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