今日学术视野(2020.7.4)

cs.AI - 人工智能 cs.AR - 硬件体系结构 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.GR - 计算机图形学 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.NE - 神经与进化计算 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 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.ST - 统计理论 nlin.AO - 适应和自组织系统 physics.comp-ph - 计算物理学 physics.optics - 光学 q-bio.NC - 神经元与认知 q-bio.QM - 定量方法 quant-ph - 量子物理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习

• [cs.AI]A Semantic Web Framework for Automated Smart Assistants: COVID-19 Case Study
• [cs.AI]Allocation of Multi-Robot Tasks with Task Variants
• [cs.AI]Am I Building a White Box Agent or Interpreting a Black Box Agent?
• [cs.AI]Designing Environments Conducive to Interpretable Robot Behavior
• [cs.AI]Drug discovery with explainable artificial intelligence
• [cs.AI]Higher-order Logic as Lingua Franca — Integrating Argumentative Discourse and Deep Logical Analysis
• [cs.AI]Medical idioms for clinical Bayesian network development
• [cs.AI]Quantifying causal contribution via structure preserving interventions
• [cs.AI]Signature-Based Abduction for Expressive Description Logics — Technical Report
• [cs.AI]Unifying Model Explainability and Robustness via Machine-Checkable Concepts
• [cs.AI]Verifiably Safe Exploration for End-to-End Reinforcement Learning
• [cs.AI]Verification of indefinite-horizon POMDPs
• [cs.AR]Efficient Communication Acceleration for Next-GenScale-up Deep Learning Training Platforms
• [cs.AR]Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights
• [cs.CL]Bidirectional Encoder Representations from Transformers (BERT): A sentiment analysis odyssey
• [cs.CL]Can We Achieve More with Less? Exploring Data Augmentation for Toxic Comment Classification
• [cs.CL]Fact-based Text Editing
• [cs.CL]Facts as Experts: Adaptable and Interpretable Neural Memory over Symbolic Knowledge
• [cs.CL]IIE-NLP-NUT at SemEval-2020 Task 4: Guiding PLM with Prompt Template Reconstruction Strategy for ComVE
• [cs.CL]Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering
• [cs.CL]Lightme: Analysing Language in Internet Support Groups for Mental Health
• [cs.CL]NLNDE: Enhancing Neural Sequence Taggers with Attention and Noisy Channel for Robust Pharmacological Entity Detection
• [cs.CL]NLNDE: The Neither-Language-Nor-Domain-Experts’ Way of Spanish Medical Document De-Identification
• [cs.CL]Processing South Asian Languages Written in the Latin Script: the Dakshina Dataset
• [cs.CL]Project PIAF: Building a Native French Question-Answering Dataset
• [cs.CL]Relevance-guided Supervision for OpenQA with ColBERT
• [cs.CL]Sequential Domain Adaptation through Elastic Weight Consolidation for Sentiment Analysis
• [cs.CR]Proofs of Useless Work — Positive and Negative Results for Wasteless Mining Systems
• [cs.CR]Zooming Into Video Conferencing Privacy and Security Threats
• [cs.CV]A Closer Look at Local Aggregation Operators in Point Cloud Analysis
• [cs.CV]A deep primal-dual proximal network for image restoration
• [cs.CV]ACFD: Asymmetric Cartoon Face Detector
• [cs.CV]Age-Oriented Face Synthesis with Conditional Discriminator Pool and Adversarial Triplet Loss
• [cs.CV]Are there any ‘object detectors’ in the hidden layers of CNNs trained to identify objects or scenes?
• [cs.CV]Attention-Oriented Action Recognition for Real-Time Human-Robot Interaction
• [cs.CV]Automatic Page Segmentation Without Decompressing the Run-Length Compressed Text Documents
• [cs.CV]ConFoc: Content-Focus Protection Against Trojan Attacks on Neural Networks
• [cs.CV]Curriculum Manager for Source Selection in Multi-Source Domain Adaptation
• [cs.CV]Deep Single Image Manipulation
• [cs.CV]Estimating Blink Probability for Highlight Detection in Figure Skating Videos
• [cs.CV]Globally Optimal Segmentation of Mutually Interacting Surfaces using Deep Learning
• [cs.CV]Image Analysis Based on Nonnegative/Binary Matrix Factorization
• [cs.CV]JUMPS: Joints Upsampling Method for Pose Sequences
• [cs.CV]Learning Geocentric Object Pose in Oblique Monocular Images
• [cs.CV]Learning ordered pooling weights in image classification
• [cs.CV]Low-light Environment Neural Surveillance
• [cs.CV]MSA-MIL: A deep residual multiple instance learning model based on multi-scale annotation for classification and visualization of glomerular spikes
• [cs.CV]Mining and Tailings Dam Detection In Satellite Imagery Using Deep Learning
• [cs.CV]Motion Prediction in Visual Object Tracking
• [cs.CV]Multiclass Classification with an Ensemble of Binary Classification Deep Networks
• [cs.CV]Noticing Motion Patterns: Temporal CNN with a Novel Convolution Operator for Human Trajectory Prediction
• [cs.CV]Object Goal Navigation using Goal-Oriented Semantic Exploration
• [cs.CV]PerceptionGAN: Real-world Image Construction from Provided Text through Perceptual Understanding
• [cs.CV]Query-Free Adversarial Transfer via Undertrained Surrogates
• [cs.CV]RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces
• [cs.CV]RGB-D-based Framework to Acquire, Visualize and Measure the Human Body for Dietetic Treatments
• [cs.CV]ReXNet: Diminishing Representational Bottleneck on Convolutional Neural Network
• [cs.CV]Self-supervised Deep Reconstruction of Mixed Strip-shredded Text Documents
• [cs.CV]The Impact of Explanations on AI Competency Prediction in VQA
• [cs.CV]TiledSoilingNet: Tile-level Soiling Detection on Automotive Surround-view Cameras Using Coverage Metric
• [cs.CV]Understanding Road Layout from Videos as a Whole
• [cs.CV]Virtual Testbed for Monocular Visual Navigation of Small Unmanned Aircraft Systems
• [cs.CV]Weakly Supervised Segmentation with Multi-scale Adversarial Attention Gates
• [cs.CV]Weakly-Supervised Segmentation for Disease Localization in Chest X-Ray Images
• [cs.CY]Build2Vec: Building Representation in Vector Space
• [cs.CY]Evolving Methods for Evaluating and Disseminating Computing Research
• [cs.CY]Legends: Folklore on Reddit
• [cs.CY]Random errors are not politically neutral
• [cs.CY]Response by the Montreal AI Ethics Institute to the Santa Clara Principles on Transparency and Accountability in Online Content Moderation
• [cs.CY]The use of personal data in French public services: applications, e-mails, websites, apps
• [cs.CY]Towards Data-Driven Affirmative Action Policies under Uncertainty
• [cs.DC]Automatic Horizontal Fusion for GPU Kernels
• [cs.DC]DAPPLE: A Pipelined Data Parallel Approach for Training Large Models
• [cs.DC]Efficient Generation of Mandelbrot Set using Message Passing Interface
• [cs.DC]Enhancing Autonomy with Blockchain and Multi-Access Edge Computing in Distributed Robotic Systems
• [cs.DC]Fast Hybrid Network Algorithms for Shortest Paths in Sparse Graphs
• [cs.DC]GSoFa: Scalable Sparse LU Symbolic Factorization on GPUs
• [cs.DC]S2CE: A Hybrid Cloud and Edge Orchestrator for Mining Exascale Distributed Streams
• [cs.DC]Simulation and Analysis of Distributed Wireless Sensor Network using Message Passing Interface
• [cs.DS]Adapting $k$-means algorithms for outliers
• [cs.DS]Parallel Planar Subgraph Isomorphism and Vertex Connectivity
• [cs.GR]ADD: Analytically Differentiable Dynamics for Multi-Body Systems with Frictional Contact
• [cs.GR]Surface Denoising based on Normal Filtering in a Robust Statistics Framework
• [cs.IR]Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval
• [cs.IR]Climbing the WOL: Training for Cheaper Inference
• [cs.IR]Computing Conceptual Distances between Breast Cancer Screening Guidelines: An Implementation of a Near-Peer Epistemic Model ofMedical Disagreement
• [cs.IR]How circular economy and industrial ecology concepts are intertwined? A bibliometric and text mining analysis
• [cs.IR]Multi-sided Exposure Bias in Recommendation
• [cs.IT]A Survey of Prototype and Experiment for UAV Communications
• [cs.IT]Adaptive Scheduling and Trajectory Design for Power-Constrained Wireless UAV Relays
• [cs.IT]Cache-Aided Matrix Multiplication Retrieval
• [cs.IT]Deep Learning Methods for Universal MISO Beamforming
• [cs.IT]Efficient Hybrid Beamforming with Anti-Blockage Design for High-Speed Railway Communications
• [cs.IT]Entanglement-Assisted Quantum Error Correcting Codes From RS Codes and BCH Codes with Extension Degree 2
• [cs.IT]Reconfigurable Intelligent Surface Assisted Device-to-Device Communications
• [cs.IT]Signal Encryption Strategy based on Domain change of the Fractional Fourier Transform
• [cs.IT]Wireless Communication through Frequency Modulating Reflective Intelligent Surfaces
• [cs.LG]A Brief Review of Deep Multi-task Learning and Auxiliary Task Learning
• [cs.LG]A Perspective on Gaussian Processes for Earth Observation
• [cs.LG]A Revision of Neural Tangent Kernel-based Approaches for Neural Networks
• [cs.LG]A Semi-Supervised Generative Adversarial Network for Prediction of Genetic Disease Outcomes
• [cs.LG]A Survey on Self-supervised Pre-training for Sequential Transfer Learning in Neural Networks
• [cs.LG]Accelerated Message Passing for Entropy-Regularized MAP Inference
• [cs.LG]Adaptive Discretization for Model-Based Reinforcement Learning
• [cs.LG]Adversarial Example Games
• [cs.LG]AutoBayes: Automated Inference via Bayesian Graph Exploration for Nuisance-Robust Biosignal Analysis
• [cs.LG]BOSH: Bayesian Optimization by Sampling Hierarchically
• [cs.LG]Bandit Linear Control
• [cs.LG]Bayesian tensor learning for structural monitoring data imputation and response forecasting
• [cs.LG]Beyond Signal Propagation: Is Feature Diversity Necessary in Deep Neural Network Initialization?
