今日学术视野(2019.2.6)
cs.AI - 人工智能
cs.CL - 计算与语言
cs.CV - 机器视觉与模式识别
cs.CY - 计算与社会
cs.DB - 数据库
cs.DC - 分布式、并行与集群计算
cs.DL - 数字图书馆
cs.DS - 数据结构与算法
cs.HC - 人机接口
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.MM - 多媒体
cs.NA - 数值分析
cs.NE - 神经与进化计算
cs.PF - 计算性能
cs.RO - 机器人学
cs.SD - 声音处理
cs.SI - 社交网络与信息网络
econ.EM - 计量经济学
eess.IV - 图像与视频处理
eess.SP - 信号处理
math.MG -公制几何
math.OC - 优化与控制
math.ST - 统计理论
nucl-th - 核理论
quant-ph - 量子物理
stat.AP - 应用统计
stat.ME - 统计方法论
stat.ML - (统计)机器学习
• [cs.AI]Belief dynamics extraction
• [cs.AI]Discovering Implicational Knowledge in Wikidata
• [cs.AI]Distinction Graphs and Graphtropy: A Formalized Phenomenological Layer Underlying Classical and Quantum Entropy, Observational Semantics and Cognitive Computation
• [cs.AI]Evaluation of Multidisciplinary Effects of Artificial Intelligence with Optimization Perspective
• [cs.AI]Generating Dialogue Agents via Automated Planning
• [cs.AI]Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning
• [cs.AI]Optimization of Project Scheduling Activities in Dynamic CPM and PERT Networks Using Genetic Algorithms
• [cs.AI]Progressive Explanation Generation for Human-robot Teaming
• [cs.AI]Solving Nurse Scheduling Problem Using Constraint Programming Technique
• [cs.AI]Solving The Exam Scheduling Problems in Central Exams With Genetic Algorithms
• [cs.AI]The Natural Language of Actions
• [cs.CL]A Comprehensive Exploration on WikiSQL with Table-Aware Word Contextualization
• [cs.CL]An Argument-Marker Model for Syntax-Agnostic Proto-Role Labeling
• [cs.CL]An Effective Approach to Unsupervised Machine Translation
• [cs.CL]Character-based Surprisal as a Model of Human Reading in the Presence of Errors
• [cs.CL]Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers
• [cs.CL]Fine-Grained Temporal Relation Extraction
• [cs.CL]Graph Neural Networks with Generated Parameters for Relation Extraction
• [cs.CL]How to Write High-quality News on Social Network? Predicting News Quality by Mining Writing Style
• [cs.CL]Improving Question Answering with External Knowledge
• [cs.CL]Inferring Concept Hierarchies from Text Corpora via Hyperbolic Embeddings
• [cs.CL]Insertion-based Decoding with Automatically Inferred Generation Order
• [cs.CL]Making a Case for Social Media Corpus for Detecting Depression
• [cs.CL]Natural Language Processing, Sentiment Analysis and Clinical Analytics
• [cs.CL]Neural Extractive Text Summarization with Syntactic Compression
• [cs.CL]Query-oriented text summarization based on hypergraph transversals
• [cs.CL]Review Conversational Reading Comprehension
• [cs.CL]Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference
• [cs.CL]Strategies for Structuring Story Generation
• [cs.CL]Two New Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala-English
• [cs.CL]Universal Lemmatizer: A Sequence to Sequence Model for Lemmatizing Universal Dependencies Treebanks
• [cs.CL]Unsupervised Clinical Language Translation
• [cs.CL]Word Embeddings for Sentiment Analysis: A Comprehensive Empirical Survey
• [cs.CV]'Squeeze & Excite' Guided Few-Shot Segmentation of Volumetric Images
• [cs.CV]3D point cloud registration with shape constraint
• [cs.CV]A Layer-Based Sequential Framework for Scene Generation with GANs
• [cs.CV]Automatic Lesion Boundary Segmentation in Dermoscopic Images with Ensemble Deep Learning Methods
• [cs.CV]Automatic trajectory measurement of large numbers of crowded objects
• [cs.CV]Collaborative Quantization for Cross-Modal Similarity Search
• [cs.CV]Compatible and Diverse Fashion Image Inpainting
• [cs.CV]DFuseNet: Deep Fusion of RGB and Sparse Depth Information for Image Guided Dense Depth Completion
• [cs.CV]Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network
• [cs.CV]DeepPBM: Deep Probabilistic Background Model Estimation from Video Sequences
• [cs.CV]Depthwise Convolution is All You Need for Learning Multiple Visual Domains
• [cs.CV]Domain invariant hierarchical embedding for grocery products recognition
• [cs.CV]Dual Path Multi-Scale Fusion Networks with Attention for Crowd Counting
• [cs.CV]End-to-End Single Image Fog Removal using Enhanced Cycle Consistent Adversarial Networks
• [cs.CV]End-to-end feature fusion siamese network for adaptive visual tracking
• [cs.CV]Hierarchical Photo-Scene Encoder for Album Storytelling
• [cs.CV]Implicit 3D Orientation Learning for 6D Object Detection from RGB Images
• [cs.CV]Jumping Manifolds: Geometry Aware Dense Non-Rigid Structure from Motion
• [cs.CV]MICIK: MIning Cross-Layer Inherent Similarity Knowledge for Deep Model Compression
• [cs.CV]Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog
• [cs.CV]Night Time Haze and Glow Removal using Deep Dilated Convolutional Network
• [cs.CV]Online Multi-Object Tracking with Dual Matching Attention Networks
• [cs.CV]Pairwise Teacher-Student Network for Semi-Supervised Hashing
• [cs.CV]Real-Time Freespace Segmentation on Autonomous Robots for Detection of Obstacles and Drop-Offs
• [cs.CV]Real-time Prediction of Automotive Collision Risk from Monocular Video
• [cs.CV]Saliency Tubes: Visual Explanations for Spatio-Temporal Convolutions
• [cs.CV]Self-Binarizing Networks
• [cs.CV]Supervised Quantization for Similarity Search
• [cs.CV]Towards Pedestrian Detection Using RetinaNet in ECCV 2018 Wider Pedestrian Detection Challenge
• [cs.CV]Towards an Interactive and Interpretable CAD System to Support Proximal Femur Fracture Classification
• [cs.CY]Assessing the Usages of LMS at KAU and Proposing FORCE Strategy for the Diffusion
• [cs.CY]Big Data and Social/Medical Sciences: State of the Art and Future Trends
• [cs.CY]Google Classroom as a Tool of Support of Blended Learning for Geography Students
• [cs.CY]Smart Web Services (SmartWS) -- The Future of Services on the Web
• [cs.DB]A Billion Updates per Second Using 30,000 Hierarchical In-Memory D4M Databases
• [cs.DB]A Question Answering System Using Graph-Pattern Association Rules (QAGPAR) On YAGO Knowledge Base
• [cs.DB]Declarative Data Analytics: a Survey
