astro-ph.CO - 宇宙学和天体物理学

    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.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 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.SI - 社交网络与信息网络 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.NA - 数值分析 math.OC - 优化与控制 math.ST - 统计理论 nlin.AO - 适应和自组织系统 physics.chem-ph -化学物理 physics.comp-ph - 计算物理学 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.CO]A Hierarchical Bayesian SED Model for Type Ia Supernovae in the Optical to Near-Infrared
    • [cs.AI]Analysis of Social Robotic Navigation approaches: CNN Encoder and Active Learning as an alternative to Deep Reinforcement Learning
    • [cs.AI]Deploying Lifelong Open-Domain Dialogue Learning
    • [cs.AI]Inductive logic programming at 30: a new introduction
    • [cs.AI]Learning Fair Policies in Multiobjective (Deep) Reinforcement Learning with Average and Discounted Rewards
    • [cs.AI]ReLMoGen: Leveraging Motion Generation in Reinforcement Learning for Mobile Manipulation
    • [cs.AI]Resolving Intent Ambiguities by Retrieving Discriminative Clarifying Questions
    • [cs.AI]Runtime-Safety-Guided Policy Repair
    • [cs.AI]Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning
    • [cs.AI]Trust and Medical AI: The challenges we face and the expertise needed to overcome them
    • [cs.AI]XNAP: Making LSTM-based Next Activity Predictions Explainable by Using LRP
    • [cs.CL]Are Neural Open-Domain Dialog Systems Robust to Speech Recognition Errors in the Dialog History? An Empirical Study
    • [cs.CL]COVID-SEE: Scientific Evidence Explorer for COVID-19 Related Research
    • [cs.CL]Deep Search Query Intent Understanding
    • [cs.CL]Glancing Transformer for Non-Autoregressive Neural Machine Translation
    • [cs.CL]HunFlair: An Easy-to-Use Tool for State-of-the-Art Biomedical Named Entity Recognition
    • [cs.CL]NASE: Learning Knowledge Graph Embedding for Link Prediction via Neural Architecture Search
    • [cs.CL]Stock Index Prediction with Multi-task Learning and Word Polarity Over Time
    • [cs.CL]Very Deep Transformers for Neural Machine Translation
    • [cs.CR]Efficient Private Machine Learning by Differentiable Random Transformations
    • [cs.CR]Privacy-preserving feature selection: A survey and proposing a new set of protocols
    • [cs.CV]A Deep Dive into Adversarial Robustness in Zero-Shot Learning
    • [cs.CV]A Smartphone-based System for Real-time Early Childhood Caries Diagnosis
    • [cs.CV]AB3DMOT: A Baseline for 3D Multi-Object Tracking and New Evaluation Metrics
    • [cs.CV]Anomaly Detection with Convolutional Autoencoders for Fingerprint Presentation Attack Detection
    • [cs.CV]AssembleNet++: Assembling Modality Representations via Attention Connections
    • [cs.CV]Communicative Reinforcement Learning Agents for Landmark Detection in Brain Images
    • [cs.CV]Contact Area Detector using Cross View Projection Consistency for COVID-19 Projects
    • [cs.CV]ConvGRU in Fine-grained Pitching Action Recognition for Action Outcome Prediction
    • [cs.CV]Dataset Bias in Few-shot Image Recognition
    • [cs.CV]Depth Completion with RGB Prior
    • [cs.CV]Describing Unseen Videos via Multi-ModalCooperative Dialog Agents
    • [cs.CV]Domain Generalizer: A Few-shot Meta Learning Framework for Domain Generalization in Medical Imaging
    • [cs.CV]EASTER: Efficient and Scalable Text Recognizer
    • [cs.CV]Equivalent Classification Mapping for Weakly Supervised Temporal Action Localization
    • [cs.CV]Feature Products Yield Efficient Networks
    • [cs.CV]Gradients as a Measure of Uncertainty in Neural Networks
    • [cs.CV]Hierarchical HMM for Eye Movement Classification
    • [cs.CV]Image Pre-processing on NumtaDB for Bengali Handwritten Digit Recognition
    • [cs.CV]Knowledge Transfer via Dense Cross-Layer Mutual-Distillation
    • [cs.CV]Lazy caterer jigsaw puzzles: Models, properties, and a mechanical system-based solver
    • [cs.CV]Learning Graph Edit Distance by Graph Neural Networks
    • [cs.CV]Linguistically-aware Attention for Reducing the Semantic-Gap in Vision-Language Tasks
    • [cs.CV]MaskedFace-Net — A Dataset of Correctly/Incorrectly Masked Face Images in the Context of COVID-19
    • [cs.CV]Mastering Large Scale Multi-label Image Recognition with high efficiency overCamera trap images
    • [cs.CV]Mesh Guided One-shot Face Reenactment using Graph Convolutional Networks
    • [cs.CV]Motion Capture from Internet Videos
    • [cs.CV]Multilanguage Number Plate Detection using Convolutional Neural Networks
    • [cs.CV]Multiple View Generation and Classification of Mid-wave Infrared Images using Deep Learning
    • [cs.CV]One-pixel Signature: Characterizing CNN Models for Backdoor Detection
    • [cs.CV]Person image generation with semantic attention network for person re-identification
    • [cs.CV]Pix2Surf: Learning Parametric 3D Surface Models of Objects from Images
    • [cs.CV]Reinforcement Learning for Improving Object Detection
    • [cs.CV]Retargetable AR: Context-aware Augmented Reality in Indoor Scenes based on 3D Scene Graph
    • [cs.CV]Self-supervised Sparse to Dense Motion Segmentation
    • [cs.CV]SoDA: Multi-Object Tracking with Soft Data Association
    • [cs.CV]Tackling the Unannotated: Scene Graph Generation with Bias-Reduced Models
    • [cs.CV]Visibility-aware Multi-view Stereo Network
    • [cs.CY]How to organize a hackathon — A planning kit
    • [cs.CY]Implementation of Course Recommender System for Virtual University of Pakistan
    • [cs.CY]Modeling, Visualization, and Analysis of African Innovation Performance
    • [cs.CY]Turing Test and the Practice of Law: The Role of Autonomous Levels of AI Legal Reasoning
    • [cs.CY]Usable Security for ML Systems in Mental Health: A Framework
    • [cs.DB]The Relational Data Borg is Learning
    • [cs.DC]Benchmarking network fabrics for data distributed training of deep neural networks
    • [cs.DC]Compute, Time and Energy Characterization of Encoder-Decoder Networks with Automatic Mixed Precision Training
    • [cs.DC]From Zero to Fog: Efficient Engineering of Fog-Based IoT Applications
    • [cs.DC]Utility-based Resource Allocation and Pricing for Serverless Computing
    • [cs.DS]New Quality Metrics for Dynamic Graph Drawing
    • [cs.DS]Robust Mean Estimation on Highly Incomplete Data with Arbitrary Outliers
    • [cs.DS]SF-GRASS: Solver-Free Graph Spectral Sparsification
    • [cs.HC]Sequence-to-Sequence Predictive Model: From Prosody To Communicative Gestures
    • [cs.IR]An Annotated Corpus of Webtables for Information Extraction Tasks
    • [cs.IR]Learning the Structure of Auto-Encoding Recommenders
    • [cs.IR]MTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction
    • [cs.IR]Relational Reflection Entity Alignment
    • [cs.IR]S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization
    • [cs.IT]A Two Stage Generalized Block Orthogonal Matching Pursuit (TSGBOMP) Algorithm
    • [cs.IT]Age of Information in Random Access Networks: A Spatiotemporal Study
    • [cs.IT]Deepcode and Modulo-SK are Designed for Different Settings
    • [cs.IT]Design of a Stochastic Traffic Regulator for End-to-End Network Delay Guarantees
    • [cs.IT]End-to-End Rate Enhancement in C-RAN Using Multi-Pair Two-Way Computation
    • [cs.IT]Information-Theoretic Privacy in Federated Submodel learning
    • [cs.IT]On the Error Exponent of Approximate Sufficient Statistics for M-ary Hypothesis Testing
    • [cs.IT]Reinforcement Learning Evaluation and Solution for the Feedback Capacity of the Ising Channel with Large Alphabet
    • [cs.LG]A Formally Robust Time Series Distance Metric
    • [cs.LG]A Hierarchical User Intention-Habit Extract Network for Credit Loan Overdue Risk Detection
    • [cs.LG]Adaptive Distillation for Decentralized Learning from Heterogeneous Clients
    • [cs.LG]Differentially Private Clustering: Tight Approximation Ratios
    • [cs.LG]Ensemble Node Embeddings using Tensor Decomposition: A Case-Study on DeepWalk