• [cs.LG]BusTr: Predicting Bus Travel Times from Real-Time Traffic
• [cs.LG]Compressed Sensing via Measurement-Conditional Generative Models
• [cs.LG]Consistent Structured Prediction with Max-Min Margin Markov Networks
• [cs.LG]Convolutional Neural Network Training with Distributed K-FAC
• [cs.LG]Deep Learning Defenses Against Adversarial Examples for Dynamic Risk Assessment
• [cs.LG]Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review
• [cs.LG]Deep brain state classification of MEG data
• [cs.LG]Efficient Proximal Mapping of the 1-path-norm of Shallow Networks
• [cs.LG]Epileptic seizure detection using deep learning techniques: A Review
• [cs.LG]Exponentially Weighted l2 Regularization Strategy in Constructing Reinforced Second-order Fuzzy Rule-based Model
• [cs.LG]Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy
• [cs.LG]Federated Learning with Compression: Unified Analysis and Sharp Guarantees
• [cs.LG]Go Wide, Then Narrow: Efficient Training of Deep Thin Networks
• [cs.LG]Hierarchically-Organized Latent Modules for Exploratory Search in Morphogenetic Systems
• [cs.LG]Improved Bounds on Minimax Regret under Logarithmic Loss via Self-Concordance
• [cs.LG]In-Distribution Interpretability for Challenging Modalities
• [cs.LG]Iterative Bounding Box Annotation for Object Detection
• [cs.LG]Laplacian Change Point Detection for Dynamic Graphs
• [cs.LG]Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score
• [cs.LG]Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search
• [cs.LG]Learning to Read through Machine Teaching
• [cs.LG]Learning to search efficiently for causally near-optimal treatments
• [cs.LG]MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain Diseases
• [cs.LG]MPLP: Learning a Message Passing Learning Protocol
• [cs.LG]Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning
• [cs.LG]On Dropout, Overfitting, and Interaction Effects in Deep Neural Networks
• [cs.LG]On the Outsized Importance of Learning Rates in Local Update Methods
• [cs.LG]Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey
• [cs.LG]Outlier Detection through Null Space Analysis of Neural Networks
• [cs.LG]Partial Trace Regression and Low-Rank Kraus Decomposition
• [cs.LG]Policy Improvement from Multiple Experts
• [cs.LG]Private Optimization Without Constraint Violations
• [cs.LG]PrototypeML: A Neural Network Integrated Design and Development Environment
• [cs.LG]Quantum Ensemble for Classification
• [cs.LG]Relating by Contrasting: A Data-efficient Framework for Multimodal Generative Models
• [cs.LG]Rethink Maximum Mean Discrepancy for Domain Adaptation
• [cs.LG]Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch
• [cs.LG]Robust Learning against Logical Adversaries
• [cs.LG]Scene Graph Reasoning for Visual Question Answering
• [cs.LG]Sequential Transfer in Reinforcement Learning with a Generative Model
• [cs.LG]Sliced Iterative Generator
• [cs.LG]Software Engineering Event Modeling using Relative Time in Temporal Knowledge Graphs
• [cs.LG]Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location
• [cs.LG]Tilted Empirical Risk Minimization
• [cs.LG]ε-BMC: A Bayesian Ensemble Approach to Epsilon-Greedy Exploration in Model-Free Reinforcement Learning
• [cs.MA]Modelling heterogeneous outcomes in multi-agent systems
• [cs.NE]A Novel DNN Training Framework via Data Sampling and Multi-Task Optimization
• [cs.NE]High Dimensional Bayesian Optimization Assisted by Principal Component Analysis
• [cs.NE]Progressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networks
• [cs.RO]A Learning-Driven Framework with Spatial Optimization For Surgical Suture Thread Reconstruction and Autonomous Grasping Under Multiple Topologies and Environmental Noises
• [cs.RO]A New Direction in Firefighting Systems
• [cs.RO]Achieving Multi-Tasking Robots in Multi-Robot Tasks
• [cs.RO]Asynchronous Real-Time Optimization of Footstep Placement and Timing in Bipedal Walking Robots
• [cs.RO]Autonomous and cooperative design of the monitor positions for a team of UAVs to maximize the quantity and quality of detected objects
• [cs.RO]Control of Walking Assist Exoskeleton with Time-delay Based on the Prediction of Pla
74d
ntar Force
• [cs.RO]Deliberate Exploration Supports Navigation in Unfamiliar Worlds
• [cs.RO]Design and Analysis of 6-DOF Triple Scissor Extender Robots with Applications in Aircraft Assembly
• [cs.RO]Design of Extra Robotic Legs for Augmenting Human Payload Capabilities by Exploiting Singularity and Torque Redistribution
• [cs.RO]Falsification-Based Robust Adversarial Reinforcement Learning
• [cs.RO]Guidance of Agents in Cyclic Pursuit
• [cs.RO]Human-centered collaborative robots with deep reinforcement learning
• [cs.RO]Line Walking and Balancing for Legged Robots with Point Feet
• [cs.RO]Localization and Mapping of Sparse Geologic Features with Unpiloted Aircraft Systems
• [cs.RO]Towards Generalization and Data Efficient Learning of Deep Robotic Grasping
• [cs.RO]Triple Scissor Extender: A 6-DOF Lifting and Positioning Robot
• [cs.SD]Spot the conversation: speaker diarisation in the wild
• [cs.SE]Testing match-3 video games with Deep Reinforcement Learning
• [cs.SI]A simple bipartite graph projection model for clustering in networks
• [cs.SI]Monitoring Depression Trend on Twitter during the COVID-19 Pandemic
• [eess.AS]Data Augmenting Contrastive Learning of Speech Representations in the Time Domain
• [eess.IV]4D Spatio-Temporal Convolutional Networks for Object Position Estimation in OCT Volumes
• [eess.IV]An encoder-decoder-based method for COVID-19 lung infection segmentation
• [eess.IV]Globally Optimal Surface Segmentation using Deep Learning with Learnable Smoothness Priors
• [eess.IV]Image Processing and Quality Control for Abdominal Magnetic Resonance Imaging in the UK Biobank
• [eess.IV]PGD-UNet: A Position-Guided Deformable Network for Simultaneous Segmentation of Organs and Tumors
• [eess.IV]Rapid tissue oxygenation mapping from snapshot structured-light images with adversarial deep learning
• [eess.IV]Spectral-Spatial Recurrent-Convolutional Networks for In-Vivo Hyperspectral Tumor Type Classification
• [eess.IV]Uncertainty-Guided Efficient Interactive Refinement of Fetal Brain Segmentation from Stacks of MRI Slices
• [eess.SP]An Implementation of Partial Transmit Sequences to Design Energy Efficient Underwater Acoustic OFDM Communication System
• [eess.SP]Balancing Rates and Variance via Adaptive Batch-Size for Stochastic Optimization Problems
• [eess.SP]From Spectrum Wavelet to Vertex Propagation: Graph Convolutional Networks Based on Taylor Approximation
• [math.ST]Asymptotic control of FWER under Gaussian assumption: application to correlation tests
• [math.ST]Bayesian nonparametric tests for multivariate locations
• [math.ST]Double-Loop Unadjusted Langevin Algorithm
• [math.ST]Learning with tree tensor networks: complexity estimates and model selection
• [math.ST]Scalable Monte Carlo Inference and Rescaled Local Asymptotic Normality
• [nlin.AO]Clusterization and phase diagram of the bimodal Kuramoto model with bounded confidence
• [physics.comp-ph]Molecular Latent Space Simulators
• [physics.optics]Deep learning-based holographic polarization microscopy
• [q-bio.NC]Modelling Drosophila Motion Vision Pathways for Decoding the Direction of Translating Objects Against Cluttered Moving Backgrounds
• [q-bio.QM]Machinery Failure Approach and Spectral Analysis to study the Reaction Time Dynamics over Consecutive Visual Stimuli
• [quant-ph]Entanglement-Assisted Quantum Communication Beating the Quantum Singleton Bound
• [quant-ph]Quantifying causal influences in the presence of a quantum common cause
• [stat.AP]A robust nonlinear mixed-effects model for COVID-19 deaths data
• [stat.AP]An Early Warning Approach to Monitor COVID-19 Activity with Multiple Digital Traces in Near Real-Time
• [stat.AP]Multiple system estimation using covariates having missing values and measurement error: estimating the size of the Māori population in New Zealand
• [stat.AP]Pricing service maintenance contracts using predictive analytics
• [stat.CO]Emulation of stochastic simulators using generalized lambda models
• [stat.ME]A Scale-free Approach for False Discovery Rate Control in Generalized Linear Models
• [stat.ME]A hybrid landmark Aalen-Johansen estimator for transition probabilities in partially non-Markov multi-state models
• [stat.ME]A new measure for the analysis of epidemiological associations: Cannabis use disorder examples
• [stat.ME]Advances in Statistical Modeling of Spatial Extremes
• [stat.ME]Bayesian Multivariate Quantile Regression Using Dependent Dirichlet Process Prior
• [stat.ME]Contrast Specific Propensity Scores
• [stat.ME]Efficient estimation of the ANOVA mean dimension, with an application to neural net classification
• [stat.ME]Floodgate: inference for model-free variable importance
• [stat.ME]High-dimensional MANOVA via Bootstrapping and its Application to Functional Data and Sparse Count Data
• [stat.ME]Linear regression and its inference on noisy network-linked data
• [stat.ME]On the use of historical estimates
• [stat.ME]Robust Inference for Mediated Effects in Partially Linear Models
• [stat.ME]Scalable modeling of nonstationary covariance functions with non-folding B-spline deformation
• [stat.ME]Sliced Inverse Regression for Spatial Data
• [stat.ME]Testing for publication bias in meta-analysis under Copas selection model
• [stat.ME]Unlinked monotone regression
• [stat.ML]Accurate Characterization of Non-Uniformly Sampled Time Series using Stochastic Differential Equations
• [stat.ML]Bayesian Coresets: An Optimization Perspective
• [stat.ML]Decentralized Stochastic Gradient Langevin Dynamics and Hamiltonian Monte Carlo
• [stat.ML]Explaining predictive models with mixed features using Shapley values and conditional inference trees
• [stat.ML]Gamification of Pure Exploration for Linear Bandits
• [stat.ML]Information Theoretic Sample Complexity Lower Bound for Feed-Forward Fully-Connected Deep Networks
• [stat.ML]Multi-resolution Super Learner for Voxel-wise Classification of Prostate Cancer Using Multi-parametric MRI
• [stat.ML]On Linear Identifiability of Learned Representations
• [stat.ML]Provably Efficient Neural Estimation of Structural Equation Model: An Adversarial Approach
• [stat.ML]Structure Adaptive Algorithms for Stochastic Bandits
• [stat.ML]Tensor Estimation with Nearly Linear Samples
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• [cs.AI]A Semantic Web Framework for Automated Smart Assistants: COVID-19 Case Study
_Yusuf Sermet, Ibrahim Demir
http://arxiv.org/abs/2007.00747v1
• [cs.AI]Allocation of Multi-Robot Tasks with Task Variants
Zakk Giacometti, Yu Zhang
http://arxiv.org/abs/2007.00777v1
• [cs.AI]Am I Building a White Box Agent or Interpreting a Black Box Agent?
