astro-ph.IM - 仪器仪表和天体物理学方法
cs.AI - 人工智能 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.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.PL - 编程语言 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 econ.GN - 一般经济学 econ.TH - 理论经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.CO - 组合数学 math.OC - 优化与控制 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.data-an - 数据分析、 统计和概率 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 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
• [astro-ph.IM]Metadata Extraction from Raw Astroparticle Data of TAIGA Experiment
• [cs.AI]A Neural Turing~Machine for Conditional Transition Graph Modeling
• [cs.AI]Automated Gaming Pommerman: FFA
• [cs.AI]Automated Playtesting of Matching Tile Games
• [cs.AI]Comprehensive Process Drift Detection with Visual Analytics
• [cs.AI]The Many AI Challenges of Hearthstone
• [cs.CG]Noise-Stable Rigid Graphs for Euclidean Embedding
• [cs.CL]A Simple BERT-Based Approach for Lexical Simplification
• [cs.CL]Asking Clarifying Questions in Open-Domain Information-Seeking Conversations
• [cs.CL]Cross-Lingual Transfer Learning for Question Answering
• [cs.CL]Facebook FAIR’s WMT19 News Translation Task Submission
• [cs.CL]GLOSS: Generative Latent Optimization of Sentence Representations
• [cs.CL]Investigation on N-gram Approximated RNNLMs for Recognition of Morphologically Rich Speech
• [cs.CL]Joint Language Identification of Code-Switching Speech using Attention based E2E Network
• [cs.CL]Microsoft Translator at WMT 2019: Towards Large-Scale Document-Level Neural Machine Translation
• [cs.CL]Naver Labs Europe’s Systems for the WMT19 Machine Translation Robustness Task
• [cs.CL]Pykaldi2: Yet another speech toolkit based on Kaldi and Pytorch
• [cs.CL]RaKUn: Rank-based Keyword extraction via Unsupervised learning and Meta vertex aggregation
• [cs.CL]Relational Memory-based Knowledge Graph Embedding
• [cs.CL]Simple Automatic Post-editing for Arabic-Japanese Machine Translation
• [cs.CL]TWEETQA: A Social Media Focused Question Answering Dataset
• [cs.CL]Tackling Graphical NLP problems with Graph Recurrent Networks
• [cs.CR]Anonymous and confidential file sharing over untrusted clouds
• [cs.CR]Confidentiality and linked data
• [cs.CR]Local Distribution Obfuscation via Probability Coupling
• [cs.CR]Towards Characterizing and Limiting Information Exposure in DNN Layers
• [cs.CV]A Conditional Wasserstein Generative Adversarial Network for Pixel-level Crack Detection using Video Extracted Images
• [cs.CV]ALFA: Agglomerative Late Fusion Algorithm for Object Detection
• [cs.CV]Adaptive Context Encoding Module for Semantic Segmentation
• [cs.CV]An Efficient Framework for Visible-Infrared Cross Modality Person Re-Identification
• [cs.CV]CA-RefineNet:A Dual Input WSI Image Segmentation Algorithm Based on Attention
• [cs.CV]Color Cerberus
• [cs.CV]Detecting and Simulating Artifacts in GAN Fake Images
• [cs.CV]Efficient Video Generation on Complex Datasets
• [cs.CV]FMRI data augmentation via synthesis
• [cs.CV]FastV2C-HandNet: Fast Voxel to Coordinate Hand Pose Estimation with 3D Convolutional Neural Networks
• [cs.CV]FoodX-251: A Dataset for Fine-grained Food Classification
• [cs.CV]Gesture-to-Gesture Translation in the Wild via Category-Independent Conditional Maps
• [cs.CV]Improving the Harmony of the Composite Image by Spatial-Separated Attention Module
• [cs.CV]M3D-RPN: Monocular 3D Region Proposal Network for Object Detection
• [cs.CV]Mitigating the Hubness Problem for Zero-Shot Learning of 3D Objects
• [cs.CV]Motion Segmentation Using Locally Affine Atom Voting
• [cs.CV]Multi-Task Recurrent Convolutional Network with Correlation Loss for Surgical Video Analysis
• [cs.CV]Multimodal deep networks for text and image-based document classification
• [cs.CV]Perceptually Motivated Method for Image Inpainting Comparison
• [cs.CV]Quick, Stat!: A Statistical Analysis of the Quick, Draw! Dataset
• [cs.CV]Recovery Guarantees for Compressible Signals with Adversarial Noise
• [cs.CV]Sequence Level Semantics Aggregation for Video Object Detection
• [cs.CV]Smile, be Happy :) Emoji Embedding for Visual Sentiment Analysis
• [cs.CV]State Estimation in Visual Inertial Autonomous Helicopter Landing Using Optimisation on Manifold
• [cs.CV]Structure-Aware Residual Pyramid Network for Monocular Depth Estimation
• [cs.CV]SynthText3D: Synthesizing Scene Text Images from 3D Virtual Worlds
• [cs.CV]ThirdEye: Triplet Based Iris Recognition without Normalization
• [cs.CV]Understanding Deep Learning Techniques for Image Segmentation
• [cs.CV]Unsupervised Automatic Building Extraction Using Active Contour Model on Unregistered Optical Imagery and Airborne LiDAR Data
• [cs.CV]Using dynamic routing to extract intermediate features for developing scalable capsule networks
• [cs.CY]Information Pollution by Social Bots
• [cs.CY]The Elusive Model of Technology, Media, Social Development, and Financial Sustainability
• [cs.CY]Tracking sex: The implications of widespread sexual data leakage and tracking on porn websites
• [cs.DB]Delivery, consistency, and determinism: rethinking guarantees in distributed stream processing
• [cs.DC]A Recursive Algebraic Coloring Technique for Hardware-Efficient Symmetric Sparse Matrix-Vector Multiplication
• [cs.DC]A Versatile Software Systolic Execution Model for GPU Memory-Bound Kernels
• [cs.DC]Distributed Black-Box Optimization via Error Correcting Codes
• [cs.DC]Dogfooding: use IBM Cloud services to monitor IBM Cloud infrastructure
• [cs.DC]Efficient self-stabilizing leader election in population protocols
• [cs.DC]Posit NPB: Assessing the Precision Improvement in HPC Scientific Applications
• [cs.DC]Supporting Security Sensitive Tenants in a Bare-Metal Cloud
• [cs.DS]Efficient average-case population recovery in the presence of insertions and deletions
• [cs.DS]Online-Learning for min-max discrete problems
• [cs.DS]Seedless Graph Matching via Tail of Degree Distribution for Correlated Erdos-Renyi Graphs
• [cs.HC]Discourse Behavior of Older Adults Interacting With a Dialogue Agent Competent in Multiple Topics
• [cs.IR]A Novel User Representation Paradigm for Making Personalized Candidate Retrieval
• [cs.IR]A study on the Interpretability of Neural Retrieval Models using DeepSHAP
• [cs.IR]Ranking sentences from product description & bullets for better search
• [cs.IR]Satellite System Graph: Towards the Efficiency Up-Boundary of Graph-Based Approximate Nearest Neighbor Search
• [cs.IR]Should we Embed? A Study on the Online Performance of Utilizing Embeddings for Real-Time Job Recommendations
• [cs.IR]To Model or to Intervene: A Comparison of Counterfactual and Online Learning to Rank from User Interactions
• [cs.IT]Combinatorial t-designs from quadratic functions
