astro-ph.CO - 宇宙学和天体物理学
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.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.DS - 数据结构与算法 cs.GR - 计算机图形学 cs.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 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.GN - 一般经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 hep-lat - 高能物理晶格 math.DS - 动力系统 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.comp-ph - 计算物理学 q-bio.GN - 基因组学 q-bio.NC - 神经元与认知 q-fin.CP -计算金融学 q-fin.RM - 风险管理 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.CO]HIGAN: Cosmic Neutral Hydrogen with Generative Adversarial Networks
• [cs.AI]A Complete Classification of the Complexity and Rewritability of Ontology-Mediated Queries based on the Description Logic EL
• [cs.AI]Enhancement of Power Equipment Management Using Knowledge Graph
• [cs.AI]Fuzzy Rule Interpolation Methods and Fri Toolbox
• [cs.AI]Graph Neural Reasoning for 2-Quantified Boolean Formula Solvers
• [cs.AI]Soft Marginal TransE for Scholarly Knowledge Graph Completion
• [cs.CG]Automatic Support Removal for Additive Manufacturing Post Processing
• [cs.CL]Experiments in Cuneiform Language Identification
• [cs.CL]HELP: A Dataset for Identifying Shortcomings of Neural Models in Monotonicity Reasoning
• [cs.CL]Logician: A Unified End-to-End Neural Approach for Open-Domain Information Extraction
• [cs.CL]OPIEC: An Open Information Extraction Corpus
• [cs.CL]Semantic Matching of Documents from Heterogeneous Collections: A Simple and Transparent Method for Practical Applications
• [cs.CL]Several Experiments on Investigating Pretraining and Knowledge-Enhanced Models for Natural Language Inference
• [cs.CL]Towards Recognizing Phrase Translation Processes: Experiments on English-French
• [cs.CL]Understanding Dataset Design Choices for Multi-hop Reasoning
• [cs.CR]Authenticated Key-Value Stores with Hardware Enclaves
• [cs.CR]Better Accuracy and Efficiency for Fuzzy Search on Encrypted Data
• [cs.CR]Blockchain: Emerging Applications and Use Cases
• [cs.CR]Exploring Information Centrality for Intrusion Detection in Large Networks
• [cs.CV]3D Dynamic Point Cloud Denoising via Spatio-temporal Graph Modeling
• [cs.CV]3D-SIC: 3D Semantic Instance Completion for RGB-D Scans
• [cs.CV]A New Method for Atlanta World Frame Estimation
• [cs.CV]A Novel Dual-Lidar Calibration Algorithm Using Planar Surfaces
• [cs.CV]A dual branch deep neural network for classification and detection in mammograms
• [cs.CV]ARCHANGEL: Tamper-proofing Video Archives using Temporal Content Hashes on the Blockchain
• [cs.CV]Accelerating Proposal Generation Network for \Fast Face Detection on Mobile Devices
• [cs.CV]An approach to image denoising using manifold approximation without clean images
• [cs.CV]Attribute Guided Unpaired Image-to-Image Translation with Semi-supervised Learning
• [cs.CV]Automatic extrinsic calibration between a camera and a 3D Lidar using 3D point and plane correspondences
• [cs.CV]Capturing human categorization of natural images at scale by combining deep networks and cognitive models
• [cs.CV]Casting Geometric Constraints in Semantic Segmentation as Semi-Supervised Learning
• [cs.CV]Classification and Detection in Mammograms with Weak Supervision via Dual Branch Deep Neural Net
• [cs.CV]Collage Inference: Tolerating Stragglers in Distributed Neural Network Inference using Coding
• [cs.CV]DeLiO: Decoupled LiDAR Odometry
• [cs.CV]DeepHMap++: Combined Projection Grouping and Correspondence Learning for Full DoF Pose Estimation
• [cs.CV]Deferred Neural Rendering: Image Synthesis using Neural Textures
• [cs.CV]Domain Agnostic Learning with Disentangled Representations
• [cs.CV]End-to-end Cloud Segmentation in High-Resolution Multispectral Satellite Imagery Using Deep Learning
• [cs.CV]Fast Infant MRI Skullstripping with Multiview 2D Convolutional Neural Networks
• [cs.CV]HOG feature extraction from encrypted images for privacy-preserving machine learning
• [cs.CV]Hierarchical Recurrent Neural Network for Video Summarization
• [cs.CV]Human-Centered Emotion Recognition in Animated GIFs
• [cs.CV]Improved Conditional VRNNs for Video Prediction
• [cs.CV]IsMo-GAN: Adversarial Learning for Monocular Non-Rigid 3D Reconstruction
• [cs.CV]LeGR: Filter Pruning via Learned Global Ranking
• [cs.CV]Learning to Fuse Local Geometric Features for 3D Rigid Data Matching
• [cs.CV]Meta Anti-spoofing: Learning to Learn in Face Anti-spoofing
• [cs.CV]Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks
• [cs.CV]Progressive Differentiable Architecture Search: Bridging the Depth Gap between Search and Evaluation
• [cs.CV]RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion
• [cs.CV]Recurrent Embedding Aggregation Network for Video Face Recognition
• [cs.CV]Relevant features for Gender Classification in NIR Periocular Images
• [cs.CV]Robust subspace clustering by Cauchy loss function
• [cs.CV]Self-Attention Capsule Networks for Image Classification
• [cs.CV]Solo or Ensemble? Choosing a CNN Architecture for Melanoma Classification
• [cs.CV]Spatio-Temporal Filter Adaptive Network for Video Deblurring
• [cs.CV]Style Transfer by Relaxed Optimal Transport and Self-Similarity
• [cs.CV]Synthetic Data Generation and Adaption for Object Detection in Smart Vending Machines
• [cs.CV]Translate-to-Recognize Networks for RGB-D Scene Recognition
• [cs.CV]Unsupervised Feature Learning for Point Cloud by Contrasting and Clustering With Graph Convolutional Neural Network
• [cs.CV]Unsupervised and Unregistered Hyperspectral Image Super-Resolution with Mutual Dirichlet-Net
• [cs.CV]Weighted Dark Channel Dehazing
• [cs.CV]X-Ray Image Compression Using Convolutional Recurrent Neural Networks
• [cs.CY]Teaching AI, Ethics, Law and Policy
• [cs.DC]A Practical Analysis of Rust’s Concurrency Story
• [cs.DC]Accurate MapReduce Algorithms for $k$-median and $k$-means in General Metric Spaces
• [cs.DC]Reinforcement Learning Based Orchestration for Elastic Services
• [cs.DC]Winner-Take-All Computation in Spiking Neural Networks
• [cs.DL]Venue Analytics: A Simple Alternative to Citation-Based Metrics
• [cs.DS]Pushing Lines Helps: Efficient Universal Centralised Transformations for Programmable Matter
• [cs.GR]TileGAN: Synthesis of Large-Scale Non-Homogeneous Textures
• [cs.GT]Competitive Statistical Estimation with Strategic Data Sources
• [cs.HC]E-Gotsky: Sequencing Content using the Zone of Proximal Development
• [cs.HC]TheFragebogen: A Web Browser-based Questionnaire Framework for Scientific Research
• [cs.HC]Vector Autoregressive POMDP Model Learning and Planning for Human-Robot Collaboration
• [cs.IR]Hierarchical Context enabled Recurrent Neural Network for Recommendation
• [cs.IR]Inductive Graph Pattern Learning for Recommender Systems Based on a Graph Neural Network
• [cs.IR]On the Effect of Low-Frequency Terms on Neural-IR Models
• [cs.IR]Relational Collaborative Filtering:Modeling Multiple Item Relations for Recommendation
• [cs.IT]A Cross-Layer Approach to Data-aided Sensing using Compressive Random Access
• [cs.IT]A Simple Derivation of the Refined SPB for the Constant Composition Codes
• [cs.IT]A short note on Goppa codes over Elementary Abelian $p$-Extensions of $\mathbb{F}_{p^s}(x)$
• [cs.IT]Achieving Max-Min Throughput in LoRa Networks
• [cs.IT]Analysis of reaction and timing attacks against cryptosystems based on sparse parity-check codes
• [cs.IT]Asymptotic Analysis of RZF over Double Scattering Channels with MMSE Estimation
• [cs.IT]Decision Procedure for the Existence of Two-Channel Prefix-Free Codes
• [cs.IT]Experimental Demonstration of Data Transmission Based on the Exact Inverse Periodic Nonlinear Fourier Transform
• [cs.IT]Learning-based Rate Adaptation for Uplink Massive MIMO Networks with Cooperative Data-Assisted Detection
• [cs.IT]MISO Wireless Communication Systems via Intelligent Reflecting Surfaces
• [cs.IT]Machine Learning in the Air
• [cs.IT]New Quantum Generalized Reed-Solomn Codes over Finite Fields
• [cs.IT]Optimal Task Assignment and Power Allocation for NOMA Mobile-Edge Computing Networks
• [cs.IT]Over-the-Air Computation via Intelligent Reflecting Surfaces
• [cs.IT]Partially Ordered Statistics Demapping for Multi-Dimensional Modulation Formats
• [cs.IT]Security of Covert Quantum Key Distribution under a Class of Coherent Attacks
• [cs.IT]Simultaneous Phase Retrieval and Blind Deconvolution via Convex Programming
• [cs.IT]The Optimal Power Control Policy for an Energy Harvesting System with Look-Ahead: Bernoulli Energy Arrivals
• [cs.IT]Wireless Network Reliability Analysis for Arbitrary Network Topologies
• [cs.LG]A Review of Modularization Techniques in Artificial Neural Networks
• [cs.LG]A convolution recurrent autoencoder for spatio-temporal missing data imputation
• [cs.LG]Adversarial Invariant Feature Learning with Accuracy Constraint for Domain Generalization
• [cs.LG]Adversarial Speaker Adaptation
• [cs.LG]Adversarial Training for Free!
