cs.AI - 人工智能
cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.MM - 多媒体 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.CO - 组合数学 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.soc-ph - 物理学与社会 q-fin.PM - 投资组合管理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cs.AI]Active collaboration in relative observation for Multi-agent visual SLAM based on Deep Q Network
• [cs.AI]Automatic Short Answer Grading via Multiway Attention Networks
• [cs.AI]Dependency-based Text Graphs for Keyphrase and Summary Extraction with Applications to Interactive Content Retrieval
• [cs.AI]Empirical Analysis of Multi-Task Learning for Reducing Model Bias in Toxic Comment Detection
• [cs.AI]Informing a BDI Player Model for an Interactive Narrative
• [cs.AI]Leveraging Human Guidance for Deep Reinforcement Learning Tasks
• [cs.AI]LuNet: A Deep Neural Network for Network Intrusion Detection
• [cs.AI]On Controlled DeEntanglement for Natural Language Processing
• [cs.AI]On Weighted Envy-Freeness in Indivisible Item Allocation
• [cs.AI]Satisficing Mentalizing: Bayesian Models of Theory of Mind Reasoning in Scenarios with Different Uncertainties
• [cs.AI]Teaching Pretrained Models with Commonsense Reasoning: A Preliminary KB-Based Approach
• [cs.AI]Towards Explainability for a Civilian UAV Fleet Management using an Agent-based Approach
• [cs.AI]Towards Intelligent Interactive Theatre: Drama Management as a way of Handling Performance
• [cs.AI]Two Birds, One Stone: A Simple, Unified Model for Text Generation from Structured and Unstructured Data
• [cs.CL]A Consolidated System for Robust Multi-Document Entity Risk Extraction and Taxonomy Augmentation
• [cs.CL]Adapting Language Models for Non-Parallel Author-Stylized Rewriting
• [cs.CL]Algorithms for certain classes of Tamil Spelling correction
• [cs.CL]Automated Chess Commentator Powered by Neural Chess Engine
• [cs.CL]Biomedical Mention Disambiguation using a Deep Learning Approach
• [cs.CL]Cross-Lingual Natural Language Generation via Pre-Training
• [cs.CL]Deep Structured Neural Network for Event Temporal Relation Extraction
• [cs.CL]Dependency-Guided LSTM-CRF for Named Entity Recognition
• [cs.CL]Does BERT Make Any Sense? Interpretable Word Sense Disambiguation with Contextualized Embeddings
• [cs.CL]GNTeam at 2018 n2c2: Feature-augmented BiLSTM-CRF for drug-related entity recognition in hospital discharge summaries
• [cs.CL]Generating Timelines by Modeling Semantic Change
• [cs.CL]Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role Labeling
• [cs.CL]Improving OOV Detection and Resolution with External Language Models in Acoustic-to-Word ASR
• [cs.CL]Improving Quality and Efficiency in Plan-based Neural Data-to-Text Generation
• [cs.CL]Inducing Constituency Trees through Neural Machine Translation
• [cs.CL]Is change the only constant? Profile change perspective on #LokSabhaElections2019
• [cs.CL]Learning Dense Representations for Entity Retrieval
• [cs.CL]Low-Rank Approximation of Matrices for PMI-based Word Embeddings
• [cs.CL]Measuring Conceptual Entanglement in Collections of Documents
• [cs.CL]NLVR2 Visual Bias Analysis
• [cs.CL]Self-attention based end-to-end Hindi-English Neural Machine Translation
• [cs.CL]Specificity-Based Sentence Ordering for Multi-Document Extractive Risk Summarization
• [cs.CL]Speech Replay Detection with x-Vector Attack Embeddings and Spectral Features
• [cs.CL]Syntax-Aware Aspect-Level Sentiment Classification with Proximity-Weighted Convolution Network
• [cs.CL]TinyBERT: Distilling BERT for Natural Language Understanding
• [cs.CL]Towards Best Experiment Design for Evaluating Dialogue System Output
• [cs.CL]Using Chinese Glyphs for Named Entity Recognition
• [cs.CL]Visuallly Grounded Generation of Entailments from Premises
• [cs.CR]Adversarial Examples for Deep Learning Cyber Security Analytics
• [cs.CR]Challenges of Privacy-Preserving Machine Learning in IoT
• [cs.CR]Detection of Classifier Inconsistencies in Image Steganalysis
• [cs.CR]From Data Disclosure to Privacy Nudges: A Privacy-aware and User-centric Personal Data Management Framework
• [cs.CR]HEAX: High-Performance Architecture for Computation on Homomorphically Encrypted Data in the Cloud
• [cs.CR]Techniques and Applications for Crawling, Ingesting and Analyzing Blockchain Data
• [cs.CV]Advances in Computer-Aided Diagnosis of Diabetic Retinopathy
• [cs.CV]Adversarial Learning of General Transformations for Data Augmentation
• [cs.CV]Automatic Posture and Movement Tracking of Infants with Wearable Movement Sensors
• [cs.CV]CANZSL: Cycle-Consistent Adversarial Networks for Zero-Shot Learning from Natural Language
• [cs.CV]Class Activation Map generation by Multiple Level Class Grouping and Orthogonal Constraint
• [cs.CV]Context-Aware Image Matting for Simultaneous Foreground and Alpha Estimation
• [cs.CV]Deep Convolutions for In-Depth Automated Rock Typing
• [cs.CV]Deep Generative Models for Library Augmentation in Multiple Endmember Spectral Mixture Analysis
• [cs.CV]Double Anchor R-CNN for Human Detection in a Crowd
• [cs.CV]Efficient Surface-Aware Semi-Global Matching with Multi-View Plane-Sweep Sampling
• [cs.CV]Explainable High-order Visual Question Reasoning: A New Benchmark and Knowledge-routed Network
• [cs.CV]Field typing for improved recognition on heterogeneous handwritten forms
• [cs.CV]Generating Positive Bounding Boxes for Balanced Training of Object Detectors
• [cs.CV]Go Wider: An Efficient Neural Network for Point Cloud Analysis via Group Convolutions
• [cs.CV]Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation
• [cs.CV]How to improve CNN-based 6-DoF camera pose estimation
• [cs.CV]Human Synthesis and Scene Compositing
• [cs.CV]Hydrocephalus verification on brain magnetic resonance images with deep convolutional neural networks and “transfer learning” technique
• [cs.CV]IntersectGAN: Learning Domain Intersection for Generating Images with Multiple Attributes
• [cs.CV]Invasiveness Prediction of Pulmonary Adenocarcinomas Using Deep Feature Fusion Networks
• [cs.CV]Large Scale Joint Semantic Re-Localisation and Scene Understanding via Globally Unique Instance Coordinate Regression
• [cs.CV]Learning Coupled Spatial-temporal Attention for Skeleton-based Action Recognition
• [cs.CV]Learning Dense Voxel Embeddings for 3D Neuron Reconstruction
• [cs.CV]Learning Visual Relation Priors for Image-Text Matching and Image Captioning with Neural Scene Graph Generators
• [cs.CV]Learning a Fixed-Length Fingerprint Representation
• [cs.CV]Model-Based and Data-Driven Strategies in Medical Image Computing
• [cs.CV]Nonlocal Patches based Gaussian Mixture Model for Image Inpainting
• [cs.CV]Object Segmentation using Pixel-wise Adversarial Loss
• [cs.CV]Patch-Based Image Similarity for Intraoperative 2D/3D Pelvis Registration During Periacetabular Osteotomy
• [cs.CV]Pelvis Surface Estimation From Partial CT for Computer-Aided Pelvic Osteotomies
• [cs.CV]Pixel-Level Dense Prediction without Decoder
• [cs.CV]Predicting Landscapes from Environmental Conditions Using Generative Networks
• [cs.CV]RAUNet: Residual Attention U-Net for Semantic Segmentation of Cataract Surgical Instruments
• [cs.CV]Retrieval-based Localization Based on Domain-invariant Feature Learning under Changing Environments
• [cs.CV]Robust Local Features for Improving the Generalization of Adversarial Training
• [cs.CV]Scheduled Differentiable Architecture Search for Visual Recognition
• [cs.CV]Semi-supervised estimation of event temporal length for cell event detection
• [cs.CV]Shadow Transfer: Single Image Relighting For Urban Road Scenes
• [cs.CV]Smooth Extrapolation of Unknown Anatomy via Statistical Shape Models
• [cs.CV]Structured Binary Neural Networks for Image Recognition
• [cs.CV]Tag-based Semantic Features for Scene Image Classification
• [cs.CV]To What Extent Does Downsampling, Compression, and Data Scarcity Impact Renal Image Analysis?
• [cs.CV]Validation of image-guided cochlear implant programming techniques
• [cs.CV]Variational Conditional GAN for Fine-grained Controllable Image Generation
• [cs.CV]Visual Odometry Revisited: What Should Be Learnt?
• [cs.CV]Volume Preserving Image Segmentation with Entropic Regularization Optimal Transport and Its Applications in Deep Learning
• [cs.CV]Watch, Listen and Tell: Multi-modal Weakly Supervised Dense Event Captioning
• [cs.CV]Where to Look Next: Unsupervised Active Visual Exploration on 360° Input
• [cs.CV]WiCV 2019: The Sixth Women In Computer Vision Workshop
• [cs.CV]mlVIRNET: Multilevel Variational Image Registration Network
• [cs.CY]Can WhatsApp Counter Misinformation by Limiting Message Forwarding?
• [cs.CY]LULC classification methodology based on simple Convolutional Neural Network to map complex urban forms at finer scale: Evidence from Mumbai
• [cs.CY]Research Directions in Democratizing Innovation through Design Automation, One-Click Manufacturing Services and Intelligent Machines
• [cs.DC]A Lightweight Blockchain-based Privacy Protection for Smart Surveillance at the Edge
• [cs.DC]Blocking and sparsity for optimization of convolution calculation algorithm on GPUs
• [cs.DC]Cutting the Unnecessary Long Tail: Cost-Effective Big Data Clustering in the Cloud
• [cs.DC]Gene-Patterns: Should Architecture be Customized for Each Application?