• [cs.IT]Empirical Coordination Subject to a Fidelity Criterion
• [cs.IT]Energy-Efficient Radio Resource Allocation for Federated Edge Learning
• [cs.IT]Entanglement-assisted Quantum Codes from Algebraic Geometry Codes
• [cs.IT]Hybrid Offline-Online Design for UAV-Enabled Data Harvesting in Probabilistic LoS Channel
• [cs.IT]Lower Bound for RIP Constants and Concentration of Sum of Top Order Statistics
• [cs.IT]Multi-Hop Wireless Optical Backhauling for LiFi Attocell Networks: Bandwidth Scheduling and Power Control
• [cs.IT]On the Differential Linear Connectivity Table of Vectorial Boolean Functions
• [cs.IT]On the Polarization of Rényi Entropy
• [cs.IT]Random Khatri-Rao-Product Codes for Numerically-Stable Distributed Matrix Multiplication
• [cs.IT]Reliability-Latency Performance of Frameless ALOHA with and without Feedback
• [cs.IT]Single-Component Privacy Guarantees in Helper Data Systems and Sparse Coding
• [cs.IT]Skew Generalized Cyclic Code over $ R[x_1;σ_1,δ_1][x_2;σ_2,δ_2]$
• [cs.IT]The Age of Incorrect Information: A New Performance Metric for Status Updates
• [cs.LG]A Divide-and-Conquer Approach towards Understanding Deep Networks
• [cs.LG]A Dual Memory Structure for Efficient Use of Replay Memory in Deep Reinforcement Learning
• [cs.LG]A Study and Analysis of a Feature Subset Selection Technique using Penguin Search Optimization Algorithm (FS-PeSOA)
• [cs.LG]Agglomerative Attention
• [cs.LG]Aggregate-Eliminate-Predict: Detecting Adverse Drug Events from Heterogeneous Electronic Health Records
• [cs.LG]Automated Real-time Anomaly Detection in Human Trajectories using Sequence to Sequence Networks
• [cs.LG]Batch-Shaped Channel Gated Networks
• [cs.LG]Bringing Giant Neural Networks Down to Earth with Unlabeled Data
• [cs.LG]Compressed Subspace Learning Based on Canonical Angle Preserving Property
• [cs.LG]Concept-Centric Visual Turing Tests for Method Validation
• [cs.LG]Counterfactual Reasoning for Fair Clinical Risk Prediction
• [cs.LG]Differentiable Bayesian Neural Network Inference for Data Streams
• [cs.LG]Discriminative Active Learning
• [cs.LG]Dynamical Systems as Temporal Feature Spaces
• [cs.LG]Exploring Deep Anomaly Detection Methods Based on Capsule Net
• [cs.LG]Feature space transformations and model selection to improve the performance of classifiers
• [cs.LG]Federated Reinforcement Distillation with Proxy Experience Memory
• [cs.LG]Finite-Time Performance Bounds and Adaptive Learning Rate Selection for Two Time-Scale Reinforcement Learning
• [cs.LG]Learning Neural Networks with Adaptive Regularization
• [cs.LG]MIPaaL: Mixed Integer Program as a Layer
• [cs.LG]Measuring the Transferability of Adversarial Examples
• [cs.LG]Medical Concept Representation Learning from Claims Data and Application to Health Plan Payment Risk Adjustment
• [cs.LG]Minimal Sample Subspace Learning: Theory and Algorithms
• [cs.LG]Modeling the Uncertainty in Electronic Health Records: a Bayesian Deep Learning Approach
• [cs.LG]More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning
• [cs.LG]Motorway Traffic Flow Prediction using Advanced Deep Learning
• [cs.LG]Multi-Element Long Distance Dependencies: Using SPk Languages to Explore the Characteristics of Long-Distance Dependencies
• [cs.LG]Multi-hop Federated Private Data Augmentation with Sample Compression
• [cs.LG]Multiscale Principle of Relevant Information for Hyperspectral Image Classification
• [cs.LG]Myers-Briggs Personality Classification and Personality-Specific Language Generation Using Pre-trained Language Models
• [cs.LG]Neural Embedding for Physical Manipulations
• [cs.LG]On the Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost
• [cs.LG]On the Role of Time in Learning
• [cs.LG]Parameterized Exploration
• [cs.LG]Preselection Bandits under the Plackett-Luce Model
• [cs.LG]Proximal Policy Optimization with Mixed Distributed Training
• [cs.LG]Revealing posturographic features associated with the risk of falling in patients with Parkinsonian syndromes via machine learning
• [cs.LG]Robust Nonlinear Component Estimation with Tikhonov Regularization
• [cs.LG]Sequential online prediction in the presence of outliers and change points: an instant temporal structure learning approach
• [cs.LG]Stochastic Convergence Results for Regularized Actor-Critic Methods
• [cs.LG]Task Selection Policies for Multitask Learning
• [cs.LG]The FAST Algorithm for Submodular Maximization
• [cs.LG]The Futility of Bias-Free Learning and Search
• [cs.LG]What does it mean to understand a neural network?
• [cs.NE]An Evolutionary Algorithm of Linear complexity: Application to Training of Deep Neural Networks
• [cs.NE]Controlling Model Complexity in Probabilistic Model-Based Dynamic Optimization of Neural Network Structures
• [cs.NE]Evolvability ES: Scalable and Direct Optimization of Evolvability
• [cs.NE]Reinforcement Learning with Chromatic Networks
• [cs.PL]Bayesian Synthesis of Probabilistic Programs for Automatic Data Modeling
• [cs.RO]Coverage Sampling Planner for UAV-enabled Environmental Exploration and Field Mapping
• [cs.RO]Energy-efficient Path Planning for Ground Robots by Combining Air and Ground Measurements
• [cs.RO]Forward and Inverse Kinematics of a Single Section Inextensible Continuum Arm
• [cs.RO]Learning better generative models for dexterous, single-view grasping of novel objects
• [cs.RO]Motion Planning Networks: Bridging the Gap Between Learning-based and Classical Motion Planners
• [cs.RO]NH-TTC: A gradient-based framework for generalized anticipatory collision avoidance
• [cs.RO]Vid2Param: Online system identification from video for robotics applications
• [cs.SD]Learning Complex Basis Functions for Invariant Representations of Audio
• [cs.SD]Towards Robust Voice Pathology Detection
• [cs.SE]Automatic Repair and Type Binding of Undeclared Variables using Neural Networks
• [cs.SE]Patterns of Effort Contribution and Demand and User Classification based on Participation Patterns in NPM Ecosystem
• [cs.SE]Predicting Merge Conflicts in Collaborative Software Development
• [cs.SE]Towards Generation of Visual Attention Map for Source Code
• [cs.SI]Changing Views: Persuasion Modeling and Argument Extraction from Online Discussions
• [cs.SI]Democratic summary of public opinions in free-response surveys
• [econ.EM]A Simple Uniformly Valid Test for Inequalities
• [econ.EM]Audits as Evidence: Experiments, Ensembles, and Enforcement
• [econ.GN]Online Rental Housing Market Representation and the Digital Reproduction of Urban Inequality
• [econ.TH]Necessary and sufficient condition for equilibrium of the Hotelling model
• [eess.AS]BUT VOiCES 2019 System Description
• [eess.AS]Learn Spelling from Teachers: Transferring Knowledge from Language Models to Sequence-to-Sequence Speech Recognition
