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.DS - 数据结构与算法 cs.IT - 信息论 cs.LG - 自动学习 cs.MM - 多媒体 cs.MS - 数学软件 cs.NE - 神经与进化计算 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 eess.IV - 图像与视频处理 eess.SY - 系统和控制 math.OC - 优化与控制 math.ST - 统计理论 physics.flu-dyn - 流体动力学 q-bio.QM - 定量方法 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]Deep Q-Network for Angry Birds
    • [cs.CL]Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods
    • [cs.CL]Character Feature Engineering for Japanese Word Segmentation
    • [cs.CL]Detecting Deception in Political Debates Using Acoustic and Textual Features
    • [cs.CL]DialectGram: Automatic Detection of Dialectal Variation at Multiple Geographic Resolutions
    • [cs.CL]Distilling Transformers into Simple Neural Networks with Unlabeled Transfer Data
    • [cs.CL]Modeling Confidence in Sequence-to-Sequence Models
    • [cs.CL]Multi-level Gated Recurrent Neural Network for Dialog Act Classification
    • [cs.CL]Predicting the Role of Political Trolls in Social Media
    • [cs.CL]Semi-Supervised Generative Modeling for Controllable Speech Synthesis
    • [cs.CL]Tanbih: Get To Know What You Are Reading
    • [cs.CL]Template-free Data-to-Text Generation of Finnish Sports News
    • [cs.CR]Boomerang: Redundancy Improves Latency and Throughput in Payment Networks
    • [cs.CR]PINFER: Privacy-Preserving Inference for Machine Learning
    • [cs.CV]360-Indoor: Towards Learning Real-World Objects in 360° Indoor Equirectangular Images
    • [cs.CV]A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology
    • [cs.CV]Active Learning with Weak Supervision for Cost-Effective Panicle Detection in Cereal Crops
    • [cs.CV]DELP-DAR System for License Plate Detection and Recognition
    • [cs.CV]EBBIOT: A Low-complexity Tracking Algorithm for Surveillance in IoVT Using Stationary Neuromorphic Vision Sensors
    • [cs.CV]Generating Relevant Counter-Examples from a Positive Unlabeled Dataset for Image Classification
    • [cs.CV]Layout-Graph Reasoning for Fashion Landmark Detection
    • [cs.CV]NeurReg: Neural Registration and Its Application to Image Segmentation
    • [cs.CV]Neural Puppet: Generative Layered Cartoon Characters
    • [cs.CV]Neural Turtle Graphics for Modeling City Road Layouts
    • [cs.CV]On the Detection of Digital Face Manipulation
    • [cs.CV]Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances
    • [cs.CV]SELF: Learning to Filter Noisy Labels with Self-Ensembling
    • [cs.CV]Stacked Autoencoder Based Deep Random Vector Functional Link Neural Network for Classification
    • [cs.CV]Talk2Nav: Long-Range Vision-and-Language Navigation in Cities
    • [cs.CV]Two Stream Networks for Self-Supervised Ego-Motion Estimation
    • [cs.CV]Unsupervised Keypoint Learning for Guiding Class-Conditional Video Prediction
    • [cs.CV]Variational Osmosis for Non-linear Image Fusion
    • [cs.CY]The Effects of Digitalization on Human Energy and Fatigue: A Review
    • [cs.DB]A Blueprint For Interoperable Blockhains
    • [cs.DC]Scheduling Stochastic Real-Time Coflows in Unreliable Computing Machines
    • [cs.DS]Efficient Symmetric Norm Regression via Linear Sketching
    • [cs.IT]A DNN Architecture for the Detection of Generalized Spatial Modulation Signals
    • [cs.IT]Analytical Performance Evaluation of THz Wireless Fiber Extenders
    • [cs.IT]Ergodic capacity evaluation of wireless THz fiber extenders
    • [cs.IT]On some distributed scheduling algorithms for wireless networks with hypergraph interference models
    • [cs.IT]On the Effectiveness of OTFS for Joint Radar and Communication
    • [cs.IT]Secret key agreement for hypergraphical sources with limited total discussion
    • [cs.LG]Benchmarking Batch Deep Reinforcement Learning Algorithms
    • [cs.LG]Causal Induction from Visual Observations for Goal Directed Tasks
    • [cs.LG]Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints
    • [cs.LG]Conditional out-of-sample generation for unpaired data using trVAE
    • [cs.LG]Dynamic Joint Variational Graph Autoencoders
    • [cs.LG]Enriching Visual with Verbal Explanations for Relational Concepts — Combining LIME with Aleph
    • [cs.LG]Few-Shot Abstract Visual Reasoning With Spectral Features
    • [cs.LG]Fluid Flow Mass Transport for Generative Networks
    • [cs.LG]Generalized Inner Loop Meta-Learning
    • [cs.LG]Generative Adversarial Networks for Failure Prediction
    • [cs.LG]If MaxEnt RL is the Answer, What is the Question?