• [cs.DC]An Alternative Paradigm for Developing and Pricing Storage on Smart Contract Platforms
• [cs.DC]BottleNet: A Deep Learning Architecture for Intelligent Mobile Cloud Computing Services
• [cs.DC]Hop: Heterogeneity-Aware Decentralized Training
• [cs.DC]Learning-based Dynamic Cache Management in a Cloud
• [cs.DC]On the Practicality of Smart Contract PKI
• [cs.DL]Filtering journal impact factor rank by specific parameters
• [cs.DL]The relationship between usage and citations in an open access mega journal
• [cs.DS]A Unified Framework for Marketing Budget Allocation
• [cs.HC]Exploring Temporal Dependencies in Multimodal Referring Expressions with Mixed Reality
• [cs.IR]A Multi-Resolution Word Embedding for Document Retrieval from Large Unstructured Knowledge Bases
• [cs.IR]An end-to-end Generative Retrieval Method for Sponsored Search Engine --Decoding Efficiently into a Closed Target Domain
• [cs.IR]Enhanced Hierarchical Music Structure Annotations via Feature Level Similarity Fusion
• [cs.IR]Joint Cluster Unary Loss for Efficient Cross-Modal Hashing
• [cs.IR]RELINE: Point-of-Interest Recommendations using Multiple Network Embeddings
• [cs.IR]Recommender Systems Notation: Proposed Common Notation for Teaching and Research
• [cs.IR]Sequential Evaluation and Generation Framework for Combinatorial Recommender System
• [cs.IR]Value-aware Recommendation based on Reinforced Profit Maximization in E-commerce Systems
• [cs.IT]A New Codebook Design for Analog Beamforming in Millimeter-wave Communication
• [cs.IT]Finite-Blocklength Performance of Sequential Transmission over BSC with Noiseless Feedback
• [cs.IT]Joint User Selection, Power Allocation, and Precoding Design with Imperfect CSIT for Multi-Cell MU-MIMO Downlink Systems
• [cs.IT]New Constellation Design and Bit Mapping for Dual Mode OFDM-IM
• [cs.IT]On the Bias of Directed Information Estimators
• [cs.IT]Outage Performance in Secure Cooperative NOMA
• [cs.IT]Performance Analysis of Joint Radar and Communication using OFDM and OTFS
• [cs.IT]Rank weights for arbitrary finite field extensions
• [cs.IT]Resource Allocation in Green Dense Cellular Networks: Complexity and Algorithms
• [cs.IT]Secrecy Transmission in Large-Scale UAV-Enabled Wireless Networks
• [cs.IT]Self-Tuning Spectral Clustering for Adaptive Tracking Areas Design in 5G Ultra-Dense Networks
• [cs.IT]Semi-Supervised Learning Detector for MU-MIMO Systems with One-bit ADCs
• [cs.IT]Semidefinite programming bounds for error-correcting codes
• [cs.IT]TCM-NOMA: Joint Multi-user Codeword Design and Detection in Trellis Coded Modulation based NOMA for Beyond 5G
• [cs.IT]Transmission strategies for cell-free massive mimo with limited capacity fronthaul links
• [cs.LG]2-D Embedding of Large and High-dimensional Data with Minimal Memory and Computational Time Requirements
• [cs.LG]A Generalization Theory of Gradient Descent for Learning Over-parameterized Deep ReLU Networks
• [cs.LG]A Meta-MDP Approach to Exploration for Lifelong Reinforcement Learning
• [cs.LG]A New Algorithm for Non-stationary Contextual Bandits: Efficient, Optimal, and Parameter-free
• [cs.LG]A New Family of Neural Networks Provably Resistant to Adversarial Attacks
• [cs.LG]A Relational Tucker Decomposition for Multi-Relational Link Prediction
• [cs.LG]A Spatial-Temporal Decomposition Based Deep Neural Network for Time Series Forecasting
• [cs.LG]Active Automata Learning with Adaptive Distinguishing Sequences
• [cs.LG]Adaptive stochastic gradient algorithms on Riemannian manifolds
• [cs.LG]An Empirical Study on Regularization of Deep Neural Networks by Local Rademacher Complexity
• [cs.LG]Asymmetric Valleys: Beyond Sharp and Flat Local Minima
• [cs.LG]Bayesian semi-supervised learning for uncertainty-calibrated prediction of molecular properties and active learning
• [cs.LG]Can SGD Learn Recurrent Neural Networks with Provable Generalization?
• [cs.LG]CapStore: Energy-Efficient Design and Management of the On-Chip Memory for CapsuleNet Inference Accelerators
• [cs.LG]Certified Reinforcement Learning with Logic Guidance
• [cs.LG]CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning
• [cs.LG]Collaborative GAN Sampling
• [cs.LG]Deep Learning for Vertex Reconstruction of Neutrino-Nucleus Interaction Events with Combined Energy and Time Data
• [cs.LG]Deep One-Class Classification Using Data Splitting
• [cs.LG]Efficient Learning of Discrete Graphical Models
• [cs.LG]Efficient estimation of AUC in a sliding window
• [cs.LG]Embodied Multimodal Multitask Learning
• [cs.LG]Finite-Time Error Bounds For Linear Stochastic Approximation and TD Learning
• [cs.LG]First-Order Regret Analysis of Thompson Sampling
• [cs.LG]Graph Warp Module: an Auxiliary Module for Boosting the Power of Graph Neural Networks
• [cs.LG]Incremental Learning with Maximum Entropy Regularization: Rethinking Forgetting and Intransigence
• [cs.LG]Learned Indexes for Dynamic Workloads
• [cs.LG]Learning Counterfactual Representations for Estimating Individual Dose-Response Curves
• [cs.LG]Learning Linear Dynamical Systems with Semi-Parametric Least Squares
• [cs.LG]Learning User Preferences via Reinforcement Learning with Spatial Interface Valuing
• [cs.LG]Machine Learning for Seizure Type Classification: Setting the benchmark
• [cs.LG]Meta Particle Flow for Sequential Bayesian Inference
• [cs.LG]Minimax experimental design: Bridging the gap between statistical and worst-case approaches to least squares regression
• [cs.LG]Nonparametric Curve Alignment
• [cs.LG]On Generalization Error Bounds of Noisy Gradient Methods for Non-Convex Learning
• [cs.LG]Online Multiclass Classification Based on Prediction Margin for Partial Feedback
• [cs.LG]PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos
• [cs.LG]Parameter-Efficient Transfer Learning for NLP
• [cs.LG]Re-examination of the Role of Latent Variables in Sequence Modeling
• [cs.LG]Robustness of Generalized Learning Vector Quantization Models against Adversarial Attacks
• [cs.LG]SNN under Attack: are Spiking Deep Belief Networks vulnerable to Adversarial Examples?
