astro-ph.IM - 仪器仪表和天体物理学方法

    cs.AI - 人工智能 cs.CE - 计算工程、 金融和科学 cs.CL - 计算与语言 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.GR - 计算机图形学 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SC - 符号计算 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.IV - 图像与视频处理 math.AP - 偏微分方程分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.soc-ph - 物理学与社会 q-bio.QM - 定量方法 q-fin.PM - 投资组合管理 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.IM]A Preferential Attachment Model for the Stellar Initial Mass Function
    • [cs.AI]Assistive System in Conversational Agent for Health Coaching: The CoachAI Approach
    • [cs.AI]Characterization of Glue Variables in CDCL SAT Solving
    • [cs.AI]On Learning to Prove
    • [cs.AI]Reward-Based Deception with Cognitive Bias
    • [cs.CE]A pressure field model for fast, robust approximation of net contact force and moment between nominally rigid objects
    • [cs.CL]Assessing the Tolerance of Neural Machine Translation Systems Against Speech Recognition Errors
    • [cs.CL]Importance of Copying Mechanism for News Headline Generation
    • [cs.CL]Phonetically-Oriented Word Error Alignment for Speech Recognition Error Analysis in Speech Translation
    • [cs.CL]Terminologies augmented recurrent neural network model for clinical named entity recognition
    • [cs.CL]The Zero Resource Speech Challenge 2019: TTS without T
    • [cs.CL]Toponym Identification in Epidemiology Articles — A Deep Learning Approach
    • [cs.CV]A Conditional Adversarial Network for Scene Flow Estimation
    • [cs.CV]A Deeper Look at Facial Expression Dataset Bias
    • [cs.CV]Analytical Moment Regularizer for Gaussian Robust Networks
    • [cs.CV]Blurring the Line Between Structure and Learning to Optimize and Adapt Receptive Fields
    • [cs.CV]Breast Cancer Classification with Ultrasound Images Based on SLIC
    • [cs.CV]Bridging the Domain Gap for Ground-to-Aerial Image Matching
    • [cs.CV]CBHE: Corner-based Building Height Estimation for Complex Street Scene Images
    • [cs.CV]Deep Constrained Dominant Sets for Person Re-identification
    • [cs.CV]Deep Multi-View Learning using Neuron-Wise Correlation-Maximizing Regularizers
    • [cs.CV]Deep Sparse Representation-based Classification
    • [cs.CV]DynamoNet: Dynamic Action and Motion Network
    • [cs.CV]Exploring Object Relation in Mean Teacher for Cross-Domain Detection
    • [cs.CV]GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
    • [cs.CV]HAR-Net: Joint Learning of Hybrid Attention for Single-stage Object Detection
    • [cs.CV]Holistic Large Scale Video Understanding
    • [cs.CV]Indoor dense depth map at drone hovering
    • [cs.CV]JPEG XT Image Compression with Hue Compensation for Two-Layer HDR Coding
    • [cs.CV]LADN: Local Adversarial Disentangling Network for Facial Makeup and De-Makeup
    • [cs.CV]Learning Discriminative Features Via Weights-biased Softmax Loss
    • [cs.CV]Learning the Depths of Moving People by Watching Frozen People
    • [cs.CV]Local Relation Networks for Image Recognition
    • [cs.CV]Making Convolutional Networks Shift-Invariant Again
    • [cs.CV]Multi-Scale Body-Part Mask Guided Attention for Person Re-identification
    • [cs.CV]Multi-scale Cross-form Pyramid Network for Stereo Matching
    • [cs.CV]On guiding video object segmentation
    • [cs.CV]Optimal Approach for Image Recognition using Deep Convolutional Architecture
    • [cs.CV]Out of the Box: A combined approach for handling occlusion in Human Pose Estimation
    • [cs.CV]Pointing Novel Objects in Image Captioning
    • [cs.CV]Reducing Anomaly Detection in Images to Detection in Noise
    • [cs.CV]RepPoints: Point Set Representation for Object Detection
    • [cs.CV]Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation
    • [cs.CV]Skin Cancer Segmentation and Classification with NABLA-N and Inception Recurrent Residual Convolutional Networks
    • [cs.CV]Spatial-Temporal Relation Networks for Multi-Object Tracking
    • [cs.CV]Transferrable Prototypical Networks for Unsupervised Domain Adaptation
    • [cs.CV]Unsupervised deep learning for Bayesian brain MRI segmentation
    • [cs.CV]Unsupervised label noise modeling and loss correction
    • [cs.CV]Web Stereo Video Supervision for Depth Prediction from Dynamic Scenes
    • [cs.CY]Impact of the Digital Transformation: An Online Real-Time Delphi Study
    • [cs.CY]Online Abuse of UK MPs from 2015 to 2019: Working Paper
    • [cs.DB]Declarative Recursive Computation on an RDBMS, or, Why You Should Use a Database For Distributed Machine Learning
    • [cs.DC]Chunkflow: Distributed Hybrid Cloud Processing of Large 3D Images by Convolutional Nets
    • [cs.DC]Distributed Detection of Cliques in Dynamic Networks
    • [cs.DC]Genet: A Quickly Scalable Fat-Tree Overlay for Personal Volunteer Computing using WebRTC
    • [cs.DC]Noidy Conmunixatipn: On the Convergence of the Averaging Population Protocol
    • [cs.DC]On the Complexity of Local Graph Transformations
    • [cs.DC]Performance Prediction for Coarse-Grained Locking
    • [cs.DS]Tell Me What I Need to Know: Succinctly Summarizing Data with Itemsets
    • [cs.GR]How much do you perceive this? An analysis on perceptions of geometric features, personalities and emotions in virtual humans (Extended Version)
    • [cs.IR]Adaptive Collaborative Similarity Learning for Unsupervised Multi-view Feature Selection
    • [cs.IR]Exploring Auxiliary Context: Discrete Semantic Transfer Hashing for Scalable Image Retrieval
    • [cs.IR]Fusion-supervised Deep Cross-modal Hashing
    • [cs.IR]Identifying short-term interests from mobile app adoption pattern
    • [cs.IT]Age of Information in Multicast Networks with Multiple Update Streams
    • [cs.IT]Complexity of URLLC Scheduling and Efficient Approximation Schemes
    • [cs.IT]Compressive Multidimensional Harmonic Retrieval with Prior Knowledge
    • [cs.IT]Learning to Detect an Odd Markov Arm
    • [cs.IT]Linear codes over the ring $\mathbb{Z}_4 + u\mathbb{Z}_4 + v\mathbb{Z}_4 + w\mathbb{Z}_4 + uv\mathbb{Z}_4 + uw\mathbb{Z}_4 + vw\mathbb{Z}_4 + uvw\mathbb{Z}_4$