    • [cs.LG]Learning Robust Representations with Graph Denoising Policy Network
    • [cs.LG]Manufacturing Dispatching using Reinforcement and Transfer Learning
    • [cs.LG]Measuring Arithmetic Extrapolation Performance
    • [cs.LG]On the Duality between Network Flows and Network Lasso
    • [cs.LG]PPGAN: Privacy-preserving Generative Adversarial Network
    • [cs.LG]Randomized Shortest Paths with Net Flows and Capacity Constraints
    • [cs.LG]Revisiting Classical Bagging with Modern Transfer Learning for On-the-fly Disaster Damage Detector
    • [cs.LG]SNDCNN: Self-normalizing deep CNNs with scaled exponential linear units for speech recognition
    • [cs.LG]Scalable Global Optimization via Local Bayesian Optimization
    • [cs.LG]The Complexity of Finding Stationary Points with Stochastic Gradient Descent
    • [cs.LG]Unsupervised Representation for EHR Signals and Codes as Patient Status Vector
    • [cs.LG]Using Logical Specifications of Objectives in Multi-Objective Reinforcement Learning
    • [cs.LG]ZeRO: Memory Optimization Towards Training A Trillion Parameter Models
    • [cs.MM]SMP Challenge: An Overview of Social Media Prediction Challenge 2019
    • [cs.MS]GPU Fast Convolution via the Overlap-and-Save Method in Shared Memory
    • [cs.NE]Order Acceptance and Scheduling with Sequence-dependent Setup Times: a New Memetic Algorithm and Benchmark of the State of the Art
    • [cs.RO]Behavior Mixing with Minimum Global and Subgroup Connectivity Maintenance for Large-Scale Multi-Robot Systems
    • [cs.RO]Estimating Lower Limb Kinematics using a Lie Group Constrained EKF and a Reduced Wearable IMU Count
    • [cs.RO]Higher Order Function Networks for View Planning and Multi-View Reconstruction
    • [cs.RO]Hybrid Zero Dynamics Inspired Feedback Control Policy Design for 3D Bipedal Locomotion using Reinforcement Learning
    • [cs.RO]Low-cost LIDAR based Vehicle Pose Estimation and Tracking
    • [cs.RO]Motion Planning through Demonstration to Deal with Complex Motions in Assembly Process
    • [cs.RO]Prediction of Human Full-Body Movements with Motion Optimization and Recurrent Neural Networks
    • [cs.RO]Reach Out and Help: Assisted Remote Collaboration through a Handheld Robot
    • [cs.RO]Resilient Coverage: Exploring the Local-to-Global Trade-off
    • [cs.RO]Zero Shot Learning on Simulated Robots
    • [cs.SD]Midi Miner — A Python library for tonal tension and track classification
    • [cs.SI]A new method for quantifying network cyclic structure to improve community detection
    • [cs.SI]An adaptive hybrid algorithm for social networks to choose groups with independent members
    • [cs.SI]Bots, elections, and social media: a brief overview
    • [cs.SI]Constant State of Change: Engagement Inequality in Temporal Dynamic Networks
    • [cs.SI]From Senseless Swarms to Smart Mobs: Tuning Networks for Prosocial Behaviour
    • [cs.SI]Token Economics in Real-Life: Cryptocurrency and Incentives Design for Insolar Blockchain Network
    • [eess.IV]4D MