astro-ph.HE - 高能天体物理现象

    cs.AI - 人工智能 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.GT - 计算机科学与博弈论 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 econ.TH - 理论经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 hep-lat - 高能物理晶格 math.AP - 偏微分方程分析 math.DS - 动力系统 math.OC - 优化与控制 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-fin.RM - 风险管理 q-fin.ST - 统计金融学 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.HE]Gravitational-wave selection effects using neural-network classifiers
    • [cs.AI]A Normative approach to Attest Digital Discrimination
    • [cs.AI]A model to support collective reasoning: Formalization, analysis and computational assessment
    • [cs.AI]Conditional Independences and Causal Relations implied by Sets of Equations
    • [cs.AI]Learning Reasoning Strategies in End-to-End Differentiable Proving
    • [cs.AI]Tabletop Roleplaying Games as Procedural Content Generators
    • [cs.CL]An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models
    • [cs.CL]COVID-19 Twitter Dataset with Latent Topics, Sentiments and Emotions Attributes
    • [cs.CL]Calling Out Bluff: Attacking the Robustness of Automatic Scoring Systems with Simple Adversarial Testing
    • [cs.CL]Can neural networks acquire a structural bias from raw linguistic data?
    • [cs.CL]Contextualized Code Representation Learning for Commit Message Generation
    • [cs.CL]Investigation of Sentiment Controllable Chatbot
    • [cs.CL]Language, communication and society: a gender based linguistics analysis
    • [cs.CL]Modeling Voting for System Combination in Machine Translation
    • [cs.CL]Our Evaluation Metric Needs an Update to Encourage Generalization
    • [cs.CL]Questionnaire analysis to define the most suitable survey for port-noise investigation
    • [cs.CL]What’s in a Name? Are BERT Named Entity Representations just as Good for any other Name?
    • [cs.CR]Adversarial Examples and Metrics
    • [cs.CR]Machine Learning for Offensive Security: Sandbox Classification Using Decision Trees and Artificial Neural Networks
    • [cs.CR]Security and Machine Learning in the Real World
    • [cs.CR]The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker Identification Systems
    • [cs.CV]360$^\circ$ Depth Estimation from Multiple Fisheye Images with Origami Crown Representation of Icosahedron
    • [cs.CV]A Comparative Study on Polyp Classification using Convolutional Neural Networks
    • [cs.CV]A Graph-based Interactive Reasoning for Human-Object Interaction Detection
    • [cs.CV]A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection
    • [cs.CV]A new approach to descriptors generation for image retrieval by analyzing activations of deep neural network layers
    • [cs.CV]AQD: Towards Accurate Quantized Object Detection
    • [cs.CV]AUTO3D: Novel view synthesis through unsupervisely learned variational viewpoint and global 3D representation
    • [cs.CV]Adversarial Background-Aware Loss for Weakly-supervised Temporal Activity Localization
    • [cs.CV]Alleviating Over-segmentation Errors by Detecting Action Boundaries
    • [cs.CV]An Uncertainty-based Human-in-the-loop System for Industrial Tool Wear Analysis
    • [cs.CV]BUNET: Blind Medical Image Segmentation Based on Secure UNET
    • [cs.CV]CenterNet3D:An Anchor free Object Detector for Autonomous Driving
    • [cs.CV]Closed-Form Factorization of Latent Semantics in GANs
    • [cs.CV]Compare and Reweight: Distinctive Image Captioning Using Similar Images Sets
    • [cs.CV]Correlation filter tracking with adaptive proposal selection for accurate scale estimation
    • [cs.CV]DETCID: Detection of Elongated Touching Cells with Inhomogeneous Illumination using a Deep Adversarial Network
    • [cs.CV]Deep Heterogeneous Autoencoder for Subspace Clustering of Sequential Data
    • [cs.CV]DeepMSRF: A novel Deep Multimodal Speaker Recognition framework with Feature selection
    • [cs.CV]Dense Crowds Detection and Counting with a Lightweight Architecture
    • [cs.CV]Dual-Teacher: Integrating Intra-domain and Inter-domain Teachers for Annotation-efficient Cardiac Segmentation
    • [cs.CV]Face to Purchase: Predicting Consumer Choices with Structured Facial and Behavioral Traits Embedding
    • [cs.CV]Hierarchical Dynamic Filtering Network for RGB-D Salient Object Detection
    • [cs.CV]Improving Face Recognition by Clustering Unlabeled Faces in the Wild
    • [cs.CV]Improving Pixel Embedding Learning through Intermediate Distance Regression Supervision for Instance Segmentation
    • [cs.CV]JNR: Joint-based Neural Rig Representation for Compact 3D Face Modeling
    • [cs.CV]JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point Clouds
    • [cs.CV]Joint Layout Analysis, Character Detection and Recognition for Historical Document Digitization
    • [cs.CV]Knowledge Distillation for Multi-task Learning
    • [cs.CV]Learning Differential Diagnosis of Skin Conditions with Co-occurrence Supervision using Graph Convolutional Networks
    • [cs.CV]Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restoration
    • [cs.CV]MeDaS: An open-source platform as service to help break the walls between medicine and informatics
    • [cs.CV]MeTRAbs: Metric-Scale Truncation-Robust Heatmaps for Absolute 3D Human Pose Estimation
    • [cs.CV]Meta-rPPG: Remote Heart Rate Estimation Using a Transductive Meta-Learner
    • [cs.CV]Modeling Artistic Workflows for Image Generation and Editing
    • [cs.CV]Multiple Sound Sources Localization from Coarse to Fine
    • [cs.CV]Multitask Learning Strengthens Adversarial Robustness
    • [cs.CV]Multiview Detection with Feature Perspective Transformation
    • [cs.CV]P-KDGAN: Progressive Knowledge Distillation with GANs for One-class Novelty Detection
    • [cs.CV]Pasadena: Perceptually Aware and Stealthy Adversarial Denoise Attack
    • [cs.CV]Patch-wise Attack for Fooling Deep Neural Network
    • [cs.CV]Personalized Face Modeling for Improved Face Reconstruction and Motion Retargeting
    • [cs.CV]Pose2RGBD. Generating Depth and RGB images from absolute positions
    • [cs.CV]REPrune: Filter Pruning via Representative Election
    • [cs.CV]RGB-D Salient Object Detection with Cross-Modality Modulation and Selection
    • [cs.CV]Re-ranking for Writer Identification and Writer Retrieval
    • [cs.CV]Rethinking Image Inpainting via a Mutual Encoder-Decoder with Feature Equalizations
    • [cs.CV]Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance
    • [cs.CV]Semi-supervised Learning with a Teacher-student Network for Generalized Attribute Prediction
    • [cs.CV]Socially and Contextually Aware Human Motion and Pose Forecasting
    • [cs.CV]TCGM: An Information-Theoretic Framework for Semi-Supervised Multi-Modality Learning
    • [cs.CV]Temporal Self-Ensembling Teacher for Semi-Supervised Object Detection
    • [cs.CV]Top-Related Meta-Learning Method for Few-Shot Detection
    • [cs.CV]Topology-Change-Aware Volumetric Fusion for Dynamic Scene Reconstruction
    • [cs.CV]Towards Dense People Detection with Deep Learning and Depth images
    • [cs.CV]Towards Realistic 3D Embedding via View Alignment
    • [cs.CV]Towards causal benchmarking of bias in face analysis algorithms
    • [cs.CV]Transposer: Universal Texture Synthesis Using Feature Maps as Transposed Convolution Filter
    • [cs.CV]UDBNET: Unsupervised Document Binarization Network via Adversarial Game
    • [cs.CV]UnRectDepthNet: Self-Supervised Monocular Depth Estimation using a Generic Framework for Handling Common Camera Distortion Models
    • [cs.CV]Unsupervised Human 3D Pose Representation with Viewpoint and Pose Disentanglement
    • [cs.CV]Unsupervised Multi-Target Domain Adaptation Through Knowledge Distillation
    • [cs.CV]Vehicle Trajectory Prediction by Transfer Learning of Semi-Supervised Models
    • [cs.CV]Video Object Segmentation with Episodic Graph Memory Networks
    • [cs.CV]Visual Tracking by TridentAlign and Context Embedding
    • [cs.CV]Water level prediction from social media images with a multi-task ranking approach
    • [cs.CV]Wavelet-Based Dual-Branch Network for Image Demoireing
    • [cs.CY]Enterprise Architecture in Healthcare Systems: A systematic literature review
    • [cs.CY]Multi-Utility Market: Framework for a Blockchain Exchange Platform for Sustainable Development
    • [cs.CY]Public Goods From Private Data — An Efficacy and Justification Paradox for Digital Contact Tracing
    • [cs.CY]Senior Living Communities: Made Safer by AI
    • [cs.CY]The ASHRAE Great Energy Predictor III competition: Overview and results
    • [cs.CY]What If I Don’t Like Any Of The Choices? The Limits of Preference Elicitation for Participatory Algorithm Design
    • [cs.DC]Analyzing and Mitigating Data Stalls in DNN Training
    • [cs.DC]MPI Collectives for Multi-core Clusters: Optimized Performance of the Hybrid MPI+MPI Parallel Codes
    • [cs.GT]Fair Algorithms for Multi-Agent Multi-Armed Bandits
    • [cs.IR]A Framework for Capturing and Analyzing Unstructured and Semi-structured Data for a Knowledge Management System
    • [cs.IR]A supervised term-weighting technique for topic-based retrieval
    • [cs.IR]Deep Retrieval: An End-to-End Learnable Structure Model for Large-Scale Recommendations
    • [cs.IR]Nodule2vec: a 3D Deep Learning System for Pulmonary Nodule Retrieval Using Semantic Representation
    • [cs.IR]Recommender Systems for the Internet of Things: A Survey
    • [cs.IR]Template-Based Question Answering over Linked Geospatial Data
    • [cs.IT]Average Peak Age of Information Analysis for Wireless Powered Cooperative Networks
    • [cs.IT]Coding theory package for Macaulay2
    • [cs.IT]Cooperative Pilot Spoofing in MU-MIMO Systems
    • [cs.IT]Energy-Efficient Resource Management for Federated Edge Learning with CPU-GPU Heterogeneous Computing
    • [cs.IT]Joint Beamforming Design for IRS-Aided Communications with Channel Estimation Errors
    • [cs.IT]Joint Device Scheduling and Resource Allocation for Latency Constrained Wireless Federated Learning