    • [cs.IT]Multiterminal Secret Key Agreement with Nearly No Discussion
    • [cs.IT]Optimal Downlink Transmission for Cell Free SWIPT Massive MIMO Systems with Active Eavesdropping
    • [cs.IT]Weak-Noise Modulation-Estimation of Vector Parameters
    • [cs.LG]A Bayesian Approach for the Robust Optimisation of Expensive-To-Evaluate Functions
    • [cs.LG]A Robust Approach for Securing Audio Classification Against Adversarial Attacks
    • [cs.LG]Communication trade-offs for synchronized distributed SGD with large step size
    • [cs.LG]D-VAE: A Variational Autoencoder for Directed Acyclic Graphs
    • [cs.LG]Decentralized Multi-Task Learning Based on Extreme Learning Machines
    • [cs.LG]Deep Reinforcement Learning for Optimal Critical Care Pain Management with Morphine using Dueling Double-Deep Q Networks
    • [cs.LG]Discrete Optimal Graph Clustering
    • [cs.LG]Faster and More Accurate Learning with Meta Trace Adaptation
    • [cs.LG]GAN Augmented Text Anomaly Detection with Sequences of Deep Statistics
    • [cs.LG]How You Act Tells a Lot: Privacy-Leakage Attack on Deep Reinforcement Learning
    • [cs.LG]Lipschitz Bandit Optimization with Improved Efficiency
    • [cs.LG]PAN: Path Integral Based Convolution for Deep Graph Neural Networks
    • [cs.LG]Ray Interference: a Source of Plateaus in Deep Reinforcement Learning
    • [cs.LG]Reducing The Search Space For Hyperparameter Optimization Using Group Sparsity
    • [cs.LG]Reviewing Data Access Patterns and Computational Redundancy for Machine Learning Algorithms
    • [cs.LG]Stability and Optimization Error of Stochastic Gradient Descent for Pairwise Learning
    • [cs.LG]Towards Explainable Anticancer Compound Sensitivity Prediction via Multimodal Attention-based Convolutional Encoders
    • [cs.NI]QUIC-FEC: Bringing the benefits of Forward Erasure Correction to QUIC
    • [cs.RO]Dual-Arm In-Hand Manipulation and Regrasping Using Dexterous Manipulation Graphs
    • [cs.RO]Dynamic Walking with Compliance on a Cassie Bipedal Robot
    • [cs.RO]Neural Path Planning: Fixed Time, Near-Optimal Path Generation via Oracle Imitation
    • [cs.RO]NeuroPod: a real-time neuromorphic spiking CPG applied to robotics
    • [cs.RO]Physical Adversarial Textures that Fool Visual Object Tracking
    • [cs.RO]Radar-only ego-motion estimation in difficult settings via graph matching
    • [cs.RO]Safe Reinforcement Learning with Scene Decomposition for Navigating Complex Urban Environments
    • [cs.RO]Sequential Decision Fusion for Environmental Classification in Assistive Walking
    • [cs.SC]Comparing machine learning models to choose the variable ordering for cylindrical algebraic decomposition
    • [cs.SD]An Attentional Neural Network Architecture for Folk Song Classification
    • [cs.SD]Divide and Conquer: A Deep CASA Approach to Talker-independent Monaural Speaker Separation
    • [cs.SI]Generalized Modularity Embedding: a General Framework for Network Embedding
    • [cs.SI]Link Prediction in Multiplex Networks based on Interlayer Similarity
    • [cs.SI]TwitterMancer: Predicting Interactions on Twitter Accurately
    • [econ.EM]Forecasting in Big Data Environments: an Adaptable and Automated Shrinkage Estimation of Neural Networks (AAShNet)
    • [econ.EM]Nonparametric Estimation and Inference in Psychological and Economic Experiments
    • [eess.IV]Combining Anatomical and Functional Networks for Neuropathology Identification: A Case Study on Autism Spectrum Disorder
    • [eess.IV]Deep Iterative Reconstruction for Phase Retrieval
    • [eess.IV]Deep SR-ITM: Joint Learning of Super-resolution and Inverse Tone-Mapping for 4K UHD HDR Applications
    • [eess.IV]Performance of Kriging Based Soft Classification on WiFS/IRS- 1D image using Ground Hyperspectral Signatures
    • [eess.IV]The utility of a convolutional neural network for generating a myelin volume index map from rapid simultaneous relaxometry imaging
    • [eess.IV]Ultrasound segmentation using U-Net: learning from simulated data and testing on real data
    • [math.AP]Prediction with Expert Advice: a PDE Perspective
    • [math.OC]The Commute Trip Sharing Problem
    • [math.PR]CLT for non-Hermitian random band matrices with variance profiles
    • [math.ST]Change Point Estimation in Panel Data with Temporal and Cross-sectional Dependence
    • [math.ST]Prediction bounds for (higher order) total variation regularized least squares
    • [physics.soc-ph]An ensemble of random graphs with identical degree distribution
    • [physics.soc-ph]Random walks on Fibonacci treelike models: emergence of power law
    • [q-bio.QM]Predicting Stroke from Electronic Health Records
    • [q-fin.PM]Continuous-Time Mean-Variance Portfolio Optimization via Reinforcement Learning
    • [quant-ph]A Blahut-Arimoto Type Algorithm for Computing Classical-Quantum Channel Capacity
    • [quant-ph]Message Randomization and Strong Security in Quantum Stabilizer-Based Secret Sharing for Classical Secrets
    • [stat.AP]A Bayesian approach for small area population estimates using multiple administrative records
    • [stat.AP]Amazon Forest Fires Between 2001 and 2006 and Birth Weight in Porto Velho
    • [stat.AP]Crop yield probability density forecasting via quantile random forest and Epanechnikov Kernel function
    • [stat.ME]A Comparison of Methods for Identifying Location Effects in Unreplicated Fractional Factorials in the Presence of Dispersion Effects
    • [stat.ME]Bracketing in the Comparative Interrupted Time-Series Design to Address Concerns about History Interacting with Group: Evaluating Missouri Handgun Purchaser Law
    • [stat.ME]Estimation and inference for area-wise spatial income distributions from grouped data
    • [stat.ME]Nonparametric Pattern-Mixture Models for Inference with Missing Data
    • [stat.ME]State-domain Change Point Detection for Nonlinear Time Series
    • [stat.ML]Time Series Simulation by Conditional Generative Adversarial Net
    • [stat.ML]TreeGrad: Transferring Tree Ensembles to Neural Networks

