cond-mat.stat-mech - 统计数学
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.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.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.PR - 概率 math.ST - 统计理论 physics.soc-ph - 物理学与社会 q-bio.PE - 人口与发展 q-bio.QM - 定量方法 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
• [cond-mat.stat-mech]Network navigation using Page Rank random walks
• [cs.AI]Deep Learning for Abstract Argumentation Semantics
• [cs.AI]Dueling Deep Q Network for Highway Decision Making in Autonomous Vehicles: A Case Study
• [cs.AI]Efficient State Abstraction using Object-centered Predicates for Manipulation Planning
• [cs.AI]Specification mining and automated task planning for autonomous robots based on a graph-based spatial temporal logic
• [cs.AI]Strengthening Deterministic Policies for POMDPs
• [cs.CL]A Survey on Computational Propaganda Detection
• [cs.CL]Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word Segmentation
• [cs.CL]Hierarchical Interaction Networks with Rethinking Mechanism for Document-level Sentiment Analysis
• [cs.CL]Investigating Pretrained Language Models for Graph-to-Text Generation
• [cs.CL]LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning
• [cs.CL]Overview of CheckThat! 2020: Automatic Identification and Verification of Claims in Social Media
• [cs.CL]SLK-NER: Exploiting Second-order Lexicon Knowledge for Chinese NER
• [cs.CL]Towards Debiasing Sentence Representations
• [cs.CR]Black-Box Watermarking for Generative Adversarial Networks
• [cs.CV]Human Pose Estimation on Privacy-Preserving Low-Resolution Depth Images
• [cs.CV]3D CNN-PCA: A Deep-Learning-Based Parameterization for Complex Geomodels
• [cs.CV]A Refined Deep Learning Architecture for Diabetic Foot Ulcers Detection
• [cs.CV]A high fidelity synthetic face framework for computer vision
• [cs.CV]Accelerating 3D Deep Learning with PyTorch3D
• [cs.CV]Active Visual Information Gathering for Vision-Language Navigation
• [cs.CV]Appearance-Preserving 3D Convolution for Video-based Person Re-identification
• [cs.CV]Attention-Based Query Expansion Learning
• [cs.CV]Autoregressive Unsupervised Image Segmentation
• [cs.CV]Boosting Weakly Supervised Object Detection with Progressive Knowledge Transfer
• [cs.CV]Challenge report:VIPriors Action Recognition Challenge
• [cs.CV]ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning
• [cs.CV]CloudCast: A Satellite-Based Dataset and Baseline for Forecasting Clouds
• [cs.CV]Complete & Label: A Domain Adaptation Approach to Semantic Segmentation of LiDAR Point Clouds
• [cs.CV]Comprehensive Facial Expression Synthesis using Human-Interpretable Language
• [cs.CV]Controllable Image Synthesis via SegVAE
• [cs.CV]D2D: Learning to find good correspondences for image matching and manipulation
• [cs.CV]Defocus Blur Detection via Depth Distillation
• [cs.CV]Do Adversarially Robust ImageNet Models Transfer Better?
• [cs.CV]Efficient Full Image Interactive Segmentation by Leveraging Within-image Appearance Similarity
• [cs.CV]EfficientHRNet: Efficient Scaling for Lightweight High-Resolution Multi-Person Pose Estimation
• [cs.CV]Enhanced detection of fetal pose in 3D MRI by Deep Reinforcement Learning with physical structure priors on anatomy
• [cs.CV]Event Enhanced High-Quality Image Recovery
• [cs.CV]Explaining Deep Neural Networks using Unsupervised Clustering
• [cs.CV]FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning
• [cs.CV]Filter Style Transfer between Photos
• [cs.CV]Image De-Quantization Using Generative Models as Priors
• [cs.CV]Implicit Mesh Reconstruction from Unannotated Image Collections
• [cs.CV]Interactive Video Object Segmentation Using Global and Local Transfer Modules
• [cs.CV]Kernelized Memory Network for Video Object Segmentation
• [cs.CV]Kronecker Attention Networks
• [cs.CV]Layer-Wise Adaptive Updating for Few-Shot Image Classification
• [cs.CV]Learning End-to-End Action Interaction by Paired-Embedding Data Augmentation
• [cs.CV]Learning to Restore a Single Face Image Degraded by Atmospheric Turbulence using CNNs
• [cs.CV]Multi-Task Pruning for Semantic Segmentation Networks
• [cs.CV]Negative Pseudo Labeling using Class Proportion for Semantic Segmentation in Pathology
• [cs.CV]Neuro-Endo-Trainer-Online Assessment System (NET-OAS) for Neuro-Endoscopic Skills Training
• [cs.CV]Odyssey: Creation, Analysis and Detection of Trojan Models
• [cs.CV]On the Capability of Neural Networks to Generalize to Unseen Category-Pose Combinations
• [cs.CV]PerMO: Perceiving More at Once from a Single Image for Autonomous Driving
• [cs.CV]Probabilistic Anchor Assignment with IoU Prediction for Object Detection
• [cs.CV]RepPoints V2: Verification Meets Regression for Object Detection
• [cs.CV]RetrieveGAN: Image Synthesis via Differentiable Patch Retrieval
• [cs.CV]SAILenv: Learning in Virtual Visual Environments Made Simple
• [cs.CV]SSN: Soft Shadow Network for Image Compositing
• [cs.CV]Self-supervision on Unlabelled OR Data for Multi-person 2D/3D Human Pose Estimation
• [cs.CV]Semi-Siamese Training for Shallow Face Learning
• [cs.CV]Separating Sounds from a Single Image
• [cs.CV]Shape Prior Deformation for Categorical 6D Object Pose and Size Estimation
• [cs.CV]Suppress and Balance: A Simple Gated Network for Salient Object Detection
• [cs.CV]The Notary in the Haystack — Countering Class Imbalance in Document Processing with CNNs
• [cs.CV]Towards Evaluating Driver Fatigue with Robust Deep Learning Models
• [cs.CV]Tracking Passengers and Baggage Items using Multi-camera Systems at Security Checkpoints
• [cs.CV]Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters
• [cs.CV]TrashCan: A Semantically-Segmented Dataset towards Visual Detection of Marine Debris
• [cs.CV]Unseen Object Instance Segmentation for Robotic Environments
• [cs.CV]VIPriors Object Detection Challenge
• [cs.CV]Vehicle Detection of Multi-source Remote Sensing Data Using Active Fine-tuning Network
• [cs.CV]Video-based Remote Physiological Measurement via Cross-verified Feature Disentangling
• [cs.CV]Weighing Counts: Sequential Crowd Counting by Reinforcement Learning
• [cs.CV]World-Consistent Video-to-Video Synthesis
• [cs.CV]openDD: A Large-Scale Roundabout Drone Dataset
• [cs.CY]Challenges and Prospects of Negawatt Trading in Light of Recent Technological Developments
• [cs.CY]Elicitation of SME Requirements for Cybersecurity Solutions by Studying Adherence to Recommendations
• [cs.CY]Green Algorithms: Quantifying the carbon emissions of computation
• [cs.CY]SMEs Confidentiality Issues and Adoption of Good Cybersecurity Practices
• [cs.CY]Starting with data: advancing spatial data science by building and sharing high-quality datasets
• [cs.CY]The Unpopularity of the Software Tester Role among Software Practitioners: A Case Study
• [cs.DC]Auto Adaptive Irregular OpenMP Loops
• [cs.DC]Computation Offloading in Beyond 5G Networks: A Distributed Learning Framework and Applications
• [cs.DC]Fast Distributed Bandits for Online Recommendation Systems
• [cs.DC]Feasibility of Cross-Chain Payment with Success Guarantees
• [cs.DC]Gathering with a strong team in weakly Byzantine environments
• [cs.DC]HyperTune: Dynamic Hyperparameter Tuning For Efficient Distribution of DNN Training Over Heterogeneous Systems
• [cs.DC]Local Certification of Graphs with Bounded Genus
• [cs.DC]Process, Systems and Tests: Three Layers in Concurrent Computation