    • [cs.LG]HiPPO: Recurrent Memory with Optimal Polynomial Projections
    • [cs.LG]Improving adversarial robustness of deep neural networks by using semantic information
    • [cs.LG]Inverse Distance Aggregation for Federated Learning with Non-IID Data
    • [cs.LG]Joint Variational Autoencoders for Recommendation with Implicit Feedback
    • [cs.LG]Learning Two-Layer Residual Networks with Nonparametric Function Estimation by Convex Programming
    • [cs.LG]Learning from Irregularly-Sampled Time Series: A Missing Data Perspective
    • [cs.LG]Linear Disentangled Representations and Unsupervised Action Estimation
    • [cs.LG]Moment Multicalibration for Uncertainty Estimation
    • [cs.LG]Multi-Modal Trajectory Prediction of NBA Players
    • [cs.LG]Optimal Best-Arm Identification Methods for Tail-Risk Measures
    • [cs.LG]Ordinal Pattern Kernel for Brain Connectivity Network Classification
    • [cs.LG]Parallel Extraction of Long-term Trends and Short-term Fluctuation Framework for Multivariate Time Series Forecasting
    • [cs.LG]Personalized Deep Learning for Ventricular Arrhythmias Detection on Medical IoT Systems
    • [cs.LG]Positive semidefinite support vector regression metric learning
    • [cs.LG]Predicting Future Sales of Retail Products using Machine Learning
    • [cs.LG]Provably Efficient Reward-Agnostic Navigation with Linear Value Iteration
    • [cs.LG]RTFN: Robust Temporal Feature Network
    • [cs.LG]Ranking Clarification Questions via Natural Language Inference
    • [cs.LG]Revisiting the Application of Feature Selection Methods to Speech Imagery BCI Datasets
    • [cs.LG]Robust Low-rank Matrix Completion via an Alternating Manifold Proximal Gradient Continuation Method
    • [cs.LG]Selecting Data Adaptive Learner from Multiple Deep Learners using Bayesian Networks
    • [cs.LG]Shared MF: A privacy-preserving recommendation system
    • [cs.LG]Stochastic Adaptive Line Search for Differentially Private Optimization
    • [cs.LG]Towards Closing the Sim-to-Real Gap in Collaborative Multi-Robot Deep Reinforcement Learning
    • [cs.LG]Training Deep Neural Networks Without Batch Normalization
    • [cs.LG]Transferring Complementary Operating Conditions for Anomaly Detection
    • [cs.LG]When Hardness of Approximation Meets Hardness of Learning
    • [cs.LG]Whitening and second order optimization both destroy information about the dataset, and can make generalization impossible
    • [cs.LG]Word2vec Skip-gram Dimensionality Selection via Sequential Normalized Maximum Likelihood
    • [cs.NI]AoI-based Multicast Routing over Voronoi Overlays with Minimal Overhead
    • [cs.NI]Deconstructing the Decentralization Trilemma
    • [cs.RO]PufferBot: Actuated Expandable Structures for Aerial Robots
    • [cs.RO]REFORM: Recognizing F-formations for Social Robots
    • [cs.RO]Residual Learning from Demonstration
    • [cs.RO]Soft Multicopter Control using Neural Dynamics Identification
    • [cs.RO]The MRS UAV System: Pushing the Frontiers of Reproducible Research, Real-world Deployment, and Education with Autonomous Unmanned Aerial Vehicles
    • [cs.RO]Ubiquitous Distributed Deep Reinforcement Learning at the Edge: Analyzing Byzantine Agents in Discrete Action Spaces
    • [cs.SD]PopMAG: Pop Music Accompaniment Generation
    • [cs.SI]DRGraph: An Efficient Graph Layout Algorithm for Large-scale Graphs by Dimensionality Reduction
    • [cs.SI]FANG: Leveraging Social Context for Fake News Detection Using Graph Representation
    • [cs.SI]Mining Large Quasi-cliques with Quality Guarantees from Vertex Neighborhoods
    • [eess.AS]A Real-time Robot-based Auxiliary System for Risk Evaluation of COVID-19 Infection
    • [eess.AS]Adversarial Attack and Defense Strategies for Deep Speaker Recognition Systems
    • [eess.AS]CinC-GAN for Effective F0 prediction for Whisper-to-Normal Speech Conversion
    • [eess.AS]Deep Learning Based Source Separation Applied To Choir Ensembles
    • [eess.IV]A Deep Network for Joint Registration and Reconstruction of Images with Pathologies
    • [eess.IV]Anatomy-Aware Cardiac Motion Estimation
    • [eess.IV]Comparison of Convolutional neural network training parameters for detecting Alzheimers disease and effect on visualization
    • [eess.IV]Fully automated deep learning based segmentation of normal, infarcted and edema regions from multiple cardiac MRI sequences
    • [eess.IV]Grading Loss: A Fracture Grade-based Metric Loss for Vertebral Fracture Detection
    • [eess.IV]Offloading Optimization in Edge Computing for Deep Learning Enabled Target Tracking by Internet-of-UAVs
    • [eess.IV]Self-supervised Denoising via Diffeomorphic Template Estimation: Application to Optical Coherence Tomography
    • [eess.IV]UDC 2020 Challenge on Image Restoration of Under-Display Camera: Methods and Results
    • [eess.SP]DeepSlicing: Deep Reinforcement Learning Assisted Resource Allocation for Network Slicing
    • [eess.SP]Massively Distributed Antenna Systems with Non-Ideal Optical Fiber Front-hauls: A Promising Technology for 6G Wireless Communication Systems
    • [eess.SP]SWAN: Swarm-Based Low-Complexity Scheme for PAPR Reduction
    • [eess.SY]Bridging the Gap between Optimal Trajectory Planning and Safety-Critical Control with Applications to Autonomous Vehicles
    • [math.NA]Fast algorithms for robust principal component analysis with an upper bound on the rank
    • [math.OC]A Relation Analysis of Markov Decision Process Frameworks
    • [math.OC]On the Convergence of Consensus Algorithms with Markovian Noise and Gradient Bias
    • [math.ST]A Note on the Sum of Non-Identically Distributed Doubly Truncated Normal Distributions
    • [math.ST]On Weighted Extropies
    • [nlin.AO]Information theory and player deck choice in online Collectable Card Games
    • [physics.chem-ph]Closed-Loop Design of Proton Donors for Lithium-Mediated Ammonia Production with Interpretable Models and Molecular Machine Learning
    • [physics.comp-ph]Efficient planning of peen-forming patterns via artificial neural networks
    • [physics.soc-ph]A generalized linear threshold model for an improved description of the spreading dynamics
    • [physics.soc-ph]Hidden order in online extremism and its disruption by nudging collective chemistry
    • [q-bio.NC]On the Evolution of Subjective Experience
    • [quant-ph]Just another quantum assembly language (Jaqal)
    • [stat.AP]Clustering of variables for enhanced interpretability of predictive models
    • [stat.AP]Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark
    • [stat.AP]Glucodensities: a new representation of glucose profiles using distributional data analysis
    • [stat.AP]Neural networks in day-ahead electricity price forecasting: Single vs. multiple outputs
    • [stat.AP]Seamless multi-model postprocessing for air temperature forecasts in complex topography
    • [stat.AP]Survival analysis for AdVerse events with VarYing follow-up times (SAVVY) — comparison of adverse event risks in randomized controlled trials
    • [stat.AP]Survival analysis for AdVerse events with VarYing follow-up times (SAVVY) — estimation of adverse event risks
    • [stat.ME]Analysis of Left Truncated and Right Censored Competing Risks Data
    • [stat.ME]Estimation of causal effects of multiple treatments in healthcare database studies with rare outcomes
    • [stat.ME]Learning Structure in Nested Logit Models
    • [stat.ME]Regression with a right-censored predictor, using inverse probability weighting methods
    • [stat.ME]Selecting the Derivative of a Functional Covariate in Scalar-on-Function Regression
    • [stat.ML]Bayesian geoacoustic inversion using mixture density network
    • [stat.ML]Bayesian neural networks and dimensionality reduction
    • [stat.ML]Fast Approximate Bayesian Contextual Cold Start Learning (FAB-COST)
    • [stat.ML]Nonparametric Conditional Density Estimation In A Deep Learning Framework For Short-Term Forecasting