    ·····································

    • [astro-ph.IM]A Preferential Attachment Model for the Stellar Initial Mass Function
    Jessi Cisewski-Kehe, Grant Weller, Chad Schafer
    http://arxiv.org/abs/1904.11306v1

    • [cs.AI]Assistive System in Conversational Agent for Health Coaching: The CoachAI Approach
    Ahmed Fadhil
    http://arxiv.org/abs/1904.11412v1

    • [cs.AI]Characterization of Glue Variables in CDCL SAT Solving
    Md Solimul Chowdhury, Martin Müller, Jia-Huai You
    http://arxiv.org/abs/1904.11106v1

    • [cs.AI]On Learning to Prove
    Daniel Huang
    http://arxiv.org/abs/1904.11099v1

    • [cs.AI]Reward-Based Deception with Cognitive Bias
    Bo Wu, Murat Cubuktepe, Suda Bharadwaj, Ufuk Topcu
    http://arxiv.org/abs/1904.11454v1

    • [cs.CE]A pressure field model for fast, robust approximation of net contact force and moment between nominally rigid objects
    Ryan Elandt, Evan Drumwright, Michael Sherman, Andy Ruina
    http://arxiv.org/abs/1904.11433v1

    • [cs.CL]Assessing the Tolerance of Neural Machine Translation Systems Against Speech Recognition Errors
    Nicholas Ruiz, Mattia Antonino Di Gangi, Nicola Bertoldi, Marcello Federico
    http://arxiv.org/abs/1904.10997v1

    • [cs.CL]Importance of Copying Mechanism for News Headline Generation
    Ilya Gusev
    http://arxiv.org/abs/1904.11475v1

    • [cs.CL]Phonetically-Oriented Word Error Alignment for Speech Recognition Error Analysis in Speech Translation
    Nicholas Ruiz, Marcello Federico
    http://arxiv.org/abs/1904.11024v1

    • [cs.CL]Terminologies augmented recurrent neural network model for clinical named entity recognition
    Ivan Lerner, Nicolas Paris, Xavier Tannier
    http://arxiv.org/abs/1904.11473v1

    • [cs.CL]The Zero Resource Speech Challenge 2019: TTS without T
    Ewan Dunbar, Robin Algayres, Julien Karadayi, Mathieu Bernard, Juan Benjumea, Xuan-Nga Cao, Lucie Miskic, Charlotte Dugrain, Lucas Ondel, Alan W. Black, Laurent Besacier, Sakriani Sakti, Emmanuel Dupoux
    http://arxiv.org/abs/1904.11469v1

    • [cs.CL]Toponym Identification in Epidemiology Articles — A Deep Learning Approach
    MohammadReza Davari, Leila Kosseim, Tien D. Bui
    http://arxiv.org/abs/1904.11018v1

    • [cs.CV]A Conditional Adversarial Network for Scene Flow Estimation
    Ravi Kumar Thakur, Snehasis Mukherjee
    http://arxiv.org/abs/1904.11163v1

    • [cs.CV]A Deeper Look at Facial Expression Dataset Bias
    Shan Li, Weihong Deng
    http://arxiv.org/abs/1904.11150v1

    • [cs.CV]Analytical Moment Regularizer for Gaussian Robust Networks
    Modar Alfadly, Adel Bibi, Bernard Ghanem
    http://arxiv.org/abs/1904.11005v1

    • [cs.CV]Blurring the Line Between Structure and Learning to Optimize and Adapt Receptive Fields
    Evan Shelhamer, Dequan Wang, Trevor Darrell
    http://arxiv.org/abs/1904.11487v1

    • [cs.CV]Breast Cancer Classification with Ultrasound Images Based on SLIC
    Zhihao Fang, Wanyi Zhang, He Ma
    http://arxiv.org/abs/1904.11322v1

    • [cs.CV]Bridging the Domain Gap for Ground-to-Aerial Image Matching
    Krishna Regmi, Mubarak Shah
    http://arxiv.org/abs/1904.11045v1

    • [cs.CV]CBHE: Corner-based Building Height Estimation for Complex Street Scene Images
    Yunxiang Zhao, Jianzhong Qi, Rui Zhang
    http://arxiv.org/abs/1904.11128v1

    • [cs.CV]Deep Constrained Dominant Sets for Person Re-identification
    Leulseged Tesfaye Alemu, Mubarak Shah, Marcello Pelillo
    http://arxiv.org/abs/1904.11397v1

    • [cs.CV]Deep Multi-View Learning using Neuron-Wise Correlation-Maximizing Regularizers
    Kui Jia, Jiehong Lin, Mingkui Tan, Dacheng Tao
    http://arxiv.org/abs/1904.11151v1

    • [cs.CV]Deep Sparse Representation-based Classification
    Mahdi Abavisani, Vishal M. Patel
    http://arxiv.org/abs/1904.11093v1

    • [cs.CV]DynamoNet: Dynamic Action and Motion Network
    Ali Diba, Vivek Sharma, Luc Van Gool, Rainer Stiefelhagen
    http://arxiv.org/abs/1904.11407v1

    • [cs.CV]Exploring Object Relation in Mean Teacher for Cross-Domain Detection
    Qi Cai, Yingwei Pan, Chong-Wah Ngo, Xinmei Tian, Lingyu Duan, Ting Yao
    http://arxiv.org/abs/1904.11245v1

    • [cs.CV]GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
    Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu
    http://arxiv.org/abs/1904.11492v1

    • [cs.CV]HAR-Net: Joint Learning of Hybrid Attention for Single-stage Object Detection
    Ya-Li Li, Shengjin Wang
    http://arxiv.org/abs/1904.11141v1

    • [cs.CV]Holistic Large Scale Video Understanding
    Ali Diba, Mohsen Fayyaz, Vivek Sharma, Manohar Paluri, Jurgen Gall, Rainer Stiefelhagen, Luc Van Gool
    http://arxiv.org/abs/1904.11451v1

    • [cs.CV]Indoor dense depth map at drone hovering
    Arindam Saha, Soumyadip Maity, Brojeshwar Bhowmick
    http://arxiv.org/abs/1904.11175v1

    • [cs.CV]JPEG XT Image Compression with Hue Compensation for Two-Layer HDR Coding
    Hiroyuki Kobayashi, Hitoshi Kiya
    http://arxiv.org/abs/1904.11315v1

    • [cs.CV]LADN: Local Adversarial Disentangling Network for Facial Makeup and De-Makeup
    Qiao Gu, Guanzhi Wang, Mang Tik Chiu, Yu-Wing Tai, Chi-Keung Tang
    http://arxiv.org/abs/1904.11272v1

    • [cs.CV]Learning Discriminative Features Via Weights-biased Softmax Loss
    XiaoBin Li, WeiQiang Wang
    http://arxiv.org/abs/1904.11138v1

    • [cs.CV]Learning the Depths of Moving People by Watching Frozen People
    Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, William T. Freeman
    http://arxiv.org/abs/1904.11111v1

    • [cs.CV]Local Relation Networks for Image Recognition
    Han Hu, Zheng Zhang, Zhenda Xie, Stephen Lin
    http://arxiv.org/abs/1904.11491v1

    • [cs.CV]Making Convolutional Networks Shift-Invariant Again
    Richard Zhang
    http://arxiv.org/abs/1904.11486v1

    • [cs.CV]Multi-Scale Body-Part Mask Guided Attention for Person Re-identification
    Honglong Cai, Zhiguan Wang, Jinxing Cheng
    http://arxiv.org/abs/1904.11041v1

    • [cs.CV]Multi-scale Cross-form Pyramid Network for Stereo Matching
    Zhidong Zhu, Mingyi He, Yuchao Dai, Zhibo Rao, Bo Li
    http://arxiv.org/abs/1904.11309v1

    • [cs.CV]On guiding video object segmentation
    Diego Ortego, Kevin McGuinness, Juan C. SanMiguel, Eric Arazo, José M. Martínez, Noel E. O’Connor
    http://arxiv.org/abs/1904.11256v1

    • [cs.CV]Optimal Approach for Image Recognition using Deep Convolutional Architecture
    Parth Shah, Vishvajit Bakrola, Supriya Pati
    http://arxiv.org/abs/1904.11187v1

    • [cs.CV]Out of the Box: A combined approach for handling occlusion in Human Pose Estimation
    Rohit Jena
    http://arxiv.org/abs/1904.11157v1

    • [cs.CV]Pointing Novel Objects in Image Captioning
    Yehao Li, Ting Yao, Yingwei Pan, Hongyang Chao, Tao Mei
    http://arxiv.org/abs/1904.11251v1

    • [cs.CV]Reducing Anomaly Detection in Images to Detection in Noise
    Axel Davy, Thibaud Ehret, Jean-Michel Morel, Mauricio Delbracio
    http://arxiv.org/abs/1904.11276v1

