astro-ph.IM - 仪器仪表和天体物理学方法

    cs.AI - 人工智能 cs.CC - 计算复杂度 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.ET - 新兴技术 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.MA - 多代理系统 cs.NE - 神经与进化计算 cs.RO - 机器人学 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.ST - 统计理论 physics.comp-ph - 计算物理学 physics.flu-dyn - 流体动力学 physics.soc-ph - 物理学与社会 q-bio.MN - 分子网络 q-bio.PE - 人口与发展 quant-ph - 量子物理 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.IM]Bonsai-SPH: A GPU accelerated astrophysical Smoothed Particle Hydrodynamics code
    • [cs.AI]Extending and Automating Basic Probability Theory with Propositional Computability Logic
    • [cs.AI]Real-time Multi-target Path Prediction and Planning for Autonomous Driving aided by FCN
    • [cs.AI]Vehicle routing by learning from historical solutions
    • [cs.CC]The Computational Complexity of Fire Emblem Series and similar Tactical Role-Playing Games
    • [cs.CL]BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle
    • [cs.CL]Bridging the Gap between Pre-Training and Fine-Tuning for End-to-End Speech Translation
    • [cs.CL]Character-Centric Storytelling
    • [cs.CL]Course Concept Expansion in MOOCs with External Knowledge and Interactive Game
    • [cs.CL]Do NLP Models Know Numbers? Probing Numeracy in Embeddings
    • [cs.CL]Grounding learning of modifier dynamics: An application to color naming
    • [cs.CL]K-BERT: Enabling Language Representation with Knowledge Graph
    • [cs.CL]KorQuAD1.0: Korean QA Dataset for Machine Reading Comprehension
    • [cs.CL]Learning Explicit and Implicit Structures for Targeted Sentiment Analysis
    • [cs.CL]Learning to Deceive with Attention-Based Explanations
    • [cs.CL]Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering
    • [cs.CL]Multi-view and Multi-source Transfers in Neural Topic Modeling with Pretrained Topic and Word Embeddings
    • [cs.CL]Pointer-based Fusion of Bilingual Lexicons into Neural Machine Translation
    • [cs.CL]Probing Natural Language Inference Models through Semantic Fragments
    • [cs.CL]Say Anything: Automatic Semantic Infelicity Detection in L2 English Indefinite Pronouns
    • [cs.CL]Semantic Relatedness Based Re-ranker for Text Spotting
    • [cs.CL]Short-Text Classification Using Unsupervised Keyword Expansion
    • [cs.CL]Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering
    • [cs.CL]SocialNLP EmotionX 2019 Challenge Overview: Predicting Emotions in Spoken Dialogues and Chats
    • [cs.CL]Span-based Joint Entity and Relation Extraction with Transformer Pre-training
    • [cs.CR]KRNC: New Foundations for Permissionless Byzantine Consensus and Global Monetary Stability
    • [cs.CR]Network entity characterization and attack prediction
    • [cs.CR]Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks
    • [cs.CR]Towards Efficient and Secure Delivery of Data for Deep Learning with Privacy-Preserving
    • [cs.CR]Truthful and Faithful Monetary Policy for a Stablecoin Conducted by a Decentralised, Encrypted Artificial Intelligence
    • [cs.CR]Walling up Backdoors in Intrusion Detection Systems
    • [cs.CV]A machine vision meta-algorithm for automated recognition of underwater objects using sidescan sonar imagery
    • [cs.CV]A*3D Dataset: Towards Autonomous Driving in Challenging Environments
    • [cs.CV]AdaptIS: Adaptive Instance Selection Network
    • [cs.CV]Alleviating Feature Confusion for Generative Zero-shot Learning
    • [cs.CV]An Image Based Visual Servo Approach with Deep Learning for Robotic Manipulation
    • [cs.CV]An Internal Learning Approach to Video Inpainting
    • [cs.CV]Building Change Detection for Remote Sensing Images Using a Dual Task Constrained Deep Siamese Convolutional Network Model
    • [cs.CV]Chinese Street View Text: Large-scale Chinese Text Reading with Partially Supervised Learning
    • [cs.CV]Constructing Dynamic Knowledge Graph for Visual Semantic Understanding and Applications in Autonomous Robotics
    • [cs.CV]Cycle-consistent Conditional Adversarial Transfer Networks
    • [cs.CV]DS-PASS: Detail-Sensitive Panoramic Annular Semantic Segmentation through SwaftNet for Surrounding Sensing
    • [cs.CV]Data-Efficient Classification of Birdcall Through Convolutional Neural Networks Transfer Learning
    • [cs.CV]Deep End-to-End Alignment and Refinement for Time-of-Flight RGB-D Module
    • [cs.CV]Deep Point-wise Prediction for Action Temporal Proposal
    • [cs.CV]HAD-GAN: A Human-perception Auxiliary Defense GAN model to Defend Adversarial Examples
    • [cs.CV]ICDAR 2019 Competition on Large-scale Street View Text with Partial Labeling — RRC-LSVT
    • [cs.CV]Improving the Learning of Multi-column Convolutional Neural Network for Crowd Counting
    • [cs.CV]Inverse Visual Question Answering with Multi-Level Attentions
    • [cs.CV]Learn to Segment Organs with a Few Bounding Boxes
    • [cs.CV]Learning Deformable Point Set Registration with Regularized Dynamic Graph CNNs for Large Lung Motion in COPD Patients
    • [cs.CV]Learning Geo-Temporal Image Features
    • [cs.CV]Learning to Find Hydrological Corrections
    • [cs.CV]Multi-mapping Image-to-Image Translation via Learning Disentanglement
    • [cs.CV]Multimodal Deep Models for Predicting Affective Responses Evoked by Movies
    • [cs.CV]Multimodal Multitask Representation Learning for Pathology Biobank Metadata Prediction
    • [cs.CV]Object-Centric Stereo Matching for 3D Object Detection
    • [cs.CV]Progressive Fusion for Unsupervised Binocular Depth Estimation using Cycled Networks
    • [cs.CV]ProtoGAN: Towards Few Shot Learning for Action Recognition
    • [cs.CV]Reproducibility of an airway tapering measurement in CT with application to bronchiectasis
    • [cs.CV]STELA: A Real-Time Scene Text Detector with Learned Anchor
    • [cs.CV]Scene Compliant Trajectory Forecast with Agent-Centric Spatio-Temporal Grids
    • [cs.CV]Spatio-Semantic ConvNet-Based Visual Place Recognition
    • [cs.CV]Task-Aware Monocular Depth Estimation for 3D Object Detection
    • [cs.CV]TextSR: Content-Aware Text Super-Resolution Guided by Recognition
    • [cs.CV]Thanks for Nothing: Predicting Zero-Valued Activations with Lightweight Convolutional Neural Networks
    • [cs.CV]Weak Edge Identification Nets for Ocean Front Detection
    • [cs.CV]re-OBJ: Jointly Learning the Foreground and Background for Object Instance Re-identification
    • [cs.CY]A Forensic Qualitative Analysis of Contributions to Wikipedia from Anonymity Seeking Users
    • [cs.CY]A prototype for a serious digital game to teach linguistic ontologies
    • [cs.CY]Discovering Differential Features: Adversarial Learning for Information Credibility Evaluation
    • [cs.CY]Estimating Glycemic Impact of Cooking Recipes via Online Crowdsourcing and Machine Learning
    • [cs.CY]Machine learning in healthcare — a system’s perspective
    • [cs.CY]Modeling Traffic Congestion with Spatiotemporal Big Data for An Intelligent Freeway Monitoring System
    • [cs.DC]Alpaca: Intermittent Execution without Checkpoints
    • [cs.DC]An Efficient Mechanism for Computation Offloading in Mobile-Edge Computing
    • [cs.DC]Certifying Blockchain Byzantine Fault Tolerance
    • [cs.DC]DeepDriveMD: Deep-Learning Driven Adaptive Molecular Simulations for Protein Folding
    • [cs.DC]HERALD: Optimizing Heterogeneous DNN Accelerators for Edge Devices
    • [cs.DC]Mitigating Network Noise on Dragonfly Networks through Application-Aware Routing
    • [cs.DC]Network-Aware Container Scheduling in Multi-Tenant Data Center
    • [cs.DS]Communication-Efficient Weighted Sampling and Quantile Summary for GBDT
    • [cs.DS]Object Reachability via Swaps under Strict and Weak Preferences
    • [cs.DS]Regular Partitions and Their Use in Structural Pattern Recognition
    • [cs.ET]High-Throughput In-Memory Computing for Binary Deep Neural Networks with Monolithically Integrated RRAM and 90nm CMOS
    • [cs.HC]Automatic Detection and Classification of Cognitive Distortions in Mental Health Text
    • [cs.IR]Characterizing and Predicting Repeat Food Consumption Behavior for Just-in-Time Interventions
    • [cs.IR]Document classification methods
    • [cs.IR]Fast Search with Poor OCR
    • [cs.IR]Variational Bayesian Context-aware Representation for Grocery Recommendation
    • [cs.IT]Analog Subspace Coding: A New Approach to Coding for Non-Coherent Wireless Networks
    • [cs.IT]Deep Learning based Precoding for the MIMO Gaussian Wiretap Channel
    • [cs.IT]Efficient, Fair and QoS-Aware Policies for Wirelessly Powered Communication Networks
    • [cs.IT]Ergodic Spectral Efficiency of Massive MIMO with Correlated Rician Channel and MRC Detection based on LS and MMSE Channel Estimation
