cond-mat.dis-nn - 无序系统与神经网络
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.DC - 分布式、并行与集群计算 cs.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.NI - 网络和互联网体系结构 cs.OS - 操作系统 cs.RO - 机器人学 cs.SE - 软件工程 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 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.soc-ph - 物理学与社会 quant-ph - 量子物理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cond-mat.dis-nn]Activation function dependence of the storage capacity of treelike neural networks
• [cs.AI]Predicting job-hopping likelihood using answers to open-ended interview questions
• [cs.AI]Sistema experto para el diagnóstico de enfermedades y plagas en los cultivos del arroz, tabaco, tomate, pimiento, maíz, pepino y frijol
• [cs.CL]Exploratory Search with Sentence Embeddings
• [cs.CL]IITK at the FinSim Task: Hypernym Detection in Financial Domain via Context-Free and Contextualized Word Embeddings
• [cs.CL]SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection
• [cs.CL]When Classical Chinese Meets Machine Learning: Explaining the Relative Performances of Word and Sentence Segmentation Tasks
• [cs.CL]Will Your Forthcoming Book be Successful? Predicting Book Success with CNN and Readability Scores
• [cs.CR]Byzantine-Resilient Secure Federated Learning
• [cs.CR]Yggdrasil: Privacy-aware Dual Deduplication in Multi Client Settings
• [cs.CV]A Framework based on Deep Neural Networks to Extract Anatomy of Mosquitoes from Images
• [cs.CV]A Hybrid Neuromorphic Object Tracking and Classification Framework for Real-time Systems
• [cs.CV]Accelerating Deep Learning Applications in Space
• [cs.CV]An Image Analogies Approach for Multi-Scale Contour Detection
• [cs.CV]Attend and Segment: Attention Guided Active Semantic Segmentation
• [cs.CV]BorderDet: Border Feature for Dense Object Detection
• [cs.CV]Camera On-boarding for Person Re-identification using Hypothesis Transfer Learning
• [cs.CV]Combining Implicit Function Learning and Parametric Models for 3D Human Reconstruction
• [cs.CV]Creating a Large-scale Synthetic Dataset for Human Activity Recognition
• [cs.CV]CrossTransformers: spatially-aware few-shot transfer
• [cs.CV]Deep Models and Shortwave Infrared Information to Detect Face Presentation Attacks
• [cs.CV]Deep Variational Instance Segmentation
• [cs.CV]Deep-VFX: Deep Action Recognition Driven VFX for Short Video
• [cs.CV]DeepCLR: Correspondence-Less Architecture for Deep End-to-End Point Cloud Registration
• [cs.CV]DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation
• [cs.CV]Depthwise Spatio-Temporal STFT Convolutional Neural Networks for Human Action Recognition
• [cs.CV]Directional Temporal Modeling for Action Recognition
• [cs.CV]Edge-aware Graph Representation Learning and Reasoning for Face Parsing
• [cs.CV]Endo-Sim2Real: Consistency learning-based domain adaptation for instrument segmentation
• [cs.CV]Exploiting Temporal Coherence for Self-Supervised One-shot Video Re-identification
• [cs.CV]FLOT: Scene Flow on Point Clouds Guided by Optimal Transport
• [cs.CV]FedOCR: Communication-Efficient Federated Learning for Scene Text Recognition
• [cs.CV]Fragments-Exp
61f
ert: A Graphical User Interface MATLAB Toolbox for Classification of File Fragments
• [cs.CV]Greenhouse Segmentation on High-Resolution Optical Satellite Imagery using Deep Learning Techniques
• [cs.CV]Human-Centered Unsupervised Segmentation Fusion
• [cs.CV]Improving Monocular Depth Estimation by Leveraging Structural Awareness and Complementary Datasets
• [cs.CV]Instance-aware Self-supervised Learning for Nuclei Segmentation
• [cs.CV]Learnable Cost Volume Using the Cayley Representation
• [cs.CV]Learnable Descent Algorithm for Nonsmooth Nonconvex Image Reconstruction
• [cs.CV]Learning Directional Feature Maps for Cardiac MRI Segmentation
• [cs.CV]Learning Disentangled Feature Representation for Hybrid-distorted Image Restoration
• [cs.CV]Learning Object Relation Graph and Tentative Policy for Visual Navigation
• [cs.CV]Learning One Class Representations for Face Presentation Attack Detection using Multi-channel Convolutional Neural Networks
• [cs.CV]Leveraging Undiagnosed Data for Glaucoma Classification with Teacher-Student Learning
• [cs.CV]Movement Assessment from Skeleton Videos: A Review
• [cs.CV]Multi-Spectral Facial Biometrics in Access Control
• [cs.CV]Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning
• [cs.CV]Neural Sparse Voxel Fields
• [cs.CV]PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding
• [cs.CV]Real-Time Instrument Segmentation in Robotic Surgery using Auxiliary Supervised Deep Adversarial Learning
• [cs.CV]Regularizing Deep Networks with Semantic Data Augmentation
• [cs.CV]Rethinking CNN Models for Audio Classification
• [cs.CV]Risk Assessment in the Face-based Watchlist Screening in e-Border
• [cs.CV]Self-supervised Feature Learning via Exploiting Multi-modal Data for Retinal Disease Diagnosis