• [eess.AS]Speaker Recognition with Random Digit Strings Using Uncertainty Normalized HMM-based i-vectors
• [eess.AS]Voice Pathology Detection Using Deep Learning: a Preliminary Study
• [eess.IV]Deep Sequential Mosaicking of Fetoscopic Videos
• [eess.IV]DeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images
• [eess.IV]Enabling Multi-Shell b-Value Generalizability of Data-Driven Diffusion Models with Deep SHORE
• [eess.IV]Image Evolution Trajectory Prediction and Classification from Baseline using Learning-based Patch Atlas Selection for Early Diagnosis
• [eess.IV]Improved Hybrid Layered Image Compression using Deep Learning and Traditional Codecs
• [eess.IV]Multi-scale Graph-based Grading for Alzheimer’s Disease Prediction
• [eess.IV]S&CNet: A Enhanced Coarse-to-fine Framework For Monocular Depth Completion
• [eess.SP]Energy-Efficient Activation and Uplink Transmission for Cellular IoT
• [eess.SP]Intelligent Reflecting Surface: Practical Phase Shift Model and Beamforming Optimization
• [eess.SP]Low PAPR Reference Signal Transceiver Design for 3GPP 5G NR Uplink
• [eess.SP]On Discrete-Time/Frequency-Periodic End-to-End Fiber-Optical Channel Models
• [eess.SY]ALFA: A Dataset for UAV Fault and Anomaly Detection
• [eess.SY]Hybrid Model-Based and Data-Driven Wind Velocity Estimator for the Navigation System of a Robotic Airship
• [eess.SY]Seeker based Adaptive Guidance via Reinforcement Meta-Learning Applied to Asteroid Close Proximity Operations
• [math.CO]Linear programming bounds for cliques in Paley graphs
• [math.OC]Convergence Analysis of Machine Learning Algorithms for the Numerical Solution of Mean Field Control and Games: I — The Ergodic Case
• [math.ST]A new approach to Poissonian two-armed bandit problem
• [math.ST]Fisher-Rao Geometry and Jeffreys Prior for Pareto Distribution
• [math.ST]Pointwise adaptive kernel density estimation under local approximate differential privacy
• [math.ST]Probability inequalities for high dimensional time series under a triangular array framework
• [math.ST]Shadow Simulated Annealing algorithm: a new tool for global optimisation and statistical inference
• [physics.comp-ph]Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning
• [physics.data-an]A machine learning framework for computationally expensive transient models
• [physics.soc-ph]Langevin method for a continuous stochastic car-following model and its stability conditions
• [physics.soc-ph]Micro, Meso, Macro: the effect of triangles on communities in networks
• [q-bio.NC]Autoencoding sensory substitution
• [quant-ph]Experimental machine learning quantum homodyne tomography
• [quant-ph]Resource theory of asymmetric distinguishability for quantum channels
• [stat.AP]Markov-switching State Space Models for Uncovering Musical Interpretation
• [stat.AP]On the Evolution of U.S. Temperature Dynamics
• [stat.CO]Markov chain Monte Carlo algorithms with sequential proposals
• [stat.ME]An Assumption-Free Exact Test For Fixed-Design Linear Models With Exchangeable Errors
• [stat.ME]An efficient estimator of the parameters of the Generalized Lambda Distribution
• [stat.ME]Bayesian Wavelet Shrinkage with Beta Priors
• [stat.ME]Estimating densities with nonlinear support using Fisher-Gaussian kernels
• [stat.ME]Fast Algorithms and Theory for High-Dimensional Bayesian Varying Coefficient Models
• [stat.ME]Inference for high-dimensional linear mixed-effects models: A quasi-likelihood approach
• [stat.ME]Leveraging Auxiliary Information on Marginal Distributions in Nonignorable Models for Item and Unit Nonresponse
• [stat.ME]Multilevel models for continuous outcomes
• [stat.ME]Posterior Predictive Treatment Assignment Methods for Causal Inference in the Context of Time-Varying Treatments
• [stat.ME]Predicting phenotypes from microarrays using amplified, initially marginal, eigenvector regression
• [stat.ME]The Elicitation of Prior Distributions for Bayesian Responsive Survey Design: Historical Data Analysis vs. Literature Review
• [stat.ML]A Causal Bayesian Networks Viewpoint on Fairness
• [stat.ML]A Dimension-free Algorithm for Contextual Continuum-armed Bandits
• [stat.ML]Addressing Delayed Feedback for Continuous Training with Neural Networks in CTR prediction
• [stat.ML]The Use of Gaussian Processes in System Identification
• [stat.ML]Unsupervised Fault Detection in Varying Operating Conditions
• [stat.ML]k-hop Graph Neural Networks
·····································
• [astro-ph.IM]Metadata Extraction from Raw Astroparticle Data of TAIGA Experiment
Igor Bychkov, Julia Dubenskaya, Elena Korosteleva, Alexandr Kryukov, Andrey Mikhailov, Minh-Duc Nguyen, Alexey Shigarov
http://arxiv.org/abs/1907.06183v1
• [cs.AI]A Neural Turing~Machine for Conditional Transition Graph Modeling
Mehdi Ben Lazreg, Morten Goodwin, Ole-Christoffer Granmo
http://arxiv.org/abs/1907.06432v1
• [cs.AI]Automated Gaming Pommerman: FFA
Ms. Navya Singh, Mr. Anshul Dhull, Mr. Barath Mohan. S, Mr. Bhavish Pahwa, Ms. Komal Sharma
http://arxiv.org/abs/1907.06096v1
• [cs.AI]Automated Playtesting of Matching Tile Games
Luvneesh Mugrai, Fernando de Mesentier Silva, Christoffer Holmgård, Julian Togelius
http://arxiv.org/abs/1907.06570v1
• [cs.AI]Comprehensive Process Drift Detection with Visual Analytics
Anton Yeshchenko, Claudio Di Ciccio, Jan Mendling, Artem Polyvyanyy
http://arxiv.org/abs/1907.06386v1
• [cs.AI]The Many AI Challenges of Hearthstone
Amy K. Hoover, Julian Togelius, Scott Lee, Fernando de Mesentier Silva
http://arxiv.org/abs/1907.06562v1
• [cs.CG]Noise-Stable Rigid Graphs for Euclidean Embedding
Zishuo Zhao, Shi-Min Hu
http://arxiv.org/abs/1907.06441v1
• [cs.CL]A Simple BERT-Based Approach for Lexical Simplification
Jipeng Qiang, Yun Li, Yi Zhu, Yunhao Yuan
http://arxiv.org/abs/1907.06226v1
• [cs.CL]Asking Clarifying Questions in Open-Domain Information-Seeking Conversations
Mohammad Aliannejadi, Hamed Zamani, Fabio Crestani, W. Bruce Croft
http://arxiv.org/abs/1907.06554v1
• [cs.CL]Cross-Lingual Transfer Learning for Question Answering
Chia-Hsuan Lee, Hung-Yi Lee
http://arxiv.org/abs/1907.06042v1
• [cs.CL]Facebook FAIR’s WMT19 News Translation Task Submission
Nathan Ng, Kyra Yee, Alexei Baevski, Myle Ott, Michael Auli, Sergey Edunov
http://arxiv.org/abs/1907.06616v1
• [cs.CL]GLOSS: Generative Latent Optimization of Sentence Representations
Sidak Pal Singh, Angela Fan, Michael Auli
http://arxiv.org/abs/1907.06385v1
• [cs.CL]Investigation on N-gram Approximated RNNLMs for Recognition of Morphologically Rich Speech
Balázs Tarján, György Szaszák, Tibor Fegyó, Péter Mihajlik
http://arxiv.org/abs/1907.06407v1
• [cs.CL]Joint Language Identification of Code-Switching Speech using Attention based E2E Network
Sreeram Ganji, Kunal Dhawan, Kumar Priyadarshi, Rohit Sinha
http://arxiv.org/abs/1907.06342v1
