归档 - 今日学术视野(2020.7.11) - 《爱可可老师分享》

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.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.MA - 多代理系统 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.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 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 math.CO - 组合数学 math.NA - 数值分析 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.MN - 分子网络 q-bio.PE - 人口与发展 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

• [cs.AI]A Generative Graph Method to Solve the Travelling Salesman Problem
• [cs.AI]A Reference Software Architecture for Social Robots
• [cs.AI]Attention or memory? Neurointerpretable agents in space and time
• [cs.AI]Automation Strategies for Unconstrained Crossword Puzzle Generation
• [cs.AI]Explainability of Intelligent Transportation Systems using Knowledge Compilation: a Traffic Light Controller Case
• [cs.AI]Guru, Partner, or Pencil Sharpener? Understanding Designers’ Attitudes Towards Intelligent Creativity Support Tools
• [cs.AI]Learning to Prune Deep Neural Networks via Reinforcement Learning
• [cs.AI]Modified Possibilistic Fuzzy C-Means Algorithm for Clustering Incomplete Data Sets
• [cs.AI]Multi-Granularity Modularized Network for Abstract Visual Reasoning
• [cs.AI]NASGEM: Neural Architecture Search via Graph Embedding Method
• [cs.AI]On the Reliability and Generalizability of Brain-inspired Reinforcement Learning Algorithms
• [cs.AI]Predicting Court Decisions for Alimony: Avoiding Extra-legal Factors in Decision made by Judges and Not Understandable AI Models
• [cs.AI]The Automation of Acceleration: AI and the Future of Society
• [cs.AI]Weakness Analysis of Cyberspace Configuration Based on Reinforcement Learning
• [cs.CL]Automatic Personality Prediction; an Enhanced Method Using Ensemble Modeling
• [cs.CL]Best-First Beam Search
• [cs.CL]CompRes: A Dataset for Narrative Structure in News
• [cs.CL]DISCO PAL: Diachronic Spanish Sonnet Corpus with Psychological and Affective Labels
• [cs.CL]Discourse Coherence, Reference Grounding and Goal Oriented Dialogue
• [cs.CL]Greedy Transition-Based Dependency Parsing with Discrete and Continuous Supertag Features
• [cs.CL]Less is More: Rejecting Unreliable Reviews for Product Question Answering
• [cs.CL]Principal Word Vectors
• [cs.CL]Targeting the Benchmark: On Methodology in Current Natural Language Processing Research
• [cs.CR]Artificial Intelligence and Machine Learning in 5G Network Security: Opportunities, advantages, and future research trends
• [cs.CR]Epidemic Exposure Notification with Smartwatch: A Proximity-Based Privacy-Preserving Approach
• [cs.CV]A Cordial Sync: Going Beyond Marginal Policies for Multi-Agent Embodied Tasks
• [cs.CV]A Deep Joint Sparse Non-negative Matrix Factorization Framework for Identifying the Common and Subject-specific Functional Units of Tongue Motion During Speech
• [cs.CV]AI Assisted Apparel Design
• [cs.CV]Aligning Videos in Space and Time
• [cs.CV]Alleviating the Burden of Labeling: Sentence Generation by Attention Branch Encoder-Decoder Network
• [cs.CV]Animated GIF optimization by adaptive color local table management
• [cs.CV]Anyone here? Smart embedded low-resolution omnidirectional video sensor to measure room occupancy
• [cs.CV]Attention Neural Network for Trash Detection on Water Channels
• [cs.CV]Attention-based Residual Speech Portrait Model for Speech to Face Generation
• [cs.CV]Automated analysis of eye-tracker-based human-human interaction studies
• [cs.CV]Auxiliary Tasks Speed Up Learning PointGoal Navigation
• [cs.CV]Building Robust Industrial Applicable Object Detection Models Using Transfer Learning and Single Pass Deep Learning Architectures
• [cs.CV]Cross-Modal Weighting Network for RGB-D Salient Object Detection
• [cs.CV]Deep Multi-task Learning for Facial Expression Recognition and Synthesis Based on Selective Feature Sharing
• [cs.CV]Deep Placental Vessel Segmentation for Fetoscopic Mosaicking
• [cs.CV]EPI-based Oriented Relation Networks for Light Field Depth Estimation
• [cs.CV]ESA-ReID: Entropy-Based Semantic Feature Alignment for Person re-ID
• [cs.CV]Generalized Many-Way Few-Shot Video Classification
• [cs.CV]Hierarchical nucleation in deep neural networks
• [cs.CV]How low can you go? Privacy-preserving people detection with an omni-directional camera
• [cs.CV]IQ-VQA: Intelligent Visual Question Answering
• [cs.CV]Improving Style-Content Disentanglement in Image-to-Image Translation
• [cs.CV]Inertial Measurements for Motion Compensation in Weight-bearing Cone-beam CT of the Knee
• [cs.CV]JGR-P2O: Joint Graph Reasoning based Pixel-to-Offset Prediction Network for 3D Hand Pose Estimation from a Single Depth Image
• [cs.CV]Long-Term Residual Blending Network for Blur Invariant Single Image Blind deblurring
• [cs.CV]Maximum Entropy Regularization and Chinese Text Recognition
• [cs.CV]Monocular Vision based Crowdsourced 3D Traffic Sign Positioning with Unknown Camera Intrinsics and Distortion Coefficients
• [cs.CV]Not only Look, but also Listen: Learning Multimodal Violence Detection under Weak Supervision
• [cs.CV]Novel Subtypes of Pulmonary Emphysema Based on Spatially-Informed Lung Texture Learning
• [cs.CV]PIE-NET: Paramet
13b7
ric Inference of Point Cloud Edges
• [cs.CV]Patient-Specific Domain Adaptation for Fast Optical Flow Based on Teacher-Student Knowledge Transfer
• [cs.CV]Placepedia: Comprehensive Place Understanding with Multi-Faceted Annotations
• [cs.CV]Point Set Voting for Partial Point Cloud Analysis
• [cs.CV]PointMask: Towards Interpretable and Bias-Resilient Point Cloud Processing
• [cs.CV]Pollen13K: A Large Scale Microscope Pollen Grain Image Dataset
• [cs.CV]Quaternion Capsule Networks
• [cs.CV]Real-time Embedded Person Detection and Tracking for Shopping Behaviour Analysis
• [cs.CV]Searching for Efficient Architecture for Instrument Segmentation in Robotic Surgery
• [cs.CV]SegFix: Model-Agnostic Boundary Refinement for Segmentation
• [cs.CV]Sensor Fusion of Camera and Cloud Digital Twin Information for Intelligent Vehicles
• [cs.CV]Single architecture and multiple task deep neural network for altered fingerprint analysis
• [cs.CV]Statistical shape analysis of brain arterial networks (BAN)
• [cs.CV]Temporal aggregation of audio-visual modalities for emotion recognition
• [cs.CV]The Phong Surface: Efficient 3D Model Fitting using Lifted Optimization
• [cs.CV]The UU-Net: Reversible Face De-Identification for Visual Surveillance Video Footage
• [cs.CV]The autonomous hidden camera crew
• [cs.CV]ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation
• [cs.CV]Towards Unsupervised Learning for Instrument Segmentation in Robotic Surgery with Cycle-Consistent Adversarial Networks
• [cs.CV]Uncertainty Quantification in Deep Residual Neural Networks
• [cs.CV]VisImages: A Large-scale, High-quality Image Corpus in Visualization Publications
• [cs.CV]Words as Art Materials: Generating Paintings with Sequential GANs
• [cs.CY]A deep learning approach to identify unhealthy advertisements in street view images
• [cs.CY]Cultural Cartography with Word Embeddings
• [cs.CY]GUIDE for a blended learning system
• [cs.CY]Green Lighting ML: Confidentiality, Integrity, and Availability of Machine Learning Systems in Deployment
• [cs.CY]Serverless Electronic Mail
• [cs.DB]Open Data Quality Evaluation: A Comparative Analysis of Open Data in Latvia
• [cs.DC]A Consent Model for Blockchain-based Distributed Data Sharing Platforms
• [cs.DC]A Programming Model for Hybrid Workflows: combining Task-based Workflows and Dataflows all-in-one
• [cs.DC]Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs
• [cs.DC]Bio-Inspired Energy Distribution for Programmable Matter
• [cs.DC]Performance and energy consumption of HPC workloads on a cluster based on Arm ThunderX2 CPU
• [cs.DS]An Efficient Updation Approach for Enumerating Maximal $(Δ, γ)$\mbox{-}Cliques of a Temporal Network
• [cs.HC]A Neuro-inspired Theory of Joint Human-Swarm Interaction
• [cs.HC]Building an Automated Gesture Imitation Game for Teenagers with ASD
• [cs.IR]A Survey of Quantum Theory Inspired Approaches to Information Retrieval
• [cs.IR]A Systematic Review on Context-Aware Recommender Systems using Deep Learning and Embeddings
• [cs.IR]Enhancing spatial and textual analysis with EUPEG: an extensible and unified platform for evaluating geoparsers
• [cs.IR]Inductive Relational Matrix Completion
• [cs.IT]Completion Time Minimization in Fog-RANs using D2D Communications and Rate-Aware Network Coding
• [cs.IT]Establishing Secrecy Region for Directional Modulation Scheme with Random Frequency Diverse Array
• [cs.IT]How URLLC can Benefit from NOMA-based Retransmissions
