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