cs.AI - 人工智能
cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.OC - 优化与控制 math.ST - 统计理论 physics.ao-ph - 大气和海洋物理 physics.comp-ph - 计算物理学 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cs.AI]A Temporal Module for Logical Frameworks
• [cs.AI]An ASP-based Approach for Attractor Enumeration in Synchronous and Asynchronous Boolean Networks
• [cs.AI]An Automated Engineering Assistant: Learning Parsers for Technical Drawings
• [cs.AI]Conversational AI : Open Domain Question Answering and Commonsense Reasoning
• [cs.AI]Design of a Solver for Multi-Agent Epistemic Planning
• [cs.AI]Encoding Selection for Solving Hamiltonian Cycle Problems with ASP
• [cs.AI]Exploiting Partial Knowledge in Declarative Domain-Specific Heuristics for ASP
• [cs.AI]Exploring Scholarly Data by Semantic Query on Knowledge Graph Embedding Space
• [cs.AI]Google vs IBM: A Constraint Solving Challenge on the Job-Shop Scheduling Problem
• [cs.AI]Information Extraction Tool Text2ALM: From Narratives to Action Language System Descriptions
• [cs.AI]Knowledge representation and diagnostic inference using Bayesian networks in the medical discourse
• [cs.AI]Mutex Graphs and Multicliques: Reducing Grounding Size for Planning
• [cs.AI]Natural Language Generation for Non-Expert Users
• [cs.AI]Quantified Constraint Handling Rules
• [cs.AI]RUN-CSP: Unsupervised Learning of Message Passing Networks for Binary Constraint Satisfaction Problems
• [cs.AI]Reasoning about Qualitative Direction and Distance between Extended Objects using Answer Set Programming
• [cs.AI]Reasoning in Highly Reactive Environments
• [cs.AI]Towards Ethical Machines Via Logic Programming
• [cs.AI]Value of Information in Probabilistic Logic Programs
• [cs.CL]A Lexical, Syntactic, and Semantic Perspective for Understanding Style in Text
• [cs.CL]Code-Switched Language Models Using Neural Based Synthetic Data from Parallel Sentences
• [cs.CL]DOVER: A Method for Combining Diarization Outputs
• [cs.CL]Do NLP Models Know Numbers? Probing Numeracy in Embeddings
• [cs.CL]Enriching BERT with Knowledge Graph Embeddings for Document Classification
• [cs.CL]Extracting evidence of supplement-drug interactions from literature
• [cs.CL]Extractive Summarization of Long Documents by Combining Global and Local Context
• [cs.CL]Fine-Tuning Language Models from Human Preferences
• [cs.CL]Hierarchical Meta-Embeddings for Code-Switching Named Entity Recognition
• [cs.CL]Improving Natural Language Inference with a Pretrained Parser
• [cs.CL]Megatron-LM: Training Multi-Billion Parameter Language Models Using GPU Model Parallelism
• [cs.CL]Modeling Conversation Structure and Temporal Dynamics for Jointly Predicting Rumor Stance and Veracity
• [cs.CL]Pre-trained Language Model for Biomedical Question Answering
• [cs.CL]Recursive Graphical Neural Networks for Text Classification
• [cs.CL]Revealing the Importance of Semantic Retrieval for Machine Reading at Scale
• [cs.CL]Simple, Scalable Adaptation for Neural Machine Translation
• [cs.CL]Simultaneous Speech Recognition and Speaker Diarization for Monaural Dialogue Recordings with Target-Speaker Acoustic Models
• [cs.CL]SocialNLP EmotionX 2019 Challenge Overview: Predicting Emotions in Spoken Dialogues and Chats
• [cs.CL]Subword ELMo
• [cs.CL]Text Length Adaptation in Sentiment Classification
• [cs.CL]Using BERT for Word Sense Disambiguation
• [cs.CL]Word Recognition, Competition, and Activation in a Model of Visually Grounded Speech
• [cs.CR]Defending against Machine Learning based Inference Attacks via Adversarial Examples: Opportunities and Challenges
• [cs.CV]Adaptive Graphical Model Network for 2D Handpose Estimation
• [cs.CV]An Unpaired Sketch-to-Photo Translation Model
• [cs.CV]CAMAL: Context-Aware Multi-scale Attention framework for Lightweight Visual Place Recognition
• [cs.CV]Continual learning: A comparative study on how to defy forgetting in classification tasks
• [cs.CV]CrackGAN: A Labor-Light Crack Detection Approach Using Industrial Pavement Images Based on Generative Adversarial Learning
• [cs.CV]Diversified Arbitrary Style Transfer via Deep Feature Perturbation
• [cs.CV]Dynamic Graph Attention for Referring Expression Comprehension
• [cs.CV]Ensemble Knowledge Distillation for Learning Improved and Efficient Networks
• [cs.CV]Exploring Reciprocal Attention for Salient Object Detection by Cooperative Learning
• [cs.CV]Extremely Weak Supervised Image-to-Image Translation for Semantic Segmentation
• [cs.CV]Feature Pyramid Encoding Network for Real-time Semantic Segmentation
• [cs.CV]Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks
• [cs.CV]Global Temporal Representation based CNNs for Infrared Action Recognition
• [cs.CV]Graduated Non-Convexity for Robust Spatial Perception: From Non-Minimal Solvers to Global Outlier Rejection
• [cs.CV]IR-NAS: Neural Architecture Search for Image Restoration
• [cs.CV]Identity-Aware Deep Face Hallucination via Adversarial Face Verification
• [cs.CV]Learn to Estimate Labels Uncertainty for Quality Assurance
• [cs.CV]Masked-RPCA: Sparse and Low-rank Decomposition Under Overlaying Model and Application to Moving Object Detection
• [cs.CV]Masking Salient Object Detection, a Mask Region-based Convolutional Neural Network Analysis for Segmentation of Salient Objects
• [cs.CV]Multiple Human Tracking using Multi-Cues including Primitive Action Features
• [cs.CV]NEMO: Future Object Localization Using Noisy Ego Priors
• [cs.CV]Optimizing Through Learned Errors for Accurate Sports Field Registration
• [cs.CV]Pose-aware Multi-level Feature Network for Human Object Interaction Detection
• [cs.CV]Probabilistic Atlases to Enforce Topological Constraints
• [cs.CV]Re-ID Driven Localization Refinement for Person Search
• [cs.CV]SalsaNet: Fast Road and Vehicle Segmentation in LiDAR Point Clouds for Autonomous Driving
• [cs.CV]Sample-specific repetitive learning for photo aesthetic assessment and highlight region extraction