• [cs.IT]Low Complexity Optimization of the Asymptotic Spectral Efficiency in Massive MIMO NOMA
• [cs.IT]NOMA-Enabled Multi-Beam Satellite Systems: Joint Optimization to Overcome Offered-Requested Data Mismatches
• [cs.IT]Outage Analysis of Downlink URLLC in Massive MIMO systems with Power Allocation
• [cs.LG]A Critical Evaluation of Open-World Machine Learning
• [cs.LG]A Federated F-score Based Ensemble Model for Automatic Rule Extraction
• [cs.LG]A Policy Gradient Method for Task-Agnostic Exploration
• [cs.LG]A Study of Gradient Variance in Deep Learning
• [cs.LG]A Study on Encodings for Neural Architecture Search
• [cs.LG]Adaptive Regret for Control of Time-Varying Dynamics
• [cs.LG]Client Adaptation improves Federated Learning with Simulated Non-IID Clients
• [cs.LG]Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction
• [cs.LG]Concept Bottleneck Models
• [cs.LG]Contrastive Code Representation Learning
• [cs.LG]EVO-RL: Evolutionary-Driven Reinforcement Learning
• [cs.LG]Evaluation of Adversarial Training on Different Types of Neural Networks in Deep Learning-based IDSs
• [cs.LG]Expressivity of Deep Neural Networks
• [cs.LG]Fast Transformers with Clustered Attention
• [cs.LG]Fast Variational Learning in State-Space Gaussian Process Models
• [cs.LG]Federated Learning of User Authentication Models
• [cs.LG]GAMA: a General Automated Machine learning Assistant
• [cs.LG]Graph Convolutional Networks for Graphs Containing Missing Features
• [cs.LG]Graph Neural Networks for the Prediction of Substrate-Specific Organic Reaction Conditions
• [cs.LG]Hierarchical Graph Matching Networks for Deep Graph Similarity Learning
• [cs.LG]IALE: Imitating Active Learner Ensembles
• [cs.LG]Improving the Robustness of Trading Strategy Backtesting with Boltzmann Machines and Generative Adversarial Networks
• [cs.LG]Influence Diagram Bandits: Variational Thompson Sampling for Structured Bandit Problems
• [cs.LG]InfoMax-GAN: Improved Adversarial Image Generation via Information Maximization and Contrastive Learning
• [cs.LG]Invertible Zero-Shot Recognition Flows
• [cs.LG]Learning Differential Equations that are Easy to Solve
• [cs.LG]Learning Graph Structure With A Finite-State Automaton Layer
• [cs.LG]Learning Over-Parametrized Two-Layer ReLU Neural Networks beyond NTK
• [cs.LG]Learning to Bid Optimally and Efficiently in Adversarial First-price Auctions
• [cs.LG]Learning to Teach with Deep Interactions
• [cs.LG]Let the Data Choose its Features: Differentiable Unsupervised Feature Selection
• [cs.LG]MO-PaDGAN: Generating Diverse Designs with Multivariate Performance Enhancement
• [cs.LG]Maximum-and-Concatenation Networks
• [cs.LG]Meta-Learning One-Class Classification with DeepSets: Application in the Milky Way
• [cs.LG]Multinomial Logit Bandit with Low Switching Cost
• [cs.LG]Neural Architecture Search with GBDT
• [cs.LG]On the relationship between class selectivity, dimensionality, and robustness
• [cs.LG]One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control
• [cs.LG]One-Bit Compressed Sensing via One-Shot Hard Thresholding
• [cs.LG]Online probabilistic label trees
• [cs.LG]Probabilistic Value Selection for Space Efficient Model
• [cs.LG]Prostate motion modelling using biomechanically-trained deep neural networks on unstructured nodes
• [cs.LG]Recurrent Neural-Linear Posterior Sampling for Non-Stationary Contextual Bandits
• [cs.LG]Resource Aware Multifidelity Active Learning for Efficient Optimization
• [cs.LG]Robust Bayesian Classification Using an Optimistic Score Ratio
• [cs.LG]SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
• [cs.LG]Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks
• [cs.LG]SmaAt-UNet: Precipitation Nowcasting using a Small Attention-UNet Architecture
• [cs.LG]Training Restricted Boltzmann Machines with Binary Synapses using the Bayesian Learning Rule
• [cs.LG]Transparency Tools for Fairness in AI (Luskin)
• [cs.LG]URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks
• [cs.LG]Unbiased Lift-based Bidding System
• [cs.LG]Untapped Potential of Data Augmentation: A Domain Generalization Viewpoint
• [cs.LG]Wandering Within a World: Online Contextualized Few-Shot Learning
• [cs.LG]When Humans and Machines Make Joint Decisions: A Non-Symmetric Bandit Model
• [cs.LO]Treewidth-Aware Complexity in ASP: Not all Positive Cycles are Equally Hard
• [cs.MA]Multi-Swarm Herding: Protecting against Adversarial Swarms
• [cs.NE]EOS: a Parallel, Self-Adaptive, Multi-Population Evolutionary Algorithm for Constrained Global Optimization
• [cs.NE]Long Short-Term Memory Spiking Networks and Their Applications
• [cs.NI]Challenges of AI in Wireless Networks for IoT
• [cs.RO]An Interior Point Method Solving Motion Planning Problems with Narrow Passages
• [cs.RO]Assistive VR Gym: Using Interactions with Real People to Improve Virtual Assistive Robots
• [cs.RO]Computing High-Quality Clutter Removal Solutions for Multiple Robots
• [cs.RO]Design and Development of a Robotic Vehicle for Shallow-Water Marine Inspections
• [cs.RO]Learning to Switch CNNs with Model Agnostic Meta Learning for Fine Precision Visual Servoing
• [cs.RO]Robotic Grasping using Deep Reinforcement Learning
• [cs.RO]TEAM: Trilateration for Exploration and Mapping with Robotic Networks
• [cs.RO]TLIO: Tight Learned Inertial Odometry
• [cs.SD]Multi-task Regularization Based on Infrequent Classes for Audio Captioning
• [cs.SE]Application of LEAN Principles to Improve Business Processes: a Case Study in Latvian IT Company
• [cs.SI]Client Network: An Interactive Model for Predicting New Clients
• [cs.SI]Contrastive Multiple Correspondence Analysis (cMCA): Applying the Contrastive Learning Method to Identify Political Subgroups
• [cs.SI]Emergence of Hierarchy in Networked Endorsement Dynamics
• [cs.SI]Network Modelling of Criminal Collaborations with Dynamic Bayesian Steady Evolutions
• [cs.SI]Predictability of real temporal networks
• [econ.EM]Structural Gaussian mixture vector autoregressive model
• [econ.EM]Time Series Analysis of COVID-19 Infection Curve: A Change-Point Perspective
• [eess.AS]Capturing scattered discriminative information using a deep architecture in acoustic scene classification
• [eess.AS]DeepSinger: Singing Voice Synthesis with Data Mined From the Web
• [eess.IV]Automatic Probe Movement Guidance for Freehand Obstetric Ultrasound
• [eess.IV]Brain Tumor Anomaly Detection via Latent Regularized Adversarial Network
• [eess.IV]Efficient detection of adversarial images
• [eess.IV]JBFnet — Low Dose CT Denoising by Trainable Joint Bilateral Filtering
• [eess.IV]Journey Towards Tiny Perceptual Super-Resolution
• [eess.IV]Lightweight Image Super-Resolution with Enhanced CNN
• [eess.IV]Low Dose CT Denoising via Joint Bilateral Filtering and Intelligent Parameter Optimization
• [eess.IV]Medical Instrument Detection in Ultrasound-Guided Interventions: A Review
• [eess.IV]Modelling the Distribution of 3D Brain MRI using a 2D Slice VAE
• [eess.IV]Neural Video Coding using Multiscale Motion Compensation and Spatiotemporal Context Model
• [eess.SP]An Efficient Data Imputation Technique for Human Activity Recognition
• [eess.SY]Remote Estimation in Decentralized Random Access Channels
• [math.CO]Scattered subspaces and related codes
• [math.NA]A blueprint for building efficient Neural Network Differential Equation Solvers
• [math.NA]Solving Allen-Cahn and Cahn-Hilliard Equations using the Adaptive Physics Informed Neural Networks
• [math.OC]An Integer Programming Approach to Deep Neural Networks with Binary Activation Functions
• [math.OC]Higher-order methods for convex-concave min-max optimization and monotone variational inequalities
• [math.PR]On Optimal Uniform Concentration Inequalities for Discrete Entropy in the High-dimensional Setting
• [math.ST]Finite mixture models are typically inconsistent for the number of components
• [math.ST]Minimax Efficient Finite-Difference Stochastic Gradient Estimators Using Black-Box Function Evaluations
• [physics.soc-ph]Incorporating social opinion in the evolution of an epidemic spread
• [q-bio.MN]Identifying efficient controls of complex interaction networks using genetic algorithms
• [q-bio.PE]Racial Impact on Infections and Deaths due to COVID-19 in New York City
• [quant-ph]Physics-inspired forms of the Bayesian Cramér-Rao bound
• [quant-ph]Reformulation of the No-Fr
f04
ee-Lunch Theorem for Entangled Data Sets
• [stat.AP]Adding experimental treatment arms to Multi-Arm Multi-Stage platform trials in progress
• [stat.AP]Beyond Scalar Treatment: A Causal Analysis of Hippocampal Atrophy on Behavioral Deficits in Alzheimer’s Studies
• [stat.AP]Non-proportional hazards in immuno-oncology: is an old perspective needed?