• [cs.LG]Stochastic Gradient Descent for Nonconvex Learning without Bounded Gradient Assumptions
• [cs.LG]Study of Robust Distributed Diffusion RLS Algorithms with Side Information for Adaptive Networks
• [cs.LG]The Efficacy of SHIELD under Different Threat Models
• [cs.LG]Theoretical evidence for adversarial robustness through randomization: the case of the Exponential family
• [cs.LG]Towards Federated Learning at Scale: System Design
• [cs.LG]Understanding Composition of Word Embeddings via Tensor Decomposition
• [cs.LG]Uniform-in-Time Weak Error Analysis for Stochastic Gradient Descent Algorithms via Diffusion Approximation
• [cs.LG]When Collaborative Filtering Meets Reinforcement Learning
• [cs.MM]Real-Time Steganalysis for Stream Media Based on Multi-channel Convolutional Sliding Windows
• [cs.NA]Phoenix: An Epidemic Approach to Time Reconstruction
• [cs.NE]Evaluating MAP-Elites on Constrained Optimization Problems
• [cs.NE]Medical Diagnosis with a Novel SVM-CoDOA Based Hybrid Approach
• [cs.NE]Online Diversity Control in Symbolic Regression via a Fast Hash-based Tree Similarity Measure
• [cs.NE]Robust Environmental Sound Recognition with Sparse Key-point Encoding and Efficient Multi-spike Learning
• [cs.PF]A Framework for Allocating Server Time to Spot and On-demand Services in Cloud Computing
• [cs.RO]A Hybrid Control Design for Autonomous Vehicles at Uncontrolled Intersections
• [cs.RO]A Sequential Two-Step Algorithm for Fast Generation of Vehicle Racing Trajectories
• [cs.RO]Application Specific Drone Simulators: Recent Advances and Challenges
• [cs.RO]Enabling Robots to Infer how End-Users Teach and Learn through Human-Robot Interaction
• [cs.RO]Estimation with Fast Landmark Selection in Robot Visual Navigation
• [cs.RO]From Commands to Goal-based Dialogs: A Roadmap to Achieve Natural Language Interaction in RoboCup@Home
• [cs.RO]Path Tracking of Highly Dynamic Autonomous Vehicle Trajectories via Iterative Learning Control
• [cs.RO]RoboCup@Home: Summarizing achievements in over eleven years of competition
• [cs.RO]When Exceptions are the Norm: Exploring the Role of Consent in HRI
• [cs.SD]Deep Autotuner: A Data-Driven Approach to Natural-Sounding Pitch Correction for Singing Voice in Karaoke Performances
• [cs.SI]A model for meme popularity growth in social networking systems based on biological principle and human interest dynamics
• [cs.SI]Polarization and Fluctuations in Signed Social Networks
• [cs.SI]Uncovering Political Promotion in China: A Network Analysis of Patronage Relationship in Autocracy
• [econ.EM]Factor Investing: Hierarchical Ensemble Learning
• [eess.IV]Fully Convolutional Networks for Monocular Retinal Depth Estimation and Optic Disc-Cup Segmentation
• [eess.SP]UAV-aided urban target tracking system based on edge computing
• [math.MG]A Delsarte-Style Proof of the Bukh-Cox Bound
• [math.OC]Stochastic first-order methods: non-asymptotic and computer-aided analyses via potential functions
• [math.ST]-norm inequality using q-moment and its applications
• [math.ST]A note on the geometry of the MAP partition in some Normal Bayesian Mixture Models
• [math.ST]Bandwidth Selection for the Wolverton-Wagner Estimator
• [math.ST]Dependence properties and Bayesian inference for asymmetric multivariate copulas
• [math.ST]Directional differentiability for supremum-type functionals: statistical applications
• [math.ST]Estimating the Mixing Time of Ergodic Markov Chains
• [math.ST]Identifiability and consistent estimation of nonparametric translation hidden Markov models with general state space
• [math.ST]Local minimax rates for closeness testing of discrete distributions
• [math.ST]Lower Bounds for Locally Private Estimation via Communication Complexity
• [math.ST]New Risk Bounds for 2D Total Variation Denoising
• [math.ST]Non-asymptotic Results for Langevin Monte Carlo: Coordinate-wise and Black-box Sampling
• [math.ST]Numerical performance of Penalized Comparison to Overfitting for multivariate kernel density estimation
• [math.ST]On asymptotically efficient maximum likelihood estimation of linear functionals in Laplace measurement error models
• [math.ST]On the bias, risk and consistency of sample means in multi-armed bandits
• [math.ST]Optimal upper bounds on expected kth record values from IGFR distributions
• [math.ST]Ordinal Patterns in Clusters of Subsequent Extremes of Regularly Varying Time Series
• [math.ST]Quantitative Central Limit Theorems for Discrete Stochastic Processes
• [math.ST]Recycled Two-Stage Estimation in Nonlinear Mixed Effects Regression Models
• [nucl-th]Bayesian optimization in ab initio nuclear physics
• [quant-ph]Distributional property testing in a quantum world
• [quant-ph]Quantum Speedup in Adaptive Boosting of Binary Classification
• [stat.AP]Automatic Hyperparameter Tuning Method for Local Outlier Factor, with Applications to Anomaly Detection
• [stat.AP]Forecasting Intra-Hour Imbalances in Electric Power Systems
• [stat.AP]Interpretation of the individual effect under treatment spillover
• [stat.AP]Non-decimated Complex Wavelet Spectral Tools with Applications
• [stat.AP]Structural transformation replication and extrapolation by dynamical general equilibrium feedbacks
• [stat.AP]The reliability of an environmental epidemiology meta-analysis, a case study
• [stat.ME]Bayesian views of generalized additive modelling
• [stat.ME]Diagnostics for Stochastic Emulators
• [stat.ME]Global Fitting of the Response Surface via Estimating Multiple Contours of a Simulator
• [stat.ME]High-dimensional semi-supervised learning: in search for optimal inference of the mean
• [stat.ME]Honest Confidence Sets for High-Dimensional Regression by Projection and Shrinkage
• [stat.ME]Optimal FDR control in the two-group model
• [stat.ME]Optimal block designs for small experiments on networks
• [stat.ME]Predicting the Output From a Stochastic Computer Model When a Deterministic Approximation is Available
• [stat.ML]Adversarial Networks and Autoencoders: The Primal-Dual Relationship and Generalization Bounds
• [stat.ML]Causal Effect Identification from Multiple Incomplete Data Sources: A General Search-based Approach
• [stat.ML]Complexity, Statistical Risk, and Metric Entropy of Deep Nets Using Total Path Variation
• [stat.ML]Computational Limitations in Robust Classification and Win-Win Results
• [stat.ML]Constructing the Matrix Multilayer Perceptron and its Application to the VAE
• [stat.ML]Is There an Analog of Nesterov Acceleration for MCMC?
• [stat.ML]New Algorithms for Multiplayer Bandits when Arm Means Vary Among Players
• [stat.ML]Non-asymptotic Analysis of Biased Stochastic Approximation Scheme