• [cs.DC]Trail: A Blockchain Architecture for Light Nodes
• [cs.DS]Improved Deterministic Network Decomposition
• [cs.DS]Information Theoretic Limits of Cardinality Estimation: Fisher Meets Shannon
• [cs.IR]Collaborative Adversarial Learning for RelationalLearning on Multiple Bipartite Graphs
• [cs.IR]Deep Reinforced Query Reformulation for Information Retrieval
• [cs.IR]Dual Graph Embedding for Object-Tag LinkPrediction on the Knowledge Graph
• [cs.IR]Fighting the COVID-19 Infodemic in Social Media: A Holistic Perspective and a Call to Arms
• [cs.IT]A Product Channel Attack to Wireless Physical Layer Security
• [cs.IT]A Reduced Complexity Ungerboeck Receiver for Quantized Wideband Massive SC-MIMO
• [cs.IT]Area- Efficient VLSI Implementation of Serial-In Parallel-Out Multiplier Using Polynomial Representation in Finite Field GF(2m)
• [cs.IT]Community aware group testing
• [cs.IT]Energy Harvesting in Unmanned Aerial Vehicle Networks with 3D Antenna Radiation Patterns
• [cs.IT]Performance analysis of a distributed algorithm for admission control in wireless networks under the $2$-hop interference model
• [cs.IT]Resource Allocation in Uplink NOMA-IoT Networks: A Reinforcement-Learning Approach
• [cs.IT]Zero Correlation Zone Sequences With Flexible Block-Repetitive Spectral Constraints
• [cs.LG]A fast noise filtering algorithm for time series prediction using recurrent neural networks
• [cs.LG]Active Learning under Label Shift
• [cs.LG]Amended Cross Entropy Cost: Framework For Explicit Diversity Encouragement
• [cs.LG]An Empirical Study on the Robustness of NAS based Architectures
• [cs.LG]CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances
• [cs.LG]Combining Task Predictors via Enhancing Joint Predictability
• [cs.LG]Comparator-adaptive Convex Bandits
• [cs.LG]Compression strategies and space-conscious representations for deep neural networks
• [cs.LG]Conformal Rule-Based Multi-label Classification
• [cs.LG]Convexifying Sparse Interpolation with Infinitely Wide Neural Networks: An Atomic Norm Approach
• [cs.LG]DRIFT: Deep Reinforcement Learning for Functional Software Testing
• [cs.LG]Data Poisoning Attacks Against Federated Learning Systems
• [cs.LG]Data-driven effective model shows a liquid-like deep learning
• [cs.LG]Detecting Out-of-distribution Samples via Variational Auto-encoder with Reliable Uncertainty Estimation
• [cs.LG]Differential Replication in Machine Learning
• [cs.LG]Evaluating and Validating Cluster Results
• [cs.LG]GRADE: Graph Dynamic Embedding
• [cs.LG]Graph topology inference benchmarks for machine learning
• [cs.LG]GraphCL: Contrastive Self-Supervised Learning of Graph Representations
• [cs.LG]Inductive Link Prediction for Nodes Having Only Attribute Information
• [cs.LG]Learning from Noisy Labels with Deep Neural Networks: A Survey
• [cs.LG]Learning perturbation sets for robust machine learning
• [cs.LG]Lottery Tickets in Linear Models: An Analysis of Iterative Magnitude Pruning
• [cs.LG]Memory Based Attentive Fusion
• [cs.LG]Meta-Gradient Reinforcement Learning with an Objective Discovered Online
• [cs.LG]Mixture of Step Returns in Bootstrapped DQN
• [cs.LG]Multilayer Neuromodulated Architectures for Memory-Constrained Online Continual Learning
• [cs.LG]Natural Graph Networks
• [cs.LG]On Power Laws in Deep Ensembles
• [cs.LG]Overcomplete order-3 tensor decomposition, blind deconvolution and Gaussian mixture models
• [cs.LG]PC-PG: Policy Cover Directed Exploration for Provable Policy Gradient Learning
• [cs.LG]Prediction of the onset of cardiovascular diseases from electronic health records using multi-task gated recurrent units
• [cs.LG]Provable Worst Case Guarantees for the Detection of Out-of-Distribution Data
• [cs.LG]Provably Good Batch Reinforcement Learning Without Great Exploration
• [cs.LG]Radial basis function kernel optimization for Support Vector Machine classifiers
• [cs.LG]Random Forest for Dissimilarity-based Multi-view Learning
• [cs.LG]Revisiting Data Complexity Metrics Based on Morphology for Overlap and Imbalance: Snapshot, New Overlap Number of Balls Metrics and Singular Problems Prospect
• [cs.LG]Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs
• [cs.LG]Short-term forecasting of Amazon rainforest fires based on ensemble decomposition model
• [cs.LG]SketchGraphs: A Large-Scale Dataset for Modeling Relational Geometry in Computer-Aided Design
• [cs.LG]Synthesize, Execute and Debug: Learning to Repair for Neural Program Synthesis
• [cs.LG]The Sparse Hausdorff Moment Problem, with Application to Topic Models
• [cs.LG]Transferable Calibration with Lower Bias and Variance in Domain Adaptation
• [cs.LG]Upper Counterfactual Confidence Bounds: a New Optimism Principle for Contextual Bandits
• [cs.LG]Using LSTM and SARIMA Models to Forecast Cluster CPU Usage
• [cs.LO]Solving Random Parity Games in Polynomial Time
• [cs.NE]A Genetic Algorithm for Obtaining Memory Constrained Near-Perfect Hashing
• [cs.NE]Co-generation of game levels and game-playing agents
• [cs.NE]The Univariate Marginal Distribution Algorithm Copes Well With Deception and Epistasis
• [cs.NI]Air Quality Control through Bike Sharing Fleets
• [cs.RO]A Receding Horizon Multi-Objective Planner for Autonomous Surface Vehicles in Urban Waterways
• [cs.RO]Distributed Reinforcement Learning of Targeted Grasping with Active Vision for Mobile Manipulators
• [cs.RO]Dynamics of Serial Manipulators using Dual Quaternion Algebra
• [cs.RO]Improving rigid 3D calibration for robotic surgery
• [cs.RO]Model-Based Manipulation of Linear Flexible Objects with Visual Curvature Feedback
• [cs.SI]Bitcoin Transaction Forecasting with Deep Network Representation Learning
• [cs.SI]On Predicting Personal Values of Social Media Users using Community-Specific Language Features and Personal Value Correlation
• [cs.SI]Political audience diversity and news reliability in algorithmic ranking
• [cs.SI]Wikipedia’s Network Bias on Controversial Topics
• [eess.AS]Audio Tagging by Cross Filtering Noisy Labels
• [eess.AS]Translate Reverberated Speech to Anechoic Ones: Speech Dereverberation with BERT
• [eess.IV]An Efficient Mixture of Deep and Machine Learning Models for COVID-19 and Tuberculosis Detection Using X-Ray Images in Resource Limited Settings
• [eess.IV]DeepInit Phase Retrieval
• [eess.IV]Self-Supervised Nuclei Segmentation in Histopathological Images Using Attention
• [eess.IV]U-Net Based Architecture for an Improved Multiresolution Segmentation in Medical Images
• [eess.SP]Channel Estimation for RIS-Aided mmWave MIMO Systems via Atomic Norm Minimization
• [eess.SP]Radiation pattern prediction for Metasurfaces: A Neural Network based approach
• [eess.SP]eSampling: Energy Harvesting ADCs
• [math.PR]Non-parametric estimation of Stochastic Differential Equations from stationary time-series
• [math.ST]Open-end nonparametric sequential change-point detection based on the retrospective CUSUM statistic
• [math.ST]Surface and length estimation based on Crofton’s formula
• [physics.soc-ph]An Investigation of Containment Measures Against the COVID-19 Pandemic in Mainland China
• [physics.soc-ph]On the degree of synchronization between air transport connectivity and COVID-19 cases at worldwide level
• [q-bio.PE]Incorporating compositional heterogeneity into Lie Markov models for phylogenetic inference
• [q-bio.QM]Clinical connectivity map for drug repurposing: using laboratory tests to bridge drugs and diseases
