cond-mat.dis-nn - 无序系统与神经网络

    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.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 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.SI - 社交网络与信息网络 cs.SY - 系统与控制 econ.EM - 计量经济学 eess.AS - 语音处理 eess.SP - 信号处理 math.CO - 组合数学 math.DS - 动力系统 math.PR - 概率 math.ST - 统计理论 nlin.CD - 混沌动力学 q-bio.NC - 神经元与认知 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cond-mat.dis-nn]Learning a Gauge Symmetry with Neural Networks
    • [cs.AI]A Pattern-Hierarchy Classifier for Reduced Teaching
    • [cs.AI]Efficiently Exploring Ordering Problems through Conflict-directed Search
    • [cs.AI]Method for Constructing Artificial Intelligence Player with Abstraction to Markov Decision Processes in Multiplayer Game of Mahjong
    • [cs.AI]Theoretical Foundations of Defeasible Description Logics
    • [cs.CG]Persistence Curves: A canonical framework for summarizing persistence diagrams
    • [cs.CL]A Repository of Conversational Datasets
    • [cs.CL]Be Concise and Precise: Synthesizing Open-Domain Entity Descriptions from Facts
    • [cs.CL]CITE: A Corpus of Image-Text Discourse Relations
    • [cs.CL]Causality Extraction based on Self-Attentive BiLSTM-CRF with Transferred Embeddings
    • [cs.CL]Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction
    • [cs.CL]Latent Code and Text-based Generative Adversarial Networks for Soft-text Generation
    • [cs.CL]Learning Twitter User Sentiments on Climate Change with Limited Labeled Data
    • [cs.CL]Legal Area Classification: A Comparative Study of Text Classifiers on Singapore Supreme Court Judgments
    • [cs.CL]Multi-Head Multi-Layer Attention to Deep Language Representations for Grammatical Error Detection
    • [cs.CL]Natural Language Semantics With Pictures: Some Language & Vision Datasets and Potential Uses for Computational Semantics
    • [cs.CL]Positional Encoding to Control Output Sequence Length
    • [cs.CL]Sameness Attracts, Novelty Disturbs, but Outliers Flourish in Fanfiction Online
    • [cs.CL]Something’s Brewing! Early Prediction of Controversy-causing Posts from Discussion Features
    • [cs.CL]Subjective Assessment of Text Complexity: A Dataset for German Language
    • [cs.CL]UTFPR at SemEval-2019 Task 5: Hate Speech Identification with Recurrent Neural Networks
    • [cs.CL]Unsupervised Discovery of Multimodal Links in Multi-Image, Multi-Sentence Documents
    • [cs.CL]Unsupervised acoustic unit discovery for speech synthesis using discrete latent-variable neural networks
    • [cs.CR]CryptoNN: Training Neural Networks over Encrypted Data
    • [cs.CR]Helping IT and OT Defenders Collaborate
    • [cs.CV]A Bayesian Perspective on the Deep Image Prior
    • [cs.CV]A Deep Journey into Super-resolution: A survey
    • [cs.CV]A Deep Optimization Approach for Image Deconvolution
    • [cs.CV]A Realistic Dataset and Baseline Temporal Model for Early Drowsiness Detection
    • [cs.CV]A deep learning model for early prediction of Alzheimer’s disease dementia based on hippocampal MRI
    • [cs.CV]AT-GAN: A Generative Attack Model for Adversarial Transferring on Generative Adversarial Nets
    • [cs.CV]Active Adversarial Domain Adaptation
    • [cs.CV]Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression
    • [cs.CV]Automatic adaptation of object detectors to new domains using self-training
    • [cs.CV]Brain Tumor Segmentation on MRI with Missing Modalities
    • [cs.CV]Characterizing the Variability in Face Recognition Accuracy Relative to Race
    • [cs.CV]Co-Separating Sounds of Visual Objects
    • [cs.CV]Complexer-YOLO: Real-Time 3D Object Detection and Tracking on Semantic Point Clouds
    • [cs.CV]Cryo-Electron Microscopy Image Analysis Using Multi-Frequency Vector Diffusion Maps
    • [cs.CV]Custom Video-Oculography Device and Its Application to Fourth Purkinje Image Detection during Saccades
    • [cs.CV]Decoupling Localization and Classification in Single Shot Temporal Action Detection
    • [cs.CV]Deep Neural Network Based Hyperspectral Pixel Classification With Factorized Spectral-Spatial Feature Representation
    • [cs.CV]Detecting the Unexpected via Image Resynthesis
    • [cs.CV]Disentangling Pose from Appearance in Monochrome Hand Images
    • [cs.CV]Double Transfer Learning for Breast Cancer Histopathologic Image Classification
    • [cs.CV]End-to-End Denoising of Dark Burst Images Using Recurrent Fully Convolutional Networks
    • [cs.CV]Fashion-AttGAN: Attribute-Aware Fashion Editing with Multi-Objective GAN
    • [cs.CV]Fast Inference in Capsule Networks Using Accumulated Routing Coefficients
    • [cs.CV]Focus Is All You Need: Loss Functions For Event-based Vision
    • [cs.CV]GradMask: Reduce Overfitting by Regularizing Saliency
    • [cs.CV]LBVCNN: Local Binary Volume Convolutional Neural Network for Facial Expression Recognition from Image Sequences
    • [cs.CV]Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting
    • [cs.CV]Long-Term Video Generation of Multiple FuturesUsing Human Poses
    • [cs.CV]Low-Power Computer Vision: Status, Challenges, Opportunities
    • [cs.CV]Matrix and tensor decompositions for training binary neural networks
    • [cs.CV]NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection
    • [cs.CV]Objects as Points
    • [cs.CV]Patch alignment manifold matting
    • [cs.CV]Photofeeler-D3: A Neural Network with Voter Modeling for Dating Photo Rating
    • [cs.CV]Point cloud registration: matching a maximal common subset on pointclouds with noise (with 2D implementation)
    • [cs.CV]Polarimetric Thermal to Visible Face Verification via Self-Attention Guided Synthesis
    • [cs.CV]Real Image Denoising with Feature Attention
    • [cs.CV]Relation-Shape Convolutional Neural Network for Point Cloud Analysis
    • [cs.CV]Semantically Aligned Bias Reducing Zero Shot Learning
    • [cs.CV]Shared Predictive Cross-Modal Deep Quantization
    • [cs.CV]Shortest Paths in HSI Space for Color Texture Classification
    • [cs.CV]Single Pixel Reconstruction for One-stage Instance Segmentation
    • [cs.CV]SparseMask: Differentiable Connectivity Learning for Dense Image Prediction
    • [cs.CV]Super Resolution Convolutional Neural Network Models for Enhancing Resolution of Rock Micro-CT Images
    • [cs.CV]Temporal Cycle-Consistency Learning
    • [cs.CV]The ALOS Dataset for Advert Localization in Outdoor Scenes
    • [cs.CV]Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning
    • [cs.CV]Visual Relationship Detection with Language prior and Softmax
    • [cs.CV]Weakly Supervised Gaussian Networks for Action Detection
    • [cs.CV]What I See Is What You See: Joint Attention Learning for First and Third Person Video Co-analysis
    • [cs.CY]How Widely Can Prediction Models be Generalized? An Analysis of Performance Prediction in Blended Courses
    • [cs.CY]Predicting Student Performance Based on Online Study Habits: A Study of Blended Courses
    • [cs.CY]Rethinking Resource Allocation in Science
    • [cs.CY]Scaling Networking Education with Open Educational Resources
    • [cs.DC]Distributed Computing in the Asynchronous LOCAL model
    • [cs.DC]Efficient Distributed Community Detection in the Stochastic Block Model
    • [cs.DC]Exploiting Computation Power of Blockchain for Biomedical Image Segmentation
    • [cs.DC]Just-in-Time Dynamic-Batching
    • [cs.DC]Parallel Balanced Allocations: The Heavily Loaded Case
    • [cs.DC]The DEEP-ER project: I/O and resiliency extensions for the Cluster-Booster architecture
    • [cs.DL]Female scholars need to achieve more for equal public recognition
    • [cs.DL]Go Wide, Go Deep: Quantifying the Impact of Scientific Papers through Influence Dispersion Trees
    • [cs.DS]Distance-generalized Core Decomposition
    • [cs.DS]Dynamic Packed Compact Tries Revisited
    • [cs.IR]A Medical Literature Search System for Identifying Effective Treatments in Precision Medicine
    • [cs.IR]Advanced Customer Activity Prediction based on Deep Hierarchic Encoder-Decoders