Tom Bewley
http://arxiv.org/abs/2007.01187v1
• [cs.AI]Designing Environments Conducive to Interpretable Robot Behavior
Anagha Kulkarni, Sarath Sreedharan, Sarah Keren, Tathagata Chakraborti, David Smith, Subbarao Kambhampati
http://arxiv.org/abs/2007.00820v1
• [cs.AI]Drug discovery with explainable artificial intelligence
José Jiménez-Luna, Francesca Grisoni, Gisbert Schneider
http://arxiv.org/abs/2007.00523v2
• [cs.AI]Higher-order Logic as Lingua Franca — Integrating Argumentative Discourse and Deep Logical Analysis
David Fuenmayor, Christoph Benzmüller
http://arxiv.org/abs/2007.01019v1
• [cs.AI]Medical idioms for clinical Bayesian network development
Evangelia Kyrimi, Mariana Raniere Neves, Scott McLachlan, Martin Neil, William Marsh, Norman Fenton
http://arxiv.org/abs/2007.00364v2
• [cs.AI]Quantifying causal contribution via structure preserving interventions
Dominik Janzing, Patrick Blöbaum, Lenon Minorics
http://arxiv.org/abs/2007.00714v1
• [cs.AI]Signature-Based Abduction for Expressive Description Logics — Technical Report
Patrick Koopmann, Warren Del-Pinto, Sophie Tourret, Renate A. Schmidt
http://arxiv.org/abs/2007.00757v1
• [cs.AI]Unifying Model Explainability and Robustness via Machine-Checkable Concepts
Vedant Nanda, Till Speicher, John P. Dickerson, Krishna P. Gummadi, Muhammad Bilal Zafar
http://arxiv.org/abs/2007.00251v2
• [cs.AI]Verifiably Safe Exploration for End-to-End Reinforcement Learning
Nathan Hunt, Nathan Fulton, Sara Magliacane, Nghia Hoang, Subhro Das, Armando Solar-Lezama
http://arxiv.org/abs/2007.01223v1
• [cs.AI]Verification of indefinite-horizon POMDPs
Alexander Bork, Sebastian Junges, Joost-Pieter Katoen, Tim Quatmann
http://arxiv.org/abs/2007.00102v1
• [cs.AR]Efficient Communication Acceleration for Next-GenScale-up Deep Learning Training Platforms
Saeed Rashidi, Srinivas Sridharan, Sudarshan Srinivasan, Matthew Denton, Tushar Krishna
http://arxiv.org/abs/2007.00156v2
• [cs.AR]Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights
Shail Dave, Riyadh Baghdadi, Tony Nowatzki, Sasikanth Avancha, Aviral Shrivastava, Baoxin Li
http://arxiv.org/abs/2007.00864v1
• [cs.CL]Bidirectional Encoder Representations from Transformers (BERT): A sentiment analysis odyssey
Shivaji Alaparthi, Manit Mishra
http://arxiv.org/abs/2007.01127v1
• [cs.CL]Can We Achieve More with Less? Exploring Data Augmentation for Toxic Comment Classification
Chetanya Rastogi, Nikka Mofid, Fang-I Hsiao
http://arxiv.org/abs/2007.00875v1
• [cs.CL]Fact-based Text Editing
Hayate Iso, Chao Qiao, Hang Li
http://arxiv.org/abs/2007.00916v1
• [cs.CL]Facts as Experts: Adaptable and Interpretable Neural Memory over Symbolic Knowledge
Pat Verga, Haitian Sun, Livio Baldini Soares, William W. Cohen
http://arxiv.org/abs/2007.00849v1
• [cs.CL]IIE-NLP-NUT at SemEval-2020 Task 4: Guiding PLM with Prompt Template Reconstruction Strategy for ComVE
Luxi Xing, Yuqiang Xie, Yue Hu, Wei Peng
http://arxiv.org/abs/2007.00924v1
• [cs.CL]Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering
Gautier Izacard, Edouard Grave
http://arxiv.org/abs/2007.01282v1
• [cs.CL]Lightme: Analysing Language in Internet Support Groups for Mental Health
Gabriela Ferraro, Brendan Loo-Gee, Shenjia Ji, Luis Salvador-Carulla
http://arxiv.org/abs/2007.00824v1
• [cs.CL]NLNDE: Enhancing Neural Sequence Taggers with Attention and Noisy Channel for Robust Pharmacological Entity Detection
Lukas Lange, Heike Adel, Jannik Strötgen
http://arxiv.org/abs/2007.01022v1
• [cs.CL]NLNDE: The Neither-Language-Nor-Domain-Experts’ Way of Spanish Medical Document De-Identification
Lukas Lange, Heike Adel, Jannik Strötgen
http://arxiv.org/abs/2007.01030v1
• [cs.CL]Processing South Asian Languages Written in the Latin Script: the Dakshina Dataset
Brian Roark, Lawrence Wolf-Sonkin, Christo Kirov, Sabrina J. Mielke, Cibu Johny, Isin Demirsahin, Keith Hall
http://arxiv.org/abs/2007.01176v1
• [cs.CL]Project PIAF: Building a Native French Question-Answering Dataset
Rachel Keraron, Guillaume Lancrenon, Mathilde Bras, Frédéric Allary, Gilles Moyse, Thomas Scialom, Edmundo-Pavel Soriano-Morales, Jacopo Staiano
http://arxiv.org/abs/2007.00968v1
• [cs.CL]Relevance-guided Supervision for OpenQA with ColBERT
Omar Khattab, Christopher Potts, Matei Zaharia
http://arxiv.org/abs/2007.00814v1
• [cs.CL]Sequential Domain Adaptation through Elastic Weight Consolidation for Sentiment Analysis
Avinash Madasu, Vijjini Anvesh Rao
http://arxiv.org/abs/2007.01189v1
• [cs.CR]Proofs of Useless Work — Positive and Negative Results for Wasteless Mining Systems
Maya Dotan, Saar Tochner
http://arxiv.org/abs/2007.01046v1
• [cs.CR]Zooming Into Video Conferencing Privacy and Security Threats
Dima Kagan, Galit Fuhrmann Alpert, Michael Fire
http://arxiv.org/abs/2007.01059v1
• [cs.CV]A Closer Look at Local Aggregation Operators in Point Cloud Analysis
Ze Liu, Han Hu, Yue Cao, Zheng Zhang, Xin Tong
http://arxiv.org/abs/2007.01294v1
• [cs.CV]A deep primal-dual proximal network for image restoration
Mingyuan Jiu, Nelly Pustelnik
http://arxiv.org/abs/2007.00959v1
• [cs.CV]ACFD: Asymmetric Cartoon Face Detector
Bin Zhang, Jian Li, Yabiao Wang, Zhipeng Cui, Yili Xia, Chengjie Wang, Jilin Li, Feiyue Huang
http://arxiv.org/abs/2007.00899v1
• [cs.CV]Age-Oriented Face Synthesis with Conditional Discriminator Pool and Adversarial Triplet Loss
Haoyi Wang, Victor Sanchez, Chang-Tsun Li
http://arxiv.org/abs/2007.00792v1
• [cs.CV]Are there any ‘object detectors’ in the hidden layers of CNNs trained to identify objects or scenes?
