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.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.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 econ.EM - 计量经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 q-bio.NC - 神经元与认知 q-fin.GN - 通用财务 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
• [cs.AI]Assessing the Safety and Reliability of Autonomous Vehicles from Road Testing
• [cs.AI]Computational Flight Control: A Domain-Knowledge-Aided Deep Reinforcement Learning Approach
• [cs.AI]Continuous Relaxation of Symbolic Planner for One-Shot Imitation Learning
• [cs.AI]Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data
• [cs.AI]Search Algorithms for Mastermind
• [cs.CL]A Sensitivity Analysis of Attention-Gated Convolutional Neural Networks for Sentence Classification
• [cs.CL]Align, Mask and Select: A Simple Method for Incorporating Commonsense Knowledge into Language Representation Models
• [cs.CL]Are You for Real? Detecting Identity Fraud via Dialogue Interactions
• [cs.CL]Automated email Generation for Targeted Attacks using Natural Language
• [cs.CL]Bilingual Lexicon Induction with Semi-supervision in Non-Isometric Embedding Spaces
• [cs.CL]Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack
• [cs.CL]CFO: A Framework for Building Production NLP Systems
• [cs.CL]Concurrent Parsing of Constituency and Dependency
• [cs.CL]EmotionX-IDEA: Emotion BERT — an Affectional Model for Conversation
• [cs.CL]Encoder-Agnostic Adaptation for Conditional Language Generation
• [cs.CL]Fast End-to-End Wikification
• [cs.CL]Fine-grained Sentiment Analysis with Faithful Attention
• [cs.CL]Generating an Overview Report over Many Documents
• [cs.CL]Hard but Robust, Easy but Sensitive: How Encoder and Decoder Perform in Neural Machine Translation
• [cs.CL]Improving CAT Tools in the Translation Workflow: New Approaches and Evaluation
• [cs.CL]Language Graph Distillation for Low-Resource Machine Translation
• [cs.CL]Learning Conceptual-Contexual Embeddings for Medical Text
• [cs.CL]Leveraging sentence similarity in natural language generation: Improving beam search using range voting
• [cs.CL]Long and Diverse Text Generation with Planning-based Hierarchical Variational Model
• [cs.CL]Memory limitations are hidden in grammar
• [cs.CL]Message Passing Attention Networks for Document Understanding
• [cs.CL]Message Passing for Complex Question Answering over Knowledge Graphs
• [cs.CL]Neural Architectures for Nested NER through Linearization
• [cs.CL]Question Answering based Clinical Text Structuring Using Pre-trained Language Model
• [cs.CL]Recurrent Graph Syntax Encoder for Neural Machine Translation
• [cs.CL]RefNet: A Reference-aware Network for Background Based Conversation
• [cs.CL]Style Transfer for Texts: to Err is Human, but Error Margins Matter
• [cs.CL]TDAM: a Topic-Dependent Attention Model for Sentiment Analysis
• [cs.CL]The Transference Architecture for Automatic Post-Editing
• [cs.CL]Transductive Auxiliary Task Self-Training for Neural Multi-Task Models
• [cs.CL]Transfer in Deep Reinforcement Learning using Knowledge Graphs
• [cs.CL]TwistBytes — Hierarchical Classification at GermEval 2019: walking the fine line (of recall and precision)
• [cs.CL]UDPipe at SIGMORPHON 2019: Contextualized Embeddings, Regularization with Morphological Categories, Corpora Merging
• [cs.CL]UDS—DFKI Submission to the WMT2019 Similar Language Translation Shared Task
• [cs.CL]Understanding Undesirable Word Embedding Associations
• [cs.CL]Why So Down? The Role of Negative (and Positive) Pointwise Mutual Information in Distributional Semantics
• [cs.CV]A Co-analysis Framework for Exploring Multivariate Scientific Data
• [cs.CV]A Delay Metric for Video Object Detection: What Average Precision Fails to Tell
• [cs.CV]A Fast and Accurate One-Stage Approach to Visual Grounding
• [cs.CV]A Kings Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation
• [cs.CV]A New Technique of Camera Calibration: A Geometric Approach Based on Principal Lines
• [cs.CV]A Software to Detect OCC Emotion, Big-Five Personality and Hofstede Cultural Dimensions of Pedestrians from Video Sequences
• [cs.CV]A unified representation network for segmentation with missing modalities
• [cs.CV]Adaptative Inference Cost With Convolutional Neural Mixture Models
• [cs.CV]Adversarial Defense by Suppressing High-frequency Components
• [cs.CV]Aggregation via Separation: Boosting Facial Landmark Detector with Semi-Supervised Style Translation
• [cs.CV]Algorithm Selection for Image Quality Assessment
• [cs.CV]Anomaly Detection in Video Sequence with Appearance-Motion Correspondence
• [cs.CV]Attention on Attention for Image Captioning
• [cs.CV]Attentional Feature-Pair Relation Networks for Accurate Face Recognition
• [cs.CV]Bayesian Optimized 1-Bit CNNs
• [cs.CV]C-RPNs: Promoting Object Detection in real world via a Cascade Structure of Region Proposal Networks
• [cs.CV]CompenNet++: End-to-end Full Projector Compensation
• [cs.CV]Conv2Warp: An unsupervised deformable image registration with continuous convolution and warping
• [cs.CV]Convolutional Neural Network with Median Layers for Denoising Salt-and-Pepper Contaminations
• [cs.CV]Deep Meta Functionals for Shape Representation
• [cs.CV]Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild
• [cs.CV]Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks
• [cs.CV]Directionally Constrained Fully Convolutional Neural Network For Airborne Lidar Point Cloud Classification
• [cs.CV]Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning
• [cs.CV]Dynamic Graph Message Passing Networks
• [cs.CV]Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual Localization
• [cs.CV]Floor-SP: Inverse CAD for Floorplans by Sequential Room-wise Shortest Path
• [cs.CV]Fully Automated Image De-fencing using Conditional Generative Adversarial Networks
• [cs.CV]GLAMpoints: Greedily Learned Accurate Match points
• [cs.CV]Genetic Algorithms for the Optimization of Diffusion Parameters in Content-Based Image Retrieval
• [cs.CV]Geometric Disentanglement for Generative Latent Shape Models
• [cs.CV]Graph-Based Object Classification for Neuromorphic Vision Sensing
• [cs.CV]HumanMeshNet: Polygonal Mesh Recovery of Humans
• [cs.CV]Hybrid Deep Network for Anomaly Detection
• [cs.CV]Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features
• [cs.CV]IRNet: Instance Relation Network for Overlapping Cervical Cell Segmentation
• [cs.CV]Improved Techniques for Training Adaptive Deep Networks
• [cs.CV]In defense of OSVOS
• [cs.CV]Language Features Matter: Effective Language Representations for Vision-Language Tasks
• [cs.CV]Matching-based Depth Camera and Mirrors for 3D Reconstruction
• [cs.CV]Mono-SF: Multi-View Geometry Meets Single-View Depth for Monocular Scene Flow Estimation of Dynamic Traffic Scenes
• [cs.CV]Multi Target Tracking by Learning from Generalized Graph Differences
• [cs.CV]Multi-Garment Net: Learning to Dress 3D People from Images
• [cs.CV]Multi-Kernel Filtering: An Extension of Bilateral Filtering Using Image Context
• [cs.CV]Neural Re-Simulation for Generating Bounces in Single Images
• [cs.CV]Occlusion Robust Face Recognition Based on Mask Learning with PairwiseDifferential Siamese Network
• [cs.CV]OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching
• [cs.CV]On the Robustness of Human Pose Estimation
• [cs.CV]PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment
• [cs.CV]RANet: Ranking Attention Network for Fast Video Object Segmentation
• [cs.CV]RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution
• [cs.CV]Rotation Invariant Convolutions for 3D Point Clouds Deep Learning
• [cs.CV]SDIT: Scalable and Diverse Cross-domain Image Translation
• [cs.CV]SPA-GAN: Spatial Attention GAN for Image-to-Image Translation
• [cs.CV]Seq-SG2SL: Inferring Semantic Layout from Scene Graph Through Sequence to Sequence Learning
• [cs.CV]ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics
• [cs.CV]Some Aspects of Geometric Computer Vision for Analysing Dynamical Scenes focusing Automotive Applications
• [cs.CV]Training Deep Learning Models via Synthetic Data: Application in Unmanned Aerial Vehicles
• [cs.CV]U-CAM: Visual Explanation using Uncertainty based Class Activation Maps
• [cs.CV]Unsupervised Learning of Landmarks by Descriptor Vector Exchange
• [cs.CV]Video synthesis of human upper body with realistic fac
• [cs.CV]Weakly-supervised Action Localization with Background Modeling
• [cs.CV]What is needed for simple spatial language capabilities in VQA?
