cond-mat.dis-nn - 无序系统与神经网络
cs.AI - 人工智能 cs.AR - 硬件体系结构 cs.CG - 计算几何学 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.DL - 数字图书馆 cs.ET - 新兴技术 cs.HC - 人机接口 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.MM - 多媒体 cs.MS - 数学软件 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.HO - 历史与概述 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.chem-ph -化学物理 physics.soc-ph - 物理学与社会 q-bio.BM - 生物分子 q-bio.NC - 神经元与认知 q-bio.QM - 定量方法 q-fin.ST - 统计金融学 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
• [cond-mat.dis-nn]Rate Distortion Theorem and the Multicritical Point of Spin Glass
• [cs.AI]An Empirical Evaluation of Two General Game Systems: Ludii and RBG
• [cs.AI]An Overview of the Ludii General Game System
• [cs.AI]Analysis of the Synergy between Modularity and Autonomy in an Artificial Intelligence Based Fleet Competition
• [cs.AI]Elementary Iterated Revision and the Levi Identity
• [cs.AI]Investigating The Piece-Wise Linearity And Benchmark Related To Koczy-Hirota Fuzzy Linear Interpolation
• [cs.AI]Knowledge Graph Embedding for Ecotoxicological Effect Prediction
• [cs.AI]Ludii and XCSP: Playing and Solving Logic Puzzles
• [cs.AI]Ludii as a Competition Platform
• [cs.AI]Neural Network Verification for the Masses (of AI graduates)
• [cs.AI]Reinforcement Learning with Fairness Constraints for Resource Distribution in Human-Robot Teams
• [cs.AI]Requisite Variety in Ethical Utility Functions for AI Value Alignment
• [cs.AI]Visual analytics for team-based invasion sports with significant events and Markov reward process
• [cs.AR]On the Optimal Refresh Power Allocation for Energy-Efficient Memories
• [cs.CG]Exploring Feasible Design Spaces for Heterogeneous Constraints
• [cs.CL]A Neural Grammatical Error Correction System Built On Better Pre-training and Sequential Transfer Learning
• [cs.CL]A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Filling
• [cs.CL]Analyzing Utility of Visual Context in Multimodal Speech Recognition Under Noisy Conditions
• [cs.CL]Claim Extraction in Biomedical Publications using Deep Discourse Model and Transfer Learning
• [cs.CL]Constructing large scale biomedical knowledge bases from scratch with rapid annotation of interpretable patterns
• [cs.CL]Contextual Phonetic Pretraining for End-to-end Utterance-level Language and Speaker Recognition
• [cs.CL]Cooperative Generator-Discriminator Networks for Abstractive Summarization with Narrative Flow
• [cs.CL]Danish Stance Classification and Rumour Resolution
• [cs.CL]Do Transformer Attention Heads Provide Transparency in Abstractive Summarization?
• [cs.CL]EGG: a toolkit for research on Emergence of lanGuage in Games
• [cs.CL]Empirical Evaluation of Sequence-to-Sequence Models for Word Discovery in Low-resource Settings
• [cs.CL]Evaluating Language Model Finetuning Techniques for Low-resource Languages
• [cs.CL]Fake News Detection using Stance Classification: A Survey
• [cs.CL]Few-Shot Representation Learning for Out-Of-Vocabulary Words
• [cs.CL]GPT-based Generation for Classical Chinese Poetry
• [cs.CL]How we do things with words: Analyzing text as social and cultural data
• [cs.CL]HyST: A Hybrid Approach for Flexible and Accurate Dialogue State Tracking
• [cs.CL]Improving Robustness in Real-World Neural Machine Translation Engines
• [cs.CL]Inter and Intra Document Attention for Depression Risk Assessment
• [cs.CL]Is artificial data useful for biomedical Natural Language Processing
• [cs.CL]Katecheo: A Portable and Modular System for Multi-Topic Question Answering
• [cs.CL]Latent Dirichlet Allocation Based Acoustic Data Selection for Automatic Speech Recognition
• [cs.CL]Latent Variable Sentiment Grammar
• [cs.CL]Leveraging Acoustic Cues and Paralinguistic Embeddings to Detect Expression from Voice
• [cs.CL]Merge and Label: A novel neural network architecture for nested NER
• [cs.CL]Modernizing Historical Documents: a User Study
• [cs.CL]Multilingual Bottleneck Features for Query by Example Spoken Term Detection
• [cs.CL]Multilingual, Multi-scale and Multi-layer Visualization of Intermediate Representations
• [cs.CL]Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems
• [cs.CL]Natural Language Understanding with the Quora Question Pairs Dataset
• [cs.CL]Neural Machine Reading Comprehension: Methods and Trends
• [cs.CL]Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes
• [cs.CL]Post-editese: an Exacerbated Translationese
• [cs.CL]Self-Supervised Dialogue Learning
• [cs.CL]Sequence Labeling Parsing by Learning Across Representations
• [cs.CL]Synchronising audio and ultrasound by learning cross-modal embeddings
• [cs.CL]The CUED’s Grammatical Error Correction Systems for BEA-2019
• [cs.CL]The University of Sydney’s Machine Translation System for WMT19
• [cs.CL]Topic Modeling the Reading and Writing Behavior of Information Foragers
• [cs.CL]UltraSuite: A Repository of Ultrasound and Acoustic Data from Child Speech Therapy Sessions
• [cs.CL]Using Database Rule for Weak Supervised Text-to-SQL Generation
• [cs.CL]Weak Supervision Enhanced Generative Network for Question Generation
• [cs.CR]An Enhanced Electrocardiogram Biometric Authentication System Using Machine Learning
• [cs.CR]Collecting and Analyzing Multidimensional Data with Local Differential Privacy
• [cs.CR]Fooling a Real Car with Adversarial Traffic Signs
• [cs.CR]Machine Learning for Intelligent Authentication in 5G-and-Beyond Wireless Networks
• [cs.CR]Methodology for the Automated Metadata-Based Classification of Incriminating Digital Forensic Artefacts
• [cs.CR]Secure Mobile Technologies for Proactive Critical Infrastructure Situational Awareness
• [cs.CR]Taint analysis of the Bitcoin network
• [cs.CV]A Closest Point Proposal for MCMC-based Probabilistic Surface Registration
• [cs.CV]A Single Video Super-Resolution GAN for Multiple Downsampling Operators based on Pseudo-Inverse Image Formation Models
• [cs.CV]Adversarially Trained Deep Neural Semantic Hashing Scheme for Subjective Search in Fashion Inventory
• [cs.CV]An Analysis of Deep Neural Networks with Attention for Action Recognition from a Neurophysiological Perspective
• [cs.CV]An End-to-End Neural Network for Image Cropping by Learning Composition from Aesthetic Photos
• [cs.CV]An Integrated Image Filter for Enhancing Change Detection Results
• [cs.CV]Associative Embedding for Game-Agnostic Team Discrimination
• [cs.CV]Attribute-Driven Spontaneous Motion in Unpaired Image Translation
• [cs.CV]Brno Mobile OCR Dataset
• [cs.CV]CDTB: A Color and Depth Visual Object Tracking Dataset and Benchmark
• [cs.CV]CSSegNet: Fine-Grained Cardiac Structures Segmentation Using Dilated Pyramid Pooling in U-net
• [cs.CV]Cross-view Relation Networks for Mammogram Mass Detection
• [cs.CV]DeepTEGINN: Deep Learning Based Tools to Extract Graphs from Images of Neural Networks
• [cs.CV]Difficulty-aware Meta-Learning for Rare Disease Diagnosis
• [cs.CV]Diminishing the Effect of Adversarial Perturbations via Refining Feature Representation
• [cs.CV]Disentangled Makeup Transfer with Generative Adversarial Network
• [cs.CV]Dynamic Face Video Segmentation via Reinforcement Learning
• [cs.CV]Estimating brain age based on a healthy population with deep learning and structural MRI
• [cs.CV]FastDVDnet: Towards Real-Time Video Denoising Without Explicit Motion Estimation
• [cs.CV]Generative Guiding Block: Synthesizing Realistic Looking Variants Capable of Even Large Change Demands
• [cs.CV]Going Deeper with Point Networks
• [cs.CV]HO-3D: A Multi-User, Multi-Object Dataset for Joint 3D Hand-Object Pose Estimation
• [cs.CV]High-speed Railway Fastener Detection and Localization System
• [cs.CV]ICDAR 2019 Competition on Scene Text Visual Question Answering
• [cs.CV]ICDAR2019 Robust Reading Challenge on Multi-lingual Scene Text Detection and Recognition — RRC-MLT-2019
• [cs.CV]INN: Inflated Neural Networks for IPMN Diagnosis
• [cs.CV]Improving Borderline Adulthood Facial Age Estimation through Ensemble Learning
• [cs.CV]Inverse Attention Guided Deep Crowd Counting Network
• [cs.CV]Landmark Assisted CycleGAN for Cartoon Face Generation
• [cs.CV]Lane Detection and Classification using Cascaded CNNs
• [cs.CV]Language2Pose: Natural Language Grounded Pose Forecasting
• [cs.CV]Large Area 3D Human Pose Detection Via Stereo Reconstruction in Panoramic Cameras
• [cs.CV]Large-scale, real-time visual-inertial localization revisited
• [cs.CV]Learnable Gated Temporal Shift Module for Deep Video Inpainting
• [cs.CV]Learning Objectness from Sonar Images for Class-Independent Object Detection
• [cs.CV]Learning to Approximate Directional Fields Defined over 2D Planes
• [cs.CV]Learning to Blindly Assess Image Quality in the Laboratory and Wild
• [cs.CV]Learning to Find Correlated Features by Maximizing Information Flow in Convolutional Neural Networks
• [cs.CV]Learning to Generate Synthetic 3D Training Data through Hybrid Gradient
• [cs.CV]Learning to aggregate feature representations
• [cs.CV]Multi-Cue Vehicle Detection for Semantic Video Compression In Georegistered Aerial Videos
• [cs.CV]Multi-scale Template Matching with Scalable Diversity Similarity in an Unconstrained Environment
• [cs.CV]Multiple Landmark Detection using Multi-Agent Reinforcement Learning
• [cs.CV]Multiview Aggregation for Learning Category-Specific Shape Reconstruction
• [cs.CV]Nature Inspired Dimensional Reduction Technique for Fast and Invariant Visual Feature Extraction
• [cs.CV]Obj-GloVe: Scene-Based Contextual Object Embedding
• [cs.CV]One Network for Multi-Domains: Domain Adaptive Hashing with Intersectant Generative Adversarial Network
• [cs.CV]Online Multiple Pedestrian Tracking using Deep Temporal Appearance Matching Association
• [cs.CV]Pano Popups: Indoor 3D Reconstruction with a Plane-Aware Network
• [cs.CV]Pathologist-Level Grading of Prostate Biopsies with Artificial Intelligence
• [cs.CV]Permutohedral Attention Module for Efficient Non-Local Neural Networks
• [cs.CV]Predicting video saliency using crowdsourced mouse-tracking data
• [cs.CV]Procedure Planning in Instructional Videos
• [cs.CV]Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object Segmentation
• [cs.CV]Random Vector Functional Link Neural Network based Ensemble Deep Learning
• [cs.CV]Semi-Bagging Based Deep Neural Architecture to Extract Text from High Entropy Images
• [cs.CV]Spatio-thermal depth correction of RGB-D sensors based on Gaussian Processes in real-time
• [cs.CV]Stereo relative pose from line and point feature triplets
• [cs.CV]Symmetry Detection and Classification in Drawings of Graphs
• [cs.CV]TedEval: A Fair Evaluation Metric for Scene Text Detectors
• [cs.CV]The Ethical Dilemma when (not) Setting up Cost-based Decision Rules in Semantic Segmentation
• [cs.CV]The Resale Price Prediction of Secondhand Jewelry Items Using a Multi-modal Deep Model with Iterative Co-Attention
• [cs.CV]Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer
• [cs.CV]Training Auto-encoder-based Optimizers for Terahertz Image Reconstruction
• [cs.CV]Unsupervised Deformable Image Registration Using Cycle-Consistent CNN
• [cs.CV]Visual Space Optimization for Zero-shot Learning
• [cs.CV]Where are the Masks: Instance Segmentation with Image-level Supervision
• [cs.CV]XNect: Real-time Multi-person 3D Human Pose Estimation with a Single RGB Camera
• [cs.CY]Following wrong suggestions: self-blame in human and computer scenarios
• [cs.CY]Hidden in Plain Sight For Too Long: Using Text Mining Techniques to Shine a Light on Workplace Sexism and Sexual Harassment
• [cs.CY]Ich weiß, was du nächsten Sommer getan haben wirst: Predictive Policing in Österreich
• [cs.CY]Learning to Identify Patients at Risk of Uncontrolled Hypertension Using Electronic Health Records Data
• [cs.CY]Proof of Witness Presence: Blockchain Consensus for Augmented Democracy in Smart Cities
• [cs.CY]What, When and Where of petitions submitted to the UK Government during a time of chaos
• [cs.CY]YouTube Chatter: Understanding Online Comments Discourse on Misinformative and Political YouTube Videos
• [cs.DC]Asynchronous Communications Library for the Parallel-in-Time Solution of Black-Scholes Equation
• [cs.DC]Asynchronous Parareal Algorithm Applied to European Option Pricing
• [cs.DC]Bridging the Architecture Gap: Abstracting Performance-Relevant Properties of Modern Server Processors
• [cs.DC]Convergence Detection of Asynchronous Iterations based on Modified Recursive Doubling
• [cs.DC]Creek: a General Mixed-Consistency Transactional Replication Scheme
• [cs.DC]Distributed-Memory Load Balancing with Cyclic Token-based Work-Stealing Applied to Reverse Time Migration
• [cs.DC]Fully-Asynchronous Fully-Implicit Variable-Order Variable-Timestep Simulation of Neural Networks
• [cs.DC]Network-accelerated Distributed Machine Learning Using MLFabric
• [cs.DC]Open-MPI over MOSIX: paralleled computing in a clustered world
• [cs.DC]Parallel Performance of Molecular Dynamics Trajectory Analysis
• [cs.DC]Planting Trees for scalable and efficient Canonical Hub Labeling
• [cs.DC]State-of-the-Art on Query & Transaction Processing Acceleration
• [cs.DC]Themis: Fair and Efficient GPU Cluster Scheduling for Machine Learning Workloads
• [cs.DC]Understanding Fault Scenarios and Impacts through Fault Injection Experiments in Cielo
• [cs.DL]Infrastructure-Agnostic Hypertext
• [cs.ET]Composable Rate-Independent Computation in Continuous Chemical Reaction Networks
• [cs.HC]FVA: Modeling Perceived Friendliness of Virtual Agents Using Movement Characteristics
• [cs.HC]Simultaneous Achievement of Driver Assistance and Skill Development in Shared and Cooperative Controls
• [cs.IR]A Capsule Network for Recommendation and Explaining What You Like and Dislike
• [cs.IR]A Framework for Evaluating Snippet Generation for Dataset Search
• [cs.IR]A Review-Driven Neural Model for Sequential Recommendation
• [cs.IR]Dermtrainer: A Decision Support System for Dermatological Diseases
• [cs.IR]Effects of Foraging in Personalized Content-based Image Recommendation
• [cs.IR]Extracting Novel Facts from Tables for Knowledge Graph Completion (Extended version)
• [cs.IR]Learning to Reformulate the Queries on the WEB
• [cs.IR]Music Performance Analysis: A Survey
• [cs.IR]On Slicing Sorted Integer Sequences
• [cs.IR]One Size Does Not Fit All: Modeling Users’ Personal Curiosity in Recommender Systems
• [cs.IR]Prediction is very hard, especially about conversion. Predicting user purchases from clickstream data in fashion e-commerce
• [cs.IR]Representation, Exploration and Recommendation of Music Playlists
• [cs.IR]Semantic Driven Fielded Entity Retrieval
• [cs.IR]Semantic Product Search
• [cs.IT]”Machine LLRning”: Learning to Softly Demodulate
• [cs.IT]5G NR CA-Polar Maximum Likelihood Decoding by GRAND
• [cs.IT]A Direct Construction of Optimal ZCCS and IGC Code Set With Maximum Column Sequence PMEPR Two For MC-CDMA System
• [cs.IT]A Local Perspective on the Edge Removal Problem
• [cs.IT]Bundled Causal History Interaction
• [cs.IT]From Parameter Estimation to Dispersion of Nonstationary Gauss-Markov Processes
• [cs.IT]Mathematical Model of Emotional Habituation to Novelty: Modeling with Bayesian Update and Information Theory