    • [cs.IT]Orthogonal Sparse Superposition Codes
    • [cs.LG]A Machine Learning Approach to Assess Student Group Collaboration Using Individual Level Behavioral Cues
    • [cs.LG]A Systematic Survey on Deep Generative Models for Graph Generation
    • [cs.LG]ADSAGE: Anomaly Detection in Sequences of Attributed Graph Edges applied to insider threat detection at fine-grained level
    • [cs.LG]Abstract Universal Approximation for Neural Networks
    • [cs.LG]Additively Homomorphical Encryption based Deep Neural Network for Asymmetrically Collaborative Machine Learning
    • [cs.LG]Adversarial Attacks against Neural Networks in Audio Domain: Exploiting Principal Components
    • [cs.LG]An Interpretable Baseline for Time Series Classification Without Intensive Learning
    • [cs.LG]Attend And Discriminate: Beyond the State-of-the-Art for Human Activity Recognition using Wearable Sensors
    • [cs.LG]Attentive Graph Neural Networks for Few-Shot Learning
    • [cs.LG]Automated Synthetic-to-Real Generalization
    • [cs.LG]Black-Box Control for Linear Dynamical Systems
    • [cs.LG]Bounding The Number of Linear Regions in Local Area for Neural Networks with ReLU Activations
    • [cs.LG]Conditional Image Retrieval
    • [cs.LG]Deep Neural-Kernel Machines
    • [cs.LG]Extracting Structured Data from Physician-Patient Conversations By Predicting Noteworthy Utterances
    • [cs.LG]From Symmetry to Geometry: Tractable Nonconvex Problems
    • [cs.LG]Goal-Aware Prediction: Learning to Model What Matters
    • [cs.LG]Hands-on Bayesian Neural Networks — a Tutorial for Deep Learning Users
    • [cs.LG]Hard Label Black-box Adversarial Attacks in Low Query Budget Regimes
    • [cs.LG]Implicit Bias in Deep Linear Classification: Initialization Scale vs Training Accuracy
    • [cs.LG]Learning Choice Functions via Pareto-Embeddings
    • [cs.LG]Lessons Learned from the Training of GANs on Artificial Datasets
    • [cs.LG]Lifelong Learning using Eigentasks: Task Separation, Skill Acquisition, and Selective Transfer
    • [cs.LG]Lifelong Policy Gradient Learning of Factored Policies for
    689
    Faster Training Without Forgetting
    • [cs.LG]Lossless Compression of Structured Convolutional Models via Lifting
    • [cs.LG]Momentum-Based Policy Gradient Methods
    • [cs.LG]Multi-Task Reinforcement Learning as a Hidden-Parameter Block MDP
    • [cs.LG]Node Copying for Protection Against Graph Neural Network Topology Attacks
    • [cs.LG]Plateau Phenomenon in Gradient Descent Training of ReLU networks: Explanation, Quantification and Avoidance
    • [cs.LG]Predicting Sequences of Traversed Nodes in Graphs using Network Models with Multiple Higher Orders
    • [cs.LG]Privacy Amplification via Random Check-Ins
    • [cs.LG]Programming by Rewards
    • [cs.LG]Regularized linear autoencoders recover the principal components, eventually
    • [cs.LG]Representation Transfer by Optimal Transport
    • [cs.LG]Revisiting Fundamentals of Experience Replay
    • [cs.LG]Robust Identifiability in Linear Structural Equation Models of Causal Inference
    • [cs.LG]Robustifying Reinforcement Learning Agents via Action Space Adversarial Training
    • [cs.LG]Robustness to Spurious Correlations via Human Annotations
    • [cs.LG]Sequence-guided protein structure determination using graph convolutional and recurrent networks
    • [cs.LG]Single-partition adaptive Q-learning
    • [cs.LG]Spectrum-Guided Adversarial Disparity Learning
    • [cs.LG]T-Basis: a Compact Representation for Neural Networks
    • [cs.LG]Towards Credit-Fraud Detection via Sparsely Varying Gaussian Approximations
    • [cs.LG]Verification of ML Systems via Reparameterization
    • [cs.LG]WOR and $p$’s: Sketches for $\ell_p$-Sampling Without Replacement
    • [cs.MA]Urban Mobility Swarms: A Scalable Implementation
    • [cs.RO]A Humanoid Social Agent Embodying Physical Assistance Enhances Motor Training Experience
    • [cs.RO]A Motion Taxonomy for Manipulation Embedding
    • [cs.RO]Deployment and Evaluation of a Flexible Human-Robot Collaboration Model Based on AND/OR Graphs in a Manufacturing Environment
    • [cs.RO]Fast Lane-Level Intersection Estimation using Markov Chain Monte Carlo Sampling and B-Spline Refinement
    • [cs.RO]Steps Towards Best Practices For Robot Videos
    • [cs.SD]A Deep Learning Approach for Low-Latency Packet Loss Concealment of Audio Signals in Networked Music Performance Applications
    • [cs.SE]Gradient Descent over Metagrammars for Syntax-Guided Synthesis
    • [cs.SI]Data-driven modelling and characterisation of task completion sequences in online courses
    • [cs.SI]H-VGRAE: A Hierarchical Stochastic Spatial-Temporal Embedding Method for Robust Anomaly Detection in Dynamic Networks
    • [cs.SI]Power, Preferment, and Patronage: Catholic Bishops, Social Networks, and the Affair(s) of Ex-Cardinal McCarrick
    • [cs.SI]ReAD: A Regional Anomaly Detection Framework Based on Dynamic Partition
    • [econ.EM]A More Robust t-Test
    • [econ.TH]Polarization in networks
    • [eess.AS]Deep Transformer based Data Augmentation with Subword Units for Morphologically Rich Online ASR
    • [eess.AS]Sudo rm -rf: Efficient Networks for Universal Audio Source Separation
    • [eess.IV]Cross-Domain Medical Image Translation by Shared Latent Gaussian Mixture Model
    • [eess.IV]Inferring the 3D Standing Spine Posture from 2D Radiographs
    • [eess.IV]Landslide Segmentation with U-Net: Evaluating Different Sampling Methods and Patch Sizes
    • [eess.IV]MFRNet: A New CNN Architecture for Post-Processing and In-loop Filtering
    • [eess.IV]Symmetric Dilated Convolution for Surgical Gesture Recognition
    • [eess.SP]Efficient Power-Splitting and Resource Allocation for Cellular V2X Communications
    • [eess.SP]Inertial Sensing Meets Artificial Intelligence: Opportunity or Challenge?
    • [eess.SP]On the Effective Capacity of IRS assisted wireless communication
    • [eess.SP]Reinforcement Learning of Musculoskeletal Control from Functional Simulations
    • [eess.SP]SRDCNN: Strongly Regularized Deep Convolution Neural Network Architecture for Time-series Sensor Signal Classification Tasks
    • [eess.SP]Uncertainty Aware Deep Neural Network for Multistatic Localization with Application to Ultrasonic Structural Health Monitoring
    • [eess.SY]Fleet Sizing and Charger Allocation in Electric Vehicle Sharing Systems
    • [eess.SY]Learning hidden influences in large-scale dynamical social networks: A data-driven sparsity-based approach
    • [eess.SY]Multi-Objective Vehicle Rebalancing for Ridehailing System using a Reinforcement Learning Approach
    • [eess.SY]Ternary Policy Iteration Algorithm for Nonlinear Robust Control
    • [hep-lat]On Estimation of Thermodynamic Observables in Lattice Field Theories with Deep Generative Models
    • [math.AP]Lipschitz regularity of graph Laplacians on random data clouds
    • [math.DS]Dynamics of coordinate ascent variational inference: A case study in 2D Ising models
    • [math.OC]Combining Deep Learning and Optimization for Security-Constrained Optimal Power Flow
    • [math.OC]Follow the bisector: a simple method for multi-objective optimization
    • [math.OC]Global Convergence of Second-order Dynamics in Two-layer Neural Networks
    • [math.PR]Species tree estimation under joint modeling of coalescence and duplication: sample complexity of quartet methods
    • [math.ST]On the Current and Longest Head Run
    • [physics.soc-ph]Characterizing the spread of CoViD-19
    • [q-bio.PE]COVID-19 infectivity profile correction
    • [q-fin.RM]A comparative study of forecasting Corporate Credit Ratings using Neural Networks, Support Vector Machines, and Decision Trees
    • [q-fin.ST]Modeling Financial Time Series using LSTM with Trainable Initial Hidden States
    • [quant-ph]Quantum exploration algorithms for multi-armed bandits
    • [stat.AP]A Latent Mixture Model for Heterogeneous Causal Mechanisms in Mendelian Randomization
    • [stat.AP]A unified machine learning approach to time series forecasting applied to demand at emergency departments
    • [stat.AP]To BAN or not to BAN: Bayesian Attention Networks for Reliable Hate Speech Detection
    • [stat.AP]Use of Machine Learning and Artificial Intelligence to predict SARS-CoV-2 infection from Full Blood Counts in a population
    • [stat.ME]A Class of Conjugate Priors for Multinomial Probit Models which Includes the Multivariate Normal One
    • [stat.ME]A Unified Computational and Theoretical Framework for High-Dimensional Bayesian Additive Models
    • [stat.ME]A novel dowscaling procedure for compositional data in the Aitchison geometry with application to soil texture data
    • [stat.ME]Bridging preference-based instrumental variable studies and cluster-randomized encouragement experiments: study design, noncompliance, and average cluster effect ratio
    • [stat.ME]Causal Inference using Gaussian Processes with Structured Latent Confounders
    • [stat.ME]Mixture of linear experts model for censored data: A novel approach with scale-mixture of normal distributions
    • [stat.ME]Predicting feature imputability in the absence of ground truth
    • [stat.ML]A Decentralized Approach to Bayesian Learning
    • [stat.ML]Deep Composition of Tensor Trains using Squared Inverse Rosenblatt Transports
    • [stat.ML]Deep Learning for Quantile Regression: DeepQuantreg
    • [stat.ML]Early stopping and polynomial smoothing in regression with reproducing kernels
    • [stat.ML]Estimating Barycenters of Measures in High Dimensions
    • [stat.ML]Extendable and invertible manifold learning with geometry regularized autoencoders
    • [stat.ML]Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks
    • [stat.ML]Model-Agnostic Interpretable and Data-driven suRRogates suited for highly regulated industries
    • [stat.ML]Quantitative Propagation of Chaos for SGD in Wide Neural Networks