• [stat.AP]Supervised Robust Profile Clustering
• [stat.AP]Supplemental Studies for Simultaneous Goodness-of-Fit Testing
• [stat.ME]Bayesian Computation in Dynamic Latent Factor Models
• [stat.ME]Causal Effects in Twin Studies: the Role of Interference
• [stat.ME]Contour Models for Boundaries Enclosing Star-Shaped and Approximately Star-Shaped Polygons
• [stat.ME]Dissimilarity functions for rank-based hierarchical clustering of continuous variables
• [stat.ME]Double spike Dirichlet priors for structured weighting
• [stat.ME]Estimation and inference on high-dimensional individualized treatment rule in observational data using split-and-pooled de-correlated score
• [stat.ME]Generalised Bayes Updates with $f$-divergences through Probabilistic Classifiers
• [stat.ME]Sparse Regression for Extreme Values
• [stat.ME]varTestnlme: Variance Components Testing in Linear and Nonlinear Mixed-effects Models
• [stat.ML]Graph-Based Continual Learning
• [stat.ML]Making learning more transparent using conformalized performance prediction
• [stat.ML]Online Approximate Bayesian learning
• [stat.ML]Robust Geodesic Regression
• [stat.ML]StructureBoost: Efficient Gradient Boosting for Structured Categorical Variables
·····································
• [cs.AI]A Generative Graph Method to Solve the Travelling Salesman Problem
Amal Nammouchi, Hakim Ghazzai, Yehia Massoud
http://arxiv.org/abs/2007.04949v1
• [cs.AI]A Reference Software Architecture for Social Robots
Luigi Asprino, Paolo Ciancarini, Andrea Giovanni Nuzzolese, Valentina Presutti, Alessandro Russo
http://arxiv.org/abs/2007.04933v1
• [cs.AI]Attention or memory? Neurointerpretable agents in space and time
Lennart Bramlage, Aurelio Cortese
http://arxiv.org/abs/2007.04862v1
• [cs.AI]Automation Strategies for Unconstrained Crossword Puzzle Generation
Charu Agarwal, Rushikesh K. Joshi
http://arxiv.org/abs/2007.04663v1
• [cs.AI]Explainability of Intelligent Transportation Systems using Knowledge Compilation: a Traffic Light Controller Case
Salomón Wollenstein-Betech, Christian Muise, Christos G. Cassandras, Ioannis Ch. Paschalidis, Yasaman Khazaeni
http://arxiv.org/abs/2007.04916v1
• [cs.AI]Guru, Partner, or Pencil Sharpener? Understanding Designers’ Attitudes Towards Intelligent Creativity Support Tools
Angus Main, Mick Grierson
http://arxiv.org/abs/2007.04848v1
• [cs.AI]Learning to Prune Deep Neural Networks via Reinforcement Learning
Manas Gupta, Siddharth Aravindan, Aleksandra Kalisz, Vijay Chandrasekhar, Lin Jie
http://arxiv.org/abs/2007.04756v1
• [cs.AI]Modified Possibilistic Fuzzy C-Means Algorithm for Clustering Incomplete Data Sets
Rustam, Koredianto Usman, Mudyawati Kamaruddin, Dina Chamidah, Nopendri, Khaerudin Saleh, Yulinda Eliskar, Ismail Marzuki
http://arxiv.org/abs/2007.04908v1
• [cs.AI]Multi-Granularity Modularized Network for Abstract Visual Reasoning
Xiangru Tang, Haoyuan Wang, Xiang Pan, Jiyang Qi
http://arxiv.org/abs/2007.04670v1
• [cs.AI]NASGEM: Neural Architecture Search via Graph Embedding Method
Hsin-Pai Cheng, Tunhou Zhang, Shiyu Li, Feng Yan, Meng Li, Vikas Chandra, Hai Li, Yiran Chen
http://arxiv.org/abs/2007.04452v1
• [cs.AI]On the Reliability and Generalizability of Brain-inspired Reinforcement Learning Algorithms
Dongjae Kim, Jee Hang Lee, Jae Hoon Shin, Minsu Abel Yang, Sang Wan Lee
http://arxiv.org/abs/2007.04578v1
• [cs.AI]Predicting Court Decisions for Alimony: Avoiding Extra-legal Factors in Decision made by Judges and Not Understandable AI Models
Fabrice Muhlenbach, Long Nguyen Phuoc, Isabelle Sayn
http://arxiv.org/abs/2007.04824v1
• [cs.AI]The Automation of Acceleration: AI and the Future of Society
Nicholas Kluge Corrêa
http://arxiv.org/abs/2007.04477v1
• [cs.AI]Weakness Analysis of Cyberspace Configuration Based on Reinforcement Learning
Lei Zhang, Wei Bai, Shize Guo, Shiming Xia, Hongmei Li, Zhisong Pan
http://arxiv.org/abs/2007.04614v1
• [cs.CL]Automatic Personality Prediction; an Enhanced Method Using Ensemble Modeling
Majid Ramezani, Mohammad-Reza Feizi-Derakhshi, Mohammad-Ali Balafar, Meysam Asgari-Chenaghlu, Ali-Reza Feizi-Derakhshi, Narjes Nikzad-Khasmakhi, Mehrdad Ranjbar-Khadivi, Zoleikha Jahanbakhsh-Nagadeh, Elnaz Zafarani-Moattar
http://arxiv.org/abs/2007.04571v1
• [cs.CL]Best-First Beam Search
Clara Meister, Tim Vieira, Ryan Cotterell
http://arxiv.org/abs/2007.03909v2
• [cs.CL]CompRes: A Dataset for Narrative Structure in News
Effi Levi, Guy Mor, Shaul Shenhav, Tamir Sheafer
http://arxiv.org/abs/2007.04874v1
• [cs.CL]DISCO PAL: Diachronic Spanish Sonnet Corpus with Psychological and Affective Labels
Alberto Barbado, Víctor Fresno, Ángeles Manjarrés Riesco, Salvador Ros
http://arxiv.org/abs/2007.04626v1
• [cs.CL]Discourse Coherence, Reference Grounding and Goal Oriented Dialogue
Baber Khalid, Malihe Alikhani, Michael Fellner, Brian McMahan, Matthew Stone
http://arxiv.org/abs/2007.04428v1
• [cs.CL]Greedy Transition-Based Dependency Parsing with Discrete and Continuous Supertag Features
Ali Basirat, Joakim Nivre
http://arxiv.org/abs/2007.04686v1
• [cs.CL]Less is More: Rejecting Unreliable Reviews for Product Question Answering
Shiwei Zhang, Xiuzhen Zhang, Jey Han Lau, Jeffrey Chan, Cecile Paris
http://arxiv.org/abs/2007.04526v1
• [cs.CL]Principal Word Vectors
Ali Basirat, Christian Hardmeier, Joakim Nivre
http://arxiv.org/abs/2007.04629v1
• [cs.CL]Targeting the Benchmark: On Methodology in Current Natural Language Processing Research
David Schlangen
http://arxiv.org/abs/2007.04792v1
• [cs.CR]Artificial Intelligence and Machine Learning in 5G Network Security: Opportunities, advantages, and future research trends
Noman Haider, Muhammad Zeeshan Baig, Muhammad Imran
http://arxiv.org/abs/2007.04490v1
• [cs.CR]Epidemic Exposure Notification with Smartwatch: A Proximity-Based Privacy-Preserving Approach
Pai Chet Ng, Petros Spachos, Stefano Gregori, Konstantinos Plataniotis
http://arxiv.org/abs/2007.04399v1
• [cs.CV]A Cordial Sync: Going Beyond Marginal Policies for Multi-Agent Embodied Tasks
Unnat Jain, Luca Weihs, Eric Kolve, Ali Farhadi, Svetlana Lazebnik, Aniruddha Kembhavi, Alexander Schwing
http://arxiv.org/abs/2007.04979v1
• [cs.CV]A Deep Joint Sparse Non-negative Matrix Factorization Framework for Identifying the Common and Subject-specific Functional Units of Tongue Motion During Speech
Jonghye Woo, Fangxu Xing, Jerry L. Prince, Maureen Stone, Arnold Gomez, Timothy G. Reese, Van J. Wedeen, Georges El Fakhri
http://arxiv.org/abs/2007.04865v1
• [cs.CV]AI Assisted Apparel Design
Alpana Dubey, Nitish Bhardwaj, Kumar Abhinav, Suma Mani Kuriakose, Sakshi Jain, Veenu Arora
http://arxiv.org/abs/2007.04950v1
• [cs.CV]Aligning Videos in Space and Time
Senthil Purushwalkam, Tian Ye, Saurabh Gupta, Abhinav Gupta
http://arxiv.org/abs/2007.04515v1