• [cs.CL]Microsoft Translator at WMT 2019: Towards Large-Scale Document-Level Neural Machine Translation
Marcin Junczys-Dowmunt
http://arxiv.org/abs/1907.06170v1
• [cs.CL]Naver Labs Europe’s Systems for the WMT19 Machine Translation Robustness Task
Alexandre Bérard, Ioan Calapodescu, Claude Roux
http://arxiv.org/abs/1907.06488v1
• [cs.CL]Pykaldi2: Yet another speech toolkit based on Kaldi and Pytorch
Liang Lu, Xiong Xiao, Zhuo Chen, Yifan Gong
http://arxiv.org/abs/1907.05955v1
• [cs.CL]RaKUn: Rank-based Keyword extraction via Unsupervised learning and Meta vertex aggregation
Blaž Škrlj, Andraž Repar, Senja Pollak
http://arxiv.org/abs/1907.06458v1
• [cs.CL]Relational Memory-based Knowledge Graph Embedding
Dai Quoc Nguyen, Tu Dinh Nguyen, Dinh Phung
http://arxiv.org/abs/1907.06080v1
• [cs.CL]Simple Automatic Post-editing for Arabic-Japanese Machine Translation
Ella Noll, Mai Oudah, Nizar Habash
http://arxiv.org/abs/1907.06210v1
• [cs.CL]TWEETQA: A Social Media Focused Question Answering Dataset
Wenhan Xiong, Jiawei Wu, Hong Wang, Vivek Kulkarni, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang
http://arxiv.org/abs/1907.06292v1
• [cs.CL]Tackling Graphical NLP problems with Graph Recurrent Networks
Linfeng Song
http://arxiv.org/abs/1907.06142v1
• [cs.CR]Anonymous and confidential file sharing over untrusted clouds
Stefan Contiu, Sébastien Vaucher, Rafael Pires, Marcelo Pasin, Pascal Felber, Laurent Réveillère
http://arxiv.org/abs/1907.06466v1
• [cs.CR]Confidentiality and linked data
Felix Ritchie, Jim Smith
http://arxiv.org/abs/1907.06465v1
• [cs.CR]Local Distribution Obfuscation via Probability Coupling
Yusuke Kawamoto, Takao Murakami
http://arxiv.org/abs/1907.05991v1
• [cs.CR]Towards Characterizing and Limiting Information Exposure in DNN Layers
Fan Mo, Ali Shahin Shamsabadi, Kleomenis Katevas, Andrea Cavallaro, Hamed Haddadi
http://arxiv.org/abs/1907.06034v1
• [cs.CV]A Conditional Wasserstein Generative Adversarial Network for Pixel-level Crack Detection using Video Extracted Images
Qipei Mei, Mustafa Gül
http://arxiv.org/abs/1907.06014v1
• [cs.CV]ALFA: Agglomerative Late Fusion Algorithm for Object Detection
Evgenii Razinkov, Iuliia Saveleva, Jiři Matas
http://arxiv.org/abs/1907.06067v1
• [cs.CV]Adaptive Context Encoding Module for Semantic Segmentation
Congcong Wang, Faouzi Alaya Cheikh, Azeddine Beghdadi, Ole Jakob Elle
http://arxiv.org/abs/1907.06082v1
• [cs.CV]An Efficient Framework for Visible-Infrared Cross Modality Person Re-Identification
Emrah Basaran, Muhittin Gokmen, Mustafa E. Kamasak
http://arxiv.org/abs/1907.06498v1
• [cs.CV]CA-RefineNet:A Dual Input WSI Image Segmentation Algorithm Based on Attention
Ziqiang Li, Rentuo Tao, Qianrun Wu, Bin Li
http://arxiv.org/abs/1907.06358v1
• [cs.CV]Color Cerberus
A. ~Savchik, E. ~Ershov, S. ~Karpenko
http://arxiv.org/abs/1907.06483v1
• [cs.CV]Detecting and Simulating Artifacts in GAN Fake Images
Xu Zhang, Svebor Karaman, Shih-Fu Chang
http://arxiv.org/abs/1907.06515v1
• [cs.CV]Efficient Video Generation on Complex Datasets
Aidan Clark, Jeff Donahue, Karen Simonyan
http://arxiv.org/abs/1907.06571v1
• [cs.CV]FMRI data augmentation via synthesis
Peiye Zhuang, Alexander G. Schwing, Sanmi Koyejo
http://arxiv.org/abs/1907.06134v1
• [cs.CV]FastV2C-HandNet: Fast Voxel to Coordinate Hand Pose Estimation with 3D Convolutional Neural Networks
Rohan Lekhwani
http://arxiv.org/abs/1907.06327v1
• [cs.CV]FoodX-251: A Dataset for Fine-grained Food Classification
Parneet Kaur, Karan Sikka, Weijun Wang, Serge Belongie, Ajay Divakaran
http://arxiv.org/abs/1907.06167v1
• [cs.CV]Gesture-to-Gesture Translation in the Wild via Category-Independent Conditional Maps
Yahui Liu, Marco De Nadai, Gloria Zen, Nicu Sebe, Bruno Lepri
http://arxiv.org/abs/1907.05916v1
• [cs.CV]Improving the Harmony of the Composite Image by Spatial-Separated Attention Module
Cun Xiaodong, Pun Chi-Man
http://arxiv.org/abs/1907.06406v1
• [cs.CV]M3D-RPN: Monocular 3D Region Proposal Network for Object Detection
Garrick Brazil, Xiaoming Liu
http://arxiv.org/abs/1907.06038v1
• [cs.CV]Mitigating the Hubness Problem for Zero-Shot Learning of 3D Objects
Ali Cheraghian, Shafin Rahman, Dylan Campbell, Lars Petersson
http://arxiv.org/abs/1907.06371v1
• [cs.CV]Motion Segmentation Using Locally Affine Atom Voting
Erez Posner, Rami Hagege
http://arxiv.org/abs/1907.06091v1
• [cs.CV]Multi-Task Recurrent Convolutional Network with Correlation Loss for Surgical Video Analysis
Yueming Jin, Huaxia Li, Qi Dou, Hao Chen, Jing Qin, Chi-Wing Fu, Pheng-Ann Heng
http://arxiv.org/abs/1907.06099v1
• [cs.CV]Multimodal deep networks for text and image-based document classification
Nicolas Audebert, Catherine Herold, Kuider Slimani, Cédric Vidal
http://arxiv.org/abs/1907.06370v1
• [cs.CV]Perceptually Motivated Method for Image Inpainting Comparison
Ivan Molodetskikh, Mikhail Erofeev, Dmitry Vatolin
http://arxiv.org/abs/1907.06296v1
• [cs.CV]Quick, Stat!: A Statistical Analysis of the Quick, Draw! Dataset
Raul Fernandez-Fernandez, Juan G. Victores, David Estevez, Carlos Balaguer
http://arxiv.org/abs/1907.06417v1
• [cs.CV]Recovery Guarantees for Compressible Signals with Adversarial Noise
Jasjeet Dhaliwal, Kyle Hambrook
http://arxiv.org/abs/1907.06565v1
• [cs.CV]Sequence Level Semantics Aggregation for Video Object Detection
Haiping Wu, Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang
http://arxiv.org/abs/1907.06390v1
• [cs.CV]Smile, be Happy :) Emoji Embedding for Visual Sentiment Analysis
Ziad Al-Halah, Andrew Aitken, Wenzhe Shi, Jose Caballero
http://arxiv.org/abs/1907.06160v1
• [cs.CV]State Estimation in Visual Inertial Autonomous Helicopter Landing Using Optimisation on Manifold
Thinh Hoang Dinh, Hieu Le Thi Hong, Tri Ngo Dinh
http://arxiv.org/abs/1907.06247v1
• [cs.CV]Structure-Aware Residual Pyramid Network for Monocular Depth Estimation
Xiaotian Chen, Xuejin Chen, Zheng-Jun Zha
http://arxiv.org/abs/1907.06023v1
• [cs.CV]SynthText3D: Synthesizing Scene Text Images from 3D Virtual Worlds
Minghui Liao, Boyu Song, Minghang He, Shangbang Long, Cong Yao, Xiang Bai
http://arxiv.org/abs/1907.06007v1
• [cs.CV]ThirdEye: Triplet Based Iris Recognition without Normalization
Sohaib Ahmad, Benjamin Fuller
http://arxiv.org/abs/1907.06147v1
• [cs.CV]Understanding Deep Learning Techniques for Image Segmentation
Swarnendu Ghosh, Nibaran Das, Ishita Das, Ujjwal Maulik
http://arxiv.org/abs/1907.06119v1
• [cs.CV]Unsupervised Automatic Building Extraction Using Active Contour Model on Unregistered Optical Imagery and Airborne LiDAR Data
Thanh Huy Nguyen, Sylvie Daniel, Didier Gueriot, Christophe Sintes, Jean-Marc Le Caillec
http://arxiv.org/abs/1907.06206v1
• [cs.CV]Using dynamic routing to extract intermediate features for developing scalable capsule networks