• [cs.CV]Unsupervised Shape and Pose Disentanglement for 3D Meshes
• [cs.CV]Video-ception Network: Towards Multi-Scale Efficient Asymmetric Spatial-Temporal Interactions
• [cs.CV]Watchlist Risk Assessment using Multiparametric Cost and Relative Entropy
• [cs.CV]Who Left the Dogs Out? 3D Animal Reconstruction with Expectation Maximization in the Loop
• [cs.CY]Big Issues for Big Data
• [cs.CY]Designing a Novel Method for Personalizing Recommendations to Decrease Plastic Pollution
• [cs.CY]How different age groups responded to the COVID-19 pandemic in terms of mobility behaviors: a case study of the United States
• [cs.CY]How to Increase Interest in Studying Functional Programming via Interdisciplinary Application
• [cs.CY]Internet of Things for Current COVID-19 and Future Pandemics: An Exploratory Study
• [cs.CY]Online Monitoring of Global Attitudes Towards Wildlife
• [cs.CY]Regulating human control over autonomous systems
• [cs.DC]Collectives in hybrid MPI+MPI code: design, practice and performance
• [cs.DC]ZigZag: A Memory-Centric Rapid DNN Accelerator Design Space Exploration Framework
• [cs.GT]Exploiting No-Regret Algorithms in System Design
• [cs.GT]When to (or not to) trust intelligent machines: Insights from an evolutionary game theory analysis of trust in repeated games
• [cs.HC]Interpolating GANs to Scaffold Autotelic Creativity
• [cs.HC]Towards Social & Engaging Peer Learning: Predicting Backchanneling and Disengagement in Children
• [cs.IR]Detecting Quality Problems in Research Data: A Model-Driven Approach
• [cs.IR]Understanding BERT Rankers Under Distillation
• [cs.IT]A New Combinatorial Coded Design for Heterogeneous Distributed Computing
• [cs.IT]Implementation of a High-Throughput Fast-SSC Polar Decoder with Sequence Repetition Node
• [cs.IT]Learning Centric Power Allocation for Edge Intelligence
• [cs.IT]Multi-reference alignment in high dimensions: sample complexity and phase transition
• [cs.IT]Preconditioned Gradient Descent Algorithm for Inverse Filtering on Spatially Distributed Networks
• [cs.IT]Semantics-Empowered Communication for Networked Intelligent Systems
• [cs.LG]A Gradient-based Bilevel Optimization Approach for Tuning Hyperparameters in Machine Learning
• [cs.LG]A Note on the Linear Convergence of Policy Gradient Methods
• [cs.LG]Adversarial Training Reduces Information and Improves Transferability
• [cs.LG]Complex Sequential Data Analysis: A Systematic Literature Review of Existing Algorithms
• [cs.LG]Compressing invariant manifolds in neural nets
• [cs.LG]DEAL: Deep Evidential Active Learning for Image Classification
• [cs.LG]Debiasing Concept Bottleneck Models with Instrumental Variables
• [cs.LG]EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL
• [cs.LG]Graph Neural Networks with Haar Transform-Based Convolution and Pooling: A Complete Guide
• [cs.LG]IBM Federated Learning: an Enterprise Framework White Paper V0.1
• [cs.LG]Improving Deep Learning with Differential Privacy using Gradient Encoding and Denoising
• [cs.LG]InstanceFlow: Visualizing the Evolution of Classifier Confusion on the Instance Level
• [cs.LG]Interpretable Anomaly Detection with DIFFI: Depth-based Feature Importance for the Isolation Forest
• [cs.LG]On the Rademacher Complexity of Linear Hypothesis Sets
• [cs.LG]PackIt: A Virtual Environment for Geometric Planning
• [cs.LG]SOCRATES: Towards a Unified Platform for Neural Network Verification
• [cs.LG]Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks
• [cs.LG]Simplex-Structured Matrix Factorization: Sparsity-based Identifiability and Provably Correct Algorithms
• [cs.LG]Spectral Clustering using Eigenspectrum Shape Based Nystrom Sampling
• [cs.LG]Storage Fit Learning with Feature Evolvable Streams
• [cs.LG]Supervised learning on heterogeneous, attributed entities interacting over time
• [cs.LG]Time-Reversal Symmetric ODE Network
• [cs.LG]Time-aware Graph Embedding: A temporal smoothness and task-oriented approach
• [cs.LG]Unsupervised Learning of Solutions to Differential Equations with Generative Adversarial Networks
• [cs.LG]Wasserstein Routed Capsule Networks
• [cs.MA]Proceedings of the First Wor
1000
kshop on Agents and Robots for reliable Engineered Autonomy
• [cs.NI]An Intelligent QoS Algorithm for Home Networks
• [cs.NI]Characterization and Identification of 5G Performance Bottlenecks: An Experimental Study
• [cs.OS]DBOS: A Proposal for a Data-Centric Operating System
• [cs.RO]Collaborative Localization of Aerial and Ground Mobile Robots through Orthomosaic Map
• [cs.RO]Contact-Implicit Trajectory Optimization using an Analytically Solvable Contact Model for Locomotion on Variable Ground
• [cs.RO]Dynamic Task Allocation for Robotic Network Cloud Systems
• [cs.RO]Learning the Latent Space of Robot Dynamics for Cutting Interaction Inference
• [cs.SE]A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective
• [cs.SI]A Multi-Semantic Metapath Model for Large Scale Heterogeneous Network Representation Learning
