astro-ph.IM - 仪器仪表和天体物理学方法
cs.AI - 人工智能
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.DS - 数据结构与算法
cs.GT - 计算机科学与博弈论
cs.HC - 人机接口
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.LO - 计算逻辑
cs.MA - 多代理系统
cs.NA - 数值分析
cs.NE - 神经与进化计算
cs.RO - 机器人学
cs.SD - 声音处理
cs.SE - 软件工程
cs.SI - 社交网络与信息网络
eess.SP - 信号处理
math.CO - 组合数学
math.CT - 范畴论
math.OC - 优化与控制
math.PR - 概率
math.ST - 统计理论
q-bio.PE - 人口与发展
q-bio.QM - 定量方法
q-fin.ST - 统计金融学
quant-ph - 量子物理
stat.AP - 应用统计
stat.CO - 统计计算
stat.ME - 统计方法论
stat.ML - (统计)机器学习
• [astro-ph.IM]A unified perspective on modified Poisson likelihoods for limited Monte Carlo data
• [astro-ph.IM]Separating the EoR Signal with a Convolutional Denoising Autoencoder: A Deep-learning-based Method
• [cs.AI]Embedded Agency
• [cs.AI]Entity Personalized Talent Search Models with Tree Interaction Features
• [cs.AI]Learning to Apply Schematic Knowledge to Novel Instances
• [cs.AI]Liability, Ethics, and Culture-Aware Behavior Specification using Rulebooks
• [cs.AI]MIRA: A Computational Neuro-Based Cognitive Architecture Applied to Movie Recommender Systems
• [cs.AI]Marathon Environments: Multi-Agent Continuous Control Benchmarks in a Modern Video Game Engine
• [cs.AI]On constraint programming for a new flexible project scheduling problem with resource constraints
• [cs.AI]Similarity Measures based on Local Game Trees
• [cs.CL]ABI Neural Ensemble Model for Gender Prediction Adapt Bar-Ilan Submission for the CLIN29 Shared Task on Gender Prediction
• [cs.CL]Attentional Encoder Network for Targeted Sentiment Classification
• [cs.CL]Augmenting Neural Machine Translation with Knowledge Graphs
• [cs.CL]Categorization in the Wild: Generalizing Cognitive Models to Naturalistic Data across Languages
• [cs.CL]Cooperative Learning of Disjoint Syntax and Semantics
• [cs.CL]Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing
• [cs.CL]Enhancing Clinical Concept Extraction with Contextual Embedding
• [cs.CL]Evidence Sentence Extraction for Machine Reading Comprehension
• [cs.CL]GQA: a new dataset for compositional question answering over real-world images
• [cs.CL]Improving Robustness of Machine Translation with Synthetic Noise
• [cs.CL]Joint Multi-Domain Learning for Automatic Short Answer Grading
• [cs.CL]Lattice CNNs for Matching Based Chinese Question Answering
• [cs.CL]Leveraging Knowledge Bases in LSTMs for Improving Machine Reading
• [cs.CL]Lost in Machine Translation: A Method to Reduce Meaning Loss
• [cs.CL]MedMentions: A Large Biomedical Corpus Annotated with UMLS Concepts
• [cs.CL]Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds
• [cs.CL]On the Use of Emojis to Train Emotion Classifiers
• [cs.CL]OpenKiwi: An Open Source Framework for Quality Estimation
• [cs.CL]Pretraining-Based Natural Language Generation for Text Summarization
• [cs.CL]Re-evaluating ADEM: A Deeper Look at Scoring Dialogue Responses
• [cs.CL]Relation Extraction using Explicit Context Conditioning
• [cs.CL]Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable Models
• [cs.CL]Saliency Learning: Teaching the Model Where to Pay Attention
• [cs.CL]Star-Transformer
• [cs.CL]Synchronous Bidirectional Inference for Neural Sequence Generation
• [cs.CL]Text Analysis in Adversarial Settings: Does Deception Leave a Stylistic Trace?
• [cs.CL]The ARIEL-CMU Systems for LoReHLT18
• [cs.CL]Transfer Learning for Sequences via Learning to Collocate
• [cs.CL]Unlexicalized Transition-based Discontinuous Constituency Parsing
• [cs.CL]Using logical form encodings for unsupervised linguistic transformation: Theory and applications
• [cs.CL]VCWE: Visual Character-Enhanced Word Embeddings
• [cs.CL]Vector of Locally-Aggregated Word Embeddings (VLAWE): A novel document-level embedding
• [cs.CL]What makes a good conversation? How controllable attributes affect human judgments
• [cs.CR]Identifying Malicious Web Domains Using Machine Learning Techniques with Online Credibility and Performance Data
• [cs.CV]3D Guided Fine-Grained Face Manipulation
• [cs.CV]A Deep, Information-theoretic Framework for Robust Biometric Recognition
• [cs.CV]A Review on Automatic License Plate Recognition System
• [cs.CV]A Survey of Crowdsourcing in Medical Image Analysis
• [cs.CV]A large annotated medical image dataset for the development and evaluation of segmentation algorithms
• [cs.CV]A visual encoding model based on deep neural networks and transfer learning
• [cs.CV]An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition
• [cs.CV]Automatic ISP image quality tuning using non-linear optimization
• [cs.CV]Beyond Photometric Loss for Self-Supervised Ego-Motion Estimation
• [cs.CV]Bi-Skip: A Motion Deblurring Network Using Self-paced Learning
• [cs.CV]Condition-Invariant Multi-View Place Recognition
• [cs.CV]DDFlow: Learning Optical Flow with Unlabeled Data Distillation
• [cs.CV]Data augmentation using learned transforms for one-shot medical image segmentation
• [cs.CV]Deep High-Resolution Representation Learning for Human Pose Estimation
• [cs.CV]Discriminative Pattern Mining for Breast Cancer Histopathology Image Classification via Fully Convolutional Autoencoder
• [cs.CV]Dual Attention Networks for Visual Reference Resolution in Visual Dialog
• [cs.CV]Dynamic Feature Fusion for Semantic Edge Detection
• [cs.CV]End-to-end Hand Mesh Recovery from a Monocular RGB Image
• [cs.CV]FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation
• [cs.CV]Facial Motion Prior Networks for Facial Expression Recognition
• [cs.CV]Illumination-invariant Face recognition by fusing thermal and visual images via gradient transfer
• [cs.CV]MUREL: Multimodal Relational Reasoning for Visual Question Answering
• [cs.CV]Making History Matter: Gold-Critic Sequence Training for Visual Dialog
• [cs.CV]Privacy-Preserving Action Recognition using Coded Aperture Videos
• [cs.CV]SSA-CNN: Semantic Self-Attention CNN for Pedestrian Detection
• [cs.CV]Seeing Through Fog Without Seeing Fog: Deep Sensor Fusion in the Absence of Labeled Training Data
• [cs.CV]Spatial-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data
• [cs.CV]TBNet:Pulmonary Tuberculosis Diagnosing System using Deep Neural Networks
• [cs.CV]Towards Corner Case Detection for Autonomous Driving
• [cs.CV]Transferability of Deep Learning Algorithms for Malignancy Detection in Confocal Laser Endomicroscopy Images from Different Anatomical Locations of the Upper Gastrointestinal Tract
• [cs.CV]U-NetPlus: A Modified Encoder-Decoder U-Net Architecture for Semantic and Instance Segmentation of Surgical Instrument
• [cs.CV]Visualization, Discriminability and Applications of Interpretable Saak Features
• [cs.CY]A Decentralised Digital Identity Architecture
• [cs.CY]Trajectories of Blocked Community Members: Redemption, Recidivism and Departure
• [cs.DC]AliGraph: A Comprehensive Graph Neural Network Platform
• [cs.DC]Decentralized Coordinate-Descent Data Detection and Precoding for Massive MU-MIMO
• [cs.DC]Dynamic Fault Tolerance Through Resource Pooling
• [cs.DC]Fast Distributed Backup Placement in Sparse and Dense Graphs
• [cs.DC]Latency, Capacity, and Distributed MST
• [cs.DC]Optimal Distributed Covering Algorithms
• [cs.DC]PaRiS: Causally Consistent Transactions with Non-blocking Reads and Partial Replication
• [cs.DS]Adaptive Estimation for Approximate k-Nearest-Neighbor Computations
• [cs.GT]Testing Preferential Domains Using Sampling
• [cs.HC]Automatic Detection of Protective Behavior in Chronic Pain Physical Rehabilitation: A Recurrent Neural Network Approach
• [cs.HC]Behavioral Petri Net Mining and Automated Analysis for Human-Computer Interaction Recommendations in Multi-Application Environments
• [cs.HC]Designing for Health Chatbots
• [cs.IR]Aggregating E-commerce Search Results from Heterogeneous Sources via Hierarchical Reinforcement Learning
• [cs.IR]Improving Neural Response Diversity with Frequency-Aware Cross-Entropy Loss
• [cs.IR]Scalable Hyperbolic Recommender Systems
• [cs.IR]Session-based Social Recommendation via Dynamic Graph Attention Networks
• [cs.IT]Clustering-Based Codebook Design for MIMO Communication System
• [cs.IT]Factoring Perfect Reconstruction Filter Banks into Causal Lifting Matrices: A Diophantine Approach
• [cs.IT]Hybrid Beamforming: Where Should the Analog Power Amplifiers be Placed?