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

    • [astro-ph.HE]Gravitational-wave selection effects using neural-network classifiers
    Davide Gerosa, Geraint Pratten, Alberto Vecchio
    http://arxiv.org/abs/2007.06585v1

    • [cs.AI]A Normative approach to Attest Digital Discrimination
    Natalia Criado, Xavier Ferrer, Jose M. Such
    http://arxiv.org/abs/2007.07092v1

    • [cs.AI]A model to support collective reasoning: Formalization, analysis and computational assessment
    Jordi Ganzer, Natalia Criado, Maite Lopez-Sanchez, Simon Parsons, Juan A. Rodriguez-Aguilar
    http://arxiv.org/abs/2007.06850v1

    • [cs.AI]Conditional Independences and Causal Relations implied by Sets of Equations
    Tineke Blom, Mirthe M. van Diepen, Joris M. Mooij
    http://arxiv.org/abs/2007.07183v1

    • [cs.AI]Learning Reasoning Strategies in End-to-End Differentiable Proving
    Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp, Edward Grefenstette, Tim Rocktäschel
    http://arxiv.org/abs/2007.06477v2

    • [cs.AI]Tabletop Roleplaying Games as Procedural Content Generators
    Matthew Guzdial, Devi Acharya, Max Kreminski, Michael Cook, Mirjam Eladhari, Antonios Liapis, Anne Sullivan
    http://arxiv.org/abs/2007.06108v1

    • [cs.CL]An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models
    Lifu Tu, Garima Lalwani, Spandana Gella, He He
    http://arxiv.org/abs/2007.06778v1

    • [cs.CL]COVID-19 Twitter Dataset with Latent Topics, Sentiments and Emotions Attributes
    Raj Kumar Gupta, Ajay Vishwanath, Yinping Yang
    http://arxiv.org/abs/2007.06954v1

    • [cs.CL]Calling Out Bluff: Attacking the Robustness of Automatic Scoring Systems with Simple Adversarial Testing
    Yaman Kumar, Mehar Bhatia, Anubha Kabra, Jessy Junyi Li, Di Jin, Rajiv Ratn Shah
    http://arxiv.org/abs/2007.06796v1

    • [cs.CL]Can neural networks acquire a structural bias from raw linguistic data?
    Alex Warstadt, Samuel R. Bowman
    http://arxiv.org/abs/2007.06761v1

    • [cs.CL]Contextualized Code Representation Learning for Commit Message Generation
    Lun Yiu Nie, Cuiyun Gao, Zhicong Zhong, Wai Lam, Yang Liu, Zenglin Xu
    http://arxiv.org/abs/2007.06934v1

    • [cs.CL]Investigation of Sentiment Controllable Chatbot
    Hung-yi Lee, Cheng-Hao Ho, Chien-Fu Lin, Chiung-Chih Chang, Chih-Wei Lee, Yau-Shian Wang, Tsung-Yuan Hsu, Kuan-Yu Chen
    http://arxiv.org/abs/2007.07196v1

    • [cs.CL]Language, communication and society: a gender based linguistics analysis
    P. Cutugno, D. Chiarella, R. Lucentini, L. Marconi, G. Morgavi
    http://arxiv.org/abs/2007.06908v1

    • [cs.CL]Modeling Voting for System Combination in Machine Translation
    Xuancheng Huang, Jiacheng Zhang, Zhixing Tan, Derek F. Wong, Huanbo Luan, Jingfang Xu, Maosong Sun, Yang Liu
    http://arxiv.org/abs/2007.06943v1

    • [cs.CL]Our Evaluation Metric Needs an Update to Encourage Generalization
    Swaroop Mishra, Anjana Arunkumar, Chris Bryan, Chitta Baral
    http://arxiv.org/abs/2007.06898v1

    • [cs.CL]Questionnaire analysis to define the most suitable survey for port-noise investigation
    Andrea Cerniglia, Davide Chiarella, Paola Cutugno, Lucia Marconi, Anna Magrini, Gelsomina Di Feo, Melissa Ferretti
    http://arxiv.org/abs/2007.06915v1

    • [cs.CL]What’s in a Name? Are BERT Named Entity Representations just as Good for any other Name?
    Sriram Balasubramanian, Naman Jain, Gaurav Jindal, Abhijeet Awasthi, Sunita Sarawagi
    http://arxiv.org/abs/2007.06897v1

    • [cs.CR]Adversarial Examples and Metrics
    Nico Döttling, Kathrin Grosse, Michael Backes, Ian Molloy
    http://arxiv.org/abs/2007.06993v1

    • [cs.CR]Machine Learning for Offensive Security: Sandbox Classification Using Decision Trees and Artificial Neural Networks
    Will Pearce, Nick Landers, Nancy Fulda
    http://arxiv.org/abs/2007.06763v1

    • [cs.CR]Security and Machine Learning in the Real World
    Ivan Evtimov, Weidong Cui, Ece Kamar, Emre Kiciman, Tadayoshi Kohno, Jerry Li
    http://arxiv.org/abs/2007.07205v1

    • [cs.CR]The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker Identification Systems
    Hadi Abdullah, Kevin Warren, Vincent Bindschaedler, Nicolas Papernot, Patrick Traynor
    http://arxiv.org/abs/2007.06622v1

    • [cs.CV]360$^\circ$ Depth Estimation from Multiple Fisheye Images with Origami Crown Representation of Icosahedron
    Ren Komatsu, Hiromitsu Fujii, Yusuke Tamura, Atsushi Yamashita, Hajime Asama
    http://arxiv.org/abs/2007.06891v1

    • [cs.CV]A Comparative Study on Polyp Classification using Convolutional Neural Networks
    Krushi Patel, Kaidong Li, Ke Tao, Quan Wang, Ajay Bansal, Amit Rastogi, Guanghui Wang
    http://arxiv.org/abs/2007.06071v1

    • [cs.CV]A Graph-based Interactive Reasoning for Human-Object Interaction Detection
    Dongming Yang, Yuexian Zou
    http://arxiv.org/abs/2007.06925v1

    • [cs.CV]A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection
    Xiaoqi Zhao, Lihe Zhang, Youwei Pang, Huchuan Lu, Lei Zhang
    http://arxiv.org/abs/2007.06811v1

    • [cs.CV]A new approach to descriptors generation for image retrieval by analyzing activations of deep neural network layers
    Paweł Staszewski, Maciej Jaworski, Jinde Cao, Leszek Rutkowski
    http://arxiv.org/abs/2007.06624v1

    • [cs.CV]AQD: Towards Accurate Quantized Object Detection
    Jing Liu, Bohan Zhuang, Peng Chen, Mingkui Tan, Chunhua Shen
    http://arxiv.org/abs/2007.06919v1

    • [cs.CV]AUTO3D: Novel view synthesis through unsupervisely learned variational viewpoint and global 3D representation
    Xiaofeng Liu, Tong Che, Yiqun Lu, Chao Yang, Site Li, Jane You
    http://arxiv.org/abs/2007.06620v1

    • [cs.CV]Adversarial Background-Aware Loss for Weakly-supervised Temporal Activity Localization
    Kyle Min, Jason J. Corso
    http://arxiv.org/abs/2007.06643v1