    • [cs.CV]RepPoints: Point Set Representation for Object Detection
    Ze Yang, Shaohui Liu, Han Hu, Liwei Wang, Stephen Lin
    http://arxiv.org/abs/1904.11490v1

    • [cs.CV]Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation
    Gregory P. Meyer, Jake Charland, Darshan Hegde, Ankit Laddha, Carlos Vallespi-Gonzalez
    http://arxiv.org/abs/1904.11466v1

    • [cs.CV]Skin Cancer Segmentation and Classification with NABLA-N and Inception Recurrent Residual Convolutional Networks
    Md Zahangir Alom, Theus Aspiras, Tarek M. Taha, Vijayan K. Asari
    http://arxiv.org/abs/1904.11126v1

    • [cs.CV]Spatial-Temporal Relation Networks for Multi-Object Tracking
    Jiarui Xu, Yue Cao, Zheng Zhang, Han Hu
    http://arxiv.org/abs/1904.11489v1

    • [cs.CV]Transferrable Prototypical Networks for Unsupervised Domain Adaptation
    Yingwei Pan, Ting Yao, Yehao Li, Yu Wang, Chong-Wah Ngo, Tao Mei
    http://arxiv.org/abs/1904.11227v1

    • [cs.CV]Unsupervised deep learning for Bayesian brain MRI segmentation
    Adrian V. Dalca, Evan Yu, Polina Golland, Bruce Fischl, Mert R. Sabuncu, Juan Eugenio Iglesias
    http://arxiv.org/abs/1904.11319v1

    • [cs.CV]Unsupervised label noise modeling and loss correction
    Eric Arazo, Diego Ortego, Paul Albert, Noel E. O’Connor, Kevin McGuinness
    http://arxiv.org/abs/1904.11238v1

    • [cs.CV]Web Stereo Video Supervision for Depth Prediction from Dynamic Scenes
    Chaoyang Wang, Simon Lucey, Federico Perazzi, Oliver Wang
    http://arxiv.org/abs/1904.11112v1

    • [cs.CY]Impact of the Digital Transformation: An Online Real-Time Delphi Study
    Florian Cech, Hilda Tellioglu
    http://arxiv.org/abs/1904.11411v1

    • [cs.CY]Online Abuse of UK MPs from 2015 to 2019: Working Paper
    Mark A. Greenwood, Mehmet E. Bakir, Genevieve Gorrell, Xingyi Song, Ian Roberts, Kalina Bontcheva
    http://arxiv.org/abs/1904.11230v1

    • [cs.DB]Declarative Recursive Computation on an RDBMS, or, Why You Should Use a Database For Distributed Machine Learning
    Dimitrije Jankov, Shangyu Luo, Binhang Yuan, Zhuhua Cai, Jia Zou, Chris Jermaine, Zekai J. Gao
    http://arxiv.org/abs/1904.11121v1

    • [cs.DC]Chunkflow: Distributed Hybrid Cloud Processing of Large 3D Images by Convolutional Nets
    Jingpeng Wu, William M. Silversmith, H. Sebastian Seung
    http://arxiv.org/abs/1904.10489v2

    • [cs.DC]Distributed Detection of Cliques in Dynamic Networks
    Matthias Bonne, Keren Censor-Hillel
    http://arxiv.org/abs/1904.11440v1

    • [cs.DC]Genet: A Quickly Scalable Fat-Tree Overlay for Personal Volunteer Computing using WebRTC
    Erick Lavoie, Laurie Hendren, Fréderic Desprez, Miguel Correia
    http://arxiv.org/abs/1904.11402v1

    • [cs.DC]Noidy Conmunixatipn: On the Convergence of the Averaging Population Protocol
    Frederik Mallmann-Trenn, Yannic Maus, Dominik Pajak
    http://arxiv.org/abs/1904.10984v1

    • [cs.DC]On the Complexity of Local Graph Transformations
    Christian Scheideler, Alexander Setzer
    http://arxiv.org/abs/1904.11395v1

    • [cs.DC]Performance Prediction for Coarse-Grained Locking
    Vitaly Aksenov Dan Alistarh Petr Kuznetsov
    http://arxiv.org/abs/1904.11323v1

    • [cs.DS]Tell Me What I Need to Know: Succinctly Summarizing Data with Itemsets
    Michael Mampaey, Nikolaj Tatti, Jilles Vreeken
    http://arxiv.org/abs/1904.11134v1

    • [cs.GR]How much do you perceive this? An analysis on perceptions of geometric features, personalities and emotions in virtual humans (Extended Version)
    Victor Araujo, Rodolfo Migon Favaretto, Paulo Knob, Soraia Raupp Musse, Felipe Vilanova, Angelo Brandelli Costa
    http://arxiv.org/abs/1904.11084v1

    • [cs.IR]Adaptive Collaborative Similarity Learning for Unsupervised Multi-view Feature Selection
    Xiao Dong, Lei Zhu, Xuemeng Song, Jingjing Li, Zhiyong Cheng
    http://arxiv.org/abs/1904.11228v1

    • [cs.IR]Exploring Auxiliary Context: Discrete Semantic Transfer Hashing for Scalable Image Retrieval
    Lei Zhu, Zi Huang, Zhihui Li, Liang Xie, Heng Tao Shen
    http://arxiv.org/abs/1904.11207v1

    • [cs.IR]Fusion-supervised Deep Cross-modal Hashing
    Li Wang, Lei Zhu, En Yu, Jiande Sun, Huaxiang Zhang
    http://arxiv.org/abs/1904.11171v1