• [cs.IT]NOMA for VLC Downlink Transmission with Random Receiver Orientation
• [cs.IT]On Greedy Algorithms for Binary de Bruijn Sequences
• [cs.IT]On the Distribution of GSVD
• [cs.IT]Optimal Online Transmission Policy for Energy-Constrained Wireless-Powered Communication Networks
• [cs.IT]Optimal Resource Allocation for Wireless Powered Mobile Edge Computing with Dynamic Task Arrivals
• [cs.IT]Secrecy Rates for a Channel With Two Senders and Two Receivers
• [cs.IT]Secret Key Capacity For Multipleaccess Channel With Public Feedback
• [cs.IT]The Capacity of Memoryless Channels with Sampled Cyclostationary Gaussian Noise
• [cs.IT]The Capacity of Private Information Retrieval from Heterogeneous Uncoded Caching Databases
• [cs.IT]Wasserstein GAN Can Perform PCA
• [cs.LG]A Convex Relaxation Barrier to Tight Robust Verification of Neural Networks
• [cs.LG]A Degeneracy Framework for Scalable Graph Autoencoders
• [cs.LG]A Driving Intention Prediction Method Based on Hidden Markov Model for Autonomous Driving
• [cs.LG]A Theoretical Analysis of Contrastive Unsupervised Representation Learning
• [cs.LG]Adaptive Estimators Show Information Compression in Deep Neural Networks
• [cs.LG]Adversarial attacks hidden in plain sight
• [cs.LG]Batch Virtual Adversarial Training for Graph Convolutional Networks
• [cs.LG]CFM-BD: a distributed rule induction algorithm for building Compact Fuzzy Models in Big Data classification problems
• [cs.LG]Deep Bayesian Multi-Target Learning for Recommender Systems
• [cs.LG]Drug-drug interaction prediction based on co-medication patterns and graph matching
• [cs.LG]Efficient Path Prediction for Semi-Supervised and Weakly Supervised Hierarchical Text Classification
• [cs.LG]Efficient Private Algorithms for Learning Halfspaces
• [cs.LG]Field-aware Neural Factorization Machine for Click-Through Rate Prediction
• [cs.LG]GraphFlow: A New Graph Convolutional Network Based on Parallel Flows
• [cs.LG]Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation
• [cs.LG]High Dimensional Restrictive Federated Model Selection with multi-objective Bayesian Optimization over shifted distributions
• [cs.LG]Improved Algorithm on Online Clustering of Bandits
• [cs.LG]Iterative Channel Estimation for Discrete Denoising under Channel Uncertainty
• [cs.LG]Joint Modeling of Dense and Incomplete Trajectories for Citywide Traffic Volume Inference
• [cs.LG]Learning Hash Function through Codewords
• [cs.LG]Learning protein sequence embeddings using information from structure
• [cs.LG]Machine Learning Aided Anonymization of Spatiotemporal Trajectory Datasets
• [cs.LG]Medical Multimodal Classifiers Under Scarce Data Condition
• [cs.LG]Modularity as a Means for Complexity Management in Neural Networks Learning
• [cs.LG]Multi-Label Network Classification via Weighted Personalized Factorizations
• [cs.LG]Neural Reverse Engineering of Stripped Binaries
• [cs.LG]ORACLE: Order Robust Adaptive Continual LEarning
• [cs.LG]Online Control with Adversarial Disturbances
• [cs.LG]Pragmatic classification of movement primitives for stroke rehabilitation
• [cs.LG]Rapidly Adapting Moment Estimation
• [cs.LG]S-TRIGGER: Continual State Representation Learning via Self-Triggered Generative Replay
• [cs.LG]Statistical Method to Model the Quality Inconsistencies of the Welding Process
• [cs.LG]The MBPEP: a deep ensemble pruning algorithm providing high quality uncertainty prediction
• [cs.LG]Training GANs with Centripetal Acceleration
• [cs.LG]Transfer Learning for Non-Intrusive Load Monitoring
• [cs.LG]Truth Inference at Scale: A Bayesian Model for Adjudicating Highly Redundant Crowd Annotations
• [cs.LG]Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach
• [cs.LG]Wasserstein-Wasserstein Auto-Encoders
• [cs.LG]When Relaxations Go Bad: "Differentially-Private" Machine Learning
• [cs.LO]Experimental Study on CTL model checking using Machine Learning
• [cs.MA]Anytime Heuristic for Weighted Matching Through Altruism-Inspired Behavior
• [cs.NA]A Dual Symmetric Gauss-Seidel Alternating Direction Method of Multipliers for Hyperspectral Sparse Unmixing
• [cs.NE]Faster Genetic Programming GPquick via multicore and Advanced Vector Extensions
• [cs.RO]A General Framework for Structured Learning of Mechanical Systems
• [cs.RO]A Versatile Framework for Robust and Adaptive Door Operation with a Mobile Manipulator Robot
• [cs.RO]An Efficient Scheduling Algorithm for Multi-Robot Task Allocation in Assembling Aircraft Structures
• [cs.RO]An Online Learning Approach to Model Predictive Control
• [cs.RO]Designing a Mechanical Tool for Robots with 2-Finger Parallel Grippers
• [cs.RO]Efficient Fully Convolution Neural Network for Generating Pixel Wise Robotic Grasps With High Resolution Images
• [cs.RO]GMC: Grid Based Motion Clustering in Dynamic Environment
• [cs.RO]Long-Range Indoor Navigation with PRM-RL
• [cs.RO]Model-less Active Compliance for Continuum Robots using Recurrent Neural Networks
• [cs.RO]Quickly Inserting Pegs into Uncertain Holes using Multi-view Images and Deep Network Trained on Synthetic Data
• [cs.RO]Robust Affordable 3D Haptic Sensation via Learning Deformation Patterns
• [cs.RO]Vision Based Picking System for Automatic Express Package Dispatching