• [cs.DC]IBFT 2.0: A Safe and Live Variation of the IBFT Blockchain Consensus Protocol for Eventually Synchronous Networks
• [cs.DC]Machine Learning Pipelines with Modern Big DataTools for High Energy Physics
• [cs.DC]Multithreaded Filtering Preconditioner for Diffusion Equation on Structured Grid
• [cs.DC]Randomized Gathering of Asynchronous Mobile Robots
• [cs.DS]Sliding window property testing for regular languages
• [cs.HC]Deep Multi-Facial patches Aggregation Network for Expression Classification from Face Images
• [cs.IR]NewsDeps: Visualizing the Origin of Information in News Articles
• [cs.IT]Cross-Complementary Pairs for Optimal Training in Spatial Modulation over Frequency Selective Channels
• [cs.IT]Entanglement-Assisted Capacity of Quantum Channels with Side Information
• [cs.IT]Explicit and Efficient Constructions of Coding Schemes for the Binary Deletion Channel and the Poisson Repeat Channel
• [cs.IT]Graph Signal Processing — Part II: Processing and Analyzing Signals on Graphs
• [cs.IT]Hybrid Beamformer Codebook Design and Ordering for Compressive mmWave Channel Estimation
• [cs.IT]Low-PAPR Preamble Design for FBMC Systems
• [cs.IT]New Sets of Optimal Odd-length Binary Z-Complementary Pairs
• [cs.IT]Private Information Retrieval from MDS Array Codes with (Near-) Optimal Repair Bandwidth
• [cs.IT]Subpacketization in Coded Caching with Demand Privacy
• [cs.IT]Versatile Compressive mmWave Hybrid Beamformer Codebook Design Framework
• [cs.LG]A Layered Architecture for Active Perception: Image Classification using Deep Reinforcement Learning
• [cs.LG]An Investigation of Quantum Deep Clustering Framework with Quantum Deep SVM & Convolutional Neural Network Feature Extractor
• [cs.LG]Analyzing Recurrent Neural Network by Probabilistic Abstraction
• [cs.LG]Class-dependent Compression of Deep Neural Networks
• [cs.LG]Classification in asymmetric spaces via sample compression
• [cs.LG]Deep Message Passing on Sets
• [cs.LG]Deep Reinforcement Learning with Modulated Hebbian plus Q Network Architecture
• [cs.LG]Deep Universal Graph Embedding Neural Network
• [cs.LG]Do Compressed Representations Generalize Better?
• [cs.LG]Heterogeneous Graph Convolutional Networks for Temporal Community Detection
• [cs.LG]Improving Generative Visual Dialog by Answering Diverse Questions
• [cs.LG]Learning an Adaptive Learning Rate Schedule
• [cs.LG]LoGANv2: Conditional Style-Based Logo Generation with Generative Adversarial Networks
• [cs.LG]MaLTESE: Large-Scale Simulation-Driven Machine Learning for Transient Driving Cycles
• [cs.LG]Minimal Learning Machine: Theoretical Results and Clustering-Based Reference Point Selection
• [cs.LG]Model-Agnostic Linear Competitors — When Interpretable Models Compete and Collaborate with Black-Box Models
• [cs.LG]Multi-task Learning and Catastrophic Forgetting in Continual Reinforcement Learning
• [cs.LG]On Model Stability as a Function of Random Seed
• [cs.LG]On the Importance of Delexicalization for Fact Verification
• [cs.LG]Online Hierarchical Clustering Approximations
• [cs.LG]PAC Reinforcement Learning without Real-World Feedback
• [cs.LG]Positive-Unlabeled Compression on the Cloud
• [cs.LG]Scalable Kernel Learning via the Discriminant Information
• [cs.LG]Scale MLPerf-0.6 models on Google TPU-v3 Pods
• [cs.LG]Single Class Universum-SVM
• [cs.LG]Uncertainty Quantification with Statistical Guarantees in End-to-End Autonomous Driving Control
• [cs.LG]Understanding and Robustifying Differentiable Architecture Search
• [cs.LG]Using theoretical ROC curves for analysing machine learning binary classifiers
• [cs.LG]Verified Uncertainty Calibration
• [cs.MA]Multiagent Evaluation under Incomplete Information
• [cs.MM]sZoom: A Framework for Automatic Zoom into High Resolution Surveillance Videos
• [cs.NE]AHA! an ‘Artificial Hippocampal Algorithm’ for Episodic Machine Learning
• [cs.NE]An Empirical Exploration of Deep Recurrent Connections and Memory Cells Using Neuro-Evolution
• [cs.NI]5G: Agent for Further Digital Disruptive Transformations
• [cs.NI]Space Diversity-Based Grant-Free Random Access for Critical and Non-Critical IoT Services
• [cs.RO]An Adversarial Approach to Private Flocking in Mobile Robot Teams
• [cs.RO]Decentralized Connectivity Control in Quadcopters: a Field Study of Communication Performance
• [cs.RO]Formal Connections between Template and Anchor Models via Approximate Simulation
• [cs.RO]Human Position Detection & Tracking with On-robot Time-of-Flight Laser Ranging Sensors
• [cs.RO]Improving CNN-based Planar Object Detection with Geometric Prior Knowledge
• [cs.RO]In-hand Sliding Regrasp with Spring-Sliding Compliance
• [cs.RO]Language-guided Adaptive Perception with Hierarchical Symbolic Representations for Mobile Manipulators
• [cs.RO]Learning a Control Policy for Fall Prevention on an Assistive Walking Device
• [cs.RO]Modular Pipe Climber
• [cs.RO]Omnidirectional Tractable Three Module Robot
• [cs.RO]Online DCM Trajectory Generation for Push Recovery of Torque-Controlled Humanoid Robots
• [cs.RO]Optimal Motion Planning for Multi-Modal Hybrid Locomotion
• [cs.RO]Optimal Reduced-order Modeling of Bipedal Locomotion
• [cs.RO]Path Planning Tolerant to Degraded Locomotion Conditions
• [cs.RO]Pose Estimation for Texture-less Shiny Objects in a Single RGB Image Using Synthetic Training Data
• [cs.RO]Revisiting the Asymptotic Optimality of RRT*
• [cs.RO]Robot Navigation in Crowds by Graph Convolutional Networks with Attention Learned from Human Gaze
• [cs.RO]Safer End-to-End Autonomous Driving via Conditional Imitation Learning and Command Augmentation
• [cs.RO]Self-Healing Ground-and-Air Connectivity Chains
• [cs.RO]Self-supervised 6D Object Pose Estimation for Robot Manipulation
• [cs.RO]String Diagrams for Assembly Planning
• [cs.RO]Upper Body Pose Estimation Using Wearable Inertial Sensors and Multiplicative Kalman Filter
• [cs.RO]Whole-Body Geometric Retargeting for Humanoid Robots
• [cs.SD]CochleaNet: A Robust Language-independent Audio-Visual Model for Speech Enhancement
• [cs.SE]Formalism for Supporting the Development of Verifiably Safe Medical Guidelines with Statecharts
• [cs.SI]A Multi-Strategy Approach to Overcoming Bias in Community Detection Evaluation
• [cs.SI]A Probabilistic Graph Model for Trust Opinion Estimation in Online Social Networks
• [cs.SI]Community Detection and Improved Detectability in Multiplex Networks
• [cs.SI]Embedding-based Qualitative Analysis of Polarization in Turkey
• [cs.SI]Incremental Fairness in Two-Sided Market Platforms: On Updating Recommendations Fairly
• [cs.SI]Making a Case for MLNs for Data-Driven Analysis: Modeling, Efficiency, and Versatility
• [cs.SI]Predicting consumers engagement on Facebook based on what and how companies write
• [cs.SI]Trust Assessment in Online Social Networks
• [eess.IV]Deep Local Global Refinement Network for Stent Analysis in IVOCT Images
• [eess.SP]Deep learning approach to control of prosthetic hands with electromyography signals
• [eess.SP]Distributed Conjugate Gradient Tracking for Resource Allocation in Unbalanced Networks
• [eess.SP]Gridless Angular Domain Channel Estimation for mmWave Massive MIMO System With One-Bit Quantization Via Approximate Message Passing
• [eess.SY]Constrained Attractor Selection Using Deep Reinforcement Learning
• [eess.SY]Controller Synthesis for Multi-Agent Systems With Intermittent Communication: A Metric Temporal Logic Approach
• [eess.SY]Flying batteries: In-flight battery switching to increase multirotor flight time