    • [cs.CV]Alleviating Over-segmentation Errors by Detecting Action Boundaries
    Yuchi Ishikawa, Seito Kasai, Yoshimitsu Aoki, Hirokatsu Kataoka
    http://arxiv.org/abs/2007.06866v1

    • [cs.CV]An Uncertainty-based Human-in-the-loop System for Industrial Tool Wear Analysis
    Alexander Treiss, Jannis Walk, Niklas Kühl
    http://arxiv.org/abs/2007.07129v1

    • [cs.CV]BUNET: Blind Medical Image Segmentation Based on Secure UNET
    Song Bian, Xiaowei Xu, Weiwen Jiang, Yiyu Shi, Takashi Sato
    http://arxiv.org/abs/2007.06855v1

    • [cs.CV]CenterNet3D:An Anchor free Object Detector for Autonomous Driving
    Guojun Wang, Bin Tian, Yunfeng Ai, Tong Xu, Long Chen, Dongpu Cao
    http://arxiv.org/abs/2007.07214v1

    • [cs.CV]Closed-Form Factorization of Latent Semantics in GANs
    Yujun Shen, Bolei Zhou
    http://arxiv.org/abs/2007.06600v1

    • [cs.CV]Compare and Reweight: Distinctive Image Captioning Using Similar Images Sets
    Jiuniu Wang, Wenjia Xu, Qingzhong Wang, Antoni B. Chan
    http://arxiv.org/abs/2007.06877v1

    • [cs.CV]Correlation filter tracking with adaptive proposal selection for accurate scale estimation
    Luo Xiong, Yanjie Liang, Yan Yan, Hanzi Wang
    http://arxiv.org/abs/2007.07018v1

    • [cs.CV]DETCID: Detection of Elongated Touching Cells with Inhomogeneous Illumination using a Deep Adversarial Network
    Ali Memariani, Ioannis A. Kakadiaris
    http://arxiv.org/abs/2007.06716v1

    • [cs.CV]Deep Heterogeneous Autoencoder for Subspace Clustering of Sequential Data
    Abubakar Siddique, Reza Jalil Mozhdehi, Henry Medeiros
    http://arxiv.org/abs/2007.07175v1

    • [cs.CV]DeepMSRF: A novel Deep Multimodal Speaker Recognition framework with Feature selection
    Ehsan Asali, Farzan Shenavarmasouleh, Farid Ghareh Mohammadi, Prasanth Sengadu Suresh, Hamid R. Arabnia
    http://arxiv.org/abs/2007.06809v1

    • [cs.CV]Dense Crowds Detection and Counting with a Lightweight Architecture
    Javier Antonio Gonzalez-Trejo, Diego Alberto Mercado-Ravell
    http://arxiv.org/abs/2007.06630v1

    • [cs.CV]Dual-Teacher: Integrating Intra-domain and Inter-domain Teachers for Annotation-efficient Cardiac Segmentation
    Kang Li, Shujun Wang, Lequan Yu, Pheng-Ann Heng
    http://arxiv.org/abs/2007.06279v1

    • [cs.CV]Face to Purchase: Predicting Consumer Choices with Structured Facial and Behavioral Traits Embedding
    Zhe Liu, Xianzhi Wang, Lina Yao, Jake An, Lei Bai, Ee-Peng Lim
    http://arxiv.org/abs/2007.06842v1

    • [cs.CV]Hierarchical Dynamic Filtering Network for RGB-D Salient Object Detection
    Youwei Pang, Lihe Zhang, Xiaoqi Zhao, Huchuan Lu
    http://arxiv.org/abs/2007.06227v2

    • [cs.CV]Improving Face Recognition by Clustering Unlabeled Faces in the Wild
    Aruni RoyChowdhury, Xiang Yu, Kihyuk Sohn, Erik Learned-Miller, Manmohan Chandraker
    http://arxiv.org/abs/2007.06995v1

    • [cs.CV]Improving Pixel Embedding Learning through Intermediate Distance Regression Supervision for Instance Segmentation
    Yuli Wu, Long Chen, Dorit Merhof
    http://arxiv.org/abs/2007.06660v1

    • [cs.CV]JNR: Joint-based Neural Rig Representation for Compact 3D Face Modeling
    Noranart Vesdapunt, Mitch Rundle, HsiangTao Wu, Baoyuan Wang
    http://arxiv.org/abs/2007.06755v1

    • [cs.CV]JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point Clouds
    Zeyu Hu, Mingmin Zhen, Xuyang Bai, Hongbo Fu, Chiew-lan Tai
    http://arxiv.org/abs/2007.06888v1

    • [cs.CV]Joint Layout Analysis, Character Detection and Recognition for Historical Document Digitization
    Weihong Ma, Hesuo Zhang, Lianwen Jin, Sihang Wu, Jiapeng Wang, Yongpan Wang
    http://arxiv.org/abs/2007.06890v1

    • [cs.CV]Knowledge Distillation for Multi-task Learning
    Wei-Hong Li, Hakan Bilen
    http://arxiv.org/abs/2007.06889v1

    • [cs.CV]Learning Differential Diagnosis of Skin Conditions with Co-occurrence Supervision using Graph Convolutional Networks
    Junyan Wu, Hao Jiang, Xiaowei Ding, Anudeep Konda, Jin Han, Yang Zhang, Qian Li
    http://arxiv.org/abs/2007.06666v1

    • [cs.CV]Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restoration
    Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Zongwei Zhou, Michael B. Gotway, Jianming Liang
    http://arxiv.org/abs/2007.06959v1

    • [cs.CV]MeDaS: An open-source platform as service to help break the walls between medicine and informatics
    Liang Zhang, Johann Li, Ping Li, Xiaoyuan Lu, Peiyi Shen, Guangming Zhu, Syed Afaq Shah, Mohammed Bennarmoun, Kun Qian, Björn W. Schuller
    http://arxiv.org/abs/2007.06013v2

    • [cs.CV]MeTRAbs: Metric-Scale Truncation-Robust Heatmaps for Absolute 3D Human Pose Estimation
    István Sárándi, Timm Linder, Kai O. Arras, Bastian Leibe
    http://arxiv.org/abs/2007.07227v1

    • [cs.CV]Meta-rPPG: Remote Heart Rate Estimation Using a Transductive Meta-Learner
    Eugene Lee, Evan Chen, Chen-Yi Lee
    http://arxiv.org/abs/2007.06786v1

    • [cs.CV]Modeling Artistic Workflows for Image Generation and Editing
    Hung-Yu Tseng, Matthew Fisher, Jingwan Lu, Yijun Li, Vladimir Kim, Ming-Hsuan Yang
    http://arxiv.org/abs/2007.07238v1

    • [cs.CV]Multiple Sound Sources Localization from Coarse to Fine
    Rui Qian, Di Hu, Heinrich Dinkel, Mengyue Wu, Ning Xu, Weiyao Lin
    http://arxiv.org/abs/2007.06355v2

    • [cs.CV]Multitask Learning Strengthens Adversarial Robustness
    Chengzhi Mao, Amogh Gupta, Vikram Nitin, Baishakhi Ray, Shuran Song, Junfeng Yang, Carl Vondrick
    http://arxiv.org/abs/2007.07236v1

    • [cs.CV]Multiview Detection with Feature Perspective Transformation
    Yunzhong Hou, Liang Zheng, Stephen Gould
    http://arxiv.org/abs/2007.07247v1

    • [cs.CV]P-KDGAN: Progressive Knowledge Distillation with GANs for One-class Novelty Detection
    Zhiwei Zhang, Shifeng Chen, Lei Sun
    http://arxiv.org/abs/2007.06963v1

    • [cs.CV]Pasadena: Perceptually Aware and Stealthy Adversarial Denoise Attack
    Yupeng Cheng, Qing Guo, Felix Juefei-Xu, Xiaofei Xie, Shang-Wei Lin, Weisi Lin, Wei Feng, Yang Liu
    http://arxiv.org/abs/2007.07097v1

    • [cs.CV]Patch-wise Attack for Fooling Deep Neural Network
    Lianli Gao, Qilong Zhang, Jingkuan Song, Xianglong Liu, Heng Tao Shen
    http://arxiv.org/abs/2007.06765v1

    • [cs.CV]Personalized Face Modeling for Improved Face Reconstruction and Motion Retargeting
    Bindita Chaudhuri, Noranart Vesdapunt, Linda Shapiro, Baoyuan Wang
    http://arxiv.org/abs/2007.06759v1

    • [cs.CV]Pose2RGBD. Generating Depth and RGB images from absolute positions
    Mihai Cristian Pîrvu
    http://arxiv.org/abs/2007.07013v1

    • [cs.CV]REPrune: Filter Pruning via Representative Election
    Mincheol Park, Woojeong Kim, Suhyun Kim
    http://arxiv.org/abs/2007.06932v1

    • [cs.CV]RGB-D Salient Object Detection with Cross-Modality Modulation and Selection
    Chongyi Li, Runmin Cong, Yongri Piao, Qianqian Xu, Chen Change Loy
    http://arxiv.org/abs/2007.07051v1

    • [cs.CV]Re-ranking for Writer Identification and Writer Retrieval
    Simon Jordan, Mathias Seuret, Pavel Král, Ladislav Lenc, Jiří Martínek, Barbara Wiermann, Tobias Schwinger, Andreas Maier, Vincent Christlein
    http://arxiv.org/abs/2007.07101v1