• [cs.IT]Mismatched Guesswork
• [cs.IT]On an Equivalence Between Single-Server PIR with Side Information and Locally Recoverable Codes
• [cs.IT]On list decoding of 5G-NR polar codes
• [cs.IT]On the Sample Complexity of HGR Maximal Correlation Functions
• [cs.IT]On the list decodability of Rank Metric codes
• [cs.IT]Polar Codes with Memory
• [cs.IT]Predictive Network Control in Multi-Connectivity Mobility for URLLC Services
• [cs.IT]Private Authentication with Physical Identifiers Through Broadcast Channel Measurements
• [cs.IT]Quantization in Compressive Sensing: A Signal Processing Approach
• [cs.IT]Spatial Coded Modulation
• [cs.IT]Study of Rate-Splitting Techniques with Block Diagonalization for Multiuser MIMO Systems
• [cs.IT]Trading Off Computation with Transmission in Status Update Systems
• [cs.LG]A Framework For Identifying Group Behavior Of Wild Animals
• [cs.LG]A Semi-Supervised Self-Organizing Map for Clustering and Classification
• [cs.LG]A Semi-Supervised Self-Organizing Map with Adaptive Local Thresholds
• [cs.LG]Active Learning within Constrained Environments through Imitation of an Expert Questioner
• [cs.LG]An Iteratively Re-weighted Method for Problems with Sparsity-Inducing Norms
• [cs.LG]An Open Source AutoML Benchmark
• [cs.LG]An aggregate learning approach for interpretable semi-supervised population prediction and disaggregation using ancillary data
• [cs.LG]An innovative adaptive kriging approach for efficient binary classification of mechanical problems
• [cs.LG]Applying Transfer Learning To Deep Learned Models For EEG Analysis
• [cs.LG]Approximate Sherali-Adams Relaxations for MAP Inference via Entropy Regularization
• [cs.LG]Astraea: Self-balancing Federated Learning for Improving Classification Accuracy of Mobile Deep Learning Applications
• [cs.LG]Augmenting Self-attention with Persistent Memory
• [cs.LG]Avoiding Implementation Pitfalls of “Matrix Capsules with EM Routing” by Hinton et al
• [cs.LG]Bandit Learning Through Biased Maximum Likelihood Estimation
• [cs.LG]Best k-layer neural network approximations
• [cs.LG]Causal Inference Under Interference And Network Uncertainty
• [cs.LG]Comment on “Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network”
• [cs.LG]Conservative Q-Improvement: Reinforcement Learning for an Interpretable Decision-Tree Policy
• [cs.LG]Continual Learning for Robotics
• [cs.LG]Cosine similarity-based adversarial process
• [cs.LG]Deep Multi-Task Learning for Anomalous Driving Detection Using CAN Bus Scalar Sensor Data
• [cs.LG]Deep Residual Neural Networks for Audio Spoofing Detection
• [cs.LG]Detecting Spiky Corruption in Markov Decision Processes
• [cs.LG]Dissecting Pruned Neural Networks
• [cs.LG]Domain Adaptation via Low-Rank Basis Approximation
• [cs.LG]Efficient Regularized Piecewise-Linear Regression Trees
• [cs.LG]Equation Discovery for Nonlinear System Identification
• [cs.LG]Estimating Information-Theoretic Quantities with Random Forests
• [cs.LG]Exploiting Relevance for Online Decision-Making in High-Dimensions
• [cs.LG]Exponential Separations in Local Differential Privacy Through Communication Complexity
• [cs.LG]FRODO: Free rejection of out-of-distribution samples: application to chest x-ray analysis
• [cs.LG]FiDi-RL: Incorporating Deep Reinforcement Learning with Finite-Difference Policy Search for Efficient Learning of Continuous Control
• [cs.LG]Gaussian Mixture Marginal Distributions for Modelling Remaining Pipe Wall Thickness of Critical Water Mains in Non-Destructive Evaluation
• [cs.LG]Generalizing from a few environments in safety-critical reinforcement learning
• [cs.LG]Improving LSTM Neural Networks for Better Short-Term Wind Power Predictions
• [cs.LG]Isolation Kernel: The X Factor in Efficient and Effective Large Scale Online Kernel Learning
• [cs.LG]Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization
• [cs.LG]Learning World Graphs to Accelerate Hierarchical Reinforcement Learning
• [cs.LG]Learning the Arrow of Time
• [cs.LG]Learning to Traverse Latent Spaces for Musical Score Inpainting
• [cs.LG]Location Anomalies Detection for Connected and Autonomous Vehicles
• [cs.LG]ML-based Fault Injection for Autonomous Vehicles: A Case for Bayesian Fault Injection
• [cs.LG]MULEX: Disentangling Exploitation from Exploration in Deep RL
• [cs.LG]Mechanisms of Artistic Creativity in Deep Learning Neural Networks
• [cs.LG]Mincut pooling in Graph Neural Networks
• [cs.LG]Mixed-Variable Bayesian Optimization
• [cs.LG]Modeling Tabular data using Conditional GAN
• [cs.LG]Modified Actor-Critics
• [cs.LG]Multi-Label Product Categorization Using Multi-Modal Fusion Models
• [cs.LG]Multiplicative Models for Recurrent Language Modeling
• [cs.LG]Nearest-Neighbour-Induced Isolation Similarity and its Impact on Density-Based Clustering
• [cs.LG]Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks
• [cs.LG]Neural Logic Rule Layers
• [cs.LG]On Symmetry and Initialization for Neural Networks
• [cs.LG]On mechanisms for transfer using landmark value functions in multi-task lifelong reinforcement learning
• [cs.LG]Open Problem: The Oracle Complexity of Convex Optimization with Limited Memory
• [cs.LG]Operationalizing Individual Fairness with Pairwise Fair Representations
• [cs.LG]Predicting Treatment Initiation from Clinical Time Series Data via Graph-Augmented Time-Sensitive Model
• [cs.LG]Progressive Fashion Attribute Extraction
• [cs.LG]Rare Disease Detection by Sequence Modeling with Generative Adversarial Networks
• [cs.LG]Reproducibility in Machine Learning for Health
• [cs.LG]Robust Tensor Completion Using Transformed Tensor SVD
• [cs.LG]Robust and Resource Efficient Identification of Two Hidden Layer Neural Networks
• [cs.LG]Sample Adaptive Multiple Kernel Learning for Failure Prediction of Railway Points
• [cs.LG]Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization
• [cs.LG]Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
• [cs.LG]The Ramanujan Machine: Automatically Generated Conjectures on Fundamental Constants
• [cs.LG]The Sensitivity of Counterfactual Fairness to Unmeasured Confounding
• [cs.LG]The SpectACl of Nonconvex Clustering: A Spectral Approach to Density-Based Clustering
• [cs.LG]The Trustworthy Pal: Controlling the False Discovery Rate in Boolean Matrix Factorization
• [cs.LG]Tight Sensitivity Bounds For Smaller Coresets
• [cs.LG]Treant: Training Evasion-Aware Decision Trees
• [cs.LG]Two-stage Optimization for Machine Learning Workflow
• [cs.LG]Understanding Memory Modules on Learning Simple Algorithms
• [cs.LG]Universal audio synthesizer control with normalizing flows
• [cs.LG]Using Deep Learning to Predict Plant Growth and Yield in Greenhouse Environments
• [cs.LG]Variational Quantum Circuits and Deep Reinforcement Learning
• [cs.LG]Voting-Based Multi-Agent Reinforcement Learning
• [cs.LG]Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog
• [cs.LG]Weight Normalization based Quantization for Deep Neural Network Compression
• [cs.LG]iPool — Information-based Pooling in Hierarchical Graph Neural Networks
• [cs.MA]Collaboration of AI Agents via Cooperative Multi-Agent Deep Reinforcement Learning
• [cs.MM]Adaptive Music Composition for Games
• [cs.MS]GPU-based Parallel Computation Support for Stan
• [cs.MS]Solving Polynomial Systems with phcpy
• [cs.NE]A Hybrid Learning Rule for Efficient and Rapid Inference with Spiking Neural Networks
• [cs.NE]A Note On The Popularity of Stochastic Optimization Algorithms in Different Fields: A Quantitative Analysis from 2007 to 2017
• [cs.NE]ACM-DE: Adaptive p-best Cauchy Mutation with linear failure threshold reduction for Differential Evolution in numerical optimization
• [cs.NE]Multi-objective multi-generation Gaussian process optimizer for design optimization
• [cs.NE]On-chip learning in a conventional silicon MOSFET based Analog Hardware Neural Network
• [cs.NI]Service-based Routing at the Edge
• [cs.RO]A Joint Optimization Approach of LiDAR-Camera Fusion for Accurate Dense 3D Reconstructions
• [cs.RO]Active Learning of Probabilistic Movement Primitives
• [cs.RO]Asynchronous Behavior Trees with Memory aimed at Aerial Vehicles with Redundancy in Flight Controller
• [cs.RO]GarmNet: Improving Global with Local Perception for Robotic Laundry Folding
• [cs.RO]Memory of Motion for Warm-starting Trajectory Optimization
• [cs.RO]Model-free Friction Observers for Flexible Joint Robots with Torque Measurements
• [cs.RO]Neural Semantic Parsing with Anonymization for Command Understanding in General-Purpose Service Robots
• [cs.RO]On Training Flexible Robots using Deep Reinforcement Learning
• [cs.RO]Persistent Multi-UAV Surveillance with Data Latency Constraints
• [cs.RO]ROS 2 for RoboCup
• [cs.RO]Robust and Efficient Quadrotor Trajectory Generation for Fast Autonomous Flight
• [cs.RO]Teach-Repeat-Replan: A Complete and Robust System for Aggressive Flight in Complex Environments
• [cs.RO]Toward Asymptotically-Optimal Inspection Planning via Efficient Near-Optimal Graph Search
• [cs.SD]Can a Robot Hear the Shape and Dimensions of a Room?
• [cs.SD]Kite: Automatic speech recognition for unmanned aerial vehicles
• [cs.SD]WHAM!: Extending Speech Separation to Noisy Environments
• [cs.SE]A Scalable Architecture for Power Consumption Monitoring in Industrial Production Environments
• [cs.SI]A Semantic Approach for User-Brand Targeting in On-Line Social Networks
• [cs.SI]Generalized Random Surfer-Pair Models
• [cs.SI]Predicting the Topical Stance of Media and Popular Twitter Users
• [cs.SI]Unsupervised Adversarial Graph Alignment with Graph Embedding
• [econ.EM]Permutation inference with a finite number of heterogeneous clusters
• [eess.AS]Comparison of Lattice-Free and Lattice-Based Sequence Discriminative Training Criteria for LVCSR
• [eess.AS]Improving Performance of End-to-End ASR on Numeric Sequences
• [eess.AS]LSTM Language Models for LVCSR in First-Pass Decoding and Lattice-Rescoring
• [eess.AS]Speaker-independent classification of phonetic segments from raw ultrasound in child speech
• [eess.AS]Ultrasound tongue imaging for diarization and alignment of child speech therapy sessions
• [eess.IV]An Efficient Solution for Breast Tumor Segmentation and Classification in Ultrasound Images Using Deep Adversarial Learning
• [eess.IV]Automated Image Registration Quality Assessment Utilizing Deep-learning based Ventricle Extraction in Clinical Data
• [eess.IV]Bayesian Optimization on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization
• [eess.IV]Conditional Segmentation in Lieu of Image Registration
• [eess.IV]Dual Network Architecture for Few-view CT —Trained on ImageNet Data and Transferred for Medical Imaging
• [eess.IV]Generative Mask Pyramid Network forCT/CBCT Metal Artifact Reduction with Joint Projection-Sinogram Correction
• [eess.IV]Global Transformer U-Nets for Label-Free Prediction of Fluorescence Images
• [eess.IV]Improving the generalizability of convolutional neural network-based segmentation on CMR images
• [eess.IV]MobileGAN: Skin Lesion Segmentation Using a Lightweight Generative Adversarial Network
• [eess.IV]Multi-scale GANs for Memory-efficient Generation of High Resolution Medical Images
• [eess.IV]SLAM Endoscopy enhanced by adversarial depth prediction
• [eess.IV]Seismic data denoising and deblending using deep learning
• [eess.IV]Self-supervised Hyperspectral Image Restoration using Separable Image Prior
• [eess.IV]Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis
• [eess.SP]Base Station Antenna Selection for Low-Resolution ADC Systems
• [eess.SP]Beam Allocation for Millimeter-Wave MIMO Tracking Systems
• [eess.SP]Deep Learning for Hybrid 5G Services in Mobile Edge Computing Systems: Learn from a Digital Twin
• [eess.SP]Improved Circuit Design of Analog Joint Source Channel Coding for Low-power and Low-complexity Wireless Sensors
• [eess.SY]Automatic Real-time Anomaly Detection for Autonomous Aerial Vehicles
• [eess.SY]Distributed Global Output-Feedback Control for a Class of Euler-Lagrange Systems
• [math.HO]Male Under-performance in Undergraduate Engineering Mathematical Courses: Causes and Solution Strategy
• [math.NA]A data-driven approach for multiscale elliptic PDEs with random coefficients based on intrinsic dimension reduction
• [math.NA]Lossy Compression for Large Scale PDE Problems
• [math.OC]Competitive Algorithms for Online Budget-Constrained Continuous DR-Submodular Problems
• [math.OC]Conjugate Gradients and Accelerated Methods Unified: The Approximate Duality Gap View
• [math.OC]Efficient Algorithms for Smooth Minimax Optimization
• [math.OC]Online Continuous DR-Submodular Maximization with Long-Term Budget Constraints
• [math.OC]The Constrained $L_p$-$L_q$ Basis Pursuit Denoising Problem
• [math.PR]Constrained Monte Carlo Markov Chains on Graphs
• [math.ST]A New Lower Bound for Kullback-Leibler Divergence Based on Hammersley-Chapman-Robbins Bound
• [math.ST]A greedy algorithm for sparse precision matrix approximation
• [math.ST]Bounding Causes of Effects with Mediators
• [math.ST]Elicitability and Identifiability of Systemic Risk Measures and other Set-Valued Functionals
• [math.ST]Geodesic Distance Estimation with Spherelets
• [math.ST]Large-scale inference with block structure
• [math.ST]Multidimensional Scaling on Metric Measure Spaces
• [math.ST]Multiple Bayesian Filtering as Message Passing
• [math.ST]Power Lindley distribution and software metrics
• [math.ST]Robust analogues to the Coefficient of Variation
• [math.ST]Specification testing in semi-parametric transformation models
• [math.ST]Statistical estimation of the Kullback-Leibler divergence
• [math.ST]The generalized orthogonal Procrustes problem in the high noise regime
• [physics.chem-ph]Automatic Routing of Goldstone Diagrams using Genetic Algorithms
• [physics.chem-ph]Predicting Retrosynthetic Reaction using Self-Corrected Transformer Neural Networks
• [physics.soc-ph]Identifying vital nodes based on reverse greedy method
• [physics.soc-ph]Influence measures in subnetworks using vertex centrality
• [physics.soc-ph]Instability of social network dynamics with stubborn links
• [physics.soc-ph]The Role of Network Structure and Initial Group Norm Distributions in Norm Conflict
• [q-bio.BM]Molecular activity prediction using graph convolutional deep neural network considering distance on a molecular graph
• [q-bio.NC]A Power Efficient Artificial Neuron Using Superconducting Nanowires
• [q-bio.NC]Simple 1-D Convolutional Networks for Resting-State fMRI Based Classification in Autism
• [q-bio.NC]Unsupervised predictive coding models may explain visual brain representation
• [q-bio.QM]Neural parameters estimation for brain tumor growth modeling
• [q-fin.ST]Improved Forecasting of Cryptocurrency Price using Social Signals
• [quant-ph]Logical Clifford Synthesis for Stabilizer Codes
• [quant-ph]Quantum Data-Syndrome Codes
• [stat.AP]An Intrinsic Geometrical Approach for Statistical Process Control of Surface and Manifold Data
• [stat.AP]Applying Meta-Analytic Predictive Priors with the R Bayesian evidence synthesis tools
• [stat.AP]ICU Disparnumerophobia and Triskaidekaphobia: The ‘Irrational Care Unit’?