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

    • [astro-ph.CO]A Hierarchical Bayesian SED Model for Type Ia Supernovae in the Optical to Near-Infrared
    Kaisey S. Mandel, Stephen Thorp, Gautham Narayan, Andrew S. Friedman, Arturo Avelino
    http://arxiv.org/abs/2008.07538v1

    • [cs.AI]Analysis of Social Robotic Navigation approaches: CNN Encoder and Active Learning as an alternative to Deep Reinforcement Learning
    Janderson Ferreira, Agostinho A. F. Júnior, Letícia Castro, Yves M. Galvão, Pablo Barros, Bruno J. T. Fernandes
    http://arxiv.org/abs/2008.07965v1

    • [cs.AI]Deploying Lifelong Open-Domain Dialogue Learning
    Kurt Shuster, Jack Urbanek, Emily Dinan, Arthur Szlam, Jason Weston
    http://arxiv.org/abs/2008.08076v1

    • [cs.AI]Inductive logic programming at 30: a new introduction
    Andrew Cropper, Sebastijan Dumančić
    http://arxiv.org/abs/2008.07912v1

    • [cs.AI]Learning Fair Policies in Multiobjective (Deep) Reinforcement Learning with Average and Discounted Rewards
    Umer Siddique, Paul Weng, Matthieu Zimmer
    http://arxiv.org/abs/2008.07773v1

    • [cs.AI]ReLMoGen: Leveraging Motion Generation in Reinforcement Learning for Mobile Manipulation
    Fei Xia, Chengshu Li, Roberto Martín-Martín, Or Litany, Alexander Toshev, Silvio Savarese
    http://arxiv.org/abs/2008.07792v1

    • [cs.AI]Resolving Intent Ambiguities by Retrieving Discriminative Clarifying Questions
    Kaustubh D. Dhole
    http://arxiv.org/abs/2008.07559v1

    • [cs.AI]Runtime-Safety-Guided Policy Repair
    Weichao Zhou, Ruihan Gao, BaekGyu Kim, Eunsuk Kang, Wenchao Li
    http://arxiv.org/abs/2008.07667v1

    • [cs.AI]Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning
    Florian Fuchs, Yunlong Song, Elia Kaufmann, Davide Scaramuzza, Peter Duerr
    http://arxiv.org/abs/2008.07971v1

    • [cs.AI]Trust and Medical AI: The challenges we face and the expertise needed to overcome them
    Thomas P. Quinn, Manisha Senadeera, Stephan Jacobs, Simon Coghlan, Vuong Le
    http://arxiv.org/abs/2008.07734v1

    • [cs.AI]XNAP: Making LSTM-based Next Activity Predictions Explainable by Using LRP
    Sven Weinzierl, Sandra Zilker, Jens Brunk, Kate Revoredo, Martin Matzner, Jörg Becker
    http://arxiv.org/abs/2008.07993v1

    • [cs.CL]Are Neural Open-Domain Dialog Systems Robust to Speech Recognition Errors in the Dialog History? An Empirical Study
    Karthik Gopalakrishnan, Behnam Hedayatnia, Longshaokan Wang, Yang Liu, Dilek Hakkani-Tur
    http://arxiv.org/abs/2008.07683v1

    • [cs.CL]COVID-SEE: Scientific Evidence Explorer for COVID-19 Related Research
    Karin Verspoor, Simon Šuster, Yulia Otmakhova, Shevon Mendis, Zenan Zhai, Biaoyan Fang, Jey Han Lau, Timothy Baldwin, Antonio Jimeno Yepes, David Martinez
    http://arxiv.org/abs/2008.07880v1

    • [cs.CL]Deep Search Query Intent Understanding
    Xiaowei Liu, Weiwei Guo, Huiji Gao, Bo Long
    http://arxiv.org/abs/2008.06759v2

    • [cs.CL]Glancing Transformer for Non-Autoregressive Neural Machine Translation
    Lihua Qian, Hao Zhou, Yu Bao, Mingxuan Wang, Lin Qiu, Weinan Zhang, Yong Yu, Lei Li
    http://arxiv.org/abs/2008.07905v1

    • [cs.CL]HunFlair: An Easy-to-Use Tool for State-of-the-Art Biomedical Named Entity Recognition
    Leon Weber, Mario Sänger, Jannes Münchmeyer, Maryam Habibi, Ulf Leser, Alan Akbik
    http://arxiv.org/abs/2008.07347v2

    • [cs.CL]NASE: Learning Knowledge Graph Embedding for Link Prediction via Neural Architecture Search
    Xiaoyu Kou, Bingfeng Luo, Huang Hu, Yan Zhang
    http://arxiv.org/abs/2008.07723v1

    • [cs.CL]Stock Index Prediction with Multi-task Learning and Word Polarity Over Time
    Yue Zhou, Kerstin Voigt
    http://arxiv.org/abs/2008.07605v1

    • [cs.CL]Very Deep Transformers for Neural Machine Translation
    Xiaodong Liu, Kevin Duh, Liyuan Liu, Jianfeng Gao
    http://arxiv.org/abs/2008.07772v1

    • [cs.CR]Efficient Private Machine Learning by Differentiable Random Transformations
    Fei Zheng
    http://arxiv.org/abs/2008.07758v1

    • [cs.CR]Privacy-preserving feature selection: A survey and proposing a new set of protocols
    Javad Rahimipour Anaraki, Saeed Samet
    http://arxiv.org/abs/2008.07664v1

    • [cs.CV]A Deep Dive into Adversarial Robustness in Zero-Shot Learning
    Mehmet Kerim Yucel, Ramazan Gokberk Cinbis, Pinar Duygulu
    http://arxiv.org/abs/2008.07651v1