• [eess.SY]Sequential Dynamic Resource Allocation for Epidemic Control
• [math.CO]Whitney Numbers of Combinatorial Geometries and Higher-Weight Dowling Lattices
• [math.NA]PDE-Inspired Algorithms for Semi-Supervised Learning on Point Clouds
• [math.NA]Strapdown Attitude Computation: Functional Iterative Integration versus Taylor Series Expansion
• [math.OC]A Time-Dependent TSP Formulation for the Design of an Active Debris Removal Mission using Simulated Annealing
• [math.OC]Conservative set valued fields, automatic differentiation, stochastic gradient method and deep learning
• [math.OC]Decentralized Markov Chain Gradient Descent
• [math.OC]Efficient Learning of Distributed Linear-Quadratic Controllers
• [math.OC]Necessary and Sufficient Conditions for Adaptive, Mirror, and Standard Gradient Methods
• [math.PR]On the Whittle estimator for linear random noise spectral density parameter in continuous-time nonlinear regression models
• [math.PR]Time Series, Persistent Homology and Chirality
• [math.PR]Universal Lossless Compression of Graphical Data
• [math.ST]A new coefficient of correlation
• [math.ST]Approximate Shannon Sampling in Importance Sampling: Nearly Consistent Finite Particle Estimates
• [math.ST]Bayesian Inference on Multivariate Medians and Quantiles
• [math.ST]Computing the degrees of freedom of rank-regularized estimators and cousins
• [math.ST]Dimension reduction in spatial regression with kernel SAVE method
• [math.ST]Distribution-free consistent independence tests via Hallin’s multivariate rank
• [math.ST]On uniform continuity of posterior distributions
• [math.ST]PAC-Bayesian Bounds for Deep Gaussian Processes
• [math.ST]Probabilistic Fitting of Topological Structure to Data
• [math.ST]Quantile LASSO with changepoints in panel data models applied to option pricing
• [math.ST]Sparse Group Lasso: Optimal Sample Complexity, Convergence Rate, and Statistical Inference
• [physics.comp-ph]PPINN: Parareal Physics-Informed Neural Network for time-dependent PDEs
• [physics.comp-ph]Recurrent Neural Network-based Model for Accelerated Trajectory Analysis in AIMD Simulations
• [physics.soc-ph]Differences in structure and dynamics of networks retrieved from dark and public web forums
• [physics.soc-ph]Reduced network extremal ensemble learning (RenEEL) scheme for community detection in complex networks
• [physics.soc-ph]Sensitivity of collective outcomes identifies pivotal components
• [q-fin.PM]Machine Learning Optimization Algorithms & Portfolio Allocation
• [stat.AP]IFAA: Robust association identification and Inference For Absolute Abundance in microbiome analyses
• [stat.AP]Outlier-Detection Based Robust Information Fusion for Networked Systems
• [stat.AP]Robust Inference for Skewed data in Health Sciences
• [stat.AP]What do adoption patterns of solar panels observed so far tell about governments’ incentive? insight from diffusion models
• [stat.ME]DECoVaC: Design of Experiments with Controlled Variability Components
• [stat.ME]Improve Orthogonal GARCH with Hidden Markov Model
• [stat.ME]Meaningful causal decompositions in health equity research: definition, identification, and estimation through a weighting framework
• [stat.ME]Semantic and Cognitive Tools to Aid Statistical Inference: Replace Confidence and Significance by Compatibility and Surprise
• [stat.ME]The Locally Gaussian Partial Correlation
• [stat.ME]To Aid Statistical Inference, Emphasize Unconditional Descriptions of Statistics
• [stat.ML]A generalization of regularized dual averaging and its dynamics
• [stat.ML]ASNI: Adaptive Structured Noise Injection for shallow and deep neural networks
• [stat.ML]Inference of modes for linear stochastic processes
• [stat.ML]Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions
• [stat.ML]Manifold Fitting under Unbounded Noise
• [stat.ML]Optimal query complexity for private sequential learning
• [stat.ML]Particle Smoothing Variational Objectives
• [stat.ML]Using Statistics to Automate Stochastic Optimization
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• [cs.AI]Active collaboration in relative observation for Multi-agent visual SLAM based on Deep Q Network
Zhaoyi Pei, Piaosong Hao, Meixiang Quan, Muhammad Zuhair Qadir, Guo Li
http://arxiv.org/abs/1909.10157v1
• [cs.AI]Automatic Short Answer Grading via Multiway Attention Networks
Tiaoqiao Liu, Wenbiao Ding, Zhiwei Wang, Jiliang Tang, Gale Yan Huang, Zitao Liu
http://arxiv.org/abs/1909.10166v1
• [cs.AI]Dependency-based Text Graphs for Keyphrase and Summary Extraction with Applications to Interactive Content Retrieval
Paul Tarau, Eduardo Blanco
http://arxiv.org/abs/1909.09742v1
• [cs.AI]Empirical Analysis of Multi-Task Learning for Reducing Model Bias in Toxic Comment Detection
Ameya Vaidya, Feng Mai, Yue Ning
http://arxiv.org/abs/1909.09758v1
• [cs.AI]Informing a BDI Player Model for an Interactive Narrative
Jessica Rivera-Villicana, Fabio Zambetta, James Harland, Marsha Berry
http://arxiv.org/abs/1909.10414v1
• [cs.AI]Leveraging Human Guidance for Deep Reinforcement Learning Tasks
Ruohan Zhang, Faraz Torabi, Lin Guan, Dana H. Ballard, Peter Stone
http://arxiv.org/abs/1909.09906v1
• [cs.AI]LuNet: A Deep Neural Network for Network Intrusion Detection
Peilun Wu, Hui Guo
http://arxiv.org/abs/1909.10031v1
• [cs.AI]On Controlled DeEntanglement for Natural Language Processing
SaiKrishna Rallabandi
http://arxiv.org/abs/1909.09964v1
• [cs.AI]On Weighted Envy-Freeness in Indivisible Item Allocation
Mithun Chakraborty, Warut Suksompong, Yair Zick
http://arxiv.org/abs/1909.10502v1
• [cs.AI]Satisficing Mentalizing: Bayesian Models of Theory of Mind Reasoning in Scenarios with Different Uncertainties
Jan Pöppel, Stefan Kopp
http://arxiv.org/abs/1909.10419v1
• [cs.AI]Teaching Pretrained Models with Commonsense Reasoning: A Preliminary KB-Based Approach
Shiyang Li, Jianshu Chen, Dian Yu
http://arxiv.org/abs/1909.09743v1
• [cs.AI]Towards Explainability for a Civilian UAV Fleet Management using an Agent-based Approach
Yazan Mualla, Amro Najjar, Timotheus Kampik, Igor Tchappi, Stéphane Galland, Christophe Nicolle
http://arxiv.org/abs/1909.10090v1
• [cs.AI]Towards Intelligent Interactive Theatre: Drama Management as a way of Handling Performance
Nic Velissaris, Jessica Rivera-Villicana
http://arxiv.org/abs/1909.10371v1
• [cs.AI]Two Birds, One Stone: A Simple, Unified Model for Text Generation from Structured and Unstructured Data
Hamidreza Shahidi, Ming Li, Jimmy Lin
http://arxiv.org/abs/1909.10158v1
• [cs.CL]A Consolidated System for Robust Multi-Document Entity Risk Extraction and Taxonomy Augmentation
Berk Ekmekci, Eleanor Hagerman, Blake Howald
http://arxiv.org/abs/1909.10368v1
• [cs.CL]Adapting Language Models for Non-Parallel Author-Stylized Rewriting
Bakhtiyar Syed, Gaurav Verma, Balaji Vasan Srinivasan, Anandhavelu N, Vasudeva Varma
http://arxiv.org/abs/1909.09962v1
• [cs.CL]Algorithms for certain classes of Tamil Spelling correction
Muthiah Annamalai, T. Shrinivasan
http://arxiv.org/abs/1909.10063v1
• [cs.CL]Automated Chess Commentator Powered by Neural Chess Engine
Hongyu Zang, Zhiwei Yu, Xiaojun Wan
http://arxiv.org/abs/1909.10413v1
• [cs.CL]Biomedical Mention Disambiguation using a Deep Learning Approach
Chih-Hsuan Wei, Kyubum Lee, Robert Leaman, Zhiyong Lu
http://arxiv.org/abs/1909.10416v1
• [cs.CL]Cross-Lingual Natural Language Generation via Pre-Training
Zewen Chi, Li Dong, Furu Wei, Wenhui Wang, Xian-Ling Mao, Heyan Huang
http://arxiv.org/abs/1909.10481v1
• [cs.CL]Deep Structured Neural Network for Event Temporal Relation Extraction