• [cs.LG]Analysis of Confident-Classifiers for Out-of-distribution Detection
• [cs.LG]Application of Autoencoder-Assisted Recurrent Neural Networks to Prevent Cases of Sudden Infant Death Syndrome
• [cs.LG]Arbitrage of Energy Storage in Electricity Markets with Deep Reinforcement Learning
• [cs.LG]Asymmetric Impurity Functions, Class Weighting, and Optimal Splits for Binary Classification Trees
• [cs.LG]Attentive Adversarial Learning for Domain-Invariant Training
• [cs.LG]Challenges and Pitfalls of Reproducing Machine Learning Artifacts
• [cs.LG]Conditional Teacher-Student Learning
• [cs.LG]ConvTimeNet: A Pre-trained Deep Convolutional Neural Network for Time Series Classification
• [cs.LG]DAC: The Double Actor-Critic Architecture for Learning Options
• [cs.LG]Deep pNML: Predictive Normalized Maximum Likelihood for Deep Neural Networks
• [cs.LG]Dynamic Learning with Frequent New Product Launches: A Sequential Multinomial Logit Bandit Problem
• [cs.LG]Dynamic Mini-batch SGD for Elastic Distributed Training: Learning in the Limbo of Resources
• [cs.LG]Enhancing Prediction Models for One-Year Mortality in Patients with Acute Myocardial Infarction and Post Myocardial Infarction Syndrome
• [cs.LG]Evaluating Recurrent Neural Network Explanations
• [cs.LG]Exploring Urban Air Quality with MAPS: Mobile Air Pollution Sensing
• [cs.LG]Exponential Family Estimation via Adversarial Dynamics Embedding
• [cs.LG]Free Gap Information from the Differentially Private Sparse Vector and Noisy Max Mechanisms
• [cs.LG]Graph Matching Networks for Learning the Similarity of Graph Structured Objects
• [cs.LG]Incremental personalized E-mail spam filter using novel TFDCR feature selection with dynamic feature update
• [cs.LG]Knowing When to Stop: Evaluation and Verification of Conformity to Output-size Specifications
• [cs.LG]Learning walk and trot from the same objective using different types of exploration
• [cs.LG]Mixture of Pre-processing Experts Model for Noise Robust Deep Learning on Resource Constrained Platforms
• [cs.LG]Non-Stochastic Multi-Player Multi-Armed Bandits: Optimal Rate With Collision Information, Sublinear Without
• [cs.LG]Optimal Sparse Decision Trees
• [cs.LG]Prediction with Unpredictable Feature Evolution
• [cs.LG]Real numbers, data science and chaos: How to fit any dataset with a single parameter
• [cs.LG]Routing Networks and the Challenges of Modular and Compositional Computation
• [cs.LG]SEALion: a Framework for Neural Network Inference on Encrypted Data
• [cs.LG]Sample Amplification: Increasing Dataset Size even when Learning is Impossible
• [cs.LG]Sistema Sensor para el Monitoreo Ambiental Basado en Redes Neuronales
• [cs.LG]Soft edit distance for differentiable comparison of symbolic sequences
• [cs.LG]Support Vector Regression via a Combined Reward Cum Penalty Loss Function
• [cs.LG]Survey on Automated Machine Learning
• [cs.LG]TMIXT: A process flow for Transcribing MIXed handwritten and machine-printed Text
• [cs.LG]Temporal-Clustering Invariance in Irregular Healthcare Time Series
• [cs.LG]The Step Decay Schedule: A Near Optimal, Geometrically Decaying Learning Rate Procedure
• [cs.LG]Towards Data Poisoning Attack against Knowledge Graph Embedding
• [cs.LG]Unsupervised Data Augmentation
• [cs.MS]Softmax Optimizations for Intel Xeon Processor-based Platforms
• [cs.NE]Computational Approaches to Access Probabilistic Population Codes for Higher Cognition an Decision-Making
• [cs.NI]Periodic Bandits and Wireless Network Selection
• [cs.NI]Radio Resource Allocation for Reliable Out-of-coverage V2V Communications
• [cs.NI]Reinforcement Learning Scheduler for Vehicle-to-Vehicle Communications Outside Coverage
• [cs.RO]Dynamic Environment Prediction in Urban Scenes using Recurrent Representation Learning
• [cs.RO]Efficient Computation of Higher-Order Variational Integrators in Robotic Simulation and Trajectory Optimization
• [cs.RO]Fast path planning algorithms for Unmanned Aerial Vehicles
• [cs.RO]Non-myopic Planetary Exploration Combining In Situ and Remote Measurements
• [cs.RO]Real-time Trajectory Generation for Quadrotors using B-spline based Non-uniform Kinodynamic Search
• [cs.RO]STANCE: Locomotion Adaptation over Soft Terrain
• [cs.RO]Self Training Autonomous Driving Agent
• [cs.SD]Adversarial Speaker Verification
• [cs.SD]Cough Detection Using Hidden Markov Models
• [cs.SD]Localization, Detection and Tracking of Multiple Moving Sound Sources with a Convolutional Recurrent Neural Network
• [cs.SD]Towards Automation of Creativity: A Machine Intelligence Approach
• [cs.SE]Counterexample-Driven Synthesis for Probabilistic Program Sketches
• [cs.SE]Enabling Open-World Specification Mining via Unsupervised Learning
• [cs.SE]Using Social Network Service to determine the Initial User Requirements for Small Software Businesses
• [cs.SI]A Deep Generative Model for Graph Layout
• [cs.SI]A Socio-Informatic Approach to Automated Account Classification on Social Media
• [cs.SI]High Quality Degree Based Heuristics for the Influence Maximization Problem
• [cs.SI]Local non-Bayesian social learning with stubborn agents
• [cs.SI]StartupBR: Higher Education’s Influence on Social Networks and Entrepreneurship in Brazil
• [econ.GN]Regulating AI: do we need new tools?