• [stat.AP]Large Volatility Matrix Prediction with High-Frequency Data
• [stat.AP]Wave-shape oscillatory model for biomedical time series with applications
• [stat.CO]trialr: Bayesian Clinical Trial Designs in R and Stan
• [stat.ME]Adaptive Partitioning Design and Analysis for Emulation of a Complex Computer Code
• [stat.ME]An outlier-robust Kalman filter with mixture correntropy
• [stat.ME]Bayesian Analysis of High-dimensional Discrete Graphical Models
• [stat.ME]Coupling techniques for nonlinear ensemble filtering
• [stat.ME]Estimating Treatment Effect under Additive Hazards Models with High-dimensional Covariates
• [stat.ME]Frequentist performances of Bayesian prediction intervals for random-effects meta-analysis
• [stat.ME]Multiple competition based FDR control
• [stat.ME]On Global-local Shrinkage Priors for Count Data
• [stat.ME]Penalized Variable Selection in Multi-Parameter Regression Survival Modelling
• [stat.ME]State-of-the-art in selection of variables and functional forms in multivariable analysis — outstanding issues
• [stat.ME]Transformed Naive Ratio and Product Based Estimators for Estimating Population Mode in Simple Random Sampling
• [stat.ME]Using Subset Log-Likelihoods to Trim Outliers in Gaussian Mixture Models
• [stat.ME]Volatility Analysis with Realized GARCH-Ito Models
• [stat.ML]A Kernel Stein Test for Comparing Latent Variable Models
• [stat.ML]A Unified Approach to Robust Mean Estimation
• [stat.ML]Accurate, reliable and fast robustness evaluation
• [stat.ML]Augmenting and Tuning Knowledge Graph Embeddings
• [stat.ML]Radial Bayesian Neural Networks: Robust Variational Inference In Big Models
• [stat.ML]Sparse regular variation
• [stat.ML]Time-to-Event Prediction with Neural Networks and Cox Regression
·····································
• [cond-mat.dis-nn]Rate Distortion Theorem and the Multicritical Point of Spin Glass
Tatsuto Murayama, Asaki Saito, Peter Davis
http://arxiv.org/abs/1907.01048v1
• [cs.AI]An Empirical Evaluation of Two General Game Systems: Ludii and RBG
Éric Piette, Matthew Stephenson, Dennis J. N. J. Soemers, Cameron Browne
http://arxiv.org/abs/1907.00244v1
• [cs.AI]An Overview of the Ludii General Game System
Matthew Stephenson, Éric Piette, Dennis J. N. J. Soemers, Cameron Browne
http://arxiv.org/abs/1907.00240v1
• [cs.AI]Analysis of the Synergy between Modularity and Autonomy in an Artificial Intelligence Based Fleet Competition
Xingyu Li, Mainak Mitra, Bogdan I. Epureanu
http://arxiv.org/abs/1907.01405v1
• [cs.AI]Elementary Iterated Revision and the Levi Identity
Jake Chandler, Richard Booth
http://arxiv.org/abs/1907.01224v1
• [cs.AI]Investigating The Piece-Wise Linearity And Benchmark Related To Koczy-Hirota Fuzzy Linear Interpolation
Maen Alzubi, Szilvester Kovács
http://arxiv.org/abs/1907.01047v1
• [cs.AI]Knowledge Graph Embedding for Ecotoxicological Effect Prediction
Erik B. Myklebust, Ernesto Jimenez-Ruiz, Jiaoyan Chen, Raoul Wolf, Knut Erik Tollefsen
http://arxiv.org/abs/1907.01328v1
• [cs.AI]Ludii and XCSP: Playing and Solving Logic Puzzles
Cédric Piette, Éric Piette, Matthew Stephenson, Dennis J. N. J. Soemers, Cameron Browne
http://arxiv.org/abs/1907.00245v1
• [cs.AI]Ludii as a Competition Platform
Matthew Stephenson, Éric Piette, Dennis J. N. J. Soemers, Cameron Browne
http://arxiv.org/abs/1907.00246v1
• [cs.AI]Neural Network Verification for the Masses (of AI graduates)
Ekaterina Komendantskaya, Rob Stewart, Kirsy Duncan, Daniel Kienitz, Pierre Le Hen, Pascal Bacchus
http://arxiv.org/abs/1907.01297v1
• [cs.AI]Reinforcement Learning with Fairness Constraints for Resource Distribution in Human-Robot Teams
Houston Claure, Yifang Chen, Jignesh Modi, Malte Jung, Stefanos Nikolaidis
http://arxiv.org/abs/1907.00313v1
• [cs.AI]Requisite Variety in Ethical Utility Functions for AI Value Alignment
Nadisha-Marie Aliman, Leon Kester
http://arxiv.org/abs/1907.00430v1
• [cs.AI]Visual analytics for team-based invasion sports with significant events and Markov reward process
Kun Zhao, Takayuki Osogami, Tetsuro Morimura
http://arxiv.org/abs/1907.01221v1
• [cs.AR]On the Optimal Refresh Power Allocation for Energy-Efficient Memories
Yongjune Kim, Won Ho Choi, Cyril Guyot, Yuval Cassuto
http://arxiv.org/abs/1907.01112v1
• [cs.CG]Exploring Feasible Design Spaces for Heterogeneous Constraints
Amir M. Mirzendehdel, Morad Behandish, Saigopal Nelaturi
http://arxiv.org/abs/1907.01117v1
• [cs.CL]A Neural Grammatical Error Correction System Built On Better Pre-training and Sequential Transfer Learning
Yo Joong Choe, Jiyeon Ham, Kyubyong Park, Yeoil Yoon
http://arxiv.org/abs/1907.01256v1
• [cs.CL]A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Filling
Haihong E, Peiqing Niu, Zhongfu Chen, Meina Song
http://arxiv.org/abs/1907.00390v1
• [cs.CL]Analyzing Utility of Visual Context in Multimodal Speech Recognition Under Noisy Conditions
Tejas Srinivasan, Ramon Sanabria, Florian Metze
http://arxiv.org/abs/1907.00477v1
• [cs.CL]Claim Extraction in Biomedical Publications using Deep Discourse Model and Transfer Learning
Titipat Achakulvisut, Chandra Bhagavatula, Daniel Acuna, Konrad Kording
http://arxiv.org/abs/1907.00962v1
• [cs.CL]Constructing large scale biomedical knowledge bases from scratch with rapid annotation of interpretable patterns
Julien Fauqueur, Ashok Thillaisundara, Theodosia Togia
http://arxiv.org/abs/1907.01417v1
• [cs.CL]Contextual Phonetic Pretraining for End-to-end Utterance-level Language and Speaker Recognition
Shaoshi Ling, Julian Salazar, Katrin Kirchhoff
http://arxiv.org/abs/1907.00457v1
• [cs.CL]Cooperative Generator-Discriminator Networks for Abstractive Summarization with Narrative Flow
Saadia Gabriel, Antoine Bosselut, Ari Holtzman, Kyle Lo, Asli Celikyilmaz, Yejin Choi
http://arxiv.org/abs/1907.01272v1
• [cs.CL]Danish Stance Classification and Rumour Resolution
Anders Edelbo Lillie, Emil Refsgaard Middelboe
http://arxiv.org/abs/1907.01304v1
• [cs.CL]Do Transformer Attention Heads Provide Transparency in Abstractive Summarization?
Joris Baan, Maartje ter Hoeve, Marlies van der Wees, Anne Schuth, Maarten de Rijke
http://arxiv.org/abs/1907.00570v1
• [cs.CL]EGG: a toolkit for research on Emergence of lanGuage in Games
Eugene Kharitonov, Rahma Chaabouni, Diane Bouchacourt, Marco Baroni
http://arxiv.org/abs/1907.00852v1
• [cs.CL]Empirical Evaluation of Sequence-to-Sequence Models for Word Discovery in Low-resource Settings
Marcely Zanon Boito, Aline Villavicencio, Laurent Besacier
http://arxiv.org/abs/1907.00184v1
• [cs.CL]Evaluating Language Model Finetuning Techniques for Low-resource Languages
Jan Christian Blaise Cruz, Charibeth Cheng
http://arxiv.org/abs/1907.00409v1
• [cs.CL]Fake News Detection using Stance Classification: A Survey
Anders Edelbo Lillie, Emil Refsgaard Middelboe
http://arxiv.org/abs/1907.00181v1
• [cs.CL]Few-Shot Representation Learning for Out-Of-Vocabulary Words
Ziniu Hu, Ting Chen, Kai-Wei Chang, Yizhou Sun
http://arxiv.org/abs/1907.00505v1
• [cs.CL]GPT-based Generation for Classical Chinese Poetry
Yi Liao, Yasheng Wang, Qun Liu, Xin Jiang
http://arxiv.org/abs/1907.00151v2
• [cs.CL]How we do things with words: Analyzing text as social and cultural data
Dong Nguyen, Maria Liakata, Simon DeDeo, Jacob Eisenstein, David Mimno, Rebekah Tromble, Jane Winters
http://arxiv.org/abs/1907.01468v1
• [cs.CL]HyST: A Hybrid Approach for Flexible and Accurate Dialogue State Tracking
Rahul Goel, Shachi Paul, Dilek Hakkani-Tür
http://arxiv.org/abs/1907.00883v1
• [cs.CL]Improving Robustness in Real-World Neural Machine Translation Engines
Rohit Gupta, Patrik Lambert, Raj Nath Patel, John Tinsley
http://arxiv.org/abs/1907.01279v1
• [cs.CL]Inter and Intra Document Attention for Depression Risk Assessment
Diego Maupomé, Marc Queudot, Marie-Jean Meurs
http://arxiv.org/abs/1907.00462v1
• [cs.CL]Is artificial data useful for biomedical Natural Language Processing
Zixu Wang, Julia Ive, Sumithra Velupillai, Lucia Specia
http://arxiv.org/abs/1907.01055v1
• [cs.CL]Katecheo: A Portable and Modular System for Multi-Topic Question Answering
Shirish Hirekodi, Seban Sunny, Leonard Topno, Alwin Daniel, Daniel Whitenack, Reuben Skewes, Stuart Cranney
http://arxiv.org/abs/1907.00854v1
• [cs.CL]Latent Dirichlet Allocation Based Acoustic Data Selection for Automatic Speech Recognition
Mortaza, Doulaty, Thomas Hain
http://arxiv.org/abs/1907.01302v1
• [cs.CL]Latent Variable Sentiment Grammar
Liwen Zhang, Kewei Tu, Yue Zhang
http://arxiv.org/abs/1907.00218v1
• [cs.CL]Leveraging Acoustic Cues and Paralinguistic Embeddings to Detect Expression from Voice
Vikramjit Mitra, Sue Booker, Erik Marchi, David Scott Farrar, Ute Dorothea Peitz, Bridget Cheng, Ermine Teves, Anuj Mehta, Devang Naik
http://arxiv.org/abs/1907.00112v1
• [cs.CL]Merge and Label: A novel neural network architecture for nested NER
Joseph Fisher, Andreas Vlachos
http://arxiv.org/abs/1907.00464v1
• [cs.CL]Modernizing Historical Documents: a User Study
Miguel Domingo, Francisco Casacuberta
http://arxiv.org/abs/1907.00659v1
• [cs.CL]Multilingual Bottleneck Features for Query by Example Spoken Term Detection
Dhananjay Ram, Lesly Miculicich, Hervé Bourlard
http://arxiv.org/abs/1907.00443v1
• [cs.CL]Multilingual, Multi-scale and Multi-layer Visualization of Intermediate Representations
Carlos Escolano, Marta R. Costa-jussà, Elora Lacroux, Pere-Pau Vázquez
http://arxiv.org/abs/1907.00810v1
• [cs.CL]Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems
Hung Le, Doyen Sahoo, Nancy F. Chen, Steven C. H. Hoi
http://arxiv.org/abs/1907.01166v1
• [cs.CL]Natural Language Understanding with the Quora Question Pairs Dataset
Lakshay Sharma, Laura Graesser, Nikita Nangia, Utku Evci
http://arxiv.org/abs/1907.01041v1
• [cs.CL]Neural Machine Reading Comprehension: Methods and Trends
Shanshan Liu, Xin Zhang, Sheng Zhang, Hui Wang, Weiming Zhang
http://arxiv.org/abs/1907.01118v1
• [cs.CL]Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes
Jie Cao, Michael Tanana, Zac E. Imel, Eric Poitras, David C. Atkins, Vivek Srikumar
http://arxiv.org/abs/1907.00326v1
• [cs.CL]Post-editese: an Exacerbated Translationese
Antonio Toral
http://arxiv.org/abs/1907.00900v1
• [cs.CL]Self-Supervised Dialogue Learning
Jiawei Wu, Xin Wang, William Yang Wang
http://arxiv.org/abs/1907.00448v1
• [cs.CL]Sequence Labeling Parsing by Learning Across Representations
Michalina Strzyz, David Vilares, Carlos Gómez-Rodríguez
http://arxiv.org/abs/1907.01339v1
• [cs.CL]Synchronising audio and ultrasound by learning cross-modal embeddings
Aciel Eshky, Manuel Sam Ribeiro, Korin Richmond, Steve Renals
http://arxiv.org/abs/1907.00758v1
• [cs.CL]The CUED’s Grammatical Error Correction Systems for BEA-2019
Felix Stahlberg, Bill Byrne
http://arxiv.org/abs/1907.00168v1
• [cs.CL]The University of Sydney’s Machine Translation System for WMT19
Liang Ding, Dacheng Tao
http://arxiv.org/abs/1907.00494v1
• [cs.CL]Topic Modeling the Reading and Writing Behavior of Information Foragers
Jaimie Murdock
http://arxiv.org/abs/1907.00488v1
• [cs.CL]UltraSuite: A Repository of Ultrasound and Acoustic Data from Child Speech Therapy Sessions
Aciel Eshky, Manuel Sam Ribeiro, Joanne Cleland, Korin Richmond, Zoe Roxburgh, James Scobbie, Alan Wrench
http://arxiv.org/abs/1907.00835v1
• [cs.CL]Using Database Rule for Weak Supervised Text-to-SQL Generation
Tong Guo, Huilin Gao
http://arxiv.org/abs/1907.00620v1
• [cs.CL]Weak Supervision Enhanced Generative Network for Question Generation
Yutong Wang, Jiyuan Zheng, Qijiong Liu, Zhou Zhao, Jun Xiao, Yueting Zhuang
http://arxiv.org/abs/1907.00607v1
• [cs.CR]An Enhanced Electrocardiogram Biometric Authentication System Using Machine Learning
Ebrahim Al Alkeem, Song-Kyoo Kim, Chan Yeob Yeun, M. Jamal Zemerly, Kin Poon, Paul D. Yoo
http://arxiv.org/abs/1907.00366v1