    • [cs.CV]A Smartphone-based System for Real-time Early Childhood Caries Diagnosis
    Yipeng Zhang, Haofu Liao, Jin Xiao, Nisreen Al Jallad, Oriana Ly-Mapes, Jiebo Luo
    http://arxiv.org/abs/2008.07623v1

    • [cs.CV]AB3DMOT: A Baseline for 3D Multi-Object Tracking and New Evaluation Metrics
    Xinshuo Weng, Jianren Wang, David Held, Kris Kitani
    http://arxiv.org/abs/2008.08063v1

    • [cs.CV]Anomaly Detection with Convolutional Autoencoders for Fingerprint Presentation Attack Detection
    Jascha Kolberg, Marcel Grimmer, Marta Gomez-Barrero, Christoph Busch
    http://arxiv.org/abs/2008.07989v1

    • [cs.CV]AssembleNet++: Assembling Modality Representations via Attention Connections
    Michael S. Ryoo, AJ Piergiovanni, Juhana Kangaspunta, Anelia Angelova
    http://arxiv.org/abs/2008.08072v1

    • [cs.CV]Communicative Reinforcement Learning Agents for Landmark Detection in Brain Images
    Guy Leroy, Daniel Rueckert, Amir Alansary
    http://arxiv.org/abs/2008.08055v1

    • [cs.CV]Contact Area Detector using Cross View Projection Consistency for COVID-19 Projects
    Pan Zhang, Wilfredo Torres Calderon, Bokyung Lee, Alex Tessier, Jacky Bibliowicz, Liviu Calin, Michael Lee
    http://arxiv.org/abs/2008.07712v1

    • [cs.CV]ConvGRU in Fine-grained Pitching Action Recognition for Action Outcome Prediction
    Tianqi Ma, Lin Zhang, Xiumin Diao, Ou Ma
    http://arxiv.org/abs/2008.07819v1

    • [cs.CV]Dataset Bias in Few-shot Image Recognition
    Shuqiang Jiang, Yaohui Zhu, Chenlong Liu, Xinhang Song, Xiangyang Li, Weiqing Min
    http://arxiv.org/abs/2008.07960v1

    • [cs.CV]Depth Completion with RGB Prior
    Yuri Feldman, Yoel Shapiro, Dotan Di Castro
    http://arxiv.org/abs/2008.07861v1

    • [cs.CV]Describing Unseen Videos via Multi-ModalCooperative Dialog Agents
    Ye Zhu, Yu Wu, Yi Yang, Yan Yan
    http://arxiv.org/abs/2008.07935v1

    • [cs.CV]Domain Generalizer: A Few-shot Meta Learning Framework for Domain Generalization in Medical Imaging
    Pulkit Khandelwal, Paul Yushkevich
    http://arxiv.org/abs/2008.07724v1

    • [cs.CV]EASTER: Efficient and Scalable Text Recognizer
    Kartik Chaudhary, Raghav Bali
    http://arxiv.org/abs/2008.07839v1

    • [cs.CV]Equivalent Classification Mapping for Weakly Supervised Temporal Action Localization
    Le Yang, Dingwen Zhang, Tao Zhao, Junwei Han
    http://arxiv.org/abs/2008.07728v1

    • [cs.CV]Feature Products Yield Efficient Networks
    Philipp Grüning, Thomas Martinetz, Erhardt Barth
    http://arxiv.org/abs/2008.07930v1

    • [cs.CV]Gradients as a Measure of Uncertainty in Neural Networks
    Jinsol Lee, Ghassan AlRegib
    http://arxiv.org/abs/2008.08030v1

    • [cs.CV]Hierarchical HMM for Eye Movement Classification
    Ye Zhu, Yan Yan, Oleg Komogortsev
    http://arxiv.org/abs/2008.07961v1

    • [cs.CV]Image Pre-processing on NumtaDB for Bengali Handwritten Digit Recognition
    Ovi Paul
    http://arxiv.org/abs/2008.07853v1

    • [cs.CV]Knowledge Transfer via Dense Cross-Layer Mutual-Distillation
    Anbang Yao, Dawei Sun
    http://arxiv.org/abs/2008.07816v1

    • [cs.CV]Lazy caterer jigsaw puzzles: Models, properties, and a mechanical system-based solver
    Peleg Harel, Ohad Ben-Shahar
    http://arxiv.org/abs/2008.07644v1

    • [cs.CV]Learning Graph Edit Distance by Graph Neural Networks
    Pau Riba, Andreas Fischer, Josep Lladós, Alicia Fornés
    http://arxiv.org/abs/2008.07641v1

    • [cs.CV]Linguistically-aware Attention for Reducing the Semantic-Gap in Vision-Language Tasks
    Gouthaman KV, Athira Nambiar, Kancheti Sai Srinivas, Anurag Mittal
    http://arxiv.org/abs/2008.08012v1

    • [cs.CV]MaskedFace-Net — A Dataset of Correctly/Incorrectly Masked Face Images in the Context of COVID-19
    Adnane Cabani, Karim Hammoudi, Halim Benhabiles, Mahmoud Melkemi
    http://arxiv.org/abs/2008.08016v1

    • [cs.CV]Mastering Large Scale Multi-label Image Recognition with high efficiency overCamera trap images
    Miroslav Valan, Lukáš Picek
    http://arxiv.org/abs/2008.07828v1

    • [cs.CV]Mesh Guided One-shot Face Reenactment using Graph Convolutional Networks
    Guangming Yao, Yi Yuan, Tianjia Shao, Kun Zhou
    http://arxiv.org/abs/2008.07783v1

    • [cs.CV]Motion Capture from Internet Videos
    Junting Dong, Qing Shuai, Yuanqing Zhang, Xian Liu, Xiaowei Zhou, Hujun Bao
    http://arxiv.org/abs/2008.07931v1

    • [cs.CV]Multilanguage Number Plate Detection using Convolutional Neural Networks
    Jatin Gupta, Vandana Saini, Kamaldeep Garg
    http://arxiv.org/abs/2008.08023v1

    • [cs.CV]Multiple View Generation and Classification of Mid-wave Infrared Images using Deep Learning
    Maliha Arif, Abhijit Mahalanobis
    http://arxiv.org/abs/2008.07714v1

    • [cs.CV]One-pixel Signature: Characterizing CNN Models for Backdoor Detection
    Shanjiaoyang Huang, Weiqi Peng, Zhiwei Jia, Zhuowen Tu
    http://arxiv.org/abs/2008.07711v1

    • [cs.CV]Person image generation with semantic attention network for person re-identification
    Meichen Liu, Kejun Wang, Juihang Ji, Shuzhi Sam Ge
    http://arxiv.org/abs/2008.07884v1

    • [cs.CV]Pix2Surf: Learning Parametric 3D Surface Models of Objects from Images
    Jiahui Lei, Srinath Sridhar, Paul Guerrero, Minhyuk Sung, Niloy Mitra, Leonidas J. Guibas
    http://arxiv.org/abs/2008.07760v1

    • [cs.CV]Reinforcement Learning for Improving Object Detection
    Siddharth Nayak, Balaraman Ravindran
    http://arxiv.org/abs/2008.08005v1

    • [cs.CV]Retargetable AR: Context-aware Augmented Reality in Indoor Scenes based on 3D Scene Graph
    Tomu Tahara, Takashi Seno, Gaku Narita, Tomoya Ishikawa
    http://arxiv.org/abs/2008.07817v1