    • [cs.IR]An Evaluation Framework for Interactive Recommender System
    • [cs.IR]Compressed Indexes for Fast Search of Semantic Data
    • [cs.IR]Short Text Topic Modeling Techniques, Applications, and Performance: A Survey
    • [cs.IR]Tracing Forum Posts to MOOC Content using Topic Analysis
    • [cs.IR]Understanding the Behaviors of BERT in Ranking
    • [cs.IT]Channel Correlation Diversity in MU-MIMO Systems - Analysis and Measurements
    • [cs.IT]Complex Field-Trainable ISTA for Linear and Nonlinear Inverse Problems
    • [cs.IT]Content Caching and Delivery in Wireless Radio Access Networks
    • [cs.IT]Heterogeneous Computation across Heterogeneous Workers
    • [cs.IT]Kerdock Codes Determine Unitary 2-Designs
    • [cs.IT]Non-Stochastic Hypothesis Testing with Application to Privacy Against Hypothesis-Testing Adversary
    • [cs.IT]One-adhesive polymatroids
    • [cs.IT]Optimal Multi-View Video Transmission in Multiuser Wireless Networks by Exploiting Natural and View Synthesis-Enabled Multicast Opportunities
    • [cs.IT]Outage-Optimized Deployment of UAVs
    • [cs.IT]Practical Functional Regenerating Codes for Broadcast Repair of Multiple Nodes
    • [cs.IT]Reinforcement Learning for Nested Polar Code Construction
    • [cs.LG]ASD-DiagNet: A hybrid learning approach for detection of Autism Spectrum Disorder using fMRI data
    • [cs.LG]Are Self-Driving Cars Secure? Evasion Attacks against Deep Neural Networks for Steering Angle Prediction
    • [cs.LG]Convolutional Neural Networks for Classification of Alzheimer’s Disease: Overview and Reproducible Evaluation
    • [cs.LG]Counterfactual Visual Explanations
    • [cs.LG]DSTP-RNN: a dual-stage two-phase attention-based recurrent neural networks for long-term and multivariate time series prediction
    • [cs.LG]Discriminative Regression Machine: A Classifier for High-Dimensional Data or Imbalanced Data
    • [cs.LG]Efficient Supervision for Robot Learning via Imitation, Simulation, and Adaptation
    • [cs.LG]End-to-End Robotic Reinforcement Learning without Reward Engineering
    • [cs.LG]HARK Side of Deep Learning — From Grad Student Descent to Automated Machine Learning
    • [cs.LG]Introduction to Multi-Armed Bandits
    • [cs.LG]Learning 3D Navigation Protocols on Touch Interfaces with Cooperative Multi-Agent Reinforcement Learning
    • [cs.LG]Multimodal Subspace Support Vector Data Description
    • [cs.LG]Object-Oriented Dynamics Learning through Multi-Level Abstraction
    • [cs.LG]On the Mathematical Understanding of ResNet with Feynman Path Integral
    • [cs.LG]Predicting Fluid Intelligence of Children using T1-weighted MR Images and a StackNet
    • [cs.LG]Predicting Time-to-Failure of Plasma Etching Equipment using Machine Learning
    • [cs.LG]RES-PCA: A Scalable Approach to Recovering Low-rank Matrices
    • [cs.LG]Simion Zoo: A Workbench for Distributed Experimentation with Reinforcement Learning for Continuous Control Tasks
    • [cs.LG]Three scenarios for continual learning
    • [cs.LG]swTVM: Exploring the Automated Compilation for Deep Learning on Sunway Architecture
    • [cs.LO]An extended description logic system with knowledge element based on ALC
    • [cs.NE]Applying Partial-ACO to Large-scale Vehicle Fleet Optimisation
    • [cs.NE]Maximizing Drift is Not Optimal for Solving OneMax
    • [cs.NE]Online Selection of CMA-ES Variants
    • [cs.NE]The 1/5-th Rule with Rollbacks: On Self-Adjustment of the Population Size in the $(1+(λ,λ))$ GA
    • [cs.NI]A Solution for Dynamic Spectrum Management in Mission-Critical UAV Networks
    • [cs.RO]Combining RGB and Points to Predict Grasping Region for Robotic Bin-Picking
    • [cs.RO]Energy-Efficient Slithering Gait Exploration for a Snake-like Robot based on Reinforcement Learning
    • [cs.RO]Large-scale 3D Mapping of Sub-arctic Forests
    • [cs.RO]Learning Probabilistic Multi-Modal Actor Models for Vision-Based Robotic Grasping
    • [cs.RO]Learning to Navigate in Indoor Environments: from Memorizing to Reasoning
    • [cs.RO]Multi-Objective Autonomous Braking System using Naturalistic Dataset
    • [cs.RO]Optimization Model for Planning Precision Grasps with Multi-Fingered Hands
    • [cs.RO]Predicting GNSS satellite visibility from densepoint clouds
    • [cs.RO]Rigid Body Motion Prediction with Planar Non-convex Contact Patch
    • [cs.RO]Speed and Separation Monitoring using on-robot Time—of—Flight laser—ranging sensor arrays
    • [cs.RO]Suction Grasp Region Prediction using Self-supervised Learning for Object Picking in Dense Clutter
    • [cs.SD]Audio Denoising with Deep Network Priors
    • [cs.SD]Improved Speech Separation with Time-and-Frequency Cross-domain Joint Embedding and Clustering
    • [cs.SI]A Dynamic Embedding Model of the Media Landscape
    • [cs.SI]Incentivized Blockchain-based Social Media Platforms: A Case Study of Steemit
    • [cs.SI]Investigating the Effect of Attributes on User Trust in Social Media
    • [cs.SI]Selection Bias in News Coverage: Learning it, Fighting it
    • [cs.SI]The Digital Architectures of Social Media: Comparing Political Campaigning on Facebook, Twitter, Instagram, and Snapchat in the 2016 U.S. Election
    • [cs.SY]Robust nonlinear control of close formation flight
    • [econ.EM]Subgeometric ergodicity and $β$-mixing
    • [econ.EM]Subgeometrically ergodic autoregressions
    • [eess.AS]I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences
    • [eess.AS]RHR-Net: A Residual Hourglass Recurrent Neural Network for Speech Enhancement
    • [eess.AS]SpeechYOLO: Detection and Localization of Speech Objects
    • [eess.AS]Spoof detection using x-vector and feature switching
    • [eess.SP]Cramer-Rao Bound for Estimation After Model Selection and its Application to Sparse Vector Estimation
    • [math.CO]Quaternary Hermitian linear complementary dual codes
    • [math.DS]Kernel canonical correlation analysis approximates operators for the detection of coherent structures in dynamical data
    • [math.PR]First passage time for Slepian process with linear barrier
    • [math.PR]Limit theorems for U-statistics of Bernoulli data
    • [math.ST]Logarithm of ratios of two order statistics and regularly varying tails
    • [math.ST]Multidimensional Scaling: Infinite Metric Measure Spaces
    • [nlin.CD]Persistent Homology of Complex Networks for Dynamic State Detection
    • [q-bio.NC]Critical elements for connectivity analysis of brain networks
    • [stat.AP]How to apply multiple imputation in propensity score matching with partially observed confounders: a simulation study and practical recommendations
    • [stat.AP]Metrics for Graph Comparison: A Practitioner’s Guide
    • [stat.AP]Robust Response-Adaptive Randomization Design
    • [stat.AP]Why Are the ARIMA and SARIMA not Sufficient
    • [stat.CO]Approximate Bayesian Inference via Sparse grid Quadrature Evaluation for Hierarchical Models
    • [stat.ME]A Global Bias-Correction DC Method for Biased Estimation under Memory Constraint
    • [stat.ME]Bayesian Mixed Effects Model Estimation under Informative Sampling
    • [stat.ME]Constraints in Random Effects Age-Period-Cohort Models
    • [stat.ME]Distribution and correlation free two-sample test of high-dimensional means
    • [stat.ME]Helping Effects Against Curse of Dimensionality in Threshold Factor Models for Matrix Time Series
    • [stat.ME]Modeling Network Populations via Graph Distances
    • [stat.ME]Scalable and Efficient Hypothesis Testing with Random Forests
    • [stat.ML]Global Error Bounds and Linear Convergence for Gradient-Based Algorithms for Trend Filtering and $\ell_{1}$-Convex Clustering
    • [stat.ML]Multiple kernel learning for integrative consensus clustering of genomic datasets
    • [stat.ML]Pólygamma Data Augmentation to address Non-conjugacy in the Bayesian Estimation of Mixed Multinomial Logit Models
    • [stat.ML]Risk Bounds for Learning Multiple Components with Permutation-Invariant Losses

