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
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• [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