    • [cs.IT]LDPC Codes Achieve List Decoding Capacity
    • [cs.IT]Learning to Search for MIMO Detection
    • [cs.IT]Local Decode and Update for Big Data Compression
    • [cs.IT]On Decoding Cohen-Haeupler-Schulman Tree Codes
    • [cs.IT]On the Optimality of the Greedy Policy for Battery Limited Energy Harvesting Communications
    • [cs.LG]!MDP Playground: Meta-Features in Reinforcement Learning
    • [cs.LG]A Characteristic Function Approach to Deep Implicit Generative Modeling
    • [cs.LG]A Hybrid Deep Learning Approach for Diagnosis of the Erythemato-Squamous Disease
    • [cs.LG]A Linearly Constrained Nonparametric Framework for Imitation Learning
    • [cs.LG]A Review of Tracking, Prediction and Decision Making Methods for Autonomous Driving
    • [cs.LG]Algorithm for Training Neural Networks on Resistive Device Arrays
    • [cs.LG]Attraction-Repulsion Actor-Critic for Continuous Control Reinforcement Learning
    • [cs.LG]BAFFLE : Blockchain based Aggregator Free Federated Learning
    • [cs.LG]Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients
    • [cs.LG]Conformal Prediction based Spectral Clustering
    • [cs.LG]Deep Neural Networks for Choice Analysis: Architectural Design with Alternative-Specific Utility Functions
    • [cs.LG]Distributed Function Minimization in Apache Spark
    • [cs.LG]Dynamic survival prediction in intensive care units from heterogeneous time series without the need for variable selection or pre-processing
    • [cs.LG]Emergent Tool Use From Multi-Agent Autocurricula
    • [cs.LG]Generating Black-Box Adversarial Examples for Text Classifiers Using a Deep Reinforced Model
    • [cs.LG]Global Optimal Path-Based Clustering Algorithm
    • [cs.LG]Hierarchical Reinforcement Learning for Open-Domain Dialog
    • [cs.LG]K-TanH: Hardware Efficient Activations For Deep Learning
    • [cs.LG]Learning Index Selection with Structured Action Spaces
    • [cs.LG]Ludwig: a type-based declarative deep learning toolbox
    • [cs.LG]MetalGAN: a Cluster-based Adaptive Training for Few-Shot Adversarial Colorization
    • [cs.LG]Multi Sense Embeddings from Topic Models
    • [cs.LG]Multi-Task Learning for Automotive Foggy Scene Understanding via Domain Adaptation to an Illumination-Invariant Representation
    • [cs.LG]Policy Prediction Network: Model-Free Behavior Policy with Model-Based Learning in Continuous Action Space
    • [cs.LG]Refined $α$-Divergence Variational Inference via Rejection Sampling
    • [cs.LG]They Might NOT Be Giants: Crafting Black-Box Adversarial Examples with Fewer Queries Using Particle Swarm Optimization
    • [cs.LG]Towards a Rigorous Evaluation of XAI Methods on Time Series
    • [cs.LG]Visualizing How Embeddings Generalize
    • [cs.LG]Visualizing Movement Control Optimization Landscapes
    • [cs.LG]Weighted Sampling for Combined Model Selection and Hyperparameter Tuning
    • [cs.LG]Where are the Keys? — Learning Object-Centric Navigation Policies on Semantic Maps with Graph Convolutional Networks
    • [cs.LG]sktime: A Unified Interface for Machine Learning with Time Series
    • [cs.LO]Controlling a Random Population is EXPTIME-hard
    • [cs.LO]Proceedings 35th International Conference on Logic Programming (Technical Communications)
    • [cs.MA]TruPercept: Trust Modelling for Autonomous Vehicle Cooperative Perception from Synthetic Data
    • [cs.NE]Reservoirs learn to learn
    • [cs.RO]Adversarial Feature Training for Generalizable Robotic Visuomotor Control
    • [cs.RO]Biped Stabilization by Linear Feedback of the Variable-Height Inverted Pendulum Model
    • [cs.RO]Champion Team Paper: Dynamic Passing-Shooting Algorithm Based on CUDA of The RoboCup SSL 2019 Champion
    • [cs.RO]Configuration-Space Flipper Planning on 3D Terrain
    • [cs.RO]Deep Robotic Prediction with hierarchical RGB-D Fusion
    • [cs.RO]Design of the Anatomically Correct, Biomechatronic Hand
    • [cs.RO]Improving Human Performance Using Mixed Granularity of Control in Multi-Human Multi-Robot Interaction
    • [cs.RO]Inferring and Learning Multi-Robot Policies by Observing an Expert
    • [cs.RO]Is That a Chair? Imagining Affordances Using Simulations of an Articulated Human Body
    • [cs.RO]Learning to Manipulate Object Collections Using Grounded State Representations
    • [cs.RO]Multi-robot persistent surveillance with connectivity constraints
    • [cs.RO]Multimodal Dataset of Human-Robot Hugging Interaction
    • [cs.RO]Real-Time Variational Fisheye Stereo without Rectification and Undistortion
    • [cs.RO]Synchronous Maneuver Searching and Trajectory Planning for Autonomous Vehicles in Dynamic Traffic Environments
    • [cs.RO]What Are You Looking at? Detecting Human Intention in Gaze based Human-Robot Interaction
    • [cs.SI]ASSED — A Framework for Identifying Physical Events through Adaptive Social Sensor Data Filtering
    • [econ.EM]Distributional conformal prediction
    • [eess.AS]Voice Conversion Using Cycle-Consistent Variational Autoencoder
    • [eess.IV]A Convergence Proof of Projected Fast Iterative Soft-thresholding Algorithm for Parallel Magnetic Resonance Imaging
    • [eess.IV]Efficient 3D Fully Convolutional Networks for Pulmonary Lobe Segmentation in CT Images
    • [eess.IV]Multi-FAN: Multi-Spectral Mosaic Super-Resolution Via Multi-Scale Feature Aggregation Network
    • [eess.IV]Radiopathomics: Integration of radiographic and histologic characteristics for prognostication in glioblastoma
    • [eess.IV]Single-shot 3D shape reconstruction using deep convolutional neural networks
    • [eess.IV]Z-Net: an Asymmetric 3D DCNN for Medical CT Volume Segmentation
    • [eess.SP]Coherence Statistics of Structured Random Ensembles and Support Detection Bounds for OMP
    • [eess.SP]Gated Recurrent Units Learning for Optimal Deployment of Visible Light Communications Enabled UAVs
    • [eess.SP]Unitary Shift Operators on a Graph
    • [eess.SY]Experimental Validation of Stable Coordination for Multi-Robot Systems with Limited Fields of View using a PortableMulti-Robot Testbed
    • [eess.SY]Model-Based Real-Time Motion Tracking using Dynamical Inverse Kinematics
    • [math.OC]On-line Non-Convex Constrained Optimization
    • [math.OC]Source Seeking in Unknown Environments with Convex Obstacles
    • [math.ST]Estimation of Wasserstein distances in the Spiked Transport Model
    • [math.ST]Minimax Confidence Intervals for the Sliced Wasserstein Distance
    • [math.ST]The Mathematics of Benford’s Law — A Primer
    • [math.ST]Two-Sample Test Based on Classification Probability
    • [physics.comp-ph]Graph Nets for Partial Charge Prediction
    • [physics.comp-ph]Towards Unsupervised Segmentation of Extreme Weather Events
    • [physics.flu-dyn]On the Physical Interpretation of Proper Orthogonal Decomposition and Dynamic Mode Decomposition for Liquid Injection
    • [physics.soc-ph]Social Network Analysis of Corruption Structures: Adjacency Matrices Supporting the Visualization and Quantification of Layeredness
    • [physics.soc-ph]The Impact of Technologies in Political Campaigns
    • [q-bio.MN]Meta-analysis of Gene Expression in Neurodegenerative Diseases Reveals Patterns in GABA Synthesis and Heat Stress Pathways
    • [q-bio.PE]Bayesian inference of species trees using diffusion models
    • [quant-ph]Quantum algorithm for finding the negative curvature direction in non-convex optimization
    • [stat.CO]Approximating posteriors with high-dimensional nuisance parameters via integrated rotated Gaussian approximation
    • [stat.ME]A goodness-of-fit test for the functional linear model with functional response
    • [stat.ME]Efficient and Robust Estimation of Linear Regression with Normal Errors
    • [stat.ME]Improved Semiparametric Analysis of Polygenic Gene-Environment Interactions in Case-Control Studies
    • [stat.ME]Multiclass classification of growth curves using random change points and heterogeneous random effects
    • [stat.ML]BLOCCS: Block Sparse Canonical Correlation Analysis With Application To Interpretable Omics Integration
    • [stat.ML]Compositional uncertainty in deep Gaussian processes
    • [stat.ML]Efficient Transfer Bayesian Optimization with Auxiliary Information
    • [stat.ML]Prediction of rare feature combinations in population synthesis: Application of deep generative modelling
    • [stat.ML]Ranking metrics on non-shuffled traffic
    • [stat.ML]Sparse Canonical Correlation Analysis via Concave Minimization
    • [stat.ML]Stacking Models for Nearly Optimal Link Prediction in Complex Networks
    • [stat.ML]Variable selection with false discovery rate control in deep neural networks