    • [cs.CV]Rethinking Image Inpainting via a Mutual Encoder-Decoder with Feature Equalizations
    Hongyu Liu, Bin Jiang, Yibing Song, Wei Huang, Chao Yang
    http://arxiv.org/abs/2007.06929v1

    • [cs.CV]Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance
    Marvin Klingner, Jan-Aike Termöhlen, Jonas Mikolajczyk, Tim Fingscheidt
    http://arxiv.org/abs/2007.06936v1

    • [cs.CV]Semi-supervised Learning with a Teacher-student Network for Generalized Attribute Prediction
    Minchul Shin
    http://arxiv.org/abs/2007.06769v1

    • [cs.CV]Socially and Contextually Aware Human Motion and Pose Forecasting
    Vida Adeli, Ehsan Adeli, Ian Reid, Juan Carlos Niebles, Hamid Rezatofighi
    http://arxiv.org/abs/2007.06843v1

    • [cs.CV]TCGM: An Information-Theoretic Framework for Semi-Supervised Multi-Modality Learning
    Xinwei Sun, Yilun Xu, Peng Cao, Yuqing Kong, Lingjing Hu, Shanghang Zhang, Yizhou Wang
    http://arxiv.org/abs/2007.06793v1

    • [cs.CV]Temporal Self-Ensembling Teacher for Semi-Supervised Object Detection
    Cong Chen, Shouyang Dong, Ye Tian, Kunlin Cao, Li Liu, Yuanhao Guo
    http://arxiv.org/abs/2007.06144v2

    • [cs.CV]Top-Related Meta-Learning Method for Few-Shot Detection
    Qian Li, Nan Guo, Duo Wang, Xiaochun Ye
    http://arxiv.org/abs/2007.06837v1

    • [cs.CV]Topology-Change-Aware Volumetric Fusion for Dynamic Scene Reconstruction
    Chao Li, Xiaohu Guo
    http://arxiv.org/abs/2007.06853v1

    • [cs.CV]Towards Dense People Detection with Deep Learning and Depth images
    David Fuentes-Jimenez, Cristina Losada-Gutierrez, David Casillas-Perez, Javier Macias-Guarasa, Roberto Martin-Lopez, Daniel Pizarro, Carlos A. Luna
    http://arxiv.org/abs/2007.07171v1

    • [cs.CV]Towards Realistic 3D Embedding via View Alignment
    Fangneng Zhan, Shijian Lu, Changgong Zhang, Feiying Ma, Xuansong Xie
    http://arxiv.org/abs/2007.07066v1

    • [cs.CV]Towards causal benchmarking of bias in face analysis algorithms
    Guha Balakrishnan, Yuanjun Xiong, Wei Xia, Pietro Perona
    http://arxiv.org/abs/2007.06570v1

    • [cs.CV]Transposer: Universal Texture Synthesis Using Feature Maps as Transposed Convolution Filter
    Guilin Liu, Rohan Taori, Ting-Chun Wang, Zhiding Yu, Shiqiu Liu, Fitsum A. Reda, Karan Sapra, Andrew Tao, Bryan Catanzaro
    http://arxiv.org/abs/2007.07243v1

    • [cs.CV]UDBNET: Unsupervised Document Binarization Network via Adversarial Game
    Amandeep Kumar, Shuvozit Ghose, Pinaki Nath Chowdhury, Partha Pratim Roy, Umapada Pal
    http://arxiv.org/abs/2007.07075v1

    • [cs.CV]UnRectDepthNet: Self-Supervised Monocular Depth Estimation using a Generic Framework for Handling Common Camera Distortion Models
    Varun Ravi Kumar, Senthil Yogamani, Markus Bach, Christian Witt, Stefan Milz, Patrick Mader
    http://arxiv.org/abs/2007.06676v1

    • [cs.CV]Unsupervised Human 3D Pose Representation with Viewpoint and Pose Disentanglement
    Qiang Nie, Ziwei Liu, Yunhui Liu
    http://arxiv.org/abs/2007.07053v1

    • [cs.CV]Unsupervised Multi-Target Domain Adaptation Through Knowledge Distillation
    Le Thanh Nguyen-Meidine, Madhu Kiran, Jose Dolz, Eric Granger, Atif Bela, Louis-Antoine Blais-Morin
    http://arxiv.org/abs/2007.07077v1

    • [cs.CV]Vehicle Trajectory Prediction by Transfer Learning of Semi-Supervised Models
    Nick Lamm, Shashank Jaiprakash, Malavika Srikanth, Iddo Drori
    http://arxiv.org/abs/2007.06781v1

    • [cs.CV]Video Object Segmentation with Episodic Graph Memory Networks
    Xinkai Lu, Wenguan Wang, Martin Danelljan, Tianfei Zhou, Jianbing Shen, Luc Van Gool
    http://arxiv.org/abs/2007.07020v1

    • [cs.CV]Visual Tracking by TridentAlign and Context Embedding
    Janghoon Choi, Junseok Kwon, Kyoung Mu Lee
    http://arxiv.org/abs/2007.06887v1

    • [cs.CV]Water level prediction from social media images with a multi-task ranking approach
    P. Chaudhary, S. D’Aronco, J. P. Leitao, K. Schindler, J. D. Wegner
    http://arxiv.org/abs/2007.06749v1

    • [cs.CV]Wavelet-Based Dual-Branch Network for Image Demoireing
    Lin Liu, Jianzhuang Liu, Shanxin Yuan, Gregory Slabaugh, Ales Leonardis, Wengang Zhou, Qi Tian
    http://arxiv.org/abs/2007.07173v1

    • [cs.CY]Enterprise Architecture in Healthcare Systems: A systematic literature review
    Silvano Herculano da Luz Júnior, Francisco Ícaro Cipriano Silva, Gustavo Sousa Galisa Albuquerque, Francisco Petrônio Alencar de Medeiros, Heremita Brasileiro Lira
    http://arxiv.org/abs/2007.06767v1

    • [cs.CY]Multi-Utility Market: Framework for a Blockchain Exchange Platform for Sustainable Development
    Jacques Bou Abdo, Sherali Zeadally
    http://arxiv.org/abs/2007.07096v1

    • [cs.CY]Public Goods From Private Data — An Efficacy and Justification Paradox for Digital Contact Tracing
    Andrew Buzzell
    http://arxiv.org/abs/2007.07016v1

    • [cs.CY]Senior Living Communities: Made Safer by AI
    Ashutosh Saxena, David R Cheriton
    http://arxiv.org/abs/2007.05129v2

    • [cs.CY]The ASHRAE Great Energy Predictor III competition: Overview and results
    Clayton Miller, Pandarasamy Arjunan, Anjukan Kathirgamanathan, Chun Fu, Jonathan Roth, June Young Park, Chris Balbach, Krishnan Gowri, Zoltan Nagy, Anthony Fontanini, Jeff Haberl
    http://arxiv.org/abs/2007.06933v1

    • [cs.CY]What If I Don’t Like Any Of The Choices? The Limits of Preference Elicitation for Participatory Algorithm Design
    Samantha Robertson, Niloufar Salehi
    http://arxiv.org/abs/2007.06718v1

    • [cs.DC]Analyzing and Mitigating Data Stalls in DNN Training
    Jayashree Mohan, Amar Phanishayee, Ashish Raniwala, Vijay Chidambaram
    http://arxiv.org/abs/2007.06775v1

    • [cs.DC]MPI Collectives for Multi-core Clusters: Optimized Performance of the Hybrid MPI+MPI Parallel Codes
    Huan Zhou, Jose Gracia, Ralf Schneider
    http://arxiv.org/abs/2007.06892v1

    • [cs.GT]Fair Algorithms for Multi-Agent Multi-Armed Bandits
    Safwan Hossain, Evi Micha, Nisarg Shah
    http://arxiv.org/abs/2007.06699v1

    • [cs.IR]A Framework for Capturing and Analyzing Unstructured and Semi-structured Data for a Knowledge Management System
    Gerald Onwujekwe, Kweku-Muata Osei-Bryson, Nnatubemugo Ngwum
    http://arxiv.org/abs/2007.07102v1

    • [cs.IR]A supervised term-weighting technique for topic-based retrieval
    Mariano Maisonnave, Fernando Delbianco, Fernando Tohmé, Ana Maguitman
    http://arxiv.org/abs/2007.06616v1

    • [cs.IR]Deep Retrieval: An End-to-End Learnable Structure Model for Large-Scale Recommendations
    Weihao Gao, Xiangjun Fan, Jiankai Sun, Kai Jia, Wenzhi Xiao, Chong Wang, Xiaobing Liu
    http://arxiv.org/abs/2007.07203v1

    • [cs.IR]Nodule2vec: a 3D Deep Learning System for Pulmonary Nodule Retrieval Using Semantic Representation
    Ilia Kravets, Tal Heletz, Hayit Greenspan
    http://arxiv.org/abs/2007.07081v1

    • [cs.IR]Recommender Systems for the Internet of Things: A Survey
    May Altulyan, Lina Yao, Xianzhi Wang, Chaoran Huang, Salil S Kanhere, Quan Z Sheng
    http://arxiv.org/abs/2007.06758v1

    • [cs.IR]Template-Based Question Answering over Linked Geospatial Data
    Dharmen Punjani, Markos Iliakis, Theodoros Stefou, Kuldeep Singh, Andreas Both, Manolis Koubarakis, Iosif Angelidis, Konstantina Bereta, Themis Beris, Dimitris Bilidas, Theofilos Ioannidis, Nikolaos Karalis, Christoph Lange, Despina-Athanasia Pantazi, Christos Papaloukas, Georgios Stamoulis
    http://arxiv.org/abs/2007.07060v1