    • [cs.IR]Identifying short-term interests from mobile app adoption pattern
    Bharat Gaind, Nitish Varshney, Shubham Goel, Akash Mondal
    http://arxiv.org/abs/1904.11388v1

    • [cs.IT]Age of Information in Multicast Networks with Multiple Update Streams
    Baturalp Buyukates, Alkan Soysal, Sennur Ulukus
    http://arxiv.org/abs/1904.11481v1

    • [cs.IT]Complexity of URLLC Scheduling and Efficient Approximation Schemes
    Apostolos Destounis, Georgios S. Paschos
    http://arxiv.org/abs/1904.11278v1

    • [cs.IT]Compressive Multidimensional Harmonic Retrieval with Prior Knowledge
    Yinchuan Li, Xu Zhang, Zegang Ding, Xiaodong Wang
    http://arxiv.org/abs/1904.11404v1

    • [cs.IT]Learning to Detect an Odd Markov Arm
    P. N. Karthik, Rajesh Sundaresan
    http://arxiv.org/abs/1904.11361v1

    • [cs.IT]Linear codes over the ring $\mathbb{Z}_4 + u\mathbb{Z}_4 + v\mathbb{Z}_4 + w\mathbb{Z}_4 + uv\mathbb{Z}_4 + uw\mathbb{Z}_4 + vw\mathbb{Z}_4 + uvw\mathbb{Z}_4$
    Bustomi, Aditya Purwa Santika, Djoko Suprijanto
    http://arxiv.org/abs/1904.11117v1

    • [cs.IT]Multiterminal Secret Key Agreement with Nearly No Discussion
    Chung Chan, Manuj Mukherjee, Praneeth Kumar Vippathalla, Qiaoqiao Zhou
    http://arxiv.org/abs/1904.11383v1

    • [cs.IT]Optimal Downlink Transmission for Cell Free SWIPT Massive MIMO Systems with Active Eavesdropping
    Mahmoud Alageli, Aissa Ikhlef, Fahad Alsifiany, Mohammed A. M. Abdullah, Gaojie Chen, Jonathon Chambers
    http://arxiv.org/abs/1904.11033v1

    • [cs.IT]Weak-Noise Modulation-Estimation of Vector Parameters
    Neri Merhav
    http://arxiv.org/abs/1904.11178v1

    • [cs.LG]A Bayesian Approach for the Robust Optimisation of Expensive-To-Evaluate Functions
    Nicholas D. Sanders, Richard M. Everson, Jonathan E. Fieldsend, Alma A. M. Rahat
    http://arxiv.org/abs/1904.11416v1

    • [cs.LG]A Robust Approach for Securing Audio Classification Against Adversarial Attacks
    Mohammad Esmaeilpour, Patrick Cardinal, Alessandro Lameiras Koerich
    http://arxiv.org/abs/1904.10990v1

    • [cs.LG]Communication trade-offs for synchronized distributed SGD with large step size
    Kumar Kshitij Patel, Aymeric Dieuleveut
    http://arxiv.org/abs/1904.11325v1

    • [cs.LG]D-VAE: A Variational Autoencoder for Directed Acyclic Graphs
    Muhan Zhang, Shali Jiang, Zhicheng Cui, Roman Garnett, Yixin Chen
    http://arxiv.org/abs/1904.11088v1

    • [cs.LG]Decentralized Multi-Task Learning Based on Extreme Learning Machines
    Yu Ye, Ming Xiao, Mikael Skoglund
    http://arxiv.org/abs/1904.11366v1

    • [cs.LG]Deep Reinforcement Learning for Optimal Critical Care Pain Management with Morphine using Dueling Double-Deep Q Networks
    Daniel Lopez-Martinez, Patrick Eschenfeldt, Sassan Ostvar, Myles Ingram, Chin Hur, Rosalind Picard
    http://arxiv.org/abs/1904.11115v1

    • [cs.LG]Discrete Optimal Graph Clustering
    Yudong Han, Lei Zhu, Zhiyong Cheng, Jingjing Li, Xiaobai Liu
    http://arxiv.org/abs/1904.11266v1

    • [cs.LG]Faster and More Accurate Learning with Meta Trace Adaptation
    Mingde Zhao, Ian Porada
    http://arxiv.org/abs/1904.11439v1

    • [cs.LG]GAN Augmented Text Anomaly Detection with Sequences of Deep Statistics
    Mariem Ben Fadhel, Kofi Nyarko
    http://arxiv.org/abs/1904.11094v1

    • [cs.LG]How You Act Tells a Lot: Privacy-Leakage Attack on Deep Reinforcement Learning
    Xinlei Pan, Weiyao Wang, Xiaoshuai Zhang, Bo Li, Jinfeng Yi, Dawn Song
    http://arxiv.org/abs/1904.11082v1

    • [cs.LG]Lipschitz Bandit Optimization with Improved Efficiency
    Xu Zhu, David B. Dunson
    http://arxiv.org/abs/1904.11131v1

    • [cs.LG]PAN: Path Integral Based Convolution for Deep Graph Neural Networks
    Zheng Ma, Ming Li, Yuguang Wang
    http://arxiv.org/abs/1904.10996v1

    • [cs.LG]Ray Interference: a Source of Plateaus in Deep Reinforcement Learning
    Tom Schaul, Diana Borsa, Joseph Modayil, Razvan Pascanu
    http://arxiv.org/abs/1904.11455v1

    • [cs.LG]Reducing The Search Space For Hyperparameter Optimization Using Group Sparsity
    Minsu Cho, Chinmay Hegde
    http://arxiv.org/abs/1904.11095v1

