

    • [eess.SP]Neural Calibration for Scalable Beamforming in FDD Massive MIMO with Implicit Channel Estimation
    Yifan Ma, Yifei Shen, Xianghao Yu, Jun Zhang, S. H. Song, Khaled B. Letaief
    http://arxiv.org/abs/2108.01529v1

    • [eess.SY]Deep Reinforcement Learning Based Networked Control with Network Delays for Signal Temporal Logic Specifications
    Junya Ikemoto, Toshimitsu Ushio
    http://arxiv.org/abs/2108.01317v1

    • [eess.SY]Electrical peak demand forecasting- A review
    Shuang Dai, Fanlin Meng, Hongsheng Dai, Qian Wang, Xizhong Chen
    http://arxiv.org/abs/2108.01393v1

    • [math.DS]Persistent homology method to detect block structures in weighted networks
    Wooseok Jung
    http://arxiv.org/abs/2108.01613v1

    • [math.NA]Numerical Solution of Stiff Ordinary Differential Equations with Random Projection Neural Networks
    Evangelos Galaris, Francesco Calabrò, Daniela di Serafino, Constantinos Siettos
    http://arxiv.org/abs/2108.01584v1

    • [math.OC]A Unified Study on 今日学术视野(2021.8.5) - 图5 over 今日学术视野(2021.8.5) - 图6 Minimization
    Min Tao, Xiao-Ping Zhang
    http://arxiv.org/abs/2108.01269v1

    • [math.OC]Computing the Newton-step faster than Hessian accumulation
    Akshay Srinivasan, Emanuel Todorov
    http://arxiv.org/abs/2108.01219v1

    • [math.ST]Adaptive estimation for small diffusion processes based on sampled data
    Tetsuya Kawai, Masayuki Uchida
    http://arxiv.org/abs/2108.01397v1

    • [math.ST]Multiplicative deconvolution estimator based on a ridge approach
    Sergio Brenner Miguel
    http://arxiv.org/abs/2108.01523v1

    • [physics.comp-ph]Learning Nonlinear Waves in Plasmon-induced Transparency
    Jiaxi Cheng
    http://arxiv.org/abs/2108.01508v1

    • [physics.soc-ph]Effective Model Integration Algorithm for Improving Link and Sign Prediction in Complex Networks
    Chuang Liu, Shimin Yu, Ying Huang, Zi-Ke Zhang
    http://arxiv.org/abs/2108.01532v1

    • [physics.soc-ph]Linking the Network Centrality Measures
    Tim S. Evans, Bingsheng Chen
    http://arxiv.org/abs/2108.01149v1

    • [q-bio.NC]Representation learning for neural population activity with Neural Data Transformers
    Joel Ye, Chethan Pandarinath
    http://arxiv.org/abs/2108.01210v1

    • [q-bio.NC]Taking Cognition Seriously: A generalised physics of cognition
    Sophie Alyx Taylor, Son Cao Tran, Dan V. Nicolau Jr
    http://arxiv.org/abs/2108.01229v1

    • [quant-ph]Hybrid Classical-Quantum Deep Learning Models for Autonomous Vehicle Traffic Image Classification Under Adversarial Attack
    Reek Majumder, Sakib Mahmud Khan, Fahim Ahmed, Zadid Khan, Frank Ngeni, Gurcan Comert, Judith Mwakalonge, Dimitra Michalaka, Mashrur Chowdhury
    http://arxiv.org/abs/2108.01125v1

    • [quant-ph]Quantum Neural Networks: Concepts, Applications, and Challenges
    Yunseok Kwak, Won Joon Yun, Soyi Jung, Joongheon Kim
    http://arxiv.org/abs/2108.01468v1

    • [stat.AP]Bayesian spectral density approach for identification and uncertainty quantification of bridge section’s flutter derivatives operated in turbulent flow
    Xiaolei Chu, Wei Cui, Peng Liu, Lin Zhao, Yaojun Ge
    http://arxiv.org/abs/2108.01494v1

    • [stat.AP]Dynamic modeling of the Italians’ attitude towards Covid-19
    Emanuele Aliverti, Massimilano Russo
    http://arxiv.org/abs/2108.01194v1

    • [stat.AP]Linking Sap Flow Measurements with Earth Observations
    Enrico Tomelleri, Giustino Tonon
    http://arxiv.org/abs/2108.01290v1

    • [stat.ME]Distributed Inference for Tail Empirical and Quantile Processes
    Liujun Chen, Deyuan Li, Chen Zhou
    http://arxiv.org/abs/2108.01327v1

    • [stat.ME]High-dimensional changepoint estimation with heterogeneous missingness
    Bertille Follain, Tengyao Wang, Richard J. Samworth
    http://arxiv.org/abs/2108.01525v1

    • [stat.ME]Interim Monitoring in Sequential Multiple Assignment Randomized Trials
    Liwen Wu, Junyao Wang, Abdus S. Wahed
    http://arxiv.org/abs/2108.01155v1

    • [stat.ME]MCEM and SAEM Algorithms for Geostatistical Models under Preferential Sampling
    Douglas Mateus da Silva, Lourdes C. Contreras Montenegro
    http://arxiv.org/abs/2108.01510v1

    • [stat.ME]Maximum weighted likelihood estimator for robust heavy-tail modelling of finite mixture models
    Tsz Chai Fung
    http://arxiv.org/abs/2108.01356v1

    • [stat.ME]Optimal Covariate Balancing Conditions in Propensity Score Estimation
    Jianqing Fan, Kosuke Imai, Inbeom Lee, Han Liu, Yang Ning, Xiaolin Yang
    http://arxiv.org/abs/2108.01255v1

    • [stat.ME]Some results on maximum likelihood estimation under the EM algorithm: Asymptotic properties and consistent sandwich estimator of covariance matrix
    Budhi Surya
    http://arxiv.org/abs/2108.01243v1