• [cs.SI]Explainable Rumor Detection using Inter and Intra-feature Attention Networks
• [cs.SI]Fast Graphlet Transform of Sparse Graphs
• [cs.SI]Information disorders on Italian Facebook during COVID-19 infodemic
• [eess.AS]Resource-Efficient Speech Mask Estimation for Multi-Channel Speech Enhancement
• [eess.IV]Feature based Sequential Classifier with Attention Mechanism
• [eess.IV]MI^2GAN: Generative Adversarial Network for Medical Image Domain Adaptation using Mutual Information Constraint
• [eess.IV]One Click Lesion RECIST Measurement and Segmentation on CT Scans
• [eess.SP]Blind hierarchical deconvolution
• [eess.SP]Cache-enabling UAV Communications: Network Deployment and Resource Allocation
• [eess.SP]Sensor-Based Continuous Hand Gesture Recognition by Long Short-Term Memory
• [math.ST]Edgeworth corrections for spot volatility estimator
• [math.ST]Maximum Likelihood Estimation of a Likelihood Ratio Ordered Family of Distributions
• [math.ST]Maximum likelihood estimation of potential energy in interacting particle systems from single-trajectory data
• [math.ST]Rounding random variables to finite precision
• [math.ST]The All-or-Nothing Phenomenon in Sparse Tensor PCA
• [math.ST]The Complete Lasso Diagram
• [math.ST]Wasserstein Statistics in One-dimensional Location-Scale Model
• [physics.comp-ph]Coarse Graining Molecular Dynamics with Graph Neural Networks
• [physics.comp-ph]Multi-scale Deep Neural Network (MscaleDNN) for Solving Poisson-Boltzmann Equation in Complex Domains
• [physics.soc-ph]Backtesting the predictability of COVID-19
• [quant-ph]Asymptotic relative submajorization of multiple-state boxes
• [stat.AP]A Comparison of Aggregation Methods for Probabilistic Forecasts of COVID-19 Mortality in the United States
• [stat.AP]Model-based simultaneous inference for multiple subgroups and multiple endpoints
• [stat.AP]The Ockham’s razor applied to COVID-19 model fitting French data
• [stat.CO]A Parallel Evolutionary Multiple-Try Metropolis Markov Chain Monte Carlo Algorithm for Sampling Spatial Partitions
• [stat.ME]A Generalized Hosmer-Lemeshow Goodness-of-Fit Test for a Family of Generalized Linear Models
• [stat.ME]ADAGES: adaptive aggregation with stability for distributed feature selection
• [stat.ME]Angle-based hierarchical classification using exact label embedding
• [stat.ME]Autonomous Tracking and State Estimation with Generalised Group Lasso
• [stat.ME]Bayesian Decision Analysis and Constrained Forecasting
• [stat.ME]Causal Discovery with Unobserved Confounding and non-Gaussian Data
• [stat.ME]Flexible nonstationary spatio-temporal modeling of high-frequency monitoring data
• [stat.ME]On Optimal and Feasible Regularization in Linear Models in Time Series
• [stat.ME]Outcome-Guided Disease Subtyping for High-Dimensional Omics Data
• [stat.ML]Efficient Graph-Based Active Learning with Probit Likelihood via Gaussian Approximations
• [stat.ML]Fused-Lasso Regularized Cholesky Factors of Large Nonstationary Covariance Matrices of Longitudinal Data
• [stat.ML]MetAL: Active Semi-Supervised Learning on Graphs via Meta Learning
• [stat.ML]Spectral estimation from simulations via sketching
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• [cond-mat.dis-nn]Activation function dependence of the storage capacity of treelike neural networks
Jacob A. Zavatone-Veth, Cengiz Pehlevan
http://arxiv.org/abs/2007.11136v1
• [cs.AI]Predicting job-hopping likelihood using answers to open-ended interview questions
Madhura Jayaratne, Buddhi Jayatilleke
http://arxiv.org/abs/2007.11189v1
• [cs.AI]Sistema experto para el diagnóstico de enfermedades y plagas en los cultivos del arroz, tabaco, tomate, pimiento, maíz, pepino y frijol
Ing. Yosvany Medina Carbó, MSc. Iracely Milagros Santana Ges, Lic. Saily Leo González
http://arxiv.org/abs/2007.11038v1
• [cs.CL]Exploratory Search with Sentence Embeddings
Austin Silveria
http://arxiv.org/abs/2007.11198v1
• [cs.CL]IITK at the FinSim Task: Hypernym Detection in Financial Domain via Context-Free and Contextualized Word Embeddings
Vishal Keswani, Sakshi Singh, Ashutosh Modi
http://arxiv.org/abs/2007.11201v1
• [cs.CL]SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection
Dominik Schlechtweg, Barbara McGillivray, Simon Hengchen, Haim Dubossarsky, Nina Tahmasebi
http://arxiv.org/abs/2007.11464v1
• [cs.CL]When Classical Chinese Meets Machine Learning: Explaining the Relative Performances of Word and Sentence Segmentation Tasks
Chao-Lin Liu, Chang-Ting Chu, Wei-Ting Chang, Ti-Yong Zheng
http://arxiv.org/abs/2007.11171v1
• [cs.CL]Will Your Forthcoming Book be Successful? Predicting Book Success with CNN and Readability Scores
Muhammad Khalifa, Aminul Islam
http://arxiv.org/abs/2007.11073v1
• [cs.CR]Byzantine-Resilient Secure Federated Learning
Jinhyun So, Basak Guler, A. Salman Avestimehr
http://arxiv.org/abs/2007.11115v1
• [cs.CR]Yggdrasil: Privacy-aware Dual Deduplication in Multi Client Settings