• [stat.ML]Numerical Integration Method for Training Neural Network
• [stat.ML]Predictive Uncertainty Quantification with Compound Density Networks
• [stat.ML]Randomized Allocation with Nonparametric Estimation for Contextual Multi-Armed Bandits with Delayed Rewards
• [stat.ML]Supervised classification via minimax probabilistic transformations
• [stat.ML]Variational Bayesian Decision-making for Continuous Utilities
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• [cs.AI]Belief dynamics extraction
Arun Kumar, Zhengwei Wu, Xaq Pitkow, Paul Schrater
http://arxiv.org/abs/1902.00673v1
• [cs.AI]Discovering Implicational Knowledge in Wikidata
Tom Hanika, Maximilian Marx, Gerd Stumme
http://arxiv.org/abs/1902.00916v1
• [cs.AI]Distinction Graphs and Graphtropy: A Formalized Phenomenological Layer Underlying Classical and Quantum Entropy, Observational Semantics and Cognitive Computation
Ben Goertzel
http://arxiv.org/abs/1902.00741v1
• [cs.AI]Evaluation of Multidisciplinary Effects of Artificial Intelligence with Optimization Perspective
M. H. Calp
http://arxiv.org/abs/1902.01362v1
• [cs.AI]Generating Dialogue Agents via Automated Planning
Adi Botea, Christian Muise, Shubham Agarwal, Oznur Alkan, Ondrej Bajgar, Elizabeth Daly, Akihiro Kishimoto, Luis Lastras, Radu Marinescu, Josef Ondrej, Pablo Pedemonte, Miroslav Vodolan
http://arxiv.org/abs/1902.00771v1
• [cs.AI]Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning
Arthur Juliani, Ahmed Khalifa, Vincent-Pierre Berges, Jonathan Harper, Hunter Henry, Adam Crespi, Julian Togelius, Danny Lange
http://arxiv.org/abs/1902.01378v1
• [cs.AI]Optimization of Project Scheduling Activities in Dynamic CPM and PERT Networks Using Genetic Algorithms
Muhammed Hanefi Calp, Muhammet Ali Akcayol
http://arxiv.org/abs/1902.00659v1
• [cs.AI]Progressive Explanation Generation for Human-robot Teaming
Yu Zhang, Mehrdad Zakershahrak
http://arxiv.org/abs/1902.00604v1
• [cs.AI]Solving Nurse Scheduling Problem Using Constraint Programming Technique
O. M. Alade, A. O. Amusat
http://arxiv.org/abs/1902.01193v1
• [cs.AI]Solving The Exam Scheduling Problems in Central Exams With Genetic Algorithms
Murat Dener, M. Hanefi Calp
http://arxiv.org/abs/1902.01360v1
• [cs.AI]The Natural Language of Actions
Guy Tennenholtz, Shie Mannor
http://arxiv.org/abs/1902.01119v1
• [cs.CL]A Comprehensive Exploration on WikiSQL with Table-Aware Word Contextualization
Wonseok Hwang, Jinyeung Yim, Seunghyun Park, Minjoon Seo
http://arxiv.org/abs/1902.01069v1
• [cs.CL]An Argument-Marker Model for Syntax-Agnostic Proto-Role Labeling
Juri Opitz, Anette Frank
http://arxiv.org/abs/1902.01349v1
• [cs.CL]An Effective Approach to Unsupervised Machine Translation
Mikel Artetxe, Gorka Labaka, Eneko Agirre
http://arxiv.org/abs/1902.01313v1
• [cs.CL]Character-based Surprisal as a Model of Human Reading in the Presence of Errors
Michael Hahn, Frank Keller, Yonatan Bisk, Yonatan Belinkov
http://arxiv.org/abs/1902.00595v1
• [cs.CL]Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers
Haoyu Wang, Ming Tan, Mo Yu, Shiyu Chang, Dakuo Wang, Kun Xu, Xiaoxiao Guo, Saloni Potdar
http://arxiv.org/abs/1902.01030v1
• [cs.CL]Fine-Grained Temporal Relation Extraction
SIddharth Vashishtha, Benjamin Van Durme, Aaron Steven White
http://arxiv.org/abs/1902.01390v1
• [cs.CL]Graph Neural Networks with Generated Parameters for Relation Extraction
Hao Zhu, Yankai Lin, Zhiyuan Liu, Jie Fu, Tat-seng Chua, Maosong Sun
http://arxiv.org/abs/1902.00756v1
• [cs.CL]How to Write High-quality News on Social Network? Predicting News Quality by Mining Writing Style
Yuting Yang, Juan Cao, Mingyan Lu, Jintao Li, Chia-Wen Lin
http://arxiv.org/abs/1902.00750v1
• [cs.CL]Improving Question Answering with External Knowledge
Xiaoman Pan, Kai Sun, Dian Yu, Heng Ji, Dong Yu
http://arxiv.org/abs/1902.00993v1
• [cs.CL]Inferring Concept Hierarchies from Text Corpora via Hyperbolic Embeddings
Matt Le, Stephen Roller, Laetitia Papaxanthos, Douwe Kiela, Maximilian Nickel
http://arxiv.org/abs/1902.00913v1
• [cs.CL]Insertion-based Decoding with Automatically Inferred Generation Order
Jiatao Gu, Qi Liu, Kyunghyun Cho
http://arxiv.org/abs/1902.01370v1
• [cs.CL]Making a Case for Social Media Corpus for Detecting Depression
Adil Rajput, Samara Ahmed
http://arxiv.org/abs/1902.00702v1
• [cs.CL]Natural Language Processing, Sentiment Analysis and Clinical Analytics
Adil Rajput
http://arxiv.org/abs/1902.00679v1
• [cs.CL]Neural Extractive Text Summarization with Syntactic Compression
Jiacheng Xu, Greg Durrett
http://arxiv.org/abs/1902.00863v1
• [cs.CL]Query-oriented text summarization based on hypergraph transversals
Hadrien Van Lierde, Tommy W. S. Chow
http://arxiv.org/abs/1902.00672v1
• [cs.CL]Review Conversational Reading Comprehension
Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
http://arxiv.org/abs/1902.00821v1
• [cs.CL]Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference
R. Thomas McCoy, Ellie Pavlick, Tal Linzen
http://arxiv.org/abs/1902.01007v1
• [cs.CL]Strategies for Structuring Story Generation
Angela Fan, Mike Lewis, Yann Dauphin
http://arxiv.org/abs/1902.01109v1
• [cs.CL]Two New Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala-English
Francisco Guzmán, Peng-Jen Chen, Myle Ott, Juan Pino, Guillaume Lample, Philipp Koehn, Vishrav Chaudhary, Marc'Aurelio Ranzato
http://arxiv.org/abs/1902.01382v1
• [cs.CL]Universal Lemmatizer: A Sequence to Sequence Model for Lemmatizing Universal Dependencies Treebanks
Jenna Kanerva, Filip Ginter, Tapio Salakoski
http://arxiv.org/abs/1902.00972v1
• [cs.CL]Unsupervised Clinical Language Translation
Wei-Hung Weng, Yu-An Chung, Peter Szolovits
http://arxiv.org/abs/1902.01177v1
• [cs.CL]Word Embeddings for Sentiment Analysis: A Comprehensive Empirical Survey
Erion Çano, Maurizio Morisio
http://arxiv.org/abs/1902.00753v1
• [cs.CV]'Squeeze & Excite' Guided Few-Shot Segmentation of Volumetric Images
Abhijit Guha Roy, Shayan Siddiqui, Sebastian Pölsterl, Nassir Navab, Christian Wachinger
http://arxiv.org/abs/1902.01314v1
• [cs.CV]3D point cloud registration with shape constraint
Swapna Agarwal, Brojeshwar Bhowmick
http://arxiv.org/abs/1902.01061v1
• [cs.CV]A Layer-Based Sequential Framework for Scene Generation with GANs
Mehmet Ozgur Turkoglu, William Thong, Luuk Spreeuwers, Berkay Kicanaoglu
http://arxiv.org/abs/1902.00671v1
• [cs.CV]Automatic Lesion Boundary Segmentation in Dermoscopic Images with Ensemble Deep Learning Methods
Manu Goyal, Moi Hoon Yap
http://arxiv.org/abs/1902.00809v1
• [cs.CV]Automatic trajectory measurement of large numbers of crowded objects
Hui Li, Ye Liu, Yan Qiu Chen
http://arxiv.org/abs/1902.00835v1