    • [cs.LG]Reviewing Data Access Patterns and Computational Redundancy for Machine Learning Algorithms
    Imen Chakroun, Tom Vander Aa, Tom Ashby
    http://arxiv.org/abs/1904.11203v1

    • [cs.LG]Stability and Optimization Error of Stochastic Gradient Descent for Pairwise Learning
    Wei Shen, Zhenhuan Yang, Yiming Ying, Xiaoming Yuan
    http://arxiv.org/abs/1904.11316v1

    • [cs.LG]Towards Explainable Anticancer Compound Sensitivity Prediction via Multimodal Attention-based Convolutional Encoders
    Matteo Manica, Ali Oskooei, Jannis Born, Vigneshwari Subramanian, Julio Sáez-Rodríguez, María Rodríguez Martínez
    http://arxiv.org/abs/1904.11223v1

    • [cs.NI]QUIC-FEC: Bringing the benefits of Forward Erasure Correction to QUIC
    François Michel, Quentin De Coninck, Olivier Bonaventure
    http://arxiv.org/abs/1904.11326v1

    • [cs.RO]Dual-Arm In-Hand Manipulation and Regrasping Using Dexterous Manipulation Graphs
    Silvia Cruciani, Kaiyu Hang, Christian Smith, Danica Kragic
    http://arxiv.org/abs/1904.11382v1

    • [cs.RO]Dynamic Walking with Compliance on a Cassie Bipedal Robot
    Jacob Reher, Wen-Loong Ma, Aaron D. Ames
    http://arxiv.org/abs/1904.11104v1

    • [cs.RO]Neural Path Planning: Fixed Time, Near-Optimal Path Generation via Oracle Imitation
    Mayur J. Bency, Ahmed H. Qureshi, Michael C. Yip
    http://arxiv.org/abs/1904.11102v1

    • [cs.RO]NeuroPod: a real-time neuromorphic spiking CPG applied to robotics
    Daniel Gutierrez-Galan, Juan Pedro Dominguez-Morales, Fernando Perez-Pena, Alejandro Linares-Barranco
    http://arxiv.org/abs/1904.11243v1

    • [cs.RO]Physical Adversarial Textures that Fool Visual Object Tracking
    Rey Reza Wiyatno, Anqi Xu
    http://arxiv.org/abs/1904.11042v1

    • [cs.RO]Radar-only ego-motion estimation in difficult settings via graph matching
    Sarah H. Cen, Paul Newman
    http://arxiv.org/abs/1904.11476v1

    • [cs.RO]Safe Reinforcement Learning with Scene Decomposition for Navigating Complex Urban Environments
    Maxime Bouton, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer
    http://arxiv.org/abs/1904.11483v1

    • [cs.RO]Sequential Decision Fusion for Environmental Classification in Assistive Walking
    Kuangen Zhang, Wen Zhang, Wentao Xiao, Haiyuan Liu, Clarence W. de Silva, Chenglong Fu
    http://arxiv.org/abs/1904.11152v1

    • [cs.SC]Comparing machine learning models to choose the variable ordering for cylindrical algebraic decomposition
    Matthew England, Dorian Florescu
    http://arxiv.org/abs/1904.11061v1

    • [cs.SD]An Attentional Neural Network Architecture for Folk Song Classification
    Aitor Arronte-Alvarez, Francisco Gomez-Martin
    http://arxiv.org/abs/1904.11074v1

    • [cs.SD]Divide and Conquer: A Deep CASA Approach to Talker-independent Monaural Speaker Separation
    Yuzhou Liu, DeLiang Wang
    http://arxiv.org/abs/1904.11148v1

    • [cs.SI]Generalized Modularity Embedding: a General Framework for Network Embedding
    Cheng-Shang Chang, Ching-Chu Huang, Chia-Tai Chang, Duan-Shin Lee, Ping-En Lu
    http://arxiv.org/abs/1904.11027v1

    • [cs.SI]Link Prediction in Multiplex Networks based on Interlayer Similarity
    Shaghayegh Najari, Mostafa Salehi, Vahid Ranjbar, Mahdi Jalili
    http://arxiv.org/abs/1904.10169v2

    • [cs.SI]TwitterMancer: Predicting Interactions on Twitter Accurately
    Konstantinos Sotiropoulos, John W. Byers, Polyvios Pratikakis, Charalampos E. Tsourakakis
    http://arxiv.org/abs/1904.11119v1

    • [econ.EM]Forecasting in Big Data Environments: an Adaptable and Automated Shrinkage Estimation of Neural Networks (AAShNet)
    Ali Habibnia, Esfandiar Maasoumi
    http://arxiv.org/abs/1904.11145v1

    • [econ.EM]Nonparametric Estimation and Inference in Psychological and Economic Experiments
    Raffaello Seri, Samuele Centorrino, Michele Bernasconi
    http://arxiv.org/abs/1904.11156v1

    • [eess.IV]Combining Anatomical and Functional Networks for Neuropathology Identification: A Case Study on Autism Spectrum Disorder
    Sarah Itani, Dorina Thanou
    http://arxiv.org/abs/1904.11296v1

    • [eess.IV]Deep Iterative Reconstruction for Phase Retrieval
    Çağatay Işıl, Figen S. Oktem, Aykut Koç
    http://arxiv.org/abs/1904.11301v1

    • [eess.IV]Deep SR-ITM: Joint Learning of Super-resolution and Inverse Tone-Mapping for 4K UHD HDR Applications
    Soo Ye Kim, Jihyong Oh, Munchurl Kim
    http://arxiv.org/abs/1904.11176v1