Bodhisatwa Mandal, Swarnendu Ghosh, Ritesh Sarkhel, Nibaran Das, Mita Nasipuri
http://arxiv.org/abs/1907.06062v1
• [cs.CY]Information Pollution by Social Bots
Xiaodan Lou, Alessandro Flammini, Filippo Menczer
http://arxiv.org/abs/1907.06130v1
• [cs.CY]The Elusive Model of Technology, Media, Social Development, and Financial Sustainability
Aaditeshwar Seth
http://arxiv.org/abs/1907.06360v1
• [cs.CY]Tracking sex: The implications of widespread sexual data leakage and tracking on porn websites
Elena Maris, Timothy Libert, Jennifer Henrichsen
http://arxiv.org/abs/1907.06520v1
• [cs.DB]Delivery, consistency, and determinism: rethinking guarantees in distributed stream processing
Artem Trofimov, Igor E. Kuralenok, Nikita Marshalkin, Boris Novikov
http://arxiv.org/abs/1907.06250v1
• [cs.DC]A Recursive Algebraic Coloring Technique for Hardware-Efficient Symmetric Sparse Matrix-Vector Multiplication
Christie L. Alappat, Georg Hager, Olaf Schenk, Jonas Thies, Achim Basermann, Alan R. Bishop, Holger Fehske, Gerhard Wellein
http://arxiv.org/abs/1907.06487v1
• [cs.DC]A Versatile Software Systolic Execution Model for GPU Memory-Bound Kernels
Peng Chen, Mohamed Wahib, Shinichiro Takizawa, Ryousei Takano, Satoshi Matsuoka
http://arxiv.org/abs/1907.06154v1
• [cs.DC]Distributed Black-Box Optimization via Error Correcting Codes
Burak Bartan, Mert Pilanci
http://arxiv.org/abs/1907.05984v1
• [cs.DC]Dogfooding: use IBM Cloud services to monitor IBM Cloud infrastructure
William Pourmajidi, Andriy Miranskyy, John Steinbacher, Tony Erwin, David Godwin
http://arxiv.org/abs/1907.06094v1
• [cs.DC]Efficient self-stabilizing leader election in population protocols
Janna Burman, David Doty, Thomas Nowak, Eric E. Severson, Chuan Xu
http://arxiv.org/abs/1907.06068v1
• [cs.DC]Posit NPB: Assessing the Precision Improvement in HPC Scientific Applications
Steven W. D. Chien, Ivy B. Peng, Stefano Markidis
http://arxiv.org/abs/1907.05917v1
• [cs.DC]Supporting Security Sensitive Tenants in a Bare-Metal Cloud
Amin Mosayyebzadeh, Apoorve Mohan, Sahil Tikale, Mania Abdi, Nabil Schear, Charles Munson, Trammell Hudson, Larry Rudolph, Gene Cooperman, Peter Desnoyers, Orran Krieger
http://arxiv.org/abs/1907.06110v1
• [cs.DS]Efficient average-case population recovery in the presence of insertions and deletions
Frank Ban, Xi Chen, Rocco A. Servedio, Sandip Sinha
http://arxiv.org/abs/1907.05964v1
• [cs.DS]Online-Learning for min-max discrete problems
Evripidis Bampis, Dimitris Christou, Bruno Escoffier, Nguyen Kim Thang
http://arxiv.org/abs/1907.05944v1
• [cs.DS]Seedless Graph Matching via Tail of Degree Distribution for Correlated Erdos-Renyi Graphs
Mahdi Bozorg, Saber Salehkaleybar, Matin Hashemi
http://arxiv.org/abs/1907.06334v1
• [cs.HC]Discourse Behavior of Older Adults Interacting With a Dialogue Agent Competent in Multiple Topics
S. Zahra Razavi, Lenhart K. Schubert, Kimberly A. Van Orden, Mohammad Rafayet Ali
http://arxiv.org/abs/1907.06279v1
• [cs.IR]A Novel User Representation Paradigm for Making Personalized Candidate Retrieval
Zheng Liu, Yu Xing, Jianxun Lian, Defu Lian, Ziyao Li, Xing Xie
http://arxiv.org/abs/1907.06323v1
• [cs.IR]A study on the Interpretability of Neural Retrieval Models using DeepSHAP
Zeon Trevor Fernando, Jaspreet Singh, Avishek Anand
http://arxiv.org/abs/1907.06484v1
• [cs.IR]Ranking sentences from product description & bullets for better search
Prateek Verma, Aliasgar Kutiyanawala, Ke Shen
http://arxiv.org/abs/1907.06330v1
• [cs.IR]Satellite System Graph: Towards the Efficiency Up-Boundary of Graph-Based Approximate Nearest Neighbor Search
Cong Fu, Changxu Wang, Deng Cai
http://arxiv.org/abs/1907.06146v1
• [cs.IR]Should we Embed? A Study on the Online Performance of Utilizing Embeddings for Real-Time Job Recommendations
Markus Reiter-Haas, Emanuel Lacic, Tomislav Duricic, Valentin Slawicek, Elisabeth Lex
http://arxiv.org/abs/1907.06556v1
• [cs.IR]To Model or to Intervene: A Comparison of Counterfactual and Online Learning to Rank from User Interactions
Rolf Jagerman, Harrie Oosterhuis, Maarten de Rijke
http://arxiv.org/abs/1907.06412v1
• [cs.IT]Combinatorial t-designs from quadratic functions
Can Xiang, Xin Ling, Qi Wang
http://arxiv.org/abs/1907.06235v1
• [cs.IT]Empirical Coordination Subject to a Fidelity Criterion
Michail Mylonakis, Photios A. Stavrou, Mikael Skoglund
http://arxiv.org/abs/1907.06445v1
• [cs.IT]Energy-Efficient Radio Resource Allocation for Federated Edge Learning
Qunsong Zeng, Yuqing Du, Kin K. Leung, Kaibin Huang
http://arxiv.org/abs/1907.06040v1
• [cs.IT]Entanglement-assisted Quantum Codes from Algebraic Geometry Codes
Francisco Revson F. Pereira, Ruud Pellikaan, Giuliano Gadioli La Guardia, Francisco Marcos de Assis
http://arxiv.org/abs/1907.06357v1
• [cs.IT]Hybrid Offline-Online Design for UAV-Enabled Data Harvesting in Probabilistic LoS Channel
Changsheng You, Rui Zhang
http://arxiv.org/abs/1907.06181v1
• [cs.IT]Lower Bound for RIP Constants and Concentration of Sum of Top Order Statistics
Gen Li, Xingyu Xu, Yuantao Gu
http://arxiv.org/abs/1907.06054v1
• [cs.IT]Multi-Hop Wireless Optical Backhauling for LiFi Attocell Networks: Bandwidth Scheduling and Power Control
Hossein Kazemi, Majid Safari, Harald Haas
http://arxiv.org/abs/1907.05967v1
• [cs.IT]On the Differential Linear Connectivity Table of Vectorial Boolean Functions
Kangquan Li, Chunlei Li, Chao Li, Longjiang Qu
http://arxiv.org/abs/1907.05986v1
• [cs.IT]On the Polarization of Rényi Entropy
Mengfan Zheng, Ling Liu, Cong Ling
http://arxiv.org/abs/1907.06423v1
• [cs.IT]Random Khatri-Rao-Product Codes for Numerically-Stable Distributed Matrix Multiplication
Adarsh M. Subramaniam, Anoosheh Heidarzadeh, Krishna R. Narayanan
http://arxiv.org/abs/1907.05965v1
• [cs.IT]Reliability-Latency Performance of Frameless ALOHA with and without Feedback
Francisco Lázaro, Čedomir Stefanović, Petar Popovski
http://arxiv.org/abs/1907.06383v1
• [cs.IT]Single-Component Privacy Guarantees in Helper Data Systems and Sparse Coding
Behrooz Razeghi, Taras Stanko, Boris Škorić, Slava Voloshynovskiy
http://arxiv.org/abs/1907.06388v1
• [cs.IT]Skew Generalized Cyclic Code over $ R[x_1;σ_1,δ_1][x2;σ_2,δ_2]$
_Shikha Patel, Om Prakash
http://arxiv.org/abs/1907.06086v1
• [cs.IT]The Age of Incorrect Information: A New Performance Metric for Status Updates
Ali Maatouk, Saad Kriouile, Mohamad Assaad, Anthony Ephremides
http://arxiv.org/abs/1907.06604v1
• [cs.LG]A Divide-and-Conquer Approach towards Understanding Deep Networks
Weilin Fu, Katharina Breininger, Roman Schaffert, Nishant Ravikumar, Andreas Maier
http://arxiv.org/abs/1907.06194v1
• [cs.LG]A Dual Memory Structure for Efficient Use of Replay Memory in Deep Reinforcement Learning
Wonshick Ko, Dong Eui Chang
http://arxiv.org/abs/1907.06396v1