Hadi Sehat, Elena Pagnin, Daniel E. Lucani
http://arxiv.org/abs/2007.11403v1
• [cs.CV]A Framework based on Deep Neural Networks to Extract Anatomy of Mosquitoes from Images
Mona Minakshi, Pratool Bharti, Tanvir Bhuiyan, Sherzod Kariev, Sriram Chellappan
http://arxiv.org/abs/2007.11052v1
• [cs.CV]A Hybrid Neuromorphic Object Tracking and Classification Framework for Real-time Systems
Andres Ussa, Chockalingam Senthil Rajen, Deepak Singla, Jyotibdha Acharya, Gideon Fu Chuanrong, Arindam Basu, Bharath Ramesh
http://arxiv.org/abs/2007.11404v1
• [cs.CV]Accelerating Deep Learning Applications in Space
Martina Lofqvist, José Cano
http://arxiv.org/abs/2007.11089v1
• [cs.CV]An Image Analogies Approach for Multi-Scale Contour Detection
Slimane Larabi, Neil M. Robertson
http://arxiv.org/abs/2007.11047v1
• [cs.CV]Attend and Segment: Attention Guided Active Semantic Segmentation
Soroush Seifi, Tinne Tuytelaars
http://arxiv.org/abs/2007.11548v1
• [cs.CV]BorderDet: Border Feature for Dense Object Detection
Han Qiu, Yuchen Ma, Zeming Li, Songtao Liu, Jian Sun
http://arxiv.org/abs/2007.11056v1
• [cs.CV]Camera On-boarding for Person Re-identification using Hypothesis Transfer Learning
Sk Miraj Ahmed, Aske R Lejbølle, Rameswar Panda, Amit K. Roy-Chowdhury
http://arxiv.org/abs/2007.11149v1
• [cs.CV]Combining Implicit Function Learning and Parametric Models for 3D Human Reconstruction
Bharat Lal Bhatnagar, Cristian Sminchisescu, Christian Theobalt, Gerard Pons-Moll
http://arxiv.org/abs/2007.11432v1
• [cs.CV]Creating a Large-scale Synthetic Dataset for Human Activity Recognition
Ollie Matthews, Koki Ryu, Tarun Srivastava
http://arxiv.org/abs/2007.11118v1
• [cs.CV]CrossTransformers: spatially-aware few-shot transfer
Carl Doersch, Ankush Gupta, Andrew Zisserman
http://arxiv.org/abs/2007.11498v1
• [cs.CV]Deep Models and Shortwave Infrared Information to Detect Face Presentation Attacks
Guillaume Heusch, Anjith George, David Geissbuhler, Zohreh Mostaani, Sebastien Marcel
http://arxiv.org/abs/2007.11469v1
• [cs.CV]Deep Variational Instance Segmentation
Jialin Yuan, Chao Chen, Li Fuxin
http://arxiv.org/abs/2007.11576v1
• [cs.CV]Deep-VFX: Deep Action Recognition Driven VFX for Short Video
Ao Luo, Ning Xie, Zhijia Tao, Feng Jiang
http://arxiv.org/abs/2007.11257v1
• [cs.CV]DeepCLR: Correspondence-Less Architecture for Deep End-to-End Point Cloud Registration
Markus Horn, Nico Engel, Vasileios Belagiannis, Michael Buchholz, Klaus Dietmayer
http://arxiv.org/abs/2007.11255v1
• [cs.CV]DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation
Alexandre Carlier, Martin Danelljan, Alexandre Alahi, Radu Timofte
http://arxiv.org/abs/2007.11301v1
• [cs.CV]Depthwise Spatio-Temporal STFT Convolutional Neural Networks for Human Action Recognition
Sudhakar Kumawat, Manisha Verma, Yuta Nakashima, Shanmuganathan Raman
http://arxiv.org/abs/2007.11365v1
• [cs.CV]Directional Temporal Modeling for Action Recognition
Xinyu Li, Bing Shuai, Joseph Tighe
http://arxiv.org/abs/2007.11040v1
• [cs.CV]Edge-aware Graph Representation Learning and Reasoning for Face Parsing
Gusi Te, Yinglu Liu, Wei Hu, Hailin Shi, Tao Mei
http://arxiv.org/abs/2007.11240v1
• [cs.CV]Endo-Sim2Real: Consistency learning-based domain adaptation for instrument segmentation
Manish Sahu, Ronja Strömsdörfer, Anirban Mukhopadhyay, Stefan Zachow
http://arxiv.org/abs/2007.11514v1
• [cs.CV]Exploiting Temporal Coherence for Self-Supervised One-shot Video Re-identification
Dripta S. Raychaudhuri, Amit K. Roy-Chowdhury
http://arxiv.org/abs/2007.11064v1
• [cs.CV]FLOT: Scene Flow on Point Clouds Guided by Optimal Transport
Gilles Puy, Alexandre Boulch, Renaud Marlet
http://arxiv.org/abs/2007.11142v1
• [cs.CV]FedOCR: Communication-Efficient Federated Learning for Scene Text Recognition
Wenqing Zhang, Yang Qiu, Song Bai, Rui Zhang, Xiaolin Wei, Xiang Bai
http://arxiv.org/abs/2007.11462v1
• [cs.CV]Fragments-Exp
61f
ert: A Graphical User Interface MATLAB Toolbox for Classification of File Fragments
Mehdi Teimouri, Zahra Seyedghorban, Fatemeh Amirjani
http://arxiv.org/abs/2007.11246v1
• [cs.CV]Greenhouse Segmentation on High-Resolution Optical Satellite Imagery using Deep Learning Techniques
Orkhan Baghirli, Imran Ibrahimli, Tarlan Mammadzada
http://arxiv.org/abs/2007.11222v1
• [cs.CV]Human-Centered Unsupervised Segmentation Fusion
Gregor Koporec, Janez Perš
http://arxiv.org/abs/2007.11361v1
• [cs.CV]Improving Monocular Depth Estimation by Leveraging Structural Awareness and Complementary Datasets
Tian Chen, Shijie An, Yuan Zhang, Chongyang Ma, Huayan Wang, Xiaoyan Guo, Wen Zheng
http://arxiv.org/abs/2007.11256v1
• [cs.CV]Instance-aware Self-supervised Learning for Nuclei Segmentation
Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng
http://arxiv.org/abs/2007.11186v1
• [cs.CV]Learnable Cost Volume Using the Cayley Representation
Taihong Xiao, Jinwei Yuan, Deqing Sun, Qifei Wang, Xin-Yu Zhang, Kehan Xu, Ming-Hsuan Yang