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    • [astro-ph.IM]Bonsai-SPH: A GPU accelerated astrophysical Smoothed Particle Hydrodynamics code
    Jeroen Bédorf, Simon Portegies Zwart
    http://arxiv.org/abs/1909.07439v1

    • [cs.AI]Extending and Automating Basic Probability Theory with Propositional Computability Logic
    Keehang Kwon
    http://arxiv.org/abs/1909.07375v1

    • [cs.AI]Real-time Multi-target Path Prediction and Planning for Autonomous Driving aided by FCN
    Hongtu Zhou, Xinneng Yang, Enwei Zhang, Junqiao Zhao, Lewen Cai, Chen Ye, Yan Wu
    http://arxiv.org/abs/1909.07592v1

    • [cs.AI]Vehicle routing by learning from historical solutions
    Rocsildes Canoy, Tias Guns
    http://arxiv.org/abs/1909.07893v1

    • [cs.CC]The Computational Complexity of Fire Emblem Series and similar Tactical Role-Playing Games
    Jiawei Gao
    http://arxiv.org/abs/1909.07816v1

    • [cs.CL]BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle
    Peter West, Ari Holtzman, Jan Buys, Yejin Choi
    http://arxiv.org/abs/1909.07405v1

    • [cs.CL]Bridging the Gap between Pre-Training and Fine-Tuning for End-to-End Speech Translation
    Chengyi Wang, Yu Wu, Shujie Liu, Zhenglu Yang, Ming Zhou
    http://arxiv.org/abs/1909.07575v1

    • [cs.CL]Character-Centric Storytelling
    Aditya Surikuchi, Jorma Laaksonen
    http://arxiv.org/abs/1909.07863v1

    • [cs.CL]Course Concept Expansion in MOOCs with External Knowledge and Interactive Game
    Jifan Yu, Chenyu Wang, Gan Luo, Lei Hou, Juanzi Li, Jie Tang, Zhiyuan Liu
    http://arxiv.org/abs/1909.07739v1

    • [cs.CL]Do NLP Models Know Numbers? Probing Numeracy in Embeddings
    Eric Wallace, Yizhong Wang, Sujian Li, Sameer Singh, Matt Gardner
    http://arxiv.org/abs/1909.07940v1

    • [cs.CL]Grounding learning of modifier dynamics: An application to color naming
    Xudong Han, Philip Schulz, Trevor Cohn
    http://arxiv.org/abs/1909.07586v1

    • [cs.CL]K-BERT: Enabling Language Representation with Knowledge Graph
    Weijie Liu, Peng Zhou, Zhe Zhao, Zhiruo Wang, Qi Ju, Haotang Deng, Ping Wang
    http://arxiv.org/abs/1909.07606v1

    • [cs.CL]KorQuAD1.0: Korean QA Dataset for Machine Reading Comprehension
    Seungyoung Lim, Myungji Kim, Jooyoul Lee
    http://arxiv.org/abs/1909.07005v2

    • [cs.CL]Learning Explicit and Implicit Structures for Targeted Sentiment Analysis
    Hao Li, Wei Lu
    http://arxiv.org/abs/1909.07593v1

    • [cs.CL]Learning to Deceive with Attention-Based Explanations
    Danish Pruthi, Mansi Gupta, Bhuwan Dhingra, Graham Neubig, Zachary C. Lipton
    http://arxiv.org/abs/1909.07913v1

    • [cs.CL]Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering
    Ameya Godbole, Dilip Kavarthapu, Rajarshi Das, Zhiyu Gong, Abhishek Singhal, Hamed Zamani, Mo Yu, Tian Gao, Xiaoxiao Guo, Manzil Zaheer, Andrew McCallum
    http://arxiv.org/abs/1909.07598v1

    • [cs.CL]Multi-view and Multi-source Transfers in Neural Topic Modeling with Pretrained Topic and Word Embeddings
    Pankaj Gupta, Yatin Chaudhary, Hinrich Schütze
    http://arxiv.org/abs/1909.06563v2

    • [cs.CL]Pointer-based Fusion of Bilingual Lexicons into Neural Machine Translation
    Jetic Gū, Hassan S. Shavarani, Anoop Sarkar
    http://arxiv.org/abs/1909.07907v1

    • [cs.CL]Probing Natural Language Inference Models through Semantic Fragments
    Kyle Richardson, Hai Hu, Lawrence S. Moss, Ashish Sabharwal
    http://arxiv.org/abs/1909.07521v1

    • [cs.CL]Say Anything: Automatic Semantic Infelicity Detection in L2 English Indefinite Pronouns
    Ella Rabinovich, Julia Watson, Barend Beekhuizen, Suzanne Stevenson
    http://arxiv.org/abs/1909.07928v1

    • [cs.CL]Semantic Relatedness Based Re-ranker for Text Spotting
    Ahmed Sabir, Francesc Moreno-Noguer, Lluís Padró
    http://arxiv.org/abs/1909.07950v1

    • [cs.CL]Short-Text Classification Using Unsupervised Keyword Expansion
    Duncan Cameron-Steinke
    http://arxiv.org/abs/1909.07512v1

    • [cs.CL]Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering
    Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Hong Wang, Shiyu Chang, Murray Campbell, William Yang Wang
    http://arxiv.org/abs/1909.07597v1

    • [cs.CL]SocialNLP EmotionX 2019 Challenge Overview: Predicting Emotions in Spoken Dialogues and Chats
    Boaz Shmueli, Lun-Wei Ku
    http://arxiv.org/abs/1909.07734v1