• [cs.CV]Alleviating the Burden of Labeling: Sentence Generation by Attention Branch Encoder-Decoder Network
Tadashi Ogura, Aly Magassouba, Komei Sugiura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Hisashi Kawai
http://arxiv.org/abs/2007.04557v1
• [cs.CV]Animated GIF optimization by adaptive color local table management
Oliver Giudice, Dario Allegra, Francesco Guarnera, Filippo Stanco, Sebastiano Battiato
http://arxiv.org/abs/2007.04717v1
• [cs.CV]Anyone here? Smart embedded low-resolution omnidirectional video sensor to measure room occupancy
Timothy Callemein, Kristof Van Beeck, Toon Goedemé
http://arxiv.org/abs/2007.04934v1
• [cs.CV]Attention Neural Network for Trash Detection on Water Channels
Mohbat Tharani, Abdul Wahab Amin, Mohammad Maaz, Murtaza Taj
http://arxiv.org/abs/2007.04639v1
• [cs.CV]Attention-based Residual Speech Portrait Model for Speech to Face Generation
Jianrong Wang, Xiaosheng Hu, Li Liu, Wei Liu, Mei Yu, Tianyi Xu
http://arxiv.org/abs/2007.04536v1
• [cs.CV]Automated analysis of eye-tracker-based human-human interaction studies
Timothy Callemein, Kristof Van Beeck, Geert Brône, Toon Goedemé
http://arxiv.org/abs/2007.04671v1
• [cs.CV]Auxiliary Tasks Speed Up Learning PointGoal Navigation
Joel Ye, Dhruv Batra, Erik Wijmans, Abhishek Das
http://arxiv.org/abs/2007.04561v1
• [cs.CV]Building Robust Industrial Applicable Object Detection Models Using Transfer Learning and Single Pass Deep Learning Architectures
Steven Puttemans, Timothy Callemein, Toon Goedemé
http://arxiv.org/abs/2007.04666v1
• [cs.CV]Cross-Modal Weighting Network for RGB-D Salient Object Detection
Gongyang Li, Zhi Liu, Linwei Ye, Yang Wang, Haibin Ling
http://arxiv.org/abs/2007.04901v1
• [cs.CV]Deep Multi-task Learning for Facial Expression Recognition and Synthesis Based on Selective Feature Sharing
Rui Zhao, Tianshan Liu, Jun Xiao, Daniel P. K. Lun, Kin-Man Lam
http://arxiv.org/abs/2007.04514v1
• [cs.CV]Deep Placental Vessel Segmentation for Fetoscopic Mosaicking
Sophia Bano, Francisco Vasconcelos, Luke M. Shepherd, Emmanuel Vander Poorten, Tom Vercauteren, Sebastien Ourselin, Anna L. David, Jan Deprest, Danail Stoyanov
http://arxiv.org/abs/2007.04349v1
• [cs.CV]EPI-based Oriented Relation Networks for Light Field Depth Estimation
Kunyuan Li, Jun Zhang, Rui Sun, Xudong Zhang, Jun Gao
http://arxiv.org/abs/2007.04538v1
• [cs.CV]ESA-ReID: Entropy-Based Semantic Feature Alignment for Person re-ID
Chaoping Tu, Yin Zhao, Longjun Cai
http://arxiv.org/abs/2007.04644v1
• [cs.CV]Generalized Many-Way Few-Shot Video Classification
Yongqin Xian, Bruno Korbar, Matthijs Douze, Bernt Schiele, Zeynep Akata, Lorenzo Torresani
http://arxiv.org/abs/2007.04755v1
• [cs.CV]Hierarchical nucleation in deep neural networks
Diego Doimo, Aldo Glielmo, Alessio Ansuini, Alessandro Laio
http://arxiv.org/abs/2007.03506v2
• [cs.CV]How low can you go? Privacy-preserving people detection with an omni-directional camera
Timothy Callemein, Kristof Van Beeck, Toon Goedemé
http://arxiv.org/abs/2007.04678v1
• [cs.CV]IQ-VQA: Intelligent Visual Question Answering
Vatsal Goel, Mohit Chandak, Ashish Anand, Prithwijit Guha
http://arxiv.org/abs/2007.04422v1
• [cs.CV]Improving Style-Content Disentanglement in Image-to-Image Translation
Aviv Gabbay, Yedid Hoshen
http://arxiv.org/abs/2007.04964v1
• [cs.CV]Inertial Measurements for Motion Compensation in Weight-bearing Cone-beam CT of the Knee
Jennifer Maier, Marlies Nitschke, Jang-Hwan Choi, Garry Gold, Rebecca Fahrig, Bjoern M. Eskofier, Andreas Maier
http://arxiv.org/abs/2007.04655v1
• [cs.CV]JGR-P2O: Joint Graph Reasoning based Pixel-to-Offset Prediction Network for 3D Hand Pose Estimation from a Single Depth Image
Linpu Fang, Xingyan Liu, Li Liu, Hang Xu, Wenxiong Kang
http://arxiv.org/abs/2007.04646v1
• [cs.CV]Long-Term Residual Blending Network for Blur Invariant Single Image Blind deblurring
Sungkwon An, Hyungmin Roh, Myungjoo Kang
http://arxiv.org/abs/2007.04543v1
• [cs.CV]Maximum Entropy Regularization and Chinese Text Recognition
Changxu Cheng, Wuheng Xu, Xiang Bai, Bin Feng, Wenyu Liu
http://arxiv.org/abs/2007.04651v1
• [cs.CV]Monocular Vision based Crowdsourced 3D Traffic Sign Positioning with Unknown Camera Intrinsics and Distortion Coefficients
Hemang Chawla, Matti Jukola, Elahe Arani, Bahram Zonooz
http://arxiv.org/abs/2007.04592v1
• [cs.CV]Not only Look, but also Listen: Learning Multimodal Violence Detection under Weak Supervision
Peng Wu, Jing Liu, Yujia Shi, Yujia Sun, Fangtao Shao, Zhaoyang Wu, Zhiwei Yang
http://arxiv.org/abs/2007.04687v1
• [cs.CV]Novel Subtypes of Pulmonary Emphysema Based on Spatially-Informed Lung Texture Learning
Jie Yang, Elsa D. Angelini, Pallavi P. Balte, Eric A. Hoffman, John H. M. Austin, Benjamin M. Smith, R. Graham Barr, Andrew F. Laine
http://arxiv.org/abs/2007.04978v1
• [cs.CV]PIE-NET: Paramet
13b7
ric Inference of Point Cloud Edges
Xiaogang Wang, Yuelang Xu, Kai Xu, Andrea Tagliasacchi, Bin Zhou, Ali Mahdavi-Amiri, Hao Zhang
http://arxiv.org/abs/2007.04883v1
• [cs.CV]Patient-Specific Domain Adaptation for Fast Optical Flow Based on Teacher-Student Knowledge Transfer
Sontje Ihler, Max-Heinrich Laves, Tobias Ortmaier
http://arxiv.org/abs/2007.04928v1
• [cs.CV]Placepedia: Comprehensive Place Understanding with Multi-Faceted Annotations
Huaiyi Huang, Yuqi Zhang, Qingqiu Huang, Zhengkui Guo, Ziwei Liu, Dahua Lin
http://arxiv.org/abs/2007.03777v2
• [cs.CV]Point Set Voting for Partial Point Cloud Analysis
Junming Zhang, Weijia Chen, Yuping Wang, Ram Vasudevan, Matthew Johnson-Roberson
http://arxiv.org/abs/2007.04537v1
• [cs.CV]PointMask: Towards Interpretable and Bias-Resilient Point Cloud Processing
Saeid Asgari Taghanaki, Kaveh Hassani, Pradeep Kumar Jayaraman, Amir Hosein Khasahmadi, Tonya Custis
http://arxiv.org/abs/2007.04525v1
• [cs.CV]Pollen13K: A Large Scale Microscope Pollen Grain Image Dataset
Sebastiano Battiato, Alessandro Ortis, Francesca Trenta, Lorenzo Ascari, Mara Politi, Consolata Siniscalco
http://arxiv.org/abs/2007.04690v1
• [cs.CV]Quaternion Capsule Networks
Barış Özcan, Furkan Kınlı, Furkan Kıraç
http://arxiv.org/abs/2007.04389v1
• [cs.CV]Real-time Embedded Person Detection and Tracking for Shopping Behaviour Analysis
Robin Schrijvers, Steven Puttemans, Timothy Callemein, Toon Goedemé
http://arxiv.org/abs/2007.04942v1
• [cs.CV]Searching for Efficient Architecture for Instrument Segmentation in Robotic Surgery
Daniil Pakhomov, Nassir Navab
http://arxiv.org/abs/2007.04449v1
• [cs.CV]SegFix: Model-Agnostic Boundary Refinement for Segmentation
Yuhui Yuan, Jingyi Xie, Xilin Chen, Jingdong Wang
http://arxiv.org/abs/2007.04269v2
• [cs.CV]Sensor Fusion of Camera and Cloud Digital Twin Information for Intelligent Vehicles
Yongkang Liu, Ziran Wang, Kyungtae Han, Zhenyu Shou, Prashant Tiwari, John H. L. Hansen
