astro-ph.IM - 仪器仪表和天体物理学方法

    cs.AI - 人工智能 cs.CE - 计算工程、 金融和科学 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MM - 多媒体 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 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 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.IM]The Umbrella software suite for automated asteroid detection
    • [cs.AI]DensE: An Enhanced Non-Abelian Group Representation for Knowledge Graph Embedding
    • [cs.AI]Explainable Artificial Intelligence Based Fault Diagnosis and Insight Harvesting for Steel Plates Manufacturing
    • [cs.AI]Model-Based Quality-Diversity Search for Efficient Robot Learning
    • [cs.AI]Multi-Agent Safe Planning with Gaussian Processes
    • [cs.AI]Ortus: an Emotion-Driven Approach to (artificial) Biological Intelligence
    • [cs.AI]Planimation
    • [cs.AI]SMT-based Safety Verification of Parameterised Multi-Agent Systems
    • [cs.CE]Driver Assistance for Safe and Comfortable On-Ramp Merging Using Environment Models Extended through V2X Communication and Role-Based Behavior Predictions
    • [cs.CL]A Comparison of Synthetic Oversampling Methods for Multi-class Text Classification
    • [cs.CL]A Neural Generative Model for Joint Learning Topics and Topic-Specific Word Embeddings
    • [cs.CL]A parallel evaluation data set of software documentation with document structure annotation
    • [cs.CL]Can We Spot the “Fake News” Before It Was Even Written?
    • [cs.CL]Hybrid Ranking Network for Text-to-SQL
    • [cs.CL]KR-BERT: A Small-Scale Korean-Specific Language Model
    • [cs.CL]LTIatCMU at SemEval-2020 Task 11: Incorporating Multi-Level Features for Multi-Granular Propaganda Span Identification
    • [cs.CL]Revisiting Low Resource Status of Indian Languages in Machine Translation
    • [cs.CL]The Sockeye 2 Neural Machine Translation Toolkit at AMTA 2020
    • [cs.CL]Topic Adaptation and Prototype Encoding for Few-Shot Visual Storytelling
    • [cs.CR]An Automated, End-to-End Framework for Modeling Attacks From Vulnerability Descriptions
    • [cs.CR]Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks
    • [cs.CR]Security Versus Privacy
    • [cs.CR]Security should be there by default: Investigating how journalists perceive and respond to risks from the Internet of Things
    • [cs.CR]The Data that Drives Cyber Insurance: A Study into the Underwriting and Claims Processes
    • [cs.CR]Trustworthy AI Inference Systems: An Industry Research View
    • [cs.CV]A Study of Efficient Light Field Subsampling and Reconstruction Strategies
    • [cs.CV]Adversarial Generative Grammars for Human Activity Prediction
    • [cs.CV]Attention-based 3D Object Reconstruction from a Single Image
    • [cs.CV]BREEDS: Benchmarks for Subpopulation Shift
    • [cs.CV]Bipartite Graph Reasoning GANs for Person Image Generation
    • [cs.CV]ClimAlign: Unsupervised statistical downscaling of climate variables via normalizing flows
    • [cs.CV]DTVNet: Dynamic Time-lapse Video Generation via Single Still Image
    • [cs.CV]Deep UAV Localization with Reference View Rendering
    • [cs.CV]Detecting Urban Dynamics Using Deep Siamese Convolutional Neural Networks
    • [cs.CV]Distributed Multi-agent Video Fast-forwarding
    • [cs.CV]Exposing Deep-faked Videos by Anomalous Co-motion Pattern Detection
    • [cs.CV]Fast and Accurate Optical Flow based Depth Map Estimation from Light Fields
    • [cs.CV]Fully-Automated Packaging Structure Recognition in Logistics Environments
    • [cs.CV]GeLaTO: Generative Latent Textured Objects
    • [cs.CV]Grasping Field: Learning Implicit Representations for Human Grasps
    • [cs.CV]Hardware-Centric AutoML for Mixed-Precision Quantization
    • [cs.CV]HydraMix-Net: A Deep Multi-task Semi-supervised Learning Approach for Cell Detection and Classification
    • [cs.CV]Invertible Neural BRDF for Object Inverse Rendering
    • [cs.CV]KBGN: Knowledge-Bridge Graph Network for Adaptive Vision-Text Reasoning in Visual Dialogue
    • [cs.CV]Key-Nets: Optical Transformation Convolutional Networks for Privacy Preserving Vision Sensors
    • [cs.CV]Keypoint Autoencoders: Learning Interest Points of Semantics
    • [cs.CV]Learning Stereo Matchability in Disparity Regression Networks
    • [cs.CV]Learning to Cluster under Domain Shift
    • [cs.CV]Learning to See Through Obstructions with Layered Decomposition
    • [cs.CV]Locating Cephalometric X-Ray Landmarks with Foveated Pyramid Attention
    • [cs.CV]MHSA-Net: Multi-Head Self-Attention Network for Occluded Person Re-Identification
    • [cs.CV]Measures of Complexity for Large Scale Image Datasets
    • [cs.CV]PROFIT: A Novel Training Method for sub-4-bit MobileNet Models
    • [cs.CV]R-MNet: A Perceptual Adversarial Network for Image Inpainting
    • [cs.CV]Real-Time Sign Language Detection using Human Pose Estimation
    • [cs.CV]Reinforced Wasserstein Training for Severity-Aware Semantic Segmentation in Autonomous Driving
    • [cs.CV]Rethinking Pseudo-LiDAR Representation
    • [cs.CV]Robust Long-Term Object Tracking via Improved Discriminative Model Prediction
    • [cs.CV]Sharp Multiple Instance Learning for DeepFake Video Detection
    • [cs.CV]TCL: an ANN-to-SNN Conversion with Trainable Clipping Layers
    • [cs.CV]Text as Neural Operator: Image Manipulation by Text Instruction
    • [cs.CV]TextRay: Contour-based Geometric Modeling for Arbitrary-shaped Scene Text Detection
    • [cs.CV]TransNet V2: An effective deep network architecture for fast shot transition detection
    • [cs.CV]Transfer Learning for Protein Structure Classification and Function Inference at Low Resolution
    • [cs.CV]Unified Representation Learning for Cross Model Compatibility
    • [cs.CV]Unsupervised Deep Metric Learning with Transformed Attention Consistency and Contrastive Clustering Loss
    • [cs.CY]A Survey and Insights on Deployments of the Connected and Autonomous Vehicles in US
    • [cs.CY]Co-design and Co-simulation for Engineering Systems: Insights from the Sustainable Infrastructure Planning Game
    • [cs.CY]Common Metrics to Benchmark Human-Machine Teams (HMT): A Review
    • [cs.CY]Comprehensiveness of Archives: A Modern AI-enabled Approach to Build Comprehensive Shared Cultural Heritage
    • [cs.CY]Montreal AI Ethics Institute’s (MAIEI) Submission to the World Intellectual Property Organization (WIPO) Conversation on Intellectual Property (IP) and Artificial Intelligence (AI) Second Session
    • [cs.CY]Report prepared by the Montreal AI Ethics Institute In Response to Mila’s Proposal for a Contact Tracing App
    • [cs.CY]Security for People with Mental Illness in Telehealth Systems: A Proposal
    • [cs.CY]Social Engagement versus Learning Engagement — An Exploratory Study of FutureLearn Learners
    • [cs.CY]Study on State-of-the-art Cloud Services Integration Capabilities with Autonomous Ground Vehicles
    • [cs.DC]Cerberus: Minimalistic Multi-shard Byzantine-resilient Transaction Processing
    • [cs.DC]DV-ARPA: Data Variety Aware Resource Provisioning for Big Data Processing in Accumulative Applications
    • [cs.DC]Fully Read/Write Fence-Free Work-Stealing with Multiplicity
    • [cs.DC]Holdout SGD: Byzantine Tolerant Federated Learning
    • [cs.DC]Scheduling Methods to Reduce Response Latency of Function as a Service
    • [cs.DC]TransForm: Formally Specifying Transistency Models and Synthesizing Enhanced Litmus Tests
    • [cs.DC]Woodpecker-DL: Accelerating Deep Neural Networks via Hardware-Aware Multifaceted Optimizations
    • [cs.DC]sputniPIC: an Implicit Particle-in-Cell Code for Multi-GPU Systems
    • [cs.DC]tf-Darshan: Understanding Fine-grained I/O Performance in Machine Learning Workloads
    • [cs.DL]Towards a more realistic citation model: The key role of research team sizes
    • [cs.HC]Exploring Navigation Styles in a FutureLearn MOOC
    • [cs.IR]Analysing the Effect of Clarifying Questions on Document Ranking in Conversational Search
    • [cs.IR]Context Reinforced Neural Topic Modeling over Short Texts
    • [cs.IR]DREAM: A Dynamic Relational-Aware Model for Social Recommendation
    • [cs.IT]Channel Leakage and Fundamental Limits of Privacy Leakage for Streaming Data
    • [cs.IT]Conditions for the existence of a generalization of Rényi divergence
    • [cs.IT]Fast Channel Estimation for IRS-Assisted OFDM
    • [cs.IT]Lifted Multiplicity Codes
    • [cs.IT]Secure Simultaneous Information and Power Transfer for Downlink Multi-user Massive MIMO
    • [cs.IT]The Ring Learning With Errors Problem: Smearing Condition
    • [cs.LG]An Empirical Analysis of Backward Compatibility in Machine Learning Systems