http://arxiv.org/abs/2007.11431v1
• [cs.CV]Learnable Descent Algorithm for Nonsmooth Nonconvex Image Reconstruction
Yunmei Chen, Hongcheng Liu, Xiaojing Ye, Qingchao Zhang
http://arxiv.org/abs/2007.11245v1
• [cs.CV]Learning Directional Feature Maps for Cardiac MRI Segmentation
Feng Cheng, Cheng Chen, Yukang Wang, Heshui Shi, Yukun Cao, Dandan Tu, Changzheng Zhang, Yongchao Xu
http://arxiv.org/abs/2007.11349v1
• [cs.CV]Learning Disentangled Feature Representation for Hybrid-distorted Image Restoration
Xin Li, Xin Jin, Jianxin Lin, Tao Yu, Sen Liu, Yaojun Wu, Wei Zhou, Zhibo Chen
http://arxiv.org/abs/2007.11430v1
• [cs.CV]Learning Object Relation Graph and Tentative Policy for Visual Navigation
Heming Du, Xin Yu, Liang Zheng
http://arxiv.org/abs/2007.11018v1
• [cs.CV]Learning One Class Representations for Face Presentation Attack Detection using Multi-channel Convolutional Neural Networks
Anjith George, Sebastien Marcel
http://arxiv.org/abs/2007.11457v1
• [cs.CV]Leveraging Undiagnosed Data for Glaucoma Classification with Teacher-Student Learning
Junde Wu, Shuang Yu, Wenting Chen, Kai Ma, Rao Fu, Hanruo Liu, Xiaoguang Di, Yefeng Zheng
http://arxiv.org/abs/2007.11355v1
• [cs.CV]Movement Assessment from Skeleton Videos: A Review
Tal Hakim
http://arxiv.org/abs/2007.10737v2
• [cs.CV]Multi-Spectral Facial Biometrics in Access Control
K. Lai, S. Samoil, S. N. Yanushkevich
http://arxiv.org/abs/2007.11318v1
• [cs.CV]Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning
Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa
http://arxiv.org/abs/2007.11330v1
• [cs.CV]Neural Sparse Voxel Fields
Lingjie Liu, Jiatao Gu, Kyaw Zaw Lin, Tat-Seng Chua, Christian Theobalt
http://arxiv.org/abs/2007.11571v1
• [cs.CV]PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding
Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas J. Guibas, Or Litany
http://arxiv.org/abs/2007.10985v2
• [cs.CV]Real-Time Instrument Segmentation in Robotic Surgery using Auxiliary Supervised Deep Adversarial Learning
Mobarakol Islam, Daniel A. Atputharuban, Ravikiran Ramesh, Hongliang Ren
http://arxiv.org/abs/2007.11319v1
• [cs.CV]Regularizing Deep Networks with Semantic Data Augmentation
Yulin Wang, Gao Huang, Shiji Song, Xuran Pan, Yitong Xia, Cheng Wu
http://arxiv.org/abs/2007.10538v2
• [cs.CV]Rethinking CNN Models for Audio Classification
Kamalesh Palanisamy, Dipika Singhania, Angela Yao
http://arxiv.org/abs/2007.11154v1
• [cs.CV]Risk Assessment in the Face-based Watchlist Screening in e-Border
Kenneth Lai, Svetlana N. Yanushkevich, Vlad Shmerko
http://arxiv.org/abs/2007.11323v1
• [cs.CV]Self-supervised Feature Learning via Exploiting Multi-modal Data for Retinal Disease Diagnosis
Xiaomeng Li, Mengyu Jia, Md Tauhidul Islam, Lequan Yu, Lei Xing
http://arxiv.org/abs/2007.11067v1
• [cs.CV]Unsupervised Shape and Pose Disentanglement for 3D Meshes
Keyang Zhou, Bharat Lal Bhatnagar, Gerard Pons-Moll
http://arxiv.org/abs/2007.11341v1
• [cs.CV]Video-ception Network: Towards Multi-Scale Efficient Asymmetric Spatial-Temporal Interactions
Yuan Tian, Guangzhao Zhai, Zhiyong Gao
http://arxiv.org/abs/2007.11460v1
• [cs.CV]Watchlist Risk Assessment using Multiparametric Cost and Relative Entropy
K. Lai, S. N. Yanushkevich
http://arxiv.org/abs/2007.11328v1
• [cs.CV]Who Left the Dogs Out? 3D Animal Reconstruction with Expectation Maximization in the Loop
Benjamin Biggs, Oliver Boyne, James Charles, Andrew Fitzgibbon, Roberto Cipolla
http://arxiv.org/abs/2007.11110v1
• [cs.CY]Big Issues for Big Data
Chris Brunsdon, Alexis Comber
http://arxiv.org/abs/2007.11281v1
• [cs.CY]Designing a Novel Method for Personalizing Recommendations to Decrease Plastic Pollution
Seung Ah Choi
http://arxiv.org/abs/2007.11134v1
• [cs.CY]How different age groups responded to the COVID-19 pandemic in terms of mobility behaviors: a case study of the United States
Aliakbar Kabiri, Aref Darzi, Weiyi Zhou, Qianqian Sun, Lei Zhang
http://arxiv.org/abs/2007.10436v2
• [cs.CY]How to Increase Interest in Studying Functional Programming via Interdisciplinary Application
Pedro Figueirêdo, Yuri Kim, Le Minh Nghia, Evan Sitt, Xue Ying, Viktória Zsók
http://arxiv.org/abs/2007.11070v1
• [cs.CY]Internet of Things for Current COVID-19 and Future Pandemics: An Exploratory Study
Mohammad Nasajpour, Seyedamin Pouriyeh, Reza M. Parizi, Mohsen Dorodchi, Maria Valero, Hamid R. Arabnia
http://arxiv.org/abs/2007.11147v1
• [cs.CY]Online Monitoring of Global Attitudes Towards Wildlife
Joss Wright, Robert Lennox, Diogo Veríssimo
http://arxiv.org/abs/2007.11506v1
• [cs.CY]Regulating human control over autonomous systems
Mikolaj firlej, Araz Taeihagh
http://arxiv.org/abs/2007.11218v1
• [cs.DC]Collectives in hybrid MPI+MPI code: design, practice and performance
Huan Zhou, Jose Gracia, Naweiluo Zhou, Ralf Schneider
http://arxiv.org/abs/2007.11496v1
• [cs.DC]ZigZag: A Memory-Centric Rapid DNN Accelerator Design Space Exploration Framework