http://arxiv.org/abs/2007.04350v1
• [cs.CV]Single architecture and multiple task deep neural network for altered fingerprint analysis
Oliver Giudice, Mattia Litrico, Sebastiano Battiato
http://arxiv.org/abs/2007.04931v1
• [cs.CV]Statistical shape analysis of brain arterial networks (BAN)
Xiaoyang Guo, Aditi Basu Bal, Tom Needham, Anuj Srivastava
http://arxiv.org/abs/2007.04793v1
• [cs.CV]Temporal aggregation of audio-visual modalities for emotion recognition
Andreea Birhala, Catalin Nicolae Ristea, Anamaria Radoi, Liviu Cristian Dutu
http://arxiv.org/abs/2007.04364v1
• [cs.CV]The Phong Surface: Efficient 3D Model Fitting using Lifted Optimization
Jingjing Shen, Thomas J. Cashman, Qi Ye, Tim Hutton, Toby Sharp, Federica Bogo, Andrew William Fitzgibbon, Jamie Shotton
http://arxiv.org/abs/2007.04940v1
• [cs.CV]The UU-Net: Reversible Face De-Identification for Visual Surveillance Video Footage
Hugo Proença
http://arxiv.org/abs/2007.04316v1
• [cs.CV]The autonomous hidden camera crew
Timothy Callemein, Wiebe Van Ranst, Toon Goedemé
http://arxiv.org/abs/2007.04657v1
• [cs.CV]ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation
Chuang Gan, Jeremy Schwartz, Seth Alter, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Damian Mrowca, Michael Lingelbach, Aidan Curtis, Kevin Feigelis, Daniel M. Bear, Dan Gutfreund, David Cox, James J. DiCarlo, Josh McDermott, Joshua B. Tenenbaum, Daniel L. K. Yamins
http://arxiv.org/abs/2007.04954v1
• [cs.CV]Towards Unsupervised Learning for Instrument Segmentation in Robotic Surgery with Cycle-Consistent Adversarial Networks
Daniil Pakhomov, Wei Shen, Nassir Navab
http://arxiv.org/abs/2007.04505v1
• [cs.CV]Uncertainty Quantification in Deep Residual Neural Networks
Lukasz Wandzik, Raul Vicente Garcia, Jörg Krüger
http://arxiv.org/abs/2007.04905v1
• [cs.CV]VisImages: A Large-scale, High-quality Image Corpus in Visualization Publications
Dazhen Deng, Yihong Wu, Xinhuan Shu, Mengye Xu, Jiang Wu, Siwei Fu Yingcai Wu
http://arxiv.org/abs/2007.04584v1
• [cs.CV]Words as Art Materials: Generating Paintings with Sequential GANs
Azmi Can Özgen, Hazım Kemal Ekenel
http://arxiv.org/abs/2007.04383v1
• [cs.CY]A deep learning approach to identify unhealthy advertisements in street view images
Gregory Palmer, Mark Green, Emma Boyland, Yales Stefano Rios Vasconcelos, Rahul Savani, Alex Singleton
http://arxiv.org/abs/2007.04611v1
• [cs.CY]Cultural Cartography with Word Embeddings
Dustin S. Stoltz, Marshall A. Taylor
http://arxiv.org/abs/2007.04508v1
• [cs.CY]GUIDE for a blended learning system
Mokhtar Ben Henda
http://arxiv.org/abs/2007.04912v1
• [cs.CY]Green Lighting ML: Confidentiality, Integrity, and Availability of Machine Learning Systems in Deployment
Abhishek Gupta, Erick Galinkin
http://arxiv.org/abs/2007.04693v1
• [cs.CY]Serverless Electronic Mail
Geoffrey Goodell
http://arxiv.org/abs/2007.04608v1
• [cs.DB]Open Data Quality Evaluation: A Comparative Analysis of Open Data in Latvia
Anastasija Nikiforova
http://arxiv.org/abs/2007.04697v1
• [cs.DC]A Consent Model for Blockchain-based Distributed Data Sharing Platforms
Vikas Jaiman, Visara Urovi
http://arxiv.org/abs/2007.04847v1
• [cs.DC]A Programming Model for Hybrid Workflows: combining Task-based Workflows and Dataflows all-in-one
Cristian Ramon-Cortes, Francesc Lordan, Jorge Ejarque, Rosa M. Badia
http://arxiv.org/abs/2007.04939v1
• [cs.DC]Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs
Jieyang Chen, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, Dave Pugmire, Nicholas Thompson, Matthew Wolf, Todd Munson, Ian Foster, Scott Klasky
http://arxiv.org/abs/2007.04457v1
• [cs.DC]Bio-Inspired Energy Distribution for Programmable Matter
Joshua J. Daymude, Andréa W. Richa, Jamison W. Weber
http://arxiv.org/abs/2007.04377v1
• [cs.DC]Performance and energy consumption of HPC workloads on a cluster based on Arm ThunderX2 CPU
Filippo Mantovani, Marta Garcia-Gasulla, José Gracia, Esteban Stafford, Fabio Banchelli, Marc Josep-Fabrego, Joel Criado-Ledesma, Mathias Nachtmann
http://arxiv.org/abs/2007.04868v1
• [cs.DS]An Efficient Updation Approach for Enumerating Maximal $(Δ, γ)$\mbox{-}Cliques of a Temporal Network
Suman Banerjee, Bithika Pal
http://arxiv.org/abs/2007.04411v1
• [cs.HC]A Neuro-inspired Theory of Joint Human-Swarm Interaction
Jonas D. Hasbach, Maren Bennewitz
http://arxiv.org/abs/2007.04882v1
• [cs.HC]Building an Automated Gesture Imitation Game for Teenagers with ASD
Linda Nanan Vallée, Christophe Lohr, Sao Mai Nguyen, Ioannis Kanellos, O. Asseu
http://arxiv.org/abs/2007.04604v1
• [cs.IR]A Survey of Quantum Theory Inspired Approaches to Information Retrieval
Sagar Uprety, Dimitris Gkoumas, Dawei Song
http://arxiv.org/abs/2007.04357v1
• [cs.IR]A Systematic Review on Context-Aware Recommender Systems using Deep Learning and Embeddings
Igor André Pegoraro Santana, Marcos Aurelio Domingues
http://arxiv.org/abs/2007.04782v1
• [cs.IR]Enhancing spatial and textual analysis with EUPEG: an extensible and unified platform for evaluating geoparsers
Jimin Wang, Yingjie Hu
http://arxiv.org/abs/2007.04524v1
• [cs.IR]Inductive Relational Matrix Completion
Qitian Wu, Hengrui Zhang, Hongyuan Zha
http://arxiv.org/abs/2007.04833v1
• [cs.IT]Completion Time Minimization in Fog-RANs using D2D Communications and Rate-Aware Network Coding
Mohammed S. Al-Abiad, Md. Jahangir Hossain
http://arxiv.org/abs/2007.04573v1
• [cs.IT]Establishing Secrecy Region for Directional Modulation Scheme with Random Frequency Diverse Array
Shengping Lv, Jinsong Hu, Youjia Chen, Zhimeng Xu, Zhizhang, Chen
http://arxiv.org/abs/2007.04607v1
• [cs.IT]How URLLC can Benefit from NOMA-based Retransmissions
Radosław Kotaba, Carles Navarro Manchón, Tommaso Balercia, Petar Popovski
http://arxiv.org/abs/2007.04677v1
• [cs.IT]Low Complexity Optimization of the Asymptotic Spectral Efficiency in Massive MIMO NOMA
Lucinda Hadley, Ioannis Chatzigeorgiou
http://arxiv.org/abs/2007.04429v1
• [cs.IT]NOMA-Enabled Multi-Beam Satellite Systems: Joint Optimization to Overcome Offered-Requested Data Mismatches
Anyue Wang, Lei Lei, Eva Lagunas, Ana I. Perez-Neira, Symeon Chatzinotas, Bjorn Ottersten
http://arxiv.org/abs/2007.04718v1
• [cs.IT]Outage Analysis of Downlink URLLC in Massive MIMO systems with Power Allocation
Alexandru-Sabin Bana, Luca Sanguinetti, Elisabeth De Carvalho, Petar Popovski
http://arxiv.org/abs/2007.04784v1
• [cs.LG]A Critical Evaluation of Open-World Machine Learning
Liwei Song, Vikash Sehwag, Arjun Nitin Bhagoji, Prateek Mittal
http://arxiv.org/abs/2007.04391v1
• [cs.LG]A Federated F-score Based Ensemble Model for Automatic Rule Extraction
Kun Li, Fanglan Zheng, Jiang Tian, Xiaojia Xiang
http://arxiv.org/abs/2007.03533v2
• [cs.LG]A Policy Gradient Method for Task-Agnostic Exploration