    • [cs.LG]Balanced k-Means Clustering on an Adiabatic Quantum Computer
    • [cs.LG]Byzantine Fault-Tolerant Distributed Machine Learning Using Stochastic Gradient Descent (SGD) and Norm-Based Comparative Gradient Elimination (CGE)
    • [cs.LG]DeepDrummer : Generating Drum Loops using Deep Learning and a Human in the Loop
    • [cs.LG]FedNNNN: Norm-Normalized Neural Network Aggregation for Fast and Accurate Federated Learning
    • [cs.LG]Federated Learning via Synthetic Data
    • [cs.LG]GRIMGEP: Learning Progress for Robust Goal Sampling in Visual Deep Reinforcement Learning
    • [cs.LG]On Learning Language-Invariant Representations for Universal Machine Translation
    • [cs.LG]PiNet: Attention Pooling for Graph Classification
    • [cs.LG]Revisiting Adversarially Learned Injection Attacks Against Recommender Systems
    • [cs.LG]S2OSC: A Holistic Semi-Supervised Approach for Open Set Classification
    • [cs.LG]Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation
    • [cs.LG]Towards Plausible Differentially Private ADMM Based Distributed Machine Learning
    • [cs.LG]Unbiased Learning for the Causal Effect of Recommendation
    • [cs.MM]Extension of JPEG XS for Two-Layer Lossless Coding
    • [cs.NI]A Survey on Human-centric Communications in Non-cooperative Wireless Relay Networks
    • [cs.RO]A Comparison of Humanoid Robot Simulators: A Quantitative Approach
    • [cs.RO]Cable Estimation-Based Control for Wire-Borne Underactuated Brachiating Robots: A Combined Direct-Indirect Adaptive Robust Approach
    • [cs.RO]Hardware as Policy: Mechanical and Computational Co-Optimization using Deep Reinforcement Learning
    • [cs.RO]Maximizing BCI Human Feedback using Active Learning
    • [cs.RO]Safe and Effective Picking Paths in Clutter given Discrete Distributions of Object Poses
    • [cs.RO]Spatio-temporal Attention Model for Tactile Texture Recognition
    • [cs.RO]Visual Imitation Made Easy
    • [cs.SE]An ad-hoc social network generation approach
    • [cs.SE]Challenges in Docker Development: A Large-scale Study Using Stack Overflow
    • [cs.SE]Semantic Clone Detection via Probabilistic Software Modeling
    • [cs.SI]A Synthetic Network Generator for Covert Network Analytics
    • [cs.SI]Directional Laplacian Centrality for Cyber Situational Awareness
    • [cs.SI]Impact of natural disasters on consumer behavior: case of the 2017 El Nino phenomenon in Peru
    • [cs.SI]PIS: A Multi-dimensional Routing Protocol for Socially-aware Networking
    • [cs.SI]Scientific Article Recommendation: Exploiting Common Author Relations and Historical Preferences
    • [cs.SI]Social Distancing Beliefs and Human Mobility: Evidence from Twitter
    • [cs.SI]Socially-Aware Conference Participant Recommendation with Personality Traits
    • [cs.SI]The Turing Test for Graph Drawing Algorithms
    • [cs.SI]Using Network Embeddings for Improving Network Alignment
    • [econ.EM]Convergence rate of estimators of clustered panel models with misclassification
    • [eess.AS]Bunched LPCNet : Vocoder for Low-cost Neural Text-To-Speech Systems
    • [eess.AS]Investigation of End-To-End Speaker-Attributed ASR for Continuous Multi-Talker Recordings
    • [eess.AS]Neural PLDA Modeling for End-to-End Speaker Verification
    • [eess.AS]PoCoNet: Better Speech Enhancement with Frequency-Positional Embeddings, Semi-Supervised Conversational Data, and Biased Loss
    • [eess.AS]Spectrum and Prosody Conversion for Cross-lingual Voice Conversion with CycleGAN
    • [eess.AS]Surgical Mask Detection with Convolutional Neural Networks and Data Augmentations on Spectrograms
    • [eess.AS]TinySpeech: Attention Condensers for Deep Speech Recognition Neural Networks on Edge Devices
    • [eess.AS]Transformer with Bidirectional Decoder for Speech Recognition
    • [eess.AS]Why Did the x-Vector System Miss a Target Speaker? Impact of Acoustic Mismatch Upon Target Score on VoxCeleb Data
    • [eess.IV]3D FLAT: Feasible Learned Acquisition Trajectories for Accelerated MRI
    • [eess.IV]ARPM-net: A novel CNN-based adversarial method with Markov Random Field enhancement for prostate and organs at risk segmentation in pelvic CT images
    • [eess.IV]Artificial Intelligence to Assist in Exclusion of Coronary Atherosclerosis during CCTA Evaluation of Chest-Pain in the Emergency Department: Preparing an Application for Real-World Use
    • [eess.IV]AtrialJSQnet: A New Framework for Joint Segmentation and Quantification of Left Atrium and Scars Incorporating Spatial and Shape Information
    • [eess.IV]GANBERT: Generative Adversarial Networks with Bidirectional Encoder Representations from Transformers for MRI to PET synthesis
    • [eess.IV]GANDALF: Generative Adversarial Networks with Discriminator-Adaptive Loss Fine-tuning for Alzheimer’s Disease Diagnosis from MRI
    • [eess.IV]Implanting Synthetic Lesions for Improving Liver Lesion Segmentation in CT Exams
    • [eess.IV]Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection
    • [eess.IV]Multi-modal segmentation of 3D brain scans using neural networks
    • [eess.IV]Predicting Risk of Developing Diabetic Retinopathy using Deep Learning
    • [eess.IV]SAFRON: Stitching Across the Frontier for Generating Colorectal Cancer Histology Images
    • [eess.IV]TextureWGAN: Texture Preserving WGAN with MLE Regularizer for Inverse Problems
    • [eess.IV]Thick Cloud Removal of Remote Sensing Images Using Temporal Smoothness and Sparsity-Regularized Tensor Optimization
    • [eess.SP]Residual Generation Using Physically-Based Grey-Box Recurrent Neural Networks For Engine Fault Diagnosis
    • [eess.SY]An Intelligent Control Strategy for buck DC-DC Converter via Deep Reinforcement Learning
    • [eess.SY]Comparison of Model Predictive and Reinforcement Learning Methods for Fault Tolerant Control
    • [eess.SY]Fault-Tolerant Control of Degrading Systems with On-Policy Reinforcement Learning
    • [eess.SY]Full and Reduced Order Observers for Image-based Depth Estimation using Concurrent Learning
    • [eess.SY]Learning Event-triggered Control from Data through Joint Optimization
    • [math.OC]A Two-Stage Metaheuristic Algorithm for the Dynamic Vehicle Routing Problem in Industry 4.0 approach
    • [math.OC]Riemannian stochastic recursive momentum method for non-convex optimization
    • [math.ST]Bayesian selective inference: sampling models and non-informative priors
    • [math.ST]Design based incomplete U-statistics
    • [math.ST]Estimating the logarithm of characteristic function and stability parameter for symmetric stable laws
    • [math.ST]Estimation of Static Community Memberships from Temporal Network Data
    • [math.ST]Evidence bounds in singular models: probabilistic and variational perspectives
    • [math.ST]Stick-breaking processes with exchangeable length variables
    • [physics.comp-ph]Uncertainty Quantification of Locally Nonlinear Dynamical Systems using Neural Networks
    • [physics.soc-ph]Attention dynamics on the Chinese social media Sina Weibo during the COVID-19 pandemic
    • [stat.AP]The shapes of an epidemic: using Functional Data Analysis to characterize COVID-19 in Italy
    • [stat.AP]Use of IT tools to search for a correlation between weather factors and onset of pulmonary thromboembolism
    • stat.ME All of Entity Resolution
    • [stat.ME]A note of feature screening via rank-based coefficient of correlation
    • [stat.ME]Bayesian Analysis on Limiting the Student-$t$ Linear Regression Model
    • [stat.ME]Frequent or Systematic Changes? discussion on “Detecting possibly frequent change-points: Wild Binary Segmentation 2 and steepest-drop model selection.”
    • [stat.ME]Locally associated graphical models
    • [stat.ME]Test for mean matrix in GMANOVA model under heteroscedasticity and non-normality for high-dimensional data
    • [stat.ME]The von Mises-Fisher Procrustes model in functional Magnetic Resonance Imaging data
    • [stat.ME]Varying impacts of letters of recommendation on college admissions: Approximate balancing weights for subgroup effects in observational studies
    • [stat.ML]Airflow recovery from thoracic and abdominal movements using Synchrosqueezing Transform and Locally Stationary Gaussian Process Regression
    • [stat.ML]Deep State-Space Gaussian Processes
    • [stat.ML]Error Bounds for Generalized Group Sparsity
    • [stat.ML]IGANI: Iterative Generative Adversarial Networks for Imputation Applied to Prediction of Traffic Data
    • [stat.ML]Optimal Combination of Linear and Spectral Estimators for Generalized Linear Models
    • [stat.ML]Probability Link Models with Symmetric Information Divergence