    • [cs.IT]Average Peak Age of Information Analysis for Wireless Powered Cooperative Networks
    Yasaman Khorsandmanesh, Mohammad Javad Emadi, Ioannis Krikidis
    http://arxiv.org/abs/2007.06598v1

    • [cs.IT]Coding theory package for Macaulay2
    Taylor Ball, Eduardo Camps, Henry Chimal-Dzul, Delio Jaramillo-Velez, Hiram H. López, Nathan Nichols, Matthew Perkins, Ivan Soprunov, German Vera-Martínez, Gwyn Whieldon
    http://arxiv.org/abs/2007.06795v1

    • [cs.IT]Cooperative Pilot Spoofing in MU-MIMO Systems
    Hui-Ming Wang, Shao-Di Wang
    http://arxiv.org/abs/2007.06987v1

    • [cs.IT]Energy-Efficient Resource Management for Federated Edge Learning with CPU-GPU Heterogeneous Computing
    Qunsong Zeng, Yuqing Du, Kaibin Huang, Kin K. Leung
    http://arxiv.org/abs/2007.07122v1

    • [cs.IT]Joint Beamforming Design for IRS-Aided Communications with Channel Estimation Errors
    Piao Zeng, Deli Qiao, Haifeng Qian
    http://arxiv.org/abs/2007.06859v1

    • [cs.IT]Joint Device Scheduling and Resource Allocation for Latency Constrained Wireless Federated Learning
    Wenqi Shi, Sheng Zhou, Zhisheng Niu, Miao Jiang, Lu Geng
    http://arxiv.org/abs/2007.07174v1

    • [cs.IT]Orthogonal Sparse Superposition Codes
    Yunseo Nam, Songnam Hong, and, Namyoon Lee
    http://arxiv.org/abs/2007.06739v1

    • [cs.LG]A Machine Learning Approach to Assess Student Group Collaboration Using Individual Level Behavioral Cues
    Anirudh Som, Sujeong Kim, Bladmir Lopez-Prado, Svati Dhamija, Nonye Alozie, Amir Tamrakar
    http://arxiv.org/abs/2007.06667v1

    • [cs.LG]A Systematic Survey on Deep Generative Models for Graph Generation
    Xiaojie Guo, Liang Zhao
    http://arxiv.org/abs/2007.06686v1

    • [cs.LG]ADSAGE: Anomaly Detection in Sequences of Attributed Graph Edges applied to insider threat detection at fine-grained level
    Mathieu Garchery, Michael Granitzer
    http://arxiv.org/abs/2007.06985v1

    • [cs.LG]Abstract Universal Approximation for Neural Networks
    Zi Wang, Aws Albarghouthi, Somesh Jha
    http://arxiv.org/abs/2007.06093v2

    • [cs.LG]Additively Homomorphical Encryption based Deep Neural Network for Asymmetrically Collaborative Machine Learning
    Yifei Zhang, Hao Zhu
    http://arxiv.org/abs/2007.06849v1

    • [cs.LG]Adversarial Attacks against Neural Networks in Audio Domain: Exploiting Principal Components
    Ken Alparslan, Yigit Alparslan, Matthew Burlick
    http://arxiv.org/abs/2007.07001v1

    • [cs.LG]An Interpretable Baseline for Time Series Classification Without Intensive Learning
    Robert J. Ravier, Mohammadreza Soltani, Miguel Antunes Dias Alfaiate, Denis Garagic, Vahid Tarokh
    http://arxiv.org/abs/2007.06682v1

    • [cs.LG]Attend And Discriminate: Beyond the State-of-the-Art for Human Activity Recognition using Wearable Sensors
    Alireza Abedin, Mahsa Ehsanpour, Qinfeng Shi, Hamid Rezatofighi, Damith C. Ranasinghe
    http://arxiv.org/abs/2007.07172v1

    • [cs.LG]Attentive Graph Neural Networks for Few-Shot Learning
    Hao Cheng, Joey Tianyi Zhou, Wee Peng Tay, Bihan Wen
    http://arxiv.org/abs/2007.06878v1

    • [cs.LG]Automated Synthetic-to-Real Generalization
    Wuyang Chen, Zhiding Yu, Zhangyang Wang, Anima Anandkumar
    http://arxiv.org/abs/2007.06965v1

    • [cs.LG]Black-Box Control for Linear Dynamical Systems
    Xinyi Chen, Elad Hazan
    http://arxiv.org/abs/2007.06650v1

    • [cs.LG]Bounding The Number of Linear Regions in Local Area for Neural Networks with ReLU Activations
    Rui Zhu, Bo Lin, Haixu Tang
    http://arxiv.org/abs/2007.06803v1

    • [cs.LG]Conditional Image Retrieval
    Mark Hamilton, Stephanie Fu, William T. Freeman, Mindren Lu
    http://arxiv.org/abs/2007.07177v1

    • [cs.LG]Deep Neural-Kernel Machines
    Siamak Mehrkanoon
    http://arxiv.org/abs/2007.06655v1

    • [cs.LG]Extracting Structured Data from Physician-Patient Conversations By Predicting Noteworthy Utterances
    Kundan Krishna, Amy Pavel, Benjamin Schloss, Jeffrey P. Bigham, Zachary C. Lipton
    http://arxiv.org/abs/2007.07151v1

    • [cs.LG]From Symmetry to Geometry: Tractable Nonconvex Problems
    Yuqian Zhang, Qing Qu, John Wright
    http://arxiv.org/abs/2007.06753v1

    • [cs.LG]Goal-Aware Prediction: Learning to Model What Matters
    Suraj Nair, Silvio Savarese, Chelsea Finn
    http://arxiv.org/abs/2007.07170v1

    • [cs.LG]Hands-on Bayesian Neural Networks — a Tutorial for Deep Learning Users
    Laurent Valentin Jospin, Wray Buntine, Farid Boussaid, Hamid Laga, Mohammed Bennamoun
    http://arxiv.org/abs/2007.06823v1

    • [cs.LG]Hard Label Black-box Adversarial Attacks in Low Query Budget Regimes
    Satya Narayan Shukla, Anit Kumar Sahu, Devin Willmott, J. Zico Kolter
    http://arxiv.org/abs/2007.07210v1

    • [cs.LG]Implicit Bias in Deep Linear Classification: Initialization Scale vs Training Accuracy
    Edward Moroshko, Suriya Gunasekar, Blake Woodworth, Jason D. Lee, Nathan Srebro, Daniel Soudry
    http://arxiv.org/abs/2007.06738v1

    • [cs.LG]Learning Choice Functions via Pareto-Embeddings
    Karlson Pfannschmidt, Eyke Hüllermeier
    http://arxiv.org/abs/2007.06927v1

    • [cs.LG]Lessons Learned from the Training of GANs on Artificial Datasets
    Shichang Tang
    http://arxiv.org/abs/2007.06418v2

    • [cs.LG]Lifelong Learning using Eigentasks: Task Separation, Skill Acquisition, and Selective Transfer
    Aswin Raghavan, Jesse Hostetler, Indranil Sur, Abrar Rahman, Ajay Divakaran
    http://arxiv.org/abs/2007.06918v1

    • [cs.LG]Lifelong Policy Gradient Learning of Factored Policies for
    689
    Faster Training Without Forgetting
    Jorge A. Mendez, Boyu Wang, Eric Eaton
    http://arxiv.org/abs/2007.07011v1

    • [cs.LG]Lossless Compression of Structured Convolutional Models via Lifting
    Gustav Sourek, Filip Zelezny
    http://arxiv.org/abs/2007.06567v1

    • [cs.LG]Momentum-Based Policy Gradient Methods
    Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang
    http://arxiv.org/abs/2007.06680v1

    • [cs.LG]Multi-Task Reinforcement Learning as a Hidden-Parameter Block MDP
    Amy Zhang, Shagun Sodhani, Khimya Khetarpal, Joelle Pineau
    http://arxiv.org/abs/2007.07206v1

    • [cs.LG]Node Copying for Protection Against Graph Neural Network Topology Attacks
    Florence Regol, Soumyasundar Pal, Mark Coates
    http://arxiv.org/abs/2007.06704v1

    • [cs.LG]Plateau Phenomenon in Gradient Descent Training of ReLU networks: Explanation, Quantification and Avoidance
    Mark Ainsworth, Yeonjong Shin
    http://arxiv.org/abs/2007.07213v1

    • [cs.LG]Predicting Sequences of Traversed Nodes in Graphs using Network Models with Multiple Higher Orders
    Christoph Gote, Giona Casiraghi, Frank Schweitzer, Ingo Scholtes
    http://arxiv.org/abs/2007.06662v1

    • [cs.LG]Privacy Amplification via Random Check-Ins
    Borja Balle, Peter Kairouz, H. Brendan McMahan, Om Thakkar, Abhradeep Thakurta
    http://arxiv.org/abs/2007.06605v1

    • [cs.LG]Programming by Rewards
    Nagarajan Natarajan, Ajaykrishna Karthikeyan, Prateek Jain, Ivan Radicek, Sriram Rajamani, Sumit Gulwani, Johannes Gehrke
    http://arxiv.org/abs/2007.06835v1