• [cs.LG]A Study and Analysis of a Feature Subset Selection Technique using Penguin Search Optimization Algorithm (FS-PeSOA)
Agnip Dasgupta, Ardhendu Banerjee, Aniket Ghosh Dastidar, Antara Barman, Sanjay Chakraborty
http://arxiv.org/abs/1907.05943v1
• [cs.LG]Agglomerative Attention
Matthew Spellings
http://arxiv.org/abs/1907.06607v1
• [cs.LG]Aggregate-Eliminate-Predict: Detecting Adverse Drug Events from Heterogeneous Electronic Health Records
Maria Bampa, Panagiotis Papapetrou
http://arxiv.org/abs/1907.06058v1
• [cs.LG]Automated Real-time Anomaly Detection in Human Trajectories using Sequence to Sequence Networks
Giorgos Bouritsas, Stelios Daveas, Antonios Danelakis, Constantinos Rizogiannis, Stelios C. A. Thomopoulos
http://arxiv.org/abs/1907.05813v2
• [cs.LG]Batch-Shaped Channel Gated Networks
Babak Ehteshami Bejnordi, Tijmen Blankevoort, Max Welling
http://arxiv.org/abs/1907.06627v1
• [cs.LG]Bringing Giant Neural Networks Down to Earth with Unlabeled Data
Yehui Tang, Shan You, Chang Xu, Boxin Shi, Chao Xu
http://arxiv.org/abs/1907.06065v1
• [cs.LG]Compressed Subspace Learning Based on Canonical Angle Preserving Property
Yuchen Jiao, Gen Li, Yuantao Gu
http://arxiv.org/abs/1907.06166v1
• [cs.LG]Concept-Centric Visual Turing Tests for Method Validation
Tatiana Fountoukidou, Raphael Sznitman
http://arxiv.org/abs/1907.06414v1
• [cs.LG]Counterfactual Reasoning for Fair Clinical Risk Prediction
Stephen Pfohl, Tony Duan, Daisy Yi Ding, Nigam H. Shah
http://arxiv.org/abs/1907.06260v1
• [cs.LG]Differentiable Bayesian Neural Network Inference for Data Streams
Namuk Park, Taekyu Lee, Songkuk Kim
http://arxiv.org/abs/1907.05911v1
• [cs.LG]Discriminative Active Learning
Daniel Gissin, Shai Shalev-Shwartz
http://arxiv.org/abs/1907.06347v1
• [cs.LG]Dynamical Systems as Temporal Feature Spaces
Peter Tino
http://arxiv.org/abs/1907.06382v1
• [cs.LG]Exploring Deep Anomaly Detection Methods Based on Capsule Net
Xiaoyan Li, Iluju Kiringa, Tet Yeap, Xiaodan Zhu, Yifeng Li
http://arxiv.org/abs/1907.06312v1
• [cs.LG]Feature space transformations and model selection to improve the performance of classifiers
Jose Ortiz-Bejar, Eric S. Tellez, Mario Graff
http://arxiv.org/abs/1907.06258v1
• [cs.LG]Federated Reinforcement Distillation with Proxy Experience Memory
Han Cha, Jihong Park, Hyesung Kim, Seong-Lyun Kim, Mehdi Bennis
http://arxiv.org/abs/1907.06536v1
• [cs.LG]Finite-Time Performance Bounds and Adaptive Learning Rate Selection for Two Time-Scale Reinforcement Learning
Harsh Gupta, R. Srikant, Lei Ying
http://arxiv.org/abs/1907.06290v1
• [cs.LG]Learning Neural Networks with Adaptive Regularization
Han Zhao, Yao-Hung Hubert Tsai, Ruslan Salakhutdinov, Geoffrey J. Gordon
http://arxiv.org/abs/1907.06288v1
• [cs.LG]MIPaaL: Mixed Integer Program as a Layer
Aaron Ferber, Bryan Wilder, Bistra Dilina, Milind Tambe
http://arxiv.org/abs/1907.05912v1
• [cs.LG]Measuring the Transferability of Adversarial Examples
Deyan Petrov, Timothy M. Hospedales
http://arxiv.org/abs/1907.06291v1
• [cs.LG]Medical Concept Representation Learning from Claims Data and Application to Health Plan Payment Risk Adjustment
Qiu-Yue Zhong, Andrew H. Fairless, Jasmine M. McCammon, Farbod Rahmanian
http://arxiv.org/abs/1907.06600v1
• [cs.LG]Minimal Sample Subspace Learning: Theory and Algorithms
Zhenyue Zhang, Yuqing Xia
http://arxiv.org/abs/1907.06032v1
• [cs.LG]Modeling the Uncertainty in Electronic Health Records: a Bayesian Deep Learning Approach
Riyi Qiu, Yugang Jia, Mirsad Hadzikadic, Michael Dulin, Xi Niu, Xin Wang
http://arxiv.org/abs/1907.06162v1
• [cs.LG]More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning
Xinyang Yi, Zhaoran Wang, Zhuoran Yang, Constantine Caramanis, Han Liu
http://arxiv.org/abs/1907.06257v1
• [cs.LG]Motorway Traffic Flow Prediction using Advanced Deep Learning
Adriana-Simona Mihaita, Haowen Li, Zongyang He, Marian-Andrei Rizoiu
http://arxiv.org/abs/1907.06356v1
• [cs.LG]Multi-Element Long Distance Dependencies: Using SPk Languages to Explore the Characteristics of Long-Distance Dependencies
Abhijit Mahalunkar, John D. Kelleher
http://arxiv.org/abs/1907.06048v1
• [cs.LG]Multi-hop Federated Private Data Augmentation with Sample Compression
Eunjeong Jeong, Seungeun Oh, Jihong Park, Hyesung Kim, Mehdi Bennis, Seong-Lyun Kim
http://arxiv.org/abs/1907.06426v1
• [cs.LG]Multiscale Principle of Relevant Information for Hyperspectral Image Classification
Yantao Wei, Shujian Yu, Jose C. Principe
http://arxiv.org/abs/1907.06022v1
• [cs.LG]Myers-Briggs Personality Classification and Personality-Specific Language Generation Using Pre-trained Language Models
Sedrick Scott Keh, I-Tsun Cheng
http://arxiv.org/abs/1907.06333v1
• [cs.LG]Neural Embedding for Physical Manipulations
Lingzhi Zhang, Andong Cao, Rui Li, Jianbo Shi
http://arxiv.org/abs/1907.06143v1
• [cs.LG]On the Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost
Zhuoran Yang, Yongxin Chen, Mingyi Hong, Zhaoran Wang
http://arxiv.org/abs/1907.06246v1
• [cs.LG]On the Role of Time in Learning
Alessandro Betti, Marco Gori
http://arxiv.org/abs/1907.06198v1
• [cs.LG]Parameterized Exploration
Jesse Clifton, Lili Wu, Eric Laber
http://arxiv.org/abs/1907.06090v1
• [cs.LG]Preselection Bandits under the Plackett-Luce Model
Viktor Bengs, Eyke Hüllermeier
http://arxiv.org/abs/1907.06123v1
• [cs.LG]Proximal Policy Optimization with Mixed Distributed Training
Zhenyu Zhang, Xiangfeng Luo, Shaorong Xie, Jianshu Wang, Wei Wang, Yang Li
http://arxiv.org/abs/1907.06479v1
• [cs.LG]Revealing posturographic features associated with the risk of falling in patients with Parkinsonian syndromes via machine learning
Ioannis Bargiotas, Argyris Kalogeratos, Myrto Limnios, Pierre-Paul Vidal, Damien Ricard, Nicolas Vayatis
http://arxiv.org/abs/1907.06614v1
• [cs.LG]Robust Nonlinear Component Estimation with Tikhonov Regularization
Reuben Feinman, Nikhil Parthasarathy
http://arxiv.org/abs/1907.06496v1
• [cs.LG]Sequential online prediction in the presence of outliers and change points: an instant temporal structure learning approach
Bin Liu, Yu Qi, Ke-Jia Chen
http://arxiv.org/abs/1907.06377v1
• [cs.LG]Stochastic Convergence Results for Regularized Actor-Critic Methods
Wesley Suttle, Zhuoran Yang, Kaiqing Zhang, Ji Liu
http://arxiv.org/abs/1907.06138v1
• [cs.LG]Task Selection Policies for Multitask Learning
John Glover, Chris Hokamp
http://arxiv.org/abs/1907.06214v1
• [cs.LG]The FAST Algorithm for Submodular Maximization
Adam Breuer, Eric Balkanski, Yaron Singer
http://arxiv.org/abs/1907.06173v1
• [cs.LG]The Futility of Bias-Free Learning and Search
George D. Montanez, Jonathan Hayase, Julius Lauw, Dominique Macias, Akshay Trikha, Julia Vendemiatti
http://arxiv.org/abs/1907.06010v1
• [cs.LG]What does it mean to understand a neural network?