• [q-bio.QM]Predicting Mechanical Ventilation Requirement and Mortality in COVID-19 using Radiomics and Deep Learning on Chest Radiographs: A Multi-Institutional Study
• [quant-ph]Generalized Perfect Codes for Symmetric Classical-Quantum Channels
• [stat.AP]Do-search — a tool for causal inference and study design with multiple data sources
• [stat.AP]Heterogeneity Learning for SIRS model: an Application to the COVID-19
• [stat.AP]Prediction of the Subjective Impression of Passenger Car Roll Dynamics on the Driver Based on Frequency-Domain Characteristic Values
• [stat.AP]The role of collider bias in understanding statistics on racially biased policing
• [stat.ME]A likelihood-based approach for multivariate categorical response regression in high dimensions
• [stat.ME]A simple correction for covid-19 testing bias
• [stat.ME]On weakly informative prior distributions for the heterogeneity parameter in Bayesian random-effects meta-analysis
• [stat.ME]Principled Selection of Baseline Covariates to Account for Censoring in Randomized Trials with a Survival Endpoint
• [stat.ME]Selective Inference for Additive and Linear Mixed Models
• [stat.ME]Spectral Simulation of Functional Time Series
• [stat.ML]Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows
• [stat.ML]Optimal Robust Linear Regression in Nearly Linear Time
• [stat.ML]Relative Feature Importance
• [stat.ML]Sparsity-Agnostic Lasso Bandit
• [stat.ML]Understanding Implicit Regularization in Over-Parameterized Nonlinear Statistical Model
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• [c
86
s.CV]Human Pose Estimation on Privacy-Preserving Low-Resolution Depth Images
Vinkle Srivastav, Afshin Gangi, Nicolas Padoy
http://arxiv.org/abs/2007.08340v1
• [cond-mat.stat-mech]Network navigation using Page Rank random walks
Emilio Aced Fuentes, Simone Santini
http://arxiv.org/abs/2007.07639v2
• [cs.AI]Deep Learning for Abstract Argumentation Semantics
Dennis Craandijk, Floris Bex
http://arxiv.org/abs/2007.07629v2
• [cs.AI]Dueling Deep Q Network for Highway Decision Making in Autonomous Vehicles: A Case Study
Teng Liu, Xingyu Mu, Xiaolin Tang, Bing Huang, Hong Wang, Dongpu Cao
http://arxiv.org/abs/2007.08343v1
• [cs.AI]Efficient State Abstraction using Object-centered Predicates for Manipulation Planning
Alejandro Agostini, Dongheui Lee
http://arxiv.org/abs/2007.08251v1
• [cs.AI]Specification mining and automated task planning for autonomous robots based on a graph-based spatial temporal logic
Zhiyu Liu, Meng Jiang, Hai Lin
http://arxiv.org/abs/2007.08451v1
• [cs.AI]Strengthening Deterministic Policies for POMDPs
Leonore Winterer, Ralf Wimmer, Nils Jansen, Bernd Becker
http://arxiv.org/abs/2007.08351v1
• [cs.CL]A Survey on Computational Propaganda Detection
Giovanni Da San Martino, Stefano Cresci, Alberto Barron-Cedeno, Seunghak Yu, Roberto Di Pietro, Preslav Nakov
http://arxiv.org/abs/2007.08024v1
• [cs.CL]Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word Segmentation
Ning Ding, Dingkun Long, Guangwei Xu, Muhua Zhu, Pengjun Xie, Xiaobin Wang, Hai-Tao Zheng
http://arxiv.org/abs/2007.08186v1
• [cs.CL]Hierarchical Interaction Networks with Rethinking Mechanism for Document-level Sentiment Analysis
Lingwei Wei, Dou Hu, Wei Zhou, Xuehai Tang, Xiaodan Zhang, Xin Wang, Jizhong Han, Songlin Hu
http://arxiv.org/abs/2007.08445v1
• [cs.CL]Investigating Pretrained Language Models for Graph-to-Text Generation
Leonardo F. R. Ribeiro, Martin Schmitt, Hinrich Schütze, Iryna Gurevych
http://arxiv.org/abs/2007.08426v1
• [cs.CL]LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning
Jian Liu, Leyang Cui, Hanmeng Liu, Dandan Huang, Yile Wang, Yue Zhang
http://arxiv.org/abs/2007.08124v1
• [cs.CL]Overview of CheckThat! 2020: Automatic Identification and Verification of Claims in Social Media
Alberto Barron-Cedeno, Tamer Elsayed, Preslav Nakov, Giovanni Da San Martino, Maram Hasanain, Reem Suwaileh, Fatima Haouari, Nikolay Babulkov, Bayan Hamdan, Alex Nikolov, Shaden Shaar, Zien Sheikh Ali
http://arxiv.org/abs/2007.07997v1
• [cs.CL]SLK-NER: Exploiting Second-order Lexicon Knowledge for Chinese NER
Dou Hu, Lingwei Wei
http://arxiv.org/abs/2007.08416v1
• [cs.CL]Towards Debiasing Sentence Representations
Paul Pu Liang, Irene Mengze Li, Emily Zheng, Yao Chong Lim, Ruslan Salakhutdinov, Louis-Philippe Morency
http://arxiv.org/abs/2007.08100v1
• [cs.CR]Black-Box Watermarking for Generative Adversarial Networks
Vladislav Skripniuk, Ning Yu, Sahar Abdelnabi, Mario Fritz
http://arxiv.org/abs/2007.08457v1
• [cs.CV]3D CNN-PCA: A Deep-Learning-Based Parameterization for Complex Geomodels
Yimin Liu, Louis J. Durlofsky
http://arxiv.org/abs/2007.08478v1
• [cs.CV]A Refined Deep Learning Architecture for Diabetic Foot Ulcers Detection
Manu Goyal, Saeed Hassanpour
http://arxiv.org/abs/2007.07922v1
• [cs.CV]A high fidelity synthetic face framework for computer vision
Tadas Baltrusaitis, Erroll Wood, Virginia Estellers, Charlie Hewitt, Sebastian Dziadzio, Marek Kowalski, Matthew Johnson, Thomas J. Cashman, Jamie Shotton
http://arxiv.org/abs/2007.08364v1
• [cs.CV]Accelerating 3D Deep Learning with PyTorch3D
Nikhila Ravi, Jeremy Reizenstein, David Novotny, Taylor Gordon, Wan-Yen Lo, Justin Johnson, Georgia Gkioxari
http://arxiv.org/abs/2007.08501v1
• [cs.CV]Active Visual Information Gathering for Vision-Language Navigation
Hanqing Wang, Wenguan Wang, Tianmin Shu, Wei Liang, Jianbing Shen
http://arxiv.org/abs/2007.08037v1
• [cs.CV]Appearance-Preserving 3D Convolution for Video-based Person Re-identification
Xinqian Gu, Hong Chang, Bingpeng Ma, Hongkai Zhang, Xilin Chen
http://arxiv.org/abs/2007.08434v1
• [cs.CV]Attention-Based Query Expansion Learning
Albert Gordo, Filip Radenovic, Tamara Berg
http://arxiv.org/abs/2007.08019v1
• [cs.CV]Autoregressive Unsupervised Image Segmentation
Yassine Ouali, Céline Hudelot, Myriam Tami
http://arxiv.org/abs/2007.08247v1
• [cs.CV]Boosting Weakly Supervised Object Detection with Progressive Knowledge Transfer
Yuanyi Zhong, Jianfeng Wang, Jian Peng, Lei Zhang
http://arxiv.org/abs/2007.07986v1
• [cs.CV]Challenge report:VIPriors Action Recognition Challenge
Zhipeng Luo, Dawei Xu, Zhiguang Zhang
http://arxiv.org/abs/2007.08180v1
• [cs.CV]ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning
Viktor Olsson, Wilhelm Tranheden, Juliano Pinto, Lennart Svensson
http://arxiv.org/abs/2007.07936v1
• [cs.CV]CloudCast: A Satellite-Based Dataset and Baseline for Forecasting Clouds
A. H. Nielsen, A. Iosifidis, H. Karstoft
http://arxiv.org/abs/2007.07978v1
• [cs.CV]Complete & Label: A Domain Adaptation Approach to Semantic Segmentation of LiDAR Point Clouds
Li Yi, Boqing Gong, Thomas Funkhouser
http://arxiv.org/abs/2007.08488v1
• [cs.CV]Comprehensive Facial Expression Synthesis using Human-Interpretable Language
Joanna Hong, Jung Uk Kim, Sangmin Lee, Yong Man Ro
http://arxiv.org/abs/2007.08154v1
• [cs.CV]Controllable Image Synthesis via SegVAE
Yen-Chi Cheng, Hsin-Ying Lee, Min Sun, Ming-Hsuan Yang
http://arxiv.org/abs/2007.08397v1
• [cs.CV]D2D: Learning to find good correspondences for image matching and manipulation
Olivia Wiles, Sebastien Ehrhardt, Andrew Zisserman
http://arxiv.org/abs/2007.08480v1
• [cs.CV]Defocus Blur Detection via Depth Distillation
Xiaodong Cun, Chi-Man Pun
http://arxiv.org/abs/2007.08113v1
• [cs.CV]Do Adversarially Robust ImageNet Models Transfer Better?