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

    • [cond-mat.dis-nn]Learning a Gauge Symmetry with Neural Networks
    Aurélien Decelle, Victor Martin-Mayor, Beatriz Seoane
    http://arxiv.org/abs/1904.07637v1

    • [cs.AI]A Pattern-Hierarchy Classifier for Reduced Teaching
    Kieran Greer
    http://arxiv.org/abs/1904.07786v1

    • [cs.AI]Efficiently Exploring Ordering Problems through Conflict-directed Search
    Jingkai Chen, Cheng Fang, David Wang, Andrew Wang, Brian Williams
    http://arxiv.org/abs/1904.07366v1

    • [cs.AI]Method for Constructing Artificial Intelligence Player with Abstraction to Markov Decision Processes in Multiplayer Game of Mahjong
    Moyuru Kurita, Kunihito Hoki
    http://arxiv.org/abs/1904.07491v1

    • [cs.AI]Theoretical Foundations of Defeasible Description Logics
    Katarina Britz, Giovanni Casini, Thomas Meyer, Kody Moodley, Uli Sattler, Ivan Varzinczak
    http://arxiv.org/abs/1904.07559v1

    • [cs.CG]Persistence Curves: A canonical framework for summarizing persistence diagrams
    Yu-Min Chung, Austin Lawson
    http://arxiv.org/abs/1904.07768v1

    • [cs.CL]A Repository of Conversational Datasets
    Matthew Henderson, Paweł Budzianowski, Iñigo Casanueva, Sam Coope, Daniela Gerz, Girish Kumar, Nikola Mrkšić, Georgios Spithourakis, Pei-Hao Su, Ivan Vulić, Tsung-Hsien Wen
    http://arxiv.org/abs/1904.06472v1

    • [cs.CL]Be Concise and Precise: Synthesizing Open-Domain Entity Descriptions from Facts
    Rajarshi Bhowmik, Gerard de Melo
    http://arxiv.org/abs/1904.07391v1

    • [cs.CL]CITE: A Corpus of Image-Text Discourse Relations
    Malihe Alikhani, Sreyasi Nag Chowdhury, Gerard de Melo, Matthew Stone
    http://arxiv.org/abs/1904.06286v2

    • [cs.CL]Causality Extraction based on Self-Attentive BiLSTM-CRF with Transferred Embeddings
    Zhaoning Li, Qi Li, Xiaotian Zou, Jiangtao Ren
    http://arxiv.org/abs/1904.07629v1

    • [cs.CL]Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction
    Shun Zheng, Wei Cao, Wei Xu, Jiang Bian
    http://arxiv.org/abs/1904.07535v1

    • [cs.CL]Latent Code and Text-based Generative Adversarial Networks for Soft-text Generation
    Md. Akmal Haidar, Mehdi Rezagholizadeh, Alan Do-Omri, Ahmad Rashid
    http://arxiv.org/abs/1904.07293v1

    • [cs.CL]Learning Twitter User Sentiments on Climate Change with Limited Labeled Data
    Allison Koenecke, Jordi Feliu-Fabà
    http://arxiv.org/abs/1904.07342v1

    • [cs.CL]Legal Area Classification: A Comparative Study of Text Classifiers on Singapore Supreme Court Judgments
    Jerrold Soh Tsin Howe, Lim How Khang, Ian Ernst Chai
    http://arxiv.org/abs/1904.06470v1

    • [cs.CL]Multi-Head Multi-Layer Attention to Deep Language Representations for Grammatical Error Detection
    Masahiro Kaneko, Mamoru Komachi
    http://arxiv.org/abs/1904.07334v1

    • [cs.CL]Natural Language Semantics With Pictures: Some Language & Vision Datasets and Potential Uses for Computational Semantics
    David Schlangen
    http://arxiv.org/abs/1904.07318v1

    • [cs.CL]Positional Encoding to Control Output Sequence Length
    Sho Takase, Naoaki Okazaki
    http://arxiv.org/abs/1904.07418v1

    • [cs.CL]Sameness Attracts, Novelty Disturbs, but Outliers Flourish in Fanfiction Online
    Elise Jing, Simon DeDeo, Yong-Yeol Ahn
    http://arxiv.org/abs/1904.07741v1

    • [cs.CL]Something’s Brewing! Early Prediction of Controversy-causing Posts from Discussion Features
    Jack Hessel, Lillian Lee
    http://arxiv.org/abs/1904.07372v1

    • [cs.CL]Subjective Assessment of Text Complexity: A Dataset for German Language
    Babak Naderi, Salar Mohtaj, Kaspar Ensikat, Sebastian Möller
    http://arxiv.org/abs/1904.07733v1

    • [cs.CL]UTFPR at SemEval-2019 Task 5: Hate Speech Identification with Recurrent Neural Networks
    Gustavo Henrique Paetzold, Shervin Malmasi, Marcos Zampieri
    http://arxiv.org/abs/1904.07839v1

    • [cs.CL]Unsupervised Discovery of Multimodal Links in Multi-Image, Multi-Sentence Documents
    Jack Hessel, Lillian Lee, David Mimno
    http://arxiv.org/abs/1904.07826v1

    • [cs.CL]Unsupervised acoustic unit discovery for speech synthesis using discrete latent-variable neural networks
    Ryan Eloff, André Nortje, Benjamin van Niekerk, Avashna Govender, Leanne Nortje, Arnu Pretorius, Elan van Biljon, Ewald van der Westhuizen, Lisa van Staden, Herman Kamper
    http://arxiv.org/abs/1904.07556v1

    • [cs.CR]CryptoNN: Training Neural Networks over Encrypted Data
    Runhua Xu, James B. D. Joshi, Chao Li
    http://arxiv.org/abs/1904.07303v1