• [cs.CR]Collecting and Analyzing Multidimensional Data with Local Differential Privacy
Ning Wang, Xiaokui Xiao, Yin Yang, Jun Zhao, Siu Cheung Hui, Hyejin Shin, Junbum Shin, Ge Yu
http://arxiv.org/abs/1907.00782v1
• [cs.CR]Fooling a Real Car with Adversarial Traffic Signs
Nir Morgulis, Alexander Kreines, Shachar Mendelowitz, Yuval Weisglass
http://arxiv.org/abs/1907.00374v1
• [cs.CR]Machine Learning for Intelligent Authentication in 5G-and-Beyond Wireless Networks
He Fang, Xianbin Wang, Stefano Tomasin
http://arxiv.org/abs/1907.00429v1
• [cs.CR]Methodology for the Automated Metadata-Based Classification of Incriminating Digital Forensic Artefacts
Xiaoyu Du, Mark Scanlon
http://arxiv.org/abs/1907.01421v1
• [cs.CR]Secure Mobile Technologies for Proactive Critical Infrastructure Situational Awareness
Gabriel Salles-Loustau, Vidyasagar Sadhu, Dario Pompili, Saman Zonouz, Vincent Sritapan
http://arxiv.org/abs/1907.00332v1
• [cs.CR]Taint analysis of the Bitcoin network
Uroš Hercog, Andraž Povše
http://arxiv.org/abs/1907.01538v1
• [cs.CV]A Closest Point Proposal for MCMC-based Probabilistic Surface Registration
Dennis Madsen, Andreas Morel-Forster, Patrick Kahr, Dana Rahbani, Thomas Vetter, Marcel Lüthi
http://arxiv.org/abs/1907.01414v1
• [cs.CV]A Single Video Super-Resolution GAN for Multiple Downsampling Operators based on Pseudo-Inverse Image Formation Models
Santiago López-Tapia, Alice Lucas, Rafael Molina, Aggelos K. Katsaggelos
http://arxiv.org/abs/1907.01399v1
• [cs.CV]Adversarially Trained Deep Neural Semantic Hashing Scheme for Subjective Search in Fashion Inventory
Saket Singh, Debdoot Sheet, Mithun Dasgupta
http://arxiv.org/abs/1907.00382v1
• [cs.CV]An Analysis of Deep Neural Networks with Attention for Action Recognition from a Neurophysiological Perspective
Swathikiran Sudhakaran, Oswald Lanz
http://arxiv.org/abs/1907.01273v1
• [cs.CV]An End-to-End Neural Network for Image Cropping by Learning Composition from Aesthetic Photos
Peng Lu, Hao Zhang, Xujun Peng, Xiaofu Jin
http://arxiv.org/abs/1907.01432v1
• [cs.CV]An Integrated Image Filter for Enhancing Change Detection Results
Dawei Li, Siyuan Yan, Xin Cai, Yan Cao, Sifan Wang
http://arxiv.org/abs/1907.01301v1
• [cs.CV]Associative Embedding for Game-Agnostic Team Discrimination
Maxime Istasse, Julien Moreau, Christophe De Vleeschouwer
http://arxiv.org/abs/1907.01058v1
• [cs.CV]Attribute-Driven Spontaneous Motion in Unpaired Image Translation
Ruizheng Wu, Xin Tao, Xiaodong Gu, Xiaoyong Shen, Jiaya Jia
http://arxiv.org/abs/1907.01452v1
• [cs.CV]Brno Mobile OCR Dataset
Martin Kišš, Michal Hradiš, Oldřich Kodym
http://arxiv.org/abs/1907.01307v1
• [cs.CV]CDTB: A Color and Depth Visual Object Tracking Dataset and Benchmark
Alan Lukežič, Ugur Kart, Jani Käpylä, Ahmed Durmush, Joni-Kristian Kämäräinen, Jiří Matas, Matej Kristan
http://arxiv.org/abs/1907.00618v1
• [cs.CV]CSSegNet: Fine-Grained Cardiac Structures Segmentation Using Dilated Pyramid Pooling in U-net
Fei Feng, Jiajia Luo
http://arxiv.org/abs/1907.01390v1
• [cs.CV]Cross-view Relation Networks for Mammogram Mass Detection
Jiechao Ma, Sen Liang, Xiang Li, Hongwei Li, Bjoern H Menze, Rongguo Zhang, Wei-Shi Zheng
http://arxiv.org/abs/1907.00528v1
• [cs.CV]DeepTEGINN: Deep Learning Based Tools to Extract Graphs from Images of Neural Networks
Gustavo Borges Moreno e Mello, Vibeke Devold Valderhaug, Sidney Pontes-Filho, Evi Zouganeli, Ioanna Sandvig, Stefano Nichele
http://arxiv.org/abs/1907.01062v1
• [cs.CV]Difficulty-aware Meta-Learning for Rare Disease Diagnosis
Xiaomeng Li, Lequan Yu, Chi-Wing Fu, Pheng-Ann Heng
http://arxiv.org/abs/1907.00354v1
• [cs.CV]Diminishing the Effect of Adversarial Perturbations via Refining Feature Representation
Nader Asadi, AmirMohammad Sarfi, Sahba Tahsini, Mahdi Eftekhari
http://arxiv.org/abs/1907.01023v1
• [cs.CV]Disentangled Makeup Transfer with Generative Adversarial Network
Honglun Zhang, Wenqing Chen, Hao He, Yaohui Jin
http://arxiv.org/abs/1907.01144v1
• [cs.CV]Dynamic Face Video Segmentation via Reinforcement Learning
Yujiang Wang, Jie Shen, Mingzhi Dong, Yang Wu, Shiyang Cheng, Maja Pantic
http://arxiv.org/abs/1907.01296v1
• [cs.CV]Estimating brain age based on a healthy population with deep learning and structural MRI
Xinyang Feng, Zachary C. Lipton, Jie Yang, Scott A. Small, Frank A. Provenzano
http://arxiv.org/abs/1907.00943v1
• [cs.CV]FastDVDnet: Towards Real-Time Video Denoising Without Explicit Motion Estimation
Matias Tassano, Julie Delon, Thomas Veit
http://arxiv.org/abs/1907.01361v1
• [cs.CV]Generative Guiding Block: Synthesizing Realistic Looking Variants Capable of Even Large Change Demands
Minho Park, Hak Gu Kim, Yong Man Ro
http://arxiv.org/abs/1907.01187v1
• [cs.CV]Going Deeper with Point Networks
Eric-Tuan Le, Iasonas Kokkinos, Niloy J. Mitra
http://arxiv.org/abs/1907.00960v1
• [cs.CV]HO-3D: A Multi-User, Multi-Object Dataset for Joint 3D Hand-Object Pose Estimation
Shreyas Hampali, Markus Oberweger, Mahdi Rad, Vincent Lepetit
http://arxiv.org/abs/1907.01481v1
• [cs.CV]High-speed Railway Fastener Detection and Localization System
Qing Song, Yao Guo, Lu Yang, Jianan Jiang, Chun Liu, Mengjie Hu
http://arxiv.org/abs/1907.01141v1
• [cs.CV]ICDAR 2019 Competition on Scene Text Visual Question Answering
Ali Furkan Biten, Rubèn Tito, Andres Mafla, Lluis Gomez, Marçal Rusiñol, Minesh Mathew, C. V. Jawahar, Ernest Valveny, Dimosthenis Karatzas
http://arxiv.org/abs/1907.00490v1
• [cs.CV]ICDAR2019 Robust Reading Challenge on Multi-lingual Scene Text Detection and Recognition — RRC-MLT-2019
Nibal Nayef, Yash Patel, Michal Busta, Pinaki Nath Chowdhury, Dimosthenis Karatzas, Wafa Khlif, Jiri Matas, Umapada Pal, Jean-Christophe Burie, Cheng-lin Liu, Jean-Marc Ogier
http://arxiv.org/abs/1907.00945v1
• [cs.CV]INN: Inflated Neural Networks for IPMN Diagnosis
Rodney LaLonde, Irene Tanner, Katerina Nikiforaki, Georgios Z. Papadakis, Pujan Kandel, Candice W. Bolan, Michael B. Wallace, Ulas Bagci
http://arxiv.org/abs/1907.00437v1
• [cs.CV]Improving Borderline Adulthood Facial Age Estimation through Ensemble Learning
Felix Anda, David Lillis, Aikaterini Kanta, Brett A. Becker, Elias Bou-Harb, Nhien-An Le-Khac, Mark Scanlon
http://arxiv.org/abs/1907.01427v1
• [cs.CV]Inverse Attention Guided Deep Crowd Counting Network
Vishwanath A. Sindagi, Vishal M. Patel
http://arxiv.org/abs/1907.01193v1
• [cs.CV]Landmark Assisted CycleGAN for Cartoon Face Generation
Ruizheng Wu, Xiaodong Gu, Xin Tao, Xiaoyong Shen, Yu-Wing Tai, Jiaya Jia
http://arxiv.org/abs/1907.01424v1
• [cs.CV]Lane Detection and Classification using Cascaded CNNs
Fabio Pizzati, Marco Allodi, Alejandro Barrera, Fernando García
http://arxiv.org/abs/1907.01294v1
• [cs.CV]Language2Pose: Natural Language Grounded Pose Forecasting
Chaitanya Ahuja, Louis-Philippe Morency
http://arxiv.org/abs/1907.01108v1
• [cs.CV]Large Area 3D Human Pose Detection Via Stereo Reconstruction in Panoramic Cameras
Christoph Heindl, Thomas Pönitz, Andreas Pichler, Josef Scharinger
http://arxiv.org/abs/1907.00534v1
• [cs.CV]Large-scale, real-time visual-inertial localization revisited
Simon Lynen, Bernhard Zeisl, Dror Aiger, Michael Bosse, Joel Hesch, Marc Pollefeys, Roland Siegwart, Torsten Sattler
http://arxiv.org/abs/1907.00338v1
• [cs.CV]Learnable Gated Temporal Shift Module for Deep Video Inpainting
Ya-Liang Chang, Zhe Yu Liu, Kuan-Ying Lee, Winston Hsu
http://arxiv.org/abs/1907.01131v1
• [cs.CV]Learning Objectness from Sonar Images for Class-Independent Object Detection
Matias Valdenegro-Toro
http://arxiv.org/abs/1907.00734v1
• [cs.CV]Learning to Approximate Directional Fields Defined over 2D Planes
Maria Taktasheva, Albert Matveev, Alexey Artemov, Evgeny Burnaev
http://arxiv.org/abs/1907.00559v1
• [cs.CV]Learning to Blindly Assess Image Quality in the Laboratory and Wild
Weixia Zhang, Kede Ma, Xiaokang Yang
http://arxiv.org/abs/1907.00516v1
• [cs.CV]Learning to Find Correlated Features by Maximizing Information Flow in Convolutional Neural Networks
Wei Shen, Fei Li, Rujie Liu
http://arxiv.org/abs/1907.00348v1
• [cs.CV]Learning to Generate Synthetic 3D Training Data through Hybrid Gradient
Dawei Yang, Jia Deng
http://arxiv.org/abs/1907.00267v1
• [cs.CV]Learning to aggregate feature representations
Guy Gaziv
http://arxiv.org/abs/1907.01034v1
• [cs.CV]Multi-Cue Vehicle Detection for Semantic Video Compression In Georegistered Aerial Videos
Noor Al-Shakarji, Filiz Bunyak, Hadi Aliakbarpour, Guna Seetharaman, Kannappan Palaniappan
http://arxiv.org/abs/1907.01176v1
• [cs.CV]Multi-scale Template Matching with Scalable Diversity Similarity in an Unconstrained Environment
Yi Zhang, Chao Zhang, Takuya Akashi
http://arxiv.org/abs/1907.01150v1
• [cs.CV]Multiple Landmark Detection using Multi-Agent Reinforcement Learning
Athanasios Vlontzos, Amir Alansary, Konstantinos Kamnitsas, Daniel Rueckert, Bernhard Kainz
http://arxiv.org/abs/1907.00318v1
• [cs.CV]Multiview Aggregation for Learning Category-Specific Shape Reconstruction
Srinath Sridhar, Davis Rempe, Julien Valentin, Sofien Bouaziz, Leonidas J. Guibas
http://arxiv.org/abs/1907.01085v1
• [cs.CV]Nature Inspired Dimensional Reduction Technique for Fast and Invariant Visual Feature Extraction
Ravimal Bandara, Lochandaka Ranathunga, Nor Aniza Abdullah
http://arxiv.org/abs/1907.01102v1
• [cs.CV]Obj-GloVe: Scene-Based Contextual Object Embedding
Canwen Xu, Zhenzhong Chen, Chenliang Li
http://arxiv.org/abs/1907.01478v1
• [cs.CV]One Network for Multi-Domains: Domain Adaptive Hashing with Intersectant Generative Adversarial Network
Tao He, Yuan-Fang Li, Lianli Gao, Dongxiang Zhang, Jingkuan Song
http://arxiv.org/abs/1907.00612v1
• [cs.CV]Online Multiple Pedestrian Tracking using Deep Temporal Appearance Matching Association
Young-Chul Yoon, Du Yong Kim, Kwangjin Yoon, Young-min Song, Moongu Jeon
http://arxiv.org/abs/1907.00831v1
• [cs.CV]Pano Popups: Indoor 3D Reconstruction with a Plane-Aware Network
Marc Eder, Pierre Moulon, Li Guan
http://arxiv.org/abs/1907.00939v1
• [cs.CV]Pathologist-Level Grading of Prostate Biopsies with Artificial Intelligence
Peter Ström, Kimmo Kartasalo, Henrik Olsson, Leslie Solorzano, Brett Delahunt, Daniel M. Berney, David G. Bostwick, Andrew J. Evans, David J. Grignon, Peter A. Humphrey, Kenneth A. Iczkowski, James G. Kench, Glen Kristiansen, Theodorus H. van der Kwast, Katia R. M. Leite, Jesse K. McKenney, Jon Oxley, Chin-Chen Pan, Hemamali Samaratunga, John R. Srigley, Hiroyuki Takahashi, Toyonori Tsuzuki, Murali Varma, Ming Zhou, Johan Lindberg, Cecilia Bergström, Pekka Ruusuvuori, Carolina Wählby, Henrik Grönberg, Mattias Rantalainen, Lars Egevad, Martin Eklund
http://arxiv.org/abs/1907.01368v1
• [cs.CV]Permutohedral Attention Module for Efficient Non-Local Neural Networks
Samuel Joutard, Reuben Dorent, Amanda Isaac, Sebastien Ourselin, Tom Vercauteren, Marc Modat
http://arxiv.org/abs/1907.00641v1
• [cs.CV]Predicting video saliency using crowdsourced mouse-tracking data
Vitaliy Lyudvichenko, Dmitriy Vatolin
http://arxiv.org/abs/1907.00480v1
• [cs.CV]Procedure Planning in Instructional Videos
Chien-Yi Chang, De-An Huang, Danfei Xu, Ehsan Adeli, Li Fei-Fei, Juan Carlos Niebles
http://arxiv.org/abs/1907.01172v1
• [cs.CV]Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object Segmentation
Qiang Zhou, Zilong Huang, Xinggang Wang, Yongchao Gong, Han Shen, Lichao Huang, Chang Huang, Wenyu Liu
http://arxiv.org/abs/1907.01203v1
• [cs.CV]Random Vector Functional Link Neural Network based Ensemble Deep Learning
Rakesh Katuwal, P. N. Suganthan, M. Tanveer
http://arxiv.org/abs/1907.00350v1
• [cs.CV]Semi-Bagging Based Deep Neural Architecture to Extract Text from High Entropy Images
Pranay Dugar, Anirban Chatterjee, Rajesh Shreedhar Bhat, Saswata Sahoo
http://arxiv.org/abs/1907.01284v1
• [cs.CV]Spatio-thermal depth correction of RGB-D sensors based on Gaussian Processes in real-time