Hadi Salman, Andrew Ilyas, Logan Engstrom, Ashish Kapoor, Aleksander Madry
http://arxiv.org/abs/2007.08489v1
• [cs.CV]Efficient Full Image Interactive Segmentation by Leveraging Within-image Appearance Similarity
Mykhaylo Andriluka, Stefano Pellegrini, Stefan Popov, Vittorio Ferrari
http://arxiv.org/abs/2007.08173v1
• [cs.CV]EfficientHRNet: Efficient Scaling for Lightweight High-Resolution Multi-Person Pose Estimation
Christopher Neff, Aneri Sheth, Steven Furgurson, Hamed Tabkhi
http://arxiv.org/abs/2007.08090v1
• [cs.CV]Enhanced detection of fetal pose in 3D MRI by Deep Reinforcement Learning with physical structure priors on anatomy
Molin Zhang, Junshen Xu, Esra Abaci Turk, P. Ellen Grant, Polina Golland, Elfar Adalsteinsson
http://arxiv.org/abs/2007.08146v1
• [cs.CV]Event Enhanced High-Quality Image Recovery
Bishan Wang, Jingwei He, Lei Yu, Gui-Song Xia, Wen Yang
http://arxiv.org/abs/2007.08336v1
• [cs.CV]Explaining Deep Neural Networks using Unsupervised Clustering
Yu-han Liu, Sercan O. Arik
http://arxiv.org/abs/2007.07477v2
• [cs.CV]FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning
Chia-Wen Kuo, Chih-Yao Ma, Jia-Bin Huang, Zsolt Kira
http://arxiv.org/abs/2007.08505v1
• [cs.CV]Filter Style Transfer between Photos
Jonghwa Yim, Jisung Yoo, Won-joon Do, Beomsu Kim, Jihwan Choe
http://arxiv.org/abs/2007.07925v1
• [cs.CV]Image De-Quantization Using Generative Models as Priors
Kalliopi Basioti, George V. Moustakides
http://arxiv.org/abs/2007.07923v1
• [cs.CV]Implicit Mesh Reconstruction from Unannotated Image Collections
Shubham Tulsiani, Nilesh Kulkarni, Abhinav Gupta
http://arxiv.org/abs/2007.08504v1
• [cs.CV]Interactive Video Object Segmentation Using Global and Local Transfer Modules
Yuk Heo, Yeong Jun Koh, Chang-Su Kim
http://arxiv.org/abs/2007.08139v1
• [cs.CV]Kernelized Memory Network for Video Object Segmentation
Hongje Seong, Junhyuk Hyun, Euntai Kim
http://arxiv.org/abs/2007.08270v1
• [cs.CV]Kronecker Attention Networks
Hongyang Gao, Zhengyang Wang, Shuiwang Ji
http://arxiv.org/abs/2007.08442v1
• [cs.CV]Layer-Wise Adaptive Updating for Few-Shot Image Classification
Yunxiao Qin, Weiguo Zhang, Zezheng Wang, Chenxu Zhao, Jingping Shi
http://arxiv.org/abs/2007.08129v1
• [cs.CV]Learning End-to-End Action Interaction by Paired-Embedding Data Augmentation
Ziyang Song, Zejian Yuan, Chong Zhang, Wanchao Chi, Yonggen Ling, Shenghao Zhang
http://arxiv.org/abs/2007.08071v1
• [cs.CV]Learning to Restore a Single Face Image Degraded by Atmospheric Turbulence using CNNs
Rajeev Yasarla, Vishal M Patel
http://arxiv.org/abs/2007.08404v1
• [cs.CV]Multi-Task Pruning for Semantic Segmentation Networks
Xinghao Chen, Yunhe Wang, Yiman Zhang, Peng Du, Chunjing Xu, Chang Xu
http://arxiv.org/abs/2007.08386v1
• [cs.CV]Negative Pseudo Labeling using Class Proportion for Semantic Segmentation in Pathology
Hiroki Tokunaga, Brian Kenji Iwana, Yuki Teramoto, Akihiko Yoshizawa, Ryoma Bise
http://arxiv.org/abs/2007.08044v1
• [cs.CV]Neuro-Endo-Trainer-Online Assessment System (NET-OAS) for Neuro-Endoscopic Skills Training
Vinkle Srivastav, Britty Baby, Ramandeep Singh, Prem Kalra, Ashish Suri
http://arxiv.org/abs/2007.08378v1
• [cs.CV]Odyssey: Creation, Analysis and Detection of Trojan Models
Marzieh Edraki, Nazmul Karim, Nazanin Rahnavard, Ajmal Mian, Mubarak Shah
http://arxiv.org/abs/2007.08142v1
• [cs.CV]On the Capability of Neural Networks to Generalize to Unseen Category-Pose Combinations
Spandan Madan, Timothy Henry, Jamell Dozier, Helen Ho, Nishchal Bhandari, Tomotake Sasaki, Frédo Durand, Hanspeter Pfister, Xavier Boix
http://arxiv.org/abs/2007.08032v1
• [cs.CV]PerMO: Perceiving More at Once from a Single Image for Autonomous Driving
Feixiang Lu, Zongdai Liu, Xibin Song, Dingfu Zhou, Wei Li, Hui Miao, Miao Liao, Liangjun Zhang, Bin Zhou, Ruigang Yang, Dinesh Manocha
http://arxiv.org/abs/2007.08116v1
• [cs.CV]Probabilistic Anchor Assignment with IoU Prediction for Object Detection
Kang Kim, Hee Seok Lee
http://arxiv.org/abs/2007.08103v1
• [cs.CV]RepPoints V2: Verification Meets Regression for Object Detection
Yihong Chen, Zheng Zhang, Yue Cao, Liwei Wang, Stephen Lin, Han Hu
http://arxiv.org/abs/2007.08508v1
• [cs.CV]RetrieveGAN: Image Synthesis via Differentiable Patch Retrieval
Hung-Yu Tseng, Hsin-Ying Lee, Lu Jiang, Ming-Hsuan Yang, Weilong Yang
http://arxiv.org/abs/2007.08513v1
• [cs.CV]SAILenv: Learning in Virtual Visual Environments Made Simple
Enrico Meloni, Luca Pasqualini, Matteo Tiezzi, Marco Gori, Stefano Melacci
http://arxiv.org/abs/2007.08224v1
• [cs.CV]SSN: Soft Shadow Network for Image Compositing
Yichen Sheng, Jianming Zhang, Bedrich Benes
http://arxiv.org/abs/2007.08211v1
• [cs.CV]Self-supervision on Unlabelled OR Data for Multi-person 2D/3D Human Pose Estimation
Vinkle Srivastav, Afshin Gangi, Nicolas Padoy
http://arxiv.org/abs/2007.08354v1
• [cs.CV]Semi-Siamese Training for Shallow Face Learning
Hang Du, Hailin Shi, Yuchi Liu, Jun Wang, Zhen Lei, Dan Zeng, Tao Mei
http://arxiv.org/abs/2007.08398v1
• [cs.CV]Separating Sounds from a Single Image
Lingyu Zhu, Esa Rahtu
http://arxiv.org/abs/2007.07984v1
• [cs.CV]Shape Prior Deformation for Categorical 6D Object Pose and Size Estimation
Meng Tian, Marcelo H Ang Jr, Gim Hee Lee
http://arxiv.org/abs/2007.08454v1
• [cs.CV]Suppress and Balance: A Simple Gated Network for Salient Object Detection
Xiaoqi Zhao, Youwei Pang, Lihe Zhang, Huchuan Lu, Lei Zhang
http://arxiv.org/abs/2007.08074v1
• [cs.CV]The Notary in the Haystack — Countering Class Imbalance in Document Processing with CNNs
Martin Leipert, Georg Vogeler, Mathias Seuret, Andreas Maier, Vincent Christlein
http://arxiv.org/abs/2007.07943v1
• [cs.CV]Towards Evaluating Driver Fatigue with Robust Deep Learning Models
Ken Alparslan, Yigit Alparslan, Matthew Burlick