Mirco Mutti, Lorenzo Pratissoli, Marcello Restelli
http://arxiv.org/abs/2007.04640v1
• [cs.LG]A Study of Gradient Variance in Deep Learning
Fartash Faghri, David Duvenaud, David J. Fleet, Jimmy Ba
http://arxiv.org/abs/2007.04532v1
• [cs.LG]A Study on Encodings for Neural Architecture Search
Colin White, Willie Neiswanger, Sam Nolen, Yash Savani
http://arxiv.org/abs/2007.04965v1
• [cs.LG]Adaptive Regret for Control of Time-Varying Dynamics
Paula Gradu, Elad Hazan, Edgar Minasyan
http://arxiv.org/abs/2007.04393v1
• [cs.LG]Client Adaptation improves Federated Learning with Simulated Non-IID Clients
Laura Rieger, Rasmus M. Th. Høegh, Lars K. Hansen
http://arxiv.org/abs/2007.04806v1
• [cs.LG]Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction
Filipe de Avila Belbute-Peres, Thomas D. Economon, J. Zico Kolter
http://arxiv.org/abs/2007.04439v1
• [cs.LG]Concept Bottleneck Models
Pang Wei Koh, Thao Nguyen, Yew Siang Tang, Stephen Mussmann, Emma Pierson, Been Kim, Percy Liang
http://arxiv.org/abs/2007.04612v1
• [cs.LG]Contrastive Code Representation Learning
Paras Jain, Ajay Jain, Tianjun Zhang, Pieter Abbeel, Joseph E. Gonzalez, Ion Stoica
http://arxiv.org/abs/2007.04973v1
• [cs.LG]EVO-RL: Evolutionary-Driven Reinforcement Learning
Ahmed Hallawa, Thorsten Born, Anke Schmeink, Guido Dartmann, Arne Peine, Lukas Martin, Giovanni Iacca, Gusz Eiben, Gerd Ascheid
http://arxiv.org/abs/2007.04725v1
• [cs.LG]Evaluation of Adversarial Training on Different Types of Neural Networks in Deep Learning-based IDSs
Rana Abou Khamis, Ashraf Matrawy
http://arxiv.org/abs/2007.04472v1
• [cs.LG]Expressivity of Deep Neural Networks
Ingo Gühring, Mones Raslan, Gitta Kutyniok
http://arxiv.org/abs/2007.04759v1
• [cs.LG]Fast Transformers with Clustered Attention
Apoorv Vyas, Angelos Katharopoulos, François Fleuret
http://arxiv.org/abs/2007.04825v1
• [cs.LG]Fast Variational Learning in State-Space Gaussian Process Models
Paul E. Chang, William J. Wilkinson, Mohammad Emtiyaz Khan, Arno Solin
http://arxiv.org/abs/2007.04731v1
• [cs.LG]Federated Learning of User Authentication Models
Hossein Hosseini, Sungrack Yun, Hyunsin Park, Christos Louizos, Joseph Soriaga, Max Welling
http://arxiv.org/abs/2007.04618v1
• [cs.LG]GAMA: a General Automated Machine learning Assistant
Pieter Gijsbers, Joaquin Vanschoren
http://arxiv.org/abs/2007.04911v1
• [cs.LG]Graph Convolutional Networks for Graphs Containing Missing Features
Hibiki Taguchi, Xin Liu, Tsuyoshi Murata
http://arxiv.org/abs/2007.04583v1
• [cs.LG]Graph Neural Networks for the Prediction of Substrate-Specific Organic Reaction Conditions
Serim Ryou, Michael R. Maser, Alexander Y. Cui, Travis J. DeLano, Yisong Yue, Sarah E. Reisman
http://arxiv.org/abs/2007.04275v2
• [cs.LG]Hierarchical Graph Matching Networks for Deep Graph Similarity Learning
Xiang Ling, Lingfei Wu, Saizhuo Wang, Tengfei Ma, Fangli Xu, Alex X. Liu, Chunming Wu, Shouling Ji
http://arxiv.org/abs/2007.04395v1
• [cs.LG]IALE: Imitating Active Learner Ensembles
Christoffer Löffler, Karthik Ayyalasomayajula, Sascha Riechel, Christopher Mutschler
http://arxiv.org/abs/2007.04637v1
• [cs.LG]Improving the Robustness of Trading Strategy Backtesting with Boltzmann Machines and Generative Adversarial Networks
Edmond Lezmi, Jules Roche, Thierry Roncalli, Jiali Xu
http://arxiv.org/abs/2007.04838v1
• [cs.LG]Influence Diagram Bandits: Variational Thompson Sampling for Structured Bandit Problems
Tong Yu, Branislav Kveton, Zheng Wen, Ruiyi Zhang, Ole J. Mengshoel
http://arxiv.org/abs/2007.04915v1
• [cs.LG]InfoMax-GAN: Improved Adversarial Image Generation via Information Maximization and Contrastive Learning
Kwot Sin Lee, Ngoc-Trung Tran, Ngai-Man Cheung
http://arxiv.org/abs/2007.04589v1
• [cs.LG]Invertible Zero-Shot Recognition Flows
Yuming Shen, Jie Qin, Lei Huang
http://arxiv.org/abs/2007.04873v1
• [cs.LG]Learning Differential Equations that are Easy to Solve
Jacob Kelly, Jesse Bettencourt, Matthew James Johnson, David Duvenaud
http://arxiv.org/abs/2007.04504v1
• [cs.LG]Learning Graph Structure With A Finite-State Automaton Layer
Daniel D. Johnson, Hugo Larochelle, Daniel Tarlow
http://arxiv.org/abs/2007.04929v1
• [cs.LG]Learning Over-Parametrized Two-Layer ReLU Neural Networks beyond NTK
Yuanzhi Li, Tengyu Ma, Hongyang R. Zhang
http://arxiv.org/abs/2007.04596v1
• [cs.LG]Learning to Bid Optimally and Efficiently in Adversarial First-price Auctions
Yanjun Han, Zhengyuan Zhou, Aaron Flores, Erik Ordentlich, Tsachy Weissman
http://arxiv.org/abs/2007.04568v1
• [cs.LG]Learning to Teach with Deep Interactions
Yang Fan, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Xiang-Yang Li, Tie-Yan Liu
http://arxiv.org/abs/2007.04649v1
• [cs.LG]Let the Data Choose its Features: Differentiable Unsupervised Feature Selection
Ofir Lindenbaum, Uri Shaham, Jonathan Svirsky, Erez Peterfreund, Yuval Kluger
http://arxiv.org/abs/2007.04728v1
• [cs.LG]MO-PaDGAN: Generating Diverse Designs with Multivariate Performance Enhancement
Wei Chen, Faez Ahmed
http://arxiv.org/abs/2007.04790v1
• [cs.LG]Maximum-and-Concatenation Networks
Xingyu Xie, Hao Kong, Jianlong Wu, Wayne Zhang, Guangcan Liu, Zhouchen Lin
http://arxiv.org/abs/2007.04630v1
• [cs.LG]Meta-Learning One-Class Classification with DeepSets: Application in the Milky Way
Ademola Oladosu, Tony Xu, Philip Ekfeldt, Brian A. Kelly, Miles Cranmer, Shirley Ho, Adrian M. Price-Whelan, Gabriella Contardo
http://arxiv.org/abs/2007.04459v1
• [cs.LG]Multinomial Logit Bandit with Low Switching Cost
Kefan Dong, Yingkai Li, Qin Zhang, Yuan Zhou
http://arxiv.org/abs/2007.04876v1
• [cs.LG]Neural Architecture Search with GBDT
Renqian Luo, Xu Tan, Rui Wang, Tao Qin, Enhong Chen, Tie-Yan Liu
http://arxiv.org/abs/2007.04785v1
• [cs.LG]On the relationship between class selectivity, dimensionality, and robustness
Matthew L. Leavitt, Ari S. Morcos
http://arxiv.org/abs/2007.04440v1
• [cs.LG]One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control
Wenlong Huang, Igor Mordatch, Deepak Pathak
http://arxiv.org/abs/2007.04976v1
• [cs.LG]One-Bit Compressed Sensing via One-Shot Hard Thresholding
Jie Shen
http://arxiv.org/abs/2007.03641v2
• [cs.LG]Online probabilistic label trees
Kalina Jasinska-Kobus, Marek Wydmuch, Devanathan Thiruvenkatachari, Krzysztof Dembczyński
http://arxiv.org/abs/2007.04451v1
• [cs.LG]Probabilistic Value Selection for Space Efficient Model
Gunarto Sindoro Njoo, Baihua Zheng, Kuo-Wei Hsu, Wen-Chih Peng
http://arxiv.org/abs/2007.04641v1
• [cs.LG]Prostate motion modelling using biomechanically-trained deep neural networks on unstructured nodes
Shaheer U. Saeed, Zeike A. Taylor, Mark A. Pinnock, Mark Emberton, Dean C. Barratt, Yipeng Hu
http://arxiv.org/abs/2007.04972v1