• [cs.CV]Semantically Interpretable Activation Maps: what-where-how explanations within CNNs
• [cs.CV]Simultaneous Segmentation and Recognition: Towards more accurate Ego Gesture Recognition
• [cs.CV]Spherical View Synthesis for Self-Supervised 360 Depth Estimation
• [cs.CV]Towards Shape Biased Unsupervised Representation Learning for Domain Generalization
• [cs.CV]Transferable Feature Representation for Visible-to-Infrared Cross-Dataset Human Action Recognition
• [cs.CV]Unsupervised Writer Adaptation for Synthetic-to-Real Handwritten Word Recognition
• [cs.CV]Visual Tracking by means of Deep Reinforcement Learning and an Expert Demonstrator
• [cs.CY]Don’t cross that stop line: Characterizing Traffic Violations in Metropolitan Cities
• [cs.CY]Performance of Recommender Systems: Based on Content Navigator and Collaborative Filtering
• [cs.DB]Leyenda: An Adaptive, Hybrid Sorting Algorithm for Large Scale Data with Limited Memory
• [cs.DC]Distributed Answer Set Coloring: Stable Models Computation via Graph Coloring
• [cs.DC]Heterogeneity-Aware Asynchronous Decentralized Training
• [cs.DC]Introduction to the Tezos Blockchain
• [cs.DC]Message Reduction in the Local Model is a Free Lunch
• [cs.HC]Multimodal Continuation-style Architectures for Human-Robot Interaction
• [cs.IR]Learning from Bandit Feedback: An Overview of the State-of-the-art
• [cs.IT]A Signal Separation Method for Exceeding the Channel Capacity of BPSK Input
• [cs.IT]A Survey of Rate-optimal Power Domain NOMA Schemes for Enabling Technologies of Future Wireless Networks
• [cs.IT]Achieving Phase Coherency and Gain Stability in Active Antenna Arrays for Sub-6 GHz FDD and TDD FD-MIMO: Challenges and Solutions
• [cs.IT]Construction of sequences with high Nonlinear Complexity from the Hermitian Function Field
• [cs.IT]Learned-SBL: A Deep Learning Architecture for Sparse Signal Recovery
• [cs.IT]Learning to Search for MIMO Detection
• [cs.IT]On a conjecture about a class of permutation quadrinomials
• [cs.IT]On the weights of dual codes arising from the GK curve
• [cs.IT]Optimization of the Belief-Propagation Algorithm for Distributed Detection by Linear Data-Fusion Techniques
• [cs.IT]Parallel Concatenation of Non-Binary Linear Random Fountain Codes with Maximum Distance Separable Codes
• [cs.IT]SINR Analysis of Different Multicarrier Waveforms over Doubly Dispersive Channels
• [cs.IT]Two new classes of entanglement-assisted quantum MDS codes
• [cs.LG]A Distributed Fair Machine Learning Framework with Private Demographic Data Protection
• [cs.LG]A Hierarchical Two-tier Approach to Hyper-parameter Optimization in Reinforcement Learning
• [cs.LG]Advancing subgroup fairness via sleeping experts
• [cs.LG]Adversarial Attacks and Defenses in Images, Graphs and Text: A Review
• [cs.LG]Bias In, Bias Out? Evaluating the Folk Wisdom
• [cs.LG]Data Mapping for Restricted Boltzmann Machine
• [cs.LG]Decision-Directed Data Decomposition
• [cs.LG]Deep Model Reference Adaptive Control
• [cs.LG]Distance Geometry and Data Science
• [cs.LG]Distributed Machine Learning on Mobile Devices: A Survey
• [cs.LG]Dual Adversarial Co-Learning for Multi-Domain Text Classification
• [cs.LG]Dynamics of Deep Neural Networks and Neural Tangent Hierarchy
• [cs.LG]Exploring Bit-Slice Sparsity in Deep Neural Networks for Efficient ReRAM-Based Deployment
• [cs.LG]Hierarchical Reinforcement Learning for Open-Domain Dialog
• [cs.LG]Laplacian Matrix for Dimensionality Reduction and Clustering
• [cs.LG]Learnability Can Be Independent of ZFC Axioms: Explanations and Implications
• [cs.LG]Learning Discrepancy Models From Experimental Data
• [cs.LG]Learning to Generate Questions with Adaptive Copying Neural Networks
• [cs.LG]Learning to Tune XGBoost with XGBoost
• [cs.LG]Measure Contribution of Participants in Federated Learning
• [cs.LG]Memory-Augmented Neural Networks for Machine Translation
• [cs.LG]No-Regret Learning in Unknown Games with Correlated Payoffs
• [cs.LG]Persistence B-Spline Grids: Stable Vector Representation of Persistence Diagrams Based on Data Fitting
• [cs.LG]PixelHop: A Successive Subspace Learning (SSL) Method for Object Classification
• [cs.LG]Predicting Electricity Consumption using Deep Recurrent Neural Networks
• [cs.LG]Renyi Differentially Private ADMM Based L1 Regularized Classification
• [cs.LG]Sample Efficient Policy Gradient Methods with Recursive Variance Reduction
• [cs.LG]Self-boosted Time-series Forecasting with Multi-task and Multi-view Learning
• [cs.LG]The Explanation Game: Explaining Machine Learning Models with Cooperative Game Theory
• [cs.LG]Transfer Learning with Dynamic Adversarial Adaptation Network
• [cs.LG]Transfer Learning with Dynamic Distribution Adaptation
• [cs.LG]Visualizing Movement Control Optimization Landscapes
• [cs.LG]Weighed Domain-Invariant Representation Learning for Cross-domain Sentiment Analysis
• [cs.LG]k-Relevance Vectors for Pattern Classification
• [cs.LO]A Rule-Based System for Explainable Donor-Patient Matching in Liver Transplantation
• [cs.LO]BigData Applications from Graph Analytics to Machine Learning by Aggregates in Recursion
• [cs.LO]On the Strong Equivalences of LPMLN Programs
• [cs.NE]Bifurcation Spiking Neural Network
• [cs.NE]Generating Local Search Neighborhood with Synthesized Logic Programs
• [cs.NE]Long-Term Progress and Behavior Complexification in Competitive Co-Evolution
• [cs.NE]NatCSNN: A Convolutional Spiking Neural Network for recognition of objects extracted from natural images
• [cs.NE]Research Report on Automatic Synthesis of Local Search Neighborhood Operators
• [cs.NI]A Joint Learning and Communications Framework for Federated Learning over Wireless Networks
• [cs.RO]An NMPC Approach using Convex Inner Approximations for Online Motion Planning with Guaranteed Collision Freedom
• [cs.RO]DeepGait: Planning and Control of Quadrupedal Gaits using Deep Reinforcement Learning