• [cs.SD]Audio Caption: Listen and Tell
• [cs.SD]Automatic Detection and Compression for Passive Acoustic Monitoring of the African Forest Elephant
• [cs.SD]GANSynth: Adversarial Neural Audio Synthesis
• [cs.SD]Robust Sound Source Localization considering Similarity of Back-Propagation Signals
• [cs.SE]A Reference Architecture for Smart and Software-defined Buildings
• [cs.SE]Sustaining Research Software: an SC18 Panel
• [cs.SI]Deep Learning Approach on Information Diffusion in Heterogeneous Networks
• [cs.SI]Designing for Participation and Change in Digital Institutions
• [cs.SI]Heterogeneity and Instability in the Stable Marriage Problem
• [cs.SI]Linky: Visualizing User Identity Linkage Results For Multiple Online Social Networks
• [cs.SI]Message Distortion in Information Cascades
• [cs.SI]Rock, Rap, or Reggaeton?: Assessing Mexican Immigrants' Cultural Assimilation Using Facebook Data
• [cs.SI]SoReC: A Social-Relation Based Centrality Measure in Mobile Social Networks
• [cs.SI]Transforming Collaboration Data into Network Layers for Enhanced Analytics
• [eess.SP]Forecasting intracranial hypertension using multi-scale waveform metrics
• [math.CO]New doubly even self-dual codes having minimum weight 20
• [math.CT]From open learners to open games
• [math.OC]Single-Forward-Step Projective Splitting: Exploiting Cocoercivity
• [math.PR]Configuration Models of Random Hypergraphs and their Applications
• [math.ST]A Robust Unscented Transformation for Uncertain Moments
• [math.ST]De-Biasing The Lasso With Degrees-of-Freedom Adjustment
• [math.ST]Goodness-of-fit Tests for the Bivariate Poisson Distribution
• [math.ST]Matrix denoising for weighted loss functions and heterogeneous signals
• [math.ST]Nonlinear generalization of the single index model
• [math.ST]Sampling Sup-Normalized Spectral Functions for Brown-Resnick Processes
• [math.ST]Weak convergence theory for Poisson sampling designs
• [q-bio.PE]Fitting stochastic epidemic models to gene genealogies using linear noise approximation
• [q-bio.QM]Contribution of Interval Linear Algebra to the Ongoing Discussions on Multiple Breath Washout Test
• [q-fin.ST]A changepoint approach for the identification of financial extreme regimes
• [quant-ph]Energy efficient mining on a quantum-enabled blockchain using light
• [quant-ph]Photonic Engineering for CV-QKD over Earth-Satellite Channels
• [quant-ph]Quantum Learning Boolean Linear Functions w.r.t. Product Distributions
• [quant-ph]Revealing quantum chaos with machine learning
• [stat.AP]Censored Regression for Modelling International Small Arms Trading and its "Forensic" Use for Exploring Unreported Trades
• [stat.AP]Non-compliance and missing data in health economic evaluation
• [stat.AP]SMARTp: A SMART design for non-surgical treatments of chronic periodontitis with spatially-referenced and non-randomly missing skewed outcomes
• [stat.CO]Acceleration of expensive computations in Bayesian statistics using vector operations
• [stat.CO]Snowboot: Bootstrap Methods for Network Inference
• [stat.ME]A permutation-based Bayesian approach for inverse covariance estimation
• [stat.ME]Bayesian Modeling of Microbiome Data for Differential Abundance Analysis
• [stat.ME]Hypotheses Testing from Complex Survey Data Using Bootstrap Weights: A Unified Approach
• [stat.ME]Logistic principal component analysis via non-convex singular value thresholding
• [stat.ME]Multiscale quantile regression
• [stat.ME]PC priors for residual correlation parameters in one-factor mixed models
• [stat.ML]A Formalization of The Natural Gradient Method for General Similarity Measures
• [stat.ML]Adversarial Reinforcement Learning under Partial Observability in Software-Defined Networking
• [stat.ML]Artificial Constraints and Lipschitz Hints for Unconstrained Online Learning
• [stat.ML]Bayesian Anomaly Detection and Classification
• [stat.ML]Beating SGD Saturation with Tail-Averaging and Minibatching
• [stat.ML]Combining Online Learning Guarantees
• [stat.ML]Distributionally Robust Reinforcement Learning
• [stat.ML]Spatial Analysis Made Easy with Linear Regression and Kernels
• [stat.ML]The Generalized Complex Kernel Least-Mean-Square Algorithm
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• [astro-ph.IM]A unified perspective on modified Poisson likelihoods for limited Monte Carlo data
Thorsten Glüsenkamp
http://arxiv.org/abs/1902.08831v1
• [astro-ph.IM]Separating the EoR Signal with a Convolutional Denoising Autoencoder: A Deep-learning-based Method
Weitian Li, Haiguang Xu, Zhixian Ma, Ruimin Zhu, Dan Hu, Zhenghao Zhu, Junhua Gu, Chenxi Shan, Jie Zhu, Xiang-Ping Wu
http://arxiv.org/abs/1902.09278v1
• [cs.AI]Embedded Agency
Abram Demski, Scott Garrabrant
http://arxiv.org/abs/1902.09469v1
• [cs.AI]Entity Personalized Talent Search Models with Tree Interaction Features
Cagri Ozcaglar, Sahin Geyik, Brian Schmitz, Prakhar Sharma, Alex Shelkovnykov, Yiming Ma, Erik Buchanan
http://arxiv.org/abs/1902.09041v1
• [cs.AI]Learning to Apply Schematic Knowledge to Novel Instances
Catherine Chen, Qihong Lu, Andre Beukers, Chris Baldassano, Kenneth Norman
http://arxiv.org/abs/1902.09006v1