• [cs.LG]Recurrent Neural-Linear Posterior Sampling for Non-Stationary Contextual Bandits
Aditya Ramesh, Paulo Rauber, Jürgen Schmidhuber
http://arxiv.org/abs/2007.04750v1
• [cs.LG]Resource Aware Multifidelity Active Learning for Efficient Optimization
Francesco Grassi, Giorgio Manganini, Michele Garraffa, Laura Mainini
http://arxiv.org/abs/2007.04674v1
• [cs.LG]Robust Bayesian Classification Using an Optimistic Score Ratio
Viet Anh Nguyen, Nian Si, Jose Blanchet
http://arxiv.org/abs/2007.04458v1
• [cs.LG]SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
Kimin Lee, Michael Laskin, Aravind Srinivas, Pieter Abbeel
http://arxiv.org/abs/2007.04938v1
• [cs.LG]Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks
Jiaojiao Fan, Amirhossein Taghvaei, Yongxin Chen
http://arxiv.org/abs/2007.04462v1
• [cs.LG]SmaAt-UNet: Precipitation Nowcasting using a Small Attention-UNet Architecture
Kevin Trebing, Siamak Mehrkanoon
http://arxiv.org/abs/2007.04417v1
• [cs.LG]Training Restricted Boltzmann Machines with Binary Synapses using the Bayesian Learning Rule
Xiangming Meng
http://arxiv.org/abs/2007.04676v1
• [cs.LG]Transparency Tools for Fairness in AI (Luskin)
Mingliang Chen, Aria Shahverdi, Sarah Anderson, Se Yong Park, Justin Zhang, Dana Dachman-Soled, Kristin Lauter, Min Wu
http://arxiv.org/abs/2007.04484v1
• [cs.LG]URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks
Meet P. Vadera, Adam D. Cobb, Brian Jalaian, Benjamin M. Marlin
http://arxiv.org/abs/2007.04466v1
• [cs.LG]Unbiased Lift-based Bidding System
Daisuke Moriwaki, Yuta Hayakawa, Isshu Munemasa, Yuta Saito, Akira Matsui
http://arxiv.org/abs/2007.04002v2
• [cs.LG]Untapped Potential of Data Augmentation: A Domain Generalization Viewpoint
Vihari Piratla, Shiv Shankar
http://arxiv.org/abs/2007.04662v1
• [cs.LG]Wandering Within a World: Online Contextualized Few-Shot Learning
Mengye Ren, Michael L. Iuzzolino, Michael C. Mozer, Richard S. Zemel
http://arxiv.org/abs/2007.04546v1
• [cs.LG]When Humans and Machines Make Joint Decisions: A Non-Symmetric Bandit Model
Sebastian Bordt, Ulrike von Luxburg
http://arxiv.org/abs/2007.04800v1
• [cs.LO]Treewidth-Aware Complexity in ASP: Not all Positive Cycles are Equally Hard
Markus Hecher, Jorge Fandinno
http://arxiv.org/abs/2007.04620v1
• [cs.MA]Multi-Swarm Herding: Protecting against Adversarial Swarms
Vishnu S. Chipade, Dimitra Panagou
http://arxiv.org/abs/2007.04407v1
• [cs.NE]EOS: a Parallel, Self-Adaptive, Multi-Population Evolutionary Algorithm for Constrained Global Optimization
Lorenzo Federici, Boris Benedikter, Alessandro Zavoli
http://arxiv.org/abs/2007.04681v1
• [cs.NE]Long Short-Term Memory Spiking Networks and Their Applications
Ali Lotfi Rezaabad, Sriram Vishwanath
http://arxiv.org/abs/2007.04779v1
• [cs.NI]Challenges of AI in Wireless Networks for IoT
Ijaz Ahmad, Shahriar Shahabuddin, Tanesh Kumar, Erkki Harjula, Marcus Meisel, Markku Juntti, Thilo Sauter, Mika Ylianttila
http://arxiv.org/abs/2007.04705v1
• [cs.RO]An Interior Point Method Solving Motion Planning Problems with Narrow Passages
Jim Mainprice, Nathan Ratliff, Marc Toussaint, Stefan Schaal
http://arxiv.org/abs/2007.04842v1
• [cs.RO]Assistive VR Gym: Using Interactions with Real People to Improve Virtual Assistive Robots
Zackory Erickson, Yijun Gu, Charles C. Kemp
http://arxiv.org/abs/2007.04959v1
• [cs.RO]Computing High-Quality Clutter Removal Solutions for Multiple Robots
Wei N. Tang, Shuai D. Han, Jingjin Yu
http://arxiv.org/abs/2007.04856v1
• [cs.RO]Design and Development of a Robotic Vehicle for Shallow-Water Marine Inspections
Parag Tarwadi, Yuta Shiraki, Ori Ganoni, Shanghai Wei, Ho Seok Ahn, Bruce MacDonald
http://arxiv.org/abs/2007.04563v1
• [cs.RO]Learning to Switch CNNs with Model Agnostic Meta Learning for Fine Precision Visual Servoing
Prem Raj, Vinay P. Namboodiri, L. Behera
http://arxiv.org/abs/2007.04645v1
• [cs.RO]Robotic Grasping using Deep Reinforcement Learning
Shirin Joshi, Sulabh Kumra, Ferat Sahin
http://arxiv.org/abs/2007.04499v1
• [cs.RO]TEAM: Trilateration for Exploration and Mapping with Robotic Networks
Lillian Clark, Charles Andre, Joseph Galante, Bhaskar Krishnamachari, Konstantinos Psounis
http://arxiv.org/abs/2007.04376v1
• [cs.RO]TLIO: Tight Learned Inertial Odometry
Wenxin Liu, David Caruso, Eddy Ilg, Jing Dong, Anastasios I. Mourikis, Kostas Daniilidis, Vijay Kumar, Jakob Engel
http://arxiv.org/abs/2007.01867v2
• [cs.SD]Multi-task Regularization Based on Infrequent Classes for Audio Captioning
Emre Çakır, Konstantinos Drossos, Tuomas Virtanen
http://arxiv.org/abs/2007.04660v1
• [cs.SE]Application of LEAN Principles to Improve Business Processes: a Case Study in Latvian IT Company
Anastasija Nikiforova, Zane Bicevska
http://arxiv.org/abs/2007.04696v1
• [cs.SI]Client Network: An Interactive Model for Predicting New Clients
Massimiliano Mattetti, Akihiro Kishimoto, Adi Botea, Elizabeth Daly, Inge Vejsbjerg, Bei Chen, Öznur Alkan
http://arxiv.org/abs/2007.04810v1
• [cs.SI]Contrastive Multiple Correspondence Analysis (cMCA): Applying the Contrastive Learning Method to Identify Political Subgroups
Takanori Fujiwara, Tzu-Ping Liu
http://arxiv.org/abs/2007.04540v1
• [cs.SI]Emergence of Hierarchy in Networked Endorsement Dynamics
Mari Kawakatsu, Philip S. Chodrow, Nicole Eikmeier, Daniel B. Larremore
http://arxiv.org/abs/2007.04448v1
• [cs.SI]Network Modelling of Criminal Collaborations with Dynamic Bayesian Steady Evolutions
F. O. Bunnin, A. Shenvi, J. Q. Smith
http://arxiv.org/abs/2007.04410v1
• [cs.SI]Predictability of real temporal networks
Disheng Tang, Wenbo Du, Louis Shekhtman, Yijie Wang, Shlomo Havlin, Xianbin Cao, Gang Yan
http://arxiv.org/abs/2007.04828v1
• [econ.EM]Structural Gaussian mixture vector autoregressive model
Savi Virolainen
http://arxiv.org/abs/2007.04713v1
• [econ.EM]Time Series Analysis of COVID-19 Infection Curve: A Change-Point Perspective
Feiyu Jiang, Zifeng Zhao, Xiaofeng Shao
http://arxiv.org/abs/2007.04553v1
• [eess.AS]Capturing scattered discriminative information using a deep architecture in acoustic scene classification
Hye-jin Shim, Jee-weon Jung, Ju-ho Kim, Ha-jin Yu
http://arxiv.org/abs/2007.04631v1
• [eess.AS]DeepSinger: Singing Voice Synthesis with Data Mined From the Web
Yi Ren, Xu Tan, Tao Qin, Jian Luan, Zhou Zhao, Tie-Yan Liu
http://arxiv.org/abs/2007.04590v1
• [eess.IV]Automatic Probe Movement Guidance for Freehand Obstetric Ultrasound
Richard Droste, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble
http://arxiv.org/abs/2007.04480v1
• [eess.IV]Brain Tumor Anomaly Detection via Latent Regularized Adversarial Network
Nan Wang, Chengwei Chen, Yuan Xie, Lizhuang Ma
http://arxiv.org/abs/2007.04734v1
• [eess.IV]Efficient detection of adversarial images
Darpan Kumar Yadav, Kartik Mundra, Rahul Modpur, Arpan Chattopadhyay, Indra Narayan Kar