• [cs.RO]Environmental Hotspot Identification in Limited Time with a UAV Equipped with a Downward-Facing Camera
• [cs.RO]First Steps Towards Full Model Based Motion Planning and Control of Quadrupeds: A Hybrid Zero Dynamics Approach
• [cs.RO]From Bipedal Walking to Quadrupedal Locomotion: Full-Body Dynamics Decomposition for Rapid Gait Generation
• [cs.RO]Local Trajectory Stabilization for Dexterous Manipulation via Piecewise Affine Approximations
• [cs.RO]Nailed It: Autonomous Roofing with a Nailgun-Equipped Octocopter
• [cs.RO]Risk Assessment and Planning with Bidirectional Reachability for Autonomous Driving
• [cs.RO]SPARCAS: A Decentralized, Truthful Multi-Agent Collision-free Path Finding Mechanism
• [cs.RO]Segmentation of Robot Movements using Position and Contact Forces
• [cs.RO]Split Deep Q-Learning for Robust Object Singulation
• [cs.RO]Vision-based Multi-MAV Localization with Anonymous Relative Measurements Using Coupled Probabilistic Data Association Filter
• [cs.RO]Visual Measurement Integrity Monitoring for UAV Localization
• [cs.SD]Cutting Music Source Separation Some Slakh: A Dataset to Study the Impact of Training Data Quality and Quantity
• [cs.SE]ModelicaGym: Applying Reinforcement Learning to Modelica Models
• [cs.SI]Catching up with trends: The changing landscape of political discussions on twitter in 2014 and 2019
• [cs.SI]Two Computational Models for Analyzing Political Attention in Social Media
• [eess.AS]Bayesian Strategies for Likelihood Ratio Computation in Forensic Voice Comparison with Automatic Systems
• [eess.IV]A Survey on Rain Removal from Video and Single Image
• [eess.SP]Fiber Nonlinearity Mitigation via the Parzen Window Classifier for Dispersion Managed and Unmanaged Links
• [eess.SP]On reconstruction algorithms for signals sparse in Hermite and Fourier domains
• [math.OC]Diversity-enabled sweet spots in layered architectures and speed-accuracy trade-offs in sensorimotor control
• [math.ST]Inference on the change point with the jump size near the boundary of the region of detectability in high dimensional time series models
• [math.ST]Nonparametric estimation of conditional cure models for heavy-tailed distributions and under insufficient follow-up
• [math.ST]On compatibility/incompatibility of two discrete probability distributions in the presence of incomplete specification
• [math.ST]Rotational Uniqueness Conditions Under Oblique Factor Correlation Metric
• [physics.ao-ph]Statistical and machine learning ensemble modelling to forecast sea surface temperature
• [physics.comp-ph]Deep neural network solution of the electronic Schrödinger equation
• [physics.soc-ph]Beyond polarization: the asymmetry of vaccine controversies in France
• [q-bio.NC]Generation mechanism of cell assembly to store information about hand recognition
• [quant-ph]Quantum process tomography with unknown single-preparation input states
• [stat.AP]Analysis of the hospital records from AOK Plus
• [stat.AP]Estimating maternal mortality using data from national civil registration vital statistics systems: A Bayesian hierarchical bivariate random walk model to estimate sensitivity and specificity of reporting
• [stat.AP]Evaluating Effects of Tuition Fees: Lasso for the Case of Germany
• [stat.AP]Modeling the occurrence of events subject to a reporting delay via an EM algorithm
• [stat.AP]Robust statistical modeling of monthly rainfall: The minimum density power divergence approach
• [stat.AP]The Impact of Operating Environment on Efficiency of Public Libraries
• [stat.ME]Conditional Information and Inference in Response-Adaptive Allocation Designs
• [stat.ME]Interpretable Principal Components Analysis for Multilevel Multivariate Functional Data, with Application to EEG Experiments
• [stat.ME]Regularization in Generalized Semiparametric Mixed-Effects Model for Longitudinal Data
• [stat.ME]Semantic and Cognitive Tools to Aid Statistical Inference: Replace Confidence and Significance by Compatibility and Surprise
• [stat.ME]To Aid Statistical Inference, Emphasize Unconditional Descriptions of Statistics
• [stat.ML]Properties of Laplacian Pyramids for Extension and Denoising
• [stat.ML]Relaxed Softmax for learning from Positive and Unlabeled data
·····································
• [cs.AI]A Temporal Module for Logical Frameworks
Valentina Pitoni, Stefania Costantini
http://arxiv.org/abs/1909.08256v1
• [cs.AI]An ASP-based Approach for Attractor Enumeration in Synchronous and Asynchronous Boolean Networks
Tarek Khaled, Belaïd Benhamou
http://arxiv.org/abs/1909.08251v1
• [cs.AI]An Automated Engineering Assistant: Learning Parsers for Technical Drawings
Dries Van Daele, Nicholas Decleyre, Herman Dubois, Wannes Meert
http://arxiv.org/abs/1909.08552v1
• [cs.AI]Conversational AI : Open Domain Question Answering and Commonsense Reasoning
Kinjal Basu
http://arxiv.org/abs/1909.08258v1
• [cs.AI]Design of a Solver for Multi-Agent Epistemic Planning
Francesco Fabiano
http://arxiv.org/abs/1909.08259v1
• [cs.AI]Encoding Selection for Solving Hamiltonian Cycle Problems with ASP
Liu Liu, Miroslaw Truszczynski
http://arxiv.org/abs/1909.08252v1
• [cs.AI]Exploiting Partial Knowledge in Declarative Domain-Specific Heuristics for ASP
Richard Taupe, Konstantin Schekotihin, Peter Schüller, Antonius Weinzierl, Gerhard Friedrich
http://arxiv.org/abs/1909.08231v1
• [cs.AI]Exploring Scholarly Data by Semantic Query on Knowledge Graph Embedding Space
Hung Nghiep Tran, Atsuhiro Takasu
http://arxiv.org/abs/1909.08191v1
• [cs.AI]Google vs IBM: A Constraint Solving Challenge on the Job-Shop Scheduling Problem
Giacomo Da Col, Erich Teppan
http://arxiv.org/abs/1909.08247v1
• [cs.AI]Information Extraction Tool Text2ALM: From Narratives to Action Language System Descriptions
Craig Olson, Yuliya Lierler
http://arxiv.org/abs/1909.08235v1