• [cs.CV]Zero Shot Learning for Multi-Modal Real Time Image Registration
• [cs.CY]”Computer Science for all”: Concepts to engage teenagers and non-CS students in technology
• [cs.CY]A Conceptual Framework for Successful E-commerce Smartphone Applications: The Context of GCC
• [cs.CY]Three Dimensions of Privacy Policies
• [cs.DC]DMap: A Distributed Blockchain-based Framework for Online Mapping in Smart City
• [cs.DC]Nakamoto Consensus with Verifiable Delay Puzzle
• [cs.DC]Numerically robust tetrahedron-based tomographic forward and backward projectors on parallel architectures
• [cs.DC]Performance report and optimized implementation of Weather & Climate Dwarfs on GPU, MIC and Optalysys Optical Processor
• [cs.DC]Performance report and optimized implementations of Weather & Climate dwarfs on multi-node systems
• [cs.DC]Projections of achievable performance for Weather & Climate Dwarfs, and for entire NWP applications, on hybrid architectures
• [cs.DC]Recommendations and specifications for data scope analysis tools
• [cs.DC]Report on energy-efficiency evaluation of several NWP model configurations
• [cs.DC]Report on the performance portability demonstrated for the relevant Weather & Climate Dwarfs
• [cs.DC]Report on workflow analysis for specific LAM applications
• [cs.DC]StreamNet: A DAG System with Streaming Graph Computing
• [cs.DC]System Evaluation of the Intel Optane Byte-addressable NVM
• [cs.DS]A Computational Model for Tensor Core Units
• [cs.DS]A Sharp Threshold Phenomenon for the Distributed Complexity of the Lovasz Local Lemma
• [cs.DS]Comparison-Based Indexing From First Principles
• [cs.GT]Gradient Methods for Solving Stackelberg Games
• [cs.HC]Sensors and Game Synchronization for Data Analysis in eSports
• [cs.HC]Towards Understanding of eSports Athletes’ Potentialities: The Sensing System for Data Collection and Analysis
• [cs.HC]Understanding Cyber Athletes Behaviour Through a Smart Chair: CS:GO and Monolith Team Scenario
• [cs.HC]eSports Pro-Players Behavior During the Game Events: Statistical Analysis of Data Obtained Using the Smart Chair
• [cs.IR]A Study of BERT for Non-Factoid Question-Answering under Passage Length Constraints
• [cs.IR]Accelerated learning from recommender systems using multi-armed bandit
• [cs.IR]Latent User Linking for Collaborative Cross Domain Recommendation
• [cs.IR]Learning Representations and Agents for Information Retrieval
• [cs.IR]Recommender Systems Fairness Evaluation via Generalized Cross Entropy
• [cs.IR]Relevance Proximity Graphs for Fast Relevance Retrieval
• [cs.IR]Shallow Domain Adaptive Embeddings for Sentiment Analysis
• [cs.IT]A Reinforcement Learning Framework for Optimizing Age-of-Information in RF-powered Communication Systems
• [cs.IT]Deep Learning based Channel Estimation for Massive MIMO with Mixed-Resolution ADCs
• [cs.IT]Energy-Efficient Proactive Caching for Fog Computing with Correlated Task Arrivals
• [cs.IT]Graph Fourier Transform Based on $\ell_1$ Norm Variation Minimization
• [cs.IT]Heterogeneous Coded Distributed Computing: Joint Design of File Allocation and Function Assignment
• [cs.IT]Modeling, Analysis, and Optimization of Caching in Multi-Antenna Small-Cell Networks
• [cs.IT]On the Capacity of Secure Distributed Matrix Multiplication
• [cs.IT]On the Performance of Splitting Receiver with Joint Coherent and Non-Coherent Processing
• [cs.IT]Scheduling Policies for Federated Learning in Wireless Networks
• [cs.IT]Some new Constructions of Coded Caching Schemes with Reduced Subpacketization
• [cs.IT]Sparse Bayesian Learning Using Approximate Message Passing with Unitary Transformation
• [cs.IT]Weight Distributions for Successive Cancellation Decoding of Polar Codes
• [cs.LG]A Batched Multi-Armed Bandit Approach to News Headline Testing
• [cs.LG]A Symbolic Neural Network Representation and its Application to Understanding, Verifying, and Patching Network
• [cs.LG]Across-Stack Profiling and Characterization of Machine Learning Models on GPUs
• [cs.LG]Automatic Compiler Based FPGA Accelerator for CNN Training
• [cs.LG]BOAH: A Tool Suite for Multi-Fidelity Bayesian Optimization & Analysis of Hyperparameters
• [cs.LG]CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text
• [cs.LG]Computing Linear Restrictions of Neural Networks
• [cs.LG]Deep Weisfeiler-Lehman Assignment Kernels via Multiple Kernel Learning
• [cs.LG]Deep neural network or dermatologist?
• [cs.LG]Demystifying Learning Rate Polices for High Accuracy Training of Deep Neural Networks
• [cs.LG]Distributional Negative Sampling for Knowledge Base Completion
• [cs.LG]ED2: Two-stage Active Learning for Error Detection — Technical Report
• [cs.LG]Efficient Discovery of Expressive Multi-label Rules using Relaxed Pruning
• [cs.LG]Implicit Deep Learning
• [cs.LG]Integrated Multi-omics Analysis Using Variational Autoencoders: Application to Pan-cancer Classification
• [cs.LG]Intrinsically Motivated Exploration for Automated Discovery of Patterns in Morphogenetic Systems
• [cs.LG]Investigating Convolutional Neural Networks using Spatial Orderness
• [cs.LG]Iterative Update and Unified Representation for Multi-Agent Reinforcement Learning
• [cs.LG]Mitigating Multi-Stage Cascading Failure by Reinforcement Learning
• [cs.LG]Modeling Time to Open of Emails with a Latent State for User Engagement Level
• [cs.LG]Nesterov Accelerated Gradient and Scale Invariance for Improving Transferability of Adversarial Examples
• [cs.LG]Neural Network Based Undersampling Techniques
• [cs.LG]PolyGAN: High-Order Polynomial Generators
• [cs.LG]Robust DCD-Based Recursive Adaptive Algorithms
• [cs.LG]Robust and Efficient Fuzzy C-Means Clustering Constrained on Flexible Sparsity
• [cs.LG]SPOCC: Scalable POssibilistic Classifier Combination — toward robust aggregation of classifiers
• [cs.LG]Structural Health Monitoring of Cantilever Beam, a Case Study — Using Bayesian Neural Network AND Deep Learning
• [cs.LG]Symmetric Cross Entropy for Robust Learning with Noisy Labels
• [cs.LG]The efficacy of various machine learning models for multi-class classification of RNA-seq expression data
• [cs.LG]Towards Assessing the Impact of Bayesian Optimization’s Own Hyperparameters
• [cs.LG]Transfer Learning-Based Label Proportions Method with Data of Uncertainty
• [cs.LG]VUSFA:Variational Universal Successor Features Approximator to Improve Transfer DRL for Target Driven Visual Navigation
• [cs.LG]Verification of Neural Network Control Policy Under Persistent Adversarial Perturbation
• [cs.LO]Directed Homotopy in Non-Positively Curved Spaces
• [cs.NE]Architecture Search by Estimation of Network Structure Distributions
• [cs.NE]Matrix Lie Maps and Neural Networks for Solving Differential Equations
• [cs.NE]Spike-Train Level Backpropagation for Training Deep Recurrent Spiking Neural Networks
• [cs.NE]The Runtime of the Compact Genetic Algorithm on Jump Functions
• [cs.RO]Contact Skill Imitation Learning for Robot-Independent Assembly Programming
• [cs.RO]How far should self-driving cars see? Effect of observation range on vehicle self-localization
• [cs.RO]Inverse Kinematics with Forward Dynamics Solvers for Sampled Motion Tracking
• [cs.RO]Long-Duration Fully Autonomous Operation of Rotorcraft Unmanned Aerial Systems for Remote-Sensing Data Acquisition
• [cs.RO]Scene Classification in Indoor Environments for Robots using Context Based Word Embeddings
• [cs.SD]Efficient Context Aggregation for End-to-End Speech Enhancement Using a Densely Connected Convolutional and Recurrent Network
• [cs.SE]An Autonomous Performance Testing Framework using Self-Adaptive Fuzzy Reinforcement Learning
• [cs.SI]Benchmarks for Graph Embedding Evaluation
• [cs.SI]Consistent Community Detection in Continuous-Time Networks of Relational Events
• [cs.SI]Modeling Islamist Extremist Communications on Social Media using Contextual Dimensions: Religion, Ideology, and Hate
• [cs.SI]Neural Dynamics on Complex Networks
• [econ.EM]Measuring international uncertainty using global vector autoregressions with drifting parameters