Rujun Han, I-Hung Hsu, Mu Yang, Aram Galstyan, Ralph Weischedel, Nanyun Peng
http://arxiv.org/abs/1909.10094v1
• [cs.CL]Dependency-Guided LSTM-CRF for Named Entity Recognition
Zhanming Jie, Wei Lu
http://arxiv.org/abs/1909.10148v1
• [cs.CL]Does BERT Make Any Sense? Interpretable Word Sense Disambiguation with Contextualized Embeddings
Gregor Wiedemann, Steffen Remus, Avi Chawla, Chris Biemann
http://arxiv.org/abs/1909.10430v1
• [cs.CL]GNTeam at 2018 n2c2: Feature-augmented BiLSTM-CRF for drug-related entity recognition in hospital discharge summaries
Maksim Belousov, Nikola Milosevic, Ghada Alfattni, Haifa Alrdahi, Goran Nenadic
http://arxiv.org/abs/1909.10390v1
• [cs.CL]Generating Timelines by Modeling Semantic Change
Guy D. Rosin, Kira Radinsky
http://arxiv.org/abs/1909.09907v1
• [cs.CL]Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role Labeling
Diego Marcheggiani, Ivan Titov
http://arxiv.org/abs/1909.09814v1
• [cs.CL]Improving OOV Detection and Resolution with External Language Models in Acoustic-to-Word ASR
Hirofumi Inaguma, Masato Mimura, Shinsuke Sakai, Tatsuya Kawahara
http://arxiv.org/abs/1909.09993v1
• [cs.CL]Improving Quality and Efficiency in Plan-based Neural Data-to-Text Generation
Amit Moryossef, Ido Dagan, Yoav Goldberg
http://arxiv.org/abs/1909.09986v1
• [cs.CL]Inducing Constituency Trees through Neural Machine Translation
Phu Mon Htut, Kyunghyun Cho, Samuel R. Bowman
http://arxiv.org/abs/1909.10056v1
• [cs.CL]Is change the only constant? Profile change perspective on #LokSabhaElections2019
Kumari Neha, Shashank Srikanth, Sonali Singhal, Shwetanshu Singh, Arun Balaji Buduru, Ponnurangam Kumaraguru
http://arxiv.org/abs/1909.10012v1
• [cs.CL]Learning Dense Representations for Entity Retrieval
Daniel Gillick, Sayali Kulkarni, Larry Lansing, Alessandro Presta, Jason Baldridge, Eugene Ie, Diego Garcia-Olano
http://arxiv.org/abs/1909.10506v1
• [cs.CL]Low-Rank Approximation of Matrices for PMI-based Word Embeddings
Alena Sorokina, Aidana Karipbayeva, Zhenisbek Assylbekov
http://arxiv.org/abs/1909.09855v1
• [cs.CL]Measuring Conceptual Entanglement in Collections of Documents
Tomas Veloz, Xiazhao Zhao, Diederik Aerts
http://arxiv.org/abs/1909.09708v1
• [cs.CL]NLVR2 Visual Bias Analysis
Alane Suhr, Yoav Artzi
http://arxiv.org/abs/1909.10411v1
• [cs.CL]Self-attention based end-to-end Hindi-English Neural Machine Translation
Siddhant Srivastava, Ritu Tiwari
http://arxiv.org/abs/1909.09779v1
• [cs.CL]Specificity-Based Sentence Ordering for Multi-Document Extractive Risk Summarization
Berk Ekmekci, Eleanor Hagerman, Blake Howald
http://arxiv.org/abs/1909.10393v1
• [cs.CL]Speech Replay Detection with x-Vector Attack Embeddings and Spectral Features
Jennifer Williams, Joanna Rownicka
http://arxiv.org/abs/1909.10324v1
• [cs.CL]Syntax-Aware Aspect-Level Sentiment Classification with Proximity-Weighted Convolution Network
Chen Zhang, Qiuchi Li, Dawei Song
http://arxiv.org/abs/1909.10171v1
• [cs.CL]TinyBERT: Distilling BERT for Natural Language Understanding
Xiaoqi Jiao, Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Linlin Li, Fang Wang, Qun Liu
http://arxiv.org/abs/1909.10351v1
• [cs.CL]Towards Best Experiment Design for Evaluating Dialogue System Output
Sashank Santhanam, Samira Shaikh
http://arxiv.org/abs/1909.10122v1
• [cs.CL]Using Chinese Glyphs for Named Entity Recognition
Arijit Sehanobish, Chan Hee Song
http://arxiv.org/abs/1909.09922v1
• [cs.CL]Visuallly Grounded Generation of Entailments from Premises
Somaye Jafaritazehjani, Albert Gatt, Marc Tanti
http://arxiv.org/abs/1909.09788v1
• [cs.CR]Adversarial Examples for Deep Learning Cyber Security Analytics
Alesia Chernikova, Alina Oprea
http://arxiv.org/abs/1909.10480v1
• [cs.CR]Challenges of Privacy-Preserving Machine Learning in IoT
Mengyao Zheng, Dixing Xu, Linshan Jiang, Chaojie Gu, Rui Tan, Peng Cheng
http://arxiv.org/abs/1909.09804v1
• [cs.CR]Detection of Classifier Inconsistencies in Image Steganalysis
Daniel Lerch-Hostalot, David Megías
http://arxiv.org/abs/1909.10278v1
• [cs.CR]From Data Disclosure to Privacy Nudges: A Privacy-aware and User-centric Personal Data Management Framework
Yang Lu, Shujun Li, Athina Ioannou, Iis Tussyadiah
http://arxiv.org/abs/1909.09942v1
• [cs.CR]HEAX: High-Performance Architecture for Computation on Homomorphically Encrypted Data in the Cloud
M. Sadegh Riazi, Kim Laine, Blake Pelton, Wei Dai
http://arxiv.org/abs/1909.09731v1
• [cs.CR]Techniques and Applications for Crawling, Ingesting and Analyzing Blockchain Data
Evan Brinckman, Andrey Kuehlkamp, Jarek Nabrzyski, Ian J. Taylor
http://arxiv.org/abs/1909.09925v1
• [cs.CV]Advances in Computer-Aided Diagnosis of Diabetic Retinopathy
Saket S. Chaturvedi, Kajol Gupta, Vaishali Ninawe, Prakash S. Prasad
http://arxiv.org/abs/1909.09853v1
• [cs.CV]Adversarial Learning of General Transformations for Data Augmentation
Saypraseuth Mounsaveng, David Vazquez, Ismail Ben Ayed, Marco Pedersoli
http://arxiv.org/abs/1909.09801v1
• [cs.CV]Automatic Posture and Movement Tracking of Infants with Wearable Movement Sensors
Manu Airaksinen, Okko Räsänen, Elina Ilén, Taru Häyrinen, Anna Kivi, Viviana Marchi, Anastasia Gallen, Sonja Blom, Anni Varhe, Nico Kaartinen, Leena Haataja, Sampsa Vanhatalo
http://arxiv.org/abs/1909.09823v1
• [cs.CV]CANZSL: Cycle-Consistent Adversarial Networks for Zero-Shot Learning from Natural Language
Zhi Chen, Jingjing Li, Yadan Luo, Zi Huang, Yang Yang
http://arxiv.org/abs/1909.09822v1
• [cs.CV]Class Activation Map generation by Multiple Level Class Grouping and Orthogonal Constraint
Kaixu Huang, Fanman Meng, Hongliang Li, Shuai Chen, Qingbo Wu, King N. Ngan
http://arxiv.org/abs/1909.09839v1
• [cs.CV]Context-Aware Image Matting for Simultaneous Foreground and Alpha Estimation
Qiqi Hou, Feng Liu
http://arxiv.org/abs/1909.09725v1
• [cs.CV]Deep Convolutions for In-Depth Automated Rock Typing
E. E. Baraboshkin, L. S. Ismailova, D. M. Orlov, E. A. Zhukovskaya, G. A. Kalmykov, O. V. Khotylev, E. Yu. Baraboshkin, D. A. Koroteev
http://arxiv.org/abs/1909.10227v1
• [cs.CV]Deep Generative Models for Library Augmentation in Multiple Endmember Spectral Mixture Analysis
Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard
http://arxiv.org/abs/1909.09741v1
• [cs.CV]Double Anchor R-CNN for Human Detection in a Crowd
Kevin Zhang, Feng Xiong, Peize Sun, Li Hu, Boxun Li, Gang Yu
http://arxiv.org/abs/1909.09998v1
• [cs.CV]Efficient Surface-Aware Semi-Global Matching with Multi-View Plane-Sweep Sampling
Boitumelo Ruf, Thomas Pollok, Martin Weinmann
http://arxiv.org/abs/1909.09891v1
• [cs.CV]Explainable High-order Visual Question Reasoning: A New Benchmark and Knowledge-routed Network
Qingxing Cao, Bailin Li, Xiaodan Liang, Liang Lin
http://arxiv.org/abs/1909.10128v1
• [cs.CV]Field typing for improved recognition on heterogeneous handwritten forms
Ciprian Tomoiaga, Paul Feng, Mathieu Salzmann, Patrick Jayet
http://arxiv.org/abs/1909.10120v1
• [cs.CV]Generating Positive Bounding Boxes for Balanced Training of Object Detectors
Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan
http://arxiv.org/abs/1909.09777v1
• [cs.CV]Go Wider: An Efficient Neural Network for Point Cloud Analysis via Group Convolutions
Can Chen, Luca Zanotti Fragonara, Antonios Tsourdos
http://arxiv.org/abs/1909.10431v1
• [cs.CV]Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation
Li Jiang, Hengshuang Zhao, Shu Liu, Xiaoyong Shen, Chi-Wing Fu, Jiaya Jia
http://arxiv.org/abs/1909.10469v1
• [cs.CV]How to improve CNN-based 6-DoF camera pose estimation