Christoph Heindl, Thomas Pönitz, Gernot Stübl, Andreas Pichler, Josef Scharinger
http://arxiv.org/abs/1907.00549v1
• [cs.CV]Stereo relative pose from line and point feature triplets
Alexander Vakhitov, Victor Lempitsky, Yinqiang Zheng
http://arxiv.org/abs/1907.00276v1
• [cs.CV]Symmetry Detection and Classification in Drawings of Graphs
Felice De Luca, Md Iqbal Hossain, Stephen Kobourov
http://arxiv.org/abs/1907.01004v1
• [cs.CV]TedEval: A Fair Evaluation Metric for Scene Text Detectors
Chae Young Lee, Youngmin Baek, Hwalsuk Lee
http://arxiv.org/abs/1907.01227v1
• [cs.CV]The Ethical Dilemma when (not) Setting up Cost-based Decision Rules in Semantic Segmentation
Robin Chan, Matthias Rottmann, Radin Dardashti, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
http://arxiv.org/abs/1907.01342v1
• [cs.CV]The Resale Price Prediction of Secondhand Jewelry Items Using a Multi-modal Deep Model with Iterative Co-Attention
Yusuke Yamaura, Nobuya Kanemaki, Yukihiro Tsuboshita
http://arxiv.org/abs/1907.00661v1
• [cs.CV]Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer
Katrin Lasinger, René Ranftl, Konrad Schindler, Vladlen Koltun
http://arxiv.org/abs/1907.01341v1
• [cs.CV]Training Auto-encoder-based Optimizers for Terahertz Image Reconstruction
Tak Ming Wong, Matthias Kahl, Peter Haring Bolívar, Andreas Kolb, Michael Möller
http://arxiv.org/abs/1907.01377v1
• [cs.CV]Unsupervised Deformable Image Registration Using Cycle-Consistent CNN
Boah Kim, Jieun Kim, June-Goo Lee, Dong Hwan Kim, Seong Ho Park, Jong Chul Ye
http://arxiv.org/abs/1907.01319v1
• [cs.CV]Visual Space Optimization for Zero-shot Learning
Xinsheng Wang, Shanmin Pang, Jihua Zhu, Zhongyu Li, Zhiqiang Tian, Yaochen Li
http://arxiv.org/abs/1907.00330v1
• [cs.CV]Where are the Masks: Instance Segmentation with Image-level Supervision
Issam H. Laradji, David Vazquez, Mark Schmidt
http://arxiv.org/abs/1907.01430v1
• [cs.CV]XNect: Real-time Multi-person 3D Human Pose Estimation with a Single RGB Camera
Dushyant Mehta, Oleksandr Sotnychenko, Franziska Mueller, Weipeng Xu, Mohamed Elgharib, Pascal Fua, Hans-Peter Seidel, Helge Rhodin, Gerard Pons-Moll, Christian Theobalt
http://arxiv.org/abs/1907.00837v1
• [cs.CY]Following wrong suggestions: self-blame in human and computer scenarios
Andrea Beretta, Massimo Zancanaro, Bruno Lepri
http://arxiv.org/abs/1907.00850v1
• [cs.CY]Hidden in Plain Sight For Too Long: Using Text Mining Techniques to Shine a Light on Workplace Sexism and Sexual Harassment
Amir Karami, Suzanne C. Swan, Cynthia Nicole White, Kayla Ford
http://arxiv.org/abs/1907.00510v1
• [cs.CY]Ich weiß, was du nächsten Sommer getan haben wirst: Predictive Policing in Österreich
Angelika Adensamer, Lukas Daniel Klausner
http://arxiv.org/abs/1907.00934v1
• [cs.CY]Learning to Identify Patients at Risk of Uncontrolled Hypertension Using Electronic Health Records Data
Ramin Mohammadi, Sarthak Jain, Stephen Agboola, Ramya Palacholla, Sagar Kamarthi, Byron C. Wallace
http://arxiv.org/abs/1907.00089v1
• [cs.CY]Proof of Witness Presence: Blockchain Consensus for Augmented Democracy in Smart Cities
Evangelos Pournaras
http://arxiv.org/abs/1907.00498v1
• [cs.CY]What, When and Where of petitions submitted to the UK Government during a time of chaos
Bertie Vidgen, Taha Yasseri
http://arxiv.org/abs/1907.01536v1
• [cs.CY]YouTube Chatter: Understanding Online Comments Discourse on Misinformative and Political YouTube Videos
Aarash Heydari, Janny Zhang, Shaan Appel, Xinyi Wu, Gireeja Ranade
http://arxiv.org/abs/1907.00435v1
• [cs.DC]Asynchronous Communications Library for the Parallel-in-Time Solution of Black-Scholes Equation
Qinmeng Zou, Guillaume Gbikpi-Benissan, Frederic Magoules
http://arxiv.org/abs/1907.01199v1
• [cs.DC]Asynchronous Parareal Algorithm Applied to European Option Pricing
Qinmeng Zou, Guillaume Gbikpi-Benissan, Frederic Magoules
http://arxiv.org/abs/1907.01198v1
• [cs.DC]Bridging the Architecture Gap: Abstracting Performance-Relevant Properties of Modern Server Processors
Johannes Hofmann, Christie L. Alappat, Georg Hager, Dietmar Fey, Gerhard Wellein
http://arxiv.org/abs/1907.00048v1
• [cs.DC]Convergence Detection of Asynchronous Iterations based on Modified Recursive Doubling
Qinmeng Zou, Frederic Magoules
http://arxiv.org/abs/1907.01201v1
• [cs.DC]Creek: a General Mixed-Consistency Transactional Replication Scheme
Tadeusz Kobus, Maciej Kokociński, Paweł T. Wojciechowski
http://arxiv.org/abs/1907.00748v1
• [cs.DC]Distributed-Memory Load Balancing with Cyclic Token-based Work-Stealing Applied to Reverse Time Migration
Ítalo A. S. Assis, Antônio D. S. Oliveira, Tiago Barros, Idalmis M. Sardina, Calebe P. Bianchini, Samuel Xavier-de-Souza
http://arxiv.org/abs/1907.00879v1
• [cs.DC]Fully-Asynchronous Fully-Implicit Variable-Order Variable-Timestep Simulation of Neural Networks
Bruno Magalhães, Michael Hines, Thomas Sterling, Felix Schuermann
http://arxiv.org/abs/1907.00670v1
• [cs.DC]Network-accelerated Distributed Machine Learning Using MLFabric
Raajay Viswanathan, Aditya Akella
http://arxiv.org/abs/1907.00434v1
• [cs.DC]Open-MPI over MOSIX: paralleled computing in a clustered world
Adam Lev-Libfeld, Alex Margolin, Amnon Barak
http://arxiv.org/abs/1907.00194v1
• [cs.DC]Parallel Performance of Molecular Dynamics Trajectory Analysis
Mahzad Khoshlessan, Ioannis Paraskevakos, Geoffrey C. Fox, Shantenu Jha, Oliver Beckstein
http://arxiv.org/abs/1907.00097v1
• [cs.DC]Planting Trees for scalable and efficient Canonical Hub Labeling
Kartik Lakhotia, Qing Dong, Rajgopal Kannan, Viktor Prasanna
http://arxiv.org/abs/1907.00140v1
• [cs.DC]State-of-the-Art on Query & Transaction Processing Acceleration
Bernd Amann, Youry Khmelevsky, Gaetan Hains
http://arxiv.org/abs/1907.00050v1
• [cs.DC]Themis: Fair and Efficient GPU Cluster Scheduling for Machine Learning Workloads
Kshiteej Mahajan, Arjun Singhvi, Arjun Balasubramanian, Varun Batra, Surya Teja Chavali, Shivaram Venkataraman, Aditya Akella, Amar Phanishayee, Shuchi Chawla
http://arxiv.org/abs/1907.01484v1
• [cs.DC]Understanding Fault Scenarios and Impacts through Fault Injection Experiments in Cielo
Valerio Formicola, Saurabh Jha, Daniel Chen, Fei Deng, Amanda Bonnie, Mike Mason, Jim Brandt, Ann Gentile, Larry Kaplan, Jason Repik, Jeremy Enos, Mike Showerman, Annette Greiner, Zbigniew Kalbarczyk, Ravishankar K. Iyer, Bill Krammer
http://arxiv.org/abs/1907.01019v1
• [cs.DL]Infrastructure-Agnostic Hypertext
Jakob Voß
http://arxiv.org/abs/1907.00259v1
• [cs.ET]Composable Rate-Independent Computation in Continuous Chemical Reaction Networks
Cameron Chalk, Niels Kornerup, Wyatt Reeves, David Soloveichik
http://arxiv.org/abs/1907.00053v1
• [cs.HC]FVA: Modeling Perceived Friendliness of Virtual Agents Using Movement Characteristics
Tanmay Randhavane, Aniket Bera, Kyra Kapsaskis, Kurt Gray, Dinesh Manocha
http://arxiv.org/abs/1907.00377v1
• [cs.HC]Simultaneous Achievement of Driver Assistance and Skill Development in Shared and Cooperative Controls
Takahiro Wada
http://arxiv.org/abs/1907.00802v1
• [cs.IR]A Capsule Network for Recommendation and Explaining What You Like and Dislike
Chenliang Li, Cong Quan, Li Peng, Yunwei Qi, Yuming Deng, Libing Wu
http://arxiv.org/abs/1907.00687v1
• [cs.IR]A Framework for Evaluating Snippet Generation for Dataset Search
Xiaxia Wang, Jinchi Chen, Shuxin Li, Gong Cheng, Jeff Z. Pan, Evgeny Kharlamov, Yuzhong Qu
http://arxiv.org/abs/1907.01183v1
• [cs.IR]A Review-Driven Neural Model for Sequential Recommendation
Chenliang Li, Xichuan Niu, Xiangyang Luo, Zhenzhong Chen, Cong Quan
http://arxiv.org/abs/1907.00590v1
• [cs.IR]Dermtrainer: A Decision Support System for Dermatological Diseases
Gernot Salzer, Agata Ciabattoni, Christian Fermüller, Martin Haiduk, Harald Kittler, Arno Lukas, Rosa María Rodríguez Domínguez, Antonia Wesinger, Elisabeth Riedl
http://arxiv.org/abs/1907.00635v1
• [cs.IR]Effects of Foraging in Personalized Content-based Image Recommendation
Amit Kumar Jaiswal, Haiming Liu, Ingo Frommholz
http://arxiv.org/abs/1907.00483v1
• [cs.IR]Extracting Novel Facts from Tables for Knowledge Graph Completion (Extended version)
Benno Kruit, Peter Boncz, Jacopo Urbani
http://arxiv.org/abs/1907.00083v1
• [cs.IR]Learning to Reformulate the Queries on the WEB
Amir H. Jadidinejad
http://arxiv.org/abs/1907.01300v1
• [cs.IR]Music Performance Analysis: A Survey
Alexander Lerch, Claire Arthur, Ashis Pati, Siddharth Gururani
http://arxiv.org/abs/1907.00178v1
• [cs.IR]On Slicing Sorted Integer Sequences
Giulio Ermanno Pibiri
http://arxiv.org/abs/1907.01032v1
• [cs.IR]One Size Does Not Fit All: Modeling Users’ Personal Curiosity in Recommender Systems
Fakhri Abbas, Xi Niu
http://arxiv.org/abs/1907.00119v1
• [cs.IR]Prediction is very hard, especially about conversion. Predicting user purchases from clickstream data in fashion e-commerce
Luca Bigon, Giovanni Cassani, Ciro Greco, Lucas Lacasa, Mattia Pavoni, Andrea Polonioli, Jacopo Tagliabue
http://arxiv.org/abs/1907.00400v1
• [cs.IR]Representation, Exploration and Recommendation of Music Playlists
Piyush Papreja, Hemanth Venkateswara, Sethuraman Panchanathan
http://arxiv.org/abs/1907.01098v1
• [cs.IR]Semantic Driven Fielded Entity Retrieval
Shahrzad Naseri, Sheikh Muhammad Sarwar, James Allan
http://arxiv.org/abs/1907.01457v1
• [cs.IR]Semantic Product Search
Priyanka Nigam, Yiwei Song, Vijai Mohan, Vihan Lakshman, Weitian, Ding, Ankit Shingavi, Choon Hui Teo, Hao Gu, Bing Yin
http://arxiv.org/abs/1907.00937v1
• [cs.IT]“Machine LLRning”: Learning to Softly Demodulate
Ori Shental, Jakob Hoydis
http://arxiv.org/abs/1907.01512v1
• [cs.IT]5G NR CA-Polar Maximum Likelihood Decoding by GRAND
Ken Duffy, Amit Solomon, Kishori M. Konwar, Muriel Medard
http://arxiv.org/abs/1907.01077v1
• [cs.IT]A Direct Construction of Optimal ZCCS and IGC Code Set With Maximum Column Sequence PMEPR Two For MC-CDMA System
Palash Sarkar, Sudhan Majhi
http://arxiv.org/abs/1907.01308v1
• [cs.IT]A Local Perspective on the Edge Removal Problem
Fei Wei, Michael Langberg, Michelle Effros
http://arxiv.org/abs/1907.01133v1
• [cs.IT]Bundled Causal History Interaction
Peishi Jiang, Praveen Kumar
http://arxiv.org/abs/1907.01159v1
• [cs.IT]From Parameter Estimation to Dispersion of Nonstationary Gauss-Markov Processes
Peida Tian, Victoria Kostina
http://arxiv.org/abs/1907.00304v1
• [cs.IT]Mathematical Model of Emotional Habituation to Novelty: Modeling with Bayesian Update and Information Theory
Takahiro Sekoguchi, Yuki Sakai, Hideyoshi Yanagisawa
http://arxiv.org/abs/1907.01355v1
• [cs.IT]Mismatched Guesswork
Salman Salamatian, Litian Liu, Ahmad Beirami, Muriel Médard
http://arxiv.org/abs/1907.00531v1
• [cs.IT]On an Equivalence Between Single-Server PIR with Side Information and Locally Recoverable Codes
Swanand Kadhe, Anoosheh Heidarzadeh, Alex Sprintson, O. Ozan Koyluoglu
http://arxiv.org/abs/1907.00598v1
• [cs.IT]On list decoding of 5G-NR polar codes
Charles Pillet, Valerio Bioglio, Carlo Condo
http://arxiv.org/abs/1907.00784v1
• [cs.IT]On the Sample Complexity of HGR Maximal Correlation Functions
Shao-Lun Huang, Xiangxiang Xu
http://arxiv.org/abs/1907.00393v1
• [cs.IT]On the list decodability of Rank Metric codes
Rocco Trombetti, Ferdinando Zullo
http://arxiv.org/abs/1907.01289v1
• [cs.IT]Polar Codes with Memory
Wenyue Zhou, Qiang Liu, Yifei Shen, Xiaofeng Zhou, Chuan Zhang, Yaohua Xu, Liping Li
http://arxiv.org/abs/1907.00527v1
• [cs.IT]Predictive Network Control in Multi-Connectivity Mobility for URLLC Services
David Guzman, Richard Schoeffauer, Gerhard Wunder
http://arxiv.org/abs/1907.01349v1
• [cs.IT]Private Authentication with Physical Identifiers Through Broadcast Channel Measurements
Onur Günlü, Rafael F. Schaefer, Gerhard Kramer
http://arxiv.org/abs/1907.01081v1