• [eess.AS]Two-Staged Acoustic Modeling Adaption for Robust Speech Recognition by the Example of German Oral History Interviews
• [eess.IV]A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing
• [eess.IV]Asynchronous Single-Photon 3D Imaging
• [eess.IV]Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior
• [eess.IV]Deep Active Lesion Segmentation
• [eess.IV]EigenRank by Committee: A Data Subset Selection and Failure Prediction paradigm for Robust Deep Learning based Medical Image Segmentation
• [eess.IV]Evaluation of an AI System for the Detection of Diabetic Retinopathy from Images Captured with a Handheld Portable Fundus Camera: the MAILOR AI study
• [eess.IV]Image Formation Model Guided Deep Image Super-Resolution
• [eess.IV]Locally Linear Embedding and fMRI feature selection in psychiatric classification
• [eess.IV]Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis
• [eess.IV]No-Reference Light Field Image Quality Assessment Based on Spatial-Angular Measurement
• [eess.SP]Comparing linear structure-based and data-driven latent spatial representations for sequence prediction
• [eess.SP]On the Adversarial Robustness of Subspace Learning
• [eess.SP]On the Age of Information of Short-Packet Communications with Packet Management
• [eess.SP]Propagation Channel Modeling by Deep learning Techniques
• [eess.SP]Wi-Fringe: Leveraging Text Semantics in WiFi CSI-Based Device-Free Named Gesture Recognition
• [eess.SY]Multi-Objective Evolutionary Framework for Non-linear System Identification: A Comprehensive Investigation
• [math.OC]Parametric Majorization for Data-Driven Energy Minimization Methods
• [math.PR]Black-box constructions for exchangeable sequences of random multisets
• [math.PR]Quantitative convergence rates for reversible Markov chains via strong random times
• [math.PR]Signature Cumulants, Ordered Partitions, and Independence of Stochastic Processes
• [math.ST]Beta-Binomial stick-breaking non-parametric prior
• [math.ST]Cumulants of multiinformation density in the case of a multivariate normal distribution
• [math.ST]Harmonic Analysis of Symmetric Random Graphs
• [math.ST]High dimensional statistical inference: theoretical development to data analytics
• [math.ST]Inference for continuous-time long memory randomly sampled processes
• [math.ST]Probability Estimation with Truncated Inverse Binomial Sampling
• [math.ST]Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data
• [math.ST]The Existence of Maximum Likelihood Estimate in High-Dimensional Generalized Linear Models with Binary Responses
• [q-bio.NC]Multi-View Broad Learning System for Primate Oculomotor Decision Decoding
• [q-fin.GN]Explicit Design For Strategy Formulation Frameworks
• [quant-ph]Quantum Expectation-Maximization Algorithm
• [quant-ph]Quantum Expectation-Maximization for Gaussian Mixture Models
• [stat.AP]Analyzing the Fine Structure of Distributions
• [stat.AP]Decline of COPD exacerbations in clinical trials over two decades — a systematic review and meta-regression
• [stat.AP]Geographically-dependent individual-level models for infectious diseases transmission
• [stat.AP]Hierarchical Bayesian Operational Modal Analysis: Theory and Computations
• [stat.CO]Computing Estimators of Dantzig Selector type via Column and Constraint Generation
• [stat.CO]Evaluation of extremal properties of GARCH(p,q) processes
• [stat.CO]Prune Sampling: a MCMC inference technique for discrete and deterministic Bayesian networks
• [stat.CO]Revisiting the balance heuristic for estimating normalising constants
• [stat.ME]A New Approach to Determine the Coefficient of Skewness and An Alternative Form of Boxplot
• [stat.ME]AdaptSPEC-X: Covariate Dependent Spectral Modeling of Multiple Nonstationary Time Series
• [stat.ME]Bayesian approach to Lorenz curve using time series grouped data
• [stat.ME]Block Nearest Neighboor Gaussian processes for large datasets
• [stat.ME]Empirical Likelihood Test for Diagonal Symmetry
• [stat.ME]Improving multilevel regression and poststratification with structured priors
• [stat.ME]Model-free Feature Screening with Projection Correlation and FDR Control with Knockoff Features
• [stat.ME]Optimal $2^K$ Paired Comparison Designs for Third-Order Interactions
• [stat.ME]Optimal Paired Comparison Experiments for Second-Order Interactions
• [stat.ME]Selection of Exponential-Family Random Graph Models via Held-Out Predictive Evaluation (HOPE)
• [stat.ME]Simultaneous estimation of normal means with side information
• [stat.ME]Spectral inference for large Stochastic Blockmodels with nodal covariates
• [stat.ML]A Consistent Independence Test for Multivariate Time-Series
• [stat.ML]A new asymmetric $ε$-insensitive pinball loss function based support vector quantile regression model
• [stat.ML]Gradient Boosting Machine: A Survey
• [stat.ML]Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds
• [stat.ML]SIRUS: making random forests interpretable
• [stat.ML]Towards Better Generalization: BP-SVRG in Training Deep Neural Networks
• [stat.ML]Weakly Supervised Segmentation by A Deep Geodesic Prior
·····································
• [cs.AI]Assessing the Safety and Reliability of Autonomous Vehicles from Road Testing
Xingyu Zhao, Valentin Robu, David Flynn, Kizito Salako, Lorenzo Strigini
http://arxiv.org/abs/1908.06540v1
• [cs.AI]Computational Flight Control: A Domain-Knowledge-Aided Deep Reinforcement Learning Approach
Hyo-Sang Shin, Shaoming He, Antonios Tsourdos
http://arxiv.org/abs/1908.06884v1
• [cs.AI]Continuous Relaxation of Symbolic Planner for One-Shot Imitation Learning
De-An Huang, Danfei Xu, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei, Juan Carlos Niebles
http://arxiv.org/abs/1908.06769v1
• [cs.AI]Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data
Johannes Czech, Moritz Willig, Alena Beyer, Kristian Kersting, Johannes Fürnkranz
http://arxiv.org/abs/1908.06660v1
• [cs.AI]Search Algorithms for Mastermind
Anthony D. Rhodes
http://arxiv.org/abs/1908.06183v1
• [cs.CL]A Sensitivity Analysis of Attention-Gated Convolutional Neural Networks for Sentence Classification
Yang Liu, Lixin Ji, Jianpeng Zhang, Chao Gao, Jinghua Qu
http://arxiv.org/abs/1908.06263v1
• [cs.CL]Align, Mask and Select: A Simple Method for Incorporating Commonsense Knowledge into Language Representation Models
Zhi-Xiu Ye, Qian Chen, Wen Wang, Zhen-Hua Ling
http://arxiv.org/abs/1908.06725v1
• [cs.CL]Are You for Real? Detecting Identity Fraud via Dialogue Interactions
Weikang Wang, Jiajun Zhang, Qian Li, Chengqing Zong, Zhifei Li
http://arxiv.org/abs/1908.06820v1
• [cs.CL]Automated email Generation for Targeted Attacks using Natural Language
Avisha Das, Rakesh Verma
http://arxiv.org/abs/1908.06893v1
• [cs.CL]Bilingual Lexicon Induction with Semi-supervision in Non-Isometric Embedding Spaces
Barun Patra, Joel Ruben Antony Moniz, Sarthak Garg, Matthew R. Gormley, Graham Neubig
http://arxiv.org/abs/1908.06625v1
• [cs.CL]Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack
Emily Dinan, Samuel Humeau, Bharath Chintagunta, Jason Weston
http://arxiv.org/abs/1908.06083v1
• [cs.CL]CFO: A Framework for Building Production NLP Systems
Rishav Chakravarti, Cezar Pendus, Andrzej Sakrajda, Anthony Ferritto, Lin Pan, Michael Glass, Vittorio Castelli, J. William Murdock, Radu Florian, Salim Roukos, Avirup Sil
http://arxiv.org/abs/1908.06121v1
• [cs.CL]Concurrent Parsing of Constituency and Dependency
Junru Zhou, Shuailiang Zhang, Hai Zhao
http://arxiv.org/abs/1908.06379v1
• [cs.CL]EmotionX-IDEA: Emotion BERT — an Affectional Model for Conversation
Yen-Hao Huang, Ssu-Rui Lee, Mau-Yun Ma, Yi-Hsin Chen, Ya-Wen Yu, Yi-Shin Chen
http://arxiv.org/abs/1908.06264v1
• [cs.CL]Encoder-Agnostic Adaptation for Conditional Language Generation
Zachary M. Ziegler, Luke Melas-Kyriazi, Sebastian Gehrmann, Alexander M. Rush
http://arxiv.org/abs/1908.06938v1
• [cs.CL]Fast End-to-End Wikification