    • [cs.CR]Helping IT and OT Defenders Collaborate
    Glenn A. Fink, Penny McKenzie
    http://arxiv.org/abs/1904.07374v1

    • [cs.CV]A Bayesian Perspective on the Deep Image Prior
    Zezhou Cheng, Matheus Gadelha, Subhransu Maji, Daniel Sheldon
    http://arxiv.org/abs/1904.07457v1

    • [cs.CV]A Deep Journey into Super-resolution: A survey
    Saeed Anwar, Salman Khan, Nick Barnes
    http://arxiv.org/abs/1904.07523v1

    • [cs.CV]A Deep Optimization Approach for Image Deconvolution
    Zhijian Luo, Siyu Chen, Yuntao Qian
    http://arxiv.org/abs/1904.07516v1

    • [cs.CV]A Realistic Dataset and Baseline Temporal Model for Early Drowsiness Detection
    Reza Ghoddoosian, Marnim Galib, Vassilis Athitsos
    http://arxiv.org/abs/1904.07312v1

    • [cs.CV]A deep learning model for early prediction of Alzheimer’s disease dementia based on hippocampal MRI
    Hongming Li, Mohamad Habes, David A. Wolk, Yong Fan
    http://arxiv.org/abs/1904.07282v1

    • [cs.CV]AT-GAN: A Generative Attack Model for Adversarial Transferring on Generative Adversarial Nets
    Xiaosen Wang, Kun He, Chuan Guo, Kilian Q. Weinberger, John E. Hopcroft
    http://arxiv.org/abs/1904.07793v1

    • [cs.CV]Active Adversarial Domain Adaptation
    Jong-Chyi Su, Yi-Hsuan Tsai, Kihyuk Sohn, Buyu Liu, Subhransu Maji, Manmohan Chandraker
    http://arxiv.org/abs/1904.07848v1

    • [cs.CV]Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression
    Xinyao Wang, Liefeng Bo, Li Fuxin
    http://arxiv.org/abs/1904.07399v1

    • [cs.CV]Automatic adaptation of object detectors to new domains using self-training
    Aruni RoyChowdhury, Prithvijit Chakrabarty, Ashish Singh, SouYoung Jin, Huaizu Jiang, Liangliang Cao, Erik Learned-Miller
    http://arxiv.org/abs/1904.07305v1

    • [cs.CV]Brain Tumor Segmentation on MRI with Missing Modalities
    Yan Shen, Mingchen Gao
    http://arxiv.org/abs/1904.07290v1

    • [cs.CV]Characterizing the Variability in Face Recognition Accuracy Relative to Race
    Krishnapriya K. S, Kushal Vangara, Michael C. King, Vitor Albiero, Kevin Bowyer
    http://arxiv.org/abs/1904.07325v1

    • [cs.CV]Co-Separating Sounds of Visual Objects
    Ruohan Gao, Kristen Grauman
    http://arxiv.org/abs/1904.07750v1

    • [cs.CV]Complexer-YOLO: Real-Time 3D Object Detection and Tracking on Semantic Point Clouds
    Martin Simon, Karl Amende, Andrea Kraus, Jens Honer, Timo Sämann, Hauke Kaulbersch, Stefan Milz, Horst Michael Gross
    http://arxiv.org/abs/1904.07537v1

    • [cs.CV]Cryo-Electron Microscopy Image Analysis Using Multi-Frequency Vector Diffusion Maps
    Yifeng Fan, Zhizhen Zhao
    http://arxiv.org/abs/1904.07772v1

    • [cs.CV]Custom Video-Oculography Device and Its Application to Fourth Purkinje Image Detection during Saccades
    Evgeniy Abdulin, Lee Friedman, Oleg Komogortsev
    http://arxiv.org/abs/1904.07361v1

    • [cs.CV]Decoupling Localization and Classification in Single Shot Temporal Action Detection
    Yupan Huang, Qi Dai, Yutong Lu
    http://arxiv.org/abs/1904.07442v1

    • [cs.CV]Deep Neural Network Based Hyperspectral Pixel Classification With Factorized Spectral-Spatial Feature Representation
    Jingzhou Chen, Siyu Chen, Peilin Zhou, Yuntao Qian
    http://arxiv.org/abs/1904.07461v1

    • [cs.CV]Detecting the Unexpected via Image Resynthesis
    Krzysztof Lis, Krishna Nakka, Mathieu Salzmann, Pascal Fua
    http://arxiv.org/abs/1904.07595v1

    • [cs.CV]Disentangling Pose from Appearance in Monochrome Hand Images
    Yikang Li, Chris Twigg, Yuting Ye, Lingling Tao, Xiaogang Wang
    http://arxiv.org/abs/1904.07528v1

    • [cs.CV]Double Transfer Learning for Breast Cancer Histopathologic Image Classification
    Jonathan de Matos, Alceu de S. Britto Jr., Luiz E. S. Oliveira, Alessandro L. Koerich
    http://arxiv.org/abs/1904.07834v1

    • [cs.CV]End-to-End Denoising of Dark Burst Images Using Recurrent Fully Convolutional Networks
    Di Zhao, Lan Ma, Songnan Li, Dahai Yu
    http://arxiv.org/abs/1904.07483v1

    • [cs.CV]Fashion-AttGAN: Attribute-Aware Fashion Editing with Multi-Objective GAN
    Qing Ping, Jiangbo Yuan, Bing Wu, Wanying Ding
    http://arxiv.org/abs/1904.07460v1

    • [cs.CV]Fast Inference in Capsule Networks Using Accumulated Routing Coefficients
    Zhen Zhao, Ashley Kleinhans, Gursharan Sandhu, Ishan Patel, K. P. Unnikrishnan
    http://arxiv.org/abs/1904.07304v1

    • [cs.CV]Focus Is All You Need: Loss Functions For Event-based Vision
    Guillermo Gallego, Mathias Gehrig, Davide Scaramuzza
    http://arxiv.org/abs/1904.07235v1

    • [cs.CV]GradMask: Reduce Overfitting by Regularizing Saliency
    Becks Simpson, Francis Dutil, Yoshua Bengio, Joseph Paul Cohen
    http://arxiv.org/abs/1904.07478v1

    • [cs.CV]LBVCNN: Local Binary Volume Convolutional Neural Network for Facial Expression Recognition from Image Sequences
    Sudhakar Kumawat, Manisha Verma, Shanmuganathan Raman
    http://arxiv.org/abs/1904.07647v1

    • [cs.CV]Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting
    Yanhong Zeng, Jianlong Fu, Hongyang Chao, Baining Guo
    http://arxiv.org/abs/1904.07475v1

    • [cs.CV]Long-Term Video Generation of Multiple FuturesUsing Human Poses
    Naoya Fushishita, Antonio Tejero-de-Pablos, Yusuke Mukuta, Tatsuya Harada
    http://arxiv.org/abs/1904.07538v1

    • [cs.CV]Low-Power Computer Vision: Status, Challenges, Opportunities
    Sergei Alyamkin, Matthew Ardi, Alexander C. Berg, Achille Brighton, Bo Chen, Yiran Chen, Hsin-Pai Cheng, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Abhinav Goel, Alexander Goncharenko, Xuyang Guo, Soonhoi Ha, Andrew Howard, Xiao Hu, Yuanjun Huang, Donghyun Kang, Jaeyoun Kim, Jong Gook Ko, Alexander Kondratyev, Junhyeok Lee, Seungjae Lee, Suwoong Lee, Zichao Li, Zhiyu Liang, Juzheng Liu, Xin Liu, Yang Lu, Yung-Hsiang Lu, Deeptanshu Malik, Hong Hanh Nguyen, Eunbyung Park, Denis Repin, Liang Shen, Tao Sheng, Fei Sun, David Svitov, George K. Thiruvathukal, Baiwu Zhang, Jingchi Zhang, Xiaopeng Zhang, Shaojie Zhuo
    http://arxiv.org/abs/1904.07714v1