• [cs.CV]Collaborative Quantization for Cross-Modal Similarity Search
Ting Zhang, Jingdong Wang
http://arxiv.org/abs/1902.00623v1
• [cs.CV]Compatible and Diverse Fashion Image Inpainting
Xintong Han, Zuxuan Wu, Weilin Huang, Matthew R. Scott, Larry S. Davis
http://arxiv.org/abs/1902.01096v1
• [cs.CV]DFuseNet: Deep Fusion of RGB and Sparse Depth Information for Image Guided Dense Depth Completion
Shreyas S. Shivakumar, Ty Nguyen, Steven W. Chen, Camillo J. Taylor
http://arxiv.org/abs/1902.00761v1
• [cs.CV]Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network
Shervin Minaee, Amirali Abdolrashidi
http://arxiv.org/abs/1902.01019v1
• [cs.CV]DeepPBM: Deep Probabilistic Background Model Estimation from Video Sequences
Amirreza Farnoosh, Behnaz Rezaei, Sarah Ostadabbas
http://arxiv.org/abs/1902.00820v1
• [cs.CV]Depthwise Convolution is All You Need for Learning Multiple Visual Domains
Yunhui Guo, Yandong Li, Rogerio Feris, Liqiang Wang, Tajana Rosing
http://arxiv.org/abs/1902.00927v1
• [cs.CV]Domain invariant hierarchical embedding for grocery products recognition
Alessio Tonioni, Luigi Di Stefano
http://arxiv.org/abs/1902.00760v1
• [cs.CV]Dual Path Multi-Scale Fusion Networks with Attention for Crowd Counting
Liang Zhu, Zhijian Zhao, Chao Lu, Yining Lin, Yao Peng, Tangren Yao
http://arxiv.org/abs/1902.01115v1
• [cs.CV]End-to-End Single Image Fog Removal using Enhanced Cycle Consistent Adversarial Networks
Wei Liu, Xianxu Hou, Jiang Duan, Guoping Qiu
http://arxiv.org/abs/1902.01374v1
• [cs.CV]End-to-end feature fusion siamese network for adaptive visual tracking
Dongyan Guo, Jun Wang, Weixuan Zhao, Ying Cui, Zhenhua Wang, Shengyong Chen
http://arxiv.org/abs/1902.01057v1
• [cs.CV]Hierarchical Photo-Scene Encoder for Album Storytelling
Bairui Wang, Lin Ma, Wei Zhang, Wenhao Jiang, Feng Zhang
http://arxiv.org/abs/1902.00669v1
• [cs.CV]Implicit 3D Orientation Learning for 6D Object Detection from RGB Images
Martin Sundermeyer, Zoltan-Csaba Marton, Maximilian Durner, Manuel Brucker, Rudolph Triebel
http://arxiv.org/abs/1902.01275v1
• [cs.CV]Jumping Manifolds: Geometry Aware Dense Non-Rigid Structure from Motion
Suryansh Kumar
http://arxiv.org/abs/1902.01077v1
• [cs.CV]MICIK: MIning Cross-Layer Inherent Similarity Knowledge for Deep Model Compression
Jie Zhang, Xiaolong Wang, Dawei Li, Shalini Ghosh, Abhishek Kolagunda, Yalin Wang
http://arxiv.org/abs/1902.00918v1
• [cs.CV]Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog
Zhe Gan, Yu Cheng, Ahmed EI Kholy, Linjie Li, Jingjing Liu, Jianfeng Gao
http://arxiv.org/abs/1902.00579v1
• [cs.CV]Night Time Haze and Glow Removal using Deep Dilated Convolutional Network
Shiba Kuanar, K. R. Rao, Dwarikanath Mahapatra, Monalisa Bilas
http://arxiv.org/abs/1902.00855v1
• [cs.CV]Online Multi-Object Tracking with Dual Matching Attention Networks
Ji Zhu, Hua Yang, Nian Liu, Minyoung Kim, Wenjun Zhang, Ming-Hsuan Yang
http://arxiv.org/abs/1902.00749v1
• [cs.CV]Pairwise Teacher-Student Network for Semi-Supervised Hashing
Shifeng Zhang, Jianmin Li, Bo Zhang
http://arxiv.org/abs/1902.00643v1
• [cs.CV]Real-Time Freespace Segmentation on Autonomous Robots for Detection of Obstacles and Drop-Offs
Anish Singhani
http://arxiv.org/abs/1902.00842v1
• [cs.CV]Real-time Prediction of Automotive Collision Risk from Monocular Video
Derek J. Phillips, Juan Carlos Aragon, Anjali Roychowdhury, Regina Madigan, Sunil Chintakindi, Mykel J. Kochenderfer
http://arxiv.org/abs/1902.01293v1
• [cs.CV]Saliency Tubes: Visual Explanations for Spatio-Temporal Convolutions
Alexandros Stergiou, Georgios Kapidis, Grigorios Kalliatakis, Christos Chrysoulas, Remco Veltkamp, Ronald Poppe
http://arxiv.org/abs/1902.01078v1
• [cs.CV]Self-Binarizing Networks
Fayez Lahoud, Radhakrishna Achanta, Pablo Márquez-Neila, Sabine Süsstrunk
http://arxiv.org/abs/1902.00730v1
• [cs.CV]Supervised Quantization for Similarity Search
Xiaojuan Wang, Ting Zhang, Guo-Jun Q, Jinhui Tang, Jingdong Wang
http://arxiv.org/abs/1902.00617v1
• [cs.CV]Towards Pedestrian Detection Using RetinaNet in ECCV 2018 Wider Pedestrian Detection Challenge
Md Ashraful Alam Milton
http://arxiv.org/abs/1902.01031v1
• [cs.CV]Towards an Interactive and Interpretable CAD System to Support Proximal Femur Fracture Classification
Amelia Jiménez-Sánchez, Anees Kazi, Shadi Albarqouni, Chlodwig Kirchhoff, Peter Biberthaler, Nassir Navab, Diana Mateus, Sonja Kirchhoff
http://arxiv.org/abs/1902.01338v1
• [cs.CY]Assessing the Usages of LMS at KAU and Proposing FORCE Strategy for the Diffusion
Rayed AlGhamdi, Adel Bahadad
http://arxiv.org/abs/1902.00953v1
• [cs.CY]Big Data and Social/Medical Sciences: State of the Art and Future Trends
Adil E. Rajput, Samara M. Ahmed
http://arxiv.org/abs/1902.00705v1
• [cs.CY]Google Classroom as a Tool of Support of Blended Learning for Geography Students
Olha Bondarenko, Svitlana Mantulenko, Andrey Pikilnyak
http://arxiv.org/abs/1902.00775v1
• [cs.CY]Smart Web Services (SmartWS) -- The Future of Services on the Web
Maria Maleshkova, Patrick Philipp, York Sure-Vetter, Rudi Studer
http://arxiv.org/abs/1902.00910v1
• [cs.DB]A Billion Updates per Second Using 30,000 Hierarchical In-Memory D4M Databases
Jeremy Kepner, Vijay Gadepally, Lauren Milechin, Siddharth Samsi, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Micheal Houle, Micheal Jones, Anne Klein, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Albert Reuther
http://arxiv.org/abs/1902.00846v1
• [cs.DB]A Question Answering System Using Graph-Pattern Association Rules (QAGPAR) On YAGO Knowledge Base
Wahyudi, Masayu Leylia Khodra, Ary Setijadi Prihatmanto, Carmadi Machbub
http://arxiv.org/abs/1902.00624v1
• [cs.DB]Declarative Data Analytics: a Survey
Nantia Makrynioti, Vasilis Vassalos
http://arxiv.org/abs/1902.01304v1
• [cs.DC]An Alternative Paradigm for Developing and Pricing Storage on Smart Contract Platforms
Christos Patsonakis, Mema Roussopoulos
http://arxiv.org/abs/1902.00881v1
• [cs.DC]BottleNet: A Deep Learning Architecture for Intelligent Mobile Cloud Computing Services
Amir Erfan Eshratifar, Amirhossein Esmaili, Massoud Pedram
http://arxiv.org/abs/1902.01000v1
• [cs.DC]Hop: Heterogeneity-Aware Decentralized Training
Qinyi Luo, Jinkun Lin, Youwei Zhuo, Xuehai Qian
http://arxiv.org/abs/1902.01064v1
• [cs.DC]Learning-based Dynamic Cache Management in a Cloud
Jinhwan Choi, Yu Gu, Jinoh Kim
http://arxiv.org/abs/1902.00795v1
• [cs.DC]On the Practicality of Smart Contract PKI
Christos Patsonakis, Katerina Samari, Aggelos Kiayias, Mema Roussopoulos
http://arxiv.org/abs/1902.00878v1
• [cs.DL]Filtering journal impact factor rank by specific parameters
Flavio C. D. Moraes
http://arxiv.org/abs/1902.00712v1