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

    • [astro-ph.IM]The Umbrella software suite for automated asteroid detection
    Malin Stanescu, Ovidiu Vaduvescu
    http://arxiv.org/abs/2008.04724v1

    • [cs.AI]DensE: An Enhanced Non-Abelian Group Representation for Knowledge Graph Embedding
    Haonan Lu, Hailin Hu
    http://arxiv.org/abs/2008.04548v1

    • [cs.AI]Explainable Artificial Intelligence Based Fault Diagnosis and Insight Harvesting for Steel Plates Manufacturing
    Athar Kharal
    http://arxiv.org/abs/2008.04448v1

    • [cs.AI]Model-Based Quality-Diversity Search for Efficient Robot Learning
    Leon Keller, Daniel Tanneberg, Svenja Stark, Jan Peters
    http://arxiv.org/abs/2008.04589v1

    • [cs.AI]Multi-Agent Safe Planning with Gaussian Processes
    Zheqing Zhu, Erdem Bıyık, Dorsa Sadigh
    http://arxiv.org/abs/2008.04452v1

    • [cs.AI]Ortus: an Emotion-Driven Approach to (artificial) Biological Intelligence
    Andrew W. E. McDonald, Sean Grimes, David E. Breen
    http://arxiv.org/abs/2008.04875v1

    • [cs.AI]Planimation
    Gang Chen, Yi Ding, Hugo Edwards, Chong Hin Chau, Sai Hou, Grace Johnson, Mohammed Sharukh Syed, Haoyuan Tang, Yue Wu, Ye Yan, Gil Tidhar, Nir Lipovetzky
    http://arxiv.org/abs/2008.04600v1

    • [cs.AI]SMT-based Safety Verification of Parameterised Multi-Agent Systems
    Paolo Felli, Alessandro Gianola, Marco Montali
    http://arxiv.org/abs/2008.04774v1

    • [cs.CE]Driver Assistance for Safe and Comfortable On-Ramp Merging Using Environment Models Extended through V2X Communication and Role-Based Behavior Predictions
    Lucas Eiermann, Florian Wirthmüller, Kay Massow, Gabi Breuel, Ilja Radusch
    http://arxiv.org/abs/2008.04707v1

    • [cs.CL]A Comparison of Synthetic Oversampling Methods for Multi-class Text Classification
    Anna Glazkova
    http://arxiv.org/abs/2008.04636v1

    • [cs.CL]A Neural Generative Model for Joint Learning Topics and Topic-Specific Word Embeddings
    Lixing Zhu, Yulan He, Deyu Zhou
    http://arxiv.org/abs/2008.04702v1

    • [cs.CL]A parallel evaluation data set of software documentation with document structure annotation
    Bianka Buschbeck, Miriam Exel
    http://arxiv.org/abs/2008.04550v1

    • [cs.CL]Can We Spot the “Fake News” Before It Was Even Written?
    Preslav Nakov
    http://arxiv.org/abs/2008.04374v1

    • [cs.CL]Hybrid Ranking Network for Text-to-SQL
    Qin Lyu, Kaushik Chakrabarti, Shobhit Hathi, Souvik Kundu, Jianwen Zhang, Zheng Chen
    http://arxiv.org/abs/2008.04759v1

    • [cs.CL]KR-BERT: A Small-Scale Korean-Specific Language Model
    Sangah Lee, Hansol Jang, Yunmee Baik, Suzi Park, Hyopil Shin
    http://arxiv.org/abs/2008.03979v2

    • [cs.CL]LTIatCMU at SemEval-2020 Task 11: Incorporating Multi-Level Features for Multi-Granular Propaganda Span Identification
    Sopan Khosla, Rishabh Joshi, Ritam Dutt, Alan W Black, Yulia Tsvetkov
    http://arxiv.org/abs/2008.04820v1

    • [cs.CL]Revisiting Low Resource Status of Indian Languages in Machine Translation
    Jerin Philip, Shashank Siripragada, Vinay P. Namboodiri, C. V. Jawahar
    http://arxiv.org/abs/2008.04860v1

    • [cs.CL]The Sockeye 2 Neural Machine Translation Toolkit at AMTA 2020
    Tobias Domhan, Michael Denkowski, David Vilar, Xing Niu, Felix Hieber, Kenneth Heafield
    http://arxiv.org/abs/2008.04885v1

    • [cs.CL]Topic Adaptation and Prototype Encoding for Few-Shot Visual Storytelling
    Jiacheng Li, Siliang Tang, Juncheng Li, Jun Xiao, Fei Wu, Shiliang Pu, Yueting Zhuang
    http://arxiv.org/abs/2008.04504v1

    • [cs.CR]An Automated, End-to-End Framework for Modeling Attacks From Vulnerability Descriptions
    Hodaya Binyamini, Ron Bitton, Masaki Inokuchi, Tomohiko Yagyu, Yuval Elovici, Asaf Shabtai
    http://arxiv.org/abs/2008.04377v1

    • [cs.CR]Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks
    Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong
    http://arxiv.org/abs/2008.04495v1

    • [cs.CR]Security Versus Privacy
    Farhad Farokhi, Peyman Mohajerin Esfahani
    http://arxiv.org/abs/2008.04477v1

    • [cs.CR]Security should be there by default: Investigating how journalists perceive and respond to risks from the Internet of Things
    Anjuli R. K. Shere, Jason R. C. Nurse, Ivan Flechais
    http://arxiv.org/abs/2008.04698v1

    • [cs.CR]The Data that Drives Cyber Insurance: A Study into the Underwriting and Claims Processes
    Jason R. C. Nurse, Louise Axon, Arnau Erola, Ioannis Agrafiotis, Michael Goldsmith, Sadie Creese
    http://arxiv.org/abs/2008.04713v1

