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
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• [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