    • [cs.CL]Span-based Joint Entity and Relation Extraction with Transformer Pre-training
    Markus Eberts, Adrian Ulges
    http://arxiv.org/abs/1909.07755v1

    • [cs.CR]KRNC: New Foundations for Permissionless Byzantine Consensus and Global Monetary Stability
    Clinton Ehrlich, Anna Guzova
    http://arxiv.org/abs/1909.07433v1

    • [cs.CR]Network entity characterization and attack prediction
    Vaclav Bartos, Martin Zadnik, Sheikh Mahbub Habib, Emmanouil Vasilomanolakis
    http://arxiv.org/abs/1909.07694v1

    • [cs.CR]Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks
    Lixin Fan, Kam Woh Ng, Chee Seng Chan
    http://arxiv.org/abs/1909.07830v1

    • [cs.CR]Towards Efficient and Secure Delivery of Data for Deep Learning with Privacy-Preserving
    Juncheng Shen, Juzheng Liu, Yiran Chen, Hai Li
    http://arxiv.org/abs/1909.07632v1

    • [cs.CR]Truthful and Faithful Monetary Policy for a Stablecoin Conducted by a Decentralised, Encrypted Artificial Intelligence
    David Cerezo Sánchez
    http://arxiv.org/abs/1909.07445v1

    • [cs.CR]Walling up Backdoors in Intrusion Detection Systems
    Maximilian Bachl, Alexander Hartl, Joachim Fabini, Tanja Zseby
    http://arxiv.org/abs/1909.07866v1

    • [cs.CV]A machine vision meta-algorithm for automated recognition of underwater objects using sidescan sonar imagery
    Guillaume Labbe-Morissette, Sylvain Gauthier
    http://arxiv.org/abs/1909.07763v1

    • [cs.CV]**A3D Dataset: Towards Autonomous Driving in Challenging Environments
    Quang-Hieu Pham, Pierre Sevestre, Ramanpreet Singh Pahwa, Huijing Zhan, Chun Ho Pang, Yuda Chen, Armin Mustafa, Vijay Chandrasekhar, Jie Lin
    http://arxiv.org/abs/1909.07541v1

    • [cs.CV]AdaptIS: Adaptive Instance Selection Network
    Konstantin Sofiiuk, Olga Barinova, Anton Konushin
    http://arxiv.org/abs/1909.07829v1

    • [cs.CV]Alleviating Feature Confusion for Generative Zero-shot Learning
    Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang
    http://arxiv.org/abs/1909.07615v1

    • [cs.CV]An Image Based Visual Servo Approach with Deep Learning for Robotic Manipulation
    Jingshu Liu, Yuan Li
    http://arxiv.org/abs/1909.07727v1

    • [cs.CV]An Internal Learning Approach to Video Inpainting
    Haotian Zhang, Long Mai, Ning Xu, Zhaowen Wang, John Collomosse, Hailin Jin
    http://arxiv.org/abs/1909.07957v1

    • [cs.CV]Building Change Detection for Remote Sensing Images Using a Dual Task Constrained Deep Siamese Convolutional Network Model
    Yi Liu, Chao Pang, Zongqian Zhan, Xiaomeng Zhang, Xue Yang
    http://arxiv.org/abs/1909.07726v1

    • [cs.CV]Chinese Street View Text: Large-scale Chinese Text Reading with Partially Supervised Learning
    Yipeng Sun, Jiaming Liu, Wei Liu, Junyu Han, Errui Ding, Jingtuo Liu
    http://arxiv.org/abs/1909.07808v1

    • [cs.CV]Constructing Dynamic Knowledge Graph for Visual Semantic Understanding and Applications in Autonomous Robotics
    Chen Jiang, Steven Lu, Martin Jagersand
    http://arxiv.org/abs/1909.07459v1

    • [cs.CV]Cycle-consistent Conditional Adversarial Transfer Networks
    Jingjing Li, Erpeng Chen, Zhengming Ding, Lei Zhu, Ke Lu, Zi Huang
    http://arxiv.org/abs/1909.07618v1

    • [cs.CV]DS-PASS: Detail-Sensitive Panoramic Annular Semantic Segmentation through SwaftNet for Surrounding Sensing
    Kailun Yang, Xinxin Hu, Hao Chen, Kaite Xiang, Kaiwei Wang, Rainer Stiefelhagen
    http://arxiv.org/abs/1909.07721v1

    • [cs.CV]Data-Efficient Classification of Birdcall Through Convolutional Neural Networks Transfer Learning
    Dina B. Efremova, Mangalam Sankupellay, Dmitry A. Konovalov
    http://arxiv.org/abs/1909.07526v1

    • [cs.CV]Deep End-to-End Alignment and Refinement for Time-of-Flight RGB-D Module
    Di Qiu, Jiahao Pang, Wenxiu Sun, Chengxi Yang
    http://arxiv.org/abs/1909.07623v1

    • [cs.CV]Deep Point-wise Prediction for Action Temporal Proposal
    Luxuan Li, Tao Kong, Fuchun Sun, Huaping Liu
    http://arxiv.org/abs/1909.07725v1

    • [cs.CV]HAD-GAN: A Human-perception Auxiliary Defense GAN model to Defend Adversarial Examples
    Wanting Yu, Hongyi Yu, Lingyun Jiang, Mengli Zhang, Kai Qiao, Linyuan Wang, Bin Yan
    http://arxiv.org/abs/1909.07558v1

    • [cs.CV]ICDAR 2019 Competition on Large-scale Street View Text with Partial Labeling — RRC-LSVT
    Yipeng Sun, Zihan Ni, Chee-Kheng Chng, Yuliang Liu, Canjie Luo, Chun Chet Ng, Junyu Han, Errui Ding, Jingtuo Liu, Dimosthenis Karatzas, Chee Seng Chan, Lianwen Jin
    http://arxiv.org/abs/1909.07741v1

    • [cs.CV]Improving the Learning of Multi-column Convolutional Neural Network for Crowd Counting
    Zhi-Qi Cheng, Jun-Xiu Li, Qi Dai, Xiao Wu, Jun-Yan He, Alexander Hauptmann
    http://arxiv.org/abs/1909.07608v1

    • [cs.CV]Inverse Visual Question Answering with Multi-Level Attentions
    Yaser Alwatter, Yuhong Guo
    http://arxiv.org/abs/1909.07583v1

    • [cs.CV]Learn to Segment Organs with a Few Bounding Boxes
    Abhijeet Parida, Arianne Tran, Nassir Navab, Shadi Albarqouni
    http://arxiv.org/abs/1909.07809v1

    • [cs.CV]Learning Deformable Point Set Registration with Regularized Dynamic Graph CNNs for Large Lung Motion in COPD Patients
    Lasse Hansen, Doris Dittmer, Mattias P. Heinrich
    http://arxiv.org/abs/1909.07818v1

    • [cs.CV]Learning Geo-Temporal Image Features
    Menghua Zhai, Tawfiq Salem, Connor Greenwell, Scott Workman, Robert Pless, Nathan Jacobs
    http://arxiv.org/abs/1909.07499v1

    • [cs.CV]Learning to Find Hydrological Corrections
    Lars Arge, Allan Grønlund, Svend Christian Svendsen, Jonas Tranberg
    http://arxiv.org/abs/1909.07685v1

    • [cs.CV]Multi-mapping Image-to-Image Translation via Learning Disentanglement
    Xiaoming Yu, Yuanqi Chen, Thomas Li, Shan Liu, Ge Li
    http://arxiv.org/abs/1909.07877v1

    • [cs.CV]Multimodal Deep Models for Predicting Affective Responses Evoked by Movies
    Ha Thi Phuong Thao, Dorien Herremans, Gemma Roig
    http://arxiv.org/abs/1909.06957v2

    • [cs.CV]Multimodal Multitask Representation Learning for Pathology Biobank Metadata Prediction
    Wei-Hung Weng, Yuannan Cai, Angela Lin, Fraser Tan, Po-Hsuan Cameron Chen
    http://arxiv.org/abs/1909.07846v1