• [eess.AS]Neural source-filter waveform models for statistical parametric speech synthesis
• [eess.IV]Missing MRI Pulse Sequence Synthesis using Multi-Modal Generative Adversarial Network
• [eess.SP]A Block Sparsity Based Estimator for mmWave Massive MIMO Channels with Beam Squint
• [eess.SP]Asymptotic regime for improperness tests of complex random vectors
• [hep-lat]Flow-based generative models for Markov chain Monte Carlo in lattice field theory
• [math.DS]Stability conditions of an ODE arising in human motion and its numerical simulation
• [math.OC]Blended Matching Pursuit
• [math.OC]Making the Last Iterate of SGD Information Theoretically Optimal
• [math.PR]Entropy inequalities and exponential decay of correlations for unique Gibbs measures on trees
• [math.ST]A Closed Form Approximation of Moments of New Generalization of Negative Binomial Distribution
• [math.ST]Linearized two-layers neural networks in high dimension
• [math.ST]Optimal Bayesian Estimation for Random Dot Product Graphs
• [math.ST]Properties of discrete Fisher information: Cramer-Rao-type and log-Sobolev-type inequalities
• [physics.comp-ph]Constraint-Aware Neural Networks for Riemann Problems
• [physics.comp-ph]Wave Physics as an Analog Recurrent Neural Network
• [q-bio.GN]Genome analysis and pleiotropy assessment using causal networks with loss of function mutation and metabolomics
• [q-bio.NC]Discovering Common Change-Point Patterns in Functional Connectivity Across Subjects
• [q-fin.CP]Gated deep neural networks for implied volatility surfaces
• [q-fin.RM]Tail models and the statistical limit of accuracy in risk assessment
• [stat.AP]Assimilation of semi-qualitative sea ice thickness data with the EnKF-SQ
• [stat.AP]Kernel Machine and Distributed Lag Models for Assessing Windows of Susceptibility to Mixtures of Time-Varying Environmental Exposures in Children’s Health Studies
• [stat.AP]Random spherical hyperbolic diffusion
• [stat.CO]Multilevel adaptive sparse Leja approximations for Bayesian inverse problems
• [stat.ME]Bayesian time-aligned factor analysis of paired multivariate time series
• [stat.ME]Comment on “Hidden truncation hyperbolic distributions, finite mixtures thereof and their application for clustering” Murray, Browne, and \McNicholas
• [stat.ME]Estimation of distributional effects of treatment and control under selection on observables: consistency, weak convergence, and applications
• [stat.ME]Nonparametric maximum likelihood estimation under a likelihood ratio order
• [stat.ME]Smoothing and Interpolating Noisy GPS Data with Smoothing Splines
• [stat.ME]The Hyvärinen scoring rule in Gaussian linear time series models
• [stat.ME]Toward a principled Bayesian workflow in cognitive science
• [stat.ML]Graph Kernels: A Survey
• [stat.ML]Low-Rank Principal Eigenmatrix Analysis
• [stat.ML]Optimizing regularized Cholesky score for order-based learning of Bayesian networks
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• [astro-ph.CO]HIGAN: Cosmic Neutral Hydrogen with Generative Adversarial Networks
Juan Zamudio-Fernandez, Atakan Okan, Francisco Villaescusa-Navarro, Seda Bilaloglu, Asena Derin Cengiz, Siyu He, Laurence Perreault Levasseur, Shirley Ho
http://arxiv.org/abs/1904.12846v1
• [cs.AI]A Complete Classification of the Complexity and Rewritability of Ontology-Mediated Queries based on the Description Logic EL
Carsten Lutz, Leif Sabellek
http://arxiv.org/abs/1904.12533v1
• [cs.AI]Enhancement of Power Equipment Management Using Knowledge Graph
Yachen Tang, Tingting Liu, Guangyi Liu, Jie Li, Renchang Dai, Chen Yuan
http://arxiv.org/abs/1904.12242v1
• [cs.AI]Fuzzy Rule Interpolation Methods and Fri Toolbox
Maen Alzubi, Zsolt Csaba Johanyák, Szilveszter Kovács
http://arxiv.org/abs/1904.12178v1
• [cs.AI]Graph Neural Reasoning for 2-Quantified Boolean Formula Solvers
Zhanfu Yang, Fei Wang, Ziliang Chen, Guannan Wei, Tiark Rompf
http://arxiv.org/abs/1904.12084v1
• [cs.AI]Soft Marginal TransE for Scholarly Knowledge Graph Completion
Mojtaba Nayyeri, Sahar Vahdati, Jens Lehmann, Hamed Shariat Yazdi
http://arxiv.org/abs/1904.12211v1
• [cs.CG]Automatic Support Removal for Additive Manufacturing Post Processing
Saigopal Nelaturi, Morad Behandish, Amir M. Mirzendehdel, Johan de Kleer
http://arxiv.org/abs/1904.12117v1
• [cs.CL]Experiments in Cuneiform Language Identification
Gustavo Henrique Paetzold, Marcos Zampieri
http://arxiv.org/abs/1904.12087v1
• [cs.CL]HELP: A Dataset for Identifying Shortcomings of Neural Models in Monotonicity Reasoning
Hitomi Yanaka, Koji Mineshima, Daisuke Bekki, Kentaro Inui, Satoshi Sekine, Lasha Abzianidze, Johan Bos
http://arxiv.org/abs/1904.12166v1
• [cs.CL]Logician: A Unified End-to-End Neural Approach for Open-Domain Information Extraction
Mingming Sun, Xu Li, Xin Wang, Miao Fan, Yue Feng, Ping Li
http://arxiv.org/abs/1904.12535v1
• [cs.CL]OPIEC: An Open Information Extraction Corpus
Kiril Gashteovski, Sebastian Wanner, Sven Hertling, Samuel Broscheit, Rainer Gemulla
http://arxiv.org/abs/1904.12324v1
• [cs.CL]Semantic Matching of Documents from Heterogeneous Collections: A Simple and Transparent Method for Practical Applications
Mark-Christoph Müller
http://arxiv.org/abs/1904.12550v1
• [cs.CL]Several Experiments on Investigating Pretraining and Knowledge-Enhanced Models for Natural Language Inference
Tianda Li, Xiaodan Zhu, Quan Liu, Qian Chen, Zhigang Chen, Si Wei
http://arxiv.org/abs/1904.12104v1
• [cs.CL]Towards Recognizing Phrase Translation Processes: Experiments on English-French
Yuming Zhai, Pooyan Safari, Gabriel Illouz, Alexandre Allauzen, Anne Vilnat
http://arxiv.org/abs/1904.12213v1
• [cs.CL]Understanding Dataset Design Choices for Multi-hop Reasoning
Jifan Chen, Greg Durrett
http://arxiv.org/abs/1904.12106v1
• [cs.CR]Authenticated Key-Value Stores with Hardware Enclaves
Yuzhe, Tang, Ju Chen, Kai Li, Jianliang Xu, Qi Zhang
http://arxiv.org/abs/1904.12068v1
• [cs.CR]Better Accuracy and Efficiency for Fuzzy Search on Encrypted Data
Jinkun Cao, Jinhao Zhu, Liwei Lin, Ruhui Ma, Haibing Guan
http://arxiv.org/abs/1904.12111v1
• [cs.CR]Blockchain: Emerging Applications and Use Cases
Danda B. Rawat, Vijay Chaudhary, Ronald Doku
http://arxiv.org/abs/1904.12247v1
• [cs.CR]Exploring Information Centrality for Intrusion Detection in Large Networks
Nidhi Rastogi
http://arxiv.org/abs/1904.12138v1
• [cs.CV]3D Dynamic Point Cloud Denoising via Spatio-temporal Graph Modeling
Qianjiang Hu, Zehua Wang, Wei Hu, Xiang Gao, Zongming Guo
http://arxiv.org/abs/1904.12284v1
• [cs.CV]3D-SIC: 3D Semantic Instance Completion for RGB-D Scans
Ji Hou, Angela Dai, Matthias Nießner
http://arxiv.org/abs/1904.12012v1
• [cs.CV]A New Method for Atlanta World Frame Estimation
Yinlong Liu, Alois Knoll, Guang Chen
http://arxiv.org/abs/1904.12717v1
