cs.AI - 人工智能
cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.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.NI - 网络和互联网体系结构 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.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 q-bio.PE - 人口与发展 quant-ph - 量子物理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cs.AI]Improving Competence for Reliable Autonomy
• [cs.AI]Psychological, Computational and Robotic Models of Time Perception
• [cs.AI]The societal and ethical relevance of computational creativity
• [cs.CL]AI4D — African Language Dataset Challenge
• [cs.CL]Analogical Reasoning for Visually Grounded Language Acquisition
• [cs.CL]Applying GPGPU to Recurrent Neural Network Language Model based Fast Network Search in the Real-Time LVCSR
• [cs.CL]Better Early than Late: Fusing Topics with Word Embeddings for Neural Question Paraphrase Identification
• [cs.CL]Curriculum Vitae Recommendation Based on Text Mining
• [cs.CL]Deep Learning based, end-to-end metaphor detection in Greek language with Recurrent and Convolutional Neural Networks
• [cs.CL]Effects of Language Relatedness for Cross-lingual Transfer Learning in Character-Based Language Models
• [cs.CL]HCMS at SemEval-2020 Task 9: A Neural Approach to Sentiment Analysis for Code-Mixed Texts
• [cs.CL]Health, Psychosocial, and Social issues emanating from COVID-19 pandemic based on Social Media Comments using Natural Language Processing
• [cs.CL]Massive Multi-Document Summarization of Product Reviews with Weak Supervision
• [cs.CL]NITS-Hinglish-SentiMix at SemEval-2020 Task 9: Sentiment Analysis For Code-Mixed Social Media Text
• [cs.CL]Product Title Generation for Conversational Systems using BERT
• [cs.CL]To Be or Not To Be a Verbal Multiword Expression: A Quest for Discriminating Features
• [cs.CR]PhishZip: A New Compression-based Algorithm for Detecting Phishing Websites
• [cs.CR]Privacy-preserving Artificial Intelligence Techniques in Biomedicine
• [cs.CR]Towards Secure and Usable Authentication for Augmented and Virtual Reality Head-Mounted Displays
• [cs.CV]A Solution to Product detection in Densely Packed Scenes
• [cs.CV]A Study on Evaluation Standard for Automatic Crack Detection Regard the Random Fractal
• [cs.CV]Accurate RGB-D Salient Object Detection via Collaborative Learning
• [cs.CV]All at Once: Temporally Adaptive Multi-Frame Interpolation with Advanced Motion Modeling
• [cs.CV]Attention based Multiple Instance Learning for Classification of Blood Cell Disorders
• [cs.CV]AttentionNAS: Spatiotemporal Attention Cell Search for Video Classification
• [cs.CV]Autonomous Removal of Perspective Distortion based on Detection Results of Robotic Elevator Button Corner
• [cs.CV]BSL-1K: Scaling up co-articulated sign language recognition using mouthing cues
• [cs.CV]CAD-Deform: Deformable Fitting of CAD Models to 3D Scans
• [cs.CV]CNN+RNN Depth and Skeleton based Dynamic Hand Gesture Recognition
• [cs.CV]Cloud Transformers
• [cs.CV]Comprehensive Image Captioning via Scene Graph Decomposition
• [cs.CV]Contact and Human Dynamics from Monocular Video
• [cs.CV]CrossTransformers: spatially-aware few-shot transfer
• [cs.CV]CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending
• [cs.CV]Differentiable Hierarchical Graph Grouping for Multi-Person Pose Estimation
• [cs.CV]Dog Identification using Soft Biometrics and Neural Networks
• [cs.CV]End-to-End Optimization of Scene Layout
• [cs.CV]End-to-End Trainable Deep Active Contour Models for Automated Image Segmentation: Delineating Buildings in Aerial Imagery
• [cs.CV]End-to-end Learning of Compressible Features
• [cs.CV]Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild
• [cs.CV]Funnel Activation for Visual Recognition
• [cs.CV]Garment Design with Generative Adversarial Networks
• [cs.CV]HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matching
• [cs.CV]Harnessing spatial homogeneity of neuroimaging data: patch individual filter layers for CNNs
• [cs.CV]History Repeats Itself: Human Motion Prediction via Motion Attention
• [cs.CV]Illumination invariant hyperspectral image unmixing based on a digital surface model
• [cs.CV]Implicit Latent Variable Model for Scene-Consistent Motion Forecasting
• [cs.CV]Integrating Image Captioning with Rule-based Entity Masking
• [cs.CV]Leveraging Bottom-Up and Top-Down Attention for Few-Shot Object Detection
• [cs.CV]MuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution
• [cs.CV]Multi-Metric Evaluation of Thermal-to-Visual Face Recognition
• [cs.CV]Neural Geometric Parser for Single Image Camera Calibration
• [cs.CV]PP-YOLO: An Effective and Efficient Implementation of Object Detector
• [cs.CV]Pixel-Pair Occlusion Relationship Map(P2ORM): Formulation, Inference & Application
• [cs.CV]Polylidar3D — Fast Polygon Extraction from 3D Data
• [cs.CV]ReLaB: Reliable Label Bootstrapping for Semi-Supervised Learning
• [cs.CV]Real-time CNN-based Segmentation Architecture for Ball Detection in a Single View Setup
• [cs.CV]Representation Sharing for Fast Object Detector Search and Beyond
• [cs.CV]Right for the Right Reason: Making Image Classification Robust
• [cs.CV]SBAT: Video Captioning with Sparse Boundary-Aware Transformer
• [cs.CV]SIZER: A Dataset and Model for Parsing 3D Clothing and Learning Size Sensitive 3D Clothing
• [cs.CV]Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval
• [cs.CV]Sound2Sight: Generating Visual Dynamics from Sound and Context
• [cs.CV]Spatially Aware Multimodal Transformers for TextVQA
• [cs.CV]TSIT: A Simple and Versatile Framework for Image-to-Image Translation
• [cs.CV]The Devil is in Classification: A Simple Framework for Long-tail Instance Segmentation
• [cs.CV]Threat of Adversarial Attacks on Face Recognition: A Comprehensive Survey
• [cs.CV]Tiny Transfer Learning: Towards Memory-Efficient On-Device Learning
• [cs.CV]Unsupervised Deep Representation Learning for Real-Time Tracking
• [cs.CV]Weakly Supervised 3D Object Detection from Lidar Point Cloud
• [cs.CV]WeightNet: Revisiting the Design Space of Weight Networks
• [cs.CV]Whole-Body Human Pose Estimation in the Wild