    • [cs.CV]Object-Centric Stereo Matching for 3D Object Detection
    Alex D. Pon, Jason Ku, Chengyao Li, Steven L. Waslander
    http://arxiv.org/abs/1909.07566v1

    • [cs.CV]Progressive Fusion for Unsupervised Binocular Depth Estimation using Cycled Networks
    Andrea Pilzer, Stéphane Lathuilière, Dan Xu, Mihai Marian Puscas, Elisa Ricci, Nicu Sebe
    http://arxiv.org/abs/1909.07667v1

    • [cs.CV]ProtoGAN: Towards Few Shot Learning for Action Recognition
    Sai Kumar Dwivedi, Vikram Gupta, Rahul Mitra, Shuaib Ahmed, Arjun Jain
    http://arxiv.org/abs/1909.07945v1

    • [cs.CV]Reproducibility of an airway tapering measurement in CT with application to bronchiectasis
    Kin Quan, Ryutaro Tanno, Rebecca J. Shipley, Jeremy S. Brown, Joseph Jacob, John R. Hurst, David J. Hawkes
    http://arxiv.org/abs/1909.07454v1

    • [cs.CV]STELA: A Real-Time Scene Text Detector with Learned Anchor
    Linjie Deng, Yanxiang Gong, Xinchen Lu, Zheng Ma, Mei Xie
    http://arxiv.org/abs/1909.07549v1

    • [cs.CV]Scene Compliant Trajectory Forecast with Agent-Centric Spatio-Temporal Grids
    Daniela Ridel, Nachiket Deo, Denis Wolf, Mohan Trivedi
    http://arxiv.org/abs/1909.07507v1

    • [cs.CV]Spatio-Semantic ConvNet-Based Visual Place Recognition
    Luis G. Camara, Libor Přeučil
    http://arxiv.org/abs/1909.07671v1

    • [cs.CV]Task-Aware Monocular Depth Estimation for 3D Object Detection
    Xinlong Wang, Wei Yin, Tao Kong, Yuning Jiang, Lei Li, Chunhua Shen
    http://arxiv.org/abs/1909.07701v1

    • [cs.CV]TextSR: Content-Aware Text Super-Resolution Guided by Recognition
    Wenjia Wang, Enze Xie, Peize Sun, Wenhai Wang, Lixun Tian, Chunhua Shen, Ping Luo
    http://arxiv.org/abs/1909.07113v2

    • [cs.CV]Thanks for Nothing: Predicting Zero-Valued Activations with Lightweight Convolutional Neural Networks
    Gil Shomron, Ron Banner, Moran Shkolnik, Uri Weiser
    http://arxiv.org/abs/1909.07636v1

    • [cs.CV]Weak Edge Identification Nets for Ocean Front Detection
    Qingyang Li, Guoqiang Zhong, Cui Xie
    http://arxiv.org/abs/1909.07827v1

    • [cs.CV]re-OBJ: Jointly Learning the Foreground and Background for Object Instance Re-identification
    Vaibhav Bansal, Stuart James, Alessio Del Bue
    http://arxiv.org/abs/1909.07704v1

    • [cs.CY]A Forensic Qualitative Analysis of Contributions to Wikipedia from Anonymity Seeking Users
    Kaylea Champion, Nora McDonald, Stephanie Bankes, Joseph Zhang, Rachel Greenstadt, Andrea Forte, Benjamin Mako Hill
    http://arxiv.org/abs/1909.07929v1

    • [cs.CY]A prototype for a serious digital game to teach linguistic ontologies
    Diana Medina, Grissa Maturana, Fernán Villa
    http://arxiv.org/abs/1909.07371v1

    • [cs.CY]Discovering Differential Features: Adversarial Learning for Information Credibility Evaluation
    Lianwei Wu, Yuan Rao, Ambreen Nazir, Haolin Jin
    http://arxiv.org/abs/1909.07523v1

    • [cs.CY]Estimating Glycemic Impact of Cooking Recipes via Online Crowdsourcing and Machine Learning
    Helena Lee, Palakorn Achananuparp, Yue Liu, Ee-Peng Lim, Lav R. Varshney
    http://arxiv.org/abs/1909.07881v1

    • [cs.CY]Machine learning in healthcare — a system’s perspective
    Awais Ashfaq, Slawomir Nowaczyk
    http://arxiv.org/abs/1909.07370v1

    • [cs.CY]Modeling Traffic Congestion with Spatiotemporal Big Data for An Intelligent Freeway Monitoring System
    Karisma Trinanda Putra, Jing-Doo Wang, Eko Prasetyo, Prayitno
    http://arxiv.org/abs/1909.07372v1

    • [cs.DC]Alpaca: Intermittent Execution without Checkpoints
    Kiwan Maeng, Alexei Colin, Brandon Lucia
    http://arxiv.org/abs/1909.06951v1

    • [cs.DC]An Efficient Mechanism for Computation Offloading in Mobile-Edge Computing
    Mahla Rahati-Quchani, Saeid Abrishami, Mehdi Feizi
    http://arxiv.org/abs/1909.06849v1

    • [cs.DC]Certifying Blockchain Byzantine Fault Tolerance
    Pierre Tholoniat, Vincent Gramoli
    http://arxiv.org/abs/1909.07453v1

    • [cs.DC]DeepDriveMD: Deep-Learning Driven Adaptive Molecular Simulations for Protein Folding
    Hyungro Lee, Heng Ma, Matteo Turilli, Debsindhu Bhowmik, Shantenu Jha, Arvind Ramanathan
    http://arxiv.org/abs/1909.07817v1

    • [cs.DC]HERALD: Optimizing Heterogeneous DNN Accelerators for Edge Devices
    Hyoukjun Kwon, Liangzhen Lai, Tushar Krishna, Vikas Chandra
    http://arxiv.org/abs/1909.07437v1

    • [cs.DC]Mitigating Network Noise on Dragonfly Networks through Application-Aware Routing
    Daniele De Sensi, Salvatore Di Girolamo, Torsten Hoefler
    http://arxiv.org/abs/1909.07865v1

    • [cs.DC]Network-Aware Container Scheduling in Multi-Tenant Data Center
    Leonardo R. Rodrigues, Marcelo Pasin, Omir C. Alves Jr., Charles C. Miers, Mauricio A. Pillon, Pascal Felber, Guilherme P. Koslovski
    http://arxiv.org/abs/1909.07673v1

    • [cs.DS]Communication-Efficient Weighted Sampling and Quantile Summary for GBDT
    Ziyue Huang, Ke Yi
    http://arxiv.org/abs/1909.07633v1

    • [cs.DS]Object Reachability via Swaps under Strict and Weak Preferences
    Sen Huang, Mingyu Xiao
    http://arxiv.org/abs/1909.07557v1

    • [cs.DS]Regular Partitions and Their Use in Structural Pattern Recognition
    Marco Fiorucci
    http://arxiv.org/abs/1909.07420v1

    • [cs.ET]High-Throughput In-Memory Computing for Binary Deep Neural Networks with Monolithically Integrated RRAM and 90nm CMOS
    Shihui Yin, Xiaoyu Sun, Shimeng Yu, Jae-sun Seo
    http://arxiv.org/abs/1909.07514v1

    • [cs.HC]Automatic Detection and Classification of Cognitive Distortions in Mental Health Text
    Benjamin Shickel, Scott Siegel, Martin Heesacker, Sherry Benton, Parisa Rashidi
    http://arxiv.org/abs/1909.07502v1

    • [cs.IR]Characterizing and Predicting Repeat Food Consumption Behavior for Just-in-Time Interventions
    Yue Liu, Helena Lee, Palakorn Achananuparp, Ee-Peng Lim, Tzu-Ling Cheng, Shou-De Lin
    http://arxiv.org/abs/1909.07683v1

    • [cs.IR]Document classification methods
    Madjid Khalilian, Shiva Hassanzadeh
    http://arxiv.org/abs/1909.07368v1