• [cs.AI]Knowledge representation and diagnostic inference using Bayesian networks in the medical discourse
Sebastian Flügge, Sandra Zimmer, Uwe Petersohn
http://arxiv.org/abs/1909.08549v1
• [cs.AI]Mutex Graphs and Multicliques: Reducing Grounding Size for Planning
David Spies, Jia-Huai You, Ryan Hayward
http://arxiv.org/abs/1909.08240v1
• [cs.AI]Natural Language Generation for Non-Expert Users
Van Duc Nguyen, Tran Cao Son, Enrico Pontelli
http://arxiv.org/abs/1909.08250v1
• [cs.AI]Quantified Constraint Handling Rules
Vincent Barichard, Igor Stéphan
http://arxiv.org/abs/1909.08243v1
• [cs.AI]RUN-CSP: Unsupervised Learning of Message Passing Networks for Binary Constraint Satisfaction Problems
Jan Toenshoff, Martin Ritzert, Hinrikus Wolf, Martin Grohe
http://arxiv.org/abs/1909.08387v1
• [cs.AI]Reasoning about Qualitative Direction and Distance between Extended Objects using Answer Set Programming
Yusuf Izmirlioglu
http://arxiv.org/abs/1909.08257v1
• [cs.AI]Reasoning in Highly Reactive Environments
Francesco Pacenza
http://arxiv.org/abs/1909.08260v1
• [cs.AI]Towards Ethical Machines Via Logic Programming
Abeer Dyoub, Stefania Costantini, Francesca A. Lisi
http://arxiv.org/abs/1909.08255v1
• [cs.AI]Value of Information in Probabilistic Logic Programs
Sarthak Ghosh, C. R. Ramakrishnan
http://arxiv.org/abs/1909.08234v1
• [cs.CL]A Lexical, Syntactic, and Semantic Perspective for Understanding Style in Text
Gaurav Verma, Balaji Vasan Srinivasan
http://arxiv.org/abs/1909.08349v1
• [cs.CL]Code-Switched Language Models Using Neural Based Synthetic Data from Parallel Sentences
Genta Indra Winata, Andrea Madotto, Chien-Sheng Wu, Pascale Fung
http://arxiv.org/abs/1909.08582v1
• [cs.CL]DOVER: A Method for Combining Diarization Outputs
Andreas Stolcke, Takuya Yoshioka
http://arxiv.org/abs/1909.08090v1
• [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/1909.07940v2
• [cs.CL]Enriching BERT with Knowledge Graph Embeddings for Document Classification
Malte Ostendorff, Peter Bourgonje, Maria Berger, Julian Moreno-Schneider, Georg Rehm, Bela Gipp
http://arxiv.org/abs/1909.08402v1
• [cs.CL]Extracting evidence of supplement-drug interactions from literature
Lucy Lu Wang, Oyvind Tafjord, Sarthak Jain, Arman Cohan, Sam Skjonsberg, Carissa Schoenick, Nick Botner, Waleed Ammar
http://arxiv.org/abs/1909.08135v1
• [cs.CL]Extractive Summarization of Long Documents by Combining Global and Local Context
Wen Xiao, Giuseppe Carenini
http://arxiv.org/abs/1909.08089v1
• [cs.CL]Fine-Tuning Language Models from Human Preferences
Daniel M. Ziegler, Nisan Stiennon, Jeffrey Wu, Tom B. Brown, Alec Radford, Dario Amodei, Paul Christiano, Geoffrey Irving
http://arxiv.org/abs/1909.08593v1
• [cs.CL]Hierarchical Meta-Embeddings for Code-Switching Named Entity Recognition
Genta Indra Winata, Zhaojiang Lin, Jamin Shin, Zihan Liu, Pascale Fung
http://arxiv.org/abs/1909.08504v1
• [cs.CL]Improving Natural Language Inference with a Pretrained Parser
Deric Pang, Lucy H. Lin, Noah A. Smith
http://arxiv.org/abs/1909.08217v1
• [cs.CL]Megatron-LM: Training Multi-Billion Parameter Language Models Using GPU Model Parallelism
Mohammad Shoeybi, Mostofa Patwary, Raul Puri, Patrick LeGresley, Jared Casper, Bryan Catanzaro
http://arxiv.org/abs/1909.08053v1
• [cs.CL]Modeling Conversation Structure and Temporal Dynamics for Jointly Predicting Rumor Stance and Veracity
Penghui Wei, Nan Xu, Wenji Mao
http://arxiv.org/abs/1909.08211v1
• [cs.CL]Pre-trained Language Model for Biomedical Question Answering
Wonjin Yoon, Jinhyuk Lee, Donghyeon Kim, Minbyul Jeong, Jaewoo Kang
http://arxiv.org/abs/1909.08229v1
• [cs.CL]Recursive Graphical Neural Networks for Text Classification
Wei Li, Shuheng Li, Shuming Ma, Yancheng He, Deli Chen, Xu Sun
http://arxiv.org/abs/1909.08166v1
• [cs.CL]Revealing the Importance of Semantic Retrieval for Machine Reading at Scale
Yixin Nie, Songhe Wang, Mohit Bansal
http://arxiv.org/abs/1909.08041v1
• [cs.CL]Simple, Scalable Adaptation for Neural Machine Translation
Ankur Bapna, Naveen Arivazhagan, Orhan Firat
http://arxiv.org/abs/1909.08478v1
• [cs.CL]Simultaneous Speech Recognition and Speaker Diarization for Monaural Dialogue Recordings with Target-Speaker Acoustic Models
Naoyuki Kanda, Shota Horiguchi, Yusuke Fujita, Yawen Xue, Kenji Nagamatsu, Shinji Watanabe
http://arxiv.org/abs/1909.08103v1
• [cs.CL]SocialNLP EmotionX 2019 Challenge Overview: Predicting Emotions in Spoken Dialogues and Chats
Boaz Shmueli, Lun-Wei Ku
http://arxiv.org/abs/1909.07734v2
• [cs.CL]Subword ELMo
Jiangtong Li, Hai Zhao, Zuchao Li, Wei Bi, Xiaojiang Liu
http://arxiv.org/abs/1909.08357v1
• [cs.CL]Text Length Adaptation in Sentiment Classification
Reinald Kim Amplayo, Seonjae Lim, Seung-won Hwang
http://arxiv.org/abs/1909.08306v1
• [cs.CL]Using BERT for Word Sense Disambiguation
Jiaju Du, Fanchao Qi, Maosong Sun
http://arxiv.org/abs/1909.08358v1
• [cs.CL]Word Recognition, Competition, and Activation in a Model of Visually Grounded Speech
William N. Havard, Jean-Pierre Chevrot, Laurent Besacier
http://arxiv.org/abs/1909.08491v1
• [cs.CR]Defending against Machine Learning based Inference Attacks via Adversarial Examples: Opportunities and Challenges
Jinyuan Jia, Neil Zhenqiang Gong
http://arxiv.org/abs/1909.08526v1
• [cs.CV]Adaptive Graphical Model Network for 2D Handpose Estimation
Deying Kong, Yifei Chen, Haoyu Ma, Xiangyi Yan, Xiaohui Xie
http://arxiv.org/abs/1909.08205v1
• [cs.CV]An Unpaired Sketch-to-Photo Translation Model
Runtao Liu, Qian Yu, Stella Yu
http://arxiv.org/abs/1909.08313v1
• [cs.CV]CAMAL: Context-Aware Multi-scale Attention framework for Lightweight Visual Place Recognition
Ahmad Khaliq, Shoaib Ehsan, Michael Milford, Klaus McDonald-Maier
http://arxiv.org/abs/1909.08153v1
• [cs.CV]Continual learning: A comparative study on how to defy forgetting in classification tasks
Matthias De Lange, Rahaf Aljundi, Marc Masana, Sarah Parisot, Xu Jia, Ales Leonardis, Gregory Slabaugh, Tinne Tuytelaars