Ella M. Gale, Nicholas Martin, Ryan Blything, Anh Nguyen, Jeffrey S. Bowers
http://arxiv.org/abs/2007.01062v1
• [cs.CV]Attention-Oriented Action Recognition for Real-Time Human-Robot Interaction
Ziyang Song, Ziyi Yin, Zejian Yuan, Chong Zhang, Wanchao Chi, Yonggen Ling, Shenghao Zhang
http://arxiv.org/abs/2007.01065v1
• [cs.CV]Automatic Page Segmentation Without Decompressing the Run-Length Compressed Text Documents
Mohammed Javed, P. Nagabhushan
http://arxiv.org/abs/2007.01142v1
• [cs.CV]ConFoc: Content-Focus Protection Against Trojan Attacks on Neural Networks
Miguel Villarreal-Vasquez, Bharat Bhargava
http://arxiv.org/abs/2007.00711v1
• [cs.CV]Curriculum Manager for Source Selection in Multi-Source Domain Adaptation
Luyu Yang, Yogesh Balaji, Ser-Nam Lim, Abhinav Shrivastava
http://arxiv.org/abs/2007.01261v1
• [cs.CV]Deep Single Image Manipulation
Yael Vinker, Eliahu Horwitz, Nir Zabari, Yedid Hoshen
http://arxiv.org/abs/2007.01289v1
• [cs.CV]Estimating Blink Probability for Highlight Detection in Figure Skating Videos
Tamami Nakano, Atsuya Sakata, Akihiro Kishimoto
http://arxiv.org/abs/2007.01089v1
• [cs.CV]Globally Optimal Segmentation of Mutually Interacting Surfaces using Deep Learning
Hui Xie, Zhe Pan, Leixin Zhou, Fahim A Zaman, Danny Chen, Jost B Jonas, Yaxing Wang, Xiaodong Wu
http://arxiv.org/abs/2007.01259v1
• [cs.CV]Image Analysis Based on Nonnegative/Binary Matrix Factorization
Hinako Asaoka, Kazue Kudo
http://arxiv.org/abs/2007.00889v1
• [cs.CV]JUMPS: Joints Upsampling Method for Pose Sequences
Lucas Mourot, François Le Clerc, Cédric Thébault, Pierre Hellier
http://arxiv.org/abs/2007.01151v1
• [cs.CV]Learning Geocentric Object Pose in Oblique Monocular Images
Gordon Christie, Rodrigo Rene Rai Munoz Abujder, Kevin Foster, Shea Hagstrom, Gregory D. Hager, Myron Z. Brown
http://arxiv.org/abs/2007.00729v1
• [cs.CV]Learning ordered pooling weights in image classification
J. I. Forcen, Miguel Pagola, Edurne Barrenechea, Humberto Bustince
http://arxiv.org/abs/2007.01243v1
• [cs.CV]Low-light Environment Neural Surveillance
Michael Potter, Henry Gridley, Noah Lichtenstein, Kevin Hines, John Nguyen, Jacob Walsh
http://arxiv.org/abs/2007.00843v1
• [cs.CV]MSA-MIL: A deep residual multiple instance learning model based on multi-scale annotation for classification and visualization of glomerular spikes
Yilin Chen, Ming Li, Yongfei Wu, Xueyu Liu, Fang Hao, Daoxiang Zhou, Xiaoshuang Zhou, Chen Wang
http://arxiv.org/abs/2007.00858v1
• [cs.CV]Mining and Tailings Dam Detection In Satellite Imagery Using Deep Learning
Remis Balaniuk, Olga Isupova, Steven Reece
http://arxiv.org/abs/2007.01076v1
• [cs.CV]Motion Prediction in Visual Object Tracking
Jianren Wang, Yihui He
http://arxiv.org/abs/2007.01120v1
• [cs.CV]Multiclass Classification with an Ensemble of Binary Classification Deep Networks
Abdul Mueed Hafiz, Ghulam Mohiuddin Bhat
http://arxiv.org/abs/2007.01192v1
• [cs.CV]Noticing Motion Patterns: Temporal CNN with a Novel Convolution Operator for Human Trajectory Prediction
Dapeng Zhao, Jean Oh
http://arxiv.org/abs/2007.00862v1
• [cs.CV]Object Goal Navigation using Goal-Oriented Semantic Exploration
Devendra Singh Chaplot, Dhiraj Gandhi, Abhinav Gupta, Ruslan Salakhutdinov
http://arxiv.org/abs/2007.00643v2
• [cs.CV]PerceptionGAN: Real-world Image Construction from Provided Text through Perceptual Understanding
Kanish Garg, Ajeet kumar Singh, Dorien Herremans, Brejesh Lall
http://arxiv.org/abs/2007.00977v1
• [cs.CV]Query-Free Adversarial Transfer via Undertrained Surrogates
Chris Miller, Soroush Vosoughi
http://arxiv.org/abs/2007.00806v1
• [cs.CV]RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces
Sebastien Ehrhardt, Oliver Groth, Aron Monszpart, Martin Engelcke, Ingmar Posner, Niloy Mitra, Andrea Vedaldi
http://arxiv.org/abs/2007.01272v1
• [cs.CV]RGB-D-based Framework to Acquire, Visualize and Measure the Human Body for Dietetic Treatments
Andrés Fuster-Guilló, Jorge Azorín-López, Marcelo Saval-Calvo, Juan Miguel Castillo-Zaragoza, Nahuel Garcia-DUrso, Robert B Fisher
http://arxiv.org/abs/2007.00981v1
• [cs.CV]ReXNet: Diminishing Representational Bottleneck on Convolutional Neural Network
Dongyoon Han, Sangdoo Yun, Byeongho Heo, YoungJoon Yoo
http://arxiv.org/abs/2007.00992v1
• [cs.CV]Self-supervised Deep Reconstruction of Mixed Strip-shredded Text Documents
Thiago M. Paixão, Rodrigo F. Berriel, Maria C. S. Boeres, Alessandro L. Koerich, Claudine Badue, Alberto F. de Souza, Thiago Oliveira-Santos
http://arxiv.org/abs/2007.00779v1
• [cs.CV]The Impact of Explanations on AI Competency Prediction in VQA
Kamran Alipour, Arijit Ray, Xiao Lin, Jurgen P. Schulze, Yi Yao, Giedrius T. Burachas
http://arxiv.org/abs/2007.00900v1
• [cs.CV]TiledSoilingNet: Tile-level Soiling Detection on Automotive Surround-view Cameras Using Coverage Metric
Arindam Das, Pavel Krizek, Ganesh Sistu, Fabian Burger, Sankaralingam Madasamy, Michal Uricar, Varun Ravi Kumar, Senthil Yogamani
http://arxiv.org/abs/2007.00801v1
• [cs.CV]Understanding Road Layout from Videos as a Whole
Buyu Liu, Bingbing Zhuang, Samuel Schulter, Pan Ji, Manmohan Chandraker
http://arxiv.org/abs/2007.00822v1
• [cs.CV]Virtual Testbed for Monocular Visual Navigation of Small Unmanned Aircraft Systems
Kyung Kim, Robert C. Leishman, Scott L. Nykl
http://arxiv.org/abs/2007.00737v1
• [cs.CV]Weakly Supervised Segmentation with Multi-scale Adversarial Attention Gates
Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris
http://arxiv.org/abs/2007.01152v1
• [cs.CV]Weakly-Supervised Segmentation for Disease Localization in Chest X-Ray Images
Ostap Viniavskyi, Mariia Dobko, Oles Dobosevych
http://arxiv.org/abs/2007.00748v1
• [cs.CY]Build2Vec: Building Representation in Vector Space
Mahmoud Abdelrahman, Adrian Chong, Clayton Miller
http://arxiv.org/abs/2007.00740v1
• [cs.CY]Evolving Methods for Evaluating and Disseminating Computing Research
Benjamin Zorn, Tom Conte, Keith Marzullo, Suresh Venkatasubramanian
http://arxiv.org/abs/2007.01242v1
• [cs.CY]Legends: Folklore on Reddit
Caitrin Armstrong, Derek Ruths
http://arxiv.org/abs/2007.00750v1
• [cs.CY]Random errors are not politically neutral
Michelle Blom, Andrew Conway, Peter J. Stuckey, Vanessa Teague, Damjan Vukcevic
http://arxiv.org/abs/2007.00854v1
• [cs.CY]Response by the Montreal AI Ethics Institute to the Santa Clara Principles on Transparency and Accountability in Online Content Moderation
Marianna Bergamaschi Ganapini, Camylle Lanteigne, Abhishek Gupta
http://arxiv.org/abs/2007.00700v1
• [cs.CY]The use of personal data in French public services: applications, e-mails, websites, apps
Hugo Courté, Titouan-Joseph Revol, Clément Lagneau-Donzelle, Albert Nicolás López
http://arxiv.org/abs/2007.01074v1
• [cs.CY]Towards Data-Driven Affirmative Action Policies under Uncertainty
Corinna Hertweck, Carlos Castillo, Michael Mathioudakis