http://arxiv.org/abs/2007.08453v1
• [cs.CV]Tracking Passengers and Baggage Items using Multi-camera Systems at Security Checkpoints
Abubakar Siddique, Henry Medeiros
http://arxiv.org/abs/2007.07924v1
• [cs.CV]Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters
Haoyu Liang, Zhihao Ouyang, Yuyuan Zeng, Hang Su, Zihao He, Shu-Tao Xia, Jun Zhu, Bo Zhang
http://arxiv.org/abs/2007.08194v1
• [cs.CV]TrashCan: A Semantically-Segmented Dataset towards Visual Detection of Marine Debris
Jungseok Hong, Michael Fulton, Junaed Sattar
http://arxiv.org/abs/2007.08097v1
• [cs.CV]Unseen Object Instance Segmentation for Robotic Environments
Christopher Xie, Yu Xiang, Arsalan Mousavian, Dieter Fox
http://arxiv.org/abs/2007.08073v1
• [cs.CV]VIPriors Object Detection Challenge
Zhipeng Luo, Lixuan Che
http://arxiv.org/abs/2007.08170v1
• [cs.CV]Vehicle Detection of Multi-source Remote Sensing Data Using Active Fine-tuning Network
Xin Wu, Wei Li, Danfeng Hong, Jiaojiao Tian, Ran Tao, Qian Du
http://arxiv.org/abs/2007.08494v1
• [cs.CV]Video-based Remote Physiological Measurement via Cross-verified Feature Disentangling
Xuesong Niu, Zitong Yu, Hu Han, Xiaobai Li, Shiguang Shan, Guoying Zhao
http://arxiv.org/abs/2007.08213v1
• [cs.CV]Weighing Counts: Sequential Crowd Counting by Reinforcement Learning
Liang Liu, Hao Lu, Hongwei Zou, Haipeng Xiong, Zhiguo Cao, Chunhua Shen
http://arxiv.org/abs/2007.08260v1
• [cs.CV]World-Consistent Video-to-Video Synthesis
Arun Mallya, Ting-Chun Wang, Karan Sapra, Ming-Yu Liu
http://arxiv.org/abs/2007.08509v1
• [cs.CV]openDD: A Large-Scale Roundabout Drone Dataset
Antonia Breuer, Jan-Aike Termöhlen, Silviu Homoceanu, Tim Fingscheidt
http://arxiv.org/abs/2007.08463v1
• [cs.CY]Challenges and Prospects of Negawatt Trading in Light of Recent Technological Developments
Wayes Tushar, Tapan K. Saha, Chau Yuen, Peta Ashworth, H. Vincent Poor, Subarna Basnet
http://arxiv.org/abs/2007.08331v1
• [cs.CY]Elicitation of SME Requirements for Cybersecurity Solutions by Studying Adherence to Recommendations
Alireza Shojaifar, Samuel A. Fricker, Martin Gwerder
http://arxiv.org/abs/2007.08177v1
• [cs.CY]Green Algorithms: Quantifying the carbon emissions of computation
Loïc Lannelongue, Jason Grealey, Michael Inouye
http://arxiv.org/abs/2007.07610v2
• [cs.CY]SMEs Confidentiality Issues and Adoption of Good Cybersecurity Practices
Alireza Shojaifar
http://arxiv.org/abs/2007.08201v1
• [cs.CY]Starting with data: advancing spatial data science by building and sharing high-quality datasets
Yingjie Hu
http://arxiv.org/abs/2007.08087v1
• [cs.CY]The Unpopularity of the Software Tester Role among Software Practitioners: A Case Study
Yadira Lizama, Daniel Varona, Pradeep Waychal, Luiz Fernando Capretz
http://arxiv.org/abs/2007.08375v1
• [cs.DC]Auto Adaptive Irregular OpenMP Loops
Joshua Dennis Booth
http://arxiv.org/abs/2007.07977v1
• [cs.DC]Computation Offloading in Beyond 5G Networks: A Distributed Learning Framework and Applications
Xianfu Chen, Celimuge Wu, Zhi Liu, Ning Zhang, Yusheng Ji
http://arxiv.org/abs/2007.08001v1
• [cs.DC]Fast Distributed Bandits for Online Recommendation Systems
Kanak Mahadik, Qingyun Wu, Shuai Li, Amit Sabne
http://arxiv.org/abs/2007.08061v1
• [cs.DC]Feasibility of Cross-Chain Payment with Success Guarantees
Rob van Glabbeek, Vincent Gramoli, Pierre Tholoniat
http://arxiv.org/abs/2007.08152v1
• [cs.DC]Gathering with a strong team in weakly Byzantine environments
Jion Hirose, Junya Nakamura, Fukuhito Ooshita, Michiko Inoue
http://arxiv.org/abs/2007.08217v1
• [cs.DC]HyperTune: Dynamic Hyperparameter Tuning For Efficient Distribution of DNN Training Over Heterogeneous Systems
Ali HeydariGorji, Siavash Rezaei, Mahdi Torabzadehkashi, Hossein Bobarshad, Vladimir Alves, Pai H. Chou
http://arxiv.org/abs/2007.08077v1
• [cs.DC]Local Certification of Graphs with Bounded Genus
Laurent Feuilloley, Pierre Fraigniaud, Pedro Montealegre, Ivan Rapaport, Éric Rémila, Ioan Todinca
http://arxiv.org/abs/2007.08084v1
• [cs.DC]Process, Systems and Tests: Three Layers in Concurrent Computation
Clément Aubert, Daniele Varacca
http://arxiv.org/abs/2007.08187v1
• [cs.DC]Trail: A Blockchain Architecture for Light Nodes
Ryunosuke Nagayama, Ryohei Banno, Kazuyuki Shudo
http://arxiv.org/abs/2007.08066v1
• [cs.DS]Improved Deterministic Network Decomposition
Mohsen Ghaffari, Christoph Grunau, Václav Rozhoň
http://arxiv.org/abs/2007.08253v1
• [cs.DS]Information Theoretic Limits of Cardinality Estimation: Fisher Meets Shannon
Seth Pettie, Dingyu Wang
http://arxiv.org/abs/2007.08051v1
• [cs.IR]Collaborative Adversarial Learning for RelationalLearning on Multiple Bipartite Graphs
Jingchao Su, Xu Chen, Ya Zhang, Siheng Chen, Dan Lv, Chenyang Li
http://arxiv.org/abs/2007.08308v1
• [cs.IR]Deep Reinforced Query Reformulation for Information Retrieval
Xiao Wang, Craig Macdonald, Iadh Ounis
http://arxiv.org/abs/2007.07987v1
• [cs.IR]Dual Graph Embedding for Object-Tag LinkPrediction on the Knowledge Graph
Chenyang Li, Xu Chen, Ya Zhang, Siheng Chen, Dan Lv, Yanfeng Wang
http://arxiv.org/abs/2007.08304v1
• [cs.IR]Fighting the COVID-19 Infodemic in Social Media: A Holistic Perspective and a Call to Arms
Firoj Alam, Fahim Dalvi, Shaden Shaar, Nadir Durrani, Hamdy Mubarak, Alex Nikolov, Giovanni Da San Martino, Ahmed Abdelali, Hassan Sajjad, Kareem Darwish, Preslav Nakov
http://arxiv.org/abs/2007.07996v1
• [cs.IT]A Product Channel Attack to Wireless Physical Layer Security
Gonzalo J. Anaya-Lopez, Gerardo Gomez, F. Javier Lopez-Martinez
http://arxiv.org/abs/2007.08162v1
• [cs.IT]A Reduced Complexity Ungerboeck Receiver for Quantized Wideband Massive SC-MIMO
Ali Bulut Üçüncü, Gökhan Muzaffer Güvensen, Ali Özgür Yılmaz
http://arxiv.org/abs/2007.08467v1
• [cs.IT]Area- Efficient VLSI Implementation of Serial-In Parallel-Out Multiplier Using Polynomial Representation in Finite Field GF(2m)