http://arxiv.org/abs/1909.08383v1
• [cs.CV]CrackGAN: A Labor-Light Crack Detection Approach Using Industrial Pavement Images Based on Generative Adversarial Learning
Kaige Zhang, Yingtao Zhang, Heng-Da Cheng
http://arxiv.org/abs/1909.08216v1
• [cs.CV]Diversified Arbitrary Style Transfer via Deep Feature Perturbation
Zhizhong Wang, Lei Zhao, Lihong Qiu, Haibo Chen, Qihang Mo, Sihuan Lin, Wei Xing, Dongming Lu
http://arxiv.org/abs/1909.08223v1
• [cs.CV]Dynamic Graph Attention for Referring Expression Comprehension
Sibei Yang, Guanbin Li, Yizhou Yu
http://arxiv.org/abs/1909.08164v1
• [cs.CV]Ensemble Knowledge Distillation for Learning Improved and Efficient Networks
Umar Asif, Jianbin Tang, Stefan Harrer
http://arxiv.org/abs/1909.08097v1
• [cs.CV]Exploring Reciprocal Attention for Salient Object Detection by Cooperative Learning
Changqun Xia, Jia Li, Jinming Su, Yonghong Tian
http://arxiv.org/abs/1909.08269v1
• [cs.CV]Extremely Weak Supervised Image-to-Image Translation for Semantic Segmentation
Samarth Shukla, Luc Van Gool, Radu Timofte
http://arxiv.org/abs/1909.08542v1
• [cs.CV]Feature Pyramid Encoding Network for Real-time Semantic Segmentation
Mengyu Liu, Hujun Yin
http://arxiv.org/abs/1909.08599v1
• [cs.CV]Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks
Zhonghui You, Kun Yan, Jinmian Ye, Meng Ma, Ping Wang
http://arxiv.org/abs/1909.08174v1
• [cs.CV]Global Temporal Representation based CNNs for Infrared Action Recognition
Yang Liu, Zhaoyang Lu, Jing Li, Tao Yang, Chao Yao
http://arxiv.org/abs/1909.08287v1
• [cs.CV]Graduated Non-Convexity for Robust Spatial Perception: From Non-Minimal Solvers to Global Outlier Rejection
Heng Yang, Pasquale Antonante, Vasileios Tzoumas, Luca Carlone
http://arxiv.org/abs/1909.08605v1
• [cs.CV]IR-NAS: Neural Architecture Search for Image Restoration
Haokui Zhang, Ying Li, Hao Chen, Chunhua Shen
http://arxiv.org/abs/1909.08228v1
• [cs.CV]Identity-Aware Deep Face Hallucination via Adversarial Face Verification
Hadi Kazemi, Fariborz Taherkhani, Nasser M. Nasrabadi
http://arxiv.org/abs/1909.08130v1
• [cs.CV]Learn to Estimate Labels Uncertainty for Quality Assurance
Agnieszka Tomczack, Nassir Navab, Shadi Albarqouni
http://arxiv.org/abs/1909.08058v1
• [cs.CV]Masked-RPCA: Sparse and Low-rank Decomposition Under Overlaying Model and Application to Moving Object Detection
Amirhossein Khalilian-Gourtani, Shervin Minaee, Yao Wang
http://arxiv.org/abs/1909.08049v1
• [cs.CV]Masking Salient Object Detection, a Mask Region-based Convolutional Neural Network Analysis for Segmentation of Salient Objects
Bruno A. Krinski, Daniel V. Ruiz, Guilherme Z. Machado, Eduardo Todt
http://arxiv.org/abs/1909.08038v1
• [cs.CV]Multiple Human Tracking using Multi-Cues including Primitive Action Features
Hitoshi Nishimura, Kazuyuki Tasaka, Yasutomo Kawanishi, Hiroshi Murase
http://arxiv.org/abs/1909.08171v1
• [cs.CV]NEMO: Future Object Localization Using Noisy Ego Priors
Srikanth Malla, Chiho Choi
http://arxiv.org/abs/1909.08150v1
• [cs.CV]Optimizing Through Learned Errors for Accurate Sports Field Registration
Wei Jiang, Juan Camilo Gamboa Higuera, Baptiste Angles, Weiwei Sun, Mehrsan Javan, Kwang Moo Yi
http://arxiv.org/abs/1909.08034v1
• [cs.CV]Pose-aware Multi-level Feature Network for Human Object Interaction Detection
Bo Wan, Desen Zhou, Yongfei Liu, Rongjie Li, Xuming He
http://arxiv.org/abs/1909.08453v1
• [cs.CV]Probabilistic Atlases to Enforce Topological Constraints
Udaranga Wickramasinghe, Graham Knott, Pascal Fua
http://arxiv.org/abs/1909.08330v1
• [cs.CV]Re-ID Driven Localization Refinement for Person Search
Chuchu Han, Jiacheng Ye, Yunshan Zhong, Xin Tan, Chi Zhang, Changxin Gao, Nong Sang
http://arxiv.org/abs/1909.08580v1
• [cs.CV]SalsaNet: Fast Road and Vehicle Segmentation in LiDAR Point Clouds for Autonomous Driving
Eren Erdal Aksoy, Saimir Baci, Selcuk Cavdar
http://arxiv.org/abs/1909.08291v1
• [cs.CV]Sample-specific repetitive learning for photo aesthetic assessment and highlight region extraction
Ying Dai
http://arxiv.org/abs/1909.08213v1
• [cs.CV]Semantically Interpretable Activation Maps: what-where-how explanations within CNNs
Diego Marcos, Sylvain Lobry, Devis Tuia
http://arxiv.org/abs/1909.08442v1
• [cs.CV]Simultaneous Segmentation and Recognition: Towards more accurate Ego Gesture Recognition
Tejo Chalasani, Aljosa Smolic
http://arxiv.org/abs/1909.08606v1
• [cs.CV]Spherical View Synthesis for Self-Supervised 360 Depth Estimation
Nikolaos Zioulis, Antonis Karakottas, Dimitrios Zarpalas, Federico Alvarez, Petros Daras
http://arxiv.org/abs/1909.08112v1
• [cs.CV]Towards Shape Biased Unsupervised Representation Learning for Domain Generalization
Nader Asadi, Mehrdad Hosseinzadeh, Mahdi Eftekhari
http://arxiv.org/abs/1909.08245v1
• [cs.CV]Transferable Feature Representation for Visible-to-Infrared Cross-Dataset Human Action Recognition
Yang Liu, Zhaoyang Lu, Jing Li, Chao Yao, Yanzi Deng
http://arxiv.org/abs/1909.08297v1
• [cs.CV]Unsupervised Writer Adaptation for Synthetic-to-Real Handwritten Word Recognition
Lei Kang, Marçal Rusiñol, Alicia Fornés, Pau Riba, Mauricio Villegas
http://arxiv.org/abs/1909.08473v1
• [cs.CV]Visual Tracking by means of Deep Reinforcement Learning and an Expert Demonstrator
Matteo Dunnhofer, Niki Martinel, Gian Luca Foresti, Christian Micheloni
http://arxiv.org/abs/1909.08487v1
• [cs.CY]Don’t cross that stop line: Characterizing Traffic Violations in Metropolitan Cities
Shashank Srikanth, Aanshul Sadaria, Himanshu Bhatia, Kanay Gupta, Pratik Jain, Ponnurangam Kumaraguru
http://arxiv.org/abs/1909.08106v1
• [cs.CY]Performance of Recommender Systems: Based on Content Navigator and Collaborative Filtering
Keum Gang Cha, Soo-Ryeon Lee, Jung-Woo Lee, Seung Bin Baik
http://arxiv.org/abs/1909.08219v1
• [cs.DB]Leyenda: An Adaptive, Hybrid Sorting Algorithm for Large Scale Data with Limited Memory