    • [cs.CV]Matrix and tensor decompositions for training binary neural networks
    Adrian Bulat, Jean Kossaifi, Georgios Tzimiropoulos, Maja Pantic
    http://arxiv.org/abs/1904.07852v1

    • [cs.CV]NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection
    Golnaz Ghiasi, Tsung-Yi Lin, Ruoming Pang, Quoc V. Le
    http://arxiv.org/abs/1904.07392v1

    • [cs.CV]Objects as Points
    Xingyi Zhou, Dequan Wang, Philipp Krähenbühl
    http://arxiv.org/abs/1904.07850v1

    • [cs.CV]Patch alignment manifold matting
    Xuelong Li, Kang Liu, Yongsheng Dong, Dacheng Tao
    http://arxiv.org/abs/1904.07588v1

    • [cs.CV]Photofeeler-D3: A Neural Network with Voter Modeling for Dating Photo Rating
    Agastya Kalra, Ben Peterson
    http://arxiv.org/abs/1904.07435v1

    • [cs.CV]Point cloud registration: matching a maximal common subset on pointclouds with noise (with 2D implementation)
    Jorge Arce Garro, David Jiménez López
    http://arxiv.org/abs/1904.07454v1

    • [cs.CV]Polarimetric Thermal to Visible Face Verification via Self-Attention Guided Synthesis
    Xing Di, Benjamin S. Riggan, Shuowen Hu, Nathaniel J. Short, Vishal M. Patel
    http://arxiv.org/abs/1904.07344v1

    • [cs.CV]Real Image Denoising with Feature Attention
    Saeed Anwar, Nick Barnes
    http://arxiv.org/abs/1904.07396v1

    • [cs.CV]Relation-Shape Convolutional Neural Network for Point Cloud Analysis
    Yongcheng Liu, Bin Fan, Shiming Xiang, Chunhong Pan
    http://arxiv.org/abs/1904.07601v1

    • [cs.CV]Semantically Aligned Bias Reducing Zero Shot Learning
    Akanksha Paul, Narayanan C. Krishnan, Prateek Munjal
    http://arxiv.org/abs/1904.07659v1

    • [cs.CV]Shared Predictive Cross-Modal Deep Quantization
    Erkun Yang, Cheng Deng, Chao Li, Wei Liu, Jie Li, Dacheng Tao
    http://arxiv.org/abs/1904.07488v1

    • [cs.CV]Shortest Paths in HSI Space for Color Texture Classification
    Mingxin Jin, Yongsheng Dong, Lintao Zheng, Lingfei Liang, Tianyu Wang, Hongyan zhang
    http://arxiv.org/abs/1904.07429v1

    • [cs.CV]Single Pixel Reconstruction for One-stage Instance Segmentation
    Jinghan Yao, Zhou Yu, Jun Yu, Dacheng Tao
    http://arxiv.org/abs/1904.07426v1

    • [cs.CV]SparseMask: Differentiable Connectivity Learning for Dense Image Prediction
    Huikai Wu, Junge Zhang, Kaiqi Huang
    http://arxiv.org/abs/1904.07642v1

    • [cs.CV]Super Resolution Convolutional Neural Network Models for Enhancing Resolution of Rock Micro-CT Images
    Ying Da Wang, Ryan Armstrong, Peyman Mostaghimi
    http://arxiv.org/abs/1904.07470v1

    • [cs.CV]Temporal Cycle-Consistency Learning
    Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman
    http://arxiv.org/abs/1904.07846v1

    • [cs.CV]The ALOS Dataset for Advert Localization in Outdoor Scenes
    Soumyabrata Dev, Murhaf Hossari, Matthew Nicholson, Killian McCabe, Atul Nautiyal, Clare Conran, Jian Tang, Wei Xu, François Pitié
    http://arxiv.org/abs/1904.07776v1

    • [cs.CV]Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning
    Pedro Hermosilla, Tobias Ritschel, Timo Ropinski
    http://arxiv.org/abs/1904.07615v1

    • [cs.CV]Visual Relationship Detection with Language prior and Softmax
    Jaewon Jung, Jongyoul Park
    http://arxiv.org/abs/1904.07798v1

    • [cs.CV]Weakly Supervised Gaussian Networks for Action Detection
    Basura Fernando, Cheston Tan Yin Chet, Hakan Bilen
    http://arxiv.org/abs/1904.07774v1

    • [cs.CV]What I See Is What You See: Joint Attention Learning for First and Third Person Video Co-analysis
    Huangyue Yu, Minjie Cai, Yunfei Liu, Feng Lu
    http://arxiv.org/abs/1904.07424v1

    • [cs.CY]How Widely Can Prediction Models be Generalized? An Analysis of Performance Prediction in Blended Courses
    Niki Gitinabard, Yiqiao Xu, Sarah Heckman, Tiffany Barnes, Collin F. Lynch
    http://arxiv.org/abs/1904.07328v1

    • [cs.CY]Predicting Student Performance Based on Online Study Habits: A Study of Blended Courses
    Adithya Sheshadri, Niki Gitinabard, Collin F. Lynch, Tiffany Barnes, Sarah Heckman
    http://arxiv.org/abs/1904.07331v1

    • [cs.CY]Rethinking Resource Allocation in Science
    Johan Bollen, Stephen Carpenter, Jane Lubchenco, Marten Scheffer
    http://arxiv.org/abs/1904.07645v1

    • [cs.CY]Scaling Networking Education with Open Educational Resources
    Olivier Bonaventure, Quentin De Coninck, Fabien Duchene, Mathieu Jadin, Francois Michel, Maxime Piraux, Chantal Poncin, Olivier Tilmans
    http://arxiv.org/abs/1904.06910v1

    • [cs.DC]Distributed Computing in the Asynchronous LOCAL model
    Carole Delporte-Gallet, Hugues Fauconnier, Pierre Fraigniaud, Mikaël Rabie
    http://arxiv.org/abs/1904.07664v1

    • [cs.DC]Efficient Distributed Community Detection in the Stochastic Block Model
    Reza Fathi, Anisur Rahaman Molla, Gopal Pandurangan
    http://arxiv.org/abs/1904.07494v1

    • [cs.DC]Exploiting Computation Power of Blockchain for Biomedical Image Segmentation
    Boyang Li, Changhao Chenli, Xiaowei Xu, Taeho Jung, Yiyu Shi
    http://arxiv.org/abs/1904.07349v1

    • [cs.DC]Just-in-Time Dynamic-Batching
    Sheng Zha, Ziheng Jiang, Haibin Lin, Zhi Zhang
    http://arxiv.org/abs/1904.07421v1

    • [cs.DC]Parallel Balanced Allocations: The Heavily Loaded Case
    Christoph Lenzen, Merav Parter, Eylon Yogev
    http://arxiv.org/abs/1904.07532v1

    • [cs.DC]The DEEP-ER project: I/O and resiliency extensions for the Cluster-Booster architecture
    Anke Kreuzer, Norbert Eicker, Jorge Amaya, Raphael Leger, Estela Suarez
    http://arxiv.org/abs/1904.07725v1

    • [cs.DL]Female scholars need to achieve more for equal public recognition
    Menno H. Schellekens, Floris Holstege, Taha Yasseri
    http://arxiv.org/abs/1904.06310v2