Ilya Shnayderman, Liat Ein-Dor, Yosi Mass, Alon Halfon, Benjamin Sznajder, Artem Spector, Yoav Katz, Dafna Sheinwald, Ranit Aharonov, Noam Slonim
http://arxiv.org/abs/1908.06785v1
• [cs.CL]Fine-grained Sentiment Analysis with Faithful Attention
Ruiqi Zhong, Steven Shao, Kathleen McKeown
http://arxiv.org/abs/1908.06870v1
• [cs.CL]Generating an Overview Report over Many Documents
Jingwen Wang, Hao Zhang, Cheng Zhang, Wenjing Yang, Liqun Shao, Jie Wang
http://arxiv.org/abs/1908.06216v1
• [cs.CL]Hard but Robust, Easy but Sensitive: How Encoder and Decoder Perform in Neural Machine Translation
Tianyu He, Xu Tan, Tao Qin
http://arxiv.org/abs/1908.06259v1
• [cs.CL]Improving CAT Tools in the Translation Workflow: New Approaches and Evaluation
Mihaela Vela, Santanu Pal, Marcos Zampieri, Sudip Kumar Naskar, Josef van Genabith
http://arxiv.org/abs/1908.06140v1
• [cs.CL]Language Graph Distillation for Low-Resource Machine Translation
Tianyu He, Jiale Chen, Xu Tan, Tao Qin
http://arxiv.org/abs/1908.06258v1
• [cs.CL]Learning Conceptual-Contexual Embeddings for Medical Text
Xiao Zhang, Dejing Dou, Ji Wu
http://arxiv.org/abs/1908.06203v1
• [cs.CL]Leveraging sentence similarity in natural language generation: Improving beam search using range voting
Sebastian Borgeaud, Guy Emerson
http://arxiv.org/abs/1908.06288v1
• [cs.CL]Long and Diverse Text Generation with Planning-based Hierarchical Variational Model
Zhihong Shao, Minlie Huang, Jiangtao Wen, Wenfei Xu, Xiaoyan Zhu
http://arxiv.org/abs/1908.06605v1
• [cs.CL]Memory limitations are hidden in grammar
Carlos Gómez-Rodríguez, Morten H. Christiansen, Ramon Ferrer-i-Cancho
http://arxiv.org/abs/1908.06629v1
• [cs.CL]Message Passing Attention Networks for Document Understanding
Giannis Nikolentzos, Antoine J. -P. Tixier, Michalis Vazirgiannis
http://arxiv.org/abs/1908.06267v1
• [cs.CL]Message Passing for Complex Question Answering over Knowledge Graphs
Svitlana Vakulenko, Javier David Fernandez Garcia, Axel Polleres, Maarten de Rijke, Michael Cochez
http://arxiv.org/abs/1908.06917v1
• [cs.CL]Neural Architectures for Nested NER through Linearization
Jana Straková, Milan Straka, Jan Hajič
http://arxiv.org/abs/1908.06926v1
• [cs.CL]Question Answering based Clinical Text Structuring Using Pre-trained Language Model
Jiahui Qiu, Yangming Zhou, Zhiyuan Ma, Tong Ruan, Jinlin Liu, Jing Sun
http://arxiv.org/abs/1908.06606v1
• [cs.CL]Recurrent Graph Syntax Encoder for Neural Machine Translation
Liang Ding, Dacheng Tao
http://arxiv.org/abs/1908.06559v1
• [cs.CL]RefNet: A Reference-aware Network for Background Based Conversation
Chuan Meng, Pengjie Ren, Zhumin Chen, Christof Monz, Jun Ma, Maarten de Rijke
http://arxiv.org/abs/1908.06449v1
• [cs.CL]Style Transfer for Texts: to Err is Human, but Error Margins Matter
Alexey Tikhonov, Viacheslav Shibaev, Aleksander Nagaev, Aigul Nugmanova, Ivan P. Yamshchikov
http://arxiv.org/abs/1908.06809v1
• [cs.CL]TDAM: a Topic-Dependent Attention Model for Sentiment Analysis
Gabriele Pergola, Lin Gui, Yulan He
http://arxiv.org/abs/1908.06435v1
• [cs.CL]The Transference Architecture for Automatic Post-Editing
Santanu Pal, Hongfei Xu, Nico Herbig, Antonio Krueger, Josef van Genabith
http://arxiv.org/abs/1908.06151v1
• [cs.CL]Transductive Auxiliary Task Self-Training for Neural Multi-Task Models
Johannes Bjerva, Katharina Kann, Isabelle Augenstein
http://arxiv.org/abs/1908.06136v1
• [cs.CL]Transfer in Deep Reinforcement Learning using Knowledge Graphs
Prithviraj Ammanabrolu, Mark O. Riedl
http://arxiv.org/abs/1908.06556v1
• [cs.CL]TwistBytes — Hierarchical Classification at GermEval 2019: walking the fine line (of recall and precision)
Fernando Benites
http://arxiv.org/abs/1908.06493v1
• [cs.CL]UDPipe at SIGMORPHON 2019: Contextualized Embeddings, Regularization with Morphological Categories, Corpora Merging
Milan Straka, Jana Straková, Jan Hajič
http://arxiv.org/abs/1908.06931v1
• [cs.CL]UDS—DFKI Submission to the WMT2019 Similar Language Translation Shared Task
Santanu Pal, Marcos Zampieri, Josef van Genabith
http://arxiv.org/abs/1908.06138v1
• [cs.CL]Understanding Undesirable Word Embedding Associations
Kawin Ethayarajh, David Duvenaud, Graeme Hirst
http://arxiv.org/abs/1908.06361v1
• [cs.CL]Why So Down? The Role of Negative (and Positive) Pointwise Mutual Information in Distributional Semantics
Alexandre Salle, Aline Villavicencio
http://arxiv.org/abs/1908.06941v1
• [cs.CV]A Co-analysis Framework for Exploring Multivariate Scientific Data
Xiangyang He, Yubo Tao, Qirui Wang, Hai Lin
http://arxiv.org/abs/1908.06576v1
• [cs.CV]A Delay Metric for Video Object Detection: What Average Precision Fails to Tell
Huizi Mao, Xiaodong Yang, William J. Dally
http://arxiv.org/abs/1908.06368v1
• [cs.CV]A Fast and Accurate One-Stage Approach to Visual Grounding
Zhengyuan Yang, Boqing Gong, Liwei Wang, Wenbing Huang, Dong Yu, Jiebo Luo
http://arxiv.org/abs/1908.06354v1
• [cs.CV]A Kings Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation
Amir Atapour-Abarghouei, Stephen Bonner, Andrew Stephen McGough
http://arxiv.org/abs/1908.06750v1
• [cs.CV]A New Technique of Camera Calibration: A Geometric Approach Based on Principal Lines
Jen-Hui Chuang, Chih-Hui Ho, Ardian Umam, HsinYi Chen, Mu-Tien Lu, Jenq-Neng Hwang, Tai-An Chen
http://arxiv.org/abs/1908.06539v1
• [cs.CV]A Software to Detect OCC Emotion, Big-Five Personality and Hofstede Cultural Dimensions of Pedestrians from Video Sequences
Rodolfo Migon Favaretto, Victor Araujo, Soraia Raupp Musse, Felipe Vilanova, Angelo Brandelli Costa
http://arxiv.org/abs/1908.06484v1
• [cs.CV]A unified representation network for segmentation with missing modalities
Kenneth Lau, Jonas Adler, Jens Sjölund
http://arxiv.org/abs/1908.06683v1
• [cs.CV]Adaptative Inference Cost With Convolutional Neural Mixture Models
Adria Ruiz, Jakob Verbeek
http://arxiv.org/abs/1908.06694v1
• [cs.CV]Adversarial Defense by Suppressing High-frequency Components
Zhendong Zhang, Cheolkon Jung, Xiaolong Liang
http://arxiv.org/abs/1908.06566v1
• [cs.CV]Aggregation via Separation: Boosting Facial Landmark Detector with Semi-Supervised Style Translation
Shengju Qian, Keqiang Sun, Wayne Wu, Chen Qian, Jiaya Jia
http://arxiv.org/abs/1908.06440v1
• [cs.CV]Algorithm Selection for Image Quality Assessment
Markus Wagner, Hanhe Lin, Shujun Li, Dietmar Saupe
http://arxiv.org/abs/1908.06911v1
• [cs.CV]Anomaly Detection in Video Sequence with Appearance-Motion Correspondence
Trong Nguyen Nguyen, Jean Meunier
http://arxiv.org/abs/1908.06351v1
• [cs.CV]Attention on Attention for Image Captioning
Lun Huang, Wenmin Wang, Jie Chen, Xiao-Yong Wei
http://arxiv.org/abs/1908.06954v1
• [cs.CV]Attentional Feature-Pair Relation Networks for Accurate Face Recognition
Bong-Nam Kang, Yonghyun Kim, Bongjin Jun, Daijin Kim
http://arxiv.org/abs/1908.06255v1
• [cs.CV]Bayesian Optimized 1-Bit CNNs
Jiaxin Gu, Junhe Zhao, Xiaolong Jiang, Baochang Zhang, Jianzhuang Liu, Guodong Guo, Rongrong Ji
http://arxiv.org/abs/1908.06314v1
• [cs.CV]C-RPNs: Promoting Object Detection in real world via a Cascade Structure of Region Proposal Networks
Dongming Yang, YueXian Zou, Jian Zhang, Ge Li
http://arxiv.org/abs/1908.06665v1
• [cs.CV]CompenNet++: End-to-end Full Projector Compensation
Bingyao Huang, Haibin Ling
http://arxiv.org/abs/1908.06246v1
• [cs.CV]Conv2Warp: An unsupervised deformable image registration with continuous convolution and warping
Sharib Ali, Jens Rittscher
http://arxiv.org/abs/1908.06194v1
• [cs.CV]Convolutional Neural Network with Median Layers for Denoising Salt-and-Pepper Contaminations
Luming Liang, Sen Deng, Lionel Gueguen, Mingqiang Wei, Xinming Wu, Jing Qin
http://arxiv.org/abs/1908.06452v1
• [cs.CV]Deep Meta Functionals for Shape Representation
Gidi Littwin, Lior Wolf
http://arxiv.org/abs/1908.06277v1
• [cs.CV]Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild
Yu Rong, Ziwei Liu, Cheng Li, Kaidi Cao, Chen Change Loy
http://arxiv.org/abs/1908.06442v1
• [cs.CV]Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks
Zhaoyang Zhang, Jingyu Li, Wenqi Shao, Zhanglin Peng, Ruimao Zhang, Xiaogang Wang, Ping Luo
http://arxiv.org/abs/1908.05867v2
• [cs.CV]Directionally Constrained Fully Convolutional Neural Network For Airborne Lidar Point Cloud Classification
Congcong Wen, Lina Yang, Ling Peng, Xiang Li, Tianhe Chi
http://arxiv.org/abs/1908.06673v1
• [cs.CV]Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning
Chaoyang Wang, Chen Kong, Simon Lucey
http://arxiv.org/abs/1908.06377v1
• [cs.CV]Dynamic Graph Message Passing Networks
Li Zhang, Dan Xu, Anurag Arnab, Philip H. S. Torr
http://arxiv.org/abs/1908.06955v1
• [cs.CV]Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual Localization
Måns Larsson, Erik Stenborg, Carl Toft, Lars Hammarstrand, Torsten Sattler, Fredrik Kahl
http://arxiv.org/abs/1908.06387v1
• [cs.CV]Floor-SP: Inverse CAD for Floorplans by Sequential Room-wise Shortest Path
Jiacheng Chen, Chen Liu, Jiaye Wu, Yasutaka Furukawa
http://arxiv.org/abs/1908.06702v1
• [cs.CV]Fully Automated Image De-fencing using Conditional Generative Adversarial Networks
Divyanshu Gupta, Shorya Jain, Utkarsh Tripathi, Pratik Chattopadhyay, Lipo Wang
http://arxiv.org/abs/1908.06837v1
• [cs.CV]GLAMpoints: Greedily Learned Accurate Match points
Prune Truong, Stefanos Apostolopoulos, Agata Mosinska, Samuel Stucky, Carlos Ciller, Sandro De Zanet
http://arxiv.org/abs/1908.06812v1
• [cs.CV]Genetic Algorithms for the Optimization of Diffusion Parameters in Content-Based Image Retrieval
Federico Magliani, Laura Sani, Stefano Cagnoni, Andrea Prati
http://arxiv.org/abs/1908.06896v1
• [cs.CV]Geometric Disentanglement for Generative Latent Shape Models
Tristan Aumentado-Armstrong, Stavros Tsogkas, Allan Jepson, Sven Dickinson
http://arxiv.org/abs/1908.06386v1
• [cs.CV]Graph-Based Object Classification for Neuromorphic Vision Sensing
Yin Bi, Aaron Chadha, Alhabib Abbas, Eirina Bourtsoulatze, Yiannis Andreopoulos
http://arxiv.org/abs/1908.06648v1
• [cs.CV]HumanMeshNet: Polygonal Mesh Recovery of Humans
Abbhinav Venkat, Chaitanya Patel, Yudhik Agrawal, Avinash Sharma
http://arxiv.org/abs/1908.06544v1
• [cs.CV]Hybrid Deep Network for Anomaly Detection
Trong Nguyen Nguyen, Jean Meunier
http://arxiv.org/abs/1908.06347v1
• [cs.CV]Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features
Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho
http://arxiv.org/abs/1908.06537v1
• [cs.CV]IRNet: Instance Relation Network for Overlapping Cervical Cell Segmentation
Yanning Zhou, Hao Chen, Jiaqi Xu, Qi Dou, Pheng-Ann Heng
http://arxiv.org/abs/1908.06623v1
• [cs.CV]Improved Techniques for Training Adaptive Deep Networks
Hao Li, Hong Zhang, Xiaojuan Qi, Ruigang Yang, Gao Huang
http://arxiv.org/abs/1908.06294v1
• [cs.CV]In defense of OSVOS
Yu Liu, Yutong Dai, Anh-Dzung Doan, Lingqiao Liu, Ian Reid
http://arxiv.org/abs/1908.06692v1
• [cs.CV]Language Features Matter: Effective Language Representations for Vision-Language Tasks
Andrea Burns, Reuben Tan, Kate Saenko, Stan Sclaroff, Bryan A. Plummer
http://arxiv.org/abs/1908.06327v1
• [cs.CV]Matching-based Depth Camera and Mirrors for 3D Reconstruction
Trong Nguyen Nguyen, Huu Hung Huynh, Jean Meunier
http://arxiv.org/abs/1908.06342v1
• [cs.CV]Mono-SF: Multi-View Geometry Meets Single-View Depth for Monocular Scene Flow Estimation of Dynamic Traffic Scenes
Fabian Brickwedde, Steffen Abraham, Rudolf Mester
http://arxiv.org/abs/1908.06316v1
• [cs.CV]Multi Target Tracking by Learning from Generalized Graph Differences
Håkan Ardö, Mikael Nilsson
http://arxiv.org/abs/1908.06646v1
• [cs.CV]Multi-Garment Net: Learning to Dress 3D People from Images
Bharat Lal Bhatnagar, Garvita Tiwari, Christian Theobalt, Gerard Pons-Moll
http://arxiv.org/abs/1908.06903v1
• [cs.CV]Multi-Kernel Filtering: An Extension of Bilateral Filtering Using Image Context
Feihong Liu, Jun Feng, Pew-Thian Yap, Dinggang Shen
http://arxiv.org/abs/1908.06307v1
• [cs.CV]Neural Re-Simulation for Generating Bounces in Single Images
Carlo Innamorati, Bryan Russell, Danny M. Kaufman, and Niloy J. Mitra
http://arxiv.org/abs/1908.06217v1
• [cs.CV]Occlusion Robust Face Recognition Based on Mask Learning with PairwiseDifferential Siamese Network
Lingxue Song, Dihong Gong, Zhifeng Li, Changsong Liu, Wei Liu
http://arxiv.org/abs/1908.06290v1
• [cs.CV]OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching
Changhee Won, Jongbin Ryu, Jongwoo Lim
http://arxiv.org/abs/1908.06257v1
• [cs.CV]On the Robustness of Human Pose Estimation
Sahil Shah, Naman jain, Abhishek Sharma, Arjun Jain
http://arxiv.org/abs/1908.06401v1
• [cs.CV]PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment
Kaixin Wang, Jun Hao Liew, Yingtian Zou, Daquan Zhou, Jiashi Feng
http://arxiv.org/abs/1908.06391v1
• [cs.CV]RANet: Ranking Attention Network for Fast Video Object Segmentation
Ziqin Wang, Jun Xu, Li Liu, Fan Zhu, Ling Shao
http://arxiv.org/abs/1908.06647v1
• [cs.CV]RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution
Wenlong Zhang, Yihao Liu, Chao Dong, Yu Qiao
http://arxiv.org/abs/1908.06382v1
• [cs.CV]Rotation Invariant Convolutions for 3D Point Clouds Deep Learning
Zhiyuan Zhang, Binh-Son Hua, David W. Rosen, Sai-Kit Yeung
http://arxiv.org/abs/1908.06297v1
• [cs.CV]SDIT: Scalable and Diverse Cross-domain Image Translation
Yaxing Wang, Abel Gonzalez-Garcia, Joost van de Weijer, Luis Herranz
http://arxiv.org/abs/1908.06881v1
• [cs.CV]SPA-GAN: Spatial Attention GAN for Image-to-Image Translation
Hajar Emami, Majid Moradi Aliabadi, Ming Dong, Ratna Babu Chinnam
http://arxiv.org/abs/1908.06616v1
• [cs.CV]Seq-SG2SL: Inferring Semantic Layout from Scene Graph Through Sequence to Sequence Learning
Boren Li, Boyu Zhuang, Mingyang Li, Jian Gu
http://arxiv.org/abs/1908.06592v1
• [cs.CV]ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics
Zhiyuan Zhang, Binh-Son Hua, Sai-Kit Yeung
http://arxiv.org/abs/1908.06295v1
• [cs.CV]Some Aspects of Geometric Computer Vision for Analysing Dynamical Scenes focusing Automotive Applications
Volker Willert, Martin Buczko
http://arxiv.org/abs/1908.06726v1
• [cs.CV]Training Deep Learning Models via Synthetic Data: Application in Unmanned Aerial Vehicles
Andreas Kamilaris, Corjan van den Brink, Savvas Karatsiolis
http://arxiv.org/abs/1908.06472v1
• [cs.CV]U-CAM: Visual Explanation using Uncertainty based Class Activation Maps
Badri N. Patro, Mayank Lunayach, Shivansh Patel, Vinay P. Namboodiri
http://arxiv.org/abs/1908.06306v1
• [cs.CV]Unsupervised Learning of Landmarks by Descriptor Vector Exchange
James Thewlis, Samuel Albanie, Hakan Bilen, Andrea Vedaldi
http://arxiv.org/abs/1908.06427v1
• [cs.CV]Video synthesis of human upper body with realistic fac
Zhaoxiang Liu, Huan Hu, Zipeng Wang, Kai Wang, Jinqiang Bai, Shiguo Lian
http://arxiv.org/abs/1908.06607v1
• [cs.CV]Weakly-supervised Action Localization with Background Modeling
Phuc Xuan Nguyen, Deva Ramanan, Charless C. Fowlkes
http://arxiv.org/abs/1908.06552v1
• [cs.CV]What is needed for simple spatial language capabilities in VQA?
Alexander Kuhnle, Ann Copestake
http://arxiv.org/abs/1908.06336v1
• [cs.CV]Zero Shot Learning for Multi-Modal Real Time Image Registration
Avinash Kori, Ganapathi Krishnamurthi
http://arxiv.org/abs/1908.06213v1
• [cs.CY]“Computer Science for all”: Concepts to engage teenagers and non-CS students in technology
Bernadette Spieler, Maria Grandl, Martin Ebner, Wolfgang Slany
http://arxiv.org/abs/1908.06637v1
• [cs.CY]A Conceptual Framework for Successful E-commerce Smartphone Applications: The Context of GCC
Adel Bahaddad, Rayed AlGhamdi, Seyed M. Buhari, Madini O. Alassafi, Ahmad Alzahrani
http://arxiv.org/abs/1908.06350v1
• [cs.CY]Three Dimensions of Privacy Policies
Victor Morel, Raúl Pardo
http://arxiv.org/abs/1908.06814v1
• [cs.DC]DMap: A Distributed Blockchain-based Framework for Online Mapping in Smart City
Fatemeh MohammadZadeh, Seyed Ali Mirghasemi, Ali Dorri, HamidReza Ahmadifar
http://arxiv.org/abs/1908.06414v1
• [cs.DC]Nakamoto Consensus with Verifiable Delay Puzzle
Jieyi Long, Ribao Wei
http://arxiv.org/abs/1908.06394v1
• [cs.DC]Numerically robust tetrahedron-based tomographic forward and backward projectors on parallel architectures
Ander Biguri, Hossein Towsyfyan, Richard Boardman, Thomas Blumensath
http://arxiv.org/abs/1908.06909v1
• [cs.DC]Performance report and optimized implementation of Weather & Climate Dwarfs on GPU, MIC and Optalysys Optical Processor
Cyril Mazauric, Erwan Raffin, Xavier Vigouroux, David Guibert, Alex Macfaden, Jacob Poulsen, Per Berg, Alan Gray, Peter Messmer
http://arxiv.org/abs/1908.06096v1
• [cs.DC]Performance report and optimized implementations of Weather & Climate dwarfs on multi-node systems
Louis Douriez, Alan Gray, David Guibert, Peter Messmer, Erwan Raffin
http://arxiv.org/abs/1908.06097v1
• [cs.DC]Projections of achievable performance for Weather & Climate Dwarfs, and for entire NWP applications, on hybrid architectures
Michał Kulczewski, Marek Błażewicz, Sebastian Ciesielski
http://arxiv.org/abs/1908.06098v1
• [cs.DC]Recommendations and specifications for data scope analysis tools
Cyril Mazauric, Erwan Raffin, David Guibert
http://arxiv.org/abs/1908.06095v1
• [cs.DC]Report on energy-efficiency evaluation of several NWP model configurations
Joris Van Bever, Alex McFaden, Zbigniew Piotrowski, Daan Degrauwe
http://arxiv.org/abs/1908.06115v1
• [cs.DC]Report on the performance portability demonstrated for the relevant Weather & Climate Dwarfs
Carlos Osuna
http://arxiv.org/abs/1908.06094v1
• [cs.DC]Report on workflow analysis for specific LAM applications
Joris Van Bever, Geert Smet, Daan Degrauwe
http://arxiv.org/abs/1908.06116v1
• [cs.DC]StreamNet: A DAG System with Streaming Graph Computing
Zhaoming Yin, Anbang Ruan, Ming Wei, Huafeng Li, Kai Yuan, Junqing Wang, Yahui Wang, Ming Ni, Andrew Martin
http://arxiv.org/abs/1908.06405v1
• [cs.DC]System Evaluation of the Intel Optane Byte-addressable NVM
Ivy B. Peng, Maya B. Gokhale, Eric W. Green
http://arxiv.org/abs/1908.06503v1
• [cs.DS]A Computational Model for Tensor Core Units
Francesco Silvestri, Flavio Vella
http://arxiv.org/abs/1908.06649v1
• [cs.DS]A Sharp Threshold Phenomenon for the Distributed Complexity of the Lovasz Local Lemma
Sebastian Brand, Yannic Maus, Jara Uitto
http://arxiv.org/abs/1908.06270v1
• [cs.DS]Comparison-Based Indexing From First Principles
Magnus Lie Hetland
http://arxiv.org/abs/1908.06318v1
• [cs.GT]Gradient Methods for Solving Stackelberg Games
Roi Naveiro, David Ríos Insua
http://arxiv.org/abs/1908.06901v1
• [cs.HC]Sensors and Game Synchronization for Data Analysis in eSports
Anton Stepanov, Andrey Lange, Nikita Khromov, Alexander Korotin, Evgeny Burnaev, Andrey Somov
http://arxiv.org/abs/1908.06404v1
• [cs.HC]Towards Understanding of eSports Athletes’ Potentialities: The Sensing System for Data Collection and Analysis
Alexander Korotin, Nikita Khromov, Anton Stepanov, Andrey Lange, Evgeny Burnaev, Andrey Somov
http://arxiv.org/abs/1908.06403v1
• [cs.HC]Understanding Cyber Athletes Behaviour Through a Smart Chair: CS:GO and Monolith Team Scenario
Anton Smerdov, Anastasia Kiskun, Rostislav Shaniiazov, Andrey Somov, Evgeny Burnaev
http://arxiv.org/abs/1908.06407v1
• [cs.HC]eSports Pro-Players Behavior During the Game Events: Statistical Analysis of Data Obtained Using the Smart Chair
Anton Smerdov, Evgeny Burnaev, Andrey Somov
http://arxiv.org/abs/1908.06402v1
• [cs.IR]A Study of BERT for Non-Factoid Question-Answering under Passage Length Constraints
Yosi Mass, Haggai Roitman, Shai Erera, Or Rivlin, Bar Weiner, David Konopnicki
http://arxiv.org/abs/1908.06780v1
• [cs.IR]Accelerated learning from recommender systems using multi-armed bandit
Meisam Hejazinia, Kyler Eastman, Shuqin Ye, Abbas Amirabadi, Ravi Divvela
http://arxiv.org/abs/1908.06158v1
• [cs.IR]Latent User Linking for Collaborative Cross Domain Recommendation
Sapumal Ahangama, Danny Chiang-Choon Poo
http://arxiv.org/abs/1908.06583v1
• [cs.IR]Learning Representations and Agents for Information Retrieval
Rodrigo Nogueira
http://arxiv.org/abs/1908.06132v1
• [cs.IR]Recommender Systems Fairness Evaluation via Generalized Cross Entropy
Yashar Deldjoo, Vito Walter Anelli, Hamed Zamani, Alejandro Bellogin, Tommaso Di Noia
http://arxiv.org/abs/1908.06708v1
• [cs.IR]Relevance Proximity Graphs for Fast Relevance Retrieval
Stanislav Morozov, Artem Babenko
http://arxiv.org/abs/1908.06887v1
• [cs.IR]Shallow Domain Adaptive Embeddings for Sentiment Analysis
Prathusha K Sarma, Yingyu Liang, William A Sethares
http://arxiv.org/abs/1908.06082v1
• [cs.IT]A Reinforcement Learning Framework for Optimizing Age-of-Information in RF-powered Communication Systems
Mohamed A. Abd-Elmagid, Harpreet S. Dhillon, Nikolaos Pappas
http://arxiv.org/abs/1908.06367v1
• [cs.IT]Deep Learning based Channel Estimation for Massive MIMO with Mixed-Resolution ADCs
Shen Gao, Peihao Dong, Zhiwen Pan, Geoffrey Ye Li
http://arxiv.org/abs/1908.06245v1
• [cs.IT]Energy-Efficient Proactive Caching for Fog Computing with Correlated Task Arrivals
Hong Xing, Jingjing Cui, Yansha Deng, Arumugam Nallanathan
http://arxiv.org/abs/1908.06334v1
• [cs.IT]Graph Fourier Transform Based on $\ell_1$ Norm Variation Minimization
Lihua Yang, Anna Qi, Chao Huang, Jianfeng Huang
http://arxiv.org/abs/1908.06672v1
• [cs.IT]Heterogeneous Coded Distributed Computing: Joint Design of File Allocation and Function Assignment
Fan Xu, Meixia Tao
http://arxiv.org/abs/1908.06715v1
• [cs.IT]Modeling, Analysis, and Optimization of Caching in Multi-Antenna Small-Cell Networks
Xianzhe Xu, Meixia Tao
http://arxiv.org/abs/1908.06595v1
• [cs.IT]On the Capacity of Secure Distributed Matrix Multiplication
Zhuqing Jia, Syed A. Jafar
http://arxiv.org/abs/1908.06957v1
• [cs.IT]On the Performance of Splitting Receiver with Joint Coherent and Non-Coherent Processing
Yanyan Wang, Wanchun Liu, Xiangyun Zhou, Guanghui Liu
http://arxiv.org/abs/1908.06389v1
• [cs.IT]Scheduling Policies for Federated Learning in Wireless Networks
Howard H. Yang, Zuozhu Liu, Tony Q. S. Quek, H. Vincent Poor
http://arxiv.org/abs/1908.06287v1
• [cs.IT]Some new Constructions of Coded Caching Schemes with Reduced Subpacketization
Wentu Song, Kui Cai, Long Shi
http://arxiv.org/abs/1908.06570v1
• [cs.IT]Sparse Bayesian Learning Using Approximate Message Passing with Unitary Transformation
Man Luo, Qinghua Guo
http://arxiv.org/abs/1908.06296v1
• [cs.IT]Weight Distributions for Successive Cancellation Decoding of Polar Codes
Rina Polyanskaya, Mars Davletshin, Nikita Polyanskii
http://arxiv.org/abs/1908.06652v1
• [cs.LG]A Batched Multi-Armed Bandit Approach to News Headline Testing
Yizhi Mao, Miao Chen, Abhinav Wagle, Junwei Pan, Michael Natkovich, Don Matheson
http://arxiv.org/abs/1908.06256v1
• [cs.LG]A Symbolic Neural Network Representation and its Application to Understanding, Verifying, and Patching Network
Matthew Sotoudeh, Aditya V. Thakur
http://arxiv.org/abs/1908.06223v1
• [cs.LG]Across-Stack Profiling and Characterization of Machine Learning Models on GPUs
Cheng Li, Abdul Dakkak, Jinjun Xiong, Wei Wei, Lingjie Xu, Wen-mei Hwu
http://arxiv.org/abs/1908.06869v1
• [cs.LG]Automatic Compiler Based FPGA Accelerator for CNN Training
Shreyas Kolala Venkataramanaiah, Yufei Ma, Shihui Yin, Eriko Nurvithadhi, Aravind Dasu, Yu Cao, Jae-sun Seo
http://arxiv.org/abs/1908.06724v1
• [cs.LG]BOAH: A Tool Suite for Multi-Fidelity Bayesian Optimization & Analysis of Hyperparameters
Marius Lindauer, Katharina Eggensperger, Matthias Feurer, André Biedenkapp, Joshua Marben, Philipp Müller, Frank Hutter
http://arxiv.org/abs/1908.06756v1
• [cs.LG]CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text
Koustuv Sinha, Shagun Sodhani, Jin Dong, Joelle Pineau, William L. Hamilton
http://arxiv.org/abs/1908.06177v1
• [cs.LG]Computing Linear Restrictions of Neural Networks
Matthew Sotoudeh, Aditya V. Thakur
http://arxiv.org/abs/1908.06214v1
• [cs.LG]Deep Weisfeiler-Lehman Assignment Kernels via Multiple Kernel Learning
Nils M. Kriege
http://arxiv.org/abs/1908.06661v1
• [cs.LG]Deep neural network or dermatologist?