Yuanjing Shi, Zhaoxing Li
http://arxiv.org/abs/1909.08006v1
• [cs.DC]Distributed Answer Set Coloring: Stable Models Computation via Graph Coloring
Marco De Bortoli
http://arxiv.org/abs/1909.08263v1
• [cs.DC]Heterogeneity-Aware Asynchronous Decentralized Training
Qinyi Luo, Jiaao He, Youwei Zhuo, Xuehai Qian
http://arxiv.org/abs/1909.08029v1
• [cs.DC]Introduction to the Tezos Blockchain
Victor Allombert, Mathias Bourgoin, Julien Tesson
http://arxiv.org/abs/1909.08458v1
• [cs.DC]Message Reduction in the Local Model is a Free Lunch
Shimon Bitton, Yuval Emek, Taisuke Izumi, Shay Kutten
http://arxiv.org/abs/1909.08369v1
• [cs.HC]Multimodal Continuation-style Architectures for Human-Robot Interaction
Nikhil Krishnaswamy, James Pustejovsky
http://arxiv.org/abs/1909.08161v1
• [cs.IR]Learning from Bandit Feedback: An Overview of the State-of-the-art
Olivier Jeunen, Dmytro Mykhaylov, David Rohde, Flavian Vasile, Alexandre Gilotte, Martin Bompaire
http://arxiv.org/abs/1909.08471v1
• [cs.IT]A Signal Separation Method for Exceeding the Channel Capacity of BPSK Input
Bingli Jiao, Dongsheng Zheng, Yuli Yang
http://arxiv.org/abs/1909.08220v1
• [cs.IT]A Survey of Rate-optimal Power Domain NOMA Schemes for Enabling Technologies of Future Wireless Networks
Omar Maraqa, Aditya S. Rajasekaran, Saad Al-Ahmadi, Halim Yanikomeroglu, Sadiq M. Sait
http://arxiv.org/abs/1909.08011v1
• [cs.IT]Achieving Phase Coherency and Gain Stability in Active Antenna Arrays for Sub-6 GHz FDD and TDD FD-MIMO: Challenges and Solutions
Reza Monir Vaghefi, Ramesh Chembil Palat, Giovanni Marzin, Kiran Basavaraju, Yiping Feng, Mihai Banu
http://arxiv.org/abs/1909.08003v1
• [cs.IT]Construction of sequences with high Nonlinear Complexity from the Hermitian Function Field
Alonso S. Castellanos, Luciane Quoos, Guilherme Tizziotti
http://arxiv.org/abs/1909.08061v1
• [cs.IT]Learned-SBL: A Deep Learning Architecture for Sparse Signal Recovery
Rubin Jose Peter, Chandra R. Murthy
http://arxiv.org/abs/1909.08185v1
• [cs.IT]Learning to Search for MIMO Detection
Jianyong Sun, Yiqing Zhang, Jiang Xue
http://arxiv.org/abs/1909.07858v2
• [cs.IT]On a conjecture about a class of permutation quadrinomials
Kangquan Li, Longjiang Qu, Chao Li, Hao Chen
http://arxiv.org/abs/1909.08209v1
• [cs.IT]On the weights of dual codes arising from the GK curve
Edoardo Ballico, Matteo Bonini
http://arxiv.org/abs/1909.08126v1
• [cs.IT]Optimization of the Belief-Propagation Algorithm for Distributed Detection by Linear Data-Fusion Techniques
Younes Abdi, Tapani Ristaniemi
http://arxiv.org/abs/1909.08450v1
• [cs.IT]Parallel Concatenation of Non-Binary Linear Random Fountain Codes with Maximum Distance Separable Codes
Francisco Lázaro, Giuliano Garrammone, Gianluigi Liva
http://arxiv.org/abs/1909.08545v1
• [cs.IT]SINR Analysis of Different Multicarrier Waveforms over Doubly Dispersive Channels
Xiaojie Wang, Stephan ten Brink
http://arxiv.org/abs/1909.08278v1
• [cs.IT]Two new classes of entanglement-assisted quantum MDS codes
Renjie Jin, Derong Xie, Jinquan Luo
http://arxiv.org/abs/1909.07234v2
• [cs.LG]A Distributed Fair Machine Learning Framework with Private Demographic Data Protection
Hui Hu, Yijun Liu, Zhen Wang, Chao Lan
http://arxiv.org/abs/1909.08081v1
• [cs.LG]A Hierarchical Two-tier Approach to Hyper-parameter Optimization in Reinforcement Learning
Juan Cruz Barsce, Jorge A. Palombarini, Ernesto Martínez
http://arxiv.org/abs/1909.08332v1
• [cs.LG]Advancing subgroup fairness via sleeping experts
Avrim Blum, Thodoris Lykouris
http://arxiv.org/abs/1909.08375v1
• [cs.LG]Adversarial Attacks and Defenses in Images, Graphs and Text: A Review
Han Xu, Yao Ma, Haochen Liu, Debayan Deb, Hui Liu, Jiliang Tang, Anil Jain
http://arxiv.org/abs/1909.08072v1
• [cs.LG]Bias In, Bias Out? Evaluating the Folk Wisdom
Ashesh Rambachan, Jonathan Roth
http://arxiv.org/abs/1909.08518v1
• [cs.LG]Data Mapping for Restricted Boltzmann Machine
Jiangsheng You
http://arxiv.org/abs/1909.08210v1
• [cs.LG]Decision-Directed Data Decomposition
Brent D. Davis, Ethan Jackson, Daniel J. Lizotte
http://arxiv.org/abs/1909.08159v1
• [cs.LG]Deep Model Reference Adaptive Control
Girish Joshi, Girish Chowdhary
http://arxiv.org/abs/1909.08602v1
• [cs.LG]Distance Geometry and Data Science
Leo Liberti
http://arxiv.org/abs/1909.08544v1
• [cs.LG]Distributed Machine Learning on Mobile Devices: A Survey
Renjie Gu, Shuo Yang, Fan Wu
http://arxiv.org/abs/1909.08329v1
• [cs.LG]Dual Adversarial Co-Learning for Multi-Domain Text Classification
Yuan Wu, Yuhong Guo
http://arxiv.org/abs/1909.08203v1
• [cs.LG]Dynamics of Deep Neural Networks and Neural Tangent Hierarchy
Jiaoyang Huang, Horng-Tzer Yau
http://arxiv.org/abs/1909.08156v1
• [cs.LG]Exploring Bit-Slice Sparsity in Deep Neural Networks for Efficient ReRAM-Based Deployment
Jingyang Zhang, Huanrui Yang, Fan Chen, Yitu Wang, Hai Li
http://arxiv.org/abs/1909.08496v1
• [cs.LG]Hierarchical Reinforcement Learning for Open-Domain Dialog
Abdelrhman Saleh, Natasha Jaques, Asma Ghandeharioun, Judy Hanwen Shen, Rosalind Picard
http://arxiv.org/abs/1909.07547v2
• [cs.LG]Laplacian Matrix for Dimensionality Reduction and Clustering
Laurenz Wiskott, Fabian Schönfeld
http://arxiv.org/abs/1909.08381v1
• [cs.LG]Learnability Can Be Independent of ZFC Axioms: Explanations and Implications
William Taylor
http://arxiv.org/abs/1909.08410v1
• [cs.LG]Learning Discrepancy Models From Experimental Data
Kadierdan Kaheman, Eurika Kaiser, Benjamin Strom, J. Nathan Kutz, Steven L. Brunton
http://arxiv.org/abs/1909.08574v1
• [cs.LG]Learning to Generate Questions with Adaptive Copying Neural Networks
Xinyuan Lu, Yuhong Guo
http://arxiv.org/abs/1909.08187v1
• [cs.LG]Learning to Tune XGBoost with XGBoost
Johanna Sommer, Dimitrios Sarigiannis, Thomas Parnell
http://arxiv.org/abs/1909.07218v2
• [cs.LG]Measure Contribution of Participants in Federated Learning