    • [cs.DL]Go Wide, Go Deep: Quantifying the Impact of Scientific Papers through Influence Dispersion Trees
    Dattatreya Mohapatra, Abhishek Maiti, Sumit Bhatia, Tanmoy Chakraborty
    http://arxiv.org/abs/1904.07579v1

    • [cs.DS]Distance-generalized Core Decomposition
    Francesco Bonchi, Arijit Khan, Lorenzo Severini
    http://arxiv.org/abs/1904.07262v1

    • [cs.DS]Dynamic Packed Compact Tries Revisited
    Kazuya Tsuruta, Dominik Köppl, Shunsuke Kanda, Yuto Nakashima, Shunsuke Inenaga, Hideo Bannai, Masayuki Takeda
    http://arxiv.org/abs/1904.07467v1

    • [cs.IR]A Medical Literature Search System for Identifying Effective Treatments in Precision Medicine
    Jiaming Qu
    http://arxiv.org/abs/1904.07428v1

    • [cs.IR]Advanced Customer Activity Prediction based on Deep Hierarchic Encoder-Decoders
    Andrei Damian, Laurentiu Piciu, Sergiu Turlea, Nicolae Tapus
    http://arxiv.org/abs/1904.07687v1

    • [cs.IR]An Evaluation Framework for Interactive Recommender System
    Oznur Alkan, Elizabeth M. Daly, Adi Botea
    http://arxiv.org/abs/1904.07765v1

    • [cs.IR]Compressed Indexes for Fast Search of Semantic Data
    Raffaele Perego, Giulio Ermanno Pibiri, Rossano Venturini
    http://arxiv.org/abs/1904.07619v1

    • [cs.IR]Short Text Topic Modeling Techniques, Applications, and Performance: A Survey
    Qiang Jipeng, Qian Zhenyu, Li Yun, Yuan Yunhao, Wu Xindong
    http://arxiv.org/abs/1904.07695v1

    • [cs.IR]Tracing Forum Posts to MOOC Content using Topic Analysis
    Alexander William Wong, Ken Wong, Abram Hindle
    http://arxiv.org/abs/1904.07307v1

    • [cs.IR]Understanding the Behaviors of BERT in Ranking
    Yifan Qiao, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu
    http://arxiv.org/abs/1904.07531v1

    • [cs.IT]Channel Correlation Diversity in MU-MIMO Systems - Analysis and Measurements
    Harsh Tataria, Seun Sangodoyin, Andreas F. Molisch, Peter J. Smith, Michail Matthaiou, Jianzhong Zhang, Reiner S. Thomä
    http://arxiv.org/abs/1904.07726v1

    • [cs.IT]Complex Field-Trainable ISTA for Linear and Nonlinear Inverse Problems
    Satoshi Takabe, Tadashi Wadayama
    http://arxiv.org/abs/1904.07409v1

    • [cs.IT]Content Caching and Delivery in Wireless Radio Access Networks
    Meixia Tao, Deniz Gündüz, Fan Xu, Joan S. Pujol Roig
    http://arxiv.org/abs/1904.07599v1

    • [cs.IT]Heterogeneous Computation across Heterogeneous Workers
    Yuxuan Sun, Junlin Zhao, Sheng Zhou, Deniz Gündüz
    http://arxiv.org/abs/1904.07490v1

    • [cs.IT]Kerdock Codes Determine Unitary 2-Designs
    Trung Can, Narayanan Rengaswamy, Robert Calderbank, Henry D. Pfister
    http://arxiv.org/abs/1904.07842v1

    • [cs.IT]Non-Stochastic Hypothesis Testing with Application to Privacy Against Hypothesis-Testing Adversary
    Farhad Farokhi
    http://arxiv.org/abs/1904.07377v1

    • [cs.IT]One-adhesive polymatroids
    Laszlo Csirmaz
    http://arxiv.org/abs/1904.07565v1

    • [cs.IT]Optimal Multi-View Video Transmission in Multiuser Wireless Networks by Exploiting Natural and View Synthesis-Enabled Multicast Opportunities
    Wei Xu, Ying Cui, Zhi Liu
    http://arxiv.org/abs/1904.07676v1

    • [cs.IT]Outage-Optimized Deployment of UAVs
    Maryam Shabanighazikelayeh, Erdem Koyuncu
    http://arxiv.org/abs/1904.07368v1

    • [cs.IT]Practical Functional Regenerating Codes for Broadcast Repair of Multiple Nodes
    Nitish Mital, Katina Kralevska, Cong Ling, Deniz Gunduz
    http://arxiv.org/abs/1904.07273v1

    • [cs.IT]Reinforcement Learning for Nested Polar Code Construction
    Lingchen Huang, Huazi Zhang, Rong Li, Yiqun Ge, Jun Wang
    http://arxiv.org/abs/1904.07511v1

    • [cs.LG]ASD-DiagNet: A hybrid learning approach for detection of Autism Spectrum Disorder using fMRI data
    Taban Eslami, Vahid Mirjalili, Alvis Fong, Angela Laird, Fahad Saeed
    http://arxiv.org/abs/1904.07577v1

    • [cs.LG]Are Self-Driving Cars Secure? Evasion Attacks against Deep Neural Networks for Steering Angle Prediction
    Alesia Chernikova, Alina Oprea, Cristina Nita-Rotaru, BaekGyu Kim
    http://arxiv.org/abs/1904.07370v1

    • [cs.LG]Convolutional Neural Networks for Classification of Alzheimer’s Disease: Overview and Reproducible Evaluation
    Junhao Wen, Elina Thibeau-Sutre, Jorge Samper-Gonzalez, Alexandre Routier, Simona Bottani, Stanley Durrleman, Ninon Burgos, Olivier Colliot
    http://arxiv.org/abs/1904.07773v1

    • [cs.LG]Counterfactual Visual Explanations
    Yash Goyal, Ziyan Wu, Jan Ernst, Dhruv Batra, Devi Parikh, Stefan Lee
    http://arxiv.org/abs/1904.07451v1

    • [cs.LG]DSTP-RNN: a dual-stage two-phase attention-based recurrent neural networks for long-term and multivariate time series prediction
    Yeqi Liu, Chuanyang Gong, Ling Yang, Yingyi Chen
    http://arxiv.org/abs/1904.07464v1

    • [cs.LG]Discriminative Regression Machine: A Classifier for High-Dimensional Data or Imbalanced Data
    Chong Peng, Qiang Cheng
    http://arxiv.org/abs/1904.07496v1

    • [cs.LG]Efficient Supervision for Robot Learning via Imitation, Simulation, and Adaptation
    Markus Wulfmeier
    http://arxiv.org/abs/1904.07346v1

    • [cs.LG]End-to-End Robotic Reinforcement Learning without Reward Engineering
    Avi Singh, Larry Yang, Kristian Hartikainen, Chelsea Finn, Sergey Levine
    http://arxiv.org/abs/1904.07854v1

    • [cs.LG]HARK Side of Deep Learning — From Grad Student Descent to Automated Machine Learning
    Oguzhan Gencoglu, Mark van Gils, Esin Guldogan, Chamin Morikawa, Mehmet Süzen, Mathias Gruber, Jussi Leinonen, Heikki Huttunen
    http://arxiv.org/abs/1904.07633v1

    • [cs.LG]Introduction to Multi-Armed Bandits
    Aleksandrs Slivkins
    http://arxiv.org/abs/1904.07272v1

    • [cs.LG]Learning 3D Navigation Protocols on Touch Interfaces with Cooperative Multi-Agent Reinforcement Learning
    Quentin Debard, Jilles Steeve Dibangoye, Stéphane Canu, Christian Wolf
    http://arxiv.org/abs/1904.07802v1

    • [cs.LG]Multimodal Subspace Support Vector Data Description
    Fahad Sohrab, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj
    http://arxiv.org/abs/1904.07698v1