http://arxiv.org/abs/2007.04564v1
• [eess.IV]JBFnet — Low Dose CT Denoising by Trainable Joint Bilateral Filtering
Mayank Patwari, Ralf Gutjahr, Rainer Raupach, Andreas Maier
http://arxiv.org/abs/2007.04754v1
• [eess.IV]Journey Towards Tiny Perceptual Super-Resolution
Royson Lee, Łukasz Dudziak, Mohamed Abdelfattah, Stylianos I. Venieris, Hyeji Kim, Hongkai Wen, Nicholas D. Lane
http://arxiv.org/abs/2007.04356v1
• [eess.IV]Lightweight Image Super-Resolution with Enhanced CNN
Chunwei Tian, Ruibin Zhuge, Zhihao Wu, Yong Xu, Wangmeng Zuo, Chen Chen, Chia-Wen Li
http://arxiv.org/abs/2007.04344v1
• [eess.IV]Low Dose CT Denoising via Joint Bilateral Filtering and Intelligent Parameter Optimization
Mayank Patwari, Ralf Gutjahr, Rainer Raupach, Andreas Maier
http://arxiv.org/abs/2007.04768v1
• [eess.IV]Medical Instrument Detection in Ultrasound-Guided Interventions: A Review
Hongxu Yang, Caifeng Shan, Alexander F. Kolen, Peter H. N. de With
http://arxiv.org/abs/2007.04807v1
• [eess.IV]Modelling the Distribution of 3D Brain MRI using a 2D Slice VAE
Anna Volokitin, Ertunc Erdil, Neerav Karani, Kerem Can Tezcan, Xiaoran Chen, Luc Van Gool, Ender Konukoglu
http://arxiv.org/abs/2007.04780v1
• [eess.IV]Neural Video Coding using Multiscale Motion Compensation and Spatiotemporal Context Model
Haojie Liu, Ming Lu, Zhan Ma, Fan Wang, Zhihuang Xie, Xun Cao, Yao Wang
http://arxiv.org/abs/2007.04574v1
• [eess.SP]An Efficient Data Imputation Technique for Human Activity Recognition
Ivan Miguel Pires, Faisal Hussain, Nuno M. Garcia, Eftim Zdravevski
http://arxiv.org/abs/2007.04456v1
• [eess.SY]Remote Estimation in Decentralized Random Access Channels
Xingran Chen, Xinyu Liao, Shirin Saeedi Bidokhti
http://arxiv.org/abs/2007.03652v2
• [math.CO]Scattered subspaces and related codes
Giovanni Zini, Ferdinando Zullo
http://arxiv.org/abs/2007.04643v1
• [math.NA]A blueprint for building efficient Neural Network Differential Equation Solvers
Akshunna S. Dogra
http://arxiv.org/abs/2007.04433v1
• [math.NA]Solving Allen-Cahn and Cahn-Hilliard Equations using the Adaptive Physics Informed Neural Networks
Colby L. Wight, Jia Zhao
http://arxiv.org/abs/2007.04542v1
• [math.OC]An Integer Programming Approach to Deep Neural Networks with Binary Activation Functions
Bubacarr Bah, Jannis Kurtz
http://arxiv.org/abs/2007.03326v2
• [math.OC]Higher-order methods for convex-concave min-max optimization and monotone variational inequalities
Brian Bullins, Kevin A. Lai
http://arxiv.org/abs/2007.04528v1
• [math.PR]On Optimal Uniform Concentration Inequalities for Discrete Entropy in the High-dimensional Setting
Yunpeng Zhao
http://arxiv.org/abs/2007.04547v1
• [math.ST]Finite mixture models are typically inconsistent for the number of components
Diana Cai, Trevor Campbell, Tamara Broderick
http://arxiv.org/abs/2007.04470v1
• [math.ST]Minimax Efficient Finite-Difference Stochastic Gradient Estimators Using Black-Box Function Evaluations
Henry Lam, Haidong Li, Xuhui Zhang
http://arxiv.org/abs/2007.04443v1
• [physics.soc-ph]Incorporating social opinion in the evolution of an epidemic spread
Alejandro Carballosa, Mariamo Mussa-Juane, Alberto P. Muñuzuri
http://arxiv.org/abs/2007.04619v1
• [q-bio.MN]Identifying efficient controls of complex interaction networks using genetic algorithms
Victor-Bogdan Popescu, Krishna Kanhaiya, Iulian Năstac, Eugen Czeizler, Ion Petre
http://arxiv.org/abs/2007.04853v1
• [q-bio.PE]Racial Impact on Infections and Deaths due to COVID-19 in New York City
Yunseo Choi, James Unwin
http://arxiv.org/abs/2007.04743v1
• [quant-ph]Physics-inspired forms of the Bayesian Cramér-Rao bound
Mankei Tsang
http://arxiv.org/abs/2007.04849v1
• [quant-ph]Reformulation of the No-Fr
f04
ee-Lunch Theorem for Entangled Data Sets
Kunal Sharma, M. Cerezo, Zoë Holmes, Lukasz Cincio, Andrew Sornborger, Patrick J. Coles
http://arxiv.org/abs/2007.04900v1
• [stat.AP]Adding experimental treatment arms to Multi-Arm Multi-Stage platform trials in progress
Thomas Burnett, Franz König, Thomas Jaki
http://arxiv.org/abs/2007.04951v1
• [stat.AP]Beyond Scalar Treatment: A Causal Analysis of Hippocampal Atrophy on Behavioral Deficits in Alzheimer’s Studies
Dengdeng Yu, Linbo Wang, Dehan Kong, Hongtu Zhu
http://arxiv.org/abs/2007.04558v1
• [stat.AP]Non-proportional hazards in immuno-oncology: is an old perspective needed?
Dominic Magirr
http://arxiv.org/abs/2007.04767v1
• [stat.AP]Supervised Robust Profile Clustering
Briana Stephenson, Amy Herring, Andrew Olshan
http://arxiv.org/abs/2007.04509v1
• [stat.AP]Supplemental Studies for Simultaneous Goodness-of-Fit Testing
Wolfgang Rolke
http://arxiv.org/abs/2007.04727v1
• [stat.ME]Bayesian Computation in Dynamic Latent Factor Models
Isaac Lavine, Andrew Cron, Mike West
http://arxiv.org/abs/2007.04956v1
• [stat.ME]Causal Effects in Twin Studies: the Role of Interference
Bonnie Smith, Elizabeth L. Ogburn, Matt McGue, Saonli Basu, Daniel O. Scharfstein
http://arxiv.org/abs/2007.04511v1
• [stat.ME]Contour Models for Boundaries Enclosing Star-Shaped and Approximately Star-Shaped Polygons
Hannah M. Director, Adrian E. Raftery
http://arxiv.org/abs/2007.04386v1
• [stat.ME]Dissimilarity functions for rank-based hierarchical clustering of continuous variables
Sebastian Fuchs, F. Marta L. Di Lascio, Fabrizio Durante
http://arxiv.org/abs/2007.04799v1
• [stat.ME]Double spike Dirichlet priors for structured weighting
Huiming Lin, Meng Li
http://arxiv.org/abs/2007.04387v1
• [stat.ME]Estimation and inference on high-dimensional individualized treatment rule in observational data using split-and-pooled de-correlated score
Muxuan Liang, Young-Geun Choi, Yang Ning, Maureen A Smith, Ying-Qi Zhao
http://arxiv.org/abs/2007.04445v1
• [stat.ME]Generalised Bayes Updates with $f$-divergences through Probabilistic Classifiers
Owen Thomas, Henri Pesonen, Jukka Corander
http://arxiv.org/abs/2007.04358v1
• [stat.ME]Sparse Regression for Extreme Values
Andersen Chang, Minjie Wang, Genevera Allen
http://arxiv.org/abs/2007.04441v1
• [stat.ME]varTestnlme: Variance Components Testing in Linear and Nonlinear Mixed-effects Models
Charlotte Baey, Estelle Kuhn
http://arxiv.org/abs/2007.04791v1
• [stat.ML]Graph-Based Continual Learning
Binh Tang, David S. Matteson
http://arxiv.org/abs/2007.04813v1
• [stat.ML]Making learning more transparent using conformalized performance prediction
Matthew J. Holland
http://arxiv.org/abs/2007.04486v1
• [stat.ML]Online Approximate Bayesian learning
Mathieu Gerber, Randal Douc
http://arxiv.org/abs/2007.04803v1
• [stat.ML]Robust Geodesic Regression
Ha-Young Shin, Hee-Seok Oh
http://arxiv.org/abs/2007.04518v1
• [stat.ML]StructureBoost: Efficient Gradient Boosting for Structured Categorical Variables
Brian Lucena
http://arxiv.org/abs/2007.04446v1