http://arxiv.org/abs/2007.01202v1
• [cs.DC]Automatic Horizontal Fusion for GPU Kernels
Ao Li, Bojian Zheng, Gennady Pekhimenko, Fan Long
http://arxiv.org/abs/2007.01277v1
• [cs.DC]DAPPLE: A Pipelined Data Parallel Approach for Training Large Models
Shiqing Fan, Yi Rong, Chen Meng, Zongyan Cao, Siyu Wang, Zhen Zheng, Chuan Wu, Guoping Long, Jun Yang, Lixue Xia, Lansong Diao, Xiaoyong Liu, Wei Lin
http://arxiv.org/abs/2007.01045v1
• [cs.DC]Efficient Generation of Mandelbrot Set using Message Passing Interface
Bhanuka Manesha Samarasekara Vitharana Gamage, Vishnu Monn Baskaran
http://arxiv.org/abs/2007.00745v1
• [cs.DC]Enhancing Autonomy with Blockchain and Multi-Access Edge Computing in Distributed Robotic Systems
Jorge Peña Queralta, Li Qingqing, Zhuo Zou, Tomi Westerlund
http://arxiv.org/abs/2007.01156v1
• [cs.DC]Fast Hybrid Network Algorithms for Shortest Paths in Sparse Graphs
Michael Feldmann, Kristian Hinnenthal, Christian Scheideler
http://arxiv.org/abs/2007.01191v1
• [cs.DC]GSoFa: Scalable Sparse LU Symbolic Factorization on GPUs
Anil Gaihre, Xiaoye S. Li, Hang Liu
http://arxiv.org/abs/2007.00840v1
• [cs.DC]S2CE: A Hybrid Cloud and Edge Orchestrator for Mining Exascale Distributed Streams
Nicolas Kourtellis, Herodotos Herodotou, Maciej Grzenda, Piotr Wawrzyniak, Albert Bifet
http://arxiv.org/abs/2007.01260v1
• [cs.DC]Simulation and Analysis of Distributed Wireless Sensor Network using Message Passing Interface
Bhanuka Manesha Samarasekara Vitharana Gamage, Vishnu Monn Baskaran
http://arxiv.org/abs/2007.00754v1
• [cs.DS]Adapting $k$-means algorithms for outliers
Christoph Grunau, Václav Rozhoň
http://arxiv.org/abs/2007.01118v1
• [cs.DS]Parallel Planar Subgraph Isomorphism and Vertex Connectivity
Lukas Gianinazzi, Torsten Hoefler
http://arxiv.org/abs/2007.01199v1
• [cs.GR]ADD: Analytically Differentiable Dynamics for Multi-Body Systems with Frictional Contact
Moritz Geilinger, David Hahn, Jonas Zehnder, Moritz Bächer, Bernhard Thomaszewski, Stelian Coros
http://arxiv.org/abs/2007.00987v1
• [cs.GR]Surface Denoising based on Normal Filtering in a Robust Statistics Framework
Sunil Kumar Yadav, Martin Skrodzki, Eric Zimmermann, Konrad Polthier
http://arxiv.org/abs/2007.00842v1
• [cs.IR]Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval
Lee Xiong, Chenyan Xiong, Ye Li, Kwok-Fung Tang, Jialin Liu, Paul Bennett, Junaid Ahmed, Arnold Overwijk
http://arxiv.org/abs/2007.00808v1
• [cs.IR]Climbing the WOL: Training for Cheaper Inference
Zichang Liu, Zhaozhuo Xu, Alan Ji, Jonathan Li, Beidi Chen, Anshumali Shrivastava
http://arxiv.org/abs/2007.01230v1
• [cs.IR]Computing Conceptual Distances between Breast Cancer Screening Guidelines: An Implementation of a Near-Peer Epistemic Model ofMedical Disagreement
Hossein Hematialam, Luciana Garbayo, Seethalakshmi Gopalakrishnan, Wlodek Zadrozny
http://arxiv.org/abs/2007.00709v1
• [cs.IR]How circular economy and industrial ecology concepts are intertwined? A bibliometric and text mining analysis
Michael Saidani, Bernard Yannou, Yann Leroy, François Cluzel, Harrison Kim
http://arxiv.org/abs/2007.00927v1
• [cs.IR]Multi-sided Exposure Bias in Recommendation
Himan Abdollahpouri, Masoud Mansoury
http://arxiv.org/abs/2006.15772v2
• [cs.IT]A Survey of Prototype and Experiment for UAV Communications
Qingheng Song, Yong Zeng, Jie Xu, Shi Jin
http://arxiv.org/abs/2007.00905v1
• [cs.IT]Adaptive Scheduling and Trajectory Design for Power-Constrained Wireless UAV Relays
Matthew Bliss, Nicolò Michelusi
http://arxiv.org/abs/2007.01228v1
• [cs.IT]Cache-Aided Matrix Multiplication Retrieval
Kai Wan, Hua Sun, Mingyue Ji, Daniela Tuninetti, Giuseppe Caire
http://arxiv.org/abs/2007.00856v1
• [cs.IT]Deep Learning Methods for Universal MISO Beamforming
Junbeom Kim, Hoon Lee, Seung-Eun Hong, Seok-Hwan Park
http://arxiv.org/abs/2007.00841v1
• [cs.IT]Efficient Hybrid Beamforming with Anti-Blockage Design for High-Speed Railway Communications
Meilin Gao, Bo Ai, Yong Niu, Wen Wu, Peng Yang, Feng Lyu, Xuemin, Shen
http://arxiv.org/abs/2007.00857v1
• [cs.IT]Entanglement-Assisted Quantum Error Correcting Codes From RS Codes and BCH Codes with Extension Degree 2
Carlos Galindo, Fernando Hernando, Diego Ruano
http://arxiv.org/abs/2007.01113v1
• [cs.IT]Reconfigurable Intelligent Surface Assisted Device-to-Device Communications
Yali Chen, Bo Ai, Hongliang Zhang, Yong Niu, Lingyang Song, Zhu Han, H. Vincent Poor
http://arxiv.org/abs/2007.00859v1
• [cs.IT]Signal Encryption Strategy based on Domain change of the Fractional Fourier Transform
Wei Chen, Zunwei Fu, Loukas Grafakos, Yue Wu
http://arxiv.org/abs/2007.00957v1
• [cs.IT]Wireless Communication through Frequency Modulating Reflective Intelligent Surfaces
Jide Yuan, Elisabeth De Carvalho, Petar Popovski
http://arxiv.org/abs/2007.01085v1
• [cs.LG]A Brief Review of Deep Multi-task Learning and Auxiliary Task Learning
Partoo Vafaeikia, Khashayar Namdar, Farzad Khalvati
http://arxiv.org/abs/2007.01126v1
• [cs.LG]A Perspective on Gaussian Processes for Earth Observation
Gustau Camps-Valls, Dino Sejdinovic, Jakob Runge, Markus Reichstein
http://arxiv.org/abs/2007.01238v1
• [cs.LG]A Revision of Neural Tangent Kernel-based Approaches for Neural Networks
Kyung-Su Kim, Aurélie C. Lozano, Eunho Yang
http://arxiv.org/abs/2007.00884v1
• [cs.LG]A Semi-Supervised Generative Adversarial Network for Prediction of Genetic Disease Outcomes
Caio Davi, Ulisses Braga-Neto
http://arxiv.org/abs/2007.01200v1
• [cs.LG]A Survey on Self-supervised Pre-training for Sequential Transfer Learning in Neural Networks
Huanru Henry Mao
http://arxiv.org/abs/2007.00800v1
• [cs.LG]Accelerated Message Passing for Entropy-Regularized MAP Inference
Jonathan N. Lee, Aldo Pacchiano, Peter Bartlett, Michael I. Jordan
http://arxiv.org/abs/2007.00699v1
• [cs.LG]Adaptive Discretization for Model-Based Reinforcement Learning
Sean R. Sinclair, Tianyu Wang, Gauri Jain, Siddhartha Banerjee, Christina Lee Yu
http://arxiv.org/abs/2007.00717v1
• [cs.LG]Adversarial Example Games
Avishek Joey Bose, Gauthier Gidel, Hugo Berrard, Andre Cianflone, Pascal Vincent, Simon Lacoste-Julien, William L. Hamilton
http://arxiv.org/abs/2007.00720v1
• [cs.LG]AutoBayes: Automated Inference via Bayesian Graph Exploration for Nuisance-Robust Biosignal Analysis
Andac Demir, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus
http://arxiv.org/abs/2007.01255v1
• [cs.LG]BOSH: Bayesian Optimization by Sampling Hierarchically
Henry B. Moss, David S. Leslie, Paul Rayson
http://arxiv.org/abs/2007.00939v1
• [cs.LG]Bandit Linear Control
Asaf Cassel, Tomer Koren
http://arxiv.org/abs/2007.00759v1
• [cs.LG]Bayesian tensor learning for structural monitoring data imputation and response forecasting
Pu Ren, Hao Sun
http://arxiv.org/abs/2007.00790v1
• [cs.LG]Beyond Signal Propagation: Is Feature Diversity Necessary in Deep Neural Network Initialization?