• [cs.IT]Quantization in Compressive Sensing: A Signal Processing Approach
Isidora Stankovic, Milos Brajovic, Milos Dakovic, Cornel Ioana, Ljubisa Stankovic
http://arxiv.org/abs/1907.01078v1
• [cs.IT]Spatial Coded Modulation
Junshan Luo, Shilian Wang, Fanggang Wang
http://arxiv.org/abs/1907.00365v1
• [cs.IT]Study of Rate-Splitting Techniques with Block Diagonalization for Multiuser MIMO Systems
A. Flores, R. C. de Lamare
http://arxiv.org/abs/1907.00386v1
• [cs.IT]Trading Off Computation with Transmission in Status Update Systems
Peng Zou, Omur Ozel, Suresh Subramaniam
http://arxiv.org/abs/1907.00928v1
• [cs.LG]A Framework For Identifying Group Behavior Of Wild Animals
Guido Muscioni, Riccardo Pressiani, Matteo Foglio, Margaret C. Crofoot, Marco D. Santambrogio, Tanya Berger-Wolf
http://arxiv.org/abs/1907.00932v1
• [cs.LG]A Semi-Supervised Self-Organizing Map for Clustering and Classification
Pedro H. M. Braga, Hansenclever F. Bassani
http://arxiv.org/abs/1907.01070v1
• [cs.LG]A Semi-Supervised Self-Organizing Map with Adaptive Local Thresholds
Pedro H. M. Braga, Hansenclever F. Bassani
http://arxiv.org/abs/1907.01086v1
• [cs.LG]Active Learning within Constrained Environments through Imitation of an Expert Questioner
Kalesha Bullard, Yannick Schroecker, Sonia Chernova
http://arxiv.org/abs/1907.00921v1
• [cs.LG]An Iteratively Re-weighted Method for Problems with Sparsity-Inducing Norms
Feiping Nie, Zhanxuan Hu, Xiaoqian Wang, Rong Wang, Xuelong Li, Heng Huang
http://arxiv.org/abs/1907.01121v1
• [cs.LG]An Open Source AutoML Benchmark
Pieter Gijsbers, Erin LeDell, Janek Thomas, Sébastien Poirier, Bernd Bischl, Joaquin Vanschoren
http://arxiv.org/abs/1907.00909v1
• [cs.LG]An aggregate learning approach for interpretable semi-supervised population prediction and disaggregation using ancillary data
Guillaume Derval, Frédéric Docquier, Pierre Schaus
http://arxiv.org/abs/1907.00270v1
• [cs.LG]An innovative adaptive kriging approach for efficient binary classification of mechanical problems
Jan N. Fuhg, Amelie Fau
http://arxiv.org/abs/1907.01490v1
• [cs.LG]Applying Transfer Learning To Deep Learned Models For EEG Analysis
Axel Uran, Coert van Gemeren, Rosanne van Diepen, Ricardo Chavarriaga, José del R. Millán
http://arxiv.org/abs/1907.01332v1
• [cs.LG]Approximate Sherali-Adams Relaxations for MAP Inference via Entropy Regularization
Jonathan N. Lee, Aldo Pacchiano, Michael I. Jordan
http://arxiv.org/abs/1907.01127v1
• [cs.LG]Astraea: Self-balancing Federated Learning for Improving Classification Accuracy of Mobile Deep Learning Applications
Moming Duan
http://arxiv.org/abs/1907.01132v1
• [cs.LG]Augmenting Self-attention with Persistent Memory
Sainbayar Sukhbaatar, Edouard Grave, Guillaume Lample, Herve Jegou, Armand Joulin
http://arxiv.org/abs/1907.01470v1
• [cs.LG]Avoiding Implementation Pitfalls of “Matrix Capsules with EM Routing” by Hinton et al
Ashley Daniel Gritzman
http://arxiv.org/abs/1907.00652v1
• [cs.LG]Bandit Learning Through Biased Maximum Likelihood Estimation
Xi Liu, Ping-Chun Hsieh, Anirban Bhattacharya, P. R. Kumar
http://arxiv.org/abs/1907.01287v1
• [cs.LG]Best k-layer neural network approximations
Lek-Heng Lim, Mateusz Michalek, Yang Qi
http://arxiv.org/abs/1907.01507v1
• [cs.LG]Causal Inference Under Interference And Network Uncertainty
Rohit Bhattacharya, Daniel Malinsky, Ilya Shpitser
http://arxiv.org/abs/1907.00221v1
• [cs.LG]Comment on “Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network”
Roland S. Zimmermann
http://arxiv.org/abs/1907.00895v1
• [cs.LG]Conservative Q-Improvement: Reinforcement Learning for an Interpretable Decision-Tree Policy
Aaron M. Roth, Nicholay Topin, Pooyan Jamshidi, Manuela Veloso
http://arxiv.org/abs/1907.01180v1
• [cs.LG]Continual Learning for Robotics
Timothée Lesort, Vincenzo Lomonaco, Andrei Stoian, Davide Maltoni, David Filliat, Natalia Díaz-Rodríguez
http://arxiv.org/abs/1907.00182v1
• [cs.LG]Cosine similarity-based adversarial process
Hee-Soo Heo, Jee-weon Jung, Hye-jin Shim, IL-Ho Yang, Ha-Jin Yu
http://arxiv.org/abs/1907.00542v1
• [cs.LG]Deep Multi-Task Learning for Anomalous Driving Detection Using CAN Bus Scalar Sensor Data
Vidyasagar Sadhu, Teruhisa Misu, Dario Pompili
http://arxiv.org/abs/1907.00749v1
• [cs.LG]Deep Residual Neural Networks for Audio Spoofing Detection
Moustafa Alzantot, Ziqi Wang, Mani B. Srivastava
http://arxiv.org/abs/1907.00501v1
• [cs.LG]Detecting Spiky Corruption in Markov Decision Processes
Jason Mancuso, Tomasz Kisielewski, David Lindner, Alok Singh
http://arxiv.org/abs/1907.00452v1
• [cs.LG]Dissecting Pruned Neural Networks
Jonathan Frankle, David Bau
http://arxiv.org/abs/1907.00262v1
• [cs.LG]Domain Adaptation via Low-Rank Basis Approximation
Christoph Raab, Frank-Michael Schleif
http://arxiv.org/abs/1907.01343v1
• [cs.LG]Efficient Regularized Piecewise-Linear Regression Trees
Leonidas Lefakis, Oleksandr Zadorozhnyi, Gilles Blanchard
http://arxiv.org/abs/1907.00275v1
• [cs.LG]Equation Discovery for Nonlinear System Identification
Nikola Simidjievski, Ljupčo Todorovski, Juš Kocijan, Sašo Džeroski
http://arxiv.org/abs/1907.00821v1
• [cs.LG]Estimating Information-Theoretic Quantities with Random Forests
Richard Guo, Cencheng Shen, Joshua Vogelstein
http://arxiv.org/abs/1907.00325v1
• [cs.LG]Exploiting Relevance for Online Decision-Making in High-Dimensions
Eralp Turgay, Cem Bulucu, Cem Tekin
http://arxiv.org/abs/1907.00783v1
• [cs.LG]Exponential Separations in Local Differential Privacy Through Communication Complexity
Matthew Joseph, Jieming Mao, Aaron Roth
http://arxiv.org/abs/1907.00813v1
• [cs.LG]FRODO: Free rejection of out-of-distribution samples: application to chest x-ray analysis
Erdi Çallı, Keelin Murphy, Ecem Sogancioglu, Bram van Ginneken
http://arxiv.org/abs/1907.01253v1
• [cs.LG]FiDi-RL: Incorporating Deep Reinforcement Learning with Finite-Difference Policy Search for Efficient Learning of Continuous Control
Longxiang Shi, Shijian Li, Longbing Cao, Long Yang, Gang Zheng, Gang Pan
http://arxiv.org/abs/1907.00526v1
• [cs.LG]Gaussian Mixture Marginal Distributions for Modelling Remaining Pipe Wall Thickness of Critical Water Mains in Non-Destructive Evaluation
Linh Nguyen, Jaime Valls Miro, Lei Shi, Teresa Vidal-Calleja
http://arxiv.org/abs/1907.01184v1
• [cs.LG]Generalizing from a few environments in safety-critical reinforcement learning
Zachary Kenton, Angelos Filos, Owain Evans, Yarin Gal
http://arxiv.org/abs/1907.01475v1
• [cs.LG]Improving LSTM Neural Networks for Better Short-Term Wind Power Predictions
Maximilian Du
http://arxiv.org/abs/1907.00489v1
• [cs.LG]Isolation Kernel: The X Factor in Efficient and Effective Large Scale Online Kernel Learning
Kai Ming Ting, Jonathan R. Wells, Takashi Washio
http://arxiv.org/abs/1907.01104v1
• [cs.LG]Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization
Paul Pu Liang, Zhun Liu, Yao-Hung Hubert Tsai, Qibin Zhao, Ruslan Salakhutdinov, Louis-Philippe Morency
http://arxiv.org/abs/1907.01011v1
• [cs.LG]Learning World Graphs to Accelerate Hierarchical Reinforcement Learning
Wenling Shang, Alex Trott, Stephan Zheng, Caiming Xiong, Richard Socher
http://arxiv.org/abs/1907.00664v1
• [cs.LG]Learning the Arrow of Time
Nasim Rahaman, Steffen Wolf, Anirudh Goyal, Roman Remme, Yoshua Bengio
http://arxiv.org/abs/1907.01285v1
• [cs.LG]Learning to Traverse Latent Spaces for Musical Score Inpainting
Ashis Pati, Alexander Lerch, Gaëtan Hadjeres
http://arxiv.org/abs/1907.01164v1
• [cs.LG]Location Anomalies Detection for Connected and Autonomous Vehicles
Xiaoyang Wang, Ioannis Mavromatis, Andrea Tassi, Raul Santos-Rodriguez, Robert J. Piechocki
http://arxiv.org/abs/1907.00811v1
• [cs.LG]ML-based Fault Injection for Autonomous Vehicles: A Case for Bayesian Fault Injection
Saurabh Jha, Subho S. Banerjee, Timothy Tsai, Siva K. S. Hari, Michael B. Sullivan, Zbigniew T. Kalbarczyk, Stephen W. Keckler, Ravishankar K. Iyer
http://arxiv.org/abs/1907.01051v1
• [cs.LG]MULEX: Disentangling Exploitation from Exploration in Deep RL
Lucas Beyer, Damien Vincent, Olivier Teboul, Sylvain Gelly, Matthieu Geist, Olivier Pietquin
http://arxiv.org/abs/1907.00868v1
• [cs.LG]Mechanisms of Artistic Creativity in Deep Learning Neural Networks
Lonce Wyse
http://arxiv.org/abs/1907.00321v1
• [cs.LG]Mincut pooling in Graph Neural Networks
Filippo Maria Bianchi, Daniele Grattarola, Cesare Alippi
http://arxiv.org/abs/1907.00481v1
• [cs.LG]Mixed-Variable Bayesian Optimization
Erik Daxberger, Anastasia Makarova, Matteo Turchetta, Andreas Krause
http://arxiv.org/abs/1907.01329v1
• [cs.LG]Modeling Tabular data using Conditional GAN
Lei Xu, Maria Skoularidou, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
http://arxiv.org/abs/1907.00503v1
• [cs.LG]Modified Actor-Critics
Erinc Merdivan, Sten Hanke, Matthieu Geist
http://arxiv.org/abs/1907.01298v1
• [cs.LG]Multi-Label Product Categorization Using Multi-Modal Fusion Models
Pasawee Wirojwatanakul, Artit Wangperawong
http://arxiv.org/abs/1907.00420v1
• [cs.LG]Multiplicative Models for Recurrent Language Modeling
Diego Maupomé, Marie-Jean Meurs
http://arxiv.org/abs/1907.00455v1
• [cs.LG]Nearest-Neighbour-Induced Isolation Similarity and its Impact on Density-Based Clustering
Xiaoyu Qin, Kai Ming Ting, Ye Zhu, Vincent CS Lee
http://arxiv.org/abs/1907.00378v1
• [cs.LG]Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks
Qi She, Anqi Wu
http://arxiv.org/abs/1907.00650v1
• [cs.LG]Neural Logic Rule Layers
Jan Niclas Reimann, Andreas Schwung
http://arxiv.org/abs/1907.00878v1
• [cs.LG]On Symmetry and Initialization for Neural Networks
Ido Nachum, Amir Yehudayoff
http://arxiv.org/abs/1907.00560v1
• [cs.LG]On mechanisms for transfer using landmark value functions in multi-task lifelong reinforcement learning
Nick Denis
http://arxiv.org/abs/1907.00884v1
• [cs.LG]Open Problem: The Oracle Complexity of Convex Optimization with Limited Memory
Blake Woodworth, Nathan Srebro
http://arxiv.org/abs/1907.00762v1
• [cs.LG]Operationalizing Individual Fairness with Pairwise Fair Representations
Preethi Lahoti, Krishna P. Gummadi, Gerhard Weikum
http://arxiv.org/abs/1907.01439v1
• [cs.LG]Predicting Treatment Initiation from Clinical Time Series Data via Graph-Augmented Time-Sensitive Model
Fan Zhang, Tong Wu, Yunlong Wang, Yong Cai, Cao Xiao, Emily Zhao, Lucas Glass, Jimeng Sun
http://arxiv.org/abs/1907.01099v1
• [cs.LG]Progressive Fashion Attribute Extraction
Sandeep Singh Adhikari, Sukhneer Singh, Anoop Rajagopal, Aruna Rajan
http://arxiv.org/abs/1907.00157v1
• [cs.LG]Rare Disease Detection by Sequence Modeling with Generative Adversarial Networks
Kezi Yu, Yunlong Wang, Yong Cai, Cao Xiao, Emily Zhao, Lucas Glass, Jimeng Sun
http://arxiv.org/abs/1907.01022v1
• [cs.LG]Reproducibility in Machine Learning for Health
Matthew B. A. McDermott, Shirly Wang, Nikki Marinsek, Rajesh Ranganath, Marzyeh Ghassemi, Luca Foschini
http://arxiv.org/abs/1907.01463v1
• [cs.LG]Robust Tensor Completion Using Transformed Tensor SVD
Guangjing Song, Michael K. Ng, Xiongjun Zhang
http://arxiv.org/abs/1907.01113v1
• [cs.LG]Robust and Resource Efficient Identification of Two Hidden Layer Neural Networks
Massimo Fornasier, Timo Klock, Michael Rauchensteiner
http://arxiv.org/abs/1907.00485v1
• [cs.LG]Sample Adaptive Multiple Kernel Learning for Failure Prediction of Railway Points
Zhibin Li, Jian Zhang, Qiang Wu, Yongshun Gong, Jinfeng Yi, Christina Kirsch
http://arxiv.org/abs/1907.01162v1
• [cs.LG]Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization
Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu
http://arxiv.org/abs/1907.00959v1
• [cs.LG]Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
Alex X. Lee, Anusha Nagabandi, Pieter Abbeel, Sergey Levine
http://arxiv.org/abs/1907.00953v1
• [cs.LG]The Ramanujan Machine: Automatically Generated Conjectures on Fundamental Constants