    • [cs.CR]Trustworthy AI Inference Systems: An Industry Research View
    Rosario Cammarota, Matthias Schunter, Anand Rajan, Fabian Boemer, Ágnes Kiss, Amos Treiber, Christian Weinert, Thomas Schneider, Emmanuel Stapf, Ahmad-Reza Sadeghi, Daniel Demmler, Huili Chen, Siam Umar Hussain, Sadegh Riazi, Farinaz Koushanfar, Saransh Gupta, Tajan Simunic Rosing, Kamalika Chaudhuri, Hamid Nejatollahi, Nikil Dutt, Mohsen Imani, Kim Laine, Anuj Dubey, Aydin Aysu, Fateme Sadat Hosseini, Chengmo Yang, Eric Wallace, Pamela Norton
    http://arxiv.org/abs/2008.04449v1

    • [cs.CV]A Study of Efficient Light Field Subsampling and Reconstruction Strategies
    Yang Chen, Martin Alain, Aljosa Smolic
    http://arxiv.org/abs/2008.04694v1

    • [cs.CV]Adversarial Generative Grammars for Human Activity Prediction
    AJ Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo
    http://arxiv.org/abs/2008.04888v1

    • [cs.CV]Attention-based 3D Object Reconstruction from a Single Image
    Andrey Salvi, Nathan Gavenski, Eduardo Pooch, Felipe Tasoniero, Rodrigo Barros
    http://arxiv.org/abs/2008.04738v1

    • [cs.CV]BREEDS: Benchmarks for Subpopulation Shift
    Shibani Santurkar, Dimitris Tsipras, Aleksander Madry
    http://arxiv.org/abs/2008.04859v1

    • [cs.CV]Bipartite Graph Reasoning GANs for Person Image Generation
    Hao Tang, Song Bai, Philip H. S. Torr, Nicu Sebe
    http://arxiv.org/abs/2008.04381v1

    • [cs.CV]ClimAlign: Unsupervised statistical downscaling of climate variables via normalizing flows
    Brian Groenke, Luke Madaus, Claire Monteleoni
    http://arxiv.org/abs/2008.04679v1

    • [cs.CV]DTVNet: Dynamic Time-lapse Video Generation via Single Still Image
    Jiangning Zhang, Chao Xu, Liang Liu, Mengmeng Wang, Xia Wu, Yong Liu, Yunliang Jiang
    http://arxiv.org/abs/2008.04776v1

    • [cs.CV]Deep UAV Localization with Reference View Rendering
    Timo Hinzmann, Roland Siegwart
    http://arxiv.org/abs/2008.04619v1

    • [cs.CV]Detecting Urban Dynamics Using Deep Siamese Convolutional Neural Networks
    Ephrem Admasu Yekun, Petros Reda Samsom
    http://arxiv.org/abs/2008.04829v1

    • [cs.CV]Distributed Multi-agent Video Fast-forwarding
    Shuyue Lan, Zhilu Wang, Amit K. Roy-Chowdhury, Ermin Wei, Qi Zhu
    http://arxiv.org/abs/2008.04437v1

    • [cs.CV]Exposing Deep-faked Videos by Anomalous Co-motion Pattern Detection
    Gengxing Wang, Jiahuan Zhou, Ying Wu
    http://arxiv.org/abs/2008.04848v1

    • [cs.CV]Fast and Accurate Optical Flow based Depth Map Estimation from Light Fields
    Yang Chen, Martin Alain, Aljosa Smolic
    http://arxiv.org/abs/2008.04673v1

    • [cs.CV]Fully-Automated Packaging Structure Recognition in Logistics Environments
    Laura Dörr, Felix Brandt, Martin Pouls, Alexander Naumann
    http://arxiv.org/abs/2008.04620v1

    • [cs.CV]GeLaTO: Generative Latent Textured Objects
    Ricardo Martin-Brualla, Rohit Pandey, Sofien Bouaziz, Matthew Brown, Dan B Goldman
    http://arxiv.org/abs/2008.04852v1

    • [cs.CV]Grasping Field: Learning Implicit Representations for Human Grasps
    Korrawe Karunratanakul, Jinlong Yang, Yan Zhang, Michael Black, Krikamol Muandet, Siyu Tang
    http://arxiv.org/abs/2008.04451v1

    • [cs.CV]Hardware-Centric AutoML for Mixed-Precision Quantization
    Kuan Wang, Zhijian Liu, Yujun Lin, Ji Lin, Song Han
    http://arxiv.org/abs/2008.04878v1

    • [cs.CV]HydraMix-Net: A Deep Multi-task Semi-supervised Learning Approach for Cell Detection and Classification
    R. M. Saad Bashir, Talha Qaiser, Shan E Ahmed Raza, Nasir M. Rajpoot
    http://arxiv.org/abs/2008.04753v1

    • [cs.CV]Invertible Neural BRDF for Object Inverse Rendering
    Zhe Chen, Shohei Nobuhara, Ko Nishino
    http://arxiv.org/abs/2008.04030v2

    • [cs.CV]KBGN: Knowledge-Bridge Graph Network for Adaptive Vision-Text Reasoning in Visual Dialogue
    Xiaoze Jiang, Siyi Du, Zengchang Qin, Yajing Sun, Jing Yu
    http://arxiv.org/abs/2008.04858v1

    • [cs.CV]Key-Nets: Optical Transformation Convolutional Networks for Privacy Preserving Vision Sensors
    Jeffrey Byrne, Brian Decann, Scott Bloom
    http://arxiv.org/abs/2008.04469v1

    • [cs.CV]Keypoint Autoencoders: Learning Interest Points of Semantics
    Ruoxi Shi, Zhengrong Xue, Xinyang Li
    http://arxiv.org/abs/2008.04502v1

    • [cs.CV]Learning Stereo Matchability in Disparity Regression Networks
    Jingyang Zhang, Yao Yao, Zixin Luo, Shiwei Li, Tianwei Shen, Tian Fang, Long Quan
    http://arxiv.org/abs/2008.04800v1

    • [cs.CV]Learning to Cluster under Domain Shift
    Willi Menapace, Stéphane Lathuilière, Elisa Ricci
    http://arxiv.org/abs/2008.04646v1

    • [cs.CV]Learning to See Through Obstructions with Layered Decomposition
    Yu-Lun Liu, Wei-Sheng Lai, Ming-Hsuan Yang, Yung-Yu Chuang, Jia-Bin Huang
    http://arxiv.org/abs/2008.04902v1

    • [cs.CV]Locating Cephalometric X-Ray Landmarks with Foveated Pyramid Attention
    Logan Gilmour, Nilanjan Ray
    http://arxiv.org/abs/2008.04428v1

    • [cs.CV]MHSA-Net: Multi-Head Self-Attention Network for Occluded Person Re-Identification
    Hongchen Tan, Xiuping Liu, Shengjing Tian, Baocai Yin, Xin Li
    http://arxiv.org/abs/2008.04015v2

    • [cs.CV]Measures of Complexity for Large Scale Image Datasets
    Ameet Annasaheb Rahane, Anbumani Subramanian
    http://arxiv.org/abs/2008.04431v1

    • [cs.CV]PROFIT: A Novel Training Method for sub-4-bit MobileNet Models
    Eunhyeok Park, Sungjoo Yoo
    http://arxiv.org/abs/2008.04693v1

    • [cs.CV]R-MNet: A Perceptual Adversarial Network for Image Inpainting
    Jireh Jam, Connah Kendrick, Vincent Drouard, Kevin Walker, Gee-Sern Hsu, Moi Hoon Yap
    http://arxiv.org/abs/2008.04621v1

    • [cs.CV]Real-Time Sign Language Detection using Human Pose Estimation
    Amit Moryossef, Ioannis Tsochantaridis, Roee Aharoni, Sarah Ebling, Srini Narayanan
    http://arxiv.org/abs/2008.04637v1