    • [cs.IR]Fast Search with Poor OCR
    Taivanbat Badamdorj, Adiel Ben-Shalom, Nachum Dershowitz, Lior Wolf
    http://arxiv.org/abs/1909.07899v1

    • [cs.IR]Variational Bayesian Context-aware Representation for Grocery Recommendation
    Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis
    http://arxiv.org/abs/1909.07705v1

    • [cs.IT]Analog Subspace Coding: A New Approach to Coding for Non-Coherent Wireless Networks
    Mahdi Soleymani, Hessam Mahdavifar
    http://arxiv.org/abs/1909.07533v1

    • [cs.IT]Deep Learning based Precoding for the MIMO Gaussian Wiretap Channel
    Xinliang Zhang, Mojtaba Vaezi
    http://arxiv.org/abs/1909.07963v1

    • [cs.IT]Efficient, Fair and QoS-Aware Policies for Wirelessly Powered Communication Networks
    Roohollah Rezaei, Naeimeh Omidvar, Mohammad Movahednasab, Mohammad Reza Pakravan, Sumei Sun, Yong Liang Guan
    http://arxiv.org/abs/1909.07700v1

    • [cs.IT]Ergodic Spectral Efficiency of Massive MIMO with Correlated Rician Channel and MRC Detection based on LS and MMSE Channel Estimation
    Mohammad Hadi Sadraei, Mohammad Sadegh Fazel, Ali-Mohammad Doost-Hoseini
    http://arxiv.org/abs/1909.07635v1

    • [cs.IT]LDPC Codes Achieve List Decoding Capacity
    Jonathan Mosheiff, Nicolas Resch, Noga Ron-Zewi, Shashwat Silas, Mary Wootters
    http://arxiv.org/abs/1909.06430v1

    • [cs.IT]Learning to Search for MIMO Detection
    Jianyong Sun, Yiqing Zhang, Jiang Xue
    http://arxiv.org/abs/1909.07858v1

    • [cs.IT]Local Decode and Update for Big Data Compression
    Shashank Vatedka, Aslan Tchamkerten
    http://arxiv.org/abs/1909.06444v1

    • [cs.IT]On Decoding Cohen-Haeupler-Schulman Tree Codes
    Anand Kumar Narayanan, Matthew Weidner
    http://arxiv.org/abs/1909.07413v1

    • [cs.IT]On the Optimality of the Greedy Policy for Battery Limited Energy Harvesting Communications
    Ye Wang, Ali Zibaeenejad, Yaohui Jing, Jun Chen
    http://arxiv.org/abs/1909.07895v1

    • [cs.LG]!MDP Playground: Meta-Features in Reinforcement Learning
    Raghu Rajan, Frank Hutter
    http://arxiv.org/abs/1909.07750v1

    • [cs.LG]A Characteristic Function Approach to Deep Implicit Generative Modeling
    Abdul Fatir Ansari, Jonathan Scarlett, Harold Soh
    http://arxiv.org/abs/1909.07425v1

    • [cs.LG]A Hybrid Deep Learning Approach for Diagnosis of the Erythemato-Squamous Disease
    Sayan Putatunda
    http://arxiv.org/abs/1909.07587v1

    • [cs.LG]A Linearly Constrained Nonparametric Framework for Imitation Learning
    Yanlong Huang, Darwin G. Caldwell
    http://arxiv.org/abs/1909.07374v1

    • [cs.LG]A Review of Tracking, Prediction and Decision Making Methods for Autonomous Driving
    Florin Leon, Marius Gavrilescu
    http://arxiv.org/abs/1909.07707v1

    • [cs.LG]Algorithm for Training Neural Networks on Resistive Device Arrays
    Tayfun Gokmen, Wilfried Haensch
    http://arxiv.org/abs/1909.07908v1

    • [cs.LG]Attraction-Repulsion Actor-Critic for Continuous Control Reinforcement Learning
    Thang Doan, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R Devon Hjelm
    http://arxiv.org/abs/1909.07543v1

    • [cs.LG]BAFFLE : Blockchain based Aggregator Free Federated Learning
    Paritosh Ramanan, Kiyoshi Nakayama, Ratnesh Sharma
    http://arxiv.org/abs/1909.07452v1

    • [cs.LG]Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients
    Jun Sun, Tianyi Chen, Georgios B. Giannakis, Zaiyue Yang
    http://arxiv.org/abs/1909.07588v1

    • [cs.LG]Conformal Prediction based Spectral Clustering
    Lalith Srikanth Chintalapati, Raghunatha Sarma Rachakonda
    http://arxiv.org/abs/1909.07594v1

    • [cs.LG]Deep Neural Networks for Choice Analysis: Architectural Design with Alternative-Specific Utility Functions
    Shenhao Wang, Jinhua Zhao
    http://arxiv.org/abs/1909.07481v1

    • [cs.LG]Distributed Function Minimization in Apache Spark
    Andrea Schioppa
    http://arxiv.org/abs/1909.07922v1

    • [cs.LG]Dynamic survival prediction in intensive care units from heterogeneous time series without the need for variable selection or pre-processing
    Jacob Deasy, Pietro Liò, Ari Ercole
    http://arxiv.org/abs/1909.07214v2

    • [cs.LG]Emergent Tool Use From Multi-Agent Autocurricula
    Bowen Baker, Ingmar Kanitscheider, Todor Markov, Yi Wu, Glenn Powell, Bob McGrew, Igor Mordatch
    http://arxiv.org/abs/1909.07528v1

    • [cs.LG]Generating Black-Box Adversarial Examples for Text Classifiers Using a Deep Reinforced Model
    Prashanth Vijayaraghavan, Deb Roy
    http://arxiv.org/abs/1909.07873v1

    • [cs.LG]Global Optimal Path-Based Clustering Algorithm
    Qidong Liu, Ruisheng Zhang
    http://arxiv.org/abs/1909.07774v1

    • [cs.LG]Hierarchical Reinforcement Learning for Open-Domain Dialog
    Abdelrhman Saleh, Natasha Jaques, Asma Ghandeharioun, Judy Hanwen Shen, Rosalind Picard
    http://arxiv.org/abs/1909.07547v1

    • [cs.LG]K-TanH: Hardware Efficient Activations For Deep Learning
    Abhisek Kundu, Sudarshan Srinivasan, Eric C. Qin, Dhiraj Kalamkar, Naveen K. Mellempudi, Dipankar Das, Kunal Banerjee, Bharat Kaul, Pradeep Dubey
    http://arxiv.org/abs/1909.07729v1

    • [cs.LG]Learning Index Selection with Structured Action Spaces
    Jeremy Welborn, Michael Schaarschmidt, Eiko Yoneki
    http://arxiv.org/abs/1909.07440v1

    • [cs.LG]Ludwig: a type-based declarative deep learning toolbox
    Piero Molino, Yaroslav Dudin, Sai Sumanth Miryala
    http://arxiv.org/abs/1909.07930v1

    • [cs.LG]MetalGAN: a Cluster-based Adaptive Training for Few-Shot Adversarial Colorization
    Tomaso Fontanini, Eleonora Iotti, Andrea Prati
    http://arxiv.org/abs/1909.07654v1

    • [cs.LG]Multi Sense Embeddings from Topic Models
    Shobhit Jain, Sravan Babu Bodapati, Ramesh Nallapati, Anima Anandkumar
    http://arxiv.org/abs/1909.07746v1

    • [cs.LG]Multi-Task Learning for Automotive Foggy Scene Understanding via Domain Adaptation to an Illumination-Invariant Representation
    Naif Alshammari, Samet Akçay, Toby P. Breckon
    http://arxiv.org/abs/1909.07697v1

    • [cs.LG]Policy Prediction Network: Model-Free Behavior Policy with Model-Based Learning in Continuous Action Space
    Zac Wellmer, James Kwok
    http://arxiv.org/abs/1909.07373v1

    • [cs.LG]Refined $α$-Divergence Variational Inference via Rejection Sampling
    Rahul Sharma, Abhishek Kumar, Piyush Rai
    http://arxiv.org/abs/1909.07627v1