Soroush Seifi, Tinne Tuytelaars
http://arxiv.org/abs/1909.10312v1
• [cs.CV]Human Synthesis and Scene Compositing
Mihai Zanfir, Elisabeta Oneata, Alin-Ionut Popa, Andrei Zanfir, Cristian Sminchisescu
http://arxiv.org/abs/1909.10307v1
• [cs.CV]Hydrocephalus verification on brain magnetic resonance images with deep convolutional neural networks and “transfer learning” technique
Alexey Demyanchuk, Ekaterina Pushkina, Nikolay Russkikh, Dmitry Shtokalo, Sergey Mishinov
http://arxiv.org/abs/1909.10473v1
• [cs.CV]IntersectGAN: Learning Domain Intersection for Generating Images with Multiple Attributes
Zehui Yao, Boyan Zhang, Zhiyong Wang, Wanli Ouyang, Dong Xu, Dagan Feng
http://arxiv.org/abs/1909.09767v1
• [cs.CV]Invasiveness Prediction of Pulmonary Adenocarcinomas Using Deep Feature Fusion Networks
Xiang Li, Jiechao Ma, Hongwei Li
http://arxiv.org/abs/1909.09837v1
• [cs.CV]Large Scale Joint Semantic Re-Localisation and Scene Understanding via Globally Unique Instance Coordinate Regression
Ignas Budvytis, Marvin Teichmann, Tomas Vojir, Roberto Cipolla
http://arxiv.org/abs/1909.10239v1
• [cs.CV]Learning Coupled Spatial-temporal Attention for Skeleton-based Action Recognition
Jiayun Wang
http://arxiv.org/abs/1909.10214v1
• [cs.CV]Learning Dense Voxel Embeddings for 3D Neuron Reconstruction
Kisuk Lee, Ran Lu, Kyle Luther, H. Sebastian Seung
http://arxiv.org/abs/1909.09872v1
• [cs.CV]Learning Visual Relation Priors for Image-Text Matching and Image Captioning with Neural Scene Graph Generators
Kuang-Huei Lee, Hamid Palangi, Xi Chen, Houdong Hu, Jianfeng Gao
http://arxiv.org/abs/1909.09953v1
• [cs.CV]Learning a Fixed-Length Fingerprint Representation
Joshua J. Engelsma, Kai Cao, Anil K. Jain
http://arxiv.org/abs/1909.09901v1
• [cs.CV]Model-Based and Data-Driven Strategies in Medical Image Computing
Daniel Rueckert, Julia A. Schnabel
http://arxiv.org/abs/1909.10391v1
• [cs.CV]Nonlocal Patches based Gaussian Mixture Model for Image Inpainting
Wei Wan, Jun Liu
http://arxiv.org/abs/1909.09932v1
• [cs.CV]Object Segmentation using Pixel-wise Adversarial Loss
Ricard Durall, Franz-Josef Pfreundt, Ullrich Köthe, Janis Keuper
http://arxiv.org/abs/1909.10341v1
• [cs.CV]Patch-Based Image Similarity for Intraoperative 2D/3D Pelvis Registration During Periacetabular Osteotomy
Robert Grupp, Mehran Armand, Russell Taylor
http://arxiv.org/abs/1909.10443v1
• [cs.CV]Pelvis Surface Estimation From Partial CT for Computer-Aided Pelvic Osteotomies
Robert Grupp, Yoshito Otake, Ryan Murphy, Javad Parvizi, Mehran Armand, Russell Taylor
http://arxiv.org/abs/1909.10452v1
• [cs.CV]Pixel-Level Dense Prediction without Decoder
Xin Cai, Yi-Fei Pu
http://arxiv.org/abs/1909.09961v1
• [cs.CV]Predicting Landscapes from Environmental Conditions Using Generative Networks
Christian Requena-Mesa, Markus Reichstein, Miguel Mahecha, Basil Kraft, Joachim Denzler
http://arxiv.org/abs/1909.10296v1
• [cs.CV]RAUNet: Residual Attention U-Net for Semantic Segmentation of Cataract Surgical Instruments
Zhen-Liang Ni, Gui-Bin Bian, Xiao-Hu Zhou, Zeng-Guang Hou, Xiao-Liang Xie, Chen Wang, Yan-Jie Zhou, Rui-Qi Li, Zhen Li
http://arxiv.org/abs/1909.10360v1
• [cs.CV]Retrieval-based Localization Based on Domain-invariant Feature Learning under Changing Environments
Hanjiang Hu, Hesheng Wang, Zhe Liu, Chenguang Yang, Weidong Chen, Le Xie
http://arxiv.org/abs/1909.10184v1
• [cs.CV]Robust Local Features for Improving the Generalization of Adversarial Training
Chubiao Song, Kun He, Jiadong Lin, Liwei Wang, John E. Hopcroft
http://arxiv.org/abs/1909.10147v1
• [cs.CV]Scheduled Differentiable Architecture Search for Visual Recognition
Zhaofan Qiu, Ting Yao, Yiheng Zhang, Yongdong Zhang, Tao Mei
http://arxiv.org/abs/1909.10236v1
• [cs.CV]Semi-supervised estimation of event temporal length for cell event detection
Ha Tran Hong Phan, Ashnil Kumar, David Feng, Michael Fulham, Jinman Kim
http://arxiv.org/abs/1909.09946v1
• [cs.CV]Shadow Transfer: Single Image Relighting For Urban Road Scenes
Alexandra Carlson, Ram Vasudevan, Matthew Johnson-Roberson
http://arxiv.org/abs/1909.10363v1
• [cs.CV]Smooth Extrapolation of Unknown Anatomy via Statistical Shape Models
Robert Grupp, Hsin-Hong Chiang, Yoshito Otake, Ryan Murphy, Chad Gordon, Mehran Armand, Russell Taylor
http://arxiv.org/abs/1909.10153v1
• [cs.CV]Structured Binary Neural Networks for Image Recognition
Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian Reid
http://arxiv.org/abs/1909.09934v1
• [cs.CV]Tag-based Semantic Features for Scene Image Classification
Chiranjibi Sitaula, Yong Xiang, Anish Basnet, Sunil Aryal, Xuequan Lu
http://arxiv.org/abs/1909.09999v1
• [cs.CV]To What Extent Does Downsampling, Compression, and Data Scarcity Impact Renal Image Analysis?
Can Peng, Kun Zhao, Arnold Wiliem, Teng Zhang, Peter Hobson, Anthony Jennings, Brian C. Lovell
http://arxiv.org/abs/1909.09945v1
• [cs.CV]Validation of image-guided cochlear implant programming techniques
Yiyuan Zhao, Jianing Wang, Rui Li, Robert F. Labadie, Benoit M. Dawant, Jack H. Noble
http://arxiv.org/abs/1909.10137v1
• [cs.CV]Variational Conditional GAN for Fine-grained Controllable Image Generation
Mingqi Hu, Deyu Zhou, Yulan He
http://arxiv.org/abs/1909.09979v1
• [cs.CV]Visual Odometry Revisited: What Should Be Learnt?
Huangying Zhan, Chamara Saroj Weerasekera, Jiawang Bian, Ian Reid
http://arxiv.org/abs/1909.09803v1
• [cs.CV]Volume Preserving Image Segmentation with Entropic Regularization Optimal Transport and Its Applications in Deep Learning
Haifeng Li, Jun Liu, Li Cui, Haiyang Huang, Xue-cheng Tai
http://arxiv.org/abs/1909.09931v1
• [cs.CV]Watch, Listen and Tell: Multi-modal Weakly Supervised Dense Event Captioning
Tanzila Rahman, Bicheng Xu, Leonid Sigal
http://arxiv.org/abs/1909.09944v1
• [cs.CV]Where to Look Next: Unsupervised Active Visual Exploration on 360° Input
Soroush Seifi, Tinne Tuytelaars
http://arxiv.org/abs/1909.10304v1
• [cs.CV]WiCV 2019: The Sixth Women In Computer Vision Workshop
Irene Amerini, Elena Balashova, Sayna Ebrahimi, Kathryn Leonard, Arsha Nagrani, Amaia Salvador
http://arxiv.org/abs/1909.10225v1
• [cs.CV]mlVIRNET: Multilevel Variational Image Registration Network
Alessa Hering, Bram van Ginneken, Stefan Heldmann
http://arxiv.org/abs/1909.10084v1
• [cs.CY]Can WhatsApp Counter Misinformation by Limiting Message Forwarding?
Philipe de Freitas Melo, Carolina Coimbra Vieira, Kiran Garimella, Pedro O. S. Vaz de Melo, Fabrício Benevenuto
http://arxiv.org/abs/1909.08740v2
• [cs.CY]LULC classification methodology based on simple Convolutional Neural Network to map complex urban forms at finer scale: Evidence from Mumbai
Deepank Verma, Arnab Jana
http://arxiv.org/abs/1909.09774v1
• [cs.CY]Research Directions in Democratizing Innovation through Design Automation, One-Click Manufacturing Services and Intelligent Machines
Binil Starly, Atin Angrish, Paul Cohen
http://arxiv.org/abs/1909.10476v1
• [cs.DC]A Lightweight Blockchain-based Privacy Protection for Smart Surveillance at the Edge
Alem Fitwi, Yu Chen, Sencun Zhu
http://arxiv.org/abs/1909.09845v1
• [cs.DC]Blocking and sparsity for optimization of convolution calculation algorithm on GPUs
Weizhi Xu, Shengyu Fan, Tiantian Wang, Yufeng Zhou
http://arxiv.org/abs/1909.09927v1
• [cs.DC]Cutting the Unnecessary Long Tail: Cost-Effective Big Data Clustering in the Cloud
Dongwei Li, Shuliang Wang, Nan Gao, Qiang He, Yun Yang
http://arxiv.org/abs/1909.10000v1
• [cs.DC]Gene-Patterns: Should Architecture be Customized for Each Application?