Timothy P. Lillicrap, Konrad P. Kording
http://arxiv.org/abs/1907.06374v1
• [cs.NE]An Evolutionary Algorithm of Linear complexity: Application to Training of Deep Neural Networks
S. Ivvan Valdez, Alfonso Rojas-Domínguez
http://arxiv.org/abs/1907.05951v1
• [cs.NE]Controlling Model Complexity in Probabilistic Model-Based Dynamic Optimization of Neural Network Structures
Shota Saito, Shinichi Shirakawa
http://arxiv.org/abs/1907.06341v1
• [cs.NE]Evolvability ES: Scalable and Direct Optimization of Evolvability
Alexander Gajewski, Jeff Clune, Kenneth O. Stanley, Joel Lehman
http://arxiv.org/abs/1907.06077v1
• [cs.NE]Reinforcement Learning with Chromatic Networks
Xingyou Song, Krzysztof Choromanski, Jack Parker-Holder, Yunhao Tang, Wenbo Gao, Aldo Pacchiano, Tamas Sarlos, Deepali Jain, Yuxiang Yang
http://arxiv.org/abs/1907.06511v1
• [cs.PL]Bayesian Synthesis of Probabilistic Programs for Automatic Data Modeling
Feras A. Saad, Marco F. Cusumano-Towner, Ulrich Schaechtle, Martin C. Rinard, Vikash K. Mansinghka
http://arxiv.org/abs/1907.06249v1
• [cs.RO]Coverage Sampling Planner for UAV-enabled Environmental Exploration and Field Mapping
Teng Li, Chaoqun Wang, Max Q. -H. Meng, Clarence W. de Silva
http://arxiv.org/abs/1907.05910v1
• [cs.RO]Energy-efficient Path Planning for Ground Robots by Combining Air and Ground Measurements
Minghan Wei, Volkan Isler
http://arxiv.org/abs/1907.06337v1
• [cs.RO]Forward and Inverse Kinematics of a Single Section Inextensible Continuum Arm
Ali A. Nazari, Diego Castro, Isuru S. Godage
http://arxiv.org/abs/1907.06518v1
• [cs.RO]Learning better generative models for dexterous, single-view grasping of novel objects
Marek Kopicki, Dominik Belter, Jeremy L. Wyatt
http://arxiv.org/abs/1907.06053v1
• [cs.RO]Motion Planning Networks: Bridging the Gap Between Learning-based and Classical Motion Planners
Ahmed H. Qureshi, Yinglong Miao, Anthony Simeonov, Michael C. Yip
http://arxiv.org/abs/1907.06013v1
• [cs.RO]NH-TTC: A gradient-based framework for generalized anticipatory collision avoidance
Bobby Davis, Ioannis Karamouzas, Stephen J. Guy
http://arxiv.org/abs/1907.05945v1
• [cs.RO]Vid2Param: Online system identification from video for robotics applications
Martin Asenov, Michael Burke, Daniel Angelov, Todor Davchev, Kartic Subr, Subramanian Ramamoorthy
http://arxiv.org/abs/1907.06422v1
• [cs.SD]Learning Complex Basis Functions for Invariant Representations of Audio
Stefan Lattner, Monika Dörfler, Andreas Arzt
http://arxiv.org/abs/1907.05982v1
• [cs.SD]Towards Robust Voice Pathology Detection
Pavol Harar, Zoltan Galaz, Jesus B. Alonso-Hernandez, Jiri Mekyska, Radim Burget, Zdenek Smekal
http://arxiv.org/abs/1907.06129v1
• [cs.SE]Automatic Repair and Type Binding of Undeclared Variables using Neural Networks
Venkatesh Theru Mohan, Ali Jannesari
http://arxiv.org/abs/1907.06205v1
• [cs.SE]Patterns of Effort Contribution and Demand and User Classification based on Participation Patterns in NPM Ecosystem
Tapajit Dey, Yuxing Ma, Audris Mockus
http://arxiv.org/abs/1907.06538v1
• [cs.SE]Predicting Merge Conflicts in Collaborative Software Development
Moein Owhadi-Kareshk, Sarah Nadi, Julia Rubin
http://arxiv.org/abs/1907.06274v1
• [cs.SE]Towards Generation of Visual Attention Map for Source Code
Takeshi D. Itoh, Takatomi Kubo, Kiyoka Ikeda, Yuki Maruno, Yoshiharu Ikutani, Hideaki Hata, Kenichi Matsumoto, Kazushi Ikeda
http://arxiv.org/abs/1907.06182v1
• [cs.SI]Changing Views: Persuasion Modeling and Argument Extraction from Online Discussions
Subhabrata Dutta, Dipankar Das, Tanmoy Chakraborty
http://arxiv.org/abs/1907.06076v1
• [cs.SI]Democratic summary of public opinions in free-response surveys
Tatsuro Kawamoto, Takaaki Aoki
http://arxiv.org/abs/1907.04359v2
• [econ.EM]A Simple Uniformly Valid Test for Inequalities
Gregory Cox, Xiaoxia Shi
http://arxiv.org/abs/1907.06317v1
• [econ.EM]Audits as Evidence: Experiments, Ensembles, and Enforcement
Patrick Kline, Christopher Walters
http://arxiv.org/abs/1907.06622v1
• [econ.GN]Online Rental Housing Market Representation and the Digital Reproduction of Urban Inequality
Geoff Boeing
http://arxiv.org/abs/1907.06118v1
• [econ.TH]Necessary and sufficient condition for equilibrium of the Hotelling model
Satoshi Hayashi, Naoki Tsuge
http://arxiv.org/abs/1907.06200v1
• [eess.AS]BUT VOiCES 2019 System Description
Hossein Zeinali, Pavel Matějka, Ladislav Mošner, Oldřich Plchot, Anna Silnova, Ondřej Novotný, Ján Profant, Ondřej Glembek, Lukáš Burget
http://arxiv.org/abs/1907.06112v1
• [eess.AS]Learn Spelling from Teachers: Transferring Knowledge from Language Models to Sequence-to-Sequence Speech Recognition
Ye Bai, Jiangyan Yi, Jianhua Tao, Zhengkun Tian, Zhengqi Wen
http://arxiv.org/abs/1907.06017v1
• [eess.AS]Speaker Recognition with Random Digit Strings Using Uncertainty Normalized HMM-based i-vectors
Nooshin Maghsoodi, Hossein Sameti, Hossein Zeinali, Themos~Stafylakis
http://arxiv.org/abs/1907.06111v1
• [eess.AS]Voice Pathology Detection Using Deep Learning: a Preliminary Study
Pavol Harar, Jesus B. Alonso-Hernandez, Jiri Mekyska, Zoltan Galaz, Radim Burget, Zdenek Smekal
http://arxiv.org/abs/1907.05905v1
• [eess.IV]Deep Sequential Mosaicking of Fetoscopic Videos
Sophia Bano, Francisco Vasconcelos, Marcel Tella Amo, George Dwyer, Caspar Gruijthuijsen, Jan Deprest, Sebastien Ourselin, Emmanuel Vander Poorten, Tom Vercauteren, Danail Stoyanov
http://arxiv.org/abs/1907.06543v1
• [eess.IV]DeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images
Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli
http://arxiv.org/abs/1907.06490v1
• [eess.IV]Enabling Multi-Shell b-Value Generalizability of Data-Driven Diffusion Models with Deep SHORE
Vishwesh Nath, Ilwoo Lyu, Kurt G. Schilling, Prasanna Parvathaneni, Colin B. Hansen, Yucheng Tang, Yuankai Huo, Vaibhav A. Janve, Yurui Gao, Iwona Stepniewska, Adam W. Anderson, Bennett A. Landman
http://arxiv.org/abs/1907.06319v1
• [eess.IV]Image Evolution Trajectory Prediction and Classification from Baseline using Learning-based Patch Atlas Selection for Early Diagnosis
Can Gafuroglu, Islem Rekik
http://arxiv.org/abs/1907.06064v1
• [eess.IV]Improved Hybrid Layered Image Compression using Deep Learning and Traditional Codecs
Haisheng Fu, Feng Liang, Bo Lei, Nai Bian, Qian zhang, Mohammad Akbari, Jie Liang, Chengjie Tu
http://arxiv.org/abs/1907.06566v1
• [eess.IV]Multi-scale Graph-based Grading for Alzheimer’s Disease Prediction
Kilian Hett, Vinh-Thong Ta, José V. Manjón, Pierrick Coupé
http://arxiv.org/abs/1907.06625v1
• [eess.IV]S&CNet: A Enhanced Coarse-to-fine Framework For Monocular Depth Completion
Lei Zhang, Weihai Chen, Chao Hu
http://arxiv.org/abs/1907.06071v1
• [eess.SP]Energy-Efficient Activation and Uplink Transmission for Cellular IoT
Chun-Hung Liu, Yu-Han Shen, Chia-Han Lee