• [cs.DL]The relationship between usage and citations in an open access mega journal
Barbara McGillivray, Mathias Astell
http://arxiv.org/abs/1902.01333v1
• [cs.DS]A Unified Framework for Marketing Budget Allocation
Kui Zhao, Junhao Hua, Ling Yan, Qi Zhang, Huan Xu, Cheng Yang
http://arxiv.org/abs/1902.01128v1
• [cs.HC]Exploring Temporal Dependencies in Multimodal Referring Expressions with Mixed Reality
Elena Sibirtseva, Ali Ghadirzadeh, Iolanda Leite, Mårten Björkman, Danica Kragic
http://arxiv.org/abs/1902.01117v1
• [cs.IR]A Multi-Resolution Word Embedding for Document Retrieval from Large Unstructured Knowledge Bases
Tolgahan Cakaloglu, Xiaowei Xu
http://arxiv.org/abs/1902.00663v1
• [cs.IR]An end-to-end Generative Retrieval Method for Sponsored Search Engine --Decoding Efficiently into a Closed Target Domain
Yijiang Lian, Zhijie Chen, Jinlong Hu, Kefeng Zhang, Chunwei Yan, Muchenxuan Tong, Wenying Han, Hanju Guan, Ying Li, Ying Cao, Yang Yu, Zhigang Li, Xiaochun Liu, Yue Wang
http://arxiv.org/abs/1902.00592v1
• [cs.IR]Enhanced Hierarchical Music Structure Annotations via Feature Level Similarity Fusion
Christopher J. Tralie, Brian McFee
http://arxiv.org/abs/1902.01023v1
• [cs.IR]Joint Cluster Unary Loss for Efficient Cross-Modal Hashing
Shifeng Zhang, Jianmin Li, Bo Zhang
http://arxiv.org/abs/1902.00644v1
• [cs.IR]RELINE: Point-of-Interest Recommendations using Multiple Network Embeddings
Giannis Christoforidis, Pavlos Kefalas, Apostolos N. Papadopoulos, Yannis Manolopoulos
http://arxiv.org/abs/1902.00773v1
• [cs.IR]Recommender Systems Notation: Proposed Common Notation for Teaching and Research
Michael D. Ekstrand, Joseph A. Konstan
http://arxiv.org/abs/1902.01348v1
• [cs.IR]Sequential Evaluation and Generation Framework for Combinatorial Recommender System
Fan Wang, Xiaomin Fang, Lihang Liu, Yaxue Chen, Jiucheng Tao, Zhiming Peng, Cihang Jin, Hao Tian
http://arxiv.org/abs/1902.00245v2
• [cs.IR]Value-aware Recommendation based on Reinforced Profit Maximization in E-commerce Systems
Changhua Pei, Xinru Yang, Qing Cui, Xiao Lin, Fei Sun, Peng Jiang, Wenwu Ou, Yongfeng Zhang
http://arxiv.org/abs/1902.00851v1
• [cs.IT]A New Codebook Design for Analog Beamforming in Millimeter-wave Communication
Mehdi Ganji, Hongbing Cheng, Qi Zhan, Kee-Bong Song
http://arxiv.org/abs/1902.00838v1
• [cs.IT]Finite-Blocklength Performance of Sequential Transmission over BSC with Noiseless Feedback
Hengjie Yang, Gourav Khadge, Richard D. Wesel
http://arxiv.org/abs/1902.00593v1
• [cs.IT]Joint User Selection, Power Allocation, and Precoding Design with Imperfect CSIT for Multi-Cell MU-MIMO Downlink Systems
Jiwook Choi, Namyoon Lee, Song-Nam Hong, Giuseppe Caire
http://arxiv.org/abs/1902.00824v1
• [cs.IT]New Constellation Design and Bit Mapping for Dual Mode OFDM-IM
Kee-Hoon Kim
http://arxiv.org/abs/1902.00936v1
• [cs.IT]On the Bias of Directed Information Estimators
Gabriel Schamberg, Todd P. Coleman
http://arxiv.org/abs/1902.00580v1
• [cs.IT]Outage Performance in Secure Cooperative NOMA
Milad Abolpour, Mahtab Mirmohseni, Mohammad Reza Aref
http://arxiv.org/abs/1902.00948v1
• [cs.IT]Performance Analysis of Joint Radar and Communication using OFDM and OTFS
Lorenzo Gaudio, Mari Kobayashi, Björn Bissinger, Giuseppe Caire
http://arxiv.org/abs/1902.01184v1
• [cs.IT]Rank weights for arbitrary finite field extensions
Grégory Berhuy, Jean Fasel, Odile Garotta
http://arxiv.org/abs/1902.00733v1
• [cs.IT]Resource Allocation in Green Dense Cellular Networks: Complexity and Algorithms
Zoubeir Mlika, Elmahdi Driouch, Wessam Ajib
http://arxiv.org/abs/1902.00988v1
• [cs.IT]Secrecy Transmission in Large-Scale UAV-Enabled Wireless Networks
Jianping Yao, Jie Xu
http://arxiv.org/abs/1902.00836v1
• [cs.IT]Self-Tuning Spectral Clustering for Adaptive Tracking Areas Design in 5G Ultra-Dense Networks
Brahim Aamer, Hatim Chergui, Nouamane Chergui, Kamel Tourki, Mustapha Benjillali, Christos Verikoukis, Mérouane Debbah
http://arxiv.org/abs/1902.01342v1
• [cs.IT]Semi-Supervised Learning Detector for MU-MIMO Systems with One-bit ADCs
Seonho Kim, Song-Nam Hong
http://arxiv.org/abs/1902.00866v1
• [cs.IT]Semidefinite programming bounds for error-correcting codes
Frank Vallentin
http://arxiv.org/abs/1902.01253v1
• [cs.IT]TCM-NOMA: Joint Multi-user Codeword Design and Detection in Trellis Coded Modulation based NOMA for Beyond 5G
Boya Di, Lingyang Song, Yonghui Li, Geoffrey Ye Li
http://arxiv.org/abs/1902.01107v1
• [cs.IT]Transmission strategies for cell-free massive mimo with limited capacity fronthaul links
Hamed Masoumi, Mohammad Javad Emadi
http://arxiv.org/abs/1902.00700v1
• [cs.LG]2-D Embedding of Large and High-dimensional Data with Minimal Memory and Computational Time Requirements
Witold Dzwinel, Rafal Wcislo, Stan Matwin
http://arxiv.org/abs/1902.01108v1
• [cs.LG]A Generalization Theory of Gradient Descent for Learning Over-parameterized Deep ReLU Networks
Yuan Cao, Quanquan Gu
http://arxiv.org/abs/1902.01384v1
• [cs.LG]A Meta-MDP Approach to Exploration for Lifelong Reinforcement Learning
Francisco M. Garcia, Philip S. Thomas
http://arxiv.org/abs/1902.00843v1
• [cs.LG]A New Algorithm for Non-stationary Contextual Bandits: Efficient, Optimal, and Parameter-free
Yifang Chen, Chung-Wei Lee, Haipeng Luo, Chen-Yu Wei
http://arxiv.org/abs/1902.00980v1
• [cs.LG]A New Family of Neural Networks Provably Resistant to Adversarial Attacks
Rakshit Agrawal, Luca de Alfaro, David Helmbold
http://arxiv.org/abs/1902.01208v1
• [cs.LG]A Relational Tucker Decomposition for Multi-Relational Link Prediction
Yanjie Wang, Samuel Broscheit, Rainer Gemulla
http://arxiv.org/abs/1902.00898v1
• [cs.LG]A Spatial-Temporal Decomposition Based Deep Neural Network for Time Series Forecasting
Reza Asadi, Amelia Regan
http://arxiv.org/abs/1902.00636v1
• [cs.LG]Active Automata Learning with Adaptive Distinguishing Sequences
Markus Theo Frohme
http://arxiv.org/abs/1902.01139v1
• [cs.LG]Adaptive stochastic gradient algorithms on Riemannian manifolds
Hiroyuki Kasai, Pratik Jawanpuria, Bamdev Mishra
http://arxiv.org/abs/1902.01144v1
• [cs.LG]An Empirical Study on Regularization of Deep Neural Networks by Local Rademacher Complexity
Yingzhen Yang, Xingjian Li, Jun Huan
http://arxiv.org/abs/1902.00873v1
• [cs.LG]Asymmetric Valleys: Beyond Sharp and Flat Local Minima
Haowei He, Gao Huang, Yang Yuan
http://arxiv.org/abs/1902.00744v1
• [cs.LG]Bayesian semi-supervised learning for uncertainty-calibrated prediction of molecular properties and active learning
Yao Zhang, Alpha A. Lee
http://arxiv.org/abs/1902.00925v1
• [cs.LG]Can SGD Learn Recurrent Neural Networks with Provable Generalization?