    • [cs.CV]Self-supervised Sparse to Dense Motion Segmentation
    Amirhossein Kardoost, Kalun Ho, Peter Ochs, Margret Keuper
    http://arxiv.org/abs/2008.07872v1

    • [cs.CV]SoDA: Multi-Object Tracking with Soft Data Association
    Wei-Chih Hung, Henrik Kretzschmar, Tsung-Yi Lin, Yuning Chai, Ruichi Yu, Ming-Hsuan Yang, Drago Anguelov
    http://arxiv.org/abs/2008.07725v1

    • [cs.CV]Tackling the Unannotated: Scene Graph Generation with Bias-Reduced Models
    Tzu-Jui Julius Wang, Selen Pehlivan, Jorma Laaksonen
    http://arxiv.org/abs/2008.07832v1

    • [cs.CV]Visibility-aware Multi-view Stereo Network
    Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang
    http://arxiv.org/abs/2008.07928v1

    • [cs.CY]How to organize a hackathon — A planning kit
    Alexander Nolte, Ei Pa Pa Pe-Than, Chalalai Chaihirunkarn, Anna Filippova, Arun Kalyanasundaram, Maria Angelica Medina Angarita, Erik Trainer, James D. Herbsleb
    http://arxiv.org/abs/2008.08025v1

    • [cs.CY]Implementation of Course Recommender System for Virtual University of Pakistan
    Aleem Akhtar
    http://arxiv.org/abs/2008.07867v1

    • [cs.CY]Modeling, Visualization, and Analysis of African Innovation Performance
    Muhammad Omer, Moayad El-Amin, Ammar Nasr, Rami Ahmed
    http://arxiv.org/abs/2008.07882v1

    • [cs.CY]Turing Test and the Practice of Law: The Role of Autonomous Levels of AI Legal Reasoning
    Dr. Lance Eliot
    http://arxiv.org/abs/2008.07743v1

    • [cs.CY]Usable Security for ML Systems in Mental Health: A Framework
    Helen Jiang, Erwen Senge
    http://arxiv.org/abs/2008.07738v1

    • [cs.DB]The Relational Data Borg is Learning
    Dan Olteanu
    http://arxiv.org/abs/2008.07864v1

    • [cs.DC]Benchmarking network fabrics for data distributed training of deep neural networks
    Siddharth Samsi, Andrew Prout, Michael Jones, Andrew Kirby, Bill Arcand, Bill Bergeron, David Bestor, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Charles Yee, Albert Reuther, Jeremy Kepner
    http://arxiv.org/abs/2008.08057v1

    • [cs.DC]Compute, Time and Energy Characterization of Encoder-Decoder Networks with Automatic Mixed Precision Training
    Siddharth Samsi, Michael Jones, Mark M. Veillette
    http://arxiv.org/abs/2008.08062v1

    • [cs.DC]From Zero to Fog: Efficient Engineering of Fog-Based IoT Applications
    Tobias Pfandzelter, Jonathan Hasenburg, David Bermbach
    http://arxiv.org/abs/2008.07891v1

    • [cs.DC]Utility-based Resource Allocation and Pricing for Serverless Computing
    Vipul Gupta, Soham Phade, Thomas Courtade, Kannan Ramchandran
    http://arxiv.org/abs/2008.07793v1

    • [cs.DS]New Quality Metrics for Dynamic Graph Drawing
    Amyra Meidiana, Seok-Hee Hong, Peter Eades
    http://arxiv.org/abs/2008.07764v1

    • [cs.DS]Robust Mean Estimation on Highly Incomplete Data with Arbitrary Outliers
    Lunjia Hu, Omer Reingold
    http://arxiv.org/abs/2008.08071v1

    • [cs.DS]SF-GRASS: Solver-Free Graph Spectral Sparsification
    Ying Zhang, Zhiqiang Zhao, Zhuo Feng
    http://arxiv.org/abs/2008.07633v1

    • [cs.HC]Sequence-to-Sequence Predictive Model: From Prosody To Communicative Gestures
    Fajrian Yunus, Chloé Clavel, Catherine Pelachaud
    http://arxiv.org/abs/2008.07643v1

    • [cs.IR]An Annotated Corpus of Webtables for Information Extraction Tasks
    Erin Macdonald, Denilson Barbosa
    http://arxiv.org/abs/2008.07680v1

    • [cs.IR]Learning the Structure of Auto-Encoding Recommenders
    Farhan Khawar, Leonard Kin Man Poon, Nevin Lianwen Zhang
    http://arxiv.org/abs/2008.07956v1

    • [cs.IR]MTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction
    Yufei Feng, Fuyu Lv, Binbin Hu, Fei Sun, Kun Kuang, Yang Liu, Qingwen Liu, Wenwu Ou
    http://arxiv.org/abs/2008.05673v2

    • [cs.IR]Relational Reflection Entity Alignment
    Xin Mao, Wenting Wang, Huimin Xu, Yuanbin Wu, Man Lan
    http://arxiv.org/abs/2008.07962v1

    • [cs.IR]S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization
    Kun Zhou, Hui Wang, Wayne Xin Zhao, Yutao Zhu, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, Ji-Rong Wen
    http://arxiv.org/abs/2008.07873v1

    • [cs.IT]A Two Stage Generalized Block Orthogonal Matching Pursuit (TSGBOMP) Algorithm
    Samrat Mukhopadhyay, Mrityunjoy Chakraborty
    http://arxiv.org/abs/2008.08031v1

    • [cs.IT]Age of Information in Random Access Networks: A Spatiotemporal Study
    Howard H. Yang, Ahmed Arafa, Tony Q. S. Quek, H. Vincent Poor
    http://arxiv.org/abs/2008.07717v1

    • [cs.IT]Deepcode and Modulo-SK are Designed for Different Settings
    Hyeji Kim, Yihan Jiang, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
    http://arxiv.org/abs/2008.07997v1

    • [cs.IT]Design of a Stochastic Traffic Regulator for End-to-End Network Delay Guarantees
    Massieh Kordi Boroujeny, Brian L. Mark
    http://arxiv.org/abs/2008.07721v1

    • [cs.IT]End-to-End Rate Enhancement in C-RAN Using Multi-Pair Two-Way Computation
    Mahmoud Hasabelnaby, Anas Chaaban
    http://arxiv.org/abs/2008.07918v1

    • [cs.IT]Information-Theoretic Privacy in Federated Submodel learning
    Minchul Kim, Jungwoo Lee
    http://arxiv.org/abs/2008.07656v1

    • [cs.IT]On the Error Exponent of Approximate Sufficient Statistics for M-ary Hypothesis Testing
    Jiachun Pan, Yonglong Li, Vincent Y. F. Tan, Yonina C. Eldar
    http://arxiv.org/abs/2008.07693v1

    • [cs.IT]Reinforcement Learning Evaluation and Solution for the Feedback Capacity of the Ising Channel with Large Alphabet
    Ziv Aharoni, Oron Sabag, Haim Henri Permuter
    http://arxiv.org/abs/2008.07983v1

    • [cs.LG]A Formally Robust Time Series Distance Metric
    Maximilian Toller, Bernhard C. Geiger, Roman Kern
    http://arxiv.org/abs/2008.07865v1

    • [cs.LG]A Hierarchical User Intention-Habit Extract Network for Credit Loan Overdue Risk Detection
    Hao Guo, Xintao Ren, Rongrong Wang, Zhun Cai, Kai Shuang, Yue Sun
    http://arxiv.org/abs/2008.07796v1

    • [cs.LG]Adaptive Distillation for Decentralized Learning from Heterogeneous Clients
    Jiaxin Ma, Ryo Yonetani, Zahid Iqbal
    http://arxiv.org/abs/2008.07948v1