    • [cs.LG]Object-Oriented Dynamics Learning through Multi-Level Abstraction
    Guangxiang Zhu, Jianhao Wang, Zhizhou Ren, Chongjie Zhang
    http://arxiv.org/abs/1904.07482v1

    • [cs.LG]On the Mathematical Understanding of ResNet with Feynman Path Integral
    Minghao Yin, Xiu Li, Yongbing Zhang, Shiqi Wang
    http://arxiv.org/abs/1904.07568v1

    • [cs.LG]Predicting Fluid Intelligence of Children using T1-weighted MR Images and a StackNet
    Po-Yu Kao, Angela Zhang, Michael Goebel, Jefferson W. Chen, B. S. Manjunath
    http://arxiv.org/abs/1904.07387v1

    • [cs.LG]Predicting Time-to-Failure of Plasma Etching Equipment using Machine Learning
    Anahid Jalali, Clemens Heistracher, Alexander Schindler, Bernhard Haslhofer, Tanja Nemeth, Robert Glawar, Wilfried Sihn, Peter De Boer
    http://arxiv.org/abs/1904.07686v1

    • [cs.LG]RES-PCA: A Scalable Approach to Recovering Low-rank Matrices
    Chong Peng, Chenglizhao Chen, Zhao Kang, Jianbo Li, Qiang Cheng
    http://arxiv.org/abs/1904.07497v1

    • [cs.LG]Simion Zoo: A Workbench for Distributed Experimentation with Reinforcement Learning for Continuous Control Tasks
    Borja Fernandez-Gauna, Manuel Graña, Roland S. Zimmermann
    http://arxiv.org/abs/1904.07817v1

    • [cs.LG]Three scenarios for continual learning
    Gido M. van de Ven, Andreas S. Tolias
    http://arxiv.org/abs/1904.07734v1

    • [cs.LG]swTVM: Exploring the Automated Compilation for Deep Learning on Sunway Architecture
    Changxi Liu, Hailong Yang, Rujun Sun, Zhongzhi Luan, Depei Qian
    http://arxiv.org/abs/1904.07404v1

    • [cs.LO]An extended description logic system with knowledge element based on ALC
    Bin Wen, Jianhou Gan, Juan L. G. Guirao, Wei Gao
    http://arxiv.org/abs/1904.07469v1

    • [cs.NE]Applying Partial-ACO to Large-scale Vehicle Fleet Optimisation
    Darren M. Chitty, Elizabeth Wanner, Rakhi Parmar, Peter R. Lewis
    http://arxiv.org/abs/1904.07636v1

    • [cs.NE]Maximizing Drift is Not Optimal for Solving OneMax
    Nathan Buskulic, Carola Doerr
    http://arxiv.org/abs/1904.07818v1

    • [cs.NE]Online Selection of CMA-ES Variants
    Diederick Vermetten, Sander van Rijn, Thomas Bäck, Carola Doerr
    http://arxiv.org/abs/1904.07801v1

    • [cs.NE]The 1/5-th Rule with Rollbacks: On Self-Adjustment of the Population Size in the $(1+(λ,λ))$ GA
    Anton Bassin, Maxim Buzdalov
    http://arxiv.org/abs/1904.07284v1

    • [cs.NI]A Solution for Dynamic Spectrum Management in Mission-Critical UAV Networks
    Alireza Shamsoshoara, Mehrdad Khaledi, Fatemeh Afghah, Abolfazl Razi, Jonathan Ashdown, Kurt Turck
    http://arxiv.org/abs/1904.07380v1

    • [cs.RO]Combining RGB and Points to Predict Grasping Region for Robotic Bin-Picking
    Quanquan Shao, Jie Hu
    http://arxiv.org/abs/1904.07394v1

    • [cs.RO]Energy-Efficient Slithering Gait Exploration for a Snake-like Robot based on Reinforcement Learning
    Zhenshan Bing, Christian Lemke, Zhuangyi Jiang, Kai Huang, Alois Knoll
    http://arxiv.org/abs/1904.07788v1

    • [cs.RO]Large-scale 3D Mapping of Sub-arctic Forests
    Philippe Babin, Philippe Dandurand, Vladimír Kubelka, Philippe Giguère, François Pomerleau
    http://arxiv.org/abs/1904.07814v1

    • [cs.RO]Learning Probabilistic Multi-Modal Actor Models for Vision-Based Robotic Grasping
    Mengyuan Yan, Adrian Li, Mrinal Kalakrishnan, Peter Pastor
    http://arxiv.org/abs/1904.07319v1

    • [cs.RO]Learning to Navigate in Indoor Environments: from Memorizing to Reasoning
    Liulong Ma, Yanjie Liu, Jiao Chen, Dong Jin
    http://arxiv.org/abs/1904.06933v2

    • [cs.RO]Multi-Objective Autonomous Braking System using Naturalistic Dataset
    Rafael Vasquez, Bilal Farooq
    http://arxiv.org/abs/1904.07705v1

    • [cs.RO]Optimization Model for Planning Precision Grasps with Multi-Fingered Hands
    Yongxiang Fan, Xinghao Zhu, Masayoshi Tomizuka
    http://arxiv.org/abs/1904.07332v1

    • [cs.RO]Predicting GNSS satellite visibility from densepoint clouds
    Philippe Dandurand, Philippe Babin, Vladimır Kubelka, Philippe Giguère, François Pomerleau
    http://arxiv.org/abs/1904.07837v1

    • [cs.RO]Rigid Body Motion Prediction with Planar Non-convex Contact Patch
    Jiayin Xie, Nilanjan Chakraborty
    http://arxiv.org/abs/1904.07723v1

    • [cs.RO]Speed and Separation Monitoring using on-robot Time—of—Flight laser—ranging sensor arrays
    Shitij Kumar, Sarthak Arora, Ferat Sahin
    http://arxiv.org/abs/1904.07379v1

    • [cs.RO]Suction Grasp Region Prediction using Self-supervised Learning for Object Picking in Dense Clutter
    Quanquan Shao, Jie Hu, Weiming Wang, Yi Fang, Wenhai Liu, Jin Qi, Jin Ma
    http://arxiv.org/abs/1904.07402v1

    • [cs.SD]Audio Denoising with Deep Network Priors
    Michael Michelashvili, Lior Wolf
    http://arxiv.org/abs/1904.07612v1

    • [cs.SD]Improved Speech Separation with Time-and-Frequency Cross-domain Joint Embedding and Clustering
    Gene-Ping Yang, Chao-I Tuan, Hung-Yi Lee, Lin-shan Lee
    http://arxiv.org/abs/1904.07845v1

    • [cs.SI]A Dynamic Embedding Model of the Media Landscape
    Jeremie Rappaz, Dylan Bourgeois, Karl Aberer
    http://arxiv.org/abs/1904.07539v1

    • [cs.SI]Incentivized Blockchain-based Social Media Platforms: A Case Study of Steemit
    Chao Li, Balaji Palanisamy
    http://arxiv.org/abs/1904.07310v1

    • [cs.SI]Investigating the Effect of Attributes on User Trust in Social Media
    Jamal Al Qundus, Adrian Paschke
    http://arxiv.org/abs/1904.07569v1

    • [cs.SI]Selection Bias in News Coverage: Learning it, Fighting it
    Dylan Bourgeois, Jeremie Rappaz, Karl Aberer
    http://arxiv.org/abs/1904.07536v1

    • [cs.SI]The Digital Architectures of Social Media: Comparing Political Campaigning on Facebook, Twitter, Instagram, and Snapchat in the 2016 U.S. Election
    Michael Bossetta
    http://arxiv.org/abs/1904.07333v1