    • [cs.LG]They Might NOT Be Giants: Crafting Black-Box Adversarial Examples with Fewer Queries Using Particle Swarm Optimization
    Rayan Mosli, Matthew Wright, Bo Yuan, Yin Pan
    http://arxiv.org/abs/1909.07490v1

    • [cs.LG]Towards a Rigorous Evaluation of XAI Methods on Time Series
    Udo Schlegel, Hiba Arnout, Mennatallah El-Assady, Daniela Oelke, Daniel A. Keim
    http://arxiv.org/abs/1909.07082v2

    • [cs.LG]Visualizing How Embeddings Generalize
    Xiaotong Liu, Hong Xuan, Zeyu Zhang, Abby Stylianou, Robert Pless
    http://arxiv.org/abs/1909.07464v1

    • [cs.LG]Visualizing Movement Control Optimization Landscapes
    Perttu Hämäläinen, Juuso Toikka, Karen Liu
    http://arxiv.org/abs/1909.07869v1

    • [cs.LG]Weighted Sampling for Combined Model Selection and Hyperparameter Tuning
    Dimitrios Sarigiannis, Thomas Parnell, Haris Pozidis
    http://arxiv.org/abs/1909.07140v2

    • [cs.LG]Where are the Keys? — Learning Object-Centric Navigation Policies on Semantic Maps with Graph Convolutional Networks
    Niko Sünderhauf
    http://arxiv.org/abs/1909.07376v1

    • [cs.LG]sktime: A Unified Interface for Machine Learning with Time Series
    Markus Löning, Anthony Bagnall, Sajaysurya Ganesh, Viktor Kazakov, Jason Lines, Franz J. Király
    http://arxiv.org/abs/1909.07872v1

    • [cs.LO]Controlling a Random Population is EXPTIME-hard
    Corto Mascle, Mahsa Shirmohammadi, Patrick Totzke
    http://arxiv.org/abs/1909.06420v1

    • [cs.LO]Proceedings 35th International Conference on Logic Programming (Technical Communications)
    Bart Bogaerts, Esra Erdem, Paul Fodor, Andrea Formisano, Giovambattista Ianni, Daniela Inclezan, German Vidal, Alicia Villanueva, Marina De Vos, Fangkai Yang
    http://arxiv.org/abs/1909.07646v1

    • [cs.MA]TruPercept: Trust Modelling for Autonomous Vehicle Cooperative Perception from Synthetic Data
    Braden Hurl, Robin Cohen, Krzysztof Czarnecki, Steven Waslander
    http://arxiv.org/abs/1909.07867v1

    • [cs.NE]Reservoirs learn to learn
    Anand Subramoney, Franz Scherr, Wolfgang Maass
    http://arxiv.org/abs/1909.07486v1

    • [cs.RO]Adversarial Feature Training for Generalizable Robotic Visuomotor Control
    Xi Chen, Ali Ghadirzadeh, Mårten Björkman, Patric Jensfelt
    http://arxiv.org/abs/1909.07745v1

    • [cs.RO]Biped Stabilization by Linear Feedback of the Variable-Height Inverted Pendulum Model
    Stéphane Caron
    http://arxiv.org/abs/1909.07732v1

    • [cs.RO]Champion Team Paper: Dynamic Passing-Shooting Algorithm Based on CUDA of The RoboCup SSL 2019 Champion
    Zexi Chen, Haodong Zhang, Dashun Guo, Shenhan Jia, Xianze Fang, Zheyuan Huang, Yunkai Wang, Peng Hu, Licheng Wen, Lingyun Chen, Zhengxi Li, Rong Xiong
    http://arxiv.org/abs/1909.07717v1

    • [cs.RO]Configuration-Space Flipper Planning on 3D Terrain
    Yijun Yuan, Qingwen Xu, Sören Schwertfeger
    http://arxiv.org/abs/1909.07612v1

    • [cs.RO]Deep Robotic Prediction with hierarchical RGB-D Fusion
    Yaoxian Song, Jun Wen, Yuejiao Fei, Changbin Yu
    http://arxiv.org/abs/1909.06585v2

    • [cs.RO]Design of the Anatomically Correct, Biomechatronic Hand
    Benedek Jozsef Tasi, Miklos Koller, Gyorgy Cserey
    http://arxiv.org/abs/1909.07966v1

    • [cs.RO]Improving Human Performance Using Mixed Granularity of Control in Multi-Human Multi-Robot Interaction
    Jayam Patel, Carlo Pinciroli
    http://arxiv.org/abs/1909.07487v1

    • [cs.RO]Inferring and Learning Multi-Robot Policies by Observing an Expert
    Pietro Pierpaoli, Harish Ravichandar, Nicholas Waytowich, Anqi Li, Derrik Asher, Magnus Egerstedt
    http://arxiv.org/abs/1909.07887v1

    • [cs.RO]Is That a Chair? Imagining Affordances Using Simulations of an Articulated Human Body
    Hongtao Wu, Deven Misra, Gregory S. Chirikjian
    http://arxiv.org/abs/1909.07572v1

    • [cs.RO]Learning to Manipulate Object Collections Using Grounded State Representations
    Matthew Wilson, Tucker Hermans
    http://arxiv.org/abs/1909.07876v1

    • [cs.RO]Multi-robot persistent surveillance with connectivity constraints
    Jürgen Scherer, Bernhard Rinner
    http://arxiv.org/abs/1909.07703v1

    • [cs.RO]Multimodal Dataset of Human-Robot Hugging Interaction
    Kunal Bagewadi, Joseph Campbell, Heni Ben Amor
    http://arxiv.org/abs/1909.07471v1

    • [cs.RO]Real-Time Variational Fisheye Stereo without Rectification and Undistortion
    Menandro Roxas, Takeshi Oishi
    http://arxiv.org/abs/1909.07545v1

    • [cs.RO]Synchronous Maneuver Searching and Trajectory Planning for Autonomous Vehicles in Dynamic Traffic Environments
    Lilin Qian, Xin Xu, Yujun Zeng, Xiaohui Li, Zhenping Sun, Hang Song
    http://arxiv.org/abs/1909.07678v1

    • [cs.RO]What Are You Looking at? Detecting Human Intention in Gaze based Human-Robot Interaction
    Lei Shi, Cosmin Copot, Steve Vanlanduit
    http://arxiv.org/abs/1909.07953v1

    • [cs.SI]ASSED — A Framework for Identifying Physical Events through Adaptive Social Sensor Data Filtering
    Abhijit Suprem, Calton Pu
    http://arxiv.org/abs/1909.07596v1

    • [econ.EM]Distributional conformal prediction
    Victor Chernozhukov, Kaspar Wüthrich, Yinchu Zhu
    http://arxiv.org/abs/1909.07889v1

    • [eess.AS]Voice Conversion Using Cycle-Consistent Variational Autoencoder
    Keonnyeong Lee, In-Chul Yoo, Dongsuk Yook
    http://arxiv.org/abs/1909.06805v2

    • [eess.IV]A Convergence Proof of Projected Fast Iterative Soft-thresholding Algorithm for Parallel Magnetic Resonance Imaging
    Xinlin Zhang, Hengfa Lu, Di Guo, Lijun Bao, Feng Huang, Xiaobo Qu
    http://arxiv.org/abs/1909.07600v1

    • [eess.IV]Efficient 3D Fully Convolutional Networks for Pulmonary Lobe Segmentation in CT Images
    Hoileong Lee, Tahreema Matin, Fergus Gleeson, Vicente Grau
    http://arxiv.org/abs/1909.07474v1

    • [eess.IV]Multi-FAN: Multi-Spectral Mosaic Super-Resolution Via Multi-Scale Feature Aggregation Network
    Mehrdad Shoeiby, Sadegh Aliakbarian, Saeed Anwar, Lars Petersson
    http://arxiv.org/abs/1909.07577v1

    • [eess.IV]Radiopathomics: Integration of radiographic and histologic characteristics for prognostication in glioblastoma
    Saima Rathore, Muhammad A. Iftikhar, Metin N. Gurcan, Zissimos Mourelatos
    http://arxiv.org/abs/1909.07581v1