• [cs.CV]A Novel Dual-Lidar Calibration Algorithm Using Planar Surfaces
Jianhao Jiao, Qinghai Liao, Yilong Zhu, Tianyu Liu, Yang Yu, Rui Fan, Lujia Wang, Ming Liu
http://arxiv.org/abs/1904.12116v1
• [cs.CV]A dual branch deep neural network for classification and detection in mammograms
Ran Bakalo, Jacob Goldberger, Rami Ben-Ari
http://arxiv.org/abs/1904.12589v1
• [cs.CV]ARCHANGEL: Tamper-proofing Video Archives using Temporal Content Hashes on the Blockchain
Tu Bui, Daniel Cooper, John Collomosse, Mark Bell, Alex Green, John Sheridan, Jez Higgins, Arindra Das, Jared Keller, Olivier Thereaux, Alan Brown
http://arxiv.org/abs/1904.12059v1
• [cs.CV]Accelerating Proposal Generation Network for \Fast Face Detection on Mobile Devices
Heming Zhang, Xiaolong Wang, Jingwen Zhu, C. -C. Jay Kuo
http://arxiv.org/abs/1904.12094v1
• [cs.CV]An approach to image denoising using manifold approximation without clean images
Rohit Jena
http://arxiv.org/abs/1904.12323v1
• [cs.CV]Attribute Guided Unpaired Image-to-Image Translation with Semi-supervised Learning
Xinyang Li, Jie Hu, Shengchuan Zhang, Xiaopeng Hong, Qixiang Ye, Chenglin Wu, Rongrong Ji
http://arxiv.org/abs/1904.12428v1
• [cs.CV]Automatic extrinsic calibration between a camera and a 3D Lidar using 3D point and plane correspondences
Surabhi Verma, Julie Stephany Berrio, Stewart Worrall, Eduardo Nebot
http://arxiv.org/abs/1904.12433v1
• [cs.CV]Capturing human categorization of natural images at scale by combining deep networks and cognitive models
Ruairidh M. Battleday, Joshua C. Peterson, Thomas L. Griffiths
http://arxiv.org/abs/1904.12690v1
• [cs.CV]Casting Geometric Constraints in Semantic Segmentation as Semi-Supervised Learning
Sinisa Stekovic, Friedrich Fraundorfer, Vincent Lepetit
http://arxiv.org/abs/1904.12534v1
• [cs.CV]Classification and Detection in Mammograms with Weak Supervision via Dual Branch Deep Neural Net
Ran Bakalo, Rami Ben-Ari, Jacob Goldberger
http://arxiv.org/abs/1904.12319v1
• [cs.CV]Collage Inference: Tolerating Stragglers in Distributed Neural Network Inference using Coding
Krishna Giri Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram
http://arxiv.org/abs/1904.12222v1
• [cs.CV]DeLiO: Decoupled LiDAR Odometry
Queens Maria Thomas, Oliver Wasenmüller, Didier Stricker
http://arxiv.org/abs/1904.12667v1
• [cs.CV]DeepHMap++: Combined Projection Grouping and Correspondence Learning for Full DoF Pose Estimation
Mingliang Fu, Weijia Zhou
http://arxiv.org/abs/1904.12735v1
• [cs.CV]Deferred Neural Rendering: Image Synthesis using Neural Textures
Justus Thies, Michael Zollhöfer, Matthias Nießner
http://arxiv.org/abs/1904.12356v1
• [cs.CV]Domain Agnostic Learning with Disentangled Representations
Xingchao Peng, Zijun Huang, Ximeng Sun, Kate Saenko
http://arxiv.org/abs/1904.12347v1
• [cs.CV]End-to-end Cloud Segmentation in High-Resolution Multispectral Satellite Imagery Using Deep Learning
Giorgio Morales, Alejandro Ramírez, Joel Telles
http://arxiv.org/abs/1904.12743v1
• [cs.CV]Fast Infant MRI Skullstripping with Multiview 2D Convolutional Neural Networks
Amod Jog, P. Ellen Grant, Joseph L. Jacobson, Andre van der Kouwe, Ernesta M. Meintjes, Bruce Fischl, Lilla Zöllei
http://arxiv.org/abs/1904.12101v1
• [cs.CV]HOG feature extraction from encrypted images for privacy-preserving machine learning
Masaki Kitayama, Hitoshi Kiya
http://arxiv.org/abs/1904.12434v1
• [cs.CV]Hierarchical Recurrent Neural Network for Video Summarization
Bin Zhao, Xuelong Li, Xiaoqiang Lu
http://arxiv.org/abs/1904.12251v1
• [cs.CV]Human-Centered Emotion Recognition in Animated GIFs
Zhengyuan Yang, Yixuan Zhang, Jiebo Luo
http://arxiv.org/abs/1904.12201v1
• [cs.CV]Improved Conditional VRNNs for Video Prediction
Lluis Castrejon, Nicolas Ballas, Aaron Courville
http://arxiv.org/abs/1904.12165v1
• [cs.CV]IsMo-GAN: Adversarial Learning for Monocular Non-Rigid 3D Reconstruction
Soshi Shimada, Vladislav Golyanik, Christian Theobalt, Didier Stricker
http://arxiv.org/abs/1904.12144v1
• [cs.CV]LeGR: Filter Pruning via Learned Global Ranking
Ting-Wu Chin, Ruizhou Ding, Cha Zhang, Diana Marculescu
http://arxiv.org/abs/1904.12368v1
• [cs.CV]Learning to Fuse Local Geometric Features for 3D Rigid Data Matching
Jiaqi Yang, Chen Zhao, Ke Xian, Angfan Zhu, Zhiguo Cao
http://arxiv.org/abs/1904.12099v1
• [cs.CV]Meta Anti-spoofing: Learning to Learn in Face Anti-spoofing
Chenxu Zhao, Yunxiao Qin, Zezheng Wang, Tianyu Fu, Hailin Shi
http://arxiv.org/abs/1904.12490v1
• [cs.CV]Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks
Xiang He, Sibei Yang, Guanbin Li?, Haofeng Li, Huiyou Chang, Yizhou Yu
http://arxiv.org/abs/1904.12181v1
• [cs.CV]Progressive Differentiable Architecture Search: Bridging the Depth Gap between Search and Evaluation
Xin Chen, Lingxi Xie, Jun Wu, Qi Tian
http://arxiv.org/abs/1904.12760v1
• [cs.CV]RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion
Muhammad Sarmad, Hyunjoo Jenny Lee, Young Min Kim
http://arxiv.org/abs/1904.12304v1
• [cs.CV]Recurrent Embedding Aggregation Network for Video Face Recognition
Sixue Gong, Yichun Shi, Anil K. Jain, Nathan D. Kalka
http://arxiv.org/abs/1904.12019v1
• [cs.CV]Relevant features for Gender Classification in NIR Periocular Images
Ignacio Viedma, Juan Tapia, Andres Iturriaga, Christoph Busch
http://arxiv.org/abs/1904.12007v1
• [cs.CV]Robust subspace clustering by Cauchy loss function
Xuelong Li, Quanmao Lu, Yongsheng Dong, Dacheng Tao
http://arxiv.org/abs/1904.12274v1
• [cs.CV]Self-Attention Capsule Networks for Image Classification
Assaf Hoogi, Brian Wilcox, Yachee Gupta, Daniel L. Rubin
http://arxiv.org/abs/1904.12483v1
• [cs.CV]Solo or Ensemble? Choosing a CNN Architecture for Melanoma Classification
Fábio Perez, Sandra Avila, Eduardo Valle
http://arxiv.org/abs/1904.12724v1
• [cs.CV]Spatio-Temporal Filter Adaptive Network for Video Deblurring
Shangchen Zhou, Jiawei Zhang, Jinshan Pan, Haozhe Xie, Wangmeng Zuo, Jimmy Ren
http://arxiv.org/abs/1904.12257v1
• [cs.CV]Style Transfer by Relaxed Optimal Transport and Self-Similarity
Nicholas Kolkin, Jason Salavon, Greg Shakhnarovich
http://arxiv.org/abs/1904.12785v1
• [cs.CV]Synthetic Data Generation and Adaption for Object Detection in Smart Vending Machines
Kai Wang, Fuyuan Shi, Wenqi Wang, Yibing Nan, Shiguo Lian
http://arxiv.org/abs/1904.12294v1
• [cs.CV]Translate-to-Recognize Networks for RGB-D Scene Recognition
Dapeng Du, Limin Wang, Huiling Wang, Kai Zhao, Gangshan Wu
http://arxiv.org/abs/1904.12254v1
• [cs.CV]Unsupervised Feature Learning for Point Cloud by Contrasting and Clustering With Graph Convolutional Neural Network
Ling Zhang, Zhigang Zhu
http://arxiv.org/abs/1904.12359v1
• [cs.CV]Unsupervised and Unregistered Hyperspectral Image Super-Resolution with Mutual Dirichlet-Net
Ying Qu, Hairong Qi, Chiman Kwan