    • [cs.LG]Regularized linear autoencoders recover the principal components, eventually
    Xuchan Bao, James Lucas, Sushant Sachdeva, Roger Grosse
    http://arxiv.org/abs/2007.06731v1

    • [cs.LG]Representation Transfer by Optimal Transport
    Xuhong Li, Yves Grandvalet, Rémi Flamary, Nicolas Courty, Dejing Dou
    http://arxiv.org/abs/2007.06737v1

    • [cs.LG]Revisiting Fundamentals of Experience Replay
    William Fedus, Prajit Ramachandran, Rishabh Agarwal, Yoshua Bengio, Hugo Larochelle, Mark Rowland, Will Dabney
    http://arxiv.org/abs/2007.06700v1

    • [cs.LG]Robust Identifiability in Linear Structural Equation Models of Causal Inference
    Karthik Abinav Sankararaman, Anand Louis, Navin Goyal
    http://arxiv.org/abs/2007.06869v1

    • [cs.LG]Robustifying Reinforcement Learning Agents via Action Space Adversarial Training
    Kai Liang Tan, Yasaman Esfandiari, Xian Yeow Lee, Aakanksha, Soumik Sarkar
    http://arxiv.org/abs/2007.07176v1

    • [cs.LG]Robustness to Spurious Correlations via Human Annotations
    Megha Srivastava, Tatsunori Hashimoto, Percy Liang
    http://arxiv.org/abs/2007.06661v1

    • [cs.LG]Sequence-guided protein structure determination using graph convolutional and recurrent networks
    Po-Nan Li, Saulo H. P. de Oliveira, Soichi Wakatsuki, Henry van den Bedem
    http://arxiv.org/abs/2007.06847v1

    • [cs.LG]Single-partition adaptive Q-learning
    João Pedro Araújo, Mário Figueiredo, Miguel Ayala Botto
    http://arxiv.org/abs/2007.06741v1

    • [cs.LG]Spectrum-Guided Adversarial Disparity Learning
    Zhe Liu, Lina Yao, Lei Bai, Xianzhi Wang, Can Wang
    http://arxiv.org/abs/2007.06831v1

    • [cs.LG]T-Basis: a Compact Representation for Neural Networks
    Anton Obukhov, Maxim Rakhuba, Stamatios Georgoulis, Menelaos Kanakis, Dengxin Dai, Luc Van Gool
    http://arxiv.org/abs/2007.06631v1

    • [cs.LG]Towards Credit-Fraud Detection via Sparsely Varying Gaussian Approximations
    Harshit Sharma, Harsh K. Gandhi, Apoorv Jain
    http://arxiv.org/abs/2007.07181v1

    • [cs.LG]Verification of ML Systems via Reparameterization
    Jean-Baptiste Tristan, Joseph Tassarotti, Koundinya Vajjha, Michael L. Wick, Anindya Banerjee
    http://arxiv.org/abs/2007.06776v1

    • [cs.LG]WOR and $p$’s: Sketches for $\ell_p$-Sampling Without Replacement
    Edith Cohen, Rasmus Pagh, David P. Woodruff
    http://arxiv.org/abs/2007.06744v1

    • [cs.MA]Urban Mobility Swarms: A Scalable Implementation
    Alex Berke, Jason Nawyn, Thomas Sanchez Lengeling, Kent Larson
    http://arxiv.org/abs/2007.06653v1

    • [cs.RO]A Humanoid Social Agent Embodying Physical Assistance Enhances Motor Training Experience
    Giulia Belgiovine, Francesco Rea, Jacopo Zenzeri, Alessandra Sciutti
    http://arxiv.org/abs/2007.05980v1

    • [cs.RO]A Motion Taxonomy for Manipulation Embedding
    David Paulius, Nicholas Eales, Yu Sun
    http://arxiv.org/abs/2007.06695v1

    • [cs.RO]Deployment and Evaluation of a Flexible Human-Robot Collaboration Model Based on AND/OR Graphs in a Manufacturing Environment
    Prajval Kumar Murali, Kourosh Darvish, Fulvio Mastrogiovanni
    http://arxiv.org/abs/2007.06720v1

    • [cs.RO]Fast Lane-Level Intersection Estimation using Markov Chain Monte Carlo Sampling and B-Spline Refinement
    Annika Meyer, Jonas Walter, Martin Lauer
    http://arxiv.org/abs/2007.06904v1

    • [cs.RO]Steps Towards Best Practices For Robot Videos
    Eric Rosen, Stefanie Tellex, Geroge Konidaris
    http://arxiv.org/abs/2007.06218v1

    • [cs.SD]A Deep Learning Approach for Low-Latency Packet Loss Concealment of Audio Signals in Networked Music Performance Applications
    Prateek Verma, Alessandro Ilic Mezza, Chris Chafe, Cristina Rottondi
    http://arxiv.org/abs/2007.07132v1

    • [cs.SE]Gradient Descent over Metagrammars for Syntax-Guided Synthesis
    Nicolas Chan, Elizabeth Polgreen, Sanjit A. Seshia
    http://arxiv.org/abs/2007.06677v1

    • [cs.SI]Data-driven modelling and characterisation of task completion sequences in online courses
    Robert L. Peach, Sam F. Greenbury, Iain G. Johnston, Sophia N. Yaliraki, David Lefevre, Mauricio Barahona
    http://arxiv.org/abs/2007.07003v1

    • [cs.SI]H-VGRAE: A Hierarchical Stochastic Spatial-Temporal Embedding Method for Robust Anomaly Detection in Dynamic Networks
    Chenming Yang, Liang Zhou, Hui Wen, Zhiheng Zhou, Yue Wu
    http://arxiv.org/abs/2007.06903v1

    • [cs.SI]Power, Preferment, and Patronage: Catholic Bishops, Social Networks, and the Affair(s) of Ex-Cardinal McCarrick
    Stephen Bullivant, Giovanni Radhitio Putra Sadewo
    http://arxiv.org/abs/2007.06606v1

    • [cs.SI]ReAD: A Regional Anomaly Detection Framework Based on Dynamic Partition
    Huaishao Luo, Chuishi Meng, Bowen Wu, Junbo Zhang, Tianrui Li, Yu Zheng
    http://arxiv.org/abs/2007.06794v1

    • [econ.EM]A More Robust t-Test
    Ulrich K. Mueller
    http://arxiv.org/abs/2007.07065v1

    • [econ.TH]Polarization in networks
    Kenan Huremovic, Ali Ozkes
    http://arxiv.org/abs/2007.07061v1

    • [eess.AS]Deep Transformer based Data Augmentation with Subword Units for Morphologically Rich Online ASR
    Balázs Tarján, György Szaszák, Tibor Fegyó, Péter Mihajlik
    http://arxiv.org/abs/2007.06949v1

    • [eess.AS]Sudo rm -rf: Efficient Networks for Universal Audio Source Separation
    Efthymios Tzinis, Zhepei Wang, Paris Smaragdis
    http://arxiv.org/abs/2007.06833v1

    • [eess.IV]Cross-Domain Medical Image Translation by Shared Latent Gaussian Mixture Model
    Yingying Zhu, Youbao Tang, Yuxing Tang, Daniel C. Elton, Sungwon Lee, Perry J. Pickhardt, Ronald M. Summers
    http://arxiv.org/abs/2007.07230v1

    • [eess.IV]Inferring the 3D Standing Spine Posture from 2D Radiographs
    Amirhossein Bayat, Anjany Sekuboyina, Johannes C. Paetzold, Christian Payer, Darko Stern, Martin Urschler, Jan S. Kirschke, Bjoern H. Menze
    http://arxiv.org/abs/2007.06612v1

    • [eess.IV]Landslide Segmentation with U-Net: Evaluating Different Sampling Methods and Patch Sizes
    Lucas P. Soares, Helen C. Dias, Carlos H. Grohmann
    http://arxiv.org/abs/2007.06672v1

    • [eess.IV]MFRNet: A New CNN Architecture for Post-Processing and In-loop Filtering
    Di Ma, Fan Zhang, David R. Bull
    http://arxiv.org/abs/2007.07099v1

    • [eess.IV]Symmetric Dilated Convolution for Surgical Gesture Recognition
    Jinglu Zhang, Yinyu Nie, Yao Lyu, Hailin Li, Jian Chang, Xiaosong Yang, Jian Jun Zhang
    http://arxiv.org/abs/2007.06373v2

    • [eess.SP]Efficient Power-Splitting and Resource Allocation for Cellular V2X Communications
    Furqan Jameel, Wali Ullah Khan, Neeraj Kumar, Riku Jantti
    http://arxiv.org/abs/2007.06928v1

    • [eess.SP]Inertial Sensing Meets Artificial Intelligence: Opportunity or Challenge?
    You Li, Ruizhi Chen, Xiaoji Niu, Yuan Zhuang, Zhouzheng Gao, Xin Hu, Naser El-Sheimy
    http://arxiv.org/abs/2007.06727v1

    • [eess.SP]On the Effective Capacity of IRS assisted wireless communication
    Waqas Aman, M. Mahboob Ur Rahman, Shuja Ansari, Ali Arshad Nasir, Khalid Qaraqe, M. Ali Imran, Qammer H. Abbasi
    http://arxiv.org/abs/2007.06825v1

    • [eess.SP]Reinforcement Learning of Musculoskeletal Control from Functional Simulations
    Emanuel Joos, Fabien Péan, Orcun Goksel
    http://arxiv.org/abs/2007.06669v1