• [cs.CV]Zero-Shot Recognition through Image-Guided Semantic Classification
• [cs.CY]1000
Diagnostic Questions:The NeurIPS 2020 Education Challenge
• [cs.DB]R*-Grove: Balanced Spatial Partitioning for Large-scale Datasets
• [cs.DC]Event-based Detection of Changes in IaaS Performance Signatures
• [cs.DS]Faster algorithms for sampling connected induced subgraphs
• [cs.IR]Assessing top-$k$ preferences
• [cs.IR]Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems
• [cs.IR]Detecting Quality Problems in Research Data: A Model-Driven Approach
• [cs.IR]FedCTR: Federated Native Ad CTR Prediction with Multi-Platform User Behavior Data
• [cs.IR]Providing early indication of regional anomalies in COVID19 case counts in England using search engine queries
• [cs.IT]Cooperative Interference Management for Over-the-Air Computation Networks
• [cs.IT]Deep Learning Based Equalizer for MIMO-OFDM Systems with Insufficient Cyclic Prefix
• [cs.IT]Improving distribution and flexible quantization for DCT coefficients
• [cs.IT]Sifting Convolution on the Sphere
• [cs.LG]ADER: Adaptively Distilled Exemplar Replay Towards Continual Learning for Session-based Recommendation
• [cs.LG]Adversarial Training Reduces Information and Improves Transferability
• [cs.LG]Approximation Benefits of Policy Gradient Methods with Aggregated States
• [cs.LG]Breaking the Communication-Privacy-Accuracy Trilemma
• [cs.LG]Bridging the Imitation Gap by Adaptive Insubordination
• [cs.LG]Clinical Recommender System: Predicting Medical Specialty Diagnostic Choices with Neural Network Ensembles
• [cs.LG]DBS: Dynamic Batch Size For Distributed Deep Neural Network Training
• [cs.LG]Deep Active Learning by Model Interpretability
• [cs.LG]Discovering Traveling Companions using Autoencoders
• [cs.LG]Efficient Evaluation of the Partition Function of RBMs with Annealed Importance Sampling
• [cs.LG]Evolving Multi-label Classification Rules by Exploiting High-order Label Correlation
• [cs.LG]Few-shot Visual Reasoning with Meta-analogical Contrastive Learning
• [cs.LG]Frank-Wolfe Optimization for Dominant Set Clustering
• [cs.LG]Grale: Designing Networks for Graph Learning
• [cs.LG]Hide-and-Seek Privacy Challenge
• [cs.LG]Hierarchical Verification for Adversarial Robustness
• [cs.LG]Learning Differentiable Programs with Admissible Neural Heuristics
• [cs.LG]Learning Infinite-horizon Average-reward MDPs with Linear Function Approximation
• [cs.LG]METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data Streams
• [cs.LG]Multi-Compartment Variational Online Learning for Spiking Neural Networks
• [cs.LG]Online Boosting with Bandit Feedback
• [cs.LG]Optimal Transport using GANs for Lineage Tracing
• [cs.LG]PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic Programming
• [cs.LG]PareCO: Pareto-aware Channel Optimization for Slimmable Neural Networks
• [cs.LG]Private Post-GAN Boosting
• [cs.LG]Robust Machine Learning via Privacy/Rate-Distortion Theory
• [cs.LG]Scalable Inference of Symbolic Adversarial Examples
• [cs.LG]Scalable Initialization Methods for Large-Scale Clustering
• [cs.LG]Shape-CD: Change-Point Detection in Time-Series Data with Shapes and Neurons
• [cs.LG]Signal Enhancement for Magnetic Navigation Challenge Problem
• [cs.LG]The expressive power of kth-order invariant graph networks
• [cs.LG]Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing
• [cs.LG]Word Representation for Rhythms
• [cs.MA]Adaptable and Verifiable BDI Reasoning
• [cs.MA]Exploratory Experiments on Programming Autonomous Robots in Jadescript
• [cs.MM]Subjective and Objective Quality Assessment of High Frame Rate Videos
• [cs.NE]Revisiting Locality in Binary-Integer Representations
• [cs.NI]Characterization and Identification of Cloudified Mobile Network Performance Bottlenecks
• [cs.RO]Co-Simulation of Human-Robot Collaboration: from Temporal Logic to 3D Simulation
• [cs.RO]Deep Reinforcement Learning based Automatic Exploration for Navigation in Unknown Environment
• [cs.RO]Enhanced Transfer Learning for Autonomous Driving with Systematic Accident Simulation
• [cs.RO]Establishing Reliable Robot Behavior using Capability Analysis Tables
• [cs.RO]High Precision Real Time Collision Detection
• [cs.RO]Learning User-Preferred Mappings for Intuitive Robot Control
• [cs.RO]ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
• [cs.RO]Receding Horizon Control Based Online Motion Planning with Partially Infeasible LTL Specifications
• [cs.RO]Robust Control Synthesis and Verification for Wire-Borne Underactuated Brachiating Robots Using Sum-of-Squares Optimization
• [cs.RO]Statistical Model Checking of Human-Robot Interaction Scenarios
• [cs.RO]Understanding Multi-Modal Perception Using Behavioral Cloning for Peg-In-a-Hole Insertion Tasks
• [cs.SD]Augmentation adversarial training for unsupervised speaker recognition
• [cs.SE]A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective
• [cs.SI]A Privacy-Preserving Architecture for the Protection of Adolescents in Online Social Networks
• [cs.SI]A comparative analysis of knowledge acquisition performance in complex networks
• [cs.SI]Bot Development for Social Engineering Attacks on Twitter
• [cs.SI]Clustering of Social Media Messages for Humanitarian Aid Response during Crisis
• [cs.SI]Revealing semantic and emotional structure of suicide notes with cognitive network science
• [econ.EM]Deep Dynamic Factor Models
• [eess.AS]A Transfer Learning End-to-End ArabicText-To-Speech (TTS) Deep Architecture
• [eess.AS]Sequential Routing Framework: Fully Capsule Network-based Speech Recognition
• [eess.AS]Version Control of Speaker Recognition Systems
• [eess.IV]A Computation-Efficient CNN System for High-Quality Brain Tumor Segmentation
• [eess.IV]A weakly supervised registration-based framework for prostate segmentation via the combination of statistical shape model and CNN
• [eess.IV]CVR-Net: A deep convolutional neural network for coronavirus recognition from chest radiography images
• [eess.IV]Darwin’s Neural Network: AI-based Strategies for Rapid and Scalable Cell and Coronavirus Screening
• [eess.IV]Deep Learning Based Segmentation of Various Brain Lesions for Radiosurgery
• [eess.IV]Guided Deep Decoder: Unsupervised Image Pair Fusion
• [eess.IV]Multi-modality imaging with structure-promoting regularisers
• [eess.IV]PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration
• [eess.IV]Regularization of Building Boundaries in Satellite Images using Adversarial and Regularized Losses
• [eess.SP]A Non-Intrusive Load Monitoring Approach for Very Short Term Power Predictions in Commercial Buildings
• [eess.SP]Federated Learning in the Sky: Aerial-Ground Air Quality Sensing Framework with UAV Swarms
• [eess.SY]Dynamic residential load scheduling based on an adaptive consumption level pricing scheme
• [eess.SY]Safety-Critical Model Predictive Control with Discrete-Time Control Barrier Function
• [math.OC]Dimension reduction in recurrent networks by canonicalization
• [math.ST]Batch Policy Learning in Average Reward Markov Decision Processes
• [math.ST]Discrete-time inference for slow-fast s
5c3e
ystems driven by fractional Brownian motion
• [math.ST]Minimax-robust forecasting of sequences with periodically stationary long memory multiple seasonal increments
• [math.ST]Nonparametric Tests in Linear Model with Autoregressive Errors
• [math.ST]Sensor Clusterization in D-optimal Design in Infinite Dimensional Bayesian Inverse Problems
• [math.ST]Tail inference for high-dimensional data
• [math.ST]The Complete Lasso Tradeoff Diagram
• [physics.comp-ph]Latent-space time evolution of non-intrusive reduced-order models using Gaussian process emulation
• [physics.soc-ph]The impact of small changes in thoroughfare connectivity on the potential for student walking
• [q-bio.NC]Body sway responses to pseudorandom support surface translations of vestibular loss subjects resemble those of vestibular able subjects
• [q-bio.PE]Anti-clustering in the national SARS-CoV-2 daily infection counts
• [quant-ph]Quantum differentially private sparse regression learning
• [stat.AP]A Copula-based Fully Bayesian Nonparametric Evaluation of Cardiovascular Risk Markers in the Mexico City Diabetes Study
• [stat.AP]Causal analysis of Covid-19 spread in Germany
• [stat.CO]An invitation to sequential Monte Carlo samplers
• [stat.ME]A binary-response regression model based on support vector machines
• [stat.ME]An evaluation framework for personalization strategy experiment designs
• [stat.ME]Backfitting for large scale crossed random effects regressions
• [stat.ME]Modeling Sums of Exchangeable Binary Variables
• [stat.ME]The r-largest four parameter kappa distribution
• [stat.ML]A Novel Framework for Spatio-Temporal Prediction of Climate Data Using Deep Learning
• [stat.ML]Challenging common bolus advisor for self-monitoring type-I diabetes patients using Reinforcement Learning
• [stat.ML]Convergence Analysis of Langevin Monte Carlo in Chi-Square Divergence
• [stat.ML]DeepKriging: Spatially Dependent Deep Neural Networks for Spatial Prediction
• [stat.ML]Disentangling the Gauss-Newton Method and Approximate Inference for Neural Networks
• [stat.ML]Nonclosedness of the Set of Neural Networks in Sobolev Space
• [stat.ML]On a Bernoulli Autoregression Framework for Link Discovery and Prediction
• [stat.ML]Online Robust and Adaptive Learning from Data Streams
·····································
• [cs.AI]Improving Competence for Reliable Autonomy
Connor Basich, Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Shlomo Zilberstein
http://arxiv.org/abs/2007.11740v1
• [cs.AI]Psychological, Computational and Robotic Models of Time Perception
Hamit Basgol, Inci Ayhan, Emre Ugur
http://arxiv.org/abs/2007.11845v1
• [cs.AI]The societal and ethical relevance of computational creativity
Michele Loi, Eleonora Viganò, Lonneke van der Plas
http://arxiv.org/abs/2007.11973v1
• [cs.CL]AI4D — African Language Dataset Challenge
Kathleen Siminyu, Sa
4000
ckey Freshia, Jade Abbott, Vukosi Marivate
http://arxiv.org/abs/2007.11865v1
• [cs.CL]Analogical Reasoning for Visually Grounded Language Acquisition
Bo Wu, Haoyu Qin, Alireza Zareian, Carl Vondrick, Shih-Fu Chang
http://arxiv.org/abs/2007.11668v1
• [cs.CL]Applying GPGPU to Recurrent Neural Network Language Model based Fast Network Search in the Real-Time LVCSR
Kyungmin Lee, Chiyoun Park, Ilhwan Kim, Namhoon Kim, Jaewon Lee
http://arxiv.org/abs/2007.11794v1
• [cs.CL]Better Early than Late: Fusing Topics with Word Embeddings for Neural Question Paraphrase Identification
Nicole Peinelt, Dong Nguyen, Maria Liakata
http://arxiv.org/abs/2007.11314v1
• [cs.CL]Curriculum Vitae Recommendation Based on Text Mining
Honorio Apaza Alanoca, Americo A. Rubin de Celis Vidal, Josimar Edinson Chire Saire
http://arxiv.org/abs/2007.11053v1
• [cs.CL]Deep Learning based, end-to-end metaphor detection in Greek language with Recurrent and Convolutional Neural Networks
Konstantinos Perifanos, Eirini Florou, Dionysis Goutsos
http://arxiv.org/abs/2007.11949v1
• [cs.CL]Effects of Language Relatedness for Cross-lingual Transfer Learning in Character-Based Language Models
Mittul Singh, Peter Smit, Sami Virpioja, Mikko Kurimo
http://arxiv.org/abs/2007.11648v1
• [cs.CL]HCMS at SemEval-2020 Task 9: A Neural Approach to Sentiment Analysis for Code-Mixed Texts
Aditya Srivastava, V. Harsha Vardhan
http://arxiv.org/abs/2007.12076v1
• [cs.CL]Health, Psychosocial, and Social issues emanating from COVID-19 pandemic based on Social Media Comments using Natural Language Processing
Oladapo Oyebode, Chinenye Ndulue, Ashfaq Adib, Dinesh Mulchandani, Banuchitra Suruliraj, Fidelia Anulika Orji, Christine Chambers, Sandra Meier, Rita Orji
http://arxiv.org/abs/2007.12144v1
• [cs.CL]Massive Multi-Document Summarization of Product Reviews with Weak Supervision
Ori Shapira, Ran Levy
http://arxiv.org/abs/2007.11348v1
• [cs.CL]NITS-Hinglish-SentiMix at SemEval-2020 Task 9: Sentiment Analysis For Code-Mixed Social Media Text
Subhra Jyoti Baroi, Nivedita Singh, Ringki Das, Thoudam Doren Singh
http://arxiv.org/abs/2007.12081v1
• [cs.CL]Product Title Generation for Conversational Systems using BERT
Mansi Ranjit Mane, Shashank Kedia, Aditya Mantha, Stephen Guo, Kannan Achan
http://arxiv.org/abs/2007.11768v1
• [cs.CL]To Be or Not To Be a Verbal Multiword Expression: A Quest for Discriminating Features
Caroline Pasquer, Agata Savary, Jean-Yves Antoine, Carlos Ramisch, Nicolas Labroche, Arnaud Giacometti
http://arxiv.org/abs/2007.11381v1
• [cs.CR]PhishZip: A New Compression-based Algorithm for Detecting Phishing Websites
Rizka Purwanto, Arindam Pal, Alan Blair, Sanjay Jha
http://arxiv.org/abs/2007.11955v1
• [cs.CR]Privacy-preserving Artificial Intelligence Techniques in Biomedicine
Reihaneh Torkzadehmahani, Reza Nasirigerdeh, David B. Blumenthal, Tim Kacprowski, Markus L
1886
ist, Julian Matschinske, Julian Späth, Nina Kerstin Wenke, Béla Bihari, Tobias Frisch, Anne Hartebrodt, Anne-Christin Hausschild, Dominik Heider, Andreas Holzinger, Walter Hötzendorfer, Markus Kastelitz, Rudolf Mayer, Cristian Nogales, Anastasia Pustozerova, Richard Röttger, Harald H. H. W. Schmidt, Ameli Schwalber, Christof Tschohl, Andrea Wohner, Jan Baumbach
http://arxiv.org/abs/2007.11621v1
• [cs.CR]Towards Secure and Usable Authentication for Augmented and Virtual Reality Head-Mounted Displays
Reyhan Duezguen, Peter Mayer, Sanchari Das, Melanie Volkamer
http://arxiv.org/abs/2007.11663v1
• [cs.CV]A Solution to Product detection in Densely Packed Scenes
Tianze Rong, Yanjia Zhu, Yichao Xiong, Hongxiang Cai
http://arxiv.org/abs/2007.11946v1
• [cs.CV]A Study on Evaluation Standard for Automatic Crack Detection Regard the Random Fractal
Hongyu Li, Jihe Wang, Yu Zhang, Zirui Wang, Tiejun Wang
http://arxiv.org/abs/2007.12082v1
• [cs.CV]Accurate RGB-D Salient Object Detection via Collaborative Learning
Wei Ji, Jingjing Li, Miao Zhang, Yongri Piao, Huchuan Lu
http://arxiv.org/abs/2007.11782v1
• [cs.CV]All at Once: Temporally Adaptive Multi-Frame Interpolation with Advanced Motion Modeling
Zhixiang Chi, Rasoul Mohammadi Nasiri, Zheng Liu, Juwei Lu, Jin Tang, Konstantinos N Plataniotis
http://arxiv.org/abs/2007.11762v1
• [cs.CV]Attention based Multiple Instance Learning for Classification of Blood Cell Disorders
Ario Sadafi, Asya Makhro, Anna Bogdanova, Nassir Navab, Tingying Peng, Shadi Albarqouni, Carsten Marr
http://arxiv.org/abs/2007.11641v1
• [cs.CV]AttentionNAS: Spatiotemporal Attention Cell Search for Video Classification
Xiaofang Wang, Xuehan Xiong, Maxim Neumann, AJ Piergiovanni, Michael S. Ryoo, Anelia Angelova, Kris M. Kitani, Wei Hua
http://arxiv.org/abs/2007.12034v1
• [cs.CV]Autonomous Removal of Perspective Distortion based on Detection Results of Robotic Elevator Button Corner
Nachuan Ma
http://arxiv.org/abs/2007.11806v1
• [cs.CV]BSL-1K: Scaling up co-articulated sign language recognition using mouthing cues
Samuel Albanie, Gül Varol, Liliane Momeni, Triantafyllos Afouras, Joon Son Chung, Neil Fox, Andrew Zisserman
http://arxiv.org/abs/2007.12131v1
• [cs.CV]CAD-Deform: Deformable Fitting of CAD Models to 3D Scans
Vladislav Ishimtsev, Alexey Bokhovkin, Alexey Artemov, Savva Ignatyev, Matthias Niessner, Denis Zorin, Evgeny Burnaev
http://arxiv.org/abs/2007.11965v1
• [cs.CV]CNN+RNN Depth and Skeleton based Dynamic Hand Gesture Recognition
Kenneth Lai, Svetlana N. Yanushkevich
http://arxiv.org/abs/2007.11983v1
• [cs.CV]Cloud Transformers
Kirill Mazur, Victor Lempitsky
http://arxiv.org/abs/2007.11679v1
• [cs.CV]Comprehensive Image Captioning via Scene Graph Decomposition
Yiwu Zhong, Liwei Wang, Jianshu Chen, Dong Yu, Yin Li
http://arxiv.org/abs/2007.11731v1
• [cs.CV]Contact and Human Dynamics from Monocular Video
Davis Rempe, Leonidas J. Guibas, Aaron Hertzmann, Bryan Russell, Ruben Villegas, Jimei Yang
http://arxiv.org/abs/2007.11678v1
• [cs.CV]CrossTransformers: spatially-aware few-shot transfer
Carl Doersch, Ankush Gupta, Andrew Zisserman
http://arxiv.org/abs/2007.11498v2
• [cs.CV]CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending
Hang Xu, Shaoju Wang, Xinyue Cai, Wei Zhang, Xiaodan Liang, Zhenguo Li
http://arxiv.org/abs/2007.12147v1
• [cs.CV]Differentiable Hierarchical Graph Grouping for Multi-Person Pose Estimation
Sheng Jin, Wentao Liu, Enze Xie, Wenhai Wang, Chen Qian, Wanli Ouyang, Ping Luo
http://arxiv.org/abs/2007.11864v1
• [cs.CV]Dog Identification using Soft Biometrics and Neural Networks
Kenneth Lai, Xinyuan Tu, Svetlana Yanushkevich
http://arxiv.org/abs/2007.11986v1
• [cs.CV]End-to-End Optimization of Scene Layout
Andrew Luo, Zhoutong Zhang, Jiajun Wu, Joshua B. Tenenbaum
http://arxiv.org/abs/2007.11744v1
• [cs.CV]End-to-End Trainable Deep Active Contour Models for Automated Image Segmentation: Delineating Buildings in Aerial Imagery
Ali Hatamizadeh, Debleena Sengupta, Demetri Terzopoulos
http://arxiv.org/abs/2007.11691v1
• [cs.CV]End-to-end Learning of Compressible Features
Saurabh Singh, Sami Abu-El-Haija, Nick Johnston, Johannes Ballé, Abhinav Shrivastava, George Toderici
http://arxiv.org/abs/2007.11797v1
• [cs.CV]Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild
Yang Xiao, Renaud Marlet
http://arxiv.org/abs/2007.12107v1
• [cs.CV]Funnel Activation for Visual Recognition
Ningning Ma, Xiangyu Zhang, Jian Sun
http://arxiv.org/abs/2007.11824v1
• [cs.CV]Garment Design with Generative Adversarial Networks
Chenxi Yuan, Mohsen Moghaddam
http://arxiv.org/abs/2007.10947v2
• [cs.CV]HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matching
Vladimir Tankovich, Christian Häne, Sean Fanello, Yinda Zhang, Shahram Izadi, Sofien Bouaziz
http://arxiv.org/abs/2007.12140v1
• [cs.CV]Harnessing spatial homogeneity of neuroimaging data: patch individual filter layers for CNNs
Fabian Eitel, Jan Philipp Albrecht, Martin Weygandt, Friedemann Paul, Kerstin Ritter
http://arxiv.org/abs/2007.11899v1
• [cs.CV]History Repeats Itself: Human Motion Prediction via Motion Attention
Wei Mao, Miaomiao Liu, Mathieu Salzmann
http://arxiv.org/abs/2007.11755v1
• [cs.CV]Illumination invariant hyperspectral image unmixing based on a digital surface model
Tatsumi Uezato, Naoto Yokoya, Wei He
http://arxiv.org/abs/2007.11770v1
• [cs.CV]Implicit Latent Variable Model for Scene-Consistent Motion Forecasting
Sergio Casas, Cole Gulino, Simon Suo, Katie Luo, Renjie Liao, Raquel Urtasun
http://arxiv.org/abs/2007.12036v1
• [cs.CV]Integrating Image Captioning with Rule-based Entity Masking
Aditya Mogadala, Xiaoyu Shen, Dietrich Klakow
http://arxiv.org/abs/2007.11690v1
• [cs.CV]Leveraging Bottom-Up and Top-Down Attention for Few-Shot Object Detection
Xianyu Chen, Ming Jiang, Qi Zhao
http://arxiv.org/abs/2007.12104v1
• [cs.CV]MuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution
Wenbo Li, Xin Tao, Taian Guo, Lu Qi, Jiangbo Lu, Jiaya Jia
http://arxiv.org/abs/2007.11803v1
• [cs.CV]Multi-Metric Evaluation of Thermal-to-Visual Face Recognition
Kenneth Lai, Svetlana N. Yanushkevich
http://arxiv.org/abs/2007.11987v1
• [cs.CV]Neural Geometric Parser for Single Image Camera Calibration
Jinwoo Lee, Minhyuk Sung, Hyunjoon Lee, Junho Kim
http://arxiv.org/abs/2007.11855v1
• [cs.CV]PP-YOLO: An Effective and Efficient Implementation of Object Detector
Xiang Long, Kaipeng Deng, Guanzhong Wang, Yang Zhang, Qingqing Dang, Yuan Gao, Hui Shen, Jianguo Ren, Shumin Han, Errui Ding, Shilei Wen
http://arxiv.org/abs/2007.12099v1
• [cs.CV]Pixel-Pair Occlusion Relationship Map(P2ORM): Formulation, Inference & Application
Xuchong Qiu, Yang Xiao, Chaohui Wang, Renaud Marlet
http://arxiv.org/abs/2007.12088v1
• [cs.CV]Polylidar3D — Fast Polygon Extraction from 3D Data
Jeremy Castagno, Ella Atkins
http://arxiv.org/abs/2007.12065v1
• [cs.CV]ReLaB: Reliable Label Bootstrapping for Semi-Supervised Learning
Paul Albert, Diego Ortego, Eric Arazo, Noel E. O’Connor, Kevin McGuinness
http://arxiv.org/abs/2007.11866v1
• [cs.CV]Real-time CNN-based Segmentation Architecture for Ball Detection in a Single View Setup
Gabriel Van Zandycke, Christophe De Vleeschouwer
http://arxiv.org/abs/2007.11876v1
• [cs.CV]Representation Sharing for Fast Object Detector Search and Beyond
Yujie Zhong, Zelu Deng, Sheng Guo, Matthew R. Scott, Weilin Huang
http://arxiv.org/abs/2007.12075v1
• [cs.CV]Right for the Right Reason: Making Image Classification Robust
Anna Nguyen, Adrian Oberföll, Michael Färber
http://arxiv.org/abs/2007.11924v1
• [cs.CV]SBAT: Video Captioning with Sparse Boundary-Aware Transformer
Tao Jin, Siyu Huang, Ming Chen, Yingming Li, Zhongfei Zhang
http://arxiv.org/abs/2007.11888v1
• [cs.CV]SIZER: A Dataset and Model for Parsing 3D Clothing and Learning Size Sensitive 3D Clothing
Garvita Tiwari, Bharat Lal Bhatnagar, Tony Tung, Gerard Pons-Moll
http://arxiv.org/abs/2007.11610v1
• [cs.CV]Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval
Andrew Brown, Weidi Xie, Vicky Kalogeiton, Andrew Zisserman
http://arxiv.org/abs/2007.12163v1
• [cs.CV]Sound2Sight: Generating Visual Dynamics from Sound and Context
Anoop Cherian, Moitreya Chatterjee, Narendra Ahuja
http://arxiv.org/abs/2007.12130v1
• [cs.CV]Spatially Aware Multimodal Transformers for TextVQA
Yash Kant, Dhruv Batra, Peter Anderson, Alex Schwing, Devi Parikh, Jiasen Lu, Harsh Agrawal
http://arxiv.org/abs/2007.12146v1
• [cs.CV]TSIT: A Simple and Versatile Framework for Image-to-Image Translation
Liming Jiang, Changxu Zhang, Mingyang Huang, Chunxiao Liu, Jianping Shi, Chen Change Loy
http://arxiv.org/abs/2007.12072v1
• [cs.CV]The Devil is in Classification: A Simple Framework for Long-tail Instance Segmentation
Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Junhao Liew, Sheng Tang, Steven Hoi, Jiashi Feng
http://arxiv.org/abs/2007.11978v1
• [cs.CV]Threat of Adversarial Attacks on Face Recognition: A Comprehensive Survey
Fatemeh Vakhshiteh, Raghavendra Ramachandra, Ahmad Nickabadi
http://arxiv.org/abs/2007.11709v1
• [cs.CV]Tiny Transfer Learning: Towards Memory-Efficient On-Device Learning
Han Cai, Chuang Gan, Ligeng Zhu, Song Han
http://arxiv.org/abs/2007.11622v1
• [cs.CV]Unsupervised Deep Representation Learning for Real-Time Tracking
Ning Wang, Wengang Zhou, Yibing Song, Chao Ma, Wei Liu, Houqiang Li
http://arxiv.org/abs/2007.11984v1
• [cs.CV]Weakly Supervised 3D Object Detection from Lidar Point Cloud
Qinghao Meng, Wenguan Wang, Tianfei Zhou, Jianbing Shen, Luc Van Gool, Dengxin Dai
http://arxiv.org/abs/2007.11901v1
• [cs.CV]WeightNet: Revisiting the Design Space of Weight Networks
Ningning Ma, Xiangyu Zhang, Jiawei Huang, Jian Sun
http://arxiv.org/abs/2007.11823v1
• [cs.CV]Whole-Body Human Pose Estimation in the Wild
Sheng Jin, Lumin Xu, Jin Xu, Can Wang, Wentao Liu, Chen Qian, Wanli Ouyang, Ping Luo
http://arxiv.org/abs/2007.11858v1
• [cs.CV]Zero-Shot Recognition through Image-Guided Semantic Classification
Mei-Chen Yeh, Fang Li
http://arxiv.org/abs/2007.11814v1
• [cs.CY]1000
Diagnostic Questions:The NeurIPS 2020 Education Challenge
Zichao Wang, Angus Lamb, Evgeny Saveliev, Pashmina Cameron, Yordan Zaykov, José Miguel Hernández-Lobato, Richard E. Turner, Richard G. Baraniuk, Craig Barton, Simon Peyton Jones, Simon Woodhead, Cheng Zhang
http://arxiv.org/abs/2007.12061v1
• [cs.DB]**R-Grove: Balanced Spatial Partitioning for Large-scale Datasets
Tin Vu, Ahmed Eldawy
http://arxiv.org/abs/2007.11651v1
• [cs.DC]Event-based Detection of Changes in IaaS Performance Signatures
Sheik Mohammad Mostakim Fattah, Athman Bouguettaya
http://arxiv.org/abs/2007.11705v1
• [cs.DS]Faster algorithms for sampling connected induced subgraphs
Marco Bressan
http://arxiv.org/abs/2007.12102v1
• [cs.IR]Assessing top-$k$ preferences
Charles L. A. Clarke, Alexandra Vtyurina, Mark D. Smucker
http://arxiv.org/abs/2007.11682v1
• [cs.IR]Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems
Maurizio Ferrari Dacrema, Federico Parroni, Paolo Cremonesi, Dietmar Jannach
http://arxiv.org/abs/2007.11893v1
• [cs.IR]Detecting Quality Problems in Research Data: A Model-Driven Approach
Arno Kesper, Viola Wenz, Gabriele Taentzer
http://arxiv.org/abs/2007.11298v2
• [cs.IR]FedCTR: Federated Native Ad CTR Prediction with Multi-Platform User Behavior Data
Chuhan Wu, Fangzhao Wu, Tao Di, Yongfeng Huang, Xing Xie
http://arxiv.org/abs/2007.12135v1
• [cs.IR]Providing early indication of regional anomalies in COVID19 case counts in England using search engine queries
Elad Yom-Tov, Vasileios Lampos, Ingemar J. Cox, Michael Edelstein
http://arxiv.org/abs/2007.11821v1
• [cs.IT]Cooperative Interference Management for Over-the-Air Computation Networks
Xiaowen Cao, Guangxu Zhu, Jie Xu, Kaibin Huang
http://arxiv.org/abs/2007.11765v1
• [cs.IT]Deep Learning Based Equalizer for MIMO-OFDM Systems with Insufficient Cyclic Prefix
Yan Sun, Chao Wang, Huan Cai, Chunming Zhao, Yiqun Wu, Yan Chen
http://arxiv.org/abs/2007.11757v1
• [cs.IT]Improving distribution and flexible quantization for DCT coefficients
Jarek Duda
http://arxiv.org/abs/2007.12055v1
• [cs.IT]Sifting Convolution on the Sphere
Patrick J. Roddy, Jason D. McEwen
http://arxiv.org/abs/2007.12153v1
• [cs.LG]ADER: Adaptively Distilled Exemplar Replay Towards Continual Learning for Session-based Recommendation
Fei Mi, Xiaoyu Lin, Boi Faltings
http://arxiv.org/abs/2007.12000v1
• [cs.LG]Adversarial Training Reduces Information and Improves Transferability
Matteo Terzi, Alessandro Achille, Marco Maggipinto, Gian Antonio Susto
http://arxiv.org/abs/2007.11259v2
• [cs.LG]Approximation Benefits of Policy Gradient Methods with Aggregated States
Daniel Russo
http://arxiv.org/abs/2007.11684v1
• [cs.LG]Breaking the Communication-Privacy-Accuracy Trilemma
Wei-Ning Chen, Peter Kairouz, Ayfer Özgür
http://arxiv.org/abs/2007.11707v1
• [cs.LG]Bridging the Imitation Gap by Adaptive Insubordination
Luca Weihs, Unnat Jain, Jordi Salvador, Svetlana Lazebnik, Aniruddha Kembhavi, Alexander Schwing
http://arxiv.org/abs/2007.12173v1
• [cs.LG]Clinical Recommender System: Predicting Medical Specialty Diagnostic Choices with Neural Network Ensembles
Morteza Noshad, Ivana Jankovic, Jonathan H. Chen
http://arxiv.org/abs/2007.12161v1
• [cs.LG]DBS: Dynamic Batch Size For Distributed Deep Neural Network Training
Qing Ye, Yuhao Zhou, Mingjia Shi, Yanan Sun, Jiancheng Lv
http://arxiv.org/abs/2007.11831v1
• [cs.LG]Deep Active Learning by Model Interpretability
Qiang Liu, Zhaocheng Liu, Xiaofang Zhu, Yeliang Xiu, Jun Zhu
http://arxiv.org/abs/2007.12100v1
• [cs.LG]Discovering Traveling Companions using Autoencoders
Xiaochang Li, Bei Chen, Xuesong Lu
http://arxiv.org/abs/2007.11735v1
• [cs.LG]Efficient Evaluation of the Partition Function of RBMs with Annealed Importance Sampling
Ferran Mazzanti, Enrique Romero
http://arxiv.org/abs/2007.11926v1
• [cs.LG]Evolving Multi-label Classification Rules by Exploiting High-order Label Correlation
Shabnam Nazmi, Xuyang Yan, Abdollah Homaifar, Emily Doucette
http://arxiv.org/abs/2007.11609v1
• [cs.LG]Few-shot Visual Reasoning with Meta-analogical Contrastive Learning
Youngsung Kim, Jinwoo Shin, Eunho Yang, Sung Ju Hwang
http://arxiv.org/abs/2007.12020v1
• [cs.LG]Frank-Wolfe Optimization for Dominant Set Clustering
Carl Johnell, Morteza Haghir Chehreghani
http://arxiv.org/abs/2007.11652v1
• [cs.LG]Grale: Designing Networks for Graph Learning
Jonathan Halcrow, Alexandru Moşoi, Sam Ruth, Bryan Perozzi
http://arxiv.org/abs/2007.12002v1
• [cs.LG]Hide-and-Seek Privacy Challenge
James Jordon, Daniel Jarrett, Jinsung Yoon, Tavian Barnes, Paul Elbers, Patrick Thoral, Ari Ercole, Cheng Zhang, Danielle Belgrave, Mihaela van der Schaar
http://arxiv.org/abs/2007.12087v1
• [cs.LG]Hierarchical Verification for Adversarial Robustness
Cong Han Lim, Raquel Urtasun, Ersin Yumer
http://arxiv.org/abs/2007.11826v1
• [cs.LG]Learning Differentiable Programs with Admissible Neural Heuristics
Ameesh Shah, Eric Zhan, Jennifer J. Sun, Abhinav Verma, Yisong Yue, Swarat Chaudhuri
http://arxiv.org/abs/2007.12101v1
• [cs.LG]Learning Infinite-horizon Average-reward MDPs with Linear Function Approximation
Chen-Yu Wei, Mehdi Jafarnia-Jahromi, Haipeng Luo, Rahul Jain
http://arxiv.org/abs/2007.11849v1
• [cs.LG]METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data Streams
Amila Silva, Shanika Karunasekera, Christopher Leckie, Ling Luo
http://arxiv.org/abs/2007.11847v1
• [cs.LG]Multi-Compartment Variational Online Learning for Spiking Neural Networks
Hyeryung Jang, Osvaldo Simeone
http://arxiv.org/abs/2007.11894v1
• [cs.LG]Online Boosting with Bandit Feedback
Nataly Brukhim, Elad Hazan
http://arxiv.org/abs/2007.11975v1
• [cs.LG]Optimal Transport using GANs for Lineage Tracing
Neha Prasad, Karren Yang, Caroline Uhler
http://arxiv.org/abs/2007.12098v1
• [cs.LG]PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic Programming
Alexander K. Lew, Monica Agrawal, David Sontag, Vikash K. Mansinghka
http://arxiv.org/abs/2007.11838v1
• [cs.LG]PareCO: Pareto-aware Channel Optimization for Slimmable Neural Networks
Ting-Wu Chin, Ari S. Morcos, Diana Marculescu
http://arxiv.org/abs/2007.11752v1
• [cs.LG]Private Post-GAN Boosting
Marcel Neunhoeffer, Zhiwei Steven Wu, Cynthia Dwork
http://arxiv.org/abs/2007.11934v1
• [cs.LG]Robust Machine Learning via Privacy/Rate-Distortion Theory
Ye Wang, Shuchin Aeron, Adnan Siraj Rakin, Toshiaki Koike-Akino, Pierre Moulin
http://arxiv.org/abs/2007.11693v1
• [cs.LG]Scalable Inference of Symbolic Adversarial Examples
Dimitar I. Dimitrov, Gagandeep Singh, Timon Gehr, Martin Vechev
http://arxiv.org/abs/2007.12133v1
• [cs.LG]Scalable Initialization Methods for Large-Scale Clustering
Joonas Hämäläinen, Tommi Kärkkäinen, Tuomo Rossi
http://arxiv.org/abs/2007.11937v1
• [cs.LG]Shape-CD: Change-Point Detection in Time-Series Data with Shapes and Neurons
Varsha Suresh, Wei Tsang Ooi
http://arxiv.org/abs/2007.11985v1
• [cs.LG]Signal Enhancement for Magnetic Navigation Challenge Problem
Albert R. Gnadt, Joseph Belarge, Aaron Canciani, Lauren Conger, Joseph Curro, Alan Edelman, Peter Morales, Michael F. O’Keeffe, Jonathan Taylor, Christopher Rackauckas
http://arxiv.org/abs/2007.12158v1
• [cs.LG]The expressive power of kth-order invariant graph networks
Floris Geerts
http://arxiv.org/abs/2007.12035v1
• [cs.LG]Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing
Ashkan Ebadi, Pengcheng Xi, Stéphane Tremblay, Bruce Spencer, Raman Pall, Alexander Wong
http://arxiv.org/abs/2007.11604v1
• [cs.LG]Word Representation for Rhythms
Tongyu Lu, Lucheng Yan, Gus Xia
http://arxiv.org/abs/2007.10610v2
• [cs.MA]Adaptable and Verifiable BDI Reasoning
Peter Stringer, Rafael C. Cardoso, Xiaowei Huang, Louise A. Dennis
http://arxiv.org/abs/2007.11743v1
• [cs.MA]Exploratory Experiments on Programming Autonomous Robots in Jadescript
Eleonora Iotti, Giuseppe Petrosino, Stefania Monica, Federico Bergenti
http://arxiv.org/abs/2007.11741v1
• [cs.MM]Subjective and Objective Quality Assessment of High Frame Rate Videos
Pavan C. Madhusudana, Xiangxu Yu, Neil Birkbeck, Yilin Wang, Balu Adsumilli, Alan C. Bovik
http://arxiv.org/abs/2007.11634v1
• [cs.NE]Revisiting Locality in Binary-Integer Representations
Hrishee Shastri, Eitan Frachtenberg
http://arxiv.org/abs/2007.12159v1
• [cs.NI]Characterization and Identification of Cloudified Mobile Network Performance Bottlenecks
G. Patounas, X. Foukas, A. Elmokashfi, M. K. Marina
http://arxiv.org/abs/2007.11472v2
• [cs.RO]Co-Simulation of Human-Robot Collaboration: from Temporal Logic to 3D Simulation
Mehrnoosh Askarpour, Matteo Rossi, Omer Tiryakiler
http://arxiv.org/abs/2007.11737v1
• [cs.RO]Deep Reinforcement Learning based Automatic Exploration for Navigation in Unknown Environment
Haoran Li, Qichao Zhang, Dongbin Zhao
http://arxiv.org/abs/2007.11808v1
• [cs.RO]Enhanced Transfer Learning for Autonomous Driving with Systematic Accident Simulation
Shivam Akhauri, Laura Zheng, Ming Lin
http://arxiv.org/abs/2007.12148v1
• [cs.RO]Establishing Reliable Robot Behavior using Capability Analysis Tables
Victoria Edwards, Loy McGuire, Signe Redfield
http://arxiv.org/abs/2007.11739v1
• [cs.RO]High Precision Real Time Collision Detection
Alexandre Coulombe, Hsiu-Chin Lin
http://arxiv.org/abs/2007.12045v1
• [cs.RO]Learning User-Preferred Mappings for Intuitive Robot Control
Mengxi Li, Dylan P. Losey, Jeannette Bohg, Dorsa Sadigh
http://arxiv.org/abs/2007.11627v1
• [cs.RO]ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
Carlos Campos, Richard Elvira, Juan J. Gómez Rodríguez, José M. M. Montiel, Juan D. Tardós
http://arxiv.org/abs/2007.11898v1
• [cs.RO]Receding Horizon Control Based Online Motion Planning with Partially Infeasible LTL Specifications
Mingyu Cai, Hao Peng, Zhijun Li, Hongbo Gao, Zhen Kan
http://arxiv.org/abs/2007.12123v1
• [cs.RO]Robust Control Synthesis and Verification for Wire-Borne Underactuated Brachiating Robots Using Sum-of-Squares Optimization
Siavash Farzan, Ai-Ping Hu, Michael Bick, Jonathan Rogers
http://arxiv.org/abs/2007.12047v1
• [cs.RO]Statistical Model Checking of Human-Robot Interaction Scenarios
Livia Lestingi, Mehrnoosh Askarpour, Marcello M. Bersani, Matteo Rossi
http://arxiv.org/abs/2007.11738v1
• [cs.RO]Understanding Multi-Modal Perception Using Behavioral Cloning for Peg-In-a-Hole Insertion Tasks
Yifang Liu, Diego Romeres, Devesh K. Jha, Daniel Nikovski
http://arxiv.org/abs/2007.11646v1
• [cs.SD]Augmentation adversarial training for unsupervised speaker recognition
Jaesung Huh, Hee Soo Heo, Jingu Kang, Shinji Watanabe, Joon Son Chung
http://arxiv.org/abs/2007.12085v1
• [cs.SE]A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective
Sin Kit Lo, Qinghua Lu, Chen Wang, Hye-Young Paik, Liming Zhu
http://arxiv.org/abs/2007.11354v2
• [cs.SI]A Privacy-Preserving Architecture for the Protection of Adolescents in Online Social Networks
Markos Charalambous, Petros Papagiannis, Antonis Papasavva, Pantelitsa Leonidou, Rafael Constaninou, Lia Terzidou, Theodoros Christophides, Pantelis Nicolaou, Orfeas Theofanis, George Kalatzantonakis, Michael Sirivianos
http://arxiv.org/abs/2007.12038v1
• [cs.SI]A comparative analysis of knowledge acquisition performance in complex networks
Lucas Guerreiro, Filipi N. Silva, Diego R. Amancio
http://arxiv.org/abs/2007.12028v1
• [cs.SI]Bot Development for Social Engineering Attacks on Twitter
Jefferson Viana Fonseca Abreu, Jorge Henrique Cabral Fernandes, João José Costa Gondim, Célia Ghedini Ralha
http://arxiv.org/abs/2007.11778v1
• [cs.SI]Clustering of Social Media Messages for Humanitarian Aid Response during Crisis
Swati Padhee, Tanay Kumar Saha, Joel Tetreault, Alejandro Jaimes
http://arxiv.org/abs/2007.11756v1
• [cs.SI]Revealing semantic and emotional structure of suicide notes with cognitive network science
Andreia Sofia Teixeira, Szymon Talaga, Trevor James Swanson, Massimo Stella
http://arxiv.org/abs/2007.12053v1
• [econ.EM]Deep Dynamic Factor Models
Paolo Andreini, Cosimo Izzo, Giovanni Ricco
http://arxiv.org/abs/2007.11887v1
• [eess.AS]A Transfer Learning End-to-End ArabicText-To-Speech (TTS) Deep Architecture
Fady Fahmy, Mahmoud Khalil, Hazem Abbas
http://arxiv.org/abs/2007.11541v1
• [eess.AS]Sequential Routing Framework: Fully Capsule Network-based Speech Recognition
Kyungmin Lee, Hyunwhan Joe, Hyeontaek Lim, Kwangyoun Kim, Sungsoo Kim, Chang Woo Han, Hong-Gee Kim
http://arxiv.org/abs/2007.11747v1
• [eess.AS]Version Control of Speaker Recognition Systems
Quan Wang, Ignacio Lopez Moreno
http://arxiv.org/abs/2007.12069v1
• [eess.IV]A Computation-Efficient CNN System for High-Quality Brain Tumor Segmentation
Yanming Sun, Chunyan Wang
http://arxiv.org/abs/2007.12066v1
• [eess.IV]A weakly supervised registration-based framework for prostate segmentation via the combination of statistical shape model and CNN
Chunxia Qin, Xiaojun Chen, Jocelyne Troccaz
http://arxiv.org/abs/2007.11726v1
• [eess.IV]CVR-Net: A deep convolutional neural network for coronavirus recognition from chest radiography images
Md. Kamrul Hasan, Md. Ashraful Alam, Md. Toufick E Elahi, Shidhartho Roy, Sifat Redwan Wahid
http://arxiv.org/abs/2007.11993v1
• [eess.IV]Darwin’s Neural Network: AI-based Strategies for Rapid and Scalable Cell and Coronavirus Screening
Sang Won Lee, Yueh-Ting Chiu, Philip Brudnicki, Audrey M. Bischoff, Angus Jelinek, Jenny Zijun Wang, Danielle R. Bogdanowicz, Andrew F. Laine, Jia Guo, Helen H. Lu
http://arxiv.org/abs/2007.11653v1
• [eess.IV]Deep Learning Based Segmentation of Various Brain Lesions for Radiosurgery
Siang-Ruei Wu, Hao-Yun Chang, Florence T Su, Heng-Chun Liao, Wanju Tseng, Chun-Chih Liao, Feipei Lai, Feng-Ming Hsu, Furen Xiao
http://arxiv.org/abs/2007.11784v1
• [eess.IV]Guided Deep Decoder: Unsupervised Image Pair Fusion
Tatsumi Uezato, Danfeng Hong, Naoto Yokoya, Wei He
http://arxiv.org/abs/2007.11766v1
• [eess.IV]Multi-modality imaging with structure-promoting regularisers