Yuhang Liu, Luming Wang, Mingyu Chen, Yungang Bao, Yang Wang, Xiang Li
http://arxiv.org/abs/1909.09765v1
• [cs.DC]IBFT 2.0: A Safe and Live Variation of the IBFT Blockchain Consensus Protocol for Eventually Synchronous Networks
Roberto Saltini, David Hyland-Wood
http://arxiv.org/abs/1909.10194v1
• [cs.DC]Machine Learning Pipelines with Modern Big DataTools for High Energy Physics
Matteo Migliorini, Riccardo Castellotti, Luca Canali, Marco Zanetti
http://arxiv.org/abs/1909.10389v1
• [cs.DC]Multithreaded Filtering Preconditioner for Diffusion Equation on Structured Grid
Abhinav Aggarwal, Shivam Kakkar, Pawan Kumar
http://arxiv.org/abs/1909.09771v1
• [cs.DC]Randomized Gathering of Asynchronous Mobile Robots
Debasish Pattanayak, John Augustine, Partha Sarathi Mandal
http://arxiv.org/abs/1909.10004v1
• [cs.DS]Sliding window property testing for regular languages
Moses Ganardi, Danny Hucke, Markus Lohrey, Tatiana Starikovskaya
http://arxiv.org/abs/1909.10261v1
• [cs.HC]Deep Multi-Facial patches Aggregation Network for Expression Classification from Face Images
Amine Djerghri, Ahmed Rachid Hazourli, Alice Othmani
http://arxiv.org/abs/1909.10305v1
• [cs.IR]NewsDeps: Visualizing the Origin of Information in News Articles
Felix Hamborg, Philipp Meschenmoser, Moritz Schubotz, Bela Gipp
http://arxiv.org/abs/1909.10266v1
• [cs.IT]Cross-Complementary Pairs for Optimal Training in Spatial Modulation over Frequency Selective Channels
Zilong Liu, Ping Yang, Yong Liang Guan, Pei Xiao
http://arxiv.org/abs/1909.10206v1
• [cs.IT]Entanglement-Assisted Capacity of Quantum Channels with Side Information
Uzi Pereg
http://arxiv.org/abs/1909.09992v1
• [cs.IT]Explicit and Efficient Constructions of Coding Schemes for the Binary Deletion Channel and the Poisson Repeat Channel
Roni Con, Amir Shpilka
http://arxiv.org/abs/1909.10177v1
• [cs.IT]Graph Signal Processing — Part II: Processing and Analyzing Signals on Graphs
Ljubisa Stankovic, Danilo Mandic, Milos Dakovic, Milos Brajovic, Bruno Scalzo, Anthony G. Constantinides
http://arxiv.org/abs/1909.10325v1
• [cs.IT]Hybrid Beamformer Codebook Design and Ordering for Compressive mmWave Channel Estimation
Junmo Sung, Brian L. Evans
http://arxiv.org/abs/1909.09861v1
• [cs.IT]Low-PAPR Preamble Design for FBMC Systems
Zilong Liu, Pei Xiao, Su Hu
http://arxiv.org/abs/1909.10205v1
• [cs.IT]New Sets of Optimal Odd-length Binary Z-Complementary Pairs
Avik Ranjan Adhikary, Sudhan Majhi, Zilong Liu, Yong Liang Guan
http://arxiv.org/abs/1909.10204v1
• [cs.IT]Private Information Retrieval from MDS Array Codes with (Near-) Optimal Repair Bandwidth
Jie Li, David Karpuk, Camilla Hollanti
http://arxiv.org/abs/1909.10289v1
• [cs.IT]Subpacketization in Coded Caching with Demand Privacy
Aravind V R, Pradeep Sarvepalli, Andrew Thangaraj
http://arxiv.org/abs/1909.10471v1
• [cs.IT]Versatile Compressive mmWave Hybrid Beamformer Codebook Design Framework
Junmo Sung, Brian L. Evans
http://arxiv.org/abs/1909.09858v1
• [cs.LG]A Layered Architecture for Active Perception: Image Classification using Deep Reinforcement Learning
Hossein K. Mousavi, Guangyi Liu, Weihang Yuan, Martin Takáč, Héctor Muñoz-Avila, Nader Motee
http://arxiv.org/abs/1909.09705v1
• [cs.LG]An Investigation of Quantum Deep Clustering Framework with Quantum Deep SVM & Convolutional Neural Network Feature Extractor
Arit Kumar Bishwas, Ashish Mani, Vasile Palade
http://arxiv.org/abs/1909.09852v1
• [cs.LG]Analyzing Recurrent Neural Network by Probabilistic Abstraction
Guoliang Dong, Jingyi Wang, Jun Sun, Yang Zhang, Xinyu Wang, Ting Dai, Jin Song Dong
http://arxiv.org/abs/1909.10023v1
• [cs.LG]Class-dependent Compression of Deep Neural Networks
Rahim Entezari, Olga Saukh
http://arxiv.org/abs/1909.10364v1
• [cs.LG]Classification in asymmetric spaces via sample compression
Lee-Ad Gottlieb, Shira Ozeri
http://arxiv.org/abs/1909.09969v1
• [cs.LG]Deep Message Passing on Sets
Yifeng Shi, Junier Oliva, Marc Niethammer
http://arxiv.org/abs/1909.09877v1
• [cs.LG]Deep Reinforcement Learning with Modulated Hebbian plus Q Network Architecture
Pawel Ladosz, Eseoghene Ben-Iwhiwhu, Yang Hu, Nicholas Ketz, Soheil Kolouri, Jeffrey L. Krichmar, Praveen Pilly, Andrea Soltoggio
http://arxiv.org/abs/1909.09902v1
• [cs.LG]Deep Universal Graph Embedding Neural Network
Saurabh Verma, Zhi-Li Zhang
http://arxiv.org/abs/1909.10086v1
• [cs.LG]Do Compressed Representations Generalize Better?
Hassan Hafez-Kolahi, Shohreh Kasaei, Mahdiyeh Soleymani-Baghshah
http://arxiv.org/abs/1909.09706v1
• [cs.LG]Heterogeneous Graph Convolutional Networks for Temporal Community Detection
Yaping Zheng, Shiyi Chen, Xiaofeng Zhang, Di Wang
http://arxiv.org/abs/1909.10248v1
• [cs.LG]Improving Generative Visual Dialog by Answering Diverse Questions
Vishvak Murahari, Prithvijit Chattopadhyay, Dhruv Batra, Devi Parikh, Abhishek Das
http://arxiv.org/abs/1909.10470v1
• [cs.LG]Learning an Adaptive Learning Rate Schedule
Zhen Xu, Andrew M. Dai, Jonas Kemp, Luke Metz
http://arxiv.org/abs/1909.09712v1
• [cs.LG]LoGANv2: Conditional Style-Based Logo Generation with Generative Adversarial Networks
Cedric Oeldorf, Gerasimos Spanakis
http://arxiv.org/abs/1909.09974v1
• [cs.LG]MaLTESE: Large-Scale Simulation-Driven Machine Learning for Transient Driving Cycles
Shashi M. Aithal, Prasanna Balaprakash
http://arxiv.org/abs/1909.09929v1
• [cs.LG]Minimal Learning Machine: Theoretical Results and Clustering-Based Reference Point Selection
Joonas Hämäläinen, Alisson S. C. Alencar, Tommi Kärkkäinen, César L. C. Mattos, Amauri H. Souza Júnior, João P. P. Gomes
http://arxiv.org/abs/1909.09978v1
• [cs.LG]Model-Agnostic Linear Competitors — When Interpretable Models Compete and Collaborate with Black-Box Models
Hassan Rafique, Tong Wang, Qihang Lin
http://arxiv.org/abs/1909.10467v1
• [cs.LG]Multi-task Learning and Catastrophic Forgetting in Continual Reinforcement Learning
João Ribeiro, Francisco S. Melo, João Dias
http://arxiv.org/abs/1909.10008v1
• [cs.LG]On Model Stability as a Function of Random Seed
Pranava Madhyastha, Rishabh Jain
http://arxiv.org/abs/1909.10447v1
• [cs.LG]On the Importance of Delexicalization for Fact Verification
Sandeep Suntwal, Mithun Paul, Rebecca Sharp, Mihai Surdeanu
http://arxiv.org/abs/1909.09868v1
• [cs.LG]Online Hierarchical Clustering Approximations
Aditya Krishna Menon, Anand Rajagopalan, Baris Sumengen, Gui Citovsky, Qin Cao, Sanjiv Kumar
http://arxiv.org/abs/1909.09667v1
• [cs.LG]PAC Reinforcement Learning without Real-World Feedback
Yuren Zhong, Aniket Anand Deshmukh, Clayton Scott
http://arxiv.org/abs/1909.10449v1
• [cs.LG]Positive-Unlabeled Compression on the Cloud
Yixing Xu, Yunhe Wang, Hanting Chen, Kai Han, Chunjing Xu, Dacheng Tao, Chang Xu
http://arxiv.org/abs/1909.09757v1
• [cs.LG]Scalable Kernel Learning via the Discriminant Information
Mert Al, Zejiang Hou, Sun-Yuan Kung
http://arxiv.org/abs/1909.10432v1
• [cs.LG]Scale MLPerf-0.6 models on Google TPU-v3 Pods
Sameer Kumar, Victor Bitorff, Dehao Chen, Chiachen Chou, Blake Hechtman, HyoukJoong Lee, Naveen Kumar, Peter Mattson, Shibo Wang, Tao Wang, Yuanzhong Xu, Zongwei Zhou
http://arxiv.org/abs/1909.09756v1
• [cs.LG]Single Class Universum-SVM
Sauptik Dhar, Vladimir Cherkassky
http://arxiv.org/abs/1909.09862v1
• [cs.LG]Uncertainty Quantification with Statistical Guarantees in End-to-End Autonomous Driving Control
Rhiannon Michelmore, Matthew Wicker, Luca Laurenti, Luca Cardelli, Yarin Gal, Marta Kwiatkowska
http://arxiv.org/abs/1909.09884v1
• [cs.LG]Understanding and Robustifying Differentiable Architecture Search
Arber Zela, Thomas Elsken, Tonmoy Saikia, Yassine Marrakchi, Thomas Brox, Frank Hutter
http://arxiv.org/abs/1909.09656v1
• [cs.LG]Using theoretical ROC curves for analysing machine learning binary classifiers
Luma Omar, Ioannis Ivrissimtzis
http://arxiv.org/abs/1909.09816v1
• [cs.LG]Verified Uncertainty Calibration
Ananya Kumar, Percy Liang, Tengyu Ma
http://arxiv.org/abs/1909.10155v1
• [cs.MA]Multiagent Evaluation under Incomplete Information