Yaniv Blumenfeld, Dar Gilboa, Daniel Soudry
http://arxiv.org/abs/2007.01038v1
• [cs.LG]BusTr: Predicting Bus Travel Times from Real-Time Traffic
Richard Barnes, Senaka Buthpitiya, James Cook, Alex Fabrikant, Andrew Tomkins, Fangzhou Xu
http://arxiv.org/abs/2007.00882v1
• [cs.LG]Compressed Sensing via Measurement-Conditional Generative Models
Kyung-Su Kim, Jung Hyun Lee, Eunho Yang
http://arxiv.org/abs/2007.00873v1
• [cs.LG]Consistent Structured Prediction with Max-Min Margin Markov Networks
Alex Nowak-Vila, Francis Bach, Alessandro Rudi
http://arxiv.org/abs/2007.01012v1
• [cs.LG]Convolutional Neural Network Training with Distributed K-FAC
J. Gregory Pauloski, Zhao Zhang, Lei Huang, Weijia Xu, Ian T. Foster
http://arxiv.org/abs/2007.00784v1
• [cs.LG]Deep Learning Defenses Against Adversarial Examples for Dynamic Risk Assessment
Xabier Echeberria-Barrio, Amaia Gil-Lerchundi, Ines Goicoechea-Telleria, Raul Orduna-Urrutia
http://arxiv.org/abs/2007.01017v1
• [cs.LG]Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review
Marjane Khodatars, Afshin Shoeibi, Navid Ghassemi, Mahboobeh Jafari, Ali Khadem, Delaram Sadeghi, Parisa Moridian, Sadiq Hussain, Roohallah Alizadehsani, Assef Zare, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya, Michael Berk, Dipti Srinivasan
http://arxiv.org/abs/2007.01285v1
• [cs.LG]Deep brain state classification of MEG data
Ismail Alaoui Abdellaoui, Jesús García Fernández, Caner Şahinli, Siamak Mehrkanoon
http://arxiv.org/abs/2007.00897v1
• [cs.LG]Efficient Proximal Mapping of the 1-path-norm of Shallow Networks
Fabian Latorre, Paul Rolland, Nadav Hallak, Volkan Cevher
http://arxiv.org/abs/2007.01003v1
• [cs.LG]Epileptic seizure detection using deep learning techniques: A Review
Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Mahboobeh Jafari, Sadiq Hussain, Roohallah Alizadehsani, Parisa Moridian, Abbas Khosravi, Hossein Hosseini-Nejad, Modjtaba Rouhani, Assef Zare, Saeid Nahavandi, Dipti Srinivasan, Amir F. Atiya, U. Rajendra Acharya
http://arxiv.org/abs/2007.01276v1
• [cs.LG]Exponentially Weighted l_2 Regularization Strategy in Constructing Reinforced Second-order Fuzzy Rule-based Model
Congcong Zhang, Sung-Kwun Oh, Witold Pedrycz, Zunwei Fu, Shanzhen Lu
http://arxiv.org/abs/2007.01208v1
• [cs.LG]Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy
Nuria Rodríguez-Barroso, Goran Stipcich, Daniel Jiménez-López, José Antonio Ruiz-Millán, Eugenio Martínez-Cámara, Gerardo González-Seco, M. Victoria Luzón, Miguel Ángel Veganzones, Francisco Herrera
http://arxiv.org/abs/2007.00914v1
• [cs.LG]Federated Learning with Compression: Unified Analysis and Sharp Guarantees
Farzin Haddadpour, Mohammad Mahdi Kamani, Aryan Mokhtari, Mehrdad Mahdavi
http://arxiv.org/abs/2007.01154v1
• [cs.LG]Go Wide, Then Narrow: Efficient Training of Deep Thin Networks
Denny Zhou, Mao Ye, Chen Chen, Tianjian Meng, Mingxing Tan, Xiaodan Song, Quoc Le, Qiang Liu, Dale Schuurmans
http://arxiv.org/abs/2007.00811v1
• [cs.LG]Hierarchically-Organized Latent Modules for Exploratory Search in Morphogenetic Systems
Mayalen Etcheverry, Clement Moulin-Frier, Pierre-Yves Oudeyer
http://arxiv.org/abs/2007.01195v1
• [cs.LG]Improved Bounds on Minimax Regret under Logarithmic Loss via Self-Concordance
Blair Bilodeau, Dylan J. Foster, Daniel M. Roy
http://arxiv.org/abs/2007.01160v1
• [cs.LG]In-Distribution Interpretability for Challenging Modalities
Cosmas Heiß, Ron Levie, Cinjon Resnick, Gitta Kutyniok, Joan Bruna
http://arxiv.org/abs/2007.00758v1
• [cs.LG]Iterative Bounding Box Annotation for Object Detection
Bishwo Adhikari, Heikki Huttunen
http://arxiv.org/abs/2007.00961v1
• [cs.LG]Laplacian Change Point Detection for Dynamic Graphs
Shenyang Huang, Yasmeen Hitti, Guillaume Rabusseau, Reihaneh Rabbany
http://arxiv.org/abs/2007.01229v1
• [cs.LG]Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score
Zhiliang Wu, Yinchong Yang, Yunpu Ma, Yushan Liu, Rui Zhao, Michael Moor, Volker Tresp
http://arxiv.org/abs/2007.01083v1
• [cs.LG]Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search
Linnan Wang, Rodrigo Fonseca, Yuandong Tian
http://arxiv.org/abs/2007.00708v1
• [cs.LG]Learning to Read through Machine Teaching
Ayon Sen, Christopher R. Cox, Matthew Cooper Borkenhagen, Mark S. Seidenberg, Xiaojin Zhu
http://arxiv.org/abs/2006.16470v2
• [cs.LG]Learning to search efficiently for causally near-optimal treatments
Samuel Håkansson, Viktor Lindblom, Omer Gottesman, Fredrik D. Johansson
http://arxiv.org/abs/2007.00973v1
• [cs.LG]MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain Diseases
Junhao Wen, Erdem Varol, Ganesh Chand, Aristeidis Sotiras, Christos Davatzikos
http://arxiv.org/abs/2007.00812v1
• [cs.LG]MPLP: Learning a Message Passing Learning Protocol
Ettore Randazzo, Eyvind Niklasson, Alexander Mordvintsev
http://arxiv.org/abs/2007.00970v1
• [cs.LG]Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning
Zhongzheng Ren, Raymond A. Yeh, Alexander G. Schwing
http://arxiv.org/abs/2007.01293v1
• [cs.LG]On Dropout, Overfitting, and Interaction Effects in Deep Neural Networks
Benjamin Lengerich, Eric P. Xing, Rich Caruana
http://arxiv.org/abs/2007.00823v1
• [cs.LG]On the Outsized Importance of Learning Rates in Local Update Methods
Zachary Charles, Jakub Konečný
http://arxiv.org/abs/2007.00878v1
• [cs.LG]Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey
Samuel Henrique Silva, Peyman Najafirad
http://arxiv.org/abs/2007.00753v1
• [cs.LG]Outlier Detection through Null Space Analysis of Neural Networks
Matthew Cook, Alina Zare, Paul Gader
http://arxiv.org/abs/2007.01263v1
• [cs.LG]Partial Trace Regression and Low-Rank Kraus Decomposition
Hachem Kadri, Stéphane Ayache, Riikka Huusari, Alain Rakotomamonjy, Liva Ralaivola
http://arxiv.org/abs/2007.00935v1
• [cs.LG]Policy Improvement from Multiple Experts
Ching-An Cheng, Andrey Kolobov, Alekh Agarwal
http://arxiv.org/abs/2007.00795v1
• [cs.LG]Private Optimization Without Constraint Violations
Andrés Muñoz, Umar Syed, Sergei Vassilvitskii, Ellen Vitercik
http://arxiv.org/abs/2007.01181v1
• [cs.LG]PrototypeML: A Neural Network Integrated Design and Development Environment
Daniel Reiss Harris
http://arxiv.org/abs/2007.01097v1
• [cs.LG]Quantum Ensemble for Classification
Antonio Macaluso, Luca Clissa, Stefano Lodi, Claudio Sartori
http://arxiv.org/abs/2007.01028v1
• [cs.LG]Relating by Contrasting: A Data-efficient Framework for Multimodal Generative Models
Yuge Shi, Brooks Paige, Philip H. S. Torr, N. Siddharth
http://arxiv.org/abs/2007.01179v1
• [cs.LG]Rethink Maximum Mean Discrepancy for Domain Adaptation
Wei Wang, Haojie Li, Zhengming Ding, Zhihui Wang
http://arxiv.org/abs/2007.00689v1
• [cs.LG]Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch
Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Volkan Cevher
http://arxiv.org/abs/2007.01174v1
• [cs.LG]Robust Learning against Logical Adversaries
Yizhen Wang, Xiaozhu Meng, Mihai Christodorescu, Somesh Jha
http://arxiv.org/abs/2007.00772v1
• [cs.LG]Scene Graph Reasoning for Visual Question Answering
Marcel Hildebrandt, Hang Li, Rajat Koner, Volker Tresp, Stephan Günnemann
http://arxiv.org/abs/2007.01072v1
• [cs.LG]Sequential Transfer in Reinforcement Learning with a Generative Model
Andrea Tirinzoni, Riccardo Poiani, Marcello Restelli
http://arxiv.org/abs/2007.00722v1
• [cs.LG]Sliced Iterative Generator
Biwei Dai, Uros Seljak
http://arxiv.org/abs/2007.00674v1
• [cs.LG]Software Engineering Event Modeling using Relative Time in Temporal Knowledge Graphs
Kian Ahrabian, Daniel Tarlow, Hehuimin Cheng, Jin L. C. Guo