    • [cs.LG]Differentially Private Clustering: Tight Approximation Ratios
    Badih Ghazi, Ravi Kumar, Pasin Manurangsi
    http://arxiv.org/abs/2008.08007v1

    • [cs.LG]Ensemble Node Embeddings using Tensor Decomposition: A Case-Study on DeepWalk
    Jia Chen, Evangelos E. Papalexakis
    http://arxiv.org/abs/2008.07672v1

    • [cs.LG]HiPPO: Recurrent Memory with Optimal Polynomial Projections
    Albert Gu, Tri Dao, Stefano Ermon, Atri Rudra, Christopher Re
    http://arxiv.org/abs/2008.07669v1

    • [cs.LG]Improving adversarial robustness of deep neural networks by using semantic information
    Lina Wang, Rui Tang, Yawei Yue, Xingshu Chen, Wei Wang, Yi Zhu, Xuemei Zeng
    http://arxiv.org/abs/2008.07838v1

    • [cs.LG]Inverse Distance Aggregation for Federated Learning with Non-IID Data
    Yousef Yeganeh, Azade Farshad, Nassir Navab, Shadi Albarqouni
    http://arxiv.org/abs/2008.07665v1

    • [cs.LG]Joint Variational Autoencoders for Recommendation with Implicit Feedback
    Bahare Askari, Jaroslaw Szlichta, Amirali Salehi-Abari
    http://arxiv.org/abs/2008.07577v1

    • [cs.LG]Learning Two-Layer Residual Networks with Nonparametric Function Estimation by Convex Programming
    Zhunxuan Wang, Linyun He, Chunchuan Lyu, Shay B. Cohen
    http://arxiv.org/abs/2008.07648v1

    • [cs.LG]Learning from Irregularly-Sampled Time Series: A Missing Data Perspective
    Steven Cheng-Xian Li, Benjamin M. Marlin
    http://arxiv.org/abs/2008.07599v1

    • [cs.LG]Linear Disentangled Representations and Unsupervised Action Estimation
    Matthew Painter, Jonathon Hare, Adam Prugel-Bennett
    http://arxiv.org/abs/2008.07922v1

    • [cs.LG]Moment Multicalibration for Uncertainty Estimation
    Christopher Jung, Changhwa Lee, Mallesh M. Pai, Aaron Roth, Rakesh Vohra
    http://arxiv.org/abs/2008.08037v1

    • [cs.LG]Multi-Modal Trajectory Prediction of NBA Players
    Sandro Hauri, Nemanja Djuric, Vladan Radosavljevic, Slobodan Vucetic
    http://arxiv.org/abs/2008.07870v1

    • [cs.LG]Optimal Best-Arm Identification Methods for Tail-Risk Measures
    Shubhada Agrawal, Wouter M. Koolen, Sandeep Juneja
    http://arxiv.org/abs/2008.07606v1

    • [cs.LG]Ordinal Pattern Kernel for Brain Connectivity Network Classification
    Kai Ma, Biao Jie, Wei Shao, Daoqiang Zhang
    http://arxiv.org/abs/2008.07719v1

    • [cs.LG]Parallel Extraction of Long-term Trends and Short-term Fluctuation Framework for Multivariate Time Series Forecasting
    Haoyan Xu, Ziheng Duan, Yida Huang, Jie Feng, Anni Ren, Pengyu Song, Xiaoqian Wang
    http://arxiv.org/abs/2008.07730v1

    • [cs.LG]Personalized Deep Learning for Ventricular Arrhythmias Detection on Medical IoT Systems
    Zhenge Jia, Zhepeng Wang, Feng Hong, Lichuan Ping, Yiyu Shi, Jingtong Hu
    http://arxiv.org/abs/2008.08060v1

    • [cs.LG]Positive semidefinite support vector regression metric learning
    Lifeng Gu
    http://arxiv.org/abs/2008.07739v1

    • [cs.LG]Predicting Future Sales of Retail Products using Machine Learning
    Devendra Swami, Alay Dilipbhai Shah, Subhrajeet K B Ray
    http://arxiv.org/abs/2008.07779v1

    • [cs.LG]Provably Efficient Reward-Agnostic Navigation with Linear Value Iteration
    Andrea Zanette, Alessandro Lazaric, Mykel J. Kochenderfer, Emma Brunskill
    http://arxiv.org/abs/2008.07737v1

    • [cs.LG]RTFN: Robust Temporal Feature Network
    Zhiwen Xiao, Xin Xu, Huanlai Xing, Juan Chen
    http://arxiv.org/abs/2008.07707v1

    • [cs.LG]Ranking Clarification Questions via Natural Language Inference
    Vaibhav Kumar, Vikas Raunak, Jamie Callan
    http://arxiv.org/abs/2008.07688v1

    • [cs.LG]Revisiting the Application of Feature Selection Methods to Speech Imagery BCI Datasets
    Javad Rahimipour Anaraki, Jae Moon, Tom Chau
    http://arxiv.org/abs/2008.07660v1

    • [cs.LG]Robust Low-rank Matrix Completion via an Alternating Manifold Proximal Gradient Continuation Method
    Minhui Huang, Shiqian Ma, Lifeng Lai
    http://arxiv.org/abs/2008.07740v1

    • [cs.LG]Selecting Data Adaptive Learner from Multiple Deep Learners using Bayesian Networks
    Shusuke Kobayashi, Susumu Shirayama
    http://arxiv.org/abs/2008.07709v1

    • [cs.LG]Shared MF: A privacy-preserving recommendation system
    Senci Ying
    http://arxiv.org/abs/2008.07759v1

    • [cs.LG]Stochastic Adaptive Line Search for Differentially Private Optimization
    Chen Chen, Jaewoo Lee
    http://arxiv.org/abs/2008.07978v1

    • [cs.LG]Towards Closing the Sim-to-Real Gap in Collaborative Multi-Robot Deep Reinforcement Learning
    Wenshuai Zhao, Jorge Peña Queralta, Li Qingqing, Tomi Westerlund
    http://arxiv.org/abs/2008.07875v1

    • [cs.LG]Training Deep Neural Networks Without Batch Normalization
    Divya Gaur, Joachim Folz, Andreas Dengel
    http://arxiv.org/abs/2008.07970v1

    • [cs.LG]Transferring Complementary Operating Conditions for Anomaly Detection
    Gabriel Michau, Olga Fink
    http://arxiv.org/abs/2008.07815v1

    • [cs.LG]When Hardness of Approximation Meets Hardness of Learning
    Eran Malach, Shai Shalev-Shwartz
    http://arxiv.org/abs/2008.08059v1

    • [cs.LG]Whitening and second order optimization both destroy information about the dataset, and can make generalization impossible
    Neha S. Wadia, Daniel Duckworth, Samuel S. Schoenholz, Ethan Dyer, Jascha Sohl-Dickstein
    http://arxiv.org/abs/2008.07545v1

    • [cs.LG]Word2vec Skip-gram Dimensionality Selection via Sequential Normalized Maximum Likelihood
    Pham Thuc Hung, Kenji Yamanishi
    http://arxiv.org/abs/2008.07720v1

    • [cs.NI]AoI-based Multicast Routing over Voronoi Overlays with Minimal Overhead
    Michele Albano, Matteo Mordacchini, Laura Ricci
    http://arxiv.org/abs/2008.07821v1

    • [cs.NI]Deconstructing the Decentralization Trilemma
    Harry Halpin
    http://arxiv.org/abs/2008.08014v1