Mark Rowland, Shayegan Omidshafiei, Karl Tuyls, Julien Perolat, Michal Valko, Georgios Piliouras, Remi Munos
http://arxiv.org/abs/1909.09849v1
• [cs.MM]sZoom: A Framework for Automatic Zoom into High Resolution Surveillance Videos
Mukesh Saini, Benjamin Guthier, Hao Kuang, Dwarikanath Mahapatra, Abdulmotaleb El Saddik
http://arxiv.org/abs/1909.10164v1
• [cs.NE]AHA! an ‘Artificial Hippocampal Algorithm’ for Episodic Machine Learning
Gideon Kowadlo, Abdelrahman Ahmed, David Rawlinson
http://arxiv.org/abs/1909.10340v1
• [cs.NE]An Empirical Exploration of Deep Recurrent Connections and Memory Cells Using Neuro-Evolution
Travis J. Desell, AbdElRahman A. ElSaid, Alexander G. Ororbia
http://arxiv.org/abs/1909.09502v2
• [cs.NI]5G: Agent for Further Digital Disruptive Transformations
Beng Chin Ooi, Gang Chen, Dumitrel Loghin, Wei Wang, Meihui Zhang
http://arxiv.org/abs/1909.10152v1
• [cs.NI]Space Diversity-Based Grant-Free Random Access for Critical and Non-Critical IoT Services
Rahif Kassab, Osvaldo Simeone, Andrea Munari, Federico Clazzer
http://arxiv.org/abs/1909.10283v1
• [cs.RO]An Adversarial Approach to Private Flocking in Mobile Robot Teams
Hehui Zheng, Jacopo Panerati, Giovanni Beltrame, Amanda Prorok
http://arxiv.org/abs/1909.10387v1
• [cs.RO]Decentralized Connectivity Control in Quadcopters: a Field Study of Communication Performance
Jacopo Panerati, Benjamin Ramtoula, David St-Onge, Yanjun Cao, Marcel Kaufmann, Aidan Cowley, Lorenzo Sabattini, Giovanni Beltrame
http://arxiv.org/abs/1909.10378v1
• [cs.RO]Formal Connections between Template and Anchor Models via Approximate Simulation
Vince Kurtz, Rafael Rodrigues da Silva, Patrick M. Wensing, Hai Lin
http://arxiv.org/abs/1909.09693v1
• [cs.RO]Human Position Detection & Tracking with On-robot Time-of-Flight Laser Ranging Sensors
Sarthak Arora, Shitij Kumar, Ferat Sahin
http://arxiv.org/abs/1909.09750v1
• [cs.RO]Improving CNN-based Planar Object Detection with Geometric Prior Knowledge
Jianxiong Cai, Hongyu Chen, Laurent Kneip, Sören Schwertfeger
http://arxiv.org/abs/1909.10245v1
• [cs.RO]In-hand Sliding Regrasp with Spring-Sliding Compliance
Jian Shi, Kevin M. Lynch
http://arxiv.org/abs/1909.10034v1
• [cs.RO]Language-guided Adaptive Perception with Hierarchical Symbolic Representations for Mobile Manipulators
Ethan Fahnestock, Siddharth Patki, Thomas M. Howard
http://arxiv.org/abs/1909.09880v1
• [cs.RO]Learning a Control Policy for Fall Prevention on an Assistive Walking Device
Visak C V Kumar, Sehoon Ha, Gergory Sawicki, C. Karen Liu
http://arxiv.org/abs/1909.10488v1
• [cs.RO]Modular Pipe Climber
Rama Vadapalli, Kartik Suryavanshi, Ruchita Vucha, Abhishek Sarkar, K Madhava Krishna
http://arxiv.org/abs/1909.10195v1
• [cs.RO]Omnidirectional Tractable Three Module Robot
Kartik Suryavanshi, Rama Vadapalli, Ruchitha Vucha, Abhishek Sarkar, K Madhava Krishna
http://arxiv.org/abs/1909.10277v1
• [cs.RO]Online DCM Trajectory Generation for Push Recovery of Torque-Controlled Humanoid Robots
Milad Shafiee, Giulio Romualdi, Stefano Dafarra, Francisco Javier Andrade Chavez, Daniele Pucci
http://arxiv.org/abs/1909.10403v1
• [cs.RO]Optimal Motion Planning for Multi-Modal Hybrid Locomotion
H. J. Terry Suh, Xiaobin Xiong, Andrew Singletary, Aaron D. Ames, Joel W. Burdick
http://arxiv.org/abs/1909.10209v1
• [cs.RO]Optimal Reduced-order Modeling of Bipedal Locomotion
Yu-Ming Chen, Michael Posa
http://arxiv.org/abs/1909.10111v1
• [cs.RO]Path Planning Tolerant to Degraded Locomotion Conditions
Xiaoling Long, Sören Schwertfeger
http://arxiv.org/abs/1909.10180v1
• [cs.RO]Pose Estimation for Texture-less Shiny Objects in a Single RGB Image Using Synthetic Training Data
Chen Chen, Xin Jiang, Weiguo Zhou, Yun-Hui Liu
http://arxiv.org/abs/1909.10270v1
• [cs.RO]Revisiting the Asymptotic Optimality of RRT*
Kiril Solovey, Lucas Janson, Edward Schmerling, Emilio Frazzoli, Marco Pavone
http://arxiv.org/abs/1909.09688v1
• [cs.RO]Robot Navigation in Crowds by Graph Convolutional Networks with Attention Learned from Human Gaze
Yuying Chen, Congcong Liu, Ming Liu, Bertram E. Shi
http://arxiv.org/abs/1909.10400v1
• [cs.RO]Safer End-to-End Autonomous Driving via Conditional Imitation Learning and Command Augmentation
Renhao Wang, Adam Scibior, Frank Wood
http://arxiv.org/abs/1909.09721v1
• [cs.RO]Self-Healing Ground-and-Air Connectivity Chains
Vivek Shankar Varadharajan, David St-Onge, Bram Adams, Giovanni Beltrame
http://arxiv.org/abs/1909.10496v1
• [cs.RO]Self-supervised 6D Object Pose Estimation for Robot Manipulation
Xinke Deng, Yu Xiang, Arsalan Mousavian, Clemens Eppner, Timothy Bretl, Dieter Fox
http://arxiv.org/abs/1909.10159v1
• [cs.RO]String Diagrams for Assembly Planning
Jade Master, Evan Patterson, Shahin Yousfi, Arquimedes Canedo
http://arxiv.org/abs/1909.10475v1
• [cs.RO]Upper Body Pose Estimation Using Wearable Inertial Sensors and Multiplicative Kalman Filter
Tommaso Lisini Baldi, Francesco Farina, Andrea Garulli, Antonio Giannitrapani, Domenico Prattichizzo
http://arxiv.org/abs/1909.10376v1
• [cs.RO]Whole-Body Geometric Retargeting for Humanoid Robots
Kourosh Darvish, Yeshasvi Tirupachuri, Giulio Romualdi, Lorenzo Rapetti, Diego Ferigo, Francisco Javier Andrade Chavez, Daniele Pucci
http://arxiv.org/abs/1909.10080v1
• [cs.SD]CochleaNet: A Robust Language-independent Audio-Visual Model for Speech Enhancement
Mandar Gogate, Kia Dashtipour, Ahsan Adeel, Amir Hussain
http://arxiv.org/abs/1909.10407v1
• [cs.SE]Formalism for Supporting the Development of Verifiably Safe Medical Guidelines with Statecharts
Chunhui Guo, Zhicheng Fu, Zhenyu Zhang, Shangping Ren, Lui Sha
http://arxiv.org/abs/1909.10493v1
• [cs.SI]A Multi-Strategy Approach to Overcoming Bias in Community Detection Evaluation
Jeancarlo Campos Leão, Alberto H. F. Laender, Pedro O. S. Vaz de Melo
http://arxiv.org/abs/1909.09903v1
• [cs.SI]A Probabilistic Graph Model for Trust Opinion Estimation in Online Social Networks
Luke Liu, Qing Yang
http://arxiv.org/abs/1909.10055v1
• [cs.SI]Community Detection and Improved Detectability in Multiplex Networks
Yuming Huang, Ashkan Panahi, Hamid Krim, Liyi Dai
http://arxiv.org/abs/1909.10477v1
• [cs.SI]Embedding-based Qualitative Analysis of Polarization in Turkey
Mucahid Kutlu, Kareem Darwish, Cansin Bayrak, Ammar Rashed, Tamer Elsayed
http://arxiv.org/abs/1909.10213v1
• [cs.SI]Incremental Fairness in Two-Sided Market Platforms: On Updating Recommendations Fairly
Gourab K Patro, Abhijnan Chakraborty, Niloy Ganguly, Krishna P. Gummadi
http://arxiv.org/abs/1909.10005v1
• [cs.SI]Making a Case for MLNs for Data-Driven Analysis: Modeling, Efficiency, and Versatility
Abhishek Santra, Kanthi Sannappa Komar, Sanjukta Bhowmick, Sharma Chakravarthy
http://arxiv.org/abs/1909.09908v1
• [cs.SI]Predicting consumers engagement on Facebook based on what and how companies write
Érika S. Rosas-Quezada, Gabriela Ramírez-de-la-Rosa, Esaú Villatoro-Tello
http://arxiv.org/abs/1909.09914v1
• [cs.SI]Trust Assessment in Online Social Networks
Guangchi Liu, Qing Yang, Honggang Wang, Alex X. Liu
http://arxiv.org/abs/1909.10066v1
• [eess.IV]Deep Local Global Refinement Network for Stent Analysis in IVOCT Images
Yuyu Guo
http://arxiv.org/abs/1909.10169v1
• [eess.SP]Deep learning approach to control of prosthetic hands with electromyography signals
Mohsen Jafarzadeh, Daniel Curtiss Hussey, Yonas Tadesse
http://arxiv.org/abs/1909.09910v1
• [eess.SP]Distributed Conjugate Gradient Tracking for Resource Allocation in Unbalanced Networks
Jiaqi Zhang, Keyou You, Kai Cai
http://arxiv.org/abs/1909.09937v1
• [eess.SP]Gridless Angular Domain Channel Estimation for mmWave Massive MIMO System With One-Bit Quantization Via Approximate Message Passing
Liangyuan Xu, Feifei Gao, Cheng Qian
http://arxiv.org/abs/1909.10114v1
• [eess.SY]Constrained Attractor Selection Using Deep Reinforcement Learning
Xue-She Wang, James D. Turner, Brian P. Mann
http://arxiv.org/abs/1909.10500v1
• [eess.SY]Controller Synthesis for Multi-Agent Systems With Intermittent Communication: A Metric Temporal Logic Approach