• [cs.AI]Liability, Ethics, and Culture-Aware Behavior Specification using Rulebooks
Andrea Censi, Konstantin Slutsky, Tichakorn Wongpiromsarn, Dmitry Yershov, Scott Pendleton, James Fu, Emilio Frazzoli
http://arxiv.org/abs/1902.09355v1
• [cs.AI]MIRA: A Computational Neuro-Based Cognitive Architecture Applied to Movie Recommender Systems
Mariana B. Santos, Amanda M. Lima, Lucas A. Silva, Felipe S. Vargas, Guilherme A. Wachs-Lopes, Paulo S. Rodrigues
http://arxiv.org/abs/1902.09291v1
• [cs.AI]Marathon Environments: Multi-Agent Continuous Control Benchmarks in a Modern Video Game Engine
Joe Booth, Jackson Booth
http://arxiv.org/abs/1902.09097v1
• [cs.AI]On constraint programming for a new flexible project scheduling problem with resource constraints
Viktoria A. Hauder, Andreas Beham, Sebastian Raggl, Sophie N. Parragh, Michael Affenzeller
http://arxiv.org/abs/1902.09244v1
• [cs.AI]Similarity Measures based on Local Game Trees
Sabrina Evans, Paolo Turrini
http://arxiv.org/abs/1902.09335v1
• [cs.CL]ABI Neural Ensemble Model for Gender Prediction Adapt Bar-Ilan Submission for the CLIN29 Shared Task on Gender Prediction
Eva Vanmassenhove, Amit Moryossef, Alberto Poncelas, Andy Way, Dimitar Shterionov
http://arxiv.org/abs/1902.08856v1
• [cs.CL]Attentional Encoder Network for Targeted Sentiment Classification
Youwei Song, Jiahai Wang, Tao Jiang, Zhiyue Liu, Yanghui Rao
http://arxiv.org/abs/1902.09314v1
• [cs.CL]Augmenting Neural Machine Translation with Knowledge Graphs
Diego Moussallem, Mihael Arčan, Axel-Cyrille Ngonga Ngomo, Paul Buitelaar
http://arxiv.org/abs/1902.08816v1
• [cs.CL]Categorization in the Wild: Generalizing Cognitive Models to Naturalistic Data across Languages
Lea Frermann, Mirella Lapata
http://arxiv.org/abs/1902.08830v1
• [cs.CL]Cooperative Learning of Disjoint Syntax and Semantics
Serhii Havrylov, Germán Kruszewski, Armand Joulin
http://arxiv.org/abs/1902.09393v1
• [cs.CL]Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing
Tal Schuster, Ori Ram, Regina Barzilay, Amir Globerson
http://arxiv.org/abs/1902.09492v1
• [cs.CL]Enhancing Clinical Concept Extraction with Contextual Embedding
Yuqi Si, Jingqi Wang, Hua Xu, Kirk Roberts
http://arxiv.org/abs/1902.08691v1
• [cs.CL]Evidence Sentence Extraction for Machine Reading Comprehension
Hai Wang, Dian Yu, Kai Sun, Jianshu Chen, Dong Yu, Dan Roth, David McAllester
http://arxiv.org/abs/1902.08852v1
• [cs.CL]GQA: a new dataset for compositional question answering over real-world images
Drew A. Hudson, Christopher D. Manning
http://arxiv.org/abs/1902.09506v1
• [cs.CL]Improving Robustness of Machine Translation with Synthetic Noise
Vaibhav, Sumeet Singh, Craig Stewart, Graham Neubig
http://arxiv.org/abs/1902.09508v1
• [cs.CL]Joint Multi-Domain Learning for Automatic Short Answer Grading
Swarnadeep Saha, Tejas I. Dhamecha, Smit Marvaniya, Peter Foltz, Renuka Sindhgatta, Bikram Sengupta
http://arxiv.org/abs/1902.09183v1
• [cs.CL]Lattice CNNs for Matching Based Chinese Question Answering
Yuxuan Lai, Yansong Feng, Xiaohan Yu, Zheng Wang, Kun Xu, Dongyan Zhao
http://arxiv.org/abs/1902.09087v1
• [cs.CL]Leveraging Knowledge Bases in LSTMs for Improving Machine Reading
Bishan Yang, Tom Mitchell
http://arxiv.org/abs/1902.09091v1
• [cs.CL]Lost in Machine Translation: A Method to Reduce Meaning Loss
Reuben Cohn-Gordon, Noah Goodman
http://arxiv.org/abs/1902.09514v1
• [cs.CL]MedMentions: A Large Biomedical Corpus Annotated with UMLS Concepts
Sunil Mohan, Donghui Li
http://arxiv.org/abs/1902.09476v1
• [cs.CL]Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds
Igor Labutov, Bishan Yang, Anusha Prakash, Amos Azaria
http://arxiv.org/abs/1902.09093v1
• [cs.CL]On the Use of Emojis to Train Emotion Classifiers
Wegdan Hussien, Mahmoud Al-Ayyoub, Yahya Tashtoush, Mohammed Al-Kabi
http://arxiv.org/abs/1902.08906v1
• [cs.CL]OpenKiwi: An Open Source Framework for Quality Estimation
Fábio Kepler, Jonay Trénous, Marcos Treviso, Miguel Vera, André F. T. Martins
http://arxiv.org/abs/1902.08646v1
• [cs.CL]Pretraining-Based Natural Language Generation for Text Summarization
Haoyu Zhang, Yeyun Gong, Yu Yan, Nan Duan, Jianjun Xu, Ji Wang, Ming Gong, Ming Zhou
http://arxiv.org/abs/1902.09243v1
• [cs.CL]Re-evaluating ADEM: A Deeper Look at Scoring Dialogue Responses
Ananya B. Sai, Mithun Das Gupta, Mitesh M. Khapra, Mukundhan Srinivasan
http://arxiv.org/abs/1902.08832v1
• [cs.CL]Relation Extraction using Explicit Context Conditioning
Gaurav Singh, Parminder Bhatia
http://arxiv.org/abs/1902.09271v1
• [cs.CL]Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable Models
Tiancheng Zhao, Kaige Xie, Maxine Eskenazi
http://arxiv.org/abs/1902.08858v1
• [cs.CL]Saliency Learning: Teaching the Model Where to Pay Attention
Reza Ghaeini, Xiaoli Z. Fern, Hamed Shahbazi, Prasad Tadepalli
http://arxiv.org/abs/1902.08649v1
• [cs.CL]Star-Transformer
Qipeng Guo, Xipeng Qiu, Pengfei Liu, Yunfan Shao, Xiangyang Xue, Zheng Zhang
http://arxiv.org/abs/1902.09113v1
• [cs.CL]Synchronous Bidirectional Inference for Neural Sequence Generation
Jiajun Zhang, Long Zhou, Yang Zhao, Chengqing Zong
http://arxiv.org/abs/1902.08955v1
• [cs.CL]Text Analysis in Adversarial Settings: Does Deception Leave a Stylistic Trace?