http://arxiv.org/abs/2007.01231v1
• [cs.LG]Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location
Rasheed el-Bouri, David Eyre, Peter Watkinson, Tingting Zhu, David Clifton
http://arxiv.org/abs/2007.01135v1
• [cs.LG]Tilted Empirical Risk Minimization
Tian Li, Ahmad Beirami, Maziar Sanjabi, Virginia Smith
http://arxiv.org/abs/2007.01162v1
• [cs.LG]ε-BMC: A Bayesian Ensemble Approach to Epsilon-Greedy Exploration in Model-Free Reinforcement Learning
Michael Gimelfarb, Scott Sanner, Chi-Guhn Lee
http://arxiv.org/abs/2007.00869v1
• [cs.MA]Modelling heterogeneous outcomes in multi-agent systems
Orowa Sikder
http://arxiv.org/abs/2007.01077v1
• [cs.NE]A Novel DNN Training Framework via Data Sampling and Multi-Task Optimization
Boyu Zhang, A. K. Qin, Hong Pan, Timos Sellis
http://arxiv.org/abs/2007.01016v1
• [cs.NE]High Dimensional Bayesian Optimization Assisted by Principal Component Analysis
Elena Raponi, Hao Wang, Mariusz Bujny, Simonetta Boria, Carola Doerr
http://arxiv.org/abs/2007.00925v1
• [cs.NE]Progressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networks
Jibin Wu, Chenglin Xu, Daquan Zhou, Haizhou Li, Kay Chen Tan
http://arxiv.org/abs/2007.01204v1
• [cs.RO]A Learning-Driven Framework with Spatial Optimization For Surgical Suture Thread Reconstruction and Autonomous Grasping Under Multiple Topologies and Environmental Noises
Bo Lu, Wei Chen, Yue-Ming Jin, Dandan Zhang, Qi Dou, Henry K. Chu, Pheng-Ann Heng, Yun-Hui Liu
http://arxiv.org/abs/2007.00920v1
• [cs.RO]A New Direction in Firefighting Systems
Elena Ausonio, Patrizia Bagnerini, Marco Ghio
http://arxiv.org/abs/2007.00883v1
• [cs.RO]Achieving Multi-Tasking Robots in Multi-Robot Tasks
Yu Zhang, Winston Smith
http://arxiv.org/abs/2007.00775v1
• [cs.RO]Asynchronous Real-Time Optimization of Footstep Placement and Timing in Bipedal Walking Robots
Digby Chappell, Ke Wang, Petar Kormushev
http://arxiv.org/abs/2007.00385v2
• [cs.RO]Autonomous and cooperative design of the monitor positions for a team of UAVs to maximize the quantity and quality of detected objects
Dimitrios I. Koutras, Athanasios Ch. Kapoutsis, Elias B. Kosmatopoulos
http://arxiv.org/abs/2007.01247v1
• [cs.RO]Control of Walking Assist Exoskeleton with Time-delay Based on the Prediction of Pla
74d
ntar Force
Ming Ding, Mikihisa Nagashima, Sung-Gwi Cho, Jun Takamatsu, Tsukasa Ogasawara
http://arxiv.org/abs/2007.00837v1
• [cs.RO]Deliberate Exploration Supports Navigation in Unfamiliar Worlds
Raj Korpan, Susan L. Epstein
http://arxiv.org/abs/2007.00798v1
• [cs.RO]Design and Analysis of 6-DOF Triple Scissor Extender Robots with Applications in Aircraft Assembly
Daniel J. Gonzalez, H. Harry Asada
http://arxiv.org/abs/2007.00868v1
• [cs.RO]Design of Extra Robotic Legs for Augmenting Human Payload Capabilities by Exploiting Singularity and Torque Redistribution
Daniel J. Gonzalez, H. Harry Asada
http://arxiv.org/abs/2007.00872v1
• [cs.RO]Falsification-Based Robust Adversarial Reinforcement Learning
Xiao Wang, Saasha Nair, Matthias Althoff
http://arxiv.org/abs/2007.00691v1
• [cs.RO]Guidance of Agents in Cyclic Pursuit
Ilana Segall, Alfred Bruckstein
http://arxiv.org/abs/2007.00949v1
• [cs.RO]Human-centered collaborative robots with deep reinforcement learning
Ali Ghadirzadeh, Xi Chen, Wenjie Yin, Zhengrong Yi, Mårten Björkman, Danica Kragic
http://arxiv.org/abs/2007.01009v1
• [cs.RO]Line Walking and Balancing for Legged Robots with Point Feet
Carlos Gonzalez, Victor Barasuol, Marco Frigerio, Roy Featherstone, Darwin G. Caldwell, Claudio Semini
http://arxiv.org/abs/2007.01087v1
• [cs.RO]Localization and Mapping of Sparse Geologic Features with Unpiloted Aircraft Systems
Zhiang Chen, Sarah Bearman, J Ramon Arrowsmith, Jnaneshwar Das
http://arxiv.org/abs/2007.01220v1
• [cs.RO]Towards Generalization and Data Efficient Learning of Deep Robotic Grasping
Zhixin Chen, Mengxiang Lin, Zhixin Jia, Shibo Jian
http://arxiv.org/abs/2007.00982v1
• [cs.RO]Triple Scissor Extender: A 6-DOF Lifting and Positioning Robot
Daniel J. Gonzalez, H. Harry Asada
http://arxiv.org/abs/2007.00866v1
• [cs.SD]Spot the conversation: speaker diarisation in the wild
Joon Son Chung, Jaesung Huh, Arsha Nagrani, Triantafyllos Afouras, Andrew Zisserman
http://arxiv.org/abs/2007.01216v1
• [cs.SE]Testing match-3 video games with Deep Reinforcement Learning
Nicholas Napolitano
http://arxiv.org/abs/2007.01137v1
• [cs.SI]A simple bipartite graph projection model for clustering in networks
Austin R. Benson, Paul Liu, Hao Yin
http://arxiv.org/abs/2007.00761v1
• [cs.SI]Monitoring Depression Trend on Twitter during the COVID-19 Pandemic
Yipeng Zhang, Hanjia Lyu, Yubao Liu, Xiyang Zhang, Yu Wang, Jiebo Luo
http://arxiv.org/abs/2007.00228v2
• [eess.AS]Data Augmenting Contrastive Learning of Speech Representations in the Time Domain
Eugene Kharitonov, Morgane Rivière, Gabriel Synnaeve, Lior Wolf, Pierre-Emmanuel Mazaré, Matthijs Douze, Emmanuel Dupoux
http://arxiv.org/abs/2007.00991v1
• [eess.IV]4D Spatio-Temporal Convolutional Networks for Object Position Estimation in OCT Volumes
Marcel Bengs, Nils Gessert, Alexander Schlaefer
http://arxiv.org/abs/2007.01044v1
• [eess.IV]An encoder-decoder-based method for COVID-19 lung infection segmentation
Omar Elharrouss, Nandhini Subramanian, Somaya Al-Maadeed
http://arxiv.org/abs/2007.00861v1
• [eess.IV]Globally Optimal Surface Segmentation using Deep Learning with Learnable Smoothness Priors
Leixin Zhou, Xiaodong Wu
http://arxiv.org/abs/2007.01217v1
• [eess.IV]Image Processing and Quality Control for Abdominal Magnetic Resonance Imaging in the UK Biobank
Nicolas Basty, Yi Liu, Madeleine Cule, E. Louise Thomas, Jimmy D. Bell, Brandon Whitcher
http://arxiv.org/abs/2007.01251v1
• [eess.IV]PGD-UNet: A Position-Guided Deformable Network for Simultaneous Segmentation of Organs and Tumors
Ziqiang Li, Hong Pan, Yaping Zhu, A. K. Qin
http://arxiv.org/abs/2007.01001v1
• [eess.IV]Rapid tissue oxygenation mapping from snapshot structured-light images with adversarial deep learning
Mason T. Chen, Nicholas J. Durr
http://arxiv.org/abs/2007.00760v1
• [eess.IV]Spectral-Spatial Recurrent-Convolutional Networks for In-Vivo Hyperspectral Tumor Type Classification
Marcel Bengs, Nils Gessert, Wiebke Laffers, Dennis Eggert, Stephan Westermann, Nina A. Mueller, Andreas O. H. Gerstner, Christian Betz, Alexander Schlaefer
http://arxiv.org/abs/2007.01042v1
• [eess.IV]Uncertainty-Guided Efficient Interactive Refinement of Fetal Brain Segmentation from Stacks of MRI Slices
Guotai Wang, Michael Aertsen, Jan Deprest, Sebastien Ourselin, Tom Vercauteren, Shaoting Zhang
http://arxiv.org/abs/2007.00833v1
• [eess.SP]An Implementation of Partial Transmit Sequences to Design Energy Efficient Underwater Acoustic OFDM Communication System
Waleed Raza, Xuefei Ma, Amir Ali, Zubair Ali Shah, Ghazanfar Mehdi
http://arxiv.org/abs/2007.01273v1
• [eess.SP]Balancing Rates and Variance via Adaptive Batch-Size for Stochastic Optimization Problems
Zhan Gao, Alec Koppel, Alejandro Ribeiro
http://arxiv.org/abs/2007.01219v1
• [eess.SP]From Spectrum Wavelet to Vertex Propagation: Graph Convolutional Networks Based on Taylor Approximation
Songyang Zhang, Han Zhang, Shuguang Cui, Zhi Ding
http://arxiv.org/abs/2007.00730v1
• [math.ST]Asymptotic control of FWER under Gaussian assumption: application to correlation tests
Sophie Achard, Pierre Borgnat, Irène Gannaz
http://arxiv.org/abs/2007.00909v1
• [math.ST]Bayesian nonparametric tests for multivariate locations
Indrabati Bhattacharya, Subhashis Ghosal