    • [cs.CV]Reinforced Wasserstein Training for Severity-Aware Semantic Segmentation in Autonomous Driving
    Xiaofeng Liu, Yimeng Zhang, Xiongchang Liu, Song Bai, Site Li, Jane You
    http://arxiv.org/abs/2008.04751v1

    • [cs.CV]Rethinking Pseudo-LiDAR Representation
    Xinzhu Ma, Shinan Liu, Zhiyi Xia, Hongwen Zhang, Xingyu Zeng, Wanli Ouyang
    http://arxiv.org/abs/2008.04582v1

    • [cs.CV]Robust Long-Term Object Tracking via Improved Discriminative Model Prediction
    Seokeon Choi, Junhyun Lee, Yunsung Lee, Alexander Hauptmann
    http://arxiv.org/abs/2008.04722v1

    • [cs.CV]Sharp Multiple Instance Learning for DeepFake Video Detection
    Xiaodan Li, Yining Lang, Yuefeng Chen, Xiaofeng Mao, Yuan He, Shuhui Wang, Hui Xue, Quan Lu
    http://arxiv.org/abs/2008.04585v1

    • [cs.CV]TCL: an ANN-to-SNN Conversion with Trainable Clipping Layers
    Nguyen-Dong Ho, Ik-Joon Chang
    http://arxiv.org/abs/2008.04509v1

    • [cs.CV]Text as Neural Operator: Image Manipulation by Text Instruction
    Tianhao Zhang, Hung-Yu Tseng, Lu Jiang, Weilong Yang, Honglak Lee, Irfan Essa
    http://arxiv.org/abs/2008.04556v1

    • [cs.CV]TextRay: Contour-based Geometric Modeling for Arbitrary-shaped Scene Text Detection
    Fangfang Wang, Yifeng Chen, Fei Wu, Xi Li
    http://arxiv.org/abs/2008.04851v1

    • [cs.CV]TransNet V2: An effective deep network architecture for fast shot transition detection
    Tomáš Souček, Jakub Lokoč
    http://arxiv.org/abs/2008.04838v1

    • [cs.CV]Transfer Learning for Protein Structure Classification and Function Inference at Low Resolution
    Alexander Hudson, Shaogang Gong
    http://arxiv.org/abs/2008.04757v1

    • [cs.CV]Unified Representation Learning for Cross Model Compatibility
    Chien-Yi Wang, Ya-Liang Chang, Shang-Ta Yang, Dong Chen, Shang-Hong Lai
    http://arxiv.org/abs/2008.04821v1

    • [cs.CV]Unsupervised Deep Metric Learning with Transformed Attention Consistency and Contrastive Clustering Loss
    Yang Li, Shichao Kan, Zhihai He
    http://arxiv.org/abs/2008.04378v1

    • [cs.CY]A Survey and Insights on Deployments of the Connected and Autonomous Vehicles in US
    Sanchu Han
    http://arxiv.org/abs/2008.04379v1

    • [cs.CY]Co-design and Co-simulation for Engineering Systems: Insights from the Sustainable Infrastructure Planning Game
    Paul T. Grogan
    http://arxiv.org/abs/2008.04353v1

    • [cs.CY]Common Metrics to Benchmark Human-Machine Teams (HMT): A Review
    Praveen Damacharla, Ahmad Y. Javaid, Jennie J. Gallimore, Vijay K. Devabhaktuni
    http://arxiv.org/abs/2008.04855v1

    • [cs.CY]Comprehensiveness of Archives: A Modern AI-enabled Approach to Build Comprehensive Shared Cultural Heritage
    Abhishek Gupta, Nikitasha Kapoor
    http://arxiv.org/abs/2008.04541v1

    • [cs.CY]Montreal AI Ethics Institute’s (MAIEI) Submission to the World Intellectual Property Organization (WIPO) Conversation on Intellectual Property (IP) and Artificial Intelligence (AI) Second Session
    Allison Cohen, Abhishek Gupta
    http://arxiv.org/abs/2008.04520v1

    • [cs.CY]Report prepared by the Montreal AI Ethics Institute In Response to Mila’s Proposal for a Contact Tracing App
    Allison Cohen, Abhishek Gupta
    http://arxiv.org/abs/2008.04530v1

    • [cs.CY]Security for People with Mental Illness in Telehealth Systems: A Proposal
    Helen Jiang
    http://arxiv.org/abs/2008.03406v1

    • [cs.CY]Social Engagement versus Learning Engagement — An Exploratory Study of FutureLearn Learners
    Lei Shi, Alexandra I. Cristea, Armando M. Toda, Wilk Oliveira
    http://arxiv.org/abs/2008.04811v1

    • [cs.CY]Study on State-of-the-art Cloud Services Integration Capabilities with Autonomous Ground Vehicles
    Praveen Damacharla, Dhwani Mehta, Ahmad Y Javaid, Vijay K. Devabhaktuni
    http://arxiv.org/abs/2008.04853v1

    • [cs.DC]Cerberus: Minimalistic Multi-shard Byzantine-resilient Transaction Processing
    Jelle Hellings, Daniel P. Hughes, Joshua Primero, Mohammad Sadoghi
    http://arxiv.org/abs/2008.04450v1

    • [cs.DC]DV-ARPA: Data Variety Aware Resource Provisioning for Big Data Processing in Accumulative Applications
    Hossein Ahmadvand, Fouzhan Foroutan
    http://arxiv.org/abs/2008.04674v1

    • [cs.DC]Fully Read/Write Fence-Free Work-Stealing with Multiplicity
    Armando Castañeda, Miguel Piña
    http://arxiv.org/abs/2008.04424v1

    • [cs.DC]Holdout SGD: Byzantine Tolerant Federated Learning
    Shahar Azulay, Lior Raz, Amir Globerson, Tomer Koren, Yehuda Afek
    http://arxiv.org/abs/2008.04612v1

    • [cs.DC]Scheduling Methods to Reduce Response Latency of Function as a Service
    Pawel Zuk, Krzysztof Rzadca
    http://arxiv.org/abs/2008.04830v1

    • [cs.DC]TransForm: Formally Specifying Transistency Models and Synthesizing Enhanced Litmus Tests
    Naorin Hossain, Caroline Trippel, Margaret Martonosi
    http://arxiv.org/abs/2008.03578v2

    • [cs.DC]Woodpecker-DL: Accelerating Deep Neural Networks via Hardware-Aware Multifaceted Optimizations
    Yongchao Liu, Yue Jin, Yong Chen, Teng Teng, Hang Ou, Rui Zhao, Yao Zhang
    http://arxiv.org/abs/2008.04567v1

    • [cs.DC]sputniPIC: an Implicit Particle-in-Cell Code for Multi-GPU Systems
    Steven W. D. Chien, Jonas Nylund, Gabriel Bengtsson, Ivy B. Peng, Artur Podobas, Stefano Markidis
    http://arxiv.org/abs/2008.04397v1

    • [cs.DC]tf-Darshan: Understanding Fine-grained I/O Performance in Machine Learning Workloads
    Steven W. D. Chien, Artur Podobas, Ivy B. Peng, Stefano Markidis
    http://arxiv.org/abs/2008.04395v1

    • [cs.DL]Towards a more realistic citation model: The key role of research team sizes
    Staša Milojević
    http://arxiv.org/abs/2008.04711v1

    • [cs.HC]Exploring Navigation Styles in a FutureLearn MOOC
    Lei Shi, Alexandra I. Cristea, Armando M. Toda, Wilk Oliveira
    http://arxiv.org/abs/2008.04373v1

    • [cs.IR]Analysing the Effect of Clarifying Questions on Document Ranking in Conversational Search
    Antonios Minas Krasakis, Mohammad Aliannejadi, Nikos Voskarides, Evangelos Kanoulas
    http://arxiv.org/abs/2008.03717v2

    • [cs.IR]Context Reinforced Neural Topic Modeling over Short Texts
    Jiachun Feng, Zusheng Zhang, Cheng Ding, Yanghui Rao, Haoran Xie
    http://arxiv.org/abs/2008.04545v1