Tommi Gröndahl, N. Asokan
http://arxiv.org/abs/1902.08939v1
• [cs.CL]The ARIEL-CMU Systems for LoReHLT18
Aditi Chaudhary, Siddharth Dalmia, Junjie Hu, Xinjian Li, Austin Matthews, Aldrian Obaja Muis, Naoki Otani, Shruti Rijhwani, Zaid Sheikh, Nidhi Vyas, Xinyi Wang, Jiateng Xie, Ruochen Xu, Chunting Zhou, Peter J. Jansen, Yiming Yang, Lori Levin, Florian Metze, Teruko Mitamura, David R. Mortensen, Graham Neubig, Eduard Hovy, Alan W Black, Jaime Carbonell, Graham V. Horwood, Shabnam Tafreshi, Mona Diab, Efsun S. Kayi, Noura Farra, Kathleen McKeown
http://arxiv.org/abs/1902.08899v1
• [cs.CL]Transfer Learning for Sequences via Learning to Collocate
Wanyun Cui, Guangyu Zheng, Zhiqiang Shen, Sihang Jiang, Wei Wang
http://arxiv.org/abs/1902.09092v1
• [cs.CL]Unlexicalized Transition-based Discontinuous Constituency Parsing
Maximin Coavoux, Benoît Crabbé, Shay B. Cohen
http://arxiv.org/abs/1902.08912v1
• [cs.CL]Using logical form encodings for unsupervised linguistic transformation: Theory and applications
Tommo Gröndahl, N. Asokan
http://arxiv.org/abs/1902.09381v1
• [cs.CL]VCWE: Visual Character-Enhanced Word Embeddings
Chi Sun, Xipeng Qiu, Xuanjing Huang
http://arxiv.org/abs/1902.08795v1
• [cs.CL]Vector of Locally-Aggregated Word Embeddings (VLAWE): A novel document-level embedding
Radu Tudor Ionescu, Andrei M. Butnaru
http://arxiv.org/abs/1902.08850v1
• [cs.CL]What makes a good conversation? How controllable attributes affect human judgments
Abigail See, Stephen Roller, Douwe Kiela, Jason Weston
http://arxiv.org/abs/1902.08654v1
• [cs.CR]Identifying Malicious Web Domains Using Machine Learning Techniques with Online Credibility and Performance Data
Zhongyi Hu, Raymond Chiong, Ilung Pranata, Willy Susilo, Yukun Bao
http://arxiv.org/abs/1902.08792v1
• [cs.CV]3D Guided Fine-Grained Face Manipulation
Zhenglin Geng, Chen Cao, Sergey Tulyakov
http://arxiv.org/abs/1902.08900v1
• [cs.CV]A Deep, Information-theoretic Framework for Robust Biometric Recognition
Renjie Xie, Yanzhi Chen, Yan Wo, Qiao Wang
http://arxiv.org/abs/1902.08785v1
• [cs.CV]A Review on Automatic License Plate Recognition System
Satadal Saha
http://arxiv.org/abs/1902.09385v1
• [cs.CV]A Survey of Crowdsourcing in Medical Image Analysis
Silas Ørting, Andrew Doyle, Matthias Hirth Arno van Hilten, Oana Inel, Christopher R. Madan, Panagiotis Mavridis, Helen Spiers, Veronika Cheplygina
http://arxiv.org/abs/1902.09159v1
• [cs.CV]A large annotated medical image dataset for the development and evaluation of segmentation algorithms
Amber L. Simpson, Michela Antonelli, Spyridon Bakas, Michel Bilello, Keyvan Farahani, Bram van Ginneken, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern Menze, Olaf Ronneberger, Ronald M. Summers, Patrick Bilic, Patrick F. Christ, Richard K. G. Do, Marc Gollub, Jennifer Golia-Pernicka, Stephan H. Heckers, William R. Jarnagin, Maureen K. McHugo, Sandy Napel, Eugene Vorontsov, Lena Maier-Hein, M. Jorge Cardoso
http://arxiv.org/abs/1902.09063v1
• [cs.CV]A visual encoding model based on deep neural networks and transfer learning
Chi Zhang, Kai Qiao, Linyuan Wang, Li Tong, Guoen Hu, Ruyuan Zhang, Bin Yan
http://arxiv.org/abs/1902.08793v1
• [cs.CV]An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition
Chenyang Si, Wentao Chen, Wei Wang, Liang Wang, Tieniu Tan
http://arxiv.org/abs/1902.09130v1
• [cs.CV]Automatic ISP image quality tuning using non-linear optimization
Jun Nishimura, Timo Gerasimow, Sushma Rao, Aleksandar Sutic, Chyuan-Tyng Wu, Gilad Michael
http://arxiv.org/abs/1902.09023v1
• [cs.CV]Beyond Photometric Loss for Self-Supervised Ego-Motion Estimation
Tianwei Shen, Zixin Luo, Lei Zhou, Hanyu Deng, Runze Zhang, Tian Fang, Long Quan
http://arxiv.org/abs/1902.09103v1
• [cs.CV]Bi-Skip: A Motion Deblurring Network Using Self-paced Learning
Yiwei Zhang, Chunbiao Zhu, Ge Li, Yuan Zhao, Haifeng Shen
http://arxiv.org/abs/1902.08915v1
• [cs.CV]Condition-Invariant Multi-View Place Recognition
Jose M. Facil, Daniel Olid, Luis Montesano, Javier Civera
http://arxiv.org/abs/1902.09516v1
• [cs.CV]DDFlow: Learning Optical Flow with Unlabeled Data Distillation
Pengpeng Liu, Irwin King, Michael R. Lyu, Jia Xu
http://arxiv.org/abs/1902.09145v1
• [cs.CV]Data augmentation using learned transforms for one-shot medical image segmentation
Amy Zhao, Guha Balakrishnan, Frédo Durand, John V. Guttag, Adrian V. Dalca
http://arxiv.org/abs/1902.09383v1
• [cs.CV]Deep High-Resolution Representation Learning for Human Pose Estimation
Ke Sun, Bin Xiao, Dong Liu, Jingdong Wang
http://arxiv.org/abs/1902.09212v1
• [cs.CV]Discriminative Pattern Mining for Breast Cancer Histopathology Image Classification via Fully Convolutional Autoencoder
Xingyu Li, Marko Radulovic, Ksenija Kanjer, Konstantinos N. Plataniotis
http://arxiv.org/abs/1902.08670v1
• [cs.CV]Dual Attention Networks for Visual Reference Resolution in Visual Dialog
Gi-Cheon Kang, Jaeseo Lim, Byoung-Tak Zhang
http://arxiv.org/abs/1902.09368v1
• [cs.CV]Dynamic Feature Fusion for Semantic Edge Detection
Yuan Hu, Yunpeng Chen, Xiang Li, Jiashi Feng
http://arxiv.org/abs/1902.09104v1
• [cs.CV]End-to-end Hand Mesh Recovery from a Monocular RGB Image
Xiong Zhang, Qiang Li, Wenbo Zhang, Wen Zheng
http://arxiv.org/abs/1902.09305v1
• [cs.CV]FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation
Paul Voigtlaender, Yuning Chai, Florian Schroff, Hartwig Adam, Bastian Leibe, Liang-Chieh Chen
http://arxiv.org/abs/1902.09513v1
• [cs.CV]Facial Motion Prior Networks for Facial Expression Recognition
Yuedong Chen, Jianfeng Wang, Shikai Chen, Zhongchao Shi, Jianfei Cai
http://arxiv.org/abs/1902.08788v1
• [cs.CV]Illumination-invariant Face recognition by fusing thermal and visual images via gradient transfer
Sumit Agarwal, Harshit S. Sikchi, Suparna Rooj, Shubhobrata Bhattacharya, Aurobinda Routray