Linyan Mei, Pouya Houshmand, Vikram Jain, Sebastian Giraldo, Marian Verhelst
http://arxiv.org/abs/2007.11360v1
• [cs.GT]Exploiting No-Regret Algorithms in System Design
Le Cong Dinh, Nick Bishop, Long Tran-Thanh
http://arxiv.org/abs/2007.11172v1
• [cs.GT]When to (or not to) trust intelligent machines: Insights from an evolutionary game theory analysis of trust in repeated games
The Anh Han, Cedric Perret, Simon T. Powers
http://arxiv.org/abs/2007.11338v1
• [cs.HC]Interpolating GANs to Scaffold Autotelic Creativity
Ziv Epstein, Océane Boulais, Skylar Gordon, Matt Groh
http://arxiv.org/abs/2007.11119v1
• [cs.HC]Towards Social & Engaging Peer Learning: Predicting Backchanneling and Disengagement in Children
Mononito Goswami, Minkush Manuja, Maitree Leekha
http://arxiv.org/abs/2007.11346v1
• [cs.IR]Detecting Quality Problems in Research Data: A Model-Driven Approach
Arno Kesper, Viola Wenz, Gabriele Taentzer
http://arxiv.org/abs/2007.11298v1
• [cs.IR]Understanding BERT Rankers Under Distillation
Luyu Gao, Zhuyun Dai, Jamie Callan
http://arxiv.org/abs/2007.11088v1
• [cs.IT]A New Combinatorial Coded Design for Heterogeneous Distributed Computing
Nicholas Woolsey, Rong-Rong Chen, Mingyue Ji
http://arxiv.org/abs/2007.11116v1
• [cs.IT]Implementation of a High-Throughput Fast-SSC Polar Decoder with Sequence Repetition Node
Haotian Zheng, Alexios Balatsoukas-Stimming, Zizheng Cao, Ton Koonen
http://arxiv.org/abs/2007.11394v1
• [cs.IT]Learning Centric Power Allocation for Edge Intelligence
Shuai Wang, Rui Wang, Qi Hao, Yik-Chung Wu, H. Vincent Poor
http://arxiv.org/abs/2007.11399v1
• [cs.IT]Multi-reference alignment in high dimensions: sample complexity and phase transition
Elad Romanov, Tamir Bendory, Or Ordentlich
http://arxiv.org/abs/2007.11482v1
• [cs.IT]Preconditioned Gradient Descent Algorithm for Inverse Filtering on Spatially Distributed Networks
Cheng Cheng, Nazar Emirov, Qiyu Sun
http://arxiv.org/abs/2007.11491v1
• [cs.IT]Semantics-Empowered Communication for Networked Intelligent Systems
Marios Kountouris, Nikolaos Pappas
http://arxiv.org/abs/2007.11579v1
• [cs.LG]A Gradient-based Bilevel Optimization Approach for Tuning Hyperparameters in Machine Learning
Ankur Sinha, Tanmay Khandait, Raja Mohanty
http://arxiv.org/abs/2007.11022v1
• [cs.LG]A Note on the Linear Convergence of Policy Gradient Methods
Jalaj Bhandari, Daniel Russo
http://arxiv.org/abs/2007.11120v1
• [cs.LG]Adversarial Training Reduces Information and Improves Transferability
Matteo Terzi, Alessandro Achille, Marco Maggipinto, Gian Antonio Susto
http://arxiv.org/abs/2007.11259v1
• [cs.LG]Complex Sequential Data Analysis: A Systematic Literature Review of Existing Algorithms
Kudakwashe Dandajena, Isabella M. Venter, Mehrdad Ghaziasgar, Reg Dodds
http://arxiv.org/abs/2007.11572v1
• [cs.LG]Compressing invariant manifolds in neural nets
Jonas Paccolat, Leonardo Petrini, Mario Geiger, Kevin Tyloo, Matthieu Wyart
http://arxiv.org/abs/2007.11471v1
• [cs.LG]DEAL: Deep Evidential Active Learning for Image Classification
Patrick Hemmer, Niklas Kühl, Jakob Schöffer
http://arxiv.org/abs/2007.11344v1
• [cs.LG]Debiasing Concept Bottleneck Models with Instrumental Variables
Mohammad Taha Bahadori, David E. Heckerman
http://arxiv.org/abs/2007.11500v1
• [cs.LG]EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL
Seyed Kamyar Seyed Ghasemipour, Dale Schuurmans, Shixiang Shane Gu
http://arxiv.org/abs/2007.11091v1
• [cs.LG]Graph Neural Networks with Haar Transform-Based Convolution and Pooling: A Complete Guide
Xuebin Zheng, Bingxin Zhou, Ming Li, Yu Guang Wang, Junbin Gao
http://arxiv.org/abs/2007.11202v1
• [cs.LG]IBM Federated Learning: an Enterprise Framework White Paper V0.1
Heiko Ludwig, Nathalie Baracaldo, Gegi Thomas, Yi Zhou, Ali Anwar, Shashank Rajamoni, Yuya Ong, Jayaram Radhakrishnan, Ashish Verma, Mathieu Sinn, Mark Purcell, Ambrish Rawat, Tran Minh, Naoise Holohan, Supriyo Chakraborty, Shalisha Whitherspoon, Dean Steuer, Laura Wynter, Hifaz Hassan, Sean Laguna, Mikhail Yurochkin, Mayank Agarwal, Ebube Chuba, Annie Abay
http://arxiv.org/abs/2007.10987v1
• [cs.LG]Improving Deep Learning with Differential Privacy using Gradient Encoding and Denoising
Milad Nasr, Reza Shokri, Amir houmansadr
http://arxiv.org/abs/2007.11524v1
• [cs.LG]InstanceFlow: Visualizing the Evolution of Classifier Confusion on the Instance Level
Michael Pühringer, Andreas Hinterreiter, Marc Streit
http://arxiv.org/abs/2007.11353v1
• [cs.LG]Interpretable Anomaly Detection with DIFFI: Depth-based Feature Importance for the Isolation Forest
Mattia Carletti, Matteo Terzi, Gian Antonio Susto
http://arxiv.org/abs/2007.11117v1
• [cs.LG]On the Rademacher Complexity of Linear Hypothesis Sets
Pranjal Awasthi, Natalie Frank, Mehryar Mohri
http://arxiv.org/abs/2007.11045v1
• [cs.LG]PackIt: A Virtual Environment for Geometric Planning
Ankit Goyal, Jia Deng
http://arxiv.org/abs/2007.11121v1