http://arxiv.org/abs/1904.12175v1
• [cs.CV]Weighted Dark Channel Dehazing
Zhu Mingzhu, He Bingwei, Liu Jiantao
http://arxiv.org/abs/1904.12245v1
• [cs.CV]X-Ray Image Compression Using Convolutional Recurrent Neural Networks
Asif Shahriyar Sushmit, Shakib Uz Zaman, Ahmed Imtiaz Humayun, Taufiq Hasan
http://arxiv.org/abs/1904.12271v1
• [cs.CY]Teaching AI, Ethics, Law and Policy
Asher Wilk
http://arxiv.org/abs/1904.12470v1
• [cs.DC]A Practical Analysis of Rust’s Concurrency Story
Aditya Saligrama, Andrew Shen, Jon Gjengset
http://arxiv.org/abs/1904.12210v1
• [cs.DC]Accurate MapReduce Algorithms for $k$-median and $k$-means in General Metric Spaces
Alessio Mazzetto, Andrea Pietracaprina, Geppino Pucci
http://arxiv.org/abs/1904.12728v1
• [cs.DC]Reinforcement Learning Based Orchestration for Elastic Services
M. Fadel Argerich, B. Cheng, J. Fürst
http://arxiv.org/abs/1904.12676v1
• [cs.DC]Winner-Take-All Computation in Spiking Neural Networks
Nancy Lynch, Cameron Musco, Merav Parter
http://arxiv.org/abs/1904.12591v1
• [cs.DL]Venue Analytics: A Simple Alternative to Citation-Based Metrics
Leonid Keselman
http://arxiv.org/abs/1904.12573v1
• [cs.DS]Pushing Lines Helps: Efficient Universal Centralised Transformations for Programmable Matter
Abdullah Almethen, Othon Michail, Igor Potapov
http://arxiv.org/abs/1904.12777v1
• [cs.GR]TileGAN: Synthesis of Large-Scale Non-Homogeneous Textures
Anna Frühstück, Ibraheem Alhashim, Peter Wonka
http://arxiv.org/abs/1904.12795v1
• [cs.GT]Competitive Statistical Estimation with Strategic Data Sources
Tyler Westenbroek, Roy Dong, Lillian J. Ratliff, S. Shankar Sastry
http://arxiv.org/abs/1904.12768v1
• [cs.HC]E-Gotsky: Sequencing Content using the Zone of Proximal Development
Oded Vainas, Ori Bar-Ilan, Yossi Ben-David, Ran Gilad-Bachrach, Galit Lukin, Meitar Ronen, Roi Shillo, Daniel Sitton
http://arxiv.org/abs/1904.12268v1
• [cs.HC]TheFragebogen: A Web Browser-based Questionnaire Framework for Scientific Research
Dennis Guse, Henrique R. Orefice, Gabriel Reimers, Oliver Hohlfeld
http://arxiv.org/abs/1904.12568v1
• [cs.HC]Vector Autoregressive POMDP Model Learning and Planning for Human-Robot Collaboration
Wei Zheng, Hai Lin
http://arxiv.org/abs/1904.12357v1
• [cs.IR]Hierarchical Context enabled Recurrent Neural Network for Recommendation
Kyungwoo Song, Mingi Ji, Sungrae Park, Il-Chul Moon
http://arxiv.org/abs/1904.12674v1
• [cs.IR]Inductive Graph Pattern Learning for Recommender Systems Based on a Graph Neural Network
Muhan Zhang, Yixin Chen
http://arxiv.org/abs/1904.12058v1
• [cs.IR]On the Effect of Low-Frequency Terms on Neural-IR Models
Hofstätter, Sebastian, Rekabsaz, Navid, Eickhoff, Carsten, Hanbury, Allan
http://arxiv.org/abs/1904.12683v1
• [cs.IR]Relational Collaborative Filtering:Modeling Multiple Item Relations for Recommendation
Xin Xin, Xiangnan He, Yongfeng Zhang, Yongdong Zhang, Joemon Jose
http://arxiv.org/abs/1904.12796v1
• [cs.IT]A Cross-Layer Approach to Data-aided Sensing using Compressive Random Access
Jinho Choi
http://arxiv.org/abs/1904.12556v1
• [cs.IT]A Simple Derivation of the Refined SPB for the Constant Composition Codes
Barış Nakiboğlu
http://arxiv.org/abs/1904.12780v1
• [cs.IT]A short note on Goppa codes over Elementary Abelian $p$-Extensions of $\mathbb{F}_{p^s}(x)$
Nupur Patanker, Sanjay Kumar Singh
http://arxiv.org/abs/1904.12256v1
• [cs.IT]Achieving Max-Min Throughput in LoRa Networks
Jiangbin Lyu, Dan Yu, Liqun Fu
http://arxiv.org/abs/1904.12300v1
• [cs.IT]Analysis of reaction and timing attacks against cryptosystems based on sparse parity-check codes
Paolo Santini, Massimo Battaglioni, Franco Chiaraluce, Marco Baldi
http://arxiv.org/abs/1904.12215v1
• [cs.IT]Asymptotic Analysis of RZF over Double Scattering Channels with MMSE Estimation
Qurrat-Ul-Ain Nadeem, Abla Kammoun, Merouane Debbah, Mohamed-Slim Alouini
http://arxiv.org/abs/1904.12197v1
• [cs.IT]Decision Procedure for the Existence of Two-Channel Prefix-Free Codes
Hoover H. F. Yin, Ka Hei Ng, Yu Ting Shing, Russell W. F. Lai, Xishi Wang
http://arxiv.org/abs/1904.12112v1
• [cs.IT]Experimental Demonstration of Data Transmission Based on the Exact Inverse Periodic Nonlinear Fourier Transform
Jan-Willem Goossens, Yves Jaouën, Hartmut Hafermann
http://arxiv.org/abs/1904.12824v1
• [cs.IT]Learning-based Rate Adaptation for Uplink Massive MIMO Networks with Cooperative Data-Assisted Detection
Yang Li, Zezhong Zhang, Rui Wang, Kaibin Huang, Yifan Chen
http://arxiv.org/abs/1904.12168v1
• [cs.IT]MISO Wireless Communication Systems via Intelligent Reflecting Surfaces
Xianghao Yu, Dongfang Xu, Robert Schober
http://arxiv.org/abs/1904.12199v1
• [cs.IT]Machine Learning in the Air
Deniz Gunduz, Paul de Kerret, Nicholas D. Sidiropoulos, David Gesbert, Chandra Murthy, Mihaela van der Schaar
http://arxiv.org/abs/1904.12385v1
• [cs.IT]New Quantum Generalized Reed-Solomn Codes over Finite Fields
Xiaolei Fang, Jinquan Luo
http://arxiv.org/abs/1904.12441v1
• [cs.IT]Optimal Task Assignment and Power Allocation for NOMA Mobile-Edge Computing Networks
Fang Fang, Yanqing Xu, Zhiguo Ding, Chao Shen, Mugen Peng, George K. Karagiannidis
http://arxiv.org/abs/1904.12389v1
• [cs.IT]Over-the-Air Computation via Intelligent Reflecting Surfaces
Tao Jiang, Yuanming Shi
http://arxiv.org/abs/1904.12475v1
• [cs.IT]Partially Ordered Statistics Demapping for Multi-Dimensional Modulation Formats
Djalal F. Bendimerad, Huijian Zhang, Ingmar Land, Hartmut Hafermann
http://arxiv.org/abs/1904.12828v1
• [cs.IT]Security of Covert Quantum Key Distribution under a Class of Coherent Attacks
Mehrdad Tahmasbi, Matthieu R. Bloch
http://arxiv.org/abs/1904.12363v1
• [cs.IT]Simultaneous Phase Retrieval and Blind Deconvolution via Convex Programming
Ali Ahmed, Alireza Aghasi, Paul Hand
http://arxiv.org/abs/1904.12680v1
• [cs.IT]The Optimal Power Control Policy for an Energy Harvesting System with Look-Ahead: Bernoulli Energy Arrivals
Ali Zibaeenejad, Jun Chen
http://arxiv.org/abs/1904.12281v1
• [cs.IT]Wireless Network Reliability Analysis for Arbitrary Network Topologies
Semiha Tedik Basaran, Gunes Karabulut Kurt, Frank R. Kschischang
http://arxiv.org/abs/1904.12736v1
• [cs.LG]A Review of Modularization Techniques in Artificial Neural Networks
Mohammed Amer, Tomás Maul
http://arxiv.org/abs/1904.12770v1
• [cs.LG]A convolution recurrent autoencoder for spatio-temporal missing data imputation
Reza Asadi, Amelia Regan
http://arxiv.org/abs/1904.12413v1
• [cs.LG]Adversarial Invariant Feature Learning with Accuracy Constraint for Domain Generalization
Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo
http://arxiv.org/abs/1904.12543v1
• [cs.LG]Adversarial Speaker Adaptation
Zhong Meng, Jinyu Li, Yifan Gong
http://arxiv.org/abs/1904.12407v1
• [cs.LG]Adversarial Training for Free!