http://arxiv.org/abs/2007.00568v1
• [math.ST]Double-Loop Unadjusted Langevin Algorithm
Paul Rolland, Armin Eftekhari, Ali Kavis, Volkan Cevher
http://arxiv.org/abs/2007.01147v1
• [math.ST]Learning with tree tensor networks: complexity estimates and model selection
Bertrand Michel, Anthony Nouy
http://arxiv.org/abs/2007.01165v1
• [math.ST]Scalable Monte Carlo Inference and Rescaled Local Asymptotic Normality
Ning Ning, Edward Ionides, Ya’acov Ritov
http://arxiv.org/abs/2007.00723v1
• [nlin.AO]Clusterization and phase diagram of the bimodal Kuramoto model with bounded confidence
André Reggio, Robin Delabays, Philippe Jacquod
http://arxiv.org/abs/2007.01214v1
• [physics.comp-ph]Molecular Latent Space Simulators
Hythem Sidky, Wei Chen, Andrew L. Ferguson
http://arxiv.org/abs/2007.00728v1
• [physics.optics]Deep learning-based holographic polarization microscopy
Tairan Liu, Kevin de Haan, Bijie Bai, Yair Rivenson, Yi Luo, Hongda Wang, David Karalli, Hongxiang Fu, Yibo Zhang, John FitzGerald, Aydogan Ozcan
http://arxiv.org/abs/2007.00741v1
• [q-bio.NC]Modelling Drosophila Motion Vision Pathways for Decoding the Direction of Translating Objects Against Cluttered Moving Backgrounds
Qinbing Fu, Shigang Yue
http://arxiv.org/abs/2007.00886v1
• [q-bio.QM]Machinery Failure Approach and Spectral Analysis to study the Reaction Time Dynamics over Consecutive Visual Stimuli
M. E. Iglesias-Martínez, J. C. Castro-Palacio, P. Fernández-de-Córdoba, J. M. Isidro, E. Navarro-Pardo
http://arxiv.org/abs/2007.00807v1
• [quant-ph]Entanglement-Assisted Quantum Communication Beating the Quantum Singleton Bound
Markus Grassl
http://arxiv.org/abs/2007.01249v1
• [quant-ph]Quantifying causal influences in the presence of a quantum common cause
Mariami Gachechiladze, Nikolai Miklin, Rafael Chaves
http://arxiv.org/abs/2007.01221v1
• [stat.AP]A robust nonlinear mixed-effects model for COVID-19 deaths data
Fernanda L. Schumacher, Clecio S. Ferreira, Marcos O. Prates, Alberto Lachos, Victor H. Lachos
http://arxiv.org/abs/2007.00848v1
• [stat.AP]An Early Warning Approach to Monitor COVID-19 Activity with Multiple Digital Traces in Near Real-Time
Nicole E. Kogan, Leonardo Clemente, Parker Liautaud, Justin Kaashoek, Nicholas B. Link, Andre T. Nguyen, Fred S. Lu, Peter Huybers, Bernd Resch, Clemens Havas, Andreas Petutschnig, Jessica Davis, Matteo Chinazzi, Backtosch Mustafa, William P. Hanage, Alessandro Vespignani, Mauricio Santillana
http://arxiv.org/abs/2007.00756v1
• [stat.AP]Multiple system estimation using covariates having missing values and measurement error: estimating the size of the Māori population in New Zealand
Peter G. M. van der Heijden, Maarten Cruyff, Paul A. Smith, Christine Bycroft, Patrick Graham, Nathaniel Matheson-Dunning
http://arxiv.org/abs/2007.00929v1
• [stat.AP]Pricing service maintenance contracts using predictive analytics
Laurens Deprez, Katrien Antonio, Robert Boute
http://arxiv.org/abs/2007.01171v1
• [stat.CO]Emulation of stochastic simulators using generalized lambda models
X. Zhu, B. Sudret
http://arxiv.org/abs/2007.00996v1
• [stat.ME]A Scale-free Approach for False Discovery Rate Control in Generalized Linear Models
Chenguang Dai, Buyu Lin, Xin Xing, Jun S. Liu
http://arxiv.org/abs/2007.01237v1
• [stat.ME]A hybrid landmark Aalen-Johansen estimator for transition probabilities in partially non-Markov multi-state models
N. Maltzahn, R. Hoff, O. O. Aalen, I. S. Mehlum, H. Putter, J. M. GRAN
http://arxiv.org/abs/2007.00974v1
• [stat.ME]A new measure for the analysis of epidemiological associations: Cannabis use disorder examples
Olga A. Vsevolozhskaya, Karl C. Alcover, James C. Anthony, Dmitri V. Zaykin
http://arxiv.org/abs/2007.01157v1
• [stat.ME]Advances in Statistical Modeling of Spatial Extremes
Raphaël Huser, Jennifer L. Wadsworth
http://arxiv.org/abs/2007.00774v1
• [stat.ME]Bayesian Multivariate Quantile Regression Using Dependent Dirichlet Process Prior
Indrabati Bhattacharya, Subhashis Ghosal
http://arxiv.org/abs/2007.00797v1
• [stat.ME]Contrast Specific Propensity Scores
Shasha Han, Donald Rubin
http://arxiv.org/abs/2007.01253v1
• [stat.ME]Efficient estimation of the ANOVA mean dimension, with an application to neural net classification
Christopher Hoyt, Art B. Owen
http://arxiv.org/abs/2007.01281v1
• [stat.ME]Floodgate: inference for model-free variable importance
Lu Zhang, Lucas Janson
http://arxiv.org/abs/2007.01283v1
• [stat.ME]High-dimensional MANOVA via Bootstrapping and its Application to Functional Data and Sparse Count Data
Zhenhua Lin, Miles E. Lopes, Hans-Georg Müller
http://arxiv.org/abs/2007.01058v1
• [stat.ME]Linear regression and its inference on noisy network-linked data
Can M. Le, Tianxi Li
http://arxiv.org/abs/2007.00803v1
• [stat.ME]On the use of historical estimates
Ori Davidov, Tamas Rudas
http://arxiv.org/abs/2007.01258v1
• [stat.ME]Robust Inference for Mediated Effects in Partially Linear Models
Oliver Hines, Stijn Vansteelandt, Karla Diaz-Ordaz
http://arxiv.org/abs/2007.00725v1
• [stat.ME]Scalable modeling of nonstationary covariance functions with non-folding B-spline deformation
Ronaldo Dias, Guilherme Ludwig, Paul Sampson
http://arxiv.org/abs/2007.00742v1
• [stat.ME]Sliced Inverse Regression for Spatial Data
Christoph Muehlmann, Hannu Oja, Klaus Nordhausen
http://arxiv.org/abs/2007.01010v1
• [stat.ME]Testing for publication bias in meta-analysis under Copas selection model
Rui Duan, Jin Piao, Arielle Marks-Anglin, Jiayi Tong, Lifeng Lin, Haitao Chu, Jing Ning, Yong Chen
http://arxiv.org/abs/2007.00836v1
• [stat.ME]Unlinked monotone regression
Fadoua Balabdaoui, Charles R. Doss, Cécile Durot
http://arxiv.org/abs/2007.00830v1
• [stat.ML]Accurate Characterization of Non-Uniformly Sampled Time Series using Stochastic Differential Equations
Stijn de Waele
http://arxiv.org/abs/2007.01073v1
• [stat.ML]Bayesian Coresets: An Optimization Perspective
Jacky Y. Zhang, Rajiv Khanna, Anastasios Kyrillidis, Oluwasanmi Koyejo
http://arxiv.org/abs/2007.00715v1
• [stat.ML]Decentralized Stochastic Gradient Langevin Dynamics and Hamiltonian Monte Carlo
Mert Gürbüzbalaban, Xuefeng Gao, Yuanhan Hu, Lingjiong Zhu
http://arxiv.org/abs/2007.00590v2
• [stat.ML]Explaining predictive models with mixed features using Shapley values and conditional inference trees
Annabelle Redelmeier, Martin Jullum, Kjersti Aas
http://arxiv.org/abs/2007.01027v1
• [stat.ML]Gamification of Pure Exploration for Linear Bandits
Rémy Degenne, Pierre Ménard, Xuedong Shang, Michal Valko
http://arxiv.org/abs/2007.00953v1
• [stat.ML]Information Theoretic Sample Complexity Lower Bound for Feed-Forward Fully-Connected Deep Networks
Xiaochen Yang, Jean Honorio
http://arxiv.org/abs/2007.00796v1
• [stat.ML]Multi-resolution Super Learner for Voxel-wise Classification of Prostate Cancer Using Multi-parametric MRI
Jin Jin, Lin Zhang, Ethan Leng, Gregory J. Metzger, Joseph S. Koopmeiners
http://arxiv.org/abs/2007.00816v1
• [stat.ML]On Linear Identifiability of Learned Representations
Geoffrey Roeder, Luke Metz, Diederik P. Kingma
http://arxiv.org/abs/2007.00810v1
• [stat.ML]Provably Efficient Neural Estimation of Structural Equation Model: An Adversarial Approach
Luofeng Liao, You-Lin Chen, Zhuoran Yang, Bo Dai, Zhaoran Wang, Mladen Kolar
http://arxiv.org/abs/2007.01290v1
• [stat.ML]Structure Adaptive Algorithms for Stochastic Bandits
Rémy Degenne, Han Shao, Wouter M. Koolen
http://arxiv.org/abs/2007.00969v1
• [stat.ML]Tensor Estimation with Nearly Linear Samples
Christina Lee Yu
http://arxiv.org/abs/2007.00736v1