    • [cs.IR]DREAM: A Dynamic Relational-Aware Model for Social Recommendation
    Liqiang Song, Ye Bi, Mengqiu Yao, Zhenyu Wu, Jianming Wang, Jing Xiao
    http://arxiv.org/abs/2008.04579v1

    • [cs.IT]Channel Leakage and Fundamental Limits of Privacy Leakage for Streaming Data
    Song Fang, Quanyan Zhu
    http://arxiv.org/abs/2008.04893v1

    • [cs.IT]Conditions for the existence of a generalization of Rényi divergence
    Rui F. Vigelis, Luiza H. F. de Andrade, Charles C. Cavalcante
    http://arxiv.org/abs/2008.04466v1

    • [cs.IT]Fast Channel Estimation for IRS-Assisted OFDM
    Beixiong Zheng, Changsheng You, Rui Zhang
    http://arxiv.org/abs/2008.04476v1

    • [cs.IT]Lifted Multiplicity Codes
    Lukas Holzbaur, Rina Polyanskaya, Nikita Polyanskii, Ilya Vorobyev, Eitan Yaakobi
    http://arxiv.org/abs/2008.04717v1

    • [cs.IT]Secure Simultaneous Information and Power Transfer for Downlink Multi-user Massive MIMO
    Zahra Goli, S. Mohammad Razavizadeh, Hamed Farhadi, Tommy Svensson
    http://arxiv.org/abs/2008.04352v1

    • [cs.IT]The Ring Learning With Errors Problem: Smearing Condition
    Liljana Babinkostova, Ariana Chin, Aaron Kirtland, Vladyslav Nazarchuk, Esther Plotnick
    http://arxiv.org/abs/2008.04459v1

    • [cs.LG]An Empirical Analysis of Backward Compatibility in Machine Learning Systems
    Megha Srivastava, Besmira Nushi, Ece Kamar, Shital Shah, Eric Horvitz
    http://arxiv.org/abs/2008.04572v1

    • [cs.LG]Balanced k-Means Clustering on an Adiabatic Quantum Computer
    Davis Arthur, Prasanna Date
    http://arxiv.org/abs/2008.04419v1

    • [cs.LG]Byzantine Fault-Tolerant Distributed Machine Learning Using Stochastic Gradient Descent (SGD) and Norm-Based Comparative Gradient Elimination (CGE)
    Nirupam Gupta, Shuo Liu, Nitin H. Vaidya
    http://arxiv.org/abs/2008.04699v1

    • [cs.LG]DeepDrummer : Generating Drum Loops using Deep Learning and a Human in the Loop
    Guillaume Alain, Maxime Chevalier-Boisvert, Frederic Osterrath, Remi Piche-Taillefer
    http://arxiv.org/abs/2008.04391v1

    • [cs.LG]FedNNNN: Norm-Normalized Neural Network Aggregation for Fast and Accurate Federated Learning
    Kenta Nagura, Song Bian, Takashi Sato
    http://arxiv.org/abs/2008.04538v1

    • [cs.LG]Federated Learning via Synthetic Data
    Jack Goetz, Ambuj Tewari
    http://arxiv.org/abs/2008.04489v1

    • [cs.LG]GRIMGEP: Learning Progress for Robust Goal Sampling in Visual Deep Reinforcement Learning
    Grgur Kovač, Adrien Laversanne-Finot, Pierre-Yves Oudeyer
    http://arxiv.org/abs/2008.04388v1

    • [cs.LG]On Learning Language-Invariant Representations for Universal Machine Translation
    Han Zhao, Junjie Hu, Andrej Risteski
    http://arxiv.org/abs/2008.04510v1

    • [cs.LG]PiNet: Attention Pooling for Graph Classification
    Peter Meltzer, Marcelo Daniel Gutierrez Mallea, Peter J. Bentley
    http://arxiv.org/abs/2008.04575v1

    • [cs.LG]Revisiting Adversarially Learned Injection Attacks Against Recommender Systems
    Jiaxi Tang, Hongyi Wen, Ke Wang
    http://arxiv.org/abs/2008.04876v1

    • [cs.LG]S2OSC: A Holistic Semi-Supervised Approach for Open Set Classification
    Yang Yang, Zhen-Qiang Sun, Hui Xiong, Jian Yang
    http://arxiv.org/abs/2008.04662v1

    • [cs.LG]Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation
    Tryambak Gangopadhyay, Sin Yong Tan, Zhanhong Jiang, Rui Meng, Soumik Sarkar
    http://arxiv.org/abs/2008.04882v1

    • [cs.LG]Towards Plausible Differentially Private ADMM Based Distributed Machine Learning
    Jiahao Ding, Jingyi Wang, Guannan Liang, Jinbo Bi, Miao Pan
    http://arxiv.org/abs/2008.04500v1

    • [cs.LG]Unbiased Learning for the Causal Effect of Recommendation
    Masahiro Sato, Sho Takemori, Janmajay Singh, Tomoko Ohkuma
    http://arxiv.org/abs/2008.04563v1

    • [cs.MM]Extension of JPEG XS for Two-Layer Lossless Coding
    Hiroyuki Kobayashi, Hitoshi Kiya
    http://arxiv.org/abs/2008.04558v1

    • [cs.NI]A Survey on Human-centric Communications in Non-cooperative Wireless Relay Networks
    Behrouz Jedari, Feng Xia, Zhaolong Ning
    http://arxiv.org/abs/2008.04651v1

    • [cs.RO]A Comparison of Humanoid Robot Simulators: A Quantitative Approach
    Angel Ayala, Francisco Cruz, Diego Campos, Rodrigo Rubio, Bruno Fernandes, Richard Dazeley
    http://arxiv.org/abs/2008.04627v1

    • [cs.RO]Cable Estimation-Based Control for Wire-Borne Underactuated Brachiating Robots: A Combined Direct-Indirect Adaptive Robust Approach
    Siavash Farzan, Vahid Azimi, Ai-Ping Hu, Jonathan Rogers
    http://arxiv.org/abs/2008.04463v1

    • [cs.RO]Hardware as Policy: Mechanical and Computational Co-Optimization using Deep Reinforcement Learning
    Tianjian Chen, Zhanpeng He, Matei Ciocarlie
    http://arxiv.org/abs/2008.04460v1

    • [cs.RO]Maximizing BCI Human Feedback using Active Learning
    Zizhao Wang, Junyao Shi, Iretiayo Akinola, Peter Allen
    http://arxiv.org/abs/2008.04873v1

    • [cs.RO]Safe and Effective Picking Paths in Clutter given Discrete Distributions of Object Poses
    Rui Wang, Chaitanya Mitash, Shiyang Lu, Daniel Boehm, Kostas E. Bekris
    http://arxiv.org/abs/2008.04465v1

    • [cs.RO]Spatio-temporal Attention Model for Tactile Texture Recognition
    Guanqun Cao, Yi Zhou, Danushka Bollegala, Shan Luo
    http://arxiv.org/abs/2008.04442v1

    • [cs.RO]Visual Imitation Made Easy
    Sarah Young, Dhiraj Gandhi, Shubham Tulsiani, Abhinav Gupta, Pieter Abbeel, Lerrel Pinto
    http://arxiv.org/abs/2008.04899v1

    • [cs.SE]An ad-hoc social network generation approach
    Maurice Tchoupé Tchendji, Martin Xavier Tchembé, Armelle Linda Maténé Kakeu
    http://arxiv.org/abs/2008.04618v1

    • [cs.SE]Challenges in Docker Development: A Large-scale Study Using Stack Overflow
    Mubin Ul Haque, Leonardo Horn Iwaya, M. Ali Babar
    http://arxiv.org/abs/2008.04467v1

    • [cs.SE]Semantic Clone Detection via Probabilistic Software Modeling
    Hannes Thaller, Lukas Linsbauer, Brent van Bladel, Alexander Egyed
    http://arxiv.org/abs/2008.04891v1

    • [cs.SI]A Synthetic Network Generator for Covert Network Analytics
    Amr Elsisy, Aamir Mandviwalla, Boleslaw Szymanski, Thomas Sharkey
    http://arxiv.org/abs/2008.04445v1

