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
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• [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