Kyle Young, Gareth Booth, Becks Simpson, Reuben Dutton, Sally Shrapnel
http://arxiv.org/abs/1908.06612v1
• [cs.LG]Demystifying Learning Rate Polices for High Accuracy Training of Deep Neural Networks
Yanzhao Wu, Ling Liu, Juhyun Bae, Ka-Ho Chow, Arun Iyengar, Calton Pu, Wenqi Wei, Lei Yu, Qi Zhang
http://arxiv.org/abs/1908.06477v1
• [cs.LG]Distributional Negative Sampling for Knowledge Base Completion
Sarthak Dash, Alfio Gliozzo
http://arxiv.org/abs/1908.06178v1
• [cs.LG]ED2: Two-stage Active Learning for Error Detection — Technical Report
Felix Neutatz, Mohammad Mahdavi, Ziawasch Abedjan
http://arxiv.org/abs/1908.06309v1
• [cs.LG]Efficient Discovery of Expressive Multi-label Rules using Relaxed Pruning
Yannik Klein, Michael Rapp, Eneldo Loza Mencía
http://arxiv.org/abs/1908.06874v1
• [cs.LG]Implicit Deep Learning
Laurent El Ghaoui, Fangda Gu, Bertrand Travacca, Armin Askari
http://arxiv.org/abs/1908.06315v1
• [cs.LG]Integrated Multi-omics Analysis Using Variational Autoencoders: Application to Pan-cancer Classification
Xiaoyu Zhang, Jingqing Zhang, Kai Sun, Xian Yang, Chengliang Dai, Yike Guo
http://arxiv.org/abs/1908.06278v1
• [cs.LG]Intrinsically Motivated Exploration for Automated Discovery of Patterns in Morphogenetic Systems
Chris Reinke, Mayalen Etcheverry, Pierre-Yves Oudeyer
http://arxiv.org/abs/1908.06663v1
• [cs.LG]Investigating Convolutional Neural Networks using Spatial Orderness
Rohan Ghosh, Anupam K. Gupta
http://arxiv.org/abs/1908.06416v1
• [cs.LG]Iterative Update and Unified Representation for Multi-Agent Reinforcement Learning
Jiancheng Long, Hongming Zhang, Tianyang Yu, Bo Xu
http://arxiv.org/abs/1908.06758v1
• [cs.LG]Mitigating Multi-Stage Cascading Failure by Reinforcement Learning
Yongli Zhu, Chengxi Liu
http://arxiv.org/abs/1908.06599v1
• [cs.LG]Modeling Time to Open of Emails with a Latent State for User Engagement Level
Moumita Sinha, Vishwa Vinay, Harvineet Singh
http://arxiv.org/abs/1908.06512v1
• [cs.LG]Nesterov Accelerated Gradient and Scale Invariance for Improving Transferability of Adversarial Examples
Jiadong Lin, Chuanbiao Song, Kun He, Liwei Wang, John E. Hopcroft
http://arxiv.org/abs/1908.06281v1
• [cs.LG]Neural Network Based Undersampling Techniques
Md. Adnan Arefeen, Sumaiya Tabassum Nimi, M Sohel Rahman
http://arxiv.org/abs/1908.06487v1
• [cs.LG]PolyGAN: High-Order Polynomial Generators
Grigorios Chrysos, Stylianos Moschoglou, Yannis Panagakis, Stefanos Zafeiriou
http://arxiv.org/abs/1908.06571v1
• [cs.LG]Robust DCD-Based Recursive Adaptive Algorithms
Y. Yu, L. Lu, Z. Zheng, W. Wang, Y. Zakharov, R. C. de Lamare
http://arxiv.org/abs/1908.06369v1
• [cs.LG]Robust and Efficient Fuzzy C-Means Clustering Constrained on Flexible Sparsity
Jinglin Xu, Junwei Han, Feiping Nie, Xuelong Li
http://arxiv.org/abs/1908.06699v1
• [cs.LG]SPOCC: Scalable POssibilistic Classifier Combination — toward robust aggregation of classifiers
Mahmoud Albardan, John Klein, Olivier Colot
http://arxiv.org/abs/1908.06475v1
• [cs.LG]Structural Health Monitoring of Cantilever Beam, a Case Study — Using Bayesian Neural Network AND Deep Learning
Rahul Vashisht, H. Viji, T. Sundararajan, D. Mohankumar, S. Sumitra
http://arxiv.org/abs/1908.06326v1
• [cs.LG]Symmetric Cross Entropy for Robust Learning with Noisy Labels
Yisen Wang, Xingjun Ma, Zaiyi Chen, Yuan Luo, Jinfeng Yi, James Bailey
http://arxiv.org/abs/1908.06112v1
• [cs.LG]The efficacy of various machine learning models for multi-class classification of RNA-seq expression data
Sterling Ramroach, Melford John, Ajay Joshi
http://arxiv.org/abs/1908.06817v1
• [cs.LG]Towards Assessing the Impact of Bayesian Optimization’s Own Hyperparameters
Marius Lindauer, Matthias Feurer, Katharina Eggensperger, André Biedenkapp, Frank Hutter
http://arxiv.org/abs/1908.06674v1
• [cs.LG]Transfer Learning-Based Label Proportions Method with Data of Uncertainty
Yanshan Xiao, HuaiPei Wang, Bo Liu
http://arxiv.org/abs/1908.06603v1
• [cs.LG]VUSFA:Variational Universal Successor Features Approximator to Improve Transfer DRL for Target Driven Visual Navigation
Shamane Siriwardhana, Rivindu Weerasakera, Denys J. C. Matthies, Suranga Nanayakkara
http://arxiv.org/abs/1908.06376v1
• [cs.LG]Verification of Neural Network Control Policy Under Persistent Adversarial Perturbation
Yuh-Shyang Wang, Tsui-Wei Weng, Luca Daniel
http://arxiv.org/abs/1908.06353v1
• [cs.LO]Directed Homotopy in Non-Positively Curved Spaces
Eric Goubault, Samuel Mimram
http://arxiv.org/abs/1908.06684v1
• [cs.NE]Architecture Search by Estimation of Network Structure Distributions
Anton Muravev, Jenni Raitoharju, Moncef Gabbouj
http://arxiv.org/abs/1908.06886v1
• [cs.NE]Matrix Lie Maps and Neural Networks for Solving Differential Equations
Andrei Ivanov, Sergei Andrianov
http://arxiv.org/abs/1908.06088v1
• [cs.NE]Spike-Train Level Backpropagation for Training Deep Recurrent Spiking Neural Networks
Wenrui Zhang, Peng Li
http://arxiv.org/abs/1908.06378v1
• [cs.NE]The Runtime of the Compact Genetic Algorithm on Jump Functions
Benjamin Doerr
http://arxiv.org/abs/1908.06527v1
• [cs.RO]Contact Skill Imitation Learning for Robot-Independent Assembly Programming
Stefan Scherzinger, Arne Roennau, Rüdiger Dillmann
http://arxiv.org/abs/1908.06272v1
• [cs.RO]How far should self-driving cars see? Effect of observation range on vehicle self-localization
Mahdi Javanmardi, Ehsan Javanmardi, Shunsuke Kamijo
http://arxiv.org/abs/1908.06588v1
• [cs.RO]Inverse Kinematics with Forward Dynamics Solvers for Sampled Motion Tracking
Stefan Scherzinger, Arne Roennau, Rüdiger Dillmann
http://arxiv.org/abs/1908.06252v1
• [cs.RO]Long-Duration Fully Autonomous Operation of Rotorcraft Unmanned Aerial Systems for Remote-Sensing Data Acquisition
Danylo Malyuta, Christian Brommer, Daniel Hentzen, Thomas Stastny, Roland Siegwart, Roland Brockers
http://arxiv.org/abs/1908.06381v1
• [cs.RO]Scene Classification in Indoor Environments for Robots using Context Based Word Embeddings
Bao Xin Chen, Raghavender Sahdev, Dekun Wu, Xing Zhao, Manos Papagelis, John K. Tsotsos
http://arxiv.org/abs/1908.06422v1
• [cs.SD]Efficient Context Aggregation for End-to-End Speech Enhancement Using a Densely Connected Convolutional and Recurrent Network
Kai Zhen, Mi Suk Lee, Minje Kim
http://arxiv.org/abs/1908.06468v1
• [cs.SE]An Autonomous Performance Testing Framework using Self-Adaptive Fuzzy Reinforcement Learning
Mahshid Helali Moghadam, Mehrdad Saadatmand, Markus Borg, Markus Bohlin, Björn Lisper
http://arxiv.org/abs/1908.06900v1
• [cs.SI]Benchmarks for Graph Embedding Evaluation
Palash Goyal, Di Huang, Ankita Goswami, Sujit Rokka Chhetri, Arquimedes Canedo, Emilio Ferrara
http://arxiv.org/abs/1908.06543v1
• [cs.SI]Consistent Community Detection in Continuous-Time Networks of Relational Events
Makan Arastuie, Subhadeep Paul, Kevin S. Xu
http://arxiv.org/abs/1908.06940v1
• [cs.SI]Modeling Islamist Extremist Communications on Social Media using Contextual Dimensions: Religion, Ideology, and Hate
Ugur Kursuncu, Manas Gaur, Carlos Castillo, Amanuel Alambo, K. Thirunarayan, Valerie Shalin, Dilshod Achilov, I. Budak Arpinar, Amit Sheth
http://arxiv.org/abs/1908.06520v1
• [cs.SI]Neural Dynamics on Complex Networks
Chengxi Zang, Fei Wang
http://arxiv.org/abs/1908.06491v1
• [econ.EM]Measuring international uncertainty using global vector autoregressions with drifting parameters
Michael Pfarrhofer
http://arxiv.org/abs/1908.06325v1
• [eess.AS]Two-Staged Acoustic Modeling Adaption for Robust Speech Recognition by the Example of German Oral History Interviews
Michael Gref, Christoph Schmidt, Sven Behnke, Joachim Köhler
http://arxiv.org/abs/1908.06709v1
• [eess.IV]A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing
Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard
http://arxiv.org/abs/1908.06925v1
• [eess.IV]Asynchronous Single-Photon 3D Imaging
Anant Gupta, Atul Ingle, Mohit Gupta
http://arxiv.org/abs/1908.06372v1
• [eess.IV]Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior
Yixing Huang, Alexander Preuhs, Guenter Lauritsch, Michael Manhart, Xiaolin Huang, Andreas Maier
http://arxiv.org/abs/1908.06792v1
• [eess.IV]Deep Active Lesion Segmentation
Ali Hatamizadeh, Assaf Hoogi, Debleena Sengupta, Wuyue Lu, Brian Wilcox, Daniel Rubin, Demetri Terzopoulos
http://arxiv.org/abs/1908.06933v1
• [eess.IV]EigenRank by Committee: A Data Subset Selection and Failure Prediction paradigm for Robust Deep Learning based Medical Image Segmentation
Bilwaj Gaonkar, Alex Bui, Luke Macyszyn
http://arxiv.org/abs/1908.06337v1
• [eess.IV]Evaluation of an AI System for the Detection of Diabetic Retinopathy from Images Captured with a Handheld Portable Fundus Camera: the MAILOR AI study
T W Rogers, J Gonzalez-Bueno, R Garcia Franco, E Lopez Star, D Méndez Marín, J Vassallo, V C Lansingh, S Trikha, N Jaccard