http://arxiv.org/abs/1907.06158v1
• [eess.SP]Intelligent Reflecting Surface: Practical Phase Shift Model and Beamforming Optimization
Samith Abeywickrama, Rui Zhang, Chau Yuen
http://arxiv.org/abs/1907.06002v1
• [eess.SP]Low PAPR Reference Signal Transceiver Design for 3GPP 5G NR Uplink
M. Sibgath Ali Khan, Sai Dhiraj Amuru, Kiran Kuchi
http://arxiv.org/abs/1907.05692v1
• [eess.SP]On Discrete-Time/Frequency-Periodic End-to-End Fiber-Optical Channel Models
Felix Frey, Johannes K. Fischer, Robert F. H. Fischer
http://arxiv.org/abs/1907.06087v1
• [eess.SY]ALFA: A Dataset for UAV Fault and Anomaly Detection
Azarakhsh Keipour, Mohammadreza Mousaei, Sebastian Scherer
http://arxiv.org/abs/1907.06268v1
• [eess.SY]Hybrid Model-Based and Data-Driven Wind Velocity Estimator for the Navigation System of a Robotic Airship
Apolo Silva Marton, André Ricardo Fioravanti, José Raul Azinheira, Ely Carneiro de Paiva
http://arxiv.org/abs/1907.06266v1
• [eess.SY]Seeker based Adaptive Guidance via Reinforcement Meta-Learning Applied to Asteroid Close Proximity Operations
Brian Gaudet, Richard Linares, Roberto Furfaro
http://arxiv.org/abs/1907.06098v1
• [math.CO]Linear programming bounds for cliques in Paley graphs
Mark Magsino, Dustin G. Mixon, Hans Parshall
http://arxiv.org/abs/1907.05971v1
• [math.OC]Convergence Analysis of Machine Learning Algorithms for the Numerical Solution of Mean Field Control and Games: I — The Ergodic Case
René Carmona, Mathieu Laurière
http://arxiv.org/abs/1907.05980v1
• [math.ST]A new approach to Poissonian two-armed bandit problem
Alexander Kolnogorov
http://arxiv.org/abs/1907.06074v1
• [math.ST]Fisher-Rao Geometry and Jeffreys Prior for Pareto Distribution
Mingming Li, Huafei Sun, Linyu Peng
http://arxiv.org/abs/1907.06006v1
• [math.ST]Pointwise adaptive kernel density estimation under local approximate differential privacy
Martin Kroll
http://arxiv.org/abs/1907.06233v1
• [math.ST]Probability inequalities for high dimensional time series under a triangular array framework
Fang Han, Weibiao Wu
http://arxiv.org/abs/1907.06577v1
• [math.ST]Shadow Simulated Annealing algorithm: a new tool for global optimisation and statistical inference
R. Stoica, Madalina Deaconu, Anne Philippe, Lluis Hurtado
http://arxiv.org/abs/1907.06455v1
• [physics.comp-ph]Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning
Peter Y. Lu, Samuel Kim, Marin Soljačić
http://arxiv.org/abs/1907.06011v1
• [physics.data-an]A machine learning framework for computationally expensive transient models
Prashant Kumar, Kushal Sinha, Nandkishor Nere, Yujin Shin, Raimundo Ho, Ahmad Sheikh, Laurie Mlinar
http://arxiv.org/abs/1907.05928v1
• [physics.soc-ph]Langevin method for a continuous stochastic car-following model and its stability conditions
D. Ngoduy, S. Lee, M. Treiber, M. Keyvan-Ekbatani, H. L. Vu
http://arxiv.org/abs/1907.06148v1
• [physics.soc-ph]Micro, Meso, Macro: the effect of triangles on communities in networks
Sophie Wharrie, Lamiae Azizi, Eduardo G. Altmann
http://arxiv.org/abs/1907.06361v1
• [q-bio.NC]Autoencoding sensory substitution
Viktor Tóth, Lauri Parkkonen
http://arxiv.org/abs/1907.06286v1
• [quant-ph]Experimental machine learning quantum homodyne tomography
E. S. Tiunov, V. V. Vyborova, A. E. Ulanov, A. I. Lvovsky, A. K. Fedorov
http://arxiv.org/abs/1907.06589v1
• [quant-ph]Resource theory of asymmetric distinguishability for quantum channels
Xin Wang, Mark M. Wilde
http://arxiv.org/abs/1907.06306v1
• [stat.AP]Markov-switching State Space Models for Uncovering Musical Interpretation
Daniel J. McDonald, Michael McBride, Yupeng Gu, Christopher Raphael
http://arxiv.org/abs/1907.06244v1
• [stat.AP]On the Evolution of U.S. Temperature Dynamics
Francis X. Diebold, Glenn D. Rudebusch
http://arxiv.org/abs/1907.06303v1
• [stat.CO]Markov chain Monte Carlo algorithms with sequential proposals
Joonha Park, Yves F. Atchadé
http://arxiv.org/abs/1907.06544v1
• [stat.ME]An Assumption-Free Exact Test For Fixed-Design Linear Models With Exchangeable Errors
Lihua Lei, Peter J. Bickel
http://arxiv.org/abs/1907.06133v1
• [stat.ME]An efficient estimator of the parameters of the Generalized Lambda Distribution
Dilanka S. Dedduwakumara, Luke A. Prendergast, Robert G. Staudte
http://arxiv.org/abs/1907.06336v1
• [stat.ME]Bayesian Wavelet Shrinkage with Beta Priors
Alex Rodrigo dos Santos Sousa, Nancy Lopes Garcia, Branislav Vidakovic
http://arxiv.org/abs/1907.06606v1
• [stat.ME]Estimating densities with nonlinear support using Fisher-Gaussian kernels
Minerva Mukhopadhyay, Didong Li, David B Dunson
http://arxiv.org/abs/1907.05918v1
• [stat.ME]Fast Algorithms and Theory for High-Dimensional Bayesian Varying Coefficient Models
Ray Bai, Mary R. Boland, Yong Chen
http://arxiv.org/abs/1907.06477v1
• [stat.ME]Inference for high-dimensional linear mixed-effects models: A quasi-likelihood approach
Sai Li, Tony T. Cai, Hongzhe Li
http://arxiv.org/abs/1907.06116v1
• [stat.ME]Leveraging Auxiliary Information on Marginal Distributions in Nonignorable Models for Item and Unit Nonresponse
Olanrewaju Akande, Gabriel Madson, D. Sunshine Hillygus, Jerome P. Reiter
http://arxiv.org/abs/1907.06145v1
• [stat.ME]Multilevel models for continuous outcomes
George Leckie
http://arxiv.org/abs/1907.05941v1
• [stat.ME]Posterior Predictive Treatment Assignment Methods for Causal Inference in the Context of Time-Varying Treatments
Shirley Liao, Lucas Henneman, Corwin Zigler
http://arxiv.org/abs/1907.06567v1
• [stat.ME]Predicting phenotypes from microarrays using amplified, initially marginal, eigenvector regression
Lei Ding, Daniel J. McDonald
http://arxiv.org/abs/1907.05927v1
• [stat.ME]The Elicitation of Prior Distributions for Bayesian Responsive Survey Design: Historical Data Analysis vs. Literature Review
Brady T. West, James Wagner, Stephanie Coffey, Michael R. Elliott
http://arxiv.org/abs/1907.06560v1
• [stat.ML]A Causal Bayesian Networks Viewpoint on Fairness
Silvia Chiappa, William S. Isaac
http://arxiv.org/abs/1907.06430v1
• [stat.ML]A Dimension-free Algorithm for Contextual Continuum-armed Bandits
Wenhao Li, Ningyuan Chen, L. Jeff Hong
http://arxiv.org/abs/1907.06550v1
• [stat.ML]Addressing Delayed Feedback for Continuous Training with Neural Networks in CTR prediction
Sofia Ira Ktena, Alykhan Tejani, Lucas Theis, Pranay Kumar Myana, Deepak Dilipkumar, Ferenc Huszar, Steven Yoo, Wenzhe Shi
http://arxiv.org/abs/1907.06558v1
• [stat.ML]The Use of Gaussian Processes in System Identification
Simo Särkkä
http://arxiv.org/abs/1907.06066v1
• [stat.ML]Unsupervised Fault Detection in Varying Operating Conditions
Gabriel Michau, Olga Fink
http://arxiv.org/abs/1907.06481v1
• [stat.ML]k-hop Graph Neural Networks
Giannis Nikolentzos, George Dasoulas, Michalis Vazirgiannis
http://arxiv.org/abs/1907.06051v1
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