Gal Raayoni, George Pisha, Yahel Manor, Uri Mendlovic, Doron Haviv, Yaron Hadad, Ido Kaminer
http://arxiv.org/abs/1907.00205v1
• [cs.LG]The Sensitivity of Counterfactual Fairness to Unmeasured Confounding
Niki Kilbertus, Philip J. Ball, Matt J. Kusner, Adrian Weller, Ricardo Silva
http://arxiv.org/abs/1907.01040v1
• [cs.LG]The SpectACl of Nonconvex Clustering: A Spectral Approach to Density-Based Clustering
Sibylle Hess, Wouter Duivesteijn, Philipp Honysz, Katharina Morik
http://arxiv.org/abs/1907.00680v1
• [cs.LG]The Trustworthy Pal: Controlling the False Discovery Rate in Boolean Matrix Factorization
Sibylle Hess, Nico Piatkowski, Katharina Morik
http://arxiv.org/abs/1907.00697v1
• [cs.LG]Tight Sensitivity Bounds For Smaller Coresets
Alaa Maalouf, Adiel Statman, Dan Feldman
http://arxiv.org/abs/1907.01433v1
• [cs.LG]Treant: Training Evasion-Aware Decision Trees
Stefano Calzavara, Claudio Lucchese, Gabriele Tolomei, Seyum Assefa Abebe, Salvatore Orlando
http://arxiv.org/abs/1907.01197v1
• [cs.LG]Two-stage Optimization for Machine Learning Workflow
Alexandre Quemy
http://arxiv.org/abs/1907.00678v1
• [cs.LG]Understanding Memory Modules on Learning Simple Algorithms
Kexin Wang, Yu Zhou, Shaonan Wang, Jiajun Zhang, Chengqing Zong
http://arxiv.org/abs/1907.00820v1
• [cs.LG]Universal audio synthesizer control with normalizing flows
Philippe Esling, Naotake Masuda, Adrien Bardet, Romeo Despres, Axel Chemla—Romeu-Santos
http://arxiv.org/abs/1907.00971v1
• [cs.LG]Using Deep Learning to Predict Plant Growth and Yield in Greenhouse Environments
Bashar Alhnaity, Simon Pearson, Georgios Leontidis, Stefanos Kollias
http://arxiv.org/abs/1907.00624v1
• [cs.LG]Variational Quantum Circuits and Deep Reinforcement Learning
Samuel Yen-Chi Chen, Hsi-Sheng Goan
http://arxiv.org/abs/1907.00397v1
• [cs.LG]Voting-Based Multi-Agent Reinforcement Learning
Yue Xu, Zengde Deng, Mengdi Wang, Wenjun Xu, Anthony Man-Cho So, Shuguang Cui
http://arxiv.org/abs/1907.01385v1
• [cs.LG]Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog
Natasha Jaques, Asma Ghandeharioun, Judy Hanwen Shen, Craig Ferguson, Agata Lapedriza, Noah Jones, Shixiang Gu, Rosalind Picard
http://arxiv.org/abs/1907.00456v1
• [cs.LG]Weight Normalization based Quantization for Deep Neural Network Compression
Wen-Pu Cai, Wu-Jun Li
http://arxiv.org/abs/1907.00593v1
• [cs.LG]iPool — Information-based Pooling in Hierarchical Graph Neural Networks
Xing Gao, Hongkai Xiong, Pascal Frossard
http://arxiv.org/abs/1907.00832v1
• [cs.MA]Collaboration of AI Agents via Cooperative Multi-Agent Deep Reinforcement Learning
Niranjan Balachandar, Justin Dieter, Govardana Sachithanandam Ramachandran
http://arxiv.org/abs/1907.00327v1
• [cs.MM]Adaptive Music Composition for Games
Patrick Hutchings, Jon McCormack
http://arxiv.org/abs/1907.01154v1
• [cs.MS]GPU-based Parallel Computation Support for Stan
Rok Češnovar, Steve Bronder, Davor Sluga, Jure Demšar, Tadej Ciglarič, Sean Talts, Erik Štrumbelj
http://arxiv.org/abs/1907.01063v1
• [cs.MS]Solving Polynomial Systems with phcpy
Jasmine Otto, Angus Forbes, Jan Verschelde
http://arxiv.org/abs/1907.00096v1
• [cs.NE]A Hybrid Learning Rule for Efficient and Rapid Inference with Spiking Neural Networks
Jibin Wu, Yansong Chua, Malu Zhang, Guoqi Li, Haizhou Li, Kay Chen Tan
http://arxiv.org/abs/1907.01167v1
• [cs.NE]A Note On The Popularity of Stochastic Optimization Algorithms in Different Fields: A Quantitative Analysis from 2007 to 2017
Son Duy Dao
http://arxiv.org/abs/1907.01453v1
• [cs.NE]ACM-DE: Adaptive p-best Cauchy Mutation with linear failure threshold reduction for Differential Evolution in numerical optimization
Tae Jong Choi, Julian Togelius, Yun-Gyung Cheong
http://arxiv.org/abs/1907.01095v1
• [cs.NE]Multi-objective multi-generation Gaussian process optimizer for design optimization
Xiaobiao Huang
http://arxiv.org/abs/1907.00250v1
• [cs.NE]On-chip learning in a conventional silicon MOSFET based Analog Hardware Neural Network
Nilabjo Dey, Janak Sharda, Utkarsh Saxena, Divya Kaushik, Utkarsh Singh, Debanjan Bhowmik
http://arxiv.org/abs/1907.00625v1
• [cs.NI]Service-based Routing at the Edge
Dirk Trossen, Sebastian Robitzsch, Scott Hergenhan, Janne Riihijarvi, Martin Reed, Mays Al-Naday
http://arxiv.org/abs/1907.01293v1
• [cs.RO]A Joint Optimization Approach of LiDAR-Camera Fusion for Accurate Dense 3D Reconstructions
Weikun Zhen, Yaoyu Hu, Jingfeng Liu, Sebastian Scherer
http://arxiv.org/abs/1907.00930v1
• [cs.RO]Active Learning of Probabilistic Movement Primitives
Adam Conkey, Tucker Hermans
http://arxiv.org/abs/1907.00277v1
• [cs.RO]Asynchronous Behavior Trees with Memory aimed at Aerial Vehicles with Redundancy in Flight Controller
Evgenii Safronov, Michael Vilzmann, Dzmitry Tsetserukou, Konstantin Kondak
http://arxiv.org/abs/1907.00253v1
• [cs.RO]GarmNet: Improving Global with Local Perception for Robotic Laundry Folding
Daniel Fernandes Gomes, Shan Luo, Luis F. Teixeira
http://arxiv.org/abs/1907.00408v1
• [cs.RO]Memory of Motion for Warm-starting Trajectory Optimization
Teguh Santoso Lembono, Antonio Paolillo, Emmanuel Pignat, Sylvain Calinon
http://arxiv.org/abs/1907.01474v1
• [cs.RO]Model-free Friction Observers for Flexible Joint Robots with Torque Measurements
Min Jun Kim, Fabian Beck, Christian Ott, Alin Albu-Schaeffer
http://arxiv.org/abs/1907.00553v1
• [cs.RO]Neural Semantic Parsing with Anonymization for Command Understanding in General-Purpose Service Robots
Nick Walker, Yu-Tang Peng, Maya Cakmak
http://arxiv.org/abs/1907.01115v1
• [cs.RO]On Training Flexible Robots using Deep Reinforcement Learning
Zach Dwiel, Madhavun Candadai, Mariano Phielipp
http://arxiv.org/abs/1907.00269v1
• [cs.RO]Persistent Multi-UAV Surveillance with Data Latency Constraints
Jürgen Scherer, Bernhard Rinner
http://arxiv.org/abs/1907.01205v1
• [cs.RO]ROS 2 for RoboCup
Marcus M. Scheunemann, Sander G. van Dijk
http://arxiv.org/abs/1907.00282v1
• [cs.RO]Robust and Efficient Quadrotor Trajectory Generation for Fast Autonomous Flight
Boyu Zhou, Fei Gao, Luqi Wang, Chuhao Liu, Shaojie Shen
http://arxiv.org/abs/1907.01531v1
• [cs.RO]Teach-Repeat-Replan: A Complete and Robust System for Aggressive Flight in Complex Environments
Fei Gao, Luqi Wang, Boyu Zhou, Luxin Han, Jie Pan, Shaojie Shen
http://arxiv.org/abs/1907.00520v1
• [cs.RO]Toward Asymptotically-Optimal Inspection Planning via Efficient Near-Optimal Graph Search
Mengyu Fu, Alan Kuntz, Oren Salzman, Ron Alterovitz
http://arxiv.org/abs/1907.00506v1
• [cs.SD]Can a Robot Hear the Shape and Dimensions of a Room?
Linh Nguyen, Jaime Valls Miro, Xiaojun Qiu
http://arxiv.org/abs/1907.01169v1
• [cs.SD]Kite: Automatic speech recognition for unmanned aerial vehicles
Dan Oneata, Horia Cucu
http://arxiv.org/abs/1907.01195v1
• [cs.SD]WHAM!: Extending Speech Separation to Noisy Environments
Gordon Wichern, Joe Antognini, Michael Flynn, Licheng Richard Zhu, Emmett McQuinn, Dwight Crow, Ethan Manilow, Jonathan Le Roux
http://arxiv.org/abs/1907.01160v1
• [cs.SE]A Scalable Architecture for Power Consumption Monitoring in Industrial Production Environments
Sören Henning, Wilhelm Hasselbring, Armin Möbius
http://arxiv.org/abs/1907.01046v1
• [cs.SI]A Semantic Approach for User-Brand Targeting in On-Line Social Networks
Mariella Bonomo, Gaspare Ciaccio, Andrea De Salve, Simona E. Rombo
http://arxiv.org/abs/1907.01326v1
• [cs.SI]Generalized Random Surfer-Pair Models
Sai Kiran Narayanaswami, Balaraman Ravindran, Venkatesh Ramaiyan
http://arxiv.org/abs/1907.01420v1
• [cs.SI]Predicting the Topical Stance of Media and Popular Twitter Users
Peter Stefanov, Kareem Darwish, Preslav Nakov
http://arxiv.org/abs/1907.01260v1
• [cs.SI]Unsupervised Adversarial Graph Alignment with Graph Embedding
Chaoqi Chen, Weiping Xie, Tingyang Xu, Yu Rong, Wenbing Huang, Xinghao Ding, Yue Huang, Junzhou Huang
http://arxiv.org/abs/1907.00544v1
• [econ.EM]Permutation inference with a finite number of heterogeneous clusters
Andreas Hagemann
http://arxiv.org/abs/1907.01049v1
• [eess.AS]Comparison of Lattice-Free and Lattice-Based Sequence Discriminative Training Criteria for LVCSR
Wilfried Michel, Ralf Schlüter, Hermann Ney
http://arxiv.org/abs/1907.01409v1
• [eess.AS]Improving Performance of End-to-End ASR on Numeric Sequences
Cal Peyser, Hao Zhang, Tara N. Sainath, Zelin Wu
http://arxiv.org/abs/1907.01372v1
• [eess.AS]LSTM Language Models for LVCSR in First-Pass Decoding and Lattice-Rescoring
Eugen Beck, Wei Zhou, Ralf Schlüter, Hermann Ney
http://arxiv.org/abs/1907.01030v1
• [eess.AS]Speaker-independent classification of phonetic segments from raw ultrasound in child speech
Manuel Sam Ribeiro, Aciel Eshky, Korin Richmond, Steve Renals
http://arxiv.org/abs/1907.01413v1
• [eess.AS]Ultrasound tongue imaging for diarization and alignment of child speech therapy sessions
Manuel Sam Ribeiro, Aciel Eshky, Korin Richmond, Steve Renals
http://arxiv.org/abs/1907.00818v1
• [eess.IV]An Efficient Solution for Breast Tumor Segmentation and Classification in Ultrasound Images Using Deep Adversarial Learning
Vivek Kumar Singh, Hatem A. Rashwan, Mohamed Abdel-Nasser, Md. Mostafa Kamal Sarker, Farhan Akram, Nidhi Pandey, Santiago Romani, Domenec Puig
http://arxiv.org/abs/1907.00887v1
• [eess.IV]Automated Image Registration Quality Assessment Utilizing Deep-learning based Ventricle Extraction in Clinical Data
Florian Dubost, Marleen de Bruijne, Marco Nardin, Adrian V. Dalca, Kathleen L. Donahue, Anne-Katrin Giese, Mark R. Etherton, Ona Wu, Marius de Groot, Wiro Niessen, Meike Vernooij, Natalia S. Rost, Markus D. Schirmer
http://arxiv.org/abs/1907.00695v1
• [eess.IV]Bayesian Optimization on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization
Jwala Dhamala, Sandesh Ghimire, John L. Sapp, B. Milan Horacek, Linwei Wang
http://arxiv.org/abs/1907.01406v1
• [eess.IV]Conditional Segmentation in Lieu of Image Registration
Yipeng Hu, Eli Gibson, Dean C. Barratt, Mark Emberton, J. Alison Noble, Tom Vercauteren
http://arxiv.org/abs/1907.00438v1
• [eess.IV]Dual Network Architecture for Few-view CT —Trained on ImageNet Data and Transferred for Medical Imaging
Huidong Xie, Hongming Shan, Wenxiang Cong, Xiaohua Zhang, Shaohua Liu, Ruola Ning, Ge Wang
http://arxiv.org/abs/1907.01262v1
• [eess.IV]Generative Mask Pyramid Network forCT/CBCT Metal Artifact Reduction with Joint Projection-Sinogram Correction
Haofu Liao, Wei-An Lin, Zhimin Huo, Levon Vogelsang, William J. Sehnert, S. Kevin Zhou, Jiebo Luo
http://arxiv.org/abs/1907.00294v1
• [eess.IV]Global Transformer U-Nets for Label-Free Prediction of Fluorescence Images
Yi Liu, Hao Yuan, Zhengyang Wang, Shuiwang Ji
http://arxiv.org/abs/1907.00941v2
• [eess.IV]Improving the generalizability of convolutional neural network-based segmentation on CMR images
Chen Chen, Wenjia Bai, Rhodri H. Davies, Anish N. Bhuva, Charlotte Manisty, James C. Moon, Nay Aung, Aaron M. Lee, Mihir M. Sanghvi, Kenneth Fung, Jose Miguel Paiva, Steffen E. Petersen, Elena Lukaschuk, Stefan K. Piechnik, Stefan Neubauer, Daniel Rueckert
http://arxiv.org/abs/1907.01268v1
• [eess.IV]MobileGAN: Skin Lesion Segmentation Using a Lightweight Generative Adversarial Network
Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Mohamed Abdel-Nasser, Vivek Kumar Singh, Syeda Furruka Banu, Farhan Akram, Forhad U H Chowdhury, Kabir Ahmed Choudhury, Sylvie Chambon, Petia Radeva, Domenec Puig
http://arxiv.org/abs/1907.00856v1
• [eess.IV]Multi-scale GANs for Memory-efficient Generation of High Resolution Medical Images
Hristina Uzunova, Fabian Jacob, Alex Frydrychowicz, Heinz Handels, Jan Ehrhardt
http://arxiv.org/abs/1907.01376v1
• [eess.IV]SLAM Endoscopy enhanced by adversarial depth prediction
Richard J. Chen, Taylor L. Bobrow, Thomas Athey, Faisal Mahmood, Nicholas J. Durr
http://arxiv.org/abs/1907.00283v1