http://arxiv.org/abs/1902.08802v1
• [cs.CV]MUREL: Multimodal Relational Reasoning for Visual Question Answering
Remi Cadene, Hedi Ben-younes, Matthieu Cord, Nicolas Thome
http://arxiv.org/abs/1902.09487v1
• [cs.CV]Making History Matter: Gold-Critic Sequence Training for Visual Dialog
Tianhao Yang, Zheng-Jun Zha, Hanwang Zhang
http://arxiv.org/abs/1902.09326v1
• [cs.CV]Privacy-Preserving Action Recognition using Coded Aperture Videos
Zihao Wang, Vibhav Vineet, Francesco Pittaluga, Sudipta Sinha, Oliver Cossairt, Sing Bing Kang
http://arxiv.org/abs/1902.09085v1
• [cs.CV]SSA-CNN: Semantic Self-Attention CNN for Pedestrian Detection
Chengju Zhou, Meiqing Wu, Siew-Kei Lam
http://arxiv.org/abs/1902.09080v1
• [cs.CV]Seeing Through Fog Without Seeing Fog: Deep Sensor Fusion in the Absence of Labeled Training Data
Mario Bijelic, Fahim Mannan, Tobias Gruber, Werner Ritter, Klaus Dietmayer, Felix Heide
http://arxiv.org/abs/1902.08913v1
• [cs.CV]Spatial-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data
Ling Zhang, Le Lu, Robert M. Zhu, Mohammadhadi Bagheri, Ronald M. Summers, Jianhua Yao
http://arxiv.org/abs/1902.08716v1
• [cs.CV]TBNet:Pulmonary Tuberculosis Diagnosing System using Deep Neural Networks
Ram Srivatsav Ghorakavi
http://arxiv.org/abs/1902.08897v1
• [cs.CV]Towards Corner Case Detection for Autonomous Driving
Jan-Aike Bolte, Andreas Bär, Daniel Lipinski, Tim Fingscheidt
http://arxiv.org/abs/1902.09184v1
• [cs.CV]Transferability of Deep Learning Algorithms for Malignancy Detection in Confocal Laser Endomicroscopy Images from Different Anatomical Locations of the Upper Gastrointestinal Tract
Marc Aubreville, Miguel Goncalves, Christian Knipfer, Nicolai Oetter, Helmut Neumann, Florian Stelzle, Christopher Bohr, Andreas Maier
http://arxiv.org/abs/1902.08985v1
• [cs.CV]U-NetPlus: A Modified Encoder-Decoder U-Net Architecture for Semantic and Instance Segmentation of Surgical Instrument
S. M. Kamrul Hasan, Cristian A. Linte
http://arxiv.org/abs/1902.08994v1
• [cs.CV]Visualization, Discriminability and Applications of Interpretable Saak Features
Abinaya Manimaran, Thiyagarajan Ramanathan, Suya You, C-C Jay Kuo
http://arxiv.org/abs/1902.09107v1
• [cs.CY]A Decentralised Digital Identity Architecture
Geoff Goodell, Tomaso Aste
http://arxiv.org/abs/1902.08769v1
• [cs.CY]Trajectories of Blocked Community Members: Redemption, Recidivism and Departure
Jonathan P. Chang, Cristian Danescu-Niculescu-Mizil
http://arxiv.org/abs/1902.08628v1
• [cs.DC]AliGraph: A Comprehensive Graph Neural Network Platform
Rong Zhu, Kun Zhao, Hongxia Yang, Wei Lin, Chang Zhou, Baole Ai, Yong Li, Jingren Zhou
http://arxiv.org/abs/1902.08730v1
• [cs.DC]Decentralized Coordinate-Descent Data Detection and Precoding for Massive MU-MIMO
Kaipeng Li, Oscar Castaneda, Charles Jeon, Joseph R. Cavallaro, Christoph Studer
http://arxiv.org/abs/1902.08653v1
• [cs.DC]Dynamic Fault Tolerance Through Resource Pooling
Christian M. Fuchs, Nadia M. Murillo, Aske Plaat, Erik van der Kouwe, Todor Stefanov
http://arxiv.org/abs/1902.09493v1
• [cs.DC]Fast Distributed Backup Placement in Sparse and Dense Graphs
Leonid Barenboim, Gal Oren
http://arxiv.org/abs/1902.08819v1
• [cs.DC]Latency, Capacity, and Distributed MST
John Augustine, Seth Gilbert, Fabian Kuhn, Peter Robinson, Suman Sourav
http://arxiv.org/abs/1902.08979v1
• [cs.DC]Optimal Distributed Covering Algorithms
Ran Ben-Basat, Guy Even, Ken-ichi Kawarabayashi, Gregory Schwartzman
http://arxiv.org/abs/1902.09377v1
• [cs.DC]PaRiS: Causally Consistent Transactions with Non-blocking Reads and Partial Replication
Kristina Spirovska, Diego Didona, Willy Zwaenepoel
http://arxiv.org/abs/1902.09327v1
• [cs.DS]Adaptive Estimation for Approximate k-Nearest-Neighbor Computations
Daniel LeJeune, Richard G. Baraniuk, Reinhard Heckel
http://arxiv.org/abs/1902.09465v1
• [cs.GT]Testing Preferential Domains Using Sampling
Palash Dey, Swaprava Nath, Garima Shakya
http://arxiv.org/abs/1902.08930v1
• [cs.HC]Automatic Detection of Protective Behavior in Chronic Pain Physical Rehabilitation: A Recurrent Neural Network Approach
Chongyang Wang, Temitayo A. Olugbade, Akhil Mathur, Amanda C. De C. Williams, Nicholas D. Lane, Nadia Bianchi-Berthouze
http://arxiv.org/abs/1902.08990v1
• [cs.HC]Behavioral Petri Net Mining and Automated Analysis for Human-Computer Interaction Recommendations in Multi-Application Environments
Julian Theis, Houshang Darabi
http://arxiv.org/abs/1902.08740v1
• [cs.HC]Designing for Health Chatbots
Ahmed Fadhil, Gianluca Schiavo
http://arxiv.org/abs/1902.09022v1
• [cs.IR]Aggregating E-commerce Search Results from Heterogeneous Sources via Hierarchical Reinforcement Learning
Ryuichi Takanobu, Tao Zhuang, Minlie Huang, Jun Feng, Haihong Tang, Bo Zheng
http://arxiv.org/abs/1902.08882v1
• [cs.IR]Improving Neural Response Diversity with Frequency-Aware Cross-Entropy Loss
Shaojie Jiang, Pengjie Ren, Christof Monz, Maarten de Rijke
http://arxiv.org/abs/1902.09191v1
• [cs.IR]Scalable Hyperbolic Recommender Systems
Benjamin Paul Chamberlain, Stephen R. Hardwick, David R. Wardrope, Fabon Dzogang, Fabio Daolio, Saúl Vargas
http://arxiv.org/abs/1902.08648v1
• [cs.IR]Session-based Social Recommendation via Dynamic Graph Attention Networks
Weiping Song, Zhiping Xiao, Yifan Wang, Laurent Charlin, Ming Zhang, Jian Tang
http://arxiv.org/abs/1902.09362v1
• [cs.IT]Clustering-Based Codebook Design for MIMO Communication System
Jing Jiang, Xiaojing Wang, Guftaar Ahmad Sardar Sidhu, Li Zhen, Runchen Gao
http://arxiv.org/abs/1902.09101v1
• [cs.IT]Factoring Perfect Reconstruction Filter Banks into Causal Lifting Matrices: A Diophantine Approach
Christopher M. Brislawn
http://arxiv.org/abs/1902.09040v1
• [cs.IT]Hybrid Beamforming: Where Should the Analog Power Amplifiers be Placed?