    • [cs.SI]Directional Laplacian Centrality for Cyber Situational Awareness
    Sinan G. Aksoy, Emilie Purvine, Stephen J. Young
    http://arxiv.org/abs/2008.04357v1

    • [cs.SI]Impact of natural disasters on consumer behavior: case of the 2017 El Nino phenomenon in Peru
    Hugo Alatrista-Salas, Vincent Gauthier, Miguel Nunez-del-Prado, Monique Becker
    http://arxiv.org/abs/2008.04887v1

    • [cs.SI]PIS: A Multi-dimensional Routing Protocol for Socially-aware Networking
    Feng Xia, Li Liu, Behrouz Jedari, Sajal K. Das
    http://arxiv.org/abs/2008.04654v1

    • [cs.SI]Scientific Article Recommendation: Exploiting Common Author Relations and Historical Preferences
    Feng Xia, Haifeng Liu, Ivan Lee, Longbing Cao
    http://arxiv.org/abs/2008.04652v1

    • [cs.SI]Social Distancing Beliefs and Human Mobility: Evidence from Twitter
    Simon Porcher, Thomas Renault
    http://arxiv.org/abs/2008.04826v1

    • [cs.SI]Socially-Aware Conference Participant Recommendation with Personality Traits
    Feng Xia, Nana Yaw Asabere, Haifeng Liu, Zhen Chen, Wei Wang
    http://arxiv.org/abs/2008.04653v1

    • [cs.SI]The Turing Test for Graph Drawing Algorithms
    Helen C. Purchase, Daniel Archambault, Stephen Kobourov, Martin Nöllenburg, Sergey Pupyrev, Hsiang-Yun Wu
    http://arxiv.org/abs/2008.04869v1

    • [cs.SI]Using Network Embeddings for Improving Network Alignment
    Pietro Hiram Guzzi
    http://arxiv.org/abs/2008.04581v1

    • [econ.EM]Convergence rate of estimators of clustered panel models with misclassification
    Andreas Dzemski, Ryo Okui
    http://arxiv.org/abs/2008.04708v1

    • [eess.AS]Bunched LPCNet : Vocoder for Low-cost Neural Text-To-Speech Systems
    Ravichander Vipperla, Sangjun Park, Kihyun Choo, Samin Ishtiaq, Kyoungbo Min, Sourav Bhattacharya, Abhinav Mehrotra, Alberto Gil C. P. Ramos, Nicholas D. Lane
    http://arxiv.org/abs/2008.04574v1

    • [eess.AS]Investigation of End-To-End Speaker-Attributed ASR for Continuous Multi-Talker Recordings
    Naoyuki Kanda, Xuankai Chang, Yashesh Gaur, Xiaofei Wang, Zhong Meng, Zhuo Chen, Takuya Yoshioka
    http://arxiv.org/abs/2008.04546v1

    • [eess.AS]Neural PLDA Modeling for End-to-End Speaker Verification
    Shreyas Ramoji, Prashant Krishnan, Sriram Ganapathy
    http://arxiv.org/abs/2008.04527v1

    • [eess.AS]PoCoNet: Better Speech Enhancement with Frequency-Positional Embeddings, Semi-Supervised Conversational Data, and Biased Loss
    Umut Isik, Ritwik Giri, Neerad Phansalkar, Jean-Marc Valin, Karim Helwani, Arvindh Krishnaswamy
    http://arxiv.org/abs/2008.04470v1

    • [eess.AS]Spectrum and Prosody Conversion for Cross-lingual Voice Conversion with CycleGAN
    Zongyang Du, Kun Zhou, Berrak Sisman, Haizhou Li
    http://arxiv.org/abs/2008.04562v1

    • [eess.AS]Surgical Mask Detection with Convolutional Neural Networks and Data Augmentations on Spectrograms
    Steffen Illium, Robert Müller, Andreas Sedlmeier, Claudia Linnhoff-Popien
    http://arxiv.org/abs/2008.04590v1

    • [eess.AS]TinySpeech: Attention Condensers for Deep Speech Recognition Neural Networks on Edge Devices
    Alexander Wong, Mahmoud Famouri, Maya Pavlova, Siddharth Surana
    http://arxiv.org/abs/2008.04245v2

    • [eess.AS]Transformer with Bidirectional Decoder for Speech Recognition
    Xi Chen, Songyang Zhang, Dandan Song, Peng Ouyang, Shouyi Yin
    http://arxiv.org/abs/2008.04481v1

    • [eess.AS]Why Did the x-Vector System Miss a Target Speaker? Impact of Acoustic Mismatch Upon Target Score on VoxCeleb Data
    Rosa González Hautamäki, Tomi Kinnunen
    http://arxiv.org/abs/2008.04578v1

    • [eess.IV]3D FLAT: Feasible Learned Acquisition Trajectories for Accelerated MRI
    Jonathan Alush-Aben, Linor Ackerman-Schraier, Tomer Weiss, Sanketh Vedula, Ortal Senouf, Alex Bronstein
    http://arxiv.org/abs/2008.04808v1

    • [eess.IV]ARPM-net: A novel CNN-based adversarial method with Markov Random Field enhancement for prostate and organs at risk segmentation in pelvic CT images
    Zhuangzhuang Zhang, Tianyu Zhao, Hiram Gay, Weixiong Zhang, Baozhou Sun
    http://arxiv.org/abs/2008.04488v1

    • [eess.IV]Artificial Intelligence to Assist in Exclusion of Coronary Atherosclerosis during CCTA Evaluation of Chest-Pain in the Emergency Department: Preparing an Application for Real-World Use
    Richard D. White, Barbaros S. Erdal, Mutlu Demirer, Vikash Gupta, Matthew T. Bigelow, Engin Dikici, Sema Candemir, Mauricio S. Galizia, Jessica L. Carpenter, Thomas P. O Donnell, Abdul H. Halabi, Luciano M. Prevedello
    http://arxiv.org/abs/2008.04802v1

    • [eess.IV]AtrialJSQnet: A New Framework for Joint Segmentation and Quantification of Left Atrium and Scars Incorporating Spatial and Shape Information
    Lei Li, Veronika A. Zimmer, Julia A. Schnabel, Xiahai Zhuang
    http://arxiv.org/abs/2008.04729v1

    • [eess.IV]GANBERT: Generative Adversarial Networks with Bidirectional Encoder Representations from Transformers for MRI to PET synthesis
    Hoo-Chang Shin, Alvin Ihsani, Swetha Mandava, Sharath Turuvekere Sreenivas, Christopher Forster, Jiook Cha, Alzheimer’s Disease Neuroimaging Initiative
    http://arxiv.org/abs/2008.04393v1

    • [eess.IV]GANDALF: Generative Adversarial Networks with Discriminator-Adaptive Loss Fine-tuning for Alzheimer’s Disease Diagnosis from MRI
    Hoo-Chang Shin, Alvin Ihsani, Ziyue Xu, Swetha Mandava, Sharath Turuvekere Sreenivas, Christopher Forster, Jiook Cha, Alzheimer’s Disease Neuroimaging Initiative
    http://arxiv.org/abs/2008.04396v1

    • [eess.IV]Implanting Synthetic Lesions for Improving Liver Lesion Segmentation in CT Exams
    Dario Augusto Borges Oliveira
    http://arxiv.org/abs/2008.04690v1

    • [eess.IV]Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection
    Serkan Kiranyaz, Aysen Degerli, Tahir Hamid, Rashid Mazhar, Rayyan Ahmed, Rayaan Abouhasera, Morteza Zabihi, Junaid Malik, Ridha Hamila, Moncef Gabbouj
    http://arxiv.org/abs/2008.04615v1

    • [eess.IV]Multi-modal segmentation of 3D brain scans using neural networks
    Jonathan Zopes, Moritz Platscher, Silvio Paganucci, Christian Federau
    http://arxiv.org/abs/2008.04594v1