Saeideh Nabipour, Gholamreza Zare Fatin, Javad Javidan
http://arxiv.org/abs/2007.08284v1
• [cs.IT]Community aware group testing
Pavlos Nikolopoulos, Tao Guo, Christina Fragouli, Suhas Diggavi
http://arxiv.org/abs/2007.08111v1
• [cs.IT]Energy Harvesting in Unmanned Aerial Vehicle Networks with 3D Antenna Radiation Patterns
Esma Turgut, M. Cenk Gursoy, Ismail Guvenc
http://arxiv.org/abs/2007.08108v1
• [cs.IT]Performance analysis of a distributed algorithm for admission control in wireless networks under the $2$-hop interference model
Ashwin Ganesan
http://arxiv.org/abs/2007.07921v1
• [cs.IT]Resource Allocation in Uplink NOMA-IoT Networks: A Reinforcement-Learning Approach
Waleed Ahsan, Wenqiang Yi, Zhijin Qin, Yuanwei Liu, Arumugam Nallanathan
http://arxiv.org/abs/2007.08350v1
• [cs.IT]Zero Correlation Zone Sequences With Flexible Block-Repetitive Spectral Constraints
Branislav M. Popovic, Peng Wang, Fredrik Berggren, Renaud-Alexandre Pitaval
http://arxiv.org/abs/2007.08341v1
• [cs.LG]A fast noise filtering algorithm for time series prediction using recurrent neural networks
Boris Rubinstein
http://arxiv.org/abs/2007.08063v1
• [cs.LG]Active Learning under Label Shift
Eric Zhao, Anqi Liu, Animashree Anandkumar, Yisong Yue
http://arxiv.org/abs/2007.08479v1
• [cs.LG]Amended Cross Entropy Cost: Framework For Explicit Diversity Encouragement
Ron Shoham, Haim Permuter
http://arxiv.org/abs/2007.08140v1
• [cs.LG]An Empirical Study on the Robustness of NAS based Architectures
Chaitanya Devaguptapu, Devansh Agarwal, Gaurav Mittal, Vineeth N Balasubramanian
http://arxiv.org/abs/2007.08428v1
• [cs.LG]CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances
Jihoon Tack, Sangwoo Mo, Jongheon Jeong, Jinwoo Shin
http://arxiv.org/abs/2007.08176v1
• [cs.LG]Combining Task Predictors via Enhancing Joint Predictability
Kwang In Kim, Christian Richardt, Hyung Jin Chang
http://arxiv.org/abs/2007.08012v1
• [cs.LG]Comparator-adaptive Convex Bandits
Dirk van der Hoeven, Ashok Cutkosky, Haipeng Luo
http://arxiv.org/abs/2007.08448v1
• [cs.LG]Compression strategies and space-conscious representations for deep neural networks
Giosuè Cataldo Marinò, Gregorio Ghidoli, Marco Frasca, Dario Malchiodi
http://arxiv.org/abs/2007.07967v1
• [cs.LG]Conformal Rule-Based Multi-label Classification
Eyke Hüllermeier, Johannes Fürnkranz, Eneldo Loza Mencia
http://arxiv.org/abs/2007.08145v1
• [cs.LG]Convexifying Sparse Interpolation with Infinitely Wide Neural Networks: An Atomic Norm Approach
Akshay Kumar, Jarvis Haupt
http://arxiv.org/abs/2007.08009v1
• [cs.LG]DRIFT: Deep Reinforcement Learning for Functional Software Testing
Luke Harries, Rebekah Storan Clarke, Timothy Chapman, Swamy V. P. L. N. Nallamalli, Levent Ozgur, Shuktika Jain, Alex Leung, Steve Lim, Aaron Dietrich, José Miguel Hernández-Lobato, Tom Ellis, Cheng Zhang, Kamil Ciosek
http://arxiv.org/abs/2007.08220v1
• [cs.LG]Data Poisoning Attacks Against Federated Learning Systems
Vale Tolpegin, Stacey Truex, Mehmet Emre Gursoy, Ling Liu
http://arxiv.org/abs/2007.08432v1
• [cs.LG]Data-driven effective model shows a liquid-like deep learning
Wenxuan Zou, Haiping Huang
http://arxiv.org/abs/2007.08093v1
• [cs.LG]Detecting Out-of-distribution Samples via Variational Auto-encoder with Reliable Uncertainty Estimation
Xuming Ran, Mingkun Xu, Lingrui Mei, Qi Xu, Quanying Liu
http://arxiv.org/abs/2007.08128v1
• [cs.LG]Differential Replication in Machine Learning
Irene Unceta, Jordi Nin, Oriol Pujol
http://arxiv.org/abs/2007.07981v1
• [cs.LG]Evaluating and Validating Cluster Results
Anupriya Vysala, Dr. Joseph Gomes
http://arxiv.org/abs/2007.08034v1
• [cs.LG]GRADE: Graph Dynamic Embedding
Simeon Spasov, Alessandro Di Stefano, Pietro Lio, Jian Tang
http://arxiv.org/abs/2007.08060v1
• [cs.LG]Graph topology inference benchmarks for machine learning
Carlos Lassance, Vincent Gripon, Gonzalo Mateos
http://arxiv.org/abs/2007.08216v1
• [cs.LG]GraphCL: Contrastive Self-Supervised Learning of Graph Representations
Hakim Hafidi, Mounir Ghogho, Philippe Ciblat, Ananthram Swami
http://arxiv.org/abs/2007.08025v1
• [cs.LG]Inductive Link Prediction for Nodes Having Only Attribute Information
Yu Hao, Xin Cao, Yixiang Fang, Xike Xie, Sibo Wang
http://arxiv.org/abs/2007.08053v1
• [cs.LG]Learning from Noisy Labels with Deep Neural Networks: A Survey
Hwanjun Song, Minseok Kim, Dongmin Park, Jae-Gil Lee
http://arxiv.org/abs/2007.08199v1
• [cs.LG]Learning perturbation sets for robust machine learning
Eric Wong, J. Zico Kolter
http://arxiv.org/abs/2007.08450v1
• [cs.LG]Lottery Tickets in Linear Models: An Analysis of Iterative Magnitude Pruning
Bryn Elesedy, Varun Kanade, Yee Whye Teh
http://arxiv.org/abs/2007.08243v1
• [cs.LG]Memory Based Attentive Fusion
Darshana Priyasad, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes
http://arxiv.org/abs/2007.08076v1
• [cs.LG]Meta-Gradient Reinforcement Learning with an Objective Discovered Online
Zhongwen Xu, Hado van Hasselt, Matteo Hessel, Junhyuk Oh, Satinder Singh, David Silver
http://arxiv.org/abs/2007.08433v1
• [cs.LG]Mixture of Step Returns in Bootstrapped DQN
Po-Han Chiang, Hsuan-Kung Yang, Zhang-Wei Hong, Chun-Yi Lee
http://arxiv.org/abs/2007.08229v1
• [cs.LG]Multilayer Neuromodulated Architectures for Memory-Constrained Online Continual Learning
Sandeep Madireddy, Angel Yanguas-Gil, Prasanna Balaprakash
http://arxiv.org/abs/2007.08159v1
• [cs.LG]Natural Graph Networks
Pim de Haan, Taco Cohen, Max Welling
http://arxiv.org/abs/2007.08349v1
• [cs.LG]On Power Laws in Deep Ensembles
Ekaterina Lobacheva, Nadezhda Chirkova, Maxim Kodryan, Dmitry Vetrov
http://arxiv.org/abs/2007.08483v1
• [cs.LG]Overcomplete order-3 tensor decomposition, blind deconvolution and Gaussian mixture models