    • [eess.IV]Single-shot 3D shape reconstruction using deep convolutional neural networks
    Hieu Nguyen, Hui Li, Qiang Qiu, Yuzeng Wang, Zhaoyang Wang
    http://arxiv.org/abs/1909.07766v1

    • [eess.IV]Z-Net: an Asymmetric 3D DCNN for Medical CT Volume Segmentation
    Peichao Li, Xiao-Yun Zhou, Zhao-Yang Wang, Guang-Zhong Yang
    http://arxiv.org/abs/1909.07480v1

    • [eess.SP]Coherence Statistics of Structured Random Ensembles and Support Detection Bounds for OMP
    Qiyou Duan, Taejoon Kim, Lin Dai, Erik Perrins
    http://arxiv.org/abs/1909.07616v1

    • [eess.SP]Gated Recurrent Units Learning for Optimal Deployment of Visible Light Communications Enabled UAVs
    Yining Wang, Mingzhe Chen, Zhaohui Yang, Xue Hao, Tao Luo, Walid Saad
    http://arxiv.org/abs/1909.07554v1

    • [eess.SP]Unitary Shift Operators on a Graph
    Bruno Scalzo Dees, Ljubisa Stankovic, Milos Dakovic, Anthony G. Constantinides, Danilo P. Mandic
    http://arxiv.org/abs/1909.05767v3

    • [eess.SY]Experimental Validation of Stable Coordination for Multi-Robot Systems with Limited Fields of View using a PortableMulti-Robot Testbed
    Pratik Mukherjee, Matteo Santilli, Andrea Gasparri, Ryan K Williams
    http://arxiv.org/abs/1909.07476v1

    • [eess.SY]Model-Based Real-Time Motion Tracking using Dynamical Inverse Kinematics
    Lorenzo Rapetti, Yeshasvi Tirupachuri, Kourosh Darvish, Claudia Latella, Daniele Pucci
    http://arxiv.org/abs/1909.07669v1

    • [math.OC]On-line Non-Convex Constrained Optimization
    Olivier Massicot, Jakub Marecek
    http://arxiv.org/abs/1909.07492v1

    • [math.OC]Source Seeking in Unknown Environments with Convex Obstacles
    Bruno A. Angélico, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro, George J. Pappas
    http://arxiv.org/abs/1909.07496v1

    • [math.ST]Estimation of Wasserstein distances in the Spiked Transport Model
    Jonathan Niles-Weed, Philippe Rigollet
    http://arxiv.org/abs/1909.07513v1

    • [math.ST]Minimax Confidence Intervals for the Sliced Wasserstein Distance
    Tudor Manole, Sivaraman Balakrishnan, Larry Wasserman
    http://arxiv.org/abs/1909.07862v1

    • [math.ST]The Mathematics of Benford’s Law — A Primer
    Arno Berger, Theodore P. Hill
    http://arxiv.org/abs/1909.07527v1

    • [math.ST]Two-Sample Test Based on Classification Probability
    Haiyan Cai, Bryan Goggin, Qingtang Jiang
    http://arxiv.org/abs/1909.07836v1

    • [physics.comp-ph]Graph Nets for Partial Charge Prediction
    Yuanqing Wang, Josh Fass, Chaya D. Stern, Kun Luo, John Chodera
    http://arxiv.org/abs/1909.07903v1

    • [physics.comp-ph]Towards Unsupervised Segmentation of Extreme Weather Events
    Adam Rupe, Karthik Kashinath, Nalini Kumar, Victor Lee, Prabhat, James P. Crutchfield
    http://arxiv.org/abs/1909.07520v1

    • [physics.flu-dyn]On the Physical Interpretation of Proper Orthogonal Decomposition and Dynamic Mode Decomposition for Liquid Injection
    Scott B. Leask, Vincent G. McDonell
    http://arxiv.org/abs/1909.07576v1

    • [physics.soc-ph]Social Network Analysis of Corruption Structures: Adjacency Matrices Supporting the Visualization and Quantification of Layeredness
    Carel F. W. Peeters
    http://arxiv.org/abs/1909.07648v1

    • [physics.soc-ph]The Impact of Technologies in Political Campaigns
    Moritz Hoferer, Lucas Böttcher, Hans J. Herrmann, Hans Gersbach
    http://arxiv.org/abs/1909.07644v1

    • [q-bio.MN]Meta-analysis of Gene Expression in Neurodegenerative Diseases Reveals Patterns in GABA Synthesis and Heat Stress Pathways
    Abdulahad Bayraktar, Tugba Onal-Suzek, Baris Ethem Suzek, Omur Baysal
    http://arxiv.org/abs/1909.07469v1

    • [q-bio.PE]Bayesian inference of species trees using diffusion models
    Marnus Stoltz, Boris Bauemer, Remco Bouckaert, Colin Fox, Gordon Hiscott, David Bryant
    http://arxiv.org/abs/1909.07276v2

    • [quant-ph]Quantum algorithm for finding the negative curvature direction in non-convex optimization
    Kaining Zhang, Min-Hsiu Hsieh, Liu Liu, Dacheng Tao
    http://arxiv.org/abs/1909.07622v1

    • [stat.CO]Approximating posteriors with high-dimensional nuisance parameters via integrated rotated Gaussian approximation
    Willem van den Boom, Galen Reeves, David B. Dunson
    http://arxiv.org/abs/1909.06753v1

    • [stat.ME]A goodness-of-fit test for the functional linear model with functional response
    Eduardo García-Portugués, Javier Álvarez-Liébana, Gonzalo Álvarez-Pérez, Wenceslao González-Manteiga
    http://arxiv.org/abs/1909.07686v1

    • [stat.ME]Efficient and Robust Estimation of Linear Regression with Normal Errors
    Alain Desgagné
    http://arxiv.org/abs/1909.07719v1

    • [stat.ME]Improved Semiparametric Analysis of Polygenic Gene-Environment Interactions in Case-Control Studies
    Tianying Wang, Alex Asher
    http://arxiv.org/abs/1909.07501v1

    • [stat.ME]Multiclass classification of growth curves using random change points and heterogeneous random effects
    Vincent Chin, Jarod Y. L. Lee, Louise M. Ryan, Robert Kohn, Scott A. Sisson
    http://arxiv.org/abs/1909.07550v1

    • [stat.ML]BLOCCS: Block Sparse Canonical Correlation Analysis With Application To Interpretable Omics Integration
    Omid Shams Solari, Rojin Safavi, James B. Brown
    http://arxiv.org/abs/1909.07944v1

    • [stat.ML]Compositional uncertainty in deep Gaussian processes
    Ivan Ustyuzhaninov, Ieva Kazlauskaite, Markus Kaiser, Erik Bodin, Neill D. F. Campbell, Carl Henrik Ek
    http://arxiv.org/abs/1909.07698v1

    • [stat.ML]Efficient Transfer Bayesian Optimization with Auxiliary Information
    Tomoharu Iwata, Takuma Otsuka
    http://arxiv.org/abs/1909.07670v1

    • [stat.ML]Prediction of rare feature combinations in population synthesis: Application of deep generative modelling
    Sergio Garrido, Stanislav S. Borysov, Francisco C. Pereira, Jeppe Rich
    http://arxiv.org/abs/1909.07689v1

    • [stat.ML]Ranking metrics on non-shuffled traffic
    Alexandre Gilotte
    http://arxiv.org/abs/1909.07926v1

    • [stat.ML]Sparse Canonical Correlation Analysis via Concave Minimization
    Omid S. Solari, James B. Brown, Peter J. Bickel
    http://arxiv.org/abs/1909.07947v1

    • [stat.ML]Stacking Models for Nearly Optimal Link Prediction in Complex Networks
    Amir Ghasemian, Homa Hosseinmardi, Aram Galstyan, Edoardo M. Airoldi, Aaron Clauset
    http://arxiv.org/abs/1909.07578v1

    • [stat.ML]Variable selection with false discovery rate control in deep neural networks
    Zixuan Song, Jun Li
    http://arxiv.org/abs/1909.07561v1