    • [eess.IV]Performance of Kriging Based Soft Classification on WiFS/IRS- 1D image using Ground Hyperspectral Signatures
    Sumanta Kumar Das, Randhir Singh
    http://arxiv.org/abs/1904.11258v1

    • [eess.IV]The utility of a convolutional neural network for generating a myelin volume index map from rapid simultaneous relaxometry imaging
    Yasuhiko Tachibana, Akifumi Hagiwara, Masaaki Hori, Jeff Kershaw, Misaki Nakazawa, Tokuhiko Omatsu, Riwa Kishimoto, Kazumasa Yokoyama, Nobutaka Hattori, Shigeki Aoki, Tatsuya Higashi, Takayuki Obata
    http://arxiv.org/abs/1904.10960v1

    • [eess.IV]Ultrasound segmentation using U-Net: learning from simulated data and testing on real data
    Bahareh Behboodi, Hassan Rivaz
    http://arxiv.org/abs/1904.11031v1

    • [math.AP]Prediction with Expert Advice: a PDE Perspective
    Nadejda Drenska, Robert V. Kohn
    http://arxiv.org/abs/1904.11401v1

    • [math.OC]The Commute Trip Sharing Problem
    Mohd Hafiz Hasan, Pascal Van Hentenryck, Antoine Legrain
    http://arxiv.org/abs/1904.11017v1

    • [math.PR]CLT for non-Hermitian random band matrices with variance profiles
    Indrajit Jana
    http://arxiv.org/abs/1904.11098v1

    • [math.ST]Change Point Estimation in Panel Data with Temporal and Cross-sectional Dependence
    Monika Bhattacharjee, Moulinath Banerjee, George Michailidis
    http://arxiv.org/abs/1904.11101v1

    • [math.ST]Prediction bounds for (higher order) total variation regularized least squares
    Sara van de Geer, Francesco Ortelli
    http://arxiv.org/abs/1904.10871v2

    • [physics.soc-ph]An ensemble of random graphs with identical degree distribution
    Fei Ma, Xiaoming Wang, Ping Wang
    http://arxiv.org/abs/1904.11208v1

    • [physics.soc-ph]Random walks on Fibonacci treelike models: emergence of power law
    Fei Ma, Ping Wang, Bing Yao
    http://arxiv.org/abs/1904.11314v1

    • [q-bio.QM]Predicting Stroke from Electronic Health Records
    Chidozie Shamrock Nwosu, Soumyabrata Dev, Peru Bhardwaj, Bharadwaj Veeravalli, Deepu John
    http://arxiv.org/abs/1904.11280v1

    • [q-fin.PM]Continuous-Time Mean-Variance Portfolio Optimization via Reinforcement Learning
    Haoran Wang, Xun Yu Zhou
    http://arxiv.org/abs/1904.11392v1

    • [quant-ph]A Blahut-Arimoto Type Algorithm for Computing Classical-Quantum Channel Capacity
    Haobo Li, Ning Cai
    http://arxiv.org/abs/1904.11188v1

    • [quant-ph]Message Randomization and Strong Security in Quantum Stabilizer-Based Secret Sharing for Classical Secrets
    Ryutaroh Matsumoto
    http://arxiv.org/abs/1904.11114v1

    • [stat.AP]A Bayesian approach for small area population estimates using multiple administrative records
    Jairo Fuquene, Andryu Mendoza, Cesar Cristancho, Mariana Ospina
    http://arxiv.org/abs/1904.11144v1

    • [stat.AP]Amazon Forest Fires Between 2001 and 2006 and Birth Weight in Porto Velho
    Taiane Schaedler Prass, Sílvia Regina Costa Lopes, José G. Dórea, Rejane C. Marques, Katiane G. Brandão
    http://arxiv.org/abs/1904.10118v2

    • [stat.AP]Crop yield probability density forecasting via quantile random forest and Epanechnikov Kernel function
    Samuel Asante Gyamerah, Philip Ngare, Dennis Ikpe
    http://arxiv.org/abs/1904.10959v1

    • [stat.ME]A Comparison of Methods for Identifying Location Effects in Unreplicated Fractional Factorials in the Presence of Dispersion Effects
    Thomas M. Loughin, Yan Zhang
    http://arxiv.org/abs/1904.11087v1

    • [stat.ME]Bracketing in the Comparative Interrupted Time-Series Design to Address Concerns about History Interacting with Group: Evaluating Missouri Handgun Purchaser Law
    Raiden B. Hasegawa, Dylan S. Small, Daniel W Webster
    http://arxiv.org/abs/1904.11430v1

    • [stat.ME]Estimation and inference for area-wise spatial income distributions from grouped data
    Shonosuke Sugasawa, Genya Kobayashi, Yuki Kawakubo
    http://arxiv.org/abs/1904.11109v1

    • [stat.ME]Nonparametric Pattern-Mixture Models for Inference with Missing Data
    Yen-Chi Chen, Mauricio Sadinle
    http://arxiv.org/abs/1904.11085v1

    • [stat.ME]State-domain Change Point Detection for Nonlinear Time Series
    Yan Cui, Jun Yang, Zhou Zhou
    http://arxiv.org/abs/1904.11075v1

    • [stat.ML]Time Series Simulation by Conditional Generative Adversarial Net
    Rao Fu, Jie Chen, Shutian Zeng, Yiping Zhuang, Agus Sudjianto
    http://arxiv.org/abs/1904.11419v1

    • [stat.ML]TreeGrad: Transferring Tree Ensembles to Neural Networks
    Chapman Siu
    http://arxiv.org/abs/1904.11132v1