Matthias J. Ehrhardt
http://arxiv.org/abs/2007.11689v1
• [eess.IV]PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration
Jinjin Gu, Haoming Cai, Haoyu Chen, Xiaoxing Ye, Jimmy Ren, Chao Dong
http://arxiv.org/abs/2007.12142v1
• [eess.IV]Regularization of Building Boundaries in Satellite Images using Adversarial and Regularized Losses
Stefano Zorzi, Friedrich Fr
6ec0
aundorfer
http://arxiv.org/abs/2007.11840v1
• [eess.SP]A Non-Intrusive Load Monitoring Approach for Very Short Term Power Predictions in Commercial Buildings
Karoline Brucke, Stefan Arens, Jan-Simon Telle, Thomas Steens, Benedikt Hanke, Karsten von Maydell, Carsten Agert
http://arxiv.org/abs/2007.11819v1
• [eess.SP]Federated Learning in the Sky: Aerial-Ground Air Quality Sensing Framework with UAV Swarms
Yi Liu, Jiangtian Nie, Xuandi Li, Syed Hassan Ahmed, Wei Yang Bryan Lim, Chunyan Miao
http://arxiv.org/abs/2007.12004v1
• [eess.SY]Dynamic residential load scheduling based on an adaptive consumption level pricing scheme
Haider Tarish Haider, Ong Hang See, W. Elmenreich
http://arxiv.org/abs/2007.11932v1
• [eess.SY]Safety-Critical Model Predictive Control with Discrete-Time Control Barrier Function
Jun Zeng, Bike Zhang, Koushil Sreenath
http://arxiv.org/abs/2007.11718v1
• [math.OC]Dimension reduction in recurrent networks by canonicalization
Lyudmila Grigoryeva, Juan-Pablo Ortega
http://arxiv.org/abs/2007.12141v1
• [math.ST]Batch Policy Learning in Average Reward Markov Decision Processes
Peng Liao, Zhengling Qi, Susan Murphy
http://arxiv.org/abs/2007.11771v1
• [math.ST]Discrete-time inference for slow-fast s
5c3e
ystems driven by fractional Brownian motion
Solesne Bourguin, Siragan Gailus, Konstantinos Spiliopoulos
http://arxiv.org/abs/2007.11665v1
• [math.ST]Minimax-robust forecasting of sequences with periodically stationary long memory multiple seasonal increments
Maksym Luz, Mikhail Moklyachuk
http://arxiv.org/abs/2007.11581v1
• [math.ST]Nonparametric Tests in Linear Model with Autoregressive Errors
Olcay Arslan, Yesim Güney, Jana Jureckova, Yetkin Tuac
http://arxiv.org/abs/2007.12124v1
• [math.ST]Sensor Clusterization in D-optimal Design in Infinite Dimensional Bayesian Inverse Problems
Yair Daon
http://arxiv.org/abs/2007.12032v1
• [math.ST]Tail inference for high-dimensional data
Nicolas Meyer, Olivier Wintenberger
http://arxiv.org/abs/2007.11848v1
• [math.ST]The Complete Lasso Tradeoff Diagram
Hua Wang, Yachong Yang, Zhiqi Bu, Weijie J. Su
http://arxiv.org/abs/2007.11078v2
• [physics.comp-ph]Latent-space time evolution of non-intrusive reduced-order models using Gaussian process emulation
Romit Maulik, Themistoklis Botsas, Nesar Ramachandra, Lachlan Robert Mason, Indranil Pan
http://arxiv.org/abs/2007.12167v1
• [physics.soc-ph]The impact of small changes in thoroughfare connectivity on the potential for student walking
Jeremy D. Auerbach, Eugene C. Fitzhugh, Ellen Zavisca
http://arxiv.org/abs/2007.11615v1
• [q-bio.NC]Body sway responses to pseudorandom support surface translations of vestibular loss subjects resemble those of vestibular able subjects
V. Lippi, L. Assländer, E. Akcay, T. Mergner
http://arxiv.org/abs/2007.11698v1
• [q-bio.PE]Anti-clustering in the national SARS-CoV-2 daily infection counts
Boudewijn F. Roukema
http://arxiv.org/abs/2007.11779v1
• [quant-ph]Quantum differentially private sparse regression learning
Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Shan You, Dacheng Tao
http://arxiv.org/abs/2007.11921v1
• [stat.AP]A Copula-based Fully Bayesian Nonparametric Evaluation of Cardiovascular Risk Markers in the Mexico City Diabetes Study
Claudia Wehrhahn, Ruth Fuentes-García, Ramsés H. Mena, Fabrizio Leisen, Maria Elena González-Villalpando, Clicerio González-Villalpando
http://arxiv.org/abs/2007.11700v1
• [stat.AP]Causal analysis of Covid-19 spread in Germany
Atalanti A. Mastakouri, Bernhard Schölkopf
http://arxiv.org/abs/2007.11896v1
• [stat.CO]An invitation to sequential Monte Carlo samplers
Chenguang Dai, Jeremy Heng, Pierre E. Jacob, Nick Whiteley
http://arxiv.org/abs/2007.11936v1
• [stat.ME]A binary-response regression model based on support vector machines
Hien D Nguyen, Daniel V Fryer
http://arxiv.org/abs/2007.11902v1
• [stat.ME]An evaluation framework for personalization strategy experiment designs
C. H. Bryan Liu, Emma J. McCoy
http://arxiv.org/abs/2007.11638v1
• [stat.ME]Backfitting for large scale crossed random effects regressions
Swarnadip Ghosh, Trevor Hastie, Art B. Owen
http://arxiv.org/abs/2007.10612v2
• [stat.ME]Modeling Sums of Exchangeable Binary Variables
Ryan Elmore
http://arxiv.org/abs/2007.11657v1
• [stat.ME]The r-largest four parameter kappa distribution
Yire Shin, Piyapatr Busababodhin, Jeong-Soo Park
http://arxiv.org/abs/2007.12031v1
• [stat.ML]A Novel Framework for Spatio-Temporal Prediction of Climate Data Using Deep Learning
Federico Amato, Fabian Guignard, Sylvain Robert, Mikhail Kanevski
http://arxiv.org/abs/2007.11836v1
• [stat.ML]Challenging common bolus advisor for self-monitoring type-I diabetes patients using Reinforcement Learning
Frédéric Logé, Erwan Le Pennec, Habiboulaye Amadou-Boubacar
http://arxiv.org/abs/2007.11880v1
• [stat.ML]Convergence Analysis of Langevin Monte Carlo in Chi-Square Divergence
Murat A. Erdogdu, Rasa Hosseinzadeh
http://arxiv.org/abs/2007.11612v1
• [stat.ML]DeepKriging: Spatially Dependent Deep Neural Networks for Spatial Prediction
Yuxiao Li, Ying Sun, Brian J Reich
http://arxiv.org/abs/2007.11972v1
• [stat.ML]Disentangling the Gauss-Newton Method and Approximate Inference for Neural Networks
Alexander Immer
http://arxiv.org/abs/2007.11994v1
• [stat.ML]Nonclosedness of the Set of Neural Networks in Sobolev Space
Scott Mahan, Emily King, Alex Cloninger
http://arxiv.org/abs/2007.11730v1
• [stat.ML]On a Bernoulli Autoregression Framework for Link Discovery and Prediction
Xiaohan Yan, Avleen S. Bijral
http://arxiv.org/abs/2007.11811v1
• [stat.ML]Online Robust and Adaptive Learning from Data Streams
Shintaro Fukushima, Atsushi Nitanda, Kenji Yamanishi
http://arxiv.org/abs/2007.12160v1
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