Yasemin Karacora, Ali Kariminezhad, Aydin Sezgin
http://arxiv.org/abs/1902.09511v1
• [cs.IT]NOMA for VLC Downlink Transmission with Random Receiver Orientation
Yavuz Yapici, Ismail Guvenc
http://arxiv.org/abs/1902.09065v1
• [cs.IT]On Greedy Algorithms for Binary de Bruijn Sequences
Zuling Chang, Martianus Frederic Ezerman, Adamas Aqsa Fahreza
http://arxiv.org/abs/1902.08744v1
• [cs.IT]On the Distribution of GSVD
Zhuo Chen, Zhiguo Ding
http://arxiv.org/abs/1902.09134v1
• [cs.IT]Optimal Online Transmission Policy for Energy-Constrained Wireless-Powered Communication Networks
Xian Li, Xiangyun Zhou, Derrick Wing Kwan Ng, Changyin Sun
http://arxiv.org/abs/1902.09071v1
• [cs.IT]Optimal Resource Allocation for Wireless Powered Mobile Edge Computing with Dynamic Task Arrivals
Feng Wang, Hong Xing, Jie Xu
http://arxiv.org/abs/1902.08779v1
• [cs.IT]Secrecy Rates for a Channel With Two Senders and Two Receivers
Hassan ZivariFard, Matthieu Bloch, Aria Nosratinia
http://arxiv.org/abs/1902.08657v1
• [cs.IT]Secret Key Capacity For Multipleaccess Channel With Public Feedback
Himanshu Tyagi, Shun Watanabe
http://arxiv.org/abs/1902.08970v1
• [cs.IT]The Capacity of Memoryless Channels with Sampled Cyclostationary Gaussian Noise
Nir Shlezinger, Emeka Abakasanga, Ron Dabora, Yonina C. Eldar
http://arxiv.org/abs/1902.09005v1
• [cs.IT]The Capacity of Private Information Retrieval from Heterogeneous Uncoded Caching Databases
Karim Banawan, Batuhan Arasli, Yi-Peng Wei, Sennur Ulukus
http://arxiv.org/abs/1902.09512v1
• [cs.IT]Wasserstein GAN Can Perform PCA
Jaewoong Cho, Changho Suh
http://arxiv.org/abs/1902.09073v1
• [cs.LG]A Convex Relaxation Barrier to Tight Robust Verification of Neural Networks
Hadi Salman, Greg Yang, Huan Zhang, Cho-Jui Hsieh, Pengchuan Zhang
http://arxiv.org/abs/1902.08722v1
• [cs.LG]A Degeneracy Framework for Scalable Graph Autoencoders
Guillaume Salha, Romain Hennequin, Viet Anh Tran, Michalis Vazirgiannis
http://arxiv.org/abs/1902.08813v1
• [cs.LG]A Driving Intention Prediction Method Based on Hidden Markov Model for Autonomous Driving
Shiwen Liu, Kan Zheng, Long Zhao, Pingzhi Fan
http://arxiv.org/abs/1902.09068v1
• [cs.LG]A Theoretical Analysis of Contrastive Unsupervised Representation Learning
Sanjeev Arora, Hrishikesh Khandeparkar, Mikhail Khodak, Orestis Plevrakis, Nikunj Saunshi
http://arxiv.org/abs/1902.09229v1
• [cs.LG]Adaptive Estimators Show Information Compression in Deep Neural Networks
Ivan Chelombiev, Conor Houghton, Cian O'Donnell
http://arxiv.org/abs/1902.09037v1
• [cs.LG]Adversarial attacks hidden in plain sight
Jan Philip Göpfert, Heiko Wersing, Barbara Hammer
http://arxiv.org/abs/1902.09286v1
• [cs.LG]Batch Virtual Adversarial Training for Graph Convolutional Networks
Zhijie Deng, Yinpeng Dong, Jun Zhu
http://arxiv.org/abs/1902.09192v1
• [cs.LG]CFM-BD: a distributed rule induction algorithm for building Compact Fuzzy Models in Big Data classification problems
Mikel Elkano, Jose Sanz, Edurne Barrenechea, Humberto Bustince, Mikel Galar
http://arxiv.org/abs/1902.09357v1
• [cs.LG]Deep Bayesian Multi-Target Learning for Recommender Systems
Qi Wang, Zhihui Ji, Huasheng Liu, Binqiang Zhao
http://arxiv.org/abs/1902.09154v1
• [cs.LG]Drug-drug interaction prediction based on co-medication patterns and graph matching
Wen-Hao Chiang, Li Shen, Lang Li, Xia Ning
http://arxiv.org/abs/1902.08675v1
• [cs.LG]Efficient Path Prediction for Semi-Supervised and Weakly Supervised Hierarchical Text Classification
Huiru Xiao, Xin Liu, Yangqiu Song
http://arxiv.org/abs/1902.09347v1
• [cs.LG]Efficient Private Algorithms for Learning Halfspaces
Huy L. Nguyen, Jonathan Ullman, Lydia Zakynthinou
http://arxiv.org/abs/1902.09009v1
• [cs.LG]Field-aware Neural Factorization Machine for Click-Through Rate Prediction
Li Zhang, Weichen Shen, Shijian Li, Gang Pan
http://arxiv.org/abs/1902.09096v1
• [cs.LG]GraphFlow: A New Graph Convolutional Network Based on Parallel Flows
Feng Ji, Jielong Yang, Wee Peng Tay
http://arxiv.org/abs/1902.09173v1
• [cs.LG]Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation
Soochan Lee, Junsoo Ha, Gunhee Kim
http://arxiv.org/abs/1902.09225v1
• [cs.LG]High Dimensional Restrictive Federated Model Selection with multi-objective Bayesian Optimization over shifted distributions
Xudong Sun, Andrea Bommert, Florian Pfisterer, Jörg Rahnenführer, Michel Lang, Bernd Bischl
http://arxiv.org/abs/1902.08999v1
• [cs.LG]Improved Algorithm on Online Clustering of Bandits
Shuai Li, Wei Chen, Shuai Li, Kwong-Sak Leung
http://arxiv.org/abs/1902.09162v1
• [cs.LG]Iterative Channel Estimation for Discrete Denoising under Channel Uncertainty
Hongjoon Ahn, Taesup Moon
http://arxiv.org/abs/1902.08921v1
• [cs.LG]Joint Modeling of Dense and Incomplete Trajectories for Citywide Traffic Volume Inference
Xianfeng Tang, Boqing Gong, Yanwei Yu, Huaxiu Yao, Yandong Li, Haiyong Xie, Xiaoyu Wang
http://arxiv.org/abs/1902.09255v1
• [cs.LG]Learning Hash Function through Codewords
Yinjie Huang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
http://arxiv.org/abs/1902.08639v1
• [cs.LG]Learning protein sequence embeddings using information from structure
Tristan Bepler, Bonnie Berger
http://arxiv.org/abs/1902.08661v1
• [cs.LG]Machine Learning Aided Anonymization of Spatiotemporal Trajectory Datasets
Sina Shaham, Ming Ding, Bo Liu, Zihuai Lin, Jun Li
http://arxiv.org/abs/1902.08934v1
• [cs.LG]Medical Multimodal Classifiers Under Scarce Data Condition
Faik Aydin, Maggie Zhang, Michelle Ananda-Rajah, Gholamreza Haffari
http://arxiv.org/abs/1902.08888v1
• [cs.LG]Modularity as a Means for Complexity Management in Neural Networks Learning
David Castillo-Bolado, Cayetano Guerra-Artal, Mario Hernandez-Tejera
http://arxiv.org/abs/1902.09240v1
• [cs.LG]Multi-Label Network Classification via Weighted Personalized Factorizations
Ahmed Rashed, Josif Grabocka, Lars Schmidt-Thieme