Haolin Chen, Luis Rademacher
http://arxiv.org/abs/2007.08133v1
• [cs.LG]PC-PG: Policy Cover Directed Exploration for Provable Policy Gradient Learning
Alekh Agarwal, Mikael Henaff, Sham Kakade, Wen Sun
http://arxiv.org/abs/2007.08459v1
• [cs.LG]Prediction of the onset of cardiovascular diseases from electronic health records using multi-task gated recurrent units
Fernando Andreotti, Frank S. Heldt, Basel Abu-Jamous, Ming Li, Avelino Javer, Oliver Carr, Stojan Jovanovic, Nadezda Lipunova, Benjamin Irving, Rabia T. Khan, Robert Dürichen
http://arxiv.org/abs/2007.08491v1
• [cs.LG]Provable Worst Case Guarantees for the Detection of Out-of-Distribution Data
Julian Bitterwolf, Alexander Meinke, Matthias Hein
http://arxiv.org/abs/2007.08473v1
• [cs.LG]Provably Good Batch Reinforcement Learning Without Great Exploration
Yao Liu, Adith Swaminathan, Alekh Agarwal, Emma Brunskill
http://arxiv.org/abs/2007.08202v1
• [cs.LG]Radial basis function kernel optimization for Support Vector Machine classifiers
Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Miguel A. Molina-Cabello, Kayvan Najarian
http://arxiv.org/abs/2007.08233v1
• [cs.LG]Random Forest for Dissimilarity-based Multi-view Learning
Simon Bernard, Hongliu Cao, Robert Sabourin, Laurent Heutte
http://arxiv.org/abs/2007.08377v1
• [cs.LG]Revisiting Data Complexity Metrics Based on Morphology for Overlap and Imbalance: Snapshot, New Overlap Number of Balls Metrics and Singular Problems Prospect
José Daniel Pascual-Triana, David Charte, Marta Andrés Arroyo, Alberto Fernández, Francisco Herrera
http://arxiv.org/abs/2007.07935v1
• [cs.LG]Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs
Dasol Hwang, Jinyoung Park, Sunyoung Kwon, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J. Kim
http://arxiv.org/abs/2007.08294v1
• [cs.LG]Short-term forecasting of Amazon rainforest fires based on ensemble decomposition model
Ramon Gomes da Silva, Matheus Henrique Dal Molin Ribeiro, Viviana Cocco Mariani, Leandro dos Santos Coelho
http://arxiv.org/abs/2007.07979v1
• [cs.LG]SketchGraphs: A Large-Scale Dataset for Modeling Relational Geometry in Computer-Aided Design
Ari Seff, Yaniv Ovadia, Wenda Zhou, Ryan P. Adams
http://arxiv.org/abs/2007.08506v1
• [cs.LG]Synthesize, Execute and Debug: Learning to Repair for Neural Program Synthesis
Kavi Gupta, Peter Ebert Christensen, Xinyun Chen, Dawn Song
http://arxiv.org/abs/2007.08095v1
• [cs.LG]The Sparse Hausdorff Moment Problem, with Application to Topic Models
Spencer Gordon, Bijan Mazaheri, Leonard J. Schulman, Yuval Rabani
http://arxiv.org/abs/2007.08101v1
• [cs.LG]Transferable Calibration with Lower Bias and Variance in Domain Adaptation
Ximei Wang, Mingsheng Long, Jianmin Wang, Michael I. Jordan
http://arxiv.org/abs/2007.08259v1
• [cs.LG]Upper Counterfactual Confidence Bounds: a New Optimism Principle for Contextual Bandits
Yunbei Xu, Assaf Zeevi
http://arxiv.org/abs/2007.07876v2
• [cs.LG]Using LSTM and SARIMA Models to Forecast Cluster CPU Usage
Langston Nashold, Rayan Krishnan
http://arxiv.org/abs/2007.08092v1
• [cs.LO]Solving Random Parity Games in Polynomial Time
Richard Combes, Mikael Touati
http://arxiv.org/abs/2007.08387v1
• [cs.NE]A Genetic Algorithm for Obtaining Memory Constrained Near-Perfect Hashing
Dan Domnita, Ciprian Oprisa
http://arxiv.org/abs/2007.08311v1
• [cs.NE]Co-generation of game levels and game-playing agents
Aaron Dharna, Julian Togelius, L. B. Soros
http://arxiv.org/abs/2007.08497v1
• [cs.NE]The Univariate Marginal Distribution Algorithm Copes Well With Deception and Epistasis
Benjamin Doerr, Martin S. Krejca
http://arxiv.org/abs/2007.08277v1
• [cs.NI]Air Quality Control through Bike Sharing Fleets
Stefan Ciprian Voinea, Armir Bujari, Claudio Enrico Palazzi
http://arxiv.org/abs/2007.08305v1
• [cs.RO]A Receding Horizon Multi-Objective Planner for Autonomous Surface Vehicles in Urban Waterways
Tixiao Shan, Wei Wang, Brendan Englot, Carlo Ratti, Daniela Rus
http://arxiv.org/abs/2007.08362v1
• [cs.RO]Distributed Reinforcement Learning of Targeted Grasping with Active Vision for Mobile Manipulators
Yasuhiro Fujita, Kota Uenishi, Avinash Ummadisingu, Prabhat Nagarajan, Shimpei Masuda, Mario Ynocente Castro
http://arxiv.org/abs/2007.08082v1
• [cs.RO]Dynamics of Serial Manipulators using Dual Quaternion Algebra
Frederico F. A. Silva, Juan J. Quiroz-Omaña, Bruno V. Adorno
http://arxiv.org/abs/2007.08444v1
• [cs.RO]Improving rigid 3D calibration for robotic surgery
Andrea Roberti, Nicola Piccinelli, Daniele Meli, Riccardo Muradore, Paolo Fiorini
http://arxiv.org/abs/2007.08427v1
• [cs.RO]Model-Based Manipulation of Linear Flexible Objects with Visual Curvature Feedback
Peng Chang, Taskin Padir
http://arxiv.org/abs/2007.08083v1
• [cs.SI]Bitcoin Transaction Forecasting with Deep Network Representation Learning
Wenqi Wei, Qi Zhang, Ling Liu
http://arxiv.org/abs/2007.07993v1
• [cs.SI]On Predicting Personal Values of Social Media Users using Community-Specific Language Features and Personal Value Correlation
Amila Silva, Pei-Chi Lo, Ee-Peng Lim
http://arxiv.org/abs/2007.08107v1
• [cs.SI]Political audience diversity and news reliability in algorithmic ranking
Saumya Bhadani, Shun Yamaya, Alessandro Flammini, Filippo Menczer, Giovanni Luca Ciampaglia, Brendan Nyhan
http://arxiv.org/abs/2007.08078v1
• [cs.SI]Wikipedia’s Network Bias on Controversial Topics
Cristina Menghini, Aris Anagnostopoulos, Eli Upfal
http://arxiv.org/abs/2007.08197v1
• [eess.AS]Audio Tagging by Cross Filtering Noisy Labels
Boqing Zhu, Kele Xu, Qiuqiang Kong, Huaimin Wang, Yuxing Peng
http://arxiv.org/abs/2007.08165v1
• [eess.AS]Translate Reverberated Speech to Anechoic Ones: Speech Dereverberation with BERT
Yang Jiao
http://arxiv.org/abs/2007.08052v1