    • [eess.SP]SRDCNN: Strongly Regularized Deep Convolution Neural Network Architecture for Time-series Sensor Signal Classification Tasks
    Arijit Ukil, Antonio Jara, Leandro Marin
    http://arxiv.org/abs/2007.06909v1

    • [eess.SP]Uncertainty Aware Deep Neural Network for Multistatic Localization with Application to Ultrasonic Structural Health Monitoring
    Ishan D. Khurjekar, Joel B. Harley
    http://arxiv.org/abs/2007.06814v1

    • [eess.SY]Fleet Sizing and Charger Allocation in Electric Vehicle Sharing Systems
    Yuntian Deng, Abhishek Gupta, Ness B. Shroff
    http://arxiv.org/abs/2007.06687v1

    • [eess.SY]Learning hidden influences in large-scale dynamical social networks: A data-driven sparsity-based approach
    Chiara Ravazzi, Fabrizio Dabbene, Constantino Lagoa, Anton V. Proskurnikov
    http://arxiv.org/abs/2007.06713v1

    • [eess.SY]Multi-Objective Vehicle Rebalancing for Ridehailing System using a Reinforcement Learning Approach
    Yuntian Deng, Hao Chen, Shiping Shao, Jiacheng Tang, Jianzong Pi, Abhishek Gupta
    http://arxiv.org/abs/2007.06801v1

    • [eess.SY]Ternary Policy Iteration Algorithm for Nonlinear Robust Control
    Jie Li, Shengbo Eben Li, Yang Guan, Jingliang Duan, Wenyu Li, Yuming Yin
    http://arxiv.org/abs/2007.06810v1

    • [hep-lat]On Estimation of Thermodynamic Observables in Lattice Field Theories with Deep Generative Models
    Kim A. Nicoli, Christopher J. Anders, Lena Funcke, Tobias Hartung, Karl Jansen, Pan Kessel, Shinichi Nakajima, Paolo Stornati
    http://arxiv.org/abs/2007.07115v1

    • [math.AP]Lipschitz regularity of graph Laplacians on random data clouds
    Jeff Calder, Nicolas Garcia Trillos, Marta Lewicka
    http://arxiv.org/abs/2007.06679v1

    • [math.DS]Dynamics of coordinate ascent variational inference: A case study in 2D Ising models
    Sean Plummer, Debdeep Pati, Anirban Bhattacharya
    http://arxiv.org/abs/2007.06715v1

    • [math.OC]Combining Deep Learning and Optimization for Security-Constrained Optimal Power Flow
    Alexandre Velloso, Pascal Van Hentenryck
    http://arxiv.org/abs/2007.07002v1

    • [math.OC]Follow the bisector: a simple method for multi-objective optimization
    Alexandr Katrutsa, Daniil Merkulov, Nurislam Tursynbek, Ivan Oseledets
    http://arxiv.org/abs/2007.06937v1

    • [math.OC]Global Convergence of Second-order Dynamics in Two-layer Neural Networks
    Walid Krichene, Kenneth F. Caluya, Abhishek Halder
    http://arxiv.org/abs/2007.06852v1

    • [math.PR]Species tree estimation under joint modeling of coalescence and duplication: sample complexity of quartet methods
    Max Hill, Brandon Legried, Sebastien Roch
    http://arxiv.org/abs/2007.06697v1

    • [math.ST]On the Current and Longest Head Run
    Dennis Koh
    http://arxiv.org/abs/2007.06735v1

    • [physics.soc-ph]Characterizing the spread of CoViD-19
    Dean Karlen
    http://arxiv.org/abs/2007.07156v1

    • [q-bio.PE]COVID-19 infectivity profile correction
    Peter Ashcroft, Jana S. Huisman, Sonja Lehtinen, Judith A. Bouman, Christian L. Althaus, Roland R. Regoes, Sebastian Bonhoeffer
    http://arxiv.org/abs/2007.06602v1

    • [q-fin.RM]A comparative study of forecasting Corporate Credit Ratings using Neural Networks, Support Vector Machines, and Decision Trees
    Parisa Golbayani, Ionuţ Florescu, Rupak Chatterjee
    http://arxiv.org/abs/2007.06617v1

    • [q-fin.ST]Modeling Financial Time Series using LSTM with Trainable Initial Hidden States
    Jungsik Hwang
    http://arxiv.org/abs/2007.06848v1

    • [quant-ph]Quantum exploration algorithms for multi-armed bandits
    Daochen Wang, Xuchen You, Tongyang Li, Andrew M. Childs
    http://arxiv.org/abs/2007.07049v1

    • [stat.AP]A Latent Mixture Model for Heterogeneous Causal Mechanisms in Mendelian Randomization
    Daniel Iong, Qingyuan Zhao, Yang Chen
    http://arxiv.org/abs/2007.06476v2

    • [stat.AP]A unified machine learning approach to time series forecasting applied to demand at emergency departments
    Michaela A. C. Vollmer, Ben Glampson, Thomas A. Mellan, Swapnil Mishra, Luca Mercuri, Ceire Costello, Robert Klaber, Graham Cooke, Seth Flaxman, Samir Bhatt
    http://arxiv.org/abs/2007.06566v1

    • [stat.AP]To BAN or not to BAN: Bayesian Attention Networks for Reliable Hate Speech Detection
    Kristian Miok, Blaz Skrlj, Daniela Zaharie, Marko Robnik-Sikonja
    http://arxiv.org/abs/2007.05304v2

    • [stat.AP]Use of Machine Learning and Artificial Intelligence to predict SARS-CoV-2 infection from Full Blood Counts in a population
    Abhirup Banerjeea, Surajit Ray, Bart Vorselaars, Joanne Kitson, Michail Mamalakis, Simonne Weeks, Mark Baker, Louise S. Mackenzie
    http://arxiv.org/abs/2007.06971v1

    • [stat.ME]A Class of Conjugate Priors for Multinomial Probit Models which Includes the Multivariate Normal One
    Augusto Fasano, Daniele Durante
    http://arxiv.org/abs/2007.06944v1

    • [stat.ME]A Unified Computational and Theoretical Framework for High-Dimensional Bayesian Additive Models
    Ray Bai
    http://arxiv.org/abs/2007.07021v1

    • [stat.ME]A novel dowscaling procedure for compositional data in the Aitchison geometry with application to soil texture data
    Federico Gatti, Alessandra Menafoglio, Niccolò Togni, Luca Bonaventura, Davide Brambilla, Monica Papini, Laura Longoni
    http://arxiv.org/abs/2007.06856v1

    • [stat.ME]Bridging preference-based instrumental variable studies and cluster-randomized encouragement experiments: study design, noncompliance, and average cluster effect ratio
    Bo Zhang, Siyu Heng, Emily J. MacKay, Ting Ye
    http://arxiv.org/abs/2007.06772v1

    • [stat.ME]Causal Inference using Gaussian Processes with Structured Latent Confounders
    Sam Witty, Kenta Takatsu, David Jensen, Vikash Mansinghka
    http://arxiv.org/abs/2007.07127v1

    • [stat.ME]Mixture of linear experts model for censored data: A novel approach with scale-mixture of normal distributions
    Elham Mirfarah, Mehrdad Naderi, Ding-Geng Chen
    http://arxiv.org/abs/2007.06635v1

    • [stat.ME]Predicting feature imputability in the absence of ground truth
    Niamh McCombe, Xuemei Ding, Girijesh Prasad, David P. Finn, Stephen Todd, Paula L. McClean, KongFatt Wong-Lin
    http://arxiv.org/abs/2007.07052v1

    • [stat.ML]A Decentralized Approach to Bayesian Learning
    Anjaly Parayil, He Bai, Jemin George, Prudhvi Gurram
    http://arxiv.org/abs/2007.06799v1

    • [stat.ML]Deep Composition of Tensor Trains using Squared Inverse Rosenblatt Transports
    Tiangang Cui, Sergey Dolgov
    http://arxiv.org/abs/2007.06968v1

    • [stat.ML]Deep Learning for Quantile Regression: DeepQuantreg
    Yichen Jia, Jong-Hyeon Jeong
    http://arxiv.org/abs/2007.07056v1

    • [stat.ML]Early stopping and polynomial smoothing in regression with reproducing kernels
    Yaroslav Averyanov, Alain Celisse
    http://arxiv.org/abs/2007.06827v1

    • [stat.ML]Estimating Barycenters of Measures in High Dimensions
    Samuel Cohen, Michael Arbel, Marc Peter Deisenroth
    http://arxiv.org/abs/2007.07105v1

    • [stat.ML]Extendable and invertible manifold learning with geometry regularized autoencoders
    Andrés F. Duque, Sacha Morin, Guy Wolf, Kevin R. Moon
    http://arxiv.org/abs/2007.07142v1

    • [stat.ML]Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks
    Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez
    http://arxiv.org/abs/2007.07124v1

    • [stat.ML]Model-Agnostic Interpretable and Data-driven suRRogates suited for highly regulated industries
    Roel Henckaerts, Katrien Antonio, Marie-Pier Côté
    http://arxiv.org/abs/2007.06894v1

    • [stat.ML]Quantitative Propagation of Chaos for SGD in Wide Neural Networks
    Valentin De Bortoli, Alain Durmus, Xavier Fontaine, Umut Simsekli
    http://arxiv.org/abs/2007.06352v2