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]: 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 over 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]: 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 over 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