• [eess.IV]Seismic data denoising and deblending using deep learning
Alan Richardson, Caelen Feller
http://arxiv.org/abs/1907.01497v1
• [eess.IV]Self-supervised Hyperspectral Image Restoration using Separable Image Prior
Ryuji Imamura, Tatsuki Itasaka, Masahiro Okuda
http://arxiv.org/abs/1907.00651v1
• [eess.IV]Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis
Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David I. Laurenson
http://arxiv.org/abs/1907.00300v1
• [eess.SP]Base Station Antenna Selection for Low-Resolution ADC Systems
Jinseok Choi, Junmo Sung, Narayan Prasad, Xiao-Feng Qi, Brian L. Evans, Alan Gatherer
http://arxiv.org/abs/1907.00482v1
• [eess.SP]Beam Allocation for Millimeter-Wave MIMO Tracking Systems
Deyou Zhang, Ang Li, He Chen, Ning Wei, Ming Ding, Yonghui Li, Branka Vucetic
http://arxiv.org/abs/1907.00538v1
• [eess.SP]Deep Learning for Hybrid 5G Services in Mobile Edge Computing Systems: Learn from a Digital Twin
Rui Dong, Changyang She, Wibowo Hardjawana, Yonghui Li, Branka Vucetic
http://arxiv.org/abs/1907.01523v1
• [eess.SP]Improved Circuit Design of Analog Joint Source Channel Coding for Low-power and Low-complexity Wireless Sensors
Xueyuan Zhao, Vidyasagar Sadhu, Anthony Yang, Dario Pompili
http://arxiv.org/abs/1907.01442v1
• [eess.SY]Automatic Real-time Anomaly Detection for Autonomous Aerial Vehicles
Azarakhsh Keipour, Mohammadreza Mousaei, Sebastian Scherer
http://arxiv.org/abs/1907.00511v1
• [eess.SY]Distributed Global Output-Feedback Control for a Class of Euler-Lagrange Systems
Qingkai Yang, Hao Fang, Jie Chen, Zhong-Ping Jiang, Ming Cao
http://arxiv.org/abs/1907.00220v1
• [math.HO]Male Under-performance in Undergraduate Engineering Mathematical Courses: Causes and Solution Strategy
Luai Al Labadi, Hishyar Khalil, Nida Siddiqui
http://arxiv.org/abs/1907.00552v1
• [math.NA]A data-driven approach for multiscale elliptic PDEs with random coefficients based on intrinsic dimension reduction
Sijing Li, Zhiwen Zhang, Hongkai Zhao
http://arxiv.org/abs/1907.00806v1
• [math.NA]Lossy Compression for Large Scale PDE Problems
Sebastian Götschel, Martin Weiser
http://arxiv.org/abs/1907.00667v1
• [math.OC]Competitive Algorithms for Online Budget-Constrained Continuous DR-Submodular Problems
Omid Sadeghi, Reza Eghbali, Maryam Fazel
http://arxiv.org/abs/1907.00312v1
• [math.OC]Conjugate Gradients and Accelerated Methods Unified: The Approximate Duality Gap View
Jelena Diakonikolas, Lorenzo Orecchia
http://arxiv.org/abs/1907.00289v1
• [math.OC]Efficient Algorithms for Smooth Minimax Optimization
Kiran Koshy Thekumparampil, Prateek Jain, Praneeth Netrapalli, Sewoong Oh
http://arxiv.org/abs/1907.01543v1
• [math.OC]Online Continuous DR-Submodular Maximization with Long-Term Budget Constraints
Omid Sadeghi, Maryam Fazel
http://arxiv.org/abs/1907.00316v1
• [math.OC]The Constrained $L_p$-$L_q$ Basis Pursuit Denoising Problem
Lei Yang, Xiaojun Chen, Shuhuang Xiang
http://arxiv.org/abs/1907.00880v1
• [math.PR]Constrained Monte Carlo Markov Chains on Graphs
Roy Cerqueti, Emilio De Santis
http://arxiv.org/abs/1907.00779v1
• [math.ST]A New Lower Bound for Kullback-Leibler Divergence Based on Hammersley-Chapman-Robbins Bound
Tomohiro Nishiyama
http://arxiv.org/abs/1907.00288v1
• [math.ST]A greedy algorithm for sparse precision matrix approximation
Didi Lv, Xiaoqun Zhang
http://arxiv.org/abs/1907.00723v1
• [math.ST]Bounding Causes of Effects with Mediators
Philip Dawid, Macartan Humphreys, Monica Musio
http://arxiv.org/abs/1907.00399v1
• [math.ST]Elicitability and Identifiability of Systemic Risk Measures and other Set-Valued Functionals
Tobias Fissler, Jana Hlavinová, Birgit Rudloff
http://arxiv.org/abs/1907.01306v1
• [math.ST]Geodesic Distance Estimation with Spherelets
Didong Li, David B Dunson
http://arxiv.org/abs/1907.00296v1
• [math.ST]Large-scale inference with block structure
Jiyao Kou, Guenther Walther
http://arxiv.org/abs/1907.00085v1
• [math.ST]Multidimensional Scaling on Metric Measure Spaces
Henry Adams, Mark Blumstein, Lara Kassab
http://arxiv.org/abs/1907.01379v1
• [math.ST]Multiple Bayesian Filtering as Message Passing
Giorgio M. Vitetta, Pasquale Di Viesti, Emilio Sirignano, Francesco Montorsi
http://arxiv.org/abs/1907.01358v1
• [math.ST]Power Lindley distribution and software metrics
Mohammed Khalleefah, Sofiya Ostrovska, Mehmet Turan
http://arxiv.org/abs/1907.00668v1
• [math.ST]Robust analogues to the Coefficient of Variation
Chandima N. P. G. Arachchige, Luke A. Prendergast, Robert G. Staudte
http://arxiv.org/abs/1907.01110v1
• [math.ST]Specification testing in semi-parametric transformation models
Nick Kloodt, Natalie Neumeyer, Ingrid Van Keilegom
http://arxiv.org/abs/1907.01223v1
• [math.ST]Statistical estimation of the Kullback-Leibler divergence
Alexander Bulinski, Denis Dimitrov
http://arxiv.org/abs/1907.00196v1
• [math.ST]The generalized orthogonal Procrustes problem in the high noise regime
Thomas Pumir, Amit Singer, Nicolas Boumal
http://arxiv.org/abs/1907.01145v1
• [physics.chem-ph]Automatic Routing of Goldstone Diagrams using Genetic Algorithms
Nils Herrmann, Michael Hanrath
http://arxiv.org/abs/1907.00426v1
• [physics.chem-ph]Predicting Retrosynthetic Reaction using Self-Corrected Transformer Neural Networks
Shuangjia Zheng, Jiahua Rao, Zhongyue Zhang, Jun Xu, Yuedong Yang
http://arxiv.org/abs/1907.01356v1
• [physics.soc-ph]Identifying vital nodes based on reverse greedy method
Tao Ren, Zhe Li, Yi Qi, Yixin Zhang, Simiao Liu, Yanjie Xu, Tao Zhou
http://arxiv.org/abs/1907.01388v1
• [physics.soc-ph]Influence measures in subnetworks using vertex centrality
Roy Cerqueti, Gian Paolo Clemente, Rosanna Grassi
http://arxiv.org/abs/1907.00431v1
• [physics.soc-ph]Instability of social network dynamics with stubborn links
Somaye Sheykhali, Amir Hossein Darooneh, Gholam Reza Jafari
http://arxiv.org/abs/1907.00352v1
• [physics.soc-ph]The Role of Network Structure and Initial Group Norm Distributions in Norm Conflict
Julian Kohne, Natalie Gallagher, Zeynep Melis Kirgil, Rocco Paolillo, Lars Padmos, Fariba Karimi
http://arxiv.org/abs/1907.00888v1
• [q-bio.BM]Molecular activity prediction using graph convolutional deep neural network considering distance on a molecular graph
Masahito Ohue, Ryota Ii, Keisuke Yanagisawa, Yutaka Akiyama
http://arxiv.org/abs/1907.01103v1
• [q-bio.NC]A Power Efficient Artificial Neuron Using Superconducting Nanowires
Emily Toomey, Ken Segall, Karl K. Berggren
http://arxiv.org/abs/1907.00263v1
• [q-bio.NC]Simple 1-D Convolutional Networks for Resting-State fMRI Based Classification in Autism
Ahmed El Gazzar, Leonardo Cerliani, Guido van Wingen, Rajat Mani Thomas
http://arxiv.org/abs/1907.01288v1
• [q-bio.NC]Unsupervised predictive coding models may explain visual brain representation
Marcio Fonseca
http://arxiv.org/abs/1907.00441v1
• [q-bio.QM]Neural parameters estimation for brain tumor growth modeling
Ivan Ezhov, Jana Lipkova, Suprosanna Shit, Florian Kofler, Nore Collomb, Benjamin Lemasson, Emmanuel Barbier, Bjoern Menze
http://arxiv.org/abs/1907.00973v1
• [q-fin.ST]Improved Forecasting of Cryptocurrency Price using Social Signals
Maria Glenski, Tim Weninger, Svitlana Volkova
http://arxiv.org/abs/1907.00558v1
• [quant-ph]Logical Clifford Synthesis for Stabilizer Codes
Narayanan Rengaswamy, Robert Calderbank, Swanand Kadhe, Henry D. Pfister
http://arxiv.org/abs/1907.00310v1
• [quant-ph]Quantum Data-Syndrome Codes
Alexei Ashikhmin, Ching-Yi Lai, Todd A. Brun
http://arxiv.org/abs/1907.01393v1
• [stat.AP]An Intrinsic Geometrical Approach for Statistical Process Control of Surface and Manifold Data
Xueqi Zhao, Enrique del Castillo
http://arxiv.org/abs/1907.00111v1
• [stat.AP]Applying Meta-Analytic Predictive Priors with the R Bayesian evidence synthesis tools
Sebastian Weber, Yue Li, John Seaman, Tomoyuki Kakizume, Heinz Schmidli
http://arxiv.org/abs/1907.00603v1
• [stat.AP]ICU Disparnumerophobia and Triskaidekaphobia: The ‘Irrational Care Unit’?
Ari Ercole
http://arxiv.org/abs/1907.00846v1
• [stat.AP]Large Volatility Matrix Prediction with High-Frequency Data
Xinyu Song
http://arxiv.org/abs/1907.01196v1
• [stat.AP]Wave-shape oscillatory model for biomedical time series with applications
Yu-Ting Lin, John Malik, Hau-Tieng Wu
http://arxiv.org/abs/1907.00502v1
• [stat.CO]trialr: Bayesian Clinical Trial Designs in R and Stan
Kristian Brock
http://arxiv.org/abs/1907.00161v1
• [stat.ME]Adaptive Partitioning Design and Analysis for Emulation of a Complex Computer Code
Sonja Surjanovic, William J. Welch
http://arxiv.org/abs/1907.01181v1
• [stat.ME]An outlier-robust Kalman filter with mixture correntropy
Hongwei Wang, Wei Zhang, Junyi Zuo, Heping Wang
http://arxiv.org/abs/1907.00307v1
• [stat.ME]Bayesian Analysis of High-dimensional Discrete Graphical Models
Anwesha Bhattacharyya, Yves Atchade
http://arxiv.org/abs/1907.01170v1
• [stat.ME]Coupling techniques for nonlinear ensemble filtering
Alessio Spantini, Ricardo Baptista, Youssef Marzouk
http://arxiv.org/abs/1907.00389v1
• [stat.ME]Estimating Treatment Effect under Additive Hazards Models with High-dimensional Covariates
Jue Hou, Jelena Bradic, Ronghui Xu
http://arxiv.org/abs/1907.00287v1
• [stat.ME]Frequentist performances of Bayesian prediction intervals for random-effects meta-analysis
Yuta Hamaguchi, Hisashi Noma, Kengo Nagashima, Tomohide Yamada, Toshi A. Furukawa
http://arxiv.org/abs/1907.00345v1
• [stat.ME]Multiple competition based FDR control
Kristen Emery, Syamand Hasam, William Stafford Noble, Uri Keich
http://arxiv.org/abs/1907.01458v1
• [stat.ME]On Global-local Shrinkage Priors for Count Data
Yasuyuki Hamura, Kaoru Irie, Shonosuke Sugasawa
http://arxiv.org/abs/1907.01333v1
• [stat.ME]Penalized Variable Selection in Multi-Parameter Regression Survival Modelling
Fatima-Zahra Jaouimaa, Il Do Ha, Kevin Burke
http://arxiv.org/abs/1907.01511v1
• [stat.ME]State-of-the-art in selection of variables and functional forms in multivariable analysis — outstanding issues
Willi Sauerbrei, Aris Perperoglou, Matthias Schmid, Michal Abrahamowicz, Heiko Becher, Harald Binder, Daniela Dunkler, Frank E. Harrell Jr, Patrick Royston, Georg Heinze
http://arxiv.org/abs/1907.00786v1
• [stat.ME]Transformed Naive Ratio and Product Based Estimators for Estimating Population Mode in Simple Random Sampling
Sanjay Kumar, Nirmal Tiwari
http://arxiv.org/abs/1907.00519v1
• [stat.ME]Using Subset Log-Likelihoods to Trim Outliers in Gaussian Mixture Models
Katharine M. Clark, Paul D. McNicholas
http://arxiv.org/abs/1907.01136v1
• [stat.ME]Volatility Analysis with Realized GARCH-Ito Models
Xinyu Song, Donggyu Kim, Huiling Yuan, Xiangyu Cui, Zhiping Lu, Young Zhou, Yazhen Wang
http://arxiv.org/abs/1907.01175v1
• [stat.ML]A Kernel Stein Test for Comparing Latent Variable Models
Heishiro Kanagawa, Wittawat Jitkrittum, Lester Mackey, Kenji Fukumizu, Arthur Gretton
http://arxiv.org/abs/1907.00586v1
• [stat.ML]A Unified Approach to Robust Mean Estimation
Adarsh Prasad, Sivaraman Balakrishnan, Pradeep Ravikumar
http://arxiv.org/abs/1907.00927v1
• [stat.ML]Accurate, reliable and fast robustness evaluation
Wieland Brendel, Jonas Rauber, Matthias Kümmerer, Ivan Ustyuzhaninov, Matthias Bethge
http://arxiv.org/abs/1907.01003v1
• [stat.ML]Augmenting and Tuning Knowledge Graph Embeddings
Robert Bamler, Farnood Salehi, Stephan Mandt
http://arxiv.org/abs/1907.01068v1
• [stat.ML]Radial Bayesian Neural Networks: Robust Variational Inference In Big Models
Sebastian Farquhar, Michael Osborne, Yarin Gal
http://arxiv.org/abs/1907.00865v1
• [stat.ML]Sparse regular variation
Nicolas Meyer, Olivier Wintenberger
http://arxiv.org/abs/1907.00686v1
• [stat.ML]Time-to-Event Prediction with Neural Networks and Cox Regression
Håvard Kvamme, Ørnulf Borgan, Ida Scheel
http://arxiv.org/abs/1907.00825v1