• [cs.LG]SOCRATES: Towards a Unified Platform for Neural Network Verification
Long H. Pham, Jiaying Li, Jun Sun
http://arxiv.org/abs/2007.11206v1
• [cs.LG]Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks
Ping Wang, Khushbu Agarwal, Colby Ham, Sutanay Choudhury, Chandan K. Reddy
http://arxiv.org/abs/2007.11192v1
• [cs.LG]Simplex-Structured Matrix Factorization: Sparsity-based Identifiability and Provably Correct Algorithms
Maryam Abdolali, Nicolas Gillis
http://arxiv.org/abs/2007.11446v1
• [cs.LG]Spectral Clustering using Eigenspectrum Shape Based Nystrom Sampling
Djallel Bouneffouf
http://arxiv.org/abs/2007.11416v1
• [cs.LG]Storage Fit Learning with Feature Evolvable Streams
Bo-Jian Hou, Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou
http://arxiv.org/abs/2007.11280v1
• [cs.LG]Supervised learning on heterogeneous, attributed entities interacting over time
Amine Laghaout
http://arxiv.org/abs/2007.11455v1
• [cs.LG]Time-Reversal Symmetric ODE Network
In Huh, Eunho Yang, Sung Ju Hwang, Jinwoo Shin
http://arxiv.org/abs/2007.11362v1
• [cs.LG]Time-aware Graph Embedding: A temporal smoothness and task-oriented approach
Yonghui Xu, Shengjie Sun, Yuan Miao, Dong Yang, Xiaonan Meng, Yi Hu, Ke Wang, Hengjie Song, Chuanyan Miao
http://arxiv.org/abs/2007.11164v1
• [cs.LG]Unsupervised Learning of Solutions to Differential Equations with Generative Adversarial Networks
Dylan Randle, Pavlos Protopapas, David Sondak
http://arxiv.org/abs/2007.11133v1
• [cs.LG]Wasserstein Routed Capsule Networks
Alexander Fuchs, Franz Pernkopf
http://arxiv.org/abs/2007.11465v1
• [cs.MA]Proceedings of the First Wor
1000
kshop on Agents and Robots for reliable Engineered Autonomy
Rafael C. Cardoso, Angelo Ferrando, Daniela Briola, Claudio Menghi, Tobias Ahlbrecht
http://arxiv.org/abs/2007.11260v1
• [cs.NI]An Intelligent QoS Algorithm for Home Networks
Wen-Jyi Hwang, Tsung-Ming Tai, Bo-Ting Pan, Tun-Yao Lou, Yun-Jie Jhang
http://arxiv.org/abs/2007.11273v1
• [cs.NI]Characterization and Identification of 5G Performance Bottlenecks: An Experimental Study
G. Patounas, X. Foukas, A. Elmokashfi, M. K. Marina
http://arxiv.org/abs/2007.11472v1
• [cs.OS]DBOS: A Proposal for a Data-Centric Operating System
Michael Cafarella, David DeWitt, Vijay Gadepally, Jeremy Kepner, Christos Kozyrakis, Tim Kraska, Michael Stonebraker, Matei Zaharia
http://arxiv.org/abs/2007.11112v1
• [cs.RO]Collaborative Localization of Aerial and Ground Mobile Robots through Orthomosaic Map
Zexi Chen, Xuecheng Xu, Yue Wang, Yunkai Wang, Rong Xiong
http://arxiv.org/abs/2007.11233v1
• [cs.RO]Contact-Implicit Trajectory Optimization using an Analytically Solvable Contact Model for Locomotion on Variable Ground
Iordanis Chatzinikolaidis, Yangwei You, Zhibin Li
http://arxiv.org/abs/2007.11261v1
• [cs.RO]Dynamic Task Allocation for Robotic Network Cloud Systems
Saeid Alirezazadeh, Luís A. Alexandre
http://arxiv.org/abs/2007.11534v1
• [cs.RO]Learning the Latent Space of Robot Dynamics for Cutting Interaction Inference
Sahand Rezaei-Shoshtari, David Meger, Inna Sharf
http://arxiv.org/abs/2007.11167v1
• [cs.SE]A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective
Sin Kit Lo, Qinghua Lu, Chen Wang, Helen Paik, Liming Zhu
http://arxiv.org/abs/2007.11354v1
• [cs.SI]A Multi-Semantic Metapath Model for Large Scale Heterogeneous Network Representation Learning
Xuandong Zhao, Jinbao Xue, Jin Yu, Xi Li, Hongxia Yang
http://arxiv.org/abs/2007.11380v1
• [cs.SI]Explainable Rumor Detection using Inter and Intra-feature Attention Networks
Mingxuan Chen, Ning Wang, K. P. Subbalakshmi
http://arxiv.org/abs/2007.11057v1
• [cs.SI]Fast Graphlet Transform of Sparse Graphs
Dimitris Floros, Nikos Pitsianis, Xiaobai Sun
http://arxiv.org/abs/2007.11111v1
• [cs.SI]Information disorders on Italian Facebook during COVID-19 infodemic
Alessandro Celestini, Marco Di Giovanni, Stefano Guarino, Francesco Pierri
http://arxiv.org/abs/2007.11302v1
• [eess.AS]Resource-Efficient Speech Mask Estimation for Multi-Channel Speech Enhancement
Lukas Pfeifenberger, Matthias Zöhrer, Günther Schindler, Wolfgang Roth, Holger Fröning, Franz Pernkopf
http://arxiv.org/abs/2007.11477v1
• [eess.IV]Feature based Sequential Classifier with Attention Mechanism
Sudhir Sornapudi, R. Joe Stanley, William V. Stoecker, Rodney Long, Zhiyun Xue, Rosemary Zuna, Shelliane R. Frazier, Sameer Antani
http://arxiv.org/abs/2007.11392v1
• [eess.IV]MI^2GAN: Generative Adversarial Network for Medical Image Domain Adaptation using Mutual Information Constraint
Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng
http://arxiv.org/abs/2007.11180v1
• [eess.IV]One Click Lesion RECIST Measurement and Segmentation on CT Scans
Youbao Tang, Ke Yan, Jing Xiao, Ranold M. Summers
http://arxiv.org/abs/2007.11087v1
• [eess.SP]Blind hierarchical deconvolution
Arttu Arjas, Lassi Roininen, Mikko J. Sillanpää, Andreas Hauptmann
http://arxiv.org/abs/2007.11391v1
• [eess.SP]Cache-enabling UAV Communications: Network Deployment and Resource Allocation
Tiankui Zhang, Yi Wang, Yuanwei Liu, Wenjun Xu, Arumugam Nallanathan
http://arxiv.org/abs/2007.11501v1
• [eess.SP]Sensor-Based Continuous Hand Gesture Recognition by Long Short-Term Memory
Tsung-Ming Tai, Yun-Jie Jhang, Zhen-Wei Liao, Kai-Chung Teng, Wen-Jyi Hwang
http://arxiv.org/abs/2007.11268v1
• [math.ST]Edgeworth corrections for spot volatility estimator
Lidan He, Qiang Liu, Zhi Liu
http://arxiv.org/abs/2007.11405v1
• [math.ST]Maximum Likelihood Estimation of a Likelihood Ratio Ordered Family of Distributions
Alexandre Mösching, Lutz Dümbgen
http://arxiv.org/abs/2007.11521v1
• [math.ST]Maximum likelihood estimation of potential energy in interacting particle systems from single-trajectory data
Xiaohui Chen
http://arxiv.org/abs/2007.11048v1
• [math.ST]Rounding random variables to finite precision
Tyler Chen
http://arxiv.org/abs/2007.11041v1
• [math.ST]The All-or-Nothing Phenomenon in Sparse Tensor PCA
Jonathan Niles-Weed, Ilias Zadik
http://arxiv.org/abs/2007.11138v1
• [math.ST]The Complete Lasso Diagram
Hua Wang, Yachong Yang, Zhiqi Bu, Weijie J. Su
http://arxiv.org/abs/2007.11078v1
• [math.ST]Wasserstein Statistics in One-dimensional Location-Scale Model
Shun-ichi Amari, Takeru Matsuda
http://arxiv.org/abs/2007.11401v1
• [physics.comp-ph]Coarse Graining Molecular Dynamics with Graph Neural Networks
Brooke E. Husic, Nicholas E. Charron, Dominik Lemm, Jiang Wang, Adrià Pérez, Andreas Krämer, Yaoyi Chen, Simon Olsson, Gianni de Fabritiis, Frank Noé, Cecilia Clementi
http://arxiv.org/abs/2007.11412v1
• [physics.comp-ph]Multi-scale Deep Neural Network (MscaleDNN) for Solving Poisson-Boltzmann Equation in Complex Domains
Ziqi Liu, Wei Cai, Zhi-Qin John Xu
http://arxiv.org/abs/2007.11207v1
• [physics.soc-ph]Backtesting the predictability of COVID-19
Dmitry Gordeev, Philipp Singer, Marios Michailidis, Mathias Müller, SriSatish Ambati
http://arxiv.org/abs/2007.11411v1
• [quant-ph]Asymptotic relative submajorization of multiple-state boxes
Gergely Bunth, Péter Vrana
http://arxiv.org/abs/2007.11258v1
• [stat.AP]A Comparison of Aggregation Methods for Probabilistic Forecasts of COVID-19 Mortality in the United States
Kathryn S. Taylor, James W. Taylor
http://arxiv.org/abs/2007.11103v1
• [stat.AP]Model-based simultaneous inference for multiple subgroups and multiple endpoints
Charlotte Vogel, Frank Schaarschmidt, Christian Ritz, Franz Koenig, Ludwig A. Hothorn
http://arxiv.org/abs/2007.11358v1
• [stat.AP]The Ockham’s razor applied to COVID-19 model fitting French data
Mirko Fiacchini, Mazen Alamir
http://arxiv.org/abs/2007.11379v1
• [stat.CO]A Parallel Evolutionary Multiple-Try Metropolis Markov Chain Monte Carlo Algorithm for Sampling Spatial Partitions
Wendy K. Tam Cho, Yan Y. Liu
http://arxiv.org/abs/2007.11461v1
• [stat.ME]A Generalized Hosmer-Lemeshow Goodness-of-Fit Test for a Family of Generalized Linear Models
Nikola Surjanovic, Richard Lockhart, Thomas M. Loughin
http://arxiv.org/abs/2007.11049v1
• [stat.ME]ADAGES: adaptive aggregation with stability for distributed feature selection
Yu Gui
http://arxiv.org/abs/2007.10776v2
• [stat.ME]Angle-based hierarchical classification using exact label embedding
Yiwei Fan, Xiaoling Lu, Yufeng Liu, Junlong Zhao
http://arxiv.org/abs/2007.11152v1
• [stat.ME]Autonomous Tracking and State Estimation with Generalised Group Lasso
Rui Gao, Simo Särkkä, Rubén Claveria-Vega, Simon Godsill
http://arxiv.org/abs/2007.11573v1
• [stat.ME]Bayesian Decision Analysis and Constrained Forecasting
Mike West
http://arxiv.org/abs/2007.11037v1
• [stat.ME]Causal Discovery with Unobserved Confounding and non-Gaussian Data
Y. Samuel Wang, Mathias Drton
http://arxiv.org/abs/2007.11131v1
• [stat.ME]Flexible nonstationary spatio-temporal modeling of high-frequency monitoring data
Christopher J. Geoga, Mihai Anitescu, Michael L. Stein
http://arxiv.org/abs/2007.11418v1
• [stat.ME]On Optimal and Feasible Regularization in Linear Models in Time Series
Erez Buchweitz, Shlomo Ahal, Oded Papish, Guy Adini
http://arxiv.org/abs/2007.11306v1
• [stat.ME]Outcome-Guided Disease Subtyping for High-Dimensional Omics Data
Peng Liu, Yusi Fang, Zhao Ren, Lu Tang, George C. Tseng
http://arxiv.org/abs/2007.11123v1
• [stat.ML]Efficient Graph-Based Active Learning with Probit Likelihood via Gaussian Approximations
Kevin Miller, Hao Li, Andrea L. Bertozzi
http://arxiv.org/abs/2007.11126v1
• [stat.ML]Fused-Lasso Regularized Cholesky Factors of Large Nonstationary Covariance Matrices of Longitudinal Data
Aramayis Dallakyan, Mohsen Pourahmadi
http://arxiv.org/abs/2007.11168v1
• [stat.ML]MetAL: Active Semi-Supervised Learning on Graphs via Meta Learning
Kaushalya Madhawa, Tsuyoshi Murata
http://arxiv.org/abs/2007.11230v1
• [stat.ML]Spectral estimation from simulations via sketching
Zhishen Huang, Stephen Becker
http://arxiv.org/abs/2007.11026v1
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