Zhe Xu, Federico M. Zegers, Bo Wu, Warren Dixon, Ufuk Topcu
http://arxiv.org/abs/1909.09939v1
• [eess.SY]Flying batteries: In-flight battery switching to increase multirotor flight time
Karan P. Jain, Mark W. Mueller
http://arxiv.org/abs/1909.10091v1
• [eess.SY]Sequential Dynamic Resource Allocation for Epidemic Control
Mathilde Fekom, Nicolas Vayatis, Argyris Kalogeratos
http://arxiv.org/abs/1909.09678v1
• [math.CO]Whitney Numbers of Combinatorial Geometries and Higher-Weight Dowling Lattices
Alberto Ravagnani
http://arxiv.org/abs/1909.10249v1
• [math.NA]PDE-Inspired Algorithms for Semi-Supervised Learning on Point Clouds
Oliver M. Crook, Tim Hurst, Carola-Bibiane Schönlieb, Matthew Thorpe, Konstantinos C. Zygalakis
http://arxiv.org/abs/1909.10221v1
• [math.NA]Strapdown Attitude Computation: Functional Iterative Integration versus Taylor Series Expansion
Yuanxin Wu, Yury A. Litmanovich
http://arxiv.org/abs/1909.09935v1
• [math.OC]A Time-Dependent TSP Formulation for the Design of an Active Debris Removal Mission using Simulated Annealing
Lorenzo Federici, Alessandro Zavoli, Guido Colasurdo
http://arxiv.org/abs/1909.10427v1
• [math.OC]Conservative set valued fields, automatic differentiation, stochastic gradient method and deep learning
Jérôme Bolte, Edouard Pauwels
http://arxiv.org/abs/1909.10300v1
• [math.OC]Decentralized Markov Chain Gradient Descent
Tao Sun, Tianyi Chen, Yuejiao Sun, Qing Liao, Dongsheng Li
http://arxiv.org/abs/1909.10238v1
• [math.OC]Efficient Learning of Distributed Linear-Quadratic Controllers
Salar Fattahi, Nikolai Matni, Somayeh Sojoudi
http://arxiv.org/abs/1909.09895v1
• [math.OC]Necessary and Sufficient Conditions for Adaptive, Mirror, and Standard Gradient Methods
Daniel Levy, John C. Duchi
http://arxiv.org/abs/1909.10455v1
• [math.PR]On the Whittle estimator for linear random noise spectral density parameter in continuous-time nonlinear regression models
A. V. Ivanov, N. N. Leonenko, I. V. Orlovskyi
http://arxiv.org/abs/1909.10457v1
• [math.PR]Time Series, Persistent Homology and Chirality
Yuliy Baryshnikov
http://arxiv.org/abs/1909.09846v1
• [math.PR]Universal Lossless Compression of Graphical Data
Payam Delgosha, Venkat Anantharam
http://arxiv.org/abs/1909.09844v1
• [math.ST]A new coefficient of correlation
Sourav Chatterjee
http://arxiv.org/abs/1909.10140v1
• [math.ST]Approximate Shannon Sampling in Importance Sampling: Nearly Consistent Finite Particle Estimates
Alec Koppel, Amrit Singh Bedi, Victor Elvira, Brian M. Sadler
http://arxiv.org/abs/1909.10279v1
• [math.ST]Bayesian Inference on Multivariate Medians and Quantiles
Indrabati Bhattacharya, Subhashis Ghosal
http://arxiv.org/abs/1909.10110v1
• [math.ST]Computing the degrees of freedom of rank-regularized estimators and cousins
Rahul Mazumder, Haolei Weng
http://arxiv.org/abs/1909.10143v1
• [math.ST]Dimension reduction in spatial regression with kernel SAVE method
Mètolidji Moquilas Raymond Affossogbe, Guy Martial Nkiet, Carlos Ogouyandjou
http://arxiv.org/abs/1909.09996v1
• [math.ST]Distribution-free consistent independence tests via Hallin’s multivariate rank
Hongjian Shi, Mathias Drton, Fang Han
http://arxiv.org/abs/1909.10024v1
• [math.ST]On uniform continuity of posterior distributions
Emanuele Dolera, Edoardo Mainini
http://arxiv.org/abs/1909.10197v1
• [math.ST]PAC-Bayesian Bounds for Deep Gaussian Processes
Roman Föll, Ingo Steinwart
http://arxiv.org/abs/1909.09985v1
• [math.ST]Probabilistic Fitting of Topological Structure to Data
James T. Griffin
http://arxiv.org/abs/1909.10047v1
• [math.ST]Quantile LASSO with changepoints in panel data models applied to option pricing
Matúš Maciak
http://arxiv.org/abs/1909.10271v1
• [math.ST]Sparse Group Lasso: Optimal Sample Complexity, Convergence Rate, and Statistical Inference
T. Tony Cai, Anru Zhang, Yuchen Zhou
http://arxiv.org/abs/1909.09851v1
• [physics.comp-ph]PPINN: Parareal Physics-Informed Neural Network for time-dependent PDEs
Xuhui Meng, Zhen Li, Dongkun Zhang, George Em Karniadakis
http://arxiv.org/abs/1909.10145v1
• [physics.comp-ph]Recurrent Neural Network-based Model for Accelerated Trajectory Analysis in AIMD Simulations
Mohammad Javad Eslamibidgoli, Mehrdad Mokhtari, Michael H. Eikerling
http://arxiv.org/abs/1909.10124v1
• [physics.soc-ph]Differences in structure and dynamics of networks retrieved from dark and public web forums
Maryam Zamani, Fereshteh Rabbani, Attila Horicsányi, Anna Zafeiris, Tamas Vicsek
http://arxiv.org/abs/1909.10259v1
• [physics.soc-ph]Reduced network extremal ensemble learning (RenEEL) scheme for community detection in complex networks
Jiahao Guo, Pramesh Singh, Kevin E. Bassler
http://arxiv.org/abs/1909.10491v1
• [physics.soc-ph]Sensitivity of collective outcomes identifies pivotal components
Edward D. Lee, Daniel M. Katz, Michael J. Bommarito II, Paul Ginsparg
http://arxiv.org/abs/1909.10117v1
• [q-fin.PM]Machine Learning Optimization Algorithms & Portfolio Allocation
Sarah Perrin, Thierry Roncalli
http://arxiv.org/abs/1909.10233v1
• [stat.AP]IFAA: Robust association identification and Inference For Absolute Abundance in microbiome analyses
Zhigang Li, Lu Tian, A. James O’Malley, Margaret R. Karagas, Anne G. Hoen, Brock C. Christensen, Juliette C. Madan, Quran Wu, Raad Z. Gharaibeh, Christian Jobin, Hongzhe Li
http://arxiv.org/abs/1909.10101v1
• [stat.AP]Outlier-Detection Based Robust Information Fusion for Networked Systems
Hongwei Wang, Hongbin Li, Wei Zhang, Junyi Zuo, Heping Wang, Jun Fang
http://arxiv.org/abs/1909.10006v1
• [stat.AP]Robust Inference for Skewed data in Health Sciences
Amarnath Nandy, Ayanendranath Basu, Abhik Ghosh
http://arxiv.org/abs/1909.10285v1
• [stat.AP]What do adoption patterns of solar panels observed so far tell about governments’ incentive? insight from diffusion models
Anita M. Bunea, Pietro Manfredi, Pompeo Della Posta, Mariangela Guidolin
http://arxiv.org/abs/1909.10017v1
• [stat.ME]DECoVaC: Design of Experiments with Controlled Variability Components
Thomas Boquet, Laure Delisle, Denis Kochetkov, Nathan Schucher, Parmida Atighehchian, Boris Oreshkin, Julien Cornebise
http://arxiv.org/abs/1909.09859v1
• [stat.ME]Improve Orthogonal GARCH with Hidden Markov Model
Yufan Li
http://arxiv.org/abs/1909.10108v1
• [stat.ME]Meaningful causal decompositions in health equity research: definition, identification, and estimation through a weighting framework
John W. Jackson
http://arxiv.org/abs/1909.10060v1
• [stat.ME]Semantic and Cognitive Tools to Aid Statistical Inference: Replace Confidence and Significance by Compatibility and Surprise
Zad R. Chow, Sander Greenland
http://arxiv.org/abs/1909.08579v3
• [stat.ME]The Locally Gaussian Partial Correlation
Håkon Otneim, Dag Tjøstheim
http://arxiv.org/abs/1909.09681v1
• [stat.ME]To Aid Statistical Inference, Emphasize Unconditional Descriptions of Statistics
Sander Greenland, Zad R. Chow
http://arxiv.org/abs/1909.08583v3
• [stat.ML]A generalization of regularized dual averaging and its dynamics
Shih-Kang Chao, Guang Cheng
http://arxiv.org/abs/1909.10072v1
• [stat.ML]ASNI: Adaptive Structured Noise Injection for shallow and deep neural networks
Beyrem Khalfaoui, Joseph Boyd, Jean-Philippe Vert
http://arxiv.org/abs/1909.09819v1
• [stat.ML]Inference of modes for linear stochastic processes
Robert S. MacKay
http://arxiv.org/abs/1909.10247v1
• [stat.ML]Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions
Boris Knyazev, Carolyn Augusta, Graham W. Taylor
http://arxiv.org/abs/1909.10367v1
• [stat.ML]Manifold Fitting under Unbounded Noise
Zhigang Yao, Yuqing Xia
http://arxiv.org/abs/1909.10228v1
• [stat.ML]Optimal query complexity for private sequential learning
Jiaming Xu, Dana Yang
http://arxiv.org/abs/1909.09836v1
• [stat.ML]Particle Smoothing Variational Objectives
Antonio Khalil Moretti, Zizhao Wang, Luhuan Wu, Iddo Drori, Itsik Pe’er
http://arxiv.org/abs/1909.09734v1
• [stat.ML]Using Statistics to Automate Stochastic Optimization
Hunter Lang, Pengchuan Zhang, Lin Xiao
http://arxiv.org/abs/1909.09785v1