Ali Shafahi, Mahyar Najibi, Amin Ghiasi, Zheng Xu, John Dickerson, Christoph Studer, Larry S. Davis, Gavin Taylor, Tom Goldstein
http://arxiv.org/abs/1904.12843v1
• [cs.LG]Analysis of Confident-Classifiers for Out-of-distribution Detection
Sachin Vernekar, Ashish Gaurav, Taylor Denouden, Buu Phan, Vahdat Abdelzad, Rick Salay, Krzysztof Czarnecki
http://arxiv.org/abs/1904.12220v1
• [cs.LG]Application of Autoencoder-Assisted Recurrent Neural Networks to Prevent Cases of Sudden Infant Death Syndrome
Maximilian Du
http://arxiv.org/abs/1904.12386v1
• [cs.LG]Arbitrage of Energy Storage in Electricity Markets with Deep Reinforcement Learning
Xu Hanchen, Li Xiao, Zhang Xiangyu, Zhang Junbo
http://arxiv.org/abs/1904.12232v1
• [cs.LG]Asymmetric Impurity Functions, Class Weighting, and Optimal Splits for Binary Classification Trees
David Zimmermann
http://arxiv.org/abs/1904.12465v1
• [cs.LG]Attentive Adversarial Learning for Domain-Invariant Training
Zhong Meng, Jinyu Li, Yifan Gong
http://arxiv.org/abs/1904.12400v1
• [cs.LG]Challenges and Pitfalls of Reproducing Machine Learning Artifacts
Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-mei Hwu
http://arxiv.org/abs/1904.12437v1
• [cs.LG]Conditional Teacher-Student Learning
Zhong Meng, Jinyu Li, Yong Zhao, Yifan Gong
http://arxiv.org/abs/1904.12399v1
• [cs.LG]ConvTimeNet: A Pre-trained Deep Convolutional Neural Network for Time Series Classification
Kathan Kashiparekh, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
http://arxiv.org/abs/1904.12546v1
• [cs.LG]DAC: The Double Actor-Critic Architecture for Learning Options
Shangtong Zhang, Shimon Whiteson
http://arxiv.org/abs/1904.12691v1
• [cs.LG]Deep pNML: Predictive Normalized Maximum Likelihood for Deep Neural Networks
Koby Bibas, Yaniv Fogel, Meir Feder
http://arxiv.org/abs/1904.12286v1
• [cs.LG]Dynamic Learning with Frequent New Product Launches: A Sequential Multinomial Logit Bandit Problem
Junyu Cao, Wei Sun
http://arxiv.org/abs/1904.12445v1
• [cs.LG]Dynamic Mini-batch SGD for Elastic Distributed Training: Learning in the Limbo of Resources
Haibin Lin, Hang Zhang, Yifei Ma, Tong He, Zhi Zhang, Sheng Zha, Mu Li
http://arxiv.org/abs/1904.12043v1
• [cs.LG]Enhancing Prediction Models for One-Year Mortality in Patients with Acute Myocardial Infarction and Post Myocardial Infarction Syndrome
Seyedeh Neelufar Payrovnaziri, Laura A. Barrett, Daniel Bis, Jiang Bian, Zhe He
http://arxiv.org/abs/1904.12383v1
• [cs.LG]Evaluating Recurrent Neural Network Explanations
Leila Arras, Ahmed Osman, Klaus-Robert Müller, Wojciech Samek
http://arxiv.org/abs/1904.11829v2
• [cs.LG]Exploring Urban Air Quality with MAPS: Mobile Air Pollution Sensing
Jun Song, Ke Han
http://arxiv.org/abs/1904.12303v1
• [cs.LG]Exponential Family Estimation via Adversarial Dynamics Embedding
Bo Dai, Zhen Liu, Hanjun Dai, Niao He, Arthur Gretton, Le Song, Dale Schuurmans
http://arxiv.org/abs/1904.12083v1
• [cs.LG]Free Gap Information from the Differentially Private Sparse Vector and Noisy Max Mechanisms
Zeyu Ding, Yuxin Wang, Danfeng Zhang, Daniel Kifer
http://arxiv.org/abs/1904.12773v1
• [cs.LG]Graph Matching Networks for Learning the Similarity of Graph Structured Objects
Yujia Li, Chenjie Gu, Thomas Dullien, Oriol Vinyals, Pushmeet Kohli
http://arxiv.org/abs/1904.12787v1
• [cs.LG]Incremental personalized E-mail spam filter using novel TFDCR feature selection with dynamic feature update
Gopi Sanghani, Ketan Kotecha
http://arxiv.org/abs/1904.12118v1
• [cs.LG]Knowing When to Stop: Evaluation and Verification of Conformity to Output-size Specifications
Chenglong Wang, Rudy Bunel, Krishnamurthy Dvijotham, Po-Sen Huang, Edward Grefenstette, Pushmeet Kohli
http://arxiv.org/abs/1904.12004v1
• [cs.LG]Learning walk and trot from the same objective using different types of exploration
Zinan Liu, Kai Ploeger, Svenja Stark, Elmar Rueckert, Jan Peters
http://arxiv.org/abs/1904.12336v1
• [cs.LG]Mixture of Pre-processing Experts Model for Noise Robust Deep Learning on Resource Constrained Platforms
Taesik Na, Minah Lee, Burhan A. Mudassar, Priyabrata Saha, Jong Hwan Ko, Saibal Mukhopadhyay
http://arxiv.org/abs/1904.12426v1
• [cs.LG]Non-Stochastic Multi-Player Multi-Armed Bandits: Optimal Rate With Collision Information, Sublinear Without
Sébastien Bubeck, Yuanzhi Li, Yuval Peres, Mark Sellke
http://arxiv.org/abs/1904.12233v1
• [cs.LG]Optimal Sparse Decision Trees
Xiyang Hu, Cynthia Rudin, Margo Seltzer
http://arxiv.org/abs/1904.12847v1
• [cs.LG]Prediction with Unpredictable Feature Evolution
Bo-Jian Hou, Lijun Zhang, Zhi-Hua Zhou
http://arxiv.org/abs/1904.12171v1
• [cs.LG]Real numbers, data science and chaos: How to fit any dataset with a single parameter
Laurent Boué
http://arxiv.org/abs/1904.12320v1
• [cs.LG]Routing Networks and the Challenges of Modular and Compositional Computation
Clemens Rosenbaum, Ignacio Cases, Matthew Riemer, Tim Klinger
http://arxiv.org/abs/1904.12774v1
• [cs.LG]SEALion: a Framework for Neural Network Inference on Encrypted Data
Tim van Elsloo, Giorgio Patrini, Hamish Ivey-Law
http://arxiv.org/abs/1904.12840v1
• [cs.LG]Sample Amplification: Increasing Dataset Size even when Learning is Impossible
Brian Axelrod, Shivam Garg, Vatsal Sharan, Gregory Valiant
http://arxiv.org/abs/1904.12053v1
• [cs.LG]Sistema Sensor para el Monitoreo Ambiental Basado en Redes Neuronales
Jose de Jesus Rubio, Jose Alberto Hernandez-Aguilar, Francisco Jacob Avila-Camacho, Juan Manuel Stein-Carrillo, Adolfo Melendez-Ramirez
http://arxiv.org/abs/1904.12234v1
• [cs.LG]Soft edit distance for differentiable comparison of symbolic sequences
Evgenii Ofitserov, Vasily Tsvetkov, Vadim Nazarov
http://arxiv.org/abs/1904.12562v1
• [cs.LG]Support Vector Regression via a Combined Reward Cum Penalty Loss Function
Pritam Anand, Reshma Rastogi, Suresh Chandra
http://arxiv.org/abs/1904.12331v1
• [cs.LG]Survey on Automated Machine Learning
Marc-André Zöller, Marco F. Huber
http://arxiv.org/abs/1904.12054v1
• [cs.LG]TMIXT: A process flow for Transcribing MIXed handwritten and machine-printed Text
Fady Medhat, Mahnaz Mohammadi, Sardar Jaf, Chris G. Willcocks, Toby P. Breckon, Peter Matthews, Andrew Stephen McGough, Georgios Theodoropoulos, Boguslaw Obara
http://arxiv.org/abs/1904.12387v1
• [cs.LG]Temporal-Clustering Invariance in Irregular Healthcare Time Series
Mohammad Taha Bahadori, Zachary Chase Lipton
http://arxiv.org/abs/1904.12206v1
• [cs.LG]The Step Decay Schedule: A Near Optimal, Geometrically Decaying Learning Rate Procedure
Rong Ge, Sham M. Kakade, Rahul Kidambi, Praneeth Netrapalli
http://arxiv.org/abs/1904.12838v1
• [cs.LG]Towards Data Poisoning Attack against Knowledge Graph Embedding
Hengtong Zhang, Tianhang Zheng, Jing Gao, Chenglin Miao, Lu Su, Yaliang Li, Kui Ren
http://arxiv.org/abs/1904.12052v1
• [cs.LG]Unsupervised Data Augmentation
Qizhe Xie, Zihang Dai, Eduard Hovy, Minh-Thang Luong, Quoc V. Le
http://arxiv.org/abs/1904.12848v1
• [cs.MS]Softmax Optimizations for Intel Xeon Processor-based Platforms
Jacek Czaja, Michal Gallus, Tomasz Patejko, Jian Tang
http://arxiv.org/abs/1904.12380v1
• [cs.NE]Computational Approaches to Access Probabilistic Population Codes for Higher Cognition an Decision-Making
Kevin Jasberg, Sergej Sizov
http://arxiv.org/abs/1904.12651v1
• [cs.NI]Periodic Bandits and Wireless Network Selection
Shunhao Oh, Anuja Meetoo Appavoo, Seth Gilbert
http://arxiv.org/abs/1904.12355v1
• [cs.NI]Radio Resource Allocation for Reliable Out-of-coverage V2V Communications
Taylan Şahin, Mate Boban
http://arxiv.org/abs/1904.12710v1
• [cs.NI]Reinforcement Learning Scheduler for Vehicle-to-Vehicle Communications Outside Coverage
Taylan Şahin, Ramin Khalili, Mate Boban, Adam Wolisz
http://arxiv.org/abs/1904.12653v1
• [cs.RO]Dynamic Environment Prediction in Urban Scenes using Recurrent Representation Learning
Masha Itkina, Katherine Driggs-Campbell, Mykel J. Kochenderfer
http://arxiv.org/abs/1904.12374v1
• [cs.RO]Efficient Computation of Higher-Order Variational Integrators in Robotic Simulation and Trajectory Optimization
Taosha Fan, Jarvis Schultz, Todd Murphey
http://arxiv.org/abs/1904.12756v1
• [cs.RO]Fast path planning algorithms for Unmanned Aerial Vehicles
Mohammad Reza Ranjbar Divkoti, Mostafa Nouri-Baygi
http://arxiv.org/abs/1904.12283v1
• [cs.RO]Non-myopic Planetary Exploration Combining In Situ and Remote Measurements
Suhit Kodgule, Alberto Candela, David Wettergreen
http://arxiv.org/abs/1904.12255v1
• [cs.RO]Real-time Trajectory Generation for Quadrotors using B-spline based Non-uniform Kinodynamic Search
Lvbang Tang, Hesheng Wang
http://arxiv.org/abs/1904.12348v1
• [cs.RO]STANCE: Locomotion Adaptation over Soft Terrain
Shamel Fahmi, Michele Focchi, Andreea Radulescu, Geoff Fink, Victor Barasuol, Claudio Semini
http://arxiv.org/abs/1904.12306v1
• [cs.RO]Self Training Autonomous Driving Agent
Shashank Kotyan, Danilo Vasconcellos Vargas, Venkanna U
http://arxiv.org/abs/1904.12738v1
• [cs.SD]Adversarial Speaker Verification
Zhong Meng, Yong Zhao, Jinyu Li, Yifan Gong
http://arxiv.org/abs/1904.12406v1
• [cs.SD]Cough Detection Using Hidden Markov Models
Aydin Teyhouee, Nathaniel D. Osgood
http://arxiv.org/abs/1904.12354v1
• [cs.SD]Localization, Detection and Tracking of Multiple Moving Sound Sources with a Convolutional Recurrent Neural Network
Sharath Adavanne, Archontis Politis, Tuomas Virtanen
http://arxiv.org/abs/1904.12769v1
• [cs.SD]Towards Automation of Creativity: A Machine Intelligence Approach
Subodh Deolekar, Siby Abraham
http://arxiv.org/abs/1904.12194v1
• [cs.SE]Counterexample-Driven Synthesis for Probabilistic Program Sketches
Milan Češka, Christian Hensel, Sebastian Junges, Joost-Pieter Katoen
http://arxiv.org/abs/1904.12371v1
• [cs.SE]Enabling Open-World Specification Mining via Unsupervised Learning
Jordan Henkel, Shuvendu K. Lahiri, Ben Liblit, Thomas Reps
http://arxiv.org/abs/1904.12098v1
• [cs.SE]Using Social Network Service to determine the Initial User Requirements for Small Software Businesses
Nazakat Ali, Jang-Eui Hong
http://arxiv.org/abs/1904.12583v1
• [cs.SI]A Deep Generative Model for Graph Layout
Oh-Hyun Kwon, Kwan-Liu Ma
http://arxiv.org/abs/1904.12225v1
• [cs.SI]A Socio-Informatic Approach to Automated Account Classification on Social Media
Laurenz A Cornelissen, Petrus Schoonwinkel, Richard J Barnett
http://arxiv.org/abs/1904.12149v1
• [cs.SI]High Quality Degree Based Heuristics for the Influence Maximization Problem
Maryam Adineh, Mostafa Nouri-Baygi
http://arxiv.org/abs/1904.12164v1
• [cs.SI]Local non-Bayesian social learning with stubborn agents
Daniel Vial, Vijay Subramanian
http://arxiv.org/abs/1904.12767v1
• [cs.SI]StartupBR: Higher Education’s Influence on Social Networks and Entrepreneurship in Brazil
Michelle Reddy, Júlio C. Nardelli, Yuri L. Pereira, Marisa Vasconcelos, Thiago H. Silva, Leonardo B. Oliveira, Mark Horowitz
http://arxiv.org/abs/1904.12026v1
• [econ.GN]Regulating AI: do we need new tools?