    • [cs.RO]PufferBot: Actuated Expandable Structures for Aerial Robots
    Hooman Hedayati, Ryo Suzuki1, Daniel Leithinger, Daniel Szafir
    http://arxiv.org/abs/2008.07615v1

    • [cs.RO]REFORM: Recognizing F-formations for Social Robots
    Hooman Hedayati, Annika Muehlbradt, Daniel J. Szafir, Sean Andrist
    http://arxiv.org/abs/2008.07668v1

    • [cs.RO]Residual Learning from Demonstration
    Todor Davchev, Kevin Sebastian Luck, Michael Burke, Franziska Meier, Stefan Schaal, Subramanian Ramamoorthy
    http://arxiv.org/abs/2008.07682v1

    • [cs.RO]Soft Multicopter Control using Neural Dynamics Identification
    Yitong Deng, Yaorui Zhang, Xingzhe He, Shuqi Yang, Yunjin Tong, Michael Zhang, Daniel DiPietro, Bo Zhu
    http://arxiv.org/abs/2008.07689v1

    • [cs.RO]The MRS UAV System: Pushing the Frontiers of Reproducible Research, Real-world Deployment, and Education with Autonomous Unmanned Aerial Vehicles
    Tomas Baca, Matej Petrlik, Matous Vrba, Vojtech Spurny, Robert Penicka, Daniel Hert, Martin Saska
    http://arxiv.org/abs/2008.08050v1

    • [cs.RO]Ubiquitous Distributed Deep Reinforcement Learning at the Edge: Analyzing Byzantine Agents in Discrete Action Spaces
    Wenshuai Zhao, Jorge Peña Queralta, Li Qingqing, Tomi Westerlund
    http://arxiv.org/abs/2008.07863v1

    • [cs.SD]PopMAG: Pop Music Accompaniment Generation
    Yi Ren, Jinzheng He, Xu Tan, Tao Qin, Zhou Zhao, Tie-Yan Liu
    http://arxiv.org/abs/2008.07703v1

    • [cs.SI]DRGraph: An Efficient Graph Layout Algorithm for Large-scale Graphs by Dimensionality Reduction
    Minfeng Zhu, Wei Chen, Yuanzhe Hu, Yuxuan Hou, Liangjun Liu, Kaiyuan Zhang
    http://arxiv.org/abs/2008.07799v1

    • [cs.SI]FANG: Leveraging Social Context for Fake News Detection Using Graph Representation
    Van-Hoang Nguyen, Kazunari Sugiyama, Preslav Nakov, Min-Yen Kan
    http://arxiv.org/abs/2008.07939v1

    • [cs.SI]Mining Large Quasi-cliques with Quality Guarantees from Vertex Neighborhoods
    Aritra Konar, Nicholas D. Sidiropoulos
    http://arxiv.org/abs/2008.07996v1

    • [eess.AS]A Real-time Robot-based Auxiliary System for Risk Evaluation of COVID-19 Infection
    Wenqi Wei, Jianzong Wang, Jiteng Ma, Ning Cheng, Jing Xiao
    http://arxiv.org/abs/2008.07695v1

    • [eess.AS]Adversarial Attack and Defense Strategies for Deep Speaker Recognition Systems
    Arindam Jati, Chin-Cheng Hsu, Monisankha Pal, Raghuveer Peri, Wael AbdAlmageed, Shrikanth Narayanan
    http://arxiv.org/abs/2008.07685v1

    • [eess.AS]CinC-GAN for Effective F0 prediction for Whisper-to-Normal Speech Conversion
    Maitreya Patel, Mirali Purohit, Jui Shah, Hemant A. Patil
    http://arxiv.org/abs/2008.07788v1

    • [eess.AS]Deep Learning Based Source Separation Applied To Choir Ensembles
    Darius Petermann, Pritish Chandna, Helena Cuesta, Jordi Bonada, Emilia Gomez
    http://arxiv.org/abs/2008.07645v1

    • [eess.IV]A Deep Network for Joint Registration and Reconstruction of Images with Pathologies
    Xu Han, Zhengyang Shen, Zhenlin Xu, Spyridon Bakas, Hamed Akbari, Michel Bilello, Christos Davatzikos, Marc Niethammer
    http://arxiv.org/abs/2008.07628v1

    • [eess.IV]Anatomy-Aware Cardiac Motion Estimation
    Pingjun Chen, Xiao Chen, Eric Z. Chen, Hanchao Yu, Terrence Chen, Shanhui Sun
    http://arxiv.org/abs/2008.07579v1

    • [eess.IV]Comparison of Convolutional neural network training parameters for detecting Alzheimers disease and effect on visualization
    Arjun Haridas Pallath, Martin Dyrba
    http://arxiv.org/abs/2008.07981v1

    • [eess.IV]Fully automated deep learning based segmentation of normal, infarcted and edema regions from multiple cardiac MRI sequences
    Xiaoran Zhang, Michelle Noga, Kumaradevan Punithakumar
    http://arxiv.org/abs/2008.07770v1

    • [eess.IV]Grading Loss: A Fracture Grade-based Metric Loss for Vertebral Fracture Detection
    Malek Husseini, Anjany Sekuboyina, Maximilian Loeffler, Fernando Navarro, Bjoern H. Menze, Jan S. Kirschke
    http://arxiv.org/abs/2008.07831v1

    • [eess.IV]Offloading Optimization in Edge Computing for Deep Learning Enabled Target Tracking by Internet-of-UAVs
    Bo Yang, Xuelin Cao, Chau Yuen, Lijun Qian
    http://arxiv.org/abs/2008.08001v1

    • [eess.IV]Self-supervised Denoising via Diffeomorphic Template Estimation: Application to Optical Coherence Tomography
    Guillaume Gisbert, Neel Dey, Hiroshi Ishikawa, Joel Schuman, James Fishbaugh, Guido Gerig
    http://arxiv.org/abs/2008.08024v1

    • [eess.IV]UDC 2020 Challenge on Image Restoration of Under-Display Camera: Methods and Results
    Yuqian Zhou, Michael Kwan, Kyle Tolentino, Neil Emerton, Sehoon Lim, Tim Large, Lijiang Fu, Zhihong Pan, Baopu Li, Qirui Yang, Yihao Liu, Jigang Tang, Tao Ku, Shibin Ma, Bingnan Hu, Jiarong Wang, Densen Puthussery, Hrishikesh P S, Melvin Kuriakose, Jiji C V, Varun Sundar, Sumanth Hegde, Divya Kothandaraman, Kaushik Mitra, Akashdeep Jassal, Nisarg A. Shah, Sabari Nathan, Nagat Abdalla Esiad Rahel, Dafan Chen, Shichao Nie, Shuting Yin, Chengconghui Ma, Haoran Wang, Tongtong Zhao, Shanshan Zhao, Joshua Rego, Huaijin Chen, Shuai Li, Zhenhua Hu, Kin Wai Lau, Lai-Man Po, Dahai Yu, Yasar Abbas Ur Rehman, Yiqun Li, Lianping Xing
    http://arxiv.org/abs/2008.07742v1

    • [eess.SP]DeepSlicing: Deep Reinforcement Learning Assisted Resource Allocation for Network Slicing
    Qiang Liu, Tao Han, Ning Zhang, Ye Wang
    http://arxiv.org/abs/2008.07614v1

    • [eess.SP]Massively Distributed Antenna Systems with Non-Ideal Optical Fiber Front-hauls: A Promising Technology for 6G Wireless Communication Systems
    Lisu Yu, Jingxian Wu, Andong Zhou, Erik G. Larsson, Pingzhi Fan
    http://arxiv.org/abs/2008.07745v1