Zeyuan Allen-Zhu, Yuanzhi Li
http://arxiv.org/abs/1902.01028v1
• [cs.LG]CapStore: Energy-Efficient Design and Management of the On-Chip Memory for CapsuleNet Inference Accelerators
Alberto Marchisio, Muhammad Shafique
http://arxiv.org/abs/1902.01151v1
• [cs.LG]Certified Reinforcement Learning with Logic Guidance
Mohammadhosein Hasanbeig, Alessandro Abate, Daniel Kroening
http://arxiv.org/abs/1902.00778v1
• [cs.LG]CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning
Jinhyun So, Basak Guler, A. Salman Avestimehr, Payman Mohassel
http://arxiv.org/abs/1902.00641v1
• [cs.LG]Collaborative GAN Sampling
Yuejiang Liu, Parth Kothari, Alexandre Alahi
http://arxiv.org/abs/1902.00813v1
• [cs.LG]Deep Learning for Vertex Reconstruction of Neutrino-Nucleus Interaction Events with Combined Energy and Time Data
Linghao Song, Fan Chen, Steven R. Young, Catherine D. Schuman, Gabriel Perdue, Thomas E. Potok
http://arxiv.org/abs/1902.00743v1
• [cs.LG]Deep One-Class Classification Using Data Splitting
Patrick Schlachter, Yiwen Liao, Bin Yang
http://arxiv.org/abs/1902.01194v1
• [cs.LG]Efficient Learning of Discrete Graphical Models
Marc Vuffray, Sidhant Misra, Andrey Y. Lokhov
http://arxiv.org/abs/1902.00600v1
• [cs.LG]Efficient estimation of AUC in a sliding window
Nikolaj Tatti
http://arxiv.org/abs/1902.00632v1
• [cs.LG]Embodied Multimodal Multitask Learning
Devendra Singh Chaplot, Lisa Lee, Ruslan Salakhutdinov, Devi Parikh, Dhruv Batra
http://arxiv.org/abs/1902.01385v1
• [cs.LG]Finite-Time Error Bounds For Linear Stochastic Approximation and TD Learning
R. Srikant, Lei Ying
http://arxiv.org/abs/1902.00923v1
• [cs.LG]First-Order Regret Analysis of Thompson Sampling
Sébastien Bubeck, Mark Sellke
http://arxiv.org/abs/1902.00681v1
• [cs.LG]Graph Warp Module: an Auxiliary Module for Boosting the Power of Graph Neural Networks
Katsuhiko Ishiguro, Shin-ichi Maeda, Masanori Koyama
http://arxiv.org/abs/1902.01020v1
• [cs.LG]Incremental Learning with Maximum Entropy Regularization: Rethinking Forgetting and Intransigence
Dahyun Kim, Jihwan Bae, Yeonsik Jo, Jonghyun Choi
http://arxiv.org/abs/1902.00829v1
• [cs.LG]Learned Indexes for Dynamic Workloads
Chuzhe Tang, Zhiyuan Dong, Minjie Wang, Zhaoguo Wang, Haibo Chen
http://arxiv.org/abs/1902.00655v1
• [cs.LG]Learning Counterfactual Representations for Estimating Individual Dose-Response Curves
Patrick Schwab, Lorenz Linhardt, Stefan Bauer, Joachim M. Buhmann, Walter Karlen
http://arxiv.org/abs/1902.00981v1
• [cs.LG]Learning Linear Dynamical Systems with Semi-Parametric Least Squares
Max Simchowitz, Ross Boczar, Benjamin Recht
http://arxiv.org/abs/1902.00768v1
• [cs.LG]Learning User Preferences via Reinforcement Learning with Spatial Interface Valuing
Miguel Alonso Jr
http://arxiv.org/abs/1902.00719v1
• [cs.LG]Machine Learning for Seizure Type Classification: Setting the benchmark
Subhrajit Roy, Umar Asif, Jianbin Tang, Stefan Harrer
http://arxiv.org/abs/1902.01012v1
• [cs.LG]Meta Particle Flow for Sequential Bayesian Inference
Xinshi Chen, Hanjun Dai, Le Song
http://arxiv.org/abs/1902.00640v1
• [cs.LG]Minimax experimental design: Bridging the gap between statistical and worst-case approaches to least squares regression
Michał Dereziński, Kenneth L. Clarkson, Michael W. Mahoney, Manfred K. Warmuth
http://arxiv.org/abs/1902.00995v1
• [cs.LG]Nonparametric Curve Alignment
Marwan Mattar, Michael Ross, Erik Learned-Miller
http://arxiv.org/abs/1902.00626v1
• [cs.LG]On Generalization Error Bounds of Noisy Gradient Methods for Non-Convex Learning
Jian Li, Xuanyuan Luo, Mingda Qiao
http://arxiv.org/abs/1902.00621v1
• [cs.LG]Online Multiclass Classification Based on Prediction Margin for Partial Feedback
Takuo Kaneko, Issei Sato, Masashi Sugiyama
http://arxiv.org/abs/1902.01056v1
• [cs.LG]PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos
Paavo Parmas, Carl Edward Rasmussen, Jan Peters, Kenji Doya
http://arxiv.org/abs/1902.01240v1
• [cs.LG]Parameter-Efficient Transfer Learning for NLP
Neil Houlsby, Andrei Giurgiu, Stanislaw Jastrzebski, Bruna Morrone, Quentin de Laroussilhe, Andrea Gesmundo, Mona Attariyan, Sylvain Gelly
http://arxiv.org/abs/1902.00751v1
• [cs.LG]Re-examination of the Role of Latent Variables in Sequence Modeling
Zihang Dai, Guokun Lai, Yiming Yang, Shinjae Yoo
http://arxiv.org/abs/1902.01388v1
• [cs.LG]Robustness of Generalized Learning Vector Quantization Models against Adversarial Attacks
Sascha Saralajew, Lars Holdijk, Maike Rees, Thomas Villmann
http://arxiv.org/abs/1902.00577v1
• [cs.LG]SNN under Attack: are Spiking Deep Belief Networks vulnerable to Adversarial Examples?
Alberto Marchisio, Giorgio Nanfa, Faiq Khalid, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique
http://arxiv.org/abs/1902.01147v1
• [cs.LG]Stochastic Gradient Descent for Nonconvex Learning without Bounded Gradient Assumptions
Yunwen Lei, Ting Hu, Ke Tang
http://arxiv.org/abs/1902.00908v1
• [cs.LG]Study of Robust Distributed Diffusion RLS Algorithms with Side Information for Adaptive Networks
Y. Yu, H. Zhao, R. C. de Lamare, Y. Zakharov, L. Lu
http://arxiv.org/abs/1902.01005v1
• [cs.LG]The Efficacy of SHIELD under Different Threat Models
Cory Cornelius
http://arxiv.org/abs/1902.00541v1
• [cs.LG]Theoretical evidence for adversarial robustness through randomization: the case of the Exponential family
Rafael Pinot, Laurent Meunier, Alexandre Araujo, Hisashi Kashima, Florian Yger, Cédric Gouy-Pailler, Jamal Atif
http://arxiv.org/abs/1902.01148v1
• [cs.LG]Towards Federated Learning at Scale: System Design
Keith Bonawitz, Hubert Eichner, Wolfgang Grieskamp, Dzmitry Huba, Alex Ingerman, Vladimir Ivanov, Chloe Kiddon, Jakub Konecny, Stefano Mazzocchi, H. Brendan McMahan, Timon Van Overveldt, David Petrou, Daniel Ramage, Jason Roselander
http://arxiv.org/abs/1902.01046v1
• [cs.LG]Understanding Composition of Word Embeddings via Tensor Decomposition
Abraham Frandsen, Rong Ge
http://arxiv.org/abs/1902.00613v1
• [cs.LG]Uniform-in-Time Weak Error Analysis for Stochastic Gradient Descent Algorithms via Diffusion Approximation
Yuanyuan Feng, Tingran Gao, Lei Li, Jian-Guo Liu, Yulong Lu
http://arxiv.org/abs/1902.00635v1
• [cs.LG]When Collaborative Filtering Meets Reinforcement Learning
Yu Lei, Wenjie Li
http://arxiv.org/abs/1902.00715v1
• [cs.MM]Real-Time Steganalysis for Stream Media Based on Multi-channel Convolutional Sliding Windows
Zhongliang Yang, Hao Yang, Yuting Hu, Yongfeng Huang, Yu-Jin Zhang
http://arxiv.org/abs/1902.01286v1
• [cs.NA]Phoenix: An Epidemic Approach to Time Reconstruction
Jayant Gupchup, Douglas Carlson, Răzvan Musăloiu-E., Alex Szalay, Andreas Terzis
http://arxiv.org/abs/1902.00808v1
• [cs.NE]Evaluating MAP-Elites on Constrained Optimization Problems
Stefano Fioravanzo, Giovanni Iacca
http://arxiv.org/abs/1902.00703v1
• [cs.NE]Medical Diagnosis with a Novel SVM-CoDOA Based Hybrid Approach
M. Hanefi Calp
http://arxiv.org/abs/1902.00685v1
• [cs.NE]Online Diversity Control in Symbolic Regression via a Fast Hash-based Tree Similarity Measure
Bogdan Burlacu, Michael Affenzeller, Gabriel Kronberger, Michael Kommenda
http://arxiv.org/abs/1902.00882v1
• [cs.NE]Robust Environmental Sound Recognition with Sparse Key-point Encoding and Efficient Multi-spike Learning
Qiang Yu, Yanli Yao, Longbiao Wang, Huajin Tang, Jianwu Dang, Kay Chen Tan
http://arxiv.org/abs/1902.01094v1
• [cs.PF]A Framework for Allocating Server Time to Spot and On-demand Services in Cloud Computing
Xiaohu Wu, Francesco De Pellegrini, Guanyu Gao, Giuliano Casale
http://arxiv.org/abs/1902.01321v1
• [cs.RO]A Hybrid Control Design for Autonomous Vehicles at Uncontrolled Intersections
Nitin R. Kapania, Vijay Govindarajan, Francesco Borrelli, J. Christian Gerdes
http://arxiv.org/abs/1902.00597v1
• [cs.RO]A Sequential Two-Step Algorithm for Fast Generation of Vehicle Racing Trajectories
Nitin R. Kapania, John Subosits, J Christian Gerdes
http://arxiv.org/abs/1902.00606v1
• [cs.RO]Application Specific Drone Simulators: Recent Advances and Challenges
Aakif Mairaj, Asif I. Baba, Ahmad Y. Javaid
http://arxiv.org/abs/1902.00616v1
• [cs.RO]Enabling Robots to Infer how End-Users Teach and Learn through Human-Robot Interaction
Dylan P. Losey, Marcia K. O'Malley
http://arxiv.org/abs/1902.00646v1
• [cs.RO]Estimation with Fast Landmark Selection in Robot Visual Navigation
Hossein K. Mousavi, Nader Motee
http://arxiv.org/abs/1902.01026v1
• [cs.RO]From Commands to Goal-based Dialogs: A Roadmap to Achieve Natural Language Interaction in RoboCup@Home
Mauricio Matamoros, Karin Harbusch, Dietrich Paulus
http://arxiv.org/abs/1902.00754v1
• [cs.RO]Path Tracking of Highly Dynamic Autonomous Vehicle Trajectories via Iterative Learning Control
Nitin R. Kapania, J. Christian Gerdes
http://arxiv.org/abs/1902.00611v1
• [cs.RO]RoboCup@Home: Summarizing achievements in over eleven years of competition
Mauricio Matamoros, Viktor Seib, Raphael Memmesheimer, Dietrich Paulus
http://arxiv.org/abs/1902.00758v1
• [cs.RO]When Exceptions are the Norm: Exploring the Role of Consent in HRI
Vasanth Sarathy, Thomas Arnold, Matthias Scheutz
http://arxiv.org/abs/1902.01320v1
• [cs.SD]Deep Autotuner: A Data-Driven Approach to Natural-Sounding Pitch Correction for Singing Voice in Karaoke Performances
Sanna Wager, George Tzanetakis, Cheng-i Wang, Lijiang Guo, Aswin Sivaraman, Minje Kim
http://arxiv.org/abs/1902.00956v1
• [cs.SI]A model for meme popularity growth in social networking systems based on biological principle and human interest dynamics
Le-Zhi Wang, Zhi-Dan Zhao, Jun-Jie Jiang, Bing-Hui Guo, Xiao Wang, Zi-Gang Huang, Ying-Cheng Lai
http://arxiv.org/abs/1902.00533v1
• [cs.SI]Polarization and Fluctuations in Signed Social Networks
Pedro Cisneros-Velarde, Kevin S. Chan, Francesco Bullo
http://arxiv.org/abs/1902.00658v1
• [cs.SI]Uncovering Political Promotion in China: A Network Analysis of Patronage Relationship in Autocracy
Zhengxuan Wu, Jason Luo, Xiyu Zhang
http://arxiv.org/abs/1902.00625v1
• [econ.EM]Factor Investing: Hierarchical Ensemble Learning
Guanhao Feng, Jingyu He
http://arxiv.org/abs/1902.01015v1
• [stat.ML]Adversarial Networks and Autoencoders: The Primal-Dual Relationship and Generalization Bounds
Hisham Husain, Richard Nock, Robert C. Williamson
http://arxiv.org/abs/1902.00985v1
• [stat.ML]Causal Effect Identification from Multiple Incomplete Data Sources: A General Search-based Approach
Santtu Tikka, Antti Hyttinen, Juha Karvanen
http://arxiv.org/abs/1902.01073v1
• [stat.ML]Complexity, Statistical Risk, and Metric Entropy of Deep Nets Using Total Path Variation
Andrew R. Barron, Jason M. Klusowski
http://arxiv.org/abs/1902.00800v1
• [stat.ML]Computational Limitations in Robust Classification and Win-Win Results
Akshay Degwekar, Vinod Vaikuntanathan
http://arxiv.org/abs/1902.01086v1
• [stat.ML]Constructing the Matrix Multilayer Perceptron and its Application to the VAE
Jalil Taghia, Maria Bånkestad, Fredrik Lindsten, Thomas B. Schön
http://arxiv.org/abs/1902.01182v1
• [stat.ML]Is There an Analog of Nesterov Acceleration for MCMC?
Yi-An Ma, Niladri Chatterji, Xiang Cheng, Nicolas Flammarion, Peter Bartlett, Michael I. Jordan
http://arxiv.org/abs/1902.00996v1
• [stat.ML]New Algorithms for Multiplayer Bandits when Arm Means Vary Among Players
Emilie Kaufmann, Abbas Mehrabian
http://arxiv.org/abs/1902.01239v1
• [stat.ML]Non-asymptotic Analysis of Biased Stochastic Approximation Scheme
Belhal Karimi, Blazej Miasojedow, Eric Moulines, Hoi-To Wai
http://arxiv.org/abs/1902.00629v1
• [stat.ML]Numerical Integration Method for Training Neural Network
Sho Sonoda
http://arxiv.org/abs/1902.00648v1
• [stat.ML]Predictive Uncertainty Quantification with Compound Density Networks
Agustinus Kristiadi, Asja Fischer
http://arxiv.org/abs/1902.01080v1
• [stat.ML]Randomized Allocation with Nonparametric Estimation for Contextual Multi-Armed Bandits with Delayed Rewards
Sakshi Arya, Yuhong Yang
http://arxiv.org/abs/1902.00819v1
• [stat.ML]Supervised classification via minimax probabilistic transformations
Santiago Mazuelas, Andrea Zanoni, Aritz Perez
http://arxiv.org/abs/1902.00693v1
• [stat.ML]Variational Bayesian Decision-making for Continuous Utilities
Tomasz Kuśmierczyk, Joseph Sakaya, Arto Klami
http://arxiv.org/abs/1902.00792v1