    • [eess.IV]Predicting Risk of Developing Diabetic Retinopathy using Deep Learning
    Ashish Bora, Siva Balasubramanian, Boris Babenko, Sunny Virmani, Subhashini Venugopalan, Akinori Mitani, Guilherme de Oliveira Marinho, Jorge Cuadros, Paisan Ruamviboonsuk, Greg S Corrado, Lily Peng, Dale R Webster, Avinash V Varadarajan, Naama Hammel, Yun Liu, Pinal Bavishi
    http://arxiv.org/abs/2008.04370v1

    • [eess.IV]SAFRON: Stitching Across the Frontier for Generating Colorectal Cancer Histology Images
    Srijay Deshpande, Fayyaz Minhas, Simon Graham, Nasir Rajpoot
    http://arxiv.org/abs/2008.04526v1

    • [eess.IV]TextureWGAN: Texture Preserving WGAN with MLE Regularizer for Inverse Problems
    Masaki Ikuta, Jun Zhang
    http://arxiv.org/abs/2008.04861v1

    • [eess.IV]Thick Cloud Removal of Remote Sensing Images Using Temporal Smoothness and Sparsity-Regularized Tensor Optimization
    Chenxi Duan, Jun Pan, Rui Li
    http://arxiv.org/abs/2008.04529v1

    • [eess.SP]Residual Generation Using Physically-Based Grey-Box Recurrent Neural Networks For Engine Fault Diagnosis
    Daniel Jung
    http://arxiv.org/abs/2008.04644v1

    • [eess.SY]An Intelligent Control Strategy for buck DC-DC Converter via Deep Reinforcement Learning
    Chenggang Cui, Nan Yan, Chuanlin Zhang
    http://arxiv.org/abs/2008.04542v1

    • [eess.SY]Comparison of Model Predictive and Reinforcement Learning Methods for Fault Tolerant Control
    Ibrahim Ahmed, Hamed Khorasgani, Gautam Biswas
    http://arxiv.org/abs/2008.04403v1

    • [eess.SY]Fault-Tolerant Control of Degrading Systems with On-Policy Reinforcement Learning
    Ibrahim Ahmed, Marcos Quiñones-Grueiro, Gautam Biswas
    http://arxiv.org/abs/2008.04407v1

    • [eess.SY]Full and Reduced Order Observers for Image-based Depth Estimation using Concurrent Learning
    Ghananeel Rotithor, Daniel Trombetta, Rushikesh Kamalapurkar, Ashwin Dani
    http://arxiv.org/abs/2008.04809v1

    • [eess.SY]Learning Event-triggered Control from Data through Joint Optimization
    Niklas Funk, Dominik Baumann, Vincent Berenz, Sebastian Trimpe
    http://arxiv.org/abs/2008.04712v1

    • [math.OC]A Two-Stage Metaheuristic Algorithm for the Dynamic Vehicle Routing Problem in Industry 4.0 approach
    Maryam Abdirad, Krishna Krishnan, Deepak Gupta
    http://arxiv.org/abs/2008.04355v1

    • [math.OC]Riemannian stochastic recursive momentum method for non-convex optimization
    Andi Han, Junbin Gao
    http://arxiv.org/abs/2008.04555v1

    • [math.ST]Bayesian selective inference: sampling models and non-informative priors
    Daniel G. Rasines, G. Alastair Young
    http://arxiv.org/abs/2008.04584v1

    • [math.ST]Design based incomplete U-statistics
    Xiangshun Kong, Wei Zheng
    http://arxiv.org/abs/2008.04348v1

    • [math.ST]Estimating the logarithm of characteristic function and stability parameter for symmetric stable laws
    Annika Krutto, Jüri Lember
    http://arxiv.org/abs/2008.04423v1

    • [math.ST]Estimation of Static Community Memberships from Temporal Network Data
    Konstantin Avrachenkov, Lasse Leskelä, Maximilien Dreveton
    http://arxiv.org/abs/2008.04790v1

    • [math.ST]Evidence bounds in singular models: probabilistic and variational perspectives
    Anirban Bhattacharya, Debdeep Pati, Sean Plummer
    http://arxiv.org/abs/2008.04537v1

    • [math.ST]Stick-breaking processes with exchangeable length variables
    María F. Gil-Leyva, Ramsés H. Mena
    http://arxiv.org/abs/2008.04475v1

    • [physics.comp-ph]Uncertainty Quantification of Locally Nonlinear Dynamical Systems using Neural Networks
    Subhayan De
    http://arxiv.org/abs/2008.04598v1

    • [physics.soc-ph]Attention dynamics on the Chinese social media Sina Weibo during the COVID-19 pandemic
    Hao Cui, János Kertész
    http://arxiv.org/abs/2008.04418v1

    • [stat.AP]The shapes of an epidemic: using Functional Data Analysis to characterize COVID-19 in Italy
    Tobia Boschi, Jacopo Di Iorio, Lorenzo Testa, Marzia A. Cremona, Francesca Chiaromonte
    http://arxiv.org/abs/2008.04700v1

    • [stat.AP]Use of IT tools to search for a correlation between weather factors and onset of pulmonary thromboembolism
    Antonio Bernini, Lorella Bonaccorsi, Pietro Fanti, Francesco Ranaldi, Ugo Santosuosso
    http://arxiv.org/abs/2008.04706v1

    • [stat.ME](Almost) All of Entity Resolution
    Olivier Binette, Rebecca C. Steorts
    http://arxiv.org/abs/2008.04443v1

    • [stat.ME]A note of feature screening via rank-based coefficient of correlation
    Li-Pang Chen
    http://arxiv.org/abs/2008.04456v1

    • [stat.ME]Bayesian Analysis on Limiting the Student-$t$ Linear Regression Model
    Yoshiko Hayashi
    http://arxiv.org/abs/2008.04522v1

    • [stat.ME]Frequent or Systematic Changes? discussion on “Detecting possibly frequent change-points: Wild Binary Segmentation 2 and steepest-drop model selection.”
    Myung Hwan Seo
    http://arxiv.org/abs/2008.04544v1

    • [stat.ME]Locally associated graphical models
    Steffen Lauritzen, Piotr Zwiernik
    http://arxiv.org/abs/2008.04688v1

    • [stat.ME]Test for mean matrix in GMANOVA model under heteroscedasticity and non-normality for high-dimensional data
    Takayuki Yamada, Tetsuto Himeno, Annika Tillander, Tatjana Pavlenko
    http://arxiv.org/abs/2008.04692v1

    • [stat.ME]The von Mises-Fisher Procrustes model in functional Magnetic Resonance Imaging data
    Angela Andreella, Livio Finos
    http://arxiv.org/abs/2008.04631v1

    • [stat.ME]Varying impacts of letters of recommendation on college admissions: Approximate balancing weights for subgroup effects in observational studies
    Eli Ben-Michael, Avi Feller, Jesse Rothstein
    http://arxiv.org/abs/2008.04394v1

    • [stat.ML]Airflow recovery from thoracic and abdominal movements using Synchrosqueezing Transform and Locally Stationary Gaussian Process Regression
    Whitney K. Huang, Yu-Min Chung, Yu-Bo Wang, Jeff E. Mandel, Hau-Tieng Wu
    http://arxiv.org/abs/2008.04473v1

    • [stat.ML]Deep State-Space Gaussian Processes
    Zheng Zhao, Muhammad Emzir, Simo Särkkä
    http://arxiv.org/abs/2008.04733v1

    • [stat.ML]Error Bounds for Generalized Group Sparsity
    Xinyu Zhang
    http://arxiv.org/abs/2008.04734v1

    • [stat.ML]IGANI: Iterative Generative Adversarial Networks for Imputation Applied to Prediction of Traffic Data
    Amir Kazemi, Hadi Meidani
    http://arxiv.org/abs/2008.04847v1

    • [stat.ML]Optimal Combination of Linear and Spectral Estimators for Generalized Linear Models
    Marco Mondelli, Christos Thrampoulidis, Ramji Venkataramanan
    http://arxiv.org/abs/2008.03326v2

    • [stat.ML]Probability Link Models with Symmetric Information Divergence
    Majid Asadi, Karthik Devarajan, Nader Ebrahimi, Ehsan Soofi, Lauren Spirko-Burns
    http://arxiv.org/abs/2008.04387v1