    • [eess.SP]SWAN: Swarm-Based Low-Complexity Scheme for PAPR Reduction
    Luis F. Abanto-Leon, Gek Hong Sim, Matthias Hollick, Amnart Boonkajay, Fumiyuki Adachi
    http://arxiv.org/abs/2008.07600v1

    • [eess.SY]Bridging the Gap between Optimal Trajectory Planning and Safety-Critical Control with Applications to Autonomous Vehicles
    Wei Xiao, Christos G. Cassandras, Calin A. Belta
    http://arxiv.org/abs/2008.07632v1

    • [math.NA]Fast algorithms for robust principal component analysis with an upper bound on the rank
    Ningyu Sha, Lei Shi, Ming Yan
    http://arxiv.org/abs/2008.07972v1

    • [math.OC]A Relation Analysis of Markov Decision Process Frameworks
    Tien Mai, Patrick Jaillet
    http://arxiv.org/abs/2008.07820v1

    • [math.OC]On the Convergence of Consensus Algorithms with Markovian Noise and Gradient Bias
    Hoi-To Wai
    http://arxiv.org/abs/2008.07841v1

    • [math.ST]A Note on the Sum of Non-Identically Distributed Doubly Truncated Normal Distributions
    Hao Chen, Lanshan Han, Alvin Lim
    http://arxiv.org/abs/2008.07954v1

    • [math.ST]On Weighted Extropies
    Narayanaswamy Balakrishnan, Francesco Buono, Maria Longobardi
    http://arxiv.org/abs/2008.07826v1

    • [nlin.AO]Information theory and player deck choice in online Collectable Card Games
    Mathew Zuparic, Duy Khuu, Tzachi Zach
    http://arxiv.org/abs/2008.07663v1

    • [physics.chem-ph]Closed-Loop Design of Proton Donors for Lithium-Mediated Ammonia Production with Interpretable Models and Molecular Machine Learning
    Dilip Krishnamurthy, Nikifar Lazouski, Michal L. Gala, Karthish Manthiram, Venkatasubramanian Viswanathan
    http://arxiv.org/abs/2008.08078v1

    • [physics.comp-ph]Efficient planning of peen-forming patterns via artificial neural networks
    Wassime Siguerdidjane, Farbod Khameneifar, Frédérick P. Gosselin
    http://arxiv.org/abs/2008.08049v1

    • [physics.soc-ph]A generalized linear threshold model for an improved description of the spreading dynamics
    Yijun Ran, Xiaomin Deng, Xiaomeng Wang, Tao Jia
    http://arxiv.org/abs/2008.06834v1

    • [physics.soc-ph]Hidden order in online extremism and its disruption by nudging collective chemistry
    N. F. Johnson, N. Velasquez, P. Manrique, R. Sear, R. Leahy, N. Johnson Restrepo, L. Illari, Y. Lupu
    http://arxiv.org/abs/2008.07701v1

    • [q-bio.NC]On the Evolution of Subjective Experience
    Jerome A. Feldman
    http://arxiv.org/abs/2008.08073v1

    • [quant-ph]Just another quantum assembly language (Jaqal)
    Benjamin C. A. Morrison, Andrew J. Landahl, Daniel S. Lobser, Kenneth M. Rudinger, Antonio E. Russo, Jay W. Van Der Wall, Peter Maunz
    http://arxiv.org/abs/2008.08042v1

    • [stat.AP]Clustering of variables for enhanced interpretability of predictive models
    Evelyne Vigneau
    http://arxiv.org/abs/2008.07924v1

    • [stat.AP]Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark
    Jesus Lago, Grzegorz Marcjasz, Bart De Schutter, Rafał Weron
    http://arxiv.org/abs/2008.08004v1

    • [stat.AP]Glucodensities: a new representation of glucose profiles using distributional data analysis
    Marcos Matabuena, Alexander Petersen, Juan C. Vidal, Francisco Gude
    http://arxiv.org/abs/2008.07840v1

    • [stat.AP]Neural networks in day-ahead electricity price forecasting: Single vs. multiple outputs
    Grzegorz Marcjasz, Jesus Lago, Rafał Weron
    http://arxiv.org/abs/2008.08006v1

    • [stat.AP]Seamless multi-model postprocessing for air temperature forecasts in complex topography
    Regula Keller, Jan Rajczak, Jonas Bhend, Christoph Spirig, Stephan Hemri, Mark A. Liniger
    http://arxiv.org/abs/2008.07857v1

    • [stat.AP]Survival analysis for AdVerse events with VarYing follow-up times (SAVVY) — comparison of adverse event risks in randomized controlled trials
    Kaspar Rufibach, Regina Stegherr, Claudia Schmoor, Valentine Jehl, Arthur Allignol, Annette Boeckenhoff, Cornelia Dunger-Baldauf, Lewin Eisele, Thomas Künzel, Katrin Kupas, Friedhelm Leverkus, Matthias Trampisch, Yumin Zhao, Tim Friede, Jan Beyersmann
    http://arxiv.org/abs/2008.07881v1

    • [stat.AP]Survival analysis for AdVerse events with VarYing follow-up times (SAVVY) — estimation of adverse event risks
    Regina Stegherr, Claudia Schmoor, Jan Beyersmann, Kaspar Rufibach, Valentine Jehl, Andreas Brückner, Lewin Eisele, Thomas Künzel, Katrin Kupas, Frank Langer, Friedhelm Leverkus, Anja Loos, Christiane Norenberg, Florian Voss, Tim Friede
    http://arxiv.org/abs/2008.07883v1

    • [stat.ME]Analysis of Left Truncated and Right Censored Competing Risks Data
    Debasis Kundu, Debanjan Mitra, Ayon Ganguly
    http://arxiv.org/abs/2008.07966v1

    • [stat.ME]Estimation of causal effects of multiple treatments in healthcare database studies with rare outcomes
    Liangyuan Hu, Chenyang Gu
    http://arxiv.org/abs/2008.07687v1

    • [stat.ME]Learning Structure in Nested Logit Models
    Youssef M. Aboutaleb, Moshe Ben-Akiva, Patrick Jaillet
    http://arxiv.org/abs/2008.08048v1

    • [stat.ME]Regression with a right-censored predictor, using inverse probability weighting methods
    Roland A. Matsouaka, Folefac D. Atem
    http://arxiv.org/abs/2008.07713v1

    • [stat.ME]Selecting the Derivative of a Functional Covariate in Scalar-on-Function Regression
    Giles Hooker, Hanlin Shang
    http://arxiv.org/abs/2008.07859v1

    • [stat.ML]Bayesian geoacoustic inversion using mixture density network
    Guoli Wu, Hefeng Dong, Junqiang Song, Jingya Zhang
    http://arxiv.org/abs/2008.07902v1

    • [stat.ML]Bayesian neural networks and dimensionality reduction
    Deborshee Sen, Theodore Papamarkou, David Dunson
    http://arxiv.org/abs/2008.08044v1

    • [stat.ML]Fast Approximate Bayesian Contextual Cold Start Learning (FAB-COST)
    Jack R. McKenzie, Peter A. Appleby, Thomas House, Neil Walton
    http://arxiv.org/abs/2008.08038v1

    • [stat.ML]Nonparametric Conditional Density Estimation In A Deep Learning Framework For Short-Term Forecasting
    David B. Huberman, Brian J. Reich, Howard D. Bondell
    http://arxiv.org/abs/2008.07653v1