Otello Ardovino, Jacopo Arpetti, Marco Delmastro
http://arxiv.org/abs/1904.12134v1
• [eess.AS]Neural source-filter waveform models for statistical parametric speech synthesis
Xin Wang, Shinji Takaki, Junichi Yamagishi
http://arxiv.org/abs/1904.12088v1
• [eess.IV]Missing MRI Pulse Sequence Synthesis using Multi-Modal Generative Adversarial Network
Anmol Sharma, Ghassan Hamarneh
http://arxiv.org/abs/1904.12200v1
• [eess.SP]A Block Sparsity Based Estimator for mmWave Massive MIMO Channels with Beam Squint
Mingjin Wang, Feifei Gao, Mark F. Flanagan, Nir Shlezinger, Yonina C. Eldar
http://arxiv.org/abs/1904.12272v1
• [eess.SP]Asymptotic regime for improperness tests of complex random vectors
Florent Chatelain, Nicolas Le Bihan, Jonathan H. Manton
http://arxiv.org/abs/1904.12810v1
• [hep-lat]Flow-based generative models for Markov chain Monte Carlo in lattice field theory
M. S. Albergo, G. Kanwar, P. E. Shanahan
http://arxiv.org/abs/1904.12072v1
• [math.DS]Stability conditions of an ODE arising in human motion and its numerical simulation
Takahiro Kosugi, Hitoshi Kino, Masaaki Goto, Yuki Matsutani
http://arxiv.org/abs/1904.12394v1
• [math.OC]Blended Matching Pursuit
Cyrille W. Combettes, Sebastian Pokutta
http://arxiv.org/abs/1904.12335v1
• [math.OC]Making the Last Iterate of SGD Information Theoretically Optimal
Prateek Jain, Dheeraj Nagaraj, Praneeth Netrapalli
http://arxiv.org/abs/1904.12443v1
• [math.PR]Entropy inequalities and exponential decay of correlations for unique Gibbs measures on trees
Andrei Alpeev
http://arxiv.org/abs/1904.12352v1
• [math.ST]A Closed Form Approximation of Moments of New Generalization of Negative Binomial Distribution
Sudip Roy, Ram C. Tripathi, N. Balakrishnan
http://arxiv.org/abs/1904.12459v1
• [math.ST]Linearized two-layers neural networks in high dimension
Behrooz Ghorbani, Song Mei, Theodor Misiakiewicz, Andrea Montanari
http://arxiv.org/abs/1904.12191v1
• [math.ST]Optimal Bayesian Estimation for Random Dot Product Graphs
Fangzheng Xie, Yanxun Xu
http://arxiv.org/abs/1904.12070v1
• [math.ST]Properties of discrete Fisher information: Cramer-Rao-type and log-Sobolev-type inequalities
Tomohiro Nishiyama
http://arxiv.org/abs/1904.12704v1
• [physics.comp-ph]Constraint-Aware Neural Networks for Riemann Problems
Jim Magiera, Deep Ray, Jan S. Hesthaven, Christian Rohde
http://arxiv.org/abs/1904.12794v1
• [physics.comp-ph]Wave Physics as an Analog Recurrent Neural Network
Tyler W. Hughes, Ian A. D. Williamson, Momchil Minkov, Shanhui Fan
http://arxiv.org/abs/1904.12831v1
• [q-bio.GN]Genome analysis and pleiotropy assessment using causal networks with loss of function mutation and metabolomics
Azam Yazdani, Akram Yazdani, Sarah H. Elsea, Daniel J. Schaid, Michael R. Kosorok, Gita Dangol, Ahmad Samiei
http://arxiv.org/abs/1904.12652v1
• [q-bio.NC]Discovering Common Change-Point Patterns in Functional Connectivity Across Subjects
Mengyu Dai, Zhengwu Zhang, Anuj Srivastava
http://arxiv.org/abs/1904.12023v1
• [q-fin.CP]Gated deep neural networks for implied volatility surfaces
Yu Zheng, Yongxin Yang, Bowei Chen
http://arxiv.org/abs/1904.12834v1
• [q-fin.RM]Tail models and the statistical limit of accuracy in risk assessment
Ingo Hoffmann, Christoph J. Börner
http://arxiv.org/abs/1904.12113v1
• [stat.AP]Assimilation of semi-qualitative sea ice thickness data with the EnKF-SQ
Abhishek Shah, Laurent Bertino, Francois Counillon, Mohamad El Gharamti, Jiping Xie
http://arxiv.org/abs/1904.12590v1
• [stat.AP]Kernel Machine and Distributed Lag Models for Assessing Windows of Susceptibility to Mixtures of Time-Varying Environmental Exposures in Children’s Health Studies
Ander Wilson, Yueh-Hsiu Mathilda Chiu, Hsiao-Hsien Leon Hsu, Robert O. Wright, Rosalind J. Wright, Brent A. Coull
http://arxiv.org/abs/1904.12417v1
• [stat.AP]Random spherical hyperbolic diffusion
Phil Broadbridge, Alexander D. Kolesnik, Nikolai Leonenko, Andriy Olenko
http://arxiv.org/abs/1904.12243v1
• [stat.CO]Multilevel adaptive sparse Leja approximations for Bayesian inverse problems
Ionut-Gabriel Farcas, Jonas Latz, Elisabeth Ullmann, Tobias Neckel, Hans-Joachim Bunagrtz
http://arxiv.org/abs/1904.12204v1
• [stat.ME]Bayesian time-aligned factor analysis of paired multivariate time series
Arkaprava Roy, Jana Schaich-Borg, David B Dunson
http://arxiv.org/abs/1904.12103v1
• [stat.ME]Comment on “Hidden truncation hyperbolic distributions, finite mixtures thereof and their application for clustering” Murray, Browne, and \McNicholas
Geoffrey J. McLachlan, Sharon X. Lee
http://arxiv.org/abs/1904.12057v1
• [stat.ME]Estimation of distributional effects of treatment and control under selection on observables: consistency, weak convergence, and applications
Pier Luigi Conti, Livia De Giovanni
http://arxiv.org/abs/1904.12159v1
• [stat.ME]Nonparametric maximum likelihood estimation under a likelihood ratio order
Ted Westling, Kevin J. Downes, Dylan S. Small
http://arxiv.org/abs/1904.12321v1
• [stat.ME]Smoothing and Interpolating Noisy GPS Data with Smoothing Splines
Jeffrey J. Early, Adam M. Sykulski
http://arxiv.org/abs/1904.12064v1
• [stat.ME]The Hyvärinen scoring rule in Gaussian linear time series models
Silvia Columbu, Valentina Mameli, Monica Musio, A. Philip Dawid
http://arxiv.org/abs/1904.12513v1
• [stat.ME]Toward a principled Bayesian workflow in cognitive science
Daniel J. Schad, Michael Betancourt, Shravan Vasishth
http://arxiv.org/abs/1904.12765v1
• [stat.ML]Graph Kernels: A Survey
Giannis Nikolentzos, Giannis Siglidis, Michalis Vazirgiannis
http://arxiv.org/abs/1904.12218v1
• [stat.ML]Low-Rank Principal Eigenmatrix Analysis
Krishna Balasubramanian, Elynn Y. Chen, Jianqing Fan, Xiang Wu
http://arxiv.org/abs/1904.12369v1
• [stat.ML]Optimizing regularized Cholesky score for order-based learning of Bayesian networks
Qiaoling Ye, Arash A. Amini, Qing Zhou
http://arxiv.org/abs/1904.12360v1