• [eess.IV]An Efficient Mixture of Deep and Machine Learning Models for COVID-19 and Tuberculosis Detection Using X-Ray Images in Resource Limited Settings
Ali H. Al-Timemy, Rami N. Khushaba, Zahraa M. Mosa, Javier Escudero
http://arxiv.org/abs/2007.08223v1
• [eess.IV]DeepInit Phase Retrieval
Martin Reiche, Peter Jung
http://arxiv.org/abs/2007.08214v1
• [eess.IV]Self-Supervised Nuclei Segmentation in Histopathological Images Using Attention
Mihir Sahasrabudhe, Stergios Christodoulidis, Roberto Salgado, Stefan Michiels, Sherene Loi, Fabrice André, Nikos Paragios, Maria Vakalopoulou
http://arxiv.org/abs/2007.08373v1
• [eess.IV]U-Net Based Architecture for an Improved Multiresolution Segmentation in Medical Images
Simindokht Jahangard, Mohammad Hossein Zangoei, Maysam Shahedi
http://arxiv.org/abs/2007.08238v1
• [eess.SP]Channel Estimation for RIS-Aided mmWave MIMO Systems via Atomic Norm Minimization
Jiguang He, Henk Wymeersch, Markku Juntti
http://arxiv.org/abs/2007.08158v1
• [eess.SP]Radiation pattern prediction for Metasurfaces: A Neural Network based approach
Hamidreza Taghvaee, Akshay Jain, Xavier Timoneda, Christos Liaskos, Sergi Abadal, Eduard Alarcón, Albert Cabellos-Aparicio
http://arxiv.org/abs/2007.08035v1
• [eess.SP]eSampling: Energy Harvesting ADCs
Neha Jain, Nir Shlezinger, Bhawna Tiwari, Yonina C. Eldar, Anubha Gupta, Vivek Ashok Bohara, Pydi Ganga Bahubalindruni
http://arxiv.org/abs/2007.08275v1
• [math.PR]Non-parametric estimation of Stochastic Differential Equations from stationary time-series
Xi Chen, Ilya Timofeyev
http://arxiv.org/abs/2007.08054v1
• [math.ST]Open-end nonparametric sequential change-point detection based on the retrospective CUSUM statistic
Mark Holmes, Ivan Kojadinovic
http://arxiv.org/abs/2007.08369v1
• [math.ST]Surface and length estimation based on Crofton’s formula
Catherine Aaron, Alejandro Cholaquidis, Ricardo Fraiman
http://arxiv.org/abs/2007.08484v1
• [physics.soc-ph]An Investigation of Containment Measures Against the COVID-19 Pandemic in Mainland China
Ji Liu, Xiakai Wang, Haoyi Xiong, Jizhou Huang, Siyu Huang, Haozhe An, Dejing Dou, Haifeng Wang
http://arxiv.org/abs/2007.08254v1
• [physics.soc-ph]On the degree of synchronization between air transport connectivity and COVID-19 cases at worldwide level
Xiaoqian Sun, Sebastian Wandelt, Anming Zhang
http://arxiv.org/abs/2007.08412v1
• [q-bio.PE]Incorporating compositional heterogeneity into Lie Markov models for phylogenetic inference
Naomi E. Hannaford, Sarah E. Heaps, Tom M. W. Nye, Tom A. Williams, T. Martin Embley
http://arxiv.org/abs/2007.08511v1
• [q-bio.QM]Clinical connectivity map for drug repurposing: using laboratory tests to bridge drugs and diseases
Qianlong Wen, Ruoqi Liu, Ping Zhang
http://arxiv.org/abs/2007.07886v1
• [q-bio.QM]Predicting Mechanical Ventilation Requirement and Mortality in COVID-19 using Radiomics and Deep Learning on Chest Radiographs: A Multi-Institutional Study
Joseph Bae, Saarthak Kapse, Gagandeep Singh, Tej Phatak, Jeremy Green, Nikhil Madan, Prateek Prasanna
http://arxiv.org/abs/2007.08028v1
• [quant-ph]Generalized Perfect Codes for Symmetric Classical-Quantum Channels
Andreu Blasco Coll, Gonzalo Vazquez-Vilar, Javier R. Fonollosa
http://arxiv.org/abs/2007.07958v1
• [stat.AP]Do-search — a tool for causal inference and study design with multiple data sources
Juha Karvanen, Santtu Tikka, Antti Hyttinen
http://arxiv.org/abs/2007.08189v1
• [stat.AP]Heterogeneity Learning for SIRS model: an Application to the COVID-19
Guanyu Hu, Junxian Geng
http://arxiv.org/abs/2007.08047v1
• [stat.AP]Prediction of the Subjective Impression of Passenger Car Roll Dynamics on the Driver Based on Frequency-Domain Characteristic Values
Andreas Apfelbeck, Stefan Wegner, Roman Henze, Ferit Küçükay
http://arxiv.org/abs/2007.08209v1
• [stat.AP]The role of collider bias in understanding statistics on racially biased policing
Norman Fenton, Martin Neil, Steven Frazier
http://arxiv.org/abs/2007.08406v1
• [stat.ME]A likelihood-based approach for multivariate categorical response regression in high dimensions
Aaron J. Molstad, Adam J. Rothman
http://arxiv.org/abs/2007.07953v1
• [stat.ME]A simple correction for covid-19 testing bias
Daniel Andrés Díaz-Pachón, J Sunil Rao
http://arxiv.org/abs/2007.07426v2
• [stat.ME]On weakly informative prior distributions for the heterogeneity parameter in Bayesian random-effects meta-analysis
Christian Röver, Ralf Bender, Sofia Dias, Christopher H. Schmid, Heinz Schmidli, Sibylle Sturtz, Sebastian Weber, Tim Friede
http://arxiv.org/abs/2007.08352v1
• [stat.ME]Principled Selection of Baseline Covariates to Account for Censoring in Randomized Trials with a Survival Endpoint
Kelly Van Lancker, Oliver Dukes, Stijn Vansteelandt
http://arxiv.org/abs/2007.08190v1
• [stat.ME]Selective Inference for Additive and Linear Mixed Models
David Rügamer, Philipp F. M. Baumann, Sonja Greven
http://arxiv.org/abs/2007.07930v1
• [stat.ME]Spectral Simulation of Functional Time Series
Tomáš Rubín, Victor M. Panaretos
http://arxiv.org/abs/2007.08458v1
• [stat.ML]Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows
Ali Siahkoohi, Gabrio Rizzuti, Philipp A. Witte, Felix J. Herrmann
http://arxiv.org/abs/2007.07985v1
• [stat.ML]Optimal Robust Linear Regression in Nearly Linear Time
Yeshwanth Cherapanamjeri, Efe Aras, Nilesh Tripuraneni, Michael I. Jordan, Nicolas Flammarion, Peter L. Bartlett
http://arxiv.org/abs/2007.08137v1
• [stat.ML]Relative Feature Importance
Gunnar König, Christoph Molnar, Bernd Bischl, Moritz Grosse-Wentrup
http://arxiv.org/abs/2007.08283v1
• [stat.ML]Sparsity-Agnostic Lasso Bandit
Min-hwan Oh, Garud Iyengar, Assaf Zeevi
http://arxiv.org/abs/2007.08477v1
• [stat.ML]Understanding Implicit Regularization in Over-Parameterized Nonlinear Statistical Model
Jianqing Fan, Zhuoran Yang, Mengxin Yu
http://arxiv.org/abs/2007.08322v1