Guan Wang, Charlie Xiaoqian Dang, Ziye Zhou
http://arxiv.org/abs/1909.08525v1
• [cs.LG]Memory-Augmented Neural Networks for Machine Translation
Mark Collier, Joeran Beel
http://arxiv.org/abs/1909.08314v1
• [cs.LG]No-Regret Learning in Unknown Games with Correlated Payoffs
Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause
http://arxiv.org/abs/1909.08540v1
• [cs.LG]Persistence B-Spline Grids: Stable Vector Representation of Persistence Diagrams Based on Data Fitting
Zhetong Dong, Hongwei Lin, Chi Zhou
http://arxiv.org/abs/1909.08417v1
• [cs.LG]PixelHop: A Successive Subspace Learning (SSL) Method for Object Classification
Yueru Chen, C. -C. Jay Kuo
http://arxiv.org/abs/1909.08190v1
• [cs.LG]Predicting Electricity Consumption using Deep Recurrent Neural Networks
Anupiya Nugaliyadde, Upeka Somaratne, Kok Wai Wong
http://arxiv.org/abs/1909.08182v1
• [cs.LG]Renyi Differentially Private ADMM Based L1 Regularized Classification
Chen Chen, Jaewoo Lee
http://arxiv.org/abs/1909.08180v1
• [cs.LG]Sample Efficient Policy Gradient Methods with Recursive Variance Reduction
Pan Xu, Felicia Gao, Quanquan Gu
http://arxiv.org/abs/1909.08610v1
• [cs.LG]Self-boosted Time-series Forecasting with Multi-task and Multi-view Learning
Long H. Nguyen, Zhenhe Pan, Opeyemi Openiyi, Hashim Abu-gellban, Mahdi Moghadasi, Fang Jin
http://arxiv.org/abs/1909.08181v1
• [cs.LG]The Explanation Game: Explaining Machine Learning Models with Cooperative Game Theory
Luke Merrick, Ankur Taly
http://arxiv.org/abs/1909.08128v1
• [cs.LG]Transfer Learning with Dynamic Adversarial Adaptation Network
Chaohui Yu, Jindong Wang, Yiqiang Chen, Meiyu Huang
http://arxiv.org/abs/1909.08184v1
• [cs.LG]Transfer Learning with Dynamic Distribution Adaptation
Jindong Wang, Yiqiang Chen, Wenjie Feng, Han Yu, Meiyu Huang, Qiang Yang
http://arxiv.org/abs/1909.08531v1
• [cs.LG]Visualizing Movement Control Optimization Landscapes
Perttu Hämäläinen, Juuso Toikka, C. Karen Liu
http://arxiv.org/abs/1909.07869v2
• [cs.LG]Weighed Domain-Invariant Representation Learning for Cross-domain Sentiment Analysis
Minlong Peng, Qi Zhang, Xuanjing Huang
http://arxiv.org/abs/1909.08167v1
• [cs.LG]k-Relevance Vectors for Pattern Classification
Peyman Hosseinzadeh Kassani, Sara Hosseinzadeh Kassani
http://arxiv.org/abs/1909.08528v1
• [cs.LO]A Rule-Based System for Explainable Donor-Patient Matching in Liver Transplantation
Felicidad Aguado, Pedro Cabalar, Jorge Fandinno, Brais Muñiz, Gilberto Pérez, Francisco Suárez
http://arxiv.org/abs/1909.08248v1
• [cs.LO]BigData Applications from Graph Analytics to Machine Learning by Aggregates in Recursion
Ariyam Das, Youfu Li, Jin Wang, Mingda Li, Carlo Zaniolo
http://arxiv.org/abs/1909.08249v1
• [cs.LO]On the Strong Equivalences of LPMLN Programs
Bin Wang, Jun Shen, Shutao Zhang, Zhizheng Zhang
http://arxiv.org/abs/1909.08238v1
• [cs.NE]Bifurcation Spiking Neural Network
Shao-Qun Zhang, Zhi-Hua Zhou
http://arxiv.org/abs/1909.08341v1
• [cs.NE]Generating Local Search Neighborhood with Synthesized Logic Programs
Mateusz Ślażyński, Salvador Abreu, Grzegorz J. Nalepa
http://arxiv.org/abs/1909.08242v1
• [cs.NE]Long-Term Progress and Behavior Complexification in Competitive Co-Evolution
Luca Simione, Stefano Nolfi
http://arxiv.org/abs/1909.08303v1
• [cs.NE]NatCSNN: A Convolutional Spiking Neural Network for recognition of objects extracted from natural images
Pedro Machado, Georgina Cosma, T. M McGinnity
http://arxiv.org/abs/1909.08288v1
• [cs.NE]Research Report on Automatic Synthesis of Local Search Neighborhood Operators
Mateusz Ślażyński
http://arxiv.org/abs/1909.08261v1
• [cs.NI]A Joint Learning and Communications Framework for Federated Learning over Wireless Networks
Mingzhe Chen, Zhaohui Yang, Walid Saad, Changchuan Yin, H. Vincent Poor, Shuguang Cui
http://arxiv.org/abs/1909.07972v1
• [cs.RO]An NMPC Approach using Convex Inner Approximations for Online Motion Planning with Guaranteed Collision Freedom
Tobias Schoels, Luigi Palmieri, Kai O. Arras, Moritz Diehl
http://arxiv.org/abs/1909.08267v1
• [cs.RO]DeepGait: Planning and Control of Quadrupedal Gaits using Deep Reinforcement Learning
Vassilios Tsounis, Mitja Alge, Joonho Lee, Farbod Farshidian, Marco Hutter
http://arxiv.org/abs/1909.08399v1
• [cs.RO]Environmental Hotspot Identification in Limited Time with a UAV Equipped with a Downward-Facing Camera
Yoonchang Sung, Deeksha Dixit, Pratap Tokekar
http://arxiv.org/abs/1909.08483v1
• [cs.RO]First Steps Towards Full Model Based Motion Planning and Control of Quadrupeds: A Hybrid Zero Dynamics Approach
Wen-Loong Ma, Kaveh Akbari Hamed, Aaron D. Ames
http://arxiv.org/abs/1909.08124v1
• [cs.RO]From Bipedal Walking to Quadrupedal Locomotion: Full-Body Dynamics Decomposition for Rapid Gait Generation
Wen-Loong Ma, Aaron D Ames
http://arxiv.org/abs/1909.08560v1
• [cs.RO]Local Trajectory Stabilization for Dexterous Manipulation via Piecewise Affine Approximations
Weiqiao Han, Russ Tedrake
http://arxiv.org/abs/1909.08045v1
• [cs.RO]Nailed It: Autonomous Roofing with a Nailgun-Equipped Octocopter
Matthew Romano, Yuxin Chen, Owen Marshall, Ella Atkins
http://arxiv.org/abs/1909.08162v1
• [cs.RO]Risk Assessment and Planning with Bidirectional Reachability for Autonomous Driving
Ming-Yuan Yu, Ram Vasudevan, Matthew Johnson-Roberson
http://arxiv.org/abs/1909.08059v1
• [cs.RO]SPARCAS: A Decentralized, Truthful Multi-Agent Collision-free Path Finding Mechanism
Sankar Das, Swaprava Nath, Indranil Saha
http://arxiv.org/abs/1909.08290v1
• [cs.RO]Segmentation of Robot Movements using Position and Contact Forces
Martin Karlsson, Anders Robertsson, Rolf Johansson
http://arxiv.org/abs/1909.08289v1
• [cs.RO]Split Deep Q-Learning for Robust Object Singulation
Iason Sarantopoulos, Marios Kiatos, Zoe Doulgeri, Sotiris Malassiotis
http://arxiv.org/abs/1909.08105v1
• [cs.RO]Vision-based Multi-MAV Localization with Anonymous Relative Measurements Using Coupled Probabilistic Data Association Filter