http://arxiv.org/abs/1902.09294v1
• [cs.LG]Neural Reverse Engineering of Stripped Binaries
Yaniv David, Uri Alon, Eran Yahav
http://arxiv.org/abs/1902.09122v1
• [cs.LG]ORACLE: Order Robust Adaptive Continual LEarning
Jaehong Yoon, Saehoon Kim, Eunho Yang, Sung Ju Hwang
http://arxiv.org/abs/1902.09432v1
• [cs.LG]Online Control with Adversarial Disturbances
Naman Agarwal, Brian Bullins, Elad Hazan, Sham M. Kakade, Karan Singh
http://arxiv.org/abs/1902.08721v1
• [cs.LG]Pragmatic classification of movement primitives for stroke rehabilitation
Avinash Parnandi, Jasim Uddin, Dawn M. Nilsen, Heidi Schambra
http://arxiv.org/abs/1902.08697v1
• [cs.LG]Rapidly Adapting Moment Estimation
Guoqiang Zhang, Kenta Niwa, W. Bastiaan Kleijn
http://arxiv.org/abs/1902.09030v1
• [cs.LG]S-TRIGGER: Continual State Representation Learning via Self-Triggered Generative Replay
Hugo Caselles-Dupré, Michael Garcia-Ortiz, David Filliat
http://arxiv.org/abs/1902.09434v1
• [cs.LG]Statistical Method to Model the Quality Inconsistencies of the Welding Process
Mohammad Aminisharifabad, Qingyu Yang
http://arxiv.org/abs/1902.08869v1
• [cs.LG]The MBPEP: a deep ensemble pruning algorithm providing high quality uncertainty prediction
Ruihan Hu, Qijun Huang, Sheng Chang, Hao Wang, Jin He
http://arxiv.org/abs/1902.09238v1
• [cs.LG]Training GANs with Centripetal Acceleration
Wei Peng, Yuhong Dai, Hui Zhang, Lizhi Cheng
http://arxiv.org/abs/1902.08949v1
• [cs.LG]Transfer Learning for Non-Intrusive Load Monitoring
Michele DIncecco, Stefano Squartini, Mingjun Zhong
http://arxiv.org/abs/1902.08835v1
• [cs.LG]Truth Inference at Scale: A Bayesian Model for Adjudicating Highly Redundant Crowd Annotations
Yuan Li, Benjamin I. P. Rubinstein, Trevor Cohn
http://arxiv.org/abs/1902.08918v1
• [cs.LG]Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach
Minyoung Kim, Pritish Sahu, Behnam Gholami, Vladimir Pavlovic
http://arxiv.org/abs/1902.08727v1
• [cs.LG]Wasserstein-Wasserstein Auto-Encoders
Shunkang Zhang, Yuan Gao, Yuling Jiao, Jin Liu, Yang Wang, Can Yang
http://arxiv.org/abs/1902.09323v1
• [cs.LG]When Relaxations Go Bad: "Differentially-Private" Machine Learning
Bargav Jayaraman, David Evans
http://arxiv.org/abs/1902.08874v1
• [cs.LO]Experimental Study on CTL model checking using Machine Learning
Weijun ZHU
http://arxiv.org/abs/1902.08789v1
• [cs.MA]Anytime Heuristic for Weighted Matching Through Altruism-Inspired Behavior
Panayiotis Danassis, Aris Filos-Ratsikas, Boi Faltings
http://arxiv.org/abs/1902.09359v1
• [math.ST]A Robust Unscented Transformation for Uncertain Moments
Hugo T. M. Kussaba, João Y. Ishihara, Leonardo R. A. X. Menezes
http://arxiv.org/abs/1902.09293v1
• [math.ST]De-Biasing The Lasso With Degrees-of-Freedom Adjustment
Pierre C. Bellec, Cun-Hui Zhang
http://arxiv.org/abs/1902.08885v1
• [math.ST]Goodness-of-fit Tests for the Bivariate Poisson Distribution
Francisco Novoa-Muñoz
http://arxiv.org/abs/1902.08936v1
• [math.ST]Matrix denoising for weighted loss functions and heterogeneous signals
William Leeb
http://arxiv.org/abs/1902.09474v1
• [math.ST]Nonlinear generalization of the single index model
Zeljko Kereta, Timo Klock, Valeriya Naumova
http://arxiv.org/abs/1902.09024v1
• [math.ST]Sampling Sup-Normalized Spectral Functions for Brown-Resnick Processes
Marco Oesting, Martin Schlather, Claudia Schillings
http://arxiv.org/abs/1902.09230v1
• [math.ST]Weak convergence theory for Poisson sampling designs
Leo Pasquazzi
http://arxiv.org/abs/1902.09169v1
• [stat.ME]Bayesian Modeling of Microbiome Data for Differential Abundance Analysis
Qiwei Li, Shuang Jiang, Andrew Y. Koh, Guanghua Xiao, Xiaowei Zhan
http://arxiv.org/abs/1902.08741v1
• [stat.ME]Hypotheses Testing from Complex Survey Data Using Bootstrap Weights: A Unified Approach
Jae-kwang Kim, J. N. K. Rao, Zhonglei Wang
http://arxiv.org/abs/1902.08944v1
• [stat.ME]Logistic principal component analysis via non-convex singular value thresholding
Yipeng Song, Johan A. Westerhuis, Age K. Smilde
http://arxiv.org/abs/1902.09486v1
• [stat.ME]Multiscale quantile regression
Laura Jula Vanegas, Merle Behr and, Axel Munk
http://arxiv.org/abs/1902.09321v1
• [stat.ME]PC priors for residual correlation parameters in one-factor mixed models
Massimo Ventrucci, Daniela Cocchi, Gemma Burgazzi, Alex Laini
http://arxiv.org/abs/1902.08828v1
• [stat.ML]A Formalization of The Natural Gradient Method for General Similarity Measures
Anton Mallasto, Tom Dela Haije, Aasa Feragen
http://arxiv.org/abs/1902.08959v1
• [stat.ML]Adversarial Reinforcement Learning under Partial Observability in Software-Defined Networking
Yi Han, David Hubczenko, Paul Montague, Olivier De Vel, Tamas Abraham, Benjamin I. P. Rubinstein, Christopher Leckie, Tansu Alpcan, Sarah Erfani
http://arxiv.org/abs/1902.09062v1
• [stat.ML]Artificial Constraints and Lipschitz Hints for Unconstrained Online Learning
Ashok Cutkosky
http://arxiv.org/abs/1902.09013v1
• [stat.ML]Bayesian Anomaly Detection and Classification
Ethan Roberts, Bruce A. Bassett, Michelle Lochner
http://arxiv.org/abs/1902.08627v1
• [stat.ML]Beating SGD Saturation with Tail-Averaging and Minibatching
Nicole Mücke, Gergely Neu, Lorenzo Rosasco
http://arxiv.org/abs/1902.08668v1
• [stat.ML]Combining Online Learning Guarantees
Ashok Cutkosky
http://arxiv.org/abs/1902.09003v1
• [stat.ML]Distributionally Robust Reinforcement Learning
Elena Smirnova, Elvis Dohmatob, Jérémie Mary
http://arxiv.org/abs/1902.08708v1
• [stat.ML]Spatial Analysis Made Easy with Linear Regression and Kernels
Philip Milton, Emanuele Giorgi, Samir Bhatt
http://arxiv.org/abs/1902.08679v1
• [stat.ML]The Generalized Complex Kernel Least-Mean-Square Algorithm
Rafael Boloix-Tortosa, Juan José Murillo-Fuentes, Sotirios A. Tsaftaris
http://arxiv.org/abs/1902.08692v1
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