    • [cs.SY]Robust nonlinear control of close formation flight
    Qingrui Zhang, Hugh H. T. Liu
    http://arxiv.org/abs/1904.07479v1

    • [econ.EM]Subgeometric ergodicity and $β$-mixing
    Mika Meitz, Pentti Saikkonen
    http://arxiv.org/abs/1904.07103v2

    • [econ.EM]Subgeometrically ergodic autoregressions
    Mika Meitz, Pentti Saikkonen
    http://arxiv.org/abs/1904.07089v2

    • [eess.AS]I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences
    Kong Aik Lee, Ville Hautamaki, Tomi Kinnunen, Hitoshi Yamamoto, Koji Okabe, Ville Vestman, Jing Huang, Guohong Ding, Hanwu Sun, Anthony Larcher, Rohan Kumar Das, Haizhou Li, Mickael Rouvier, Pierre-Michel Bousquet, Wei Rao, Qing Wang, Chunlei Zhang, Fahimeh Bahmaninezhad, Hector Delgado, Jose Patino, Qiongqiong Wang, Ling Guo, Takafumi Koshinaka, Jiacen Zhang, Koichi Shinoda, Trung Ngo Trong, Md Sahidullah, Fan Lu, Yun Tang, Ming Tu, Kah Kuan Teh, Huy Dat Tran, Kuruvachan K. George, Ivan Kukanov, Florent Desnous, Jichen Yang, Emre Yilmaz, Longting Xu, Jean-Francois Bonastre, Chenglin Xu, Zhi Hao Lim, Eng Siong Chng, Shivesh Ranjan, John H. L. Hansen, Massimiliano Todisco, Nicholas Evans
    http://arxiv.org/abs/1904.07386v1

    • [eess.AS]RHR-Net: A Residual Hourglass Recurrent Neural Network for Speech Enhancement
    Jalal Abdulbaqi, Yue Gu, Ivan Marsic
    http://arxiv.org/abs/1904.07294v1

    • [eess.AS]SpeechYOLO: Detection and Localization of Speech Objects
    Yael Segal, Tzeviya Sylvia Fuchs, Joseph Keshet
    http://arxiv.org/abs/1904.07704v1

    • [eess.AS]Spoof detection using x-vector and feature switching
    Mari Ganesh Kumar, Suvidha Rupesh Kumar, Saranya M, B. Bharathi, Hema A. Murthy
    http://arxiv.org/abs/1904.07453v1

    • [eess.SP]Cramer-Rao Bound for Estimation After Model Selection and its Application to Sparse Vector Estimation
    Elad Meir, Tirza Routtenberg
    http://arxiv.org/abs/1904.06837v1

    • [math.CO]Quaternary Hermitian linear complementary dual codes
    Makoto Araya, Masaaki Harada, Ken Saito
    http://arxiv.org/abs/1904.07517v1

    • [math.DS]Kernel canonical correlation analysis approximates operators for the detection of coherent structures in dynamical data
    Stefan Klus, Brooke E. Husic, Mattes Mollenhauer
    http://arxiv.org/abs/1904.07752v1

    • [math.PR]First passage time for Slepian process with linear barrier
    Jack Noonan, Anatoly Zhigljavsky
    http://arxiv.org/abs/1904.07227v1

    • [math.PR]Limit theorems for U-statistics of Bernoulli data
    Davide Giraudo
    http://arxiv.org/abs/1904.07296v1

    • [math.ST]Logarithm of ratios of two order statistics and regularly varying tails
    Pavlina K. Jordanova, Milan Stehlík
    http://arxiv.org/abs/1904.07770v1

    • [math.ST]Multidimensional Scaling: Infinite Metric Measure Spaces
    Lara Kassab
    http://arxiv.org/abs/1904.07763v1

    • [nlin.CD]Persistent Homology of Complex Networks for Dynamic State Detection
    Audun Myers, Elizabeth Munch, Firas A. Khasawneh
    http://arxiv.org/abs/1904.07403v1

    • [q-bio.NC]Critical elements for connectivity analysis of brain networks
    Jean Faber, Priscila C. Antoneli, Guillem Via, Noemi S. Araújo, Daniel J. L. L. Pinheiro, Esper Cavalheiro
    http://arxiv.org/abs/1904.07231v1

    • [stat.AP]How to apply multiple imputation in propensity score matching with partially observed confounders: a simulation study and practical recommendations
    Albee Y. Ling, Maria E. Montez-Rath, Maya B. Mathur, Kris Kapphahn, Manisha Desai
    http://arxiv.org/abs/1904.07408v1

    • [stat.AP]Metrics for Graph Comparison: A Practitioner’s Guide
    Peter Wills, Francois G. Meyer
    http://arxiv.org/abs/1904.07414v1

    • [stat.AP]Robust Response-Adaptive Randomization Design
    Thevaa Chandereng, Rick Chappell
    http://arxiv.org/abs/1904.07758v1

    • [stat.AP]Why Are the ARIMA and SARIMA not Sufficient
    Shixiong Wang, Chongshou Li, Andrew Lim
    http://arxiv.org/abs/1904.07632v1

    • [stat.CO]Approximate Bayesian Inference via Sparse grid Quadrature Evaluation for Hierarchical Models
    Joshua Hewitt, Jennifer A. Hoeting
    http://arxiv.org/abs/1904.07270v1

    • [stat.ME]A Global Bias-Correction DC Method for Biased Estimation under Memory Constraint
    Lu Lin, Feng Li
    http://arxiv.org/abs/1904.07477v1

    • [stat.ME]Bayesian Mixed Effects Model Estimation under Informative Sampling
    Terrance D. Savitsky, Matthew R. Williams
    http://arxiv.org/abs/1904.07680v1

    • [stat.ME]Constraints in Random Effects Age-Period-Cohort Models
    Liying Luo, James S. Hodges
    http://arxiv.org/abs/1904.07672v1

    • [stat.ME]Distribution and correlation free two-sample test of high-dimensional means
    Kaijie Xue, Fang Yao
    http://arxiv.org/abs/1904.07416v1

    • [stat.ME]Helping Effects Against Curse of Dimensionality in Threshold Factor Models for Matrix Time Series
    Xialu Liu, Elynn Chen
    http://arxiv.org/abs/1904.07383v1

    • [stat.ME]Modeling Network Populations via Graph Distances
    Simón Lunagómez, Sofia C. Olhede, Patrick J. Wolfe
    http://arxiv.org/abs/1904.07367v1

    • [stat.ME]Scalable and Efficient Hypothesis Testing with Random Forests
    Tim Coleman, Wei Peng, Lucas Mentch
    http://arxiv.org/abs/1904.07830v1

    • [stat.ML]Global Error Bounds and Linear Convergence for Gradient-Based Algorithms for Trend Filtering and $\ell_{1}$-Convex Clustering
    Nhat Ho, Tianyi Lin, Michael I. Jordan
    http://arxiv.org/abs/1904.07462v1

    • [stat.ML]Multiple kernel learning for integrative consensus clustering of genomic datasets
    Alessandra Cabassi, Paul D. W. Kirk
    http://arxiv.org/abs/1904.07701v1

    • [stat.ML]Pólygamma Data Augmentation to address Non-conjugacy in the Bayesian Estimation of Mixed Multinomial Logit Models
    Prateek Bansal, Rico Krueger, Michel Bierlaire, Ricardo A. Daziano, Taha H. Rashidi
    http://arxiv.org/abs/1904.07688v1

    • [stat.ML]Risk Bounds for Learning Multiple Components with Permutation-Invariant Losses
    Fabien Lauer
    http://arxiv.org/abs/1904.07594v1