Ty Nguyen, Kartik Mohta, Camillo J. Taylor, Vijay Kumar
http://arxiv.org/abs/1909.08200v1
• [cs.RO]Visual Measurement Integrity Monitoring for UAV Localization
Chengyao Li, Steven L. Waslander
http://arxiv.org/abs/1909.08537v1
• [cs.SD]Cutting Music Source Separation Some Slakh: A Dataset to Study the Impact of Training Data Quality and Quantity
Ethan Manilow, Gordon Wichern, Prem Seetharaman, Jonathan Le Roux
http://arxiv.org/abs/1909.08494v1
• [cs.SE]ModelicaGym: Applying Reinforcement Learning to Modelica Models
Oleh Lukianykhin, Tetiana Bogodorova
http://arxiv.org/abs/1909.08604v1
• [cs.SI]Catching up with trends: The changing landscape of political discussions on twitter in 2014 and 2019
Avinash Tulasi, Kanay Gupta, Omkar Gurjar, Sathvik Sanjeev Buggana, Paras Mehan, Arun Balaji Buduru, Ponnurangam Kumaraguru
http://arxiv.org/abs/1909.07144v2
• [cs.SI]Two Computational Models for Analyzing Political Attention in Social Media
Libby Hemphill, Angela M. Schöpke-Gonzalez
http://arxiv.org/abs/1909.08189v1
• [eess.AS]Bayesian Strategies for Likelihood Ratio Computation in Forensic Voice Comparison with Automatic Systems
Daniel Ramos, Juan Maroñas, Alicia Lozano-Diez
http://arxiv.org/abs/1909.08315v1
• [eess.IV]A Survey on Rain Removal from Video and Single Image
Hong Wang, Minghan Li, Yichen Wu, Qian Zhao, Deyu Meng
http://arxiv.org/abs/1909.08326v1
• [eess.SP]Fiber Nonlinearity Mitigation via the Parzen Window Classifier for Dispersion Managed and Unmanaged Links
Abdelkerim Amari, Xiang Lin, Octavia A. Dobre, Ramachandran Venkatesan, Alex Alvarado
http://arxiv.org/abs/1909.08188v1
• [eess.SP]On reconstruction algorithms for signals sparse in Hermite and Fourier domains
Milos Brajovic
http://arxiv.org/abs/1909.07971v1
• [math.OC]Diversity-enabled sweet spots in layered architectures and speed-accuracy trade-offs in sensorimotor control
Yorie Nakahira, Quanying Liu, Terrence J. Sejnowski, John C. Doyle
http://arxiv.org/abs/1909.08601v1
• [math.ST]Inference on the change point with the jump size near the boundary of the region of detectability in high dimensional time series models
Abhishek Kaul, Venkata K Jandhyala, Stergios B Fotopoulos
http://arxiv.org/abs/1909.08101v1
• [math.ST]Nonparametric estimation of conditional cure models for heavy-tailed distributions and under insufficient follow-up
Mikael Escobar-Bach, Ingrid Van Keilegom
http://arxiv.org/abs/1909.08436v1
• [math.ST]On compatibility/incompatibility of two discrete probability distributions in the presence of incomplete specification
Indranil Ghosh, N. Balakrishnan
http://arxiv.org/abs/1909.08447v1
• [math.ST]Rotational Uniqueness Conditions Under Oblique Factor Correlation Metric
Carel F. W. Peeters
http://arxiv.org/abs/1909.08022v1
• [physics.ao-ph]Statistical and machine learning ensemble modelling to forecast sea surface temperature
Stefan Wolff, Fearghal O’Donncha, Bei Chen
http://arxiv.org/abs/1909.08573v1
• [physics.comp-ph]Deep neural network solution of the electronic Schrödinger equation
Jan Hermann, Zeno Schätzle, Frank Noé
http://arxiv.org/abs/1909.08423v1
• [physics.soc-ph]Beyond polarization: the asymmetry of vaccine controversies in France
Floriana Gargiulo, Florian Cafiero, Paul Guille-Escuret, Valerie Seror, Jeremy Ward
http://arxiv.org/abs/1909.08311v1
• [q-bio.NC]Generation mechanism of cell assembly to store information about hand recognition
Takahiro Homma
http://arxiv.org/abs/1909.08158v1
• [quant-ph]Quantum process tomography with unknown single-preparation input states
Yannick Deville, Alain Deville
http://arxiv.org/abs/1909.08401v1
• [stat.AP]Analysis of the hospital records from AOK Plus
Agata Lonc, Monika J. Piotrowska, Konrad Sakowski
http://arxiv.org/abs/1909.08169v1
• [stat.AP]Estimating maternal mortality using data from national civil registration vital statistics systems: A Bayesian hierarchical bivariate random walk model to estimate sensitivity and specificity of reporting
Emily Peterson, Doris Chou, Ann-Beth Moller, Alison Gemmill, Lale Say, Leontine Alkema
http://arxiv.org/abs/1909.08578v1
• [stat.AP]Evaluating Effects of Tuition Fees: Lasso for the Case of Germany
Konstantin Görgen, Melanie Schienle
http://arxiv.org/abs/1909.08299v1
• [stat.AP]Modeling the occurrence of events subject to a reporting delay via an EM algorithm
Roel Verbelen, Katrien Antonio, Gerda Claeskens, Jonas Crevecoeur
http://arxiv.org/abs/1909.08336v1
• [stat.AP]Robust statistical modeling of monthly rainfall: The minimum density power divergence approach
Arnab Hazra, Abhik Ghosh
http://arxiv.org/abs/1909.08035v1
• [stat.AP]The Impact of Operating Environment on Efficiency of Public Libraries
Vladimír Holý
http://arxiv.org/abs/1909.08492v1
• [stat.ME]Conditional Information and Inference in Response-Adaptive Allocation Designs
Adam Lane
http://arxiv.org/abs/1909.08364v1
• [stat.ME]Interpretable Principal Components Analysis for Multilevel Multivariate Functional Data, with Application to EEG Experiments
Jun Zhang, Greg J Siegle, Wendy D’Andrea, Robert T Krafty
http://arxiv.org/abs/1909.08024v1
• [stat.ME]Regularization in Generalized Semiparametric Mixed-Effects Model for Longitudinal Data
M. Taavoni, M. Arashi
http://arxiv.org/abs/1909.08498v1
• [stat.ME]Semantic and Cognitive Tools to Aid Statistical Inference: Replace Confidence and Significance by Compatibility and Surprise
Zad R. Chow, Sander Greenland
http://arxiv.org/abs/1909.08579v1
• [stat.ME]To Aid Statistical Inference, Emphasize Unconditional Descriptions of Statistics
Sander Greenland, Zad R. Chow
http://arxiv.org/abs/1909.08583v1
• [stat.ML]Properties of Laplacian Pyramids for Extension and Denoising
William Leeb
http://arxiv.org/abs/1909.07974v1
• [stat.ML]Relaxed Softmax for learning from Positive and Unlabeled data
Ugo Tanielian, Flavian Vasile
http://arxiv.org/abs/1909.08079v1
若有收获，就点个赞吧
0 人点赞