http://arxiv.org/abs/1908.06399v1
• [eess.IV]Image Formation Model Guided Deep Image Super-Resolution
Jinshan Pan, Yang Liu, Deqing Sun, Jimmy Ren, Ming-Ming Cheng, Jian Yang, Jinhui Tang
http://arxiv.org/abs/1908.06444v1
• [eess.IV]Locally Linear Embedding and fMRI feature selection in psychiatric classification
Gagan Sidhu
http://arxiv.org/abs/1908.06319v1
• [eess.IV]Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis
Zongwei Zhou, Vatsal Sodha, Md Mahfuzur Rahman Siddiquee, Ruibin Feng, Nima Tajbakhsh, Michael B. Gotway, Jianming Liang
http://arxiv.org/abs/1908.06912v1
• [eess.IV]No-Reference Light Field Image Quality Assessment Based on Spatial-Angular Measurement
Likun Shi, Wei Zhou, Zhibo Chen
http://arxiv.org/abs/1908.06280v1
• [eess.SP]Comparing linear structure-based and data-driven latent spatial representations for sequence prediction
Myriam Bontonou, Carlos Lassance, Vincent Gripon, Nicolas Farrugia
http://arxiv.org/abs/1908.06868v1
• [eess.SP]On the Adversarial Robustness of Subspace Learning
Fuwei Li, Lifeng Lai, Shuguang Cui
http://arxiv.org/abs/1908.06210v1
• [eess.SP]On the Age of Information of Short-Packet Communications with Packet Management
Rui Wang, Yifan Gu, He Chen, Yonghui Li, Branka Vucetic
http://arxiv.org/abs/1908.05447v2
• [eess.SP]Propagation Channel Modeling by Deep learning Techniques
Shirin Seyedsalehi, Vahid Pourahmadi, Hamid Sheikhzadeh, Ali Hossein Gharari Foumani
http://arxiv.org/abs/1908.06767v1
• [eess.SP]Wi-Fringe: Leveraging Text Semantics in WiFi CSI-Based Device-Free Named Gesture Recognition
Md Tamzeed Islam, Shahriar Nirjon
http://arxiv.org/abs/1908.06803v1
• [eess.SY]Multi-Objective Evolutionary Framework for Non-linear System Identification: A Comprehensive Investigation
Faizal Hafiz, Akshya Swain, Eduardo MAM Mendes
http://arxiv.org/abs/1908.06232v1
• [math.OC]Parametric Majorization for Data-Driven Energy Minimization Methods
Jonas Geiping, Michael Moeller
http://arxiv.org/abs/1908.06209v1
• [math.PR]Black-box constructions for exchangeable sequences of random multisets
Creighton Heaukulani, Daniel M. Roy
http://arxiv.org/abs/1908.06349v1
• [math.PR]Quantitative convergence rates for reversible Markov chains via strong random times
Daniel C. Jerison
http://arxiv.org/abs/1908.06459v1
• [math.PR]Signature Cumulants, Ordered Partitions, and Independence of Stochastic Processes
Patric Bonnier, Harald Oberhauser
http://arxiv.org/abs/1908.06496v1
• [math.ST]Beta-Binomial stick-breaking non-parametric prior
María F. Gil-Leyva, Ramsés H. Mena, Theodoros Nicoleris
http://arxiv.org/abs/1908.06602v1
• [math.ST]Cumulants of multiinformation density in the case of a multivariate normal distribution
Guillaume Marrelec, Alain Giron
http://arxiv.org/abs/1908.06934v1
• [math.ST]Harmonic Analysis of Symmetric Random Graphs
Steffen Lauritzen
http://arxiv.org/abs/1908.06456v1
• [math.ST]High dimensional statistical inference: theoretical development to data analytics
Deepak Nag Ayyala
http://arxiv.org/abs/1908.06600v1
• [math.ST]Inference for continuous-time long memory randomly sampled processes
Mohamedou Ould Haye, Anne Philippe, Caroline Robet
http://arxiv.org/abs/1908.06735v1
• [math.ST]Probability Estimation with Truncated Inverse Binomial Sampling
Xinjia Chen
http://arxiv.org/abs/1908.06907v1
• [math.ST]Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data
Jun Zhao, Guan’ao Yan, Yi Zhang
http://arxiv.org/abs/1908.06431v1
• [math.ST]The Existence of Maximum Likelihood Estimate in High-Dimensional Generalized Linear Models with Binary Responses
Wenpin Tang, Yuting Ye
http://arxiv.org/abs/1908.06208v1
• [q-bio.NC]Multi-View Broad Learning System for Primate Oculomotor Decision Decoding
Zhenhua Shi, Xiaomo Chen, Changming Zhao, He He, Veit Stuphorn, Dongrui Wu
http://arxiv.org/abs/1908.06180v1
• [q-fin.GN]Explicit Design For Strategy Formulation Frameworks
Song-Kyoo Kim
http://arxiv.org/abs/1908.06890v1
• [quant-ph]Quantum Expectation-Maximization Algorithm
Hideyuki Miyahara, Kazuyuki Aihara, Wolfgang Lechner
http://arxiv.org/abs/1908.06655v1
• [quant-ph]Quantum Expectation-Maximization for Gaussian Mixture Models
Iordanis Kerenidis, Alessandro Luongo, Anupam Prakash
http://arxiv.org/abs/1908.06657v1
• [stat.AP]Analyzing the Fine Structure of Distributions
Michael C. Thrun, Tino Gehlert, Alfred Ultsch
http://arxiv.org/abs/1908.06081v1
• [stat.AP]Decline of COPD exacerbations in clinical trials over two decades — a systematic review and meta-regression
Stefan Andreas, Christian Röver, Judith Heinz, Sebastian Straube, Henrik Watz, Tim Friede
http://arxiv.org/abs/1908.06340v1
• [stat.AP]Geographically-dependent individual-level models for infectious diseases transmission
Md Mahsin, Rob Deardon, Patrick Brown
http://arxiv.org/abs/1908.06822v1
• [stat.AP]Hierarchical Bayesian Operational Modal Analysis: Theory and Computations
Omid Sedehi, Lambros S. Katafygiotis, Costas Papadimitriou
http://arxiv.org/abs/1908.06370v1
• [stat.CO]Computing Estimators of Dantzig Selector type via Column and Constraint Generation
Rahul Mazumder, Stephen Wright, Andrew Zheng
http://arxiv.org/abs/1908.06515v1
• [stat.CO]Evaluation of extremal properties of GARCH(p,q) processes
Fabrizio Laurini, Paul Fearnhead, Jonathan A. Tawn
http://arxiv.org/abs/1908.06835v1
• [stat.CO]Prune Sampling: a MCMC inference technique for discrete and deterministic Bayesian networks
Frank Phillipson, Jurriaan Parie, Ron Weikamp
http://arxiv.org/abs/1908.06335v1
• [stat.CO]Revisiting the balance heuristic for estimating normalising constants
Felipe J Medina-Aguayo, Richard G Everitt
http://arxiv.org/abs/1908.06514v1
• [stat.ME]A New Approach to Determine the Coefficient of Skewness and An Alternative Form of Boxplot
Ummay Salma Shorna, Md. Forhad Hossain
http://arxiv.org/abs/1908.06400v1
• [stat.ME]AdaptSPEC-X: Covariate Dependent Spectral Modeling of Multiple Nonstationary Time Series
Michael Bertolacci, Ori Rosen, Edward Cripps, Sally Cripps
http://arxiv.org/abs/1908.06622v1
• [stat.ME]Bayesian approach to Lorenz curve using time series grouped data
Genya Kobayashi, Yuta Yamauchi, Kazuhiko Kakamu, Yuki Kawakubo, Shonosuke Sugasawa
http://arxiv.org/abs/1908.06772v1
• [stat.ME]Block Nearest Neighboor Gaussian processes for large datasets
Zaida C. Quiroz, Marcos O. Prates, Dipak K. Dey
http://arxiv.org/abs/1908.06437v1
• [stat.ME]Empirical Likelihood Test for Diagonal Symmetry
Yongli Sang, Xin Dang
http://arxiv.org/abs/1908.06892v1
• [stat.ME]Improving multilevel regression and poststratification with structured priors
Yuxiang Gao, Lauren Kennedy, Daniel Simpson, Andrew Gelman
http://arxiv.org/abs/1908.06716v1
• [stat.ME]Model-free Feature Screening with Projection Correlation and FDR Control with Knockoff Features
Wanjun Liu, Yuan Ke, Runze Li
http://arxiv.org/abs/1908.06597v1
• [stat.ME]Optimal $2^K$ Paired Comparison Designs for Third-Order Interactions
Eric Nyarko
http://arxiv.org/abs/1908.06092v1
• [stat.ME]Optimal Paired Comparison Experiments for Second-Order Interactions
Eric Nyarko
http://arxiv.org/abs/1908.06090v1
• [stat.ME]Selection of Exponential-Family Random Graph Models via Held-Out Predictive Evaluation (HOPE)
Fan Yin, Nolan Edward Phillips, Carter T. Butts
http://arxiv.org/abs/1908.05873v2
• [stat.ME]Simultaneous estimation of normal means with side information
Sihai Dave Zhao
http://arxiv.org/abs/1908.06129v1
• [stat.ME]Spectral inference for large Stochastic Blockmodels with nodal covariates
Angelo Mele, Lingxin Hao, Joshua Cape, Carey E. Priebe
http://arxiv.org/abs/1908.06438v1
• [stat.ML]A Consistent Independence Test for Multivariate Time-Series
Ronak Mehta, Cencheng Shen, Ting Xu, Joghua T. Vogelstein
http://arxiv.org/abs/1908.06486v1
• [stat.ML]A new asymmetric $ε$-insensitive pinball loss function based support vector quantile regression model
Pritam Anand, Reshma Rastogi, Suresh Chandra
http://arxiv.org/abs/1908.06923v1
• [stat.ML]Gradient Boosting Machine: A Survey
Zhiyuan He, Danchen Lin, Thomas Lau, Mike Wu
http://arxiv.org/abs/1908.06951v1
• [stat.ML]Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds
Dagui Chen, Junqi Jin, Weinan Zhang, Fei Pan, Lvyin Niu, Chuan Yu, Jun Wang, Han Li, Jian Xu, Kun Gai
http://arxiv.org/abs/1908.06698v1
• [stat.ML]SIRUS: making random forests interpretable
Clément Bénard, Gérard Biau, Sébastien da Veiga, Erwan Scornet
http://arxiv.org/abs/1908.06852v1
• [stat.ML]Towards Better Generalization: BP-SVRG in Training Deep Neural Networks
Hao Jin, Dachao Lin, Zhihua Zhang
http://arxiv.org/abs/1908.06395v1
• [stat.ML]Weakly Supervised Segmentation by A Deep Geodesic Prior
Aliasghar Mortazi, Naji Khosravan, Drew A. Torigian, Sila Kurugol, Ulas Bagci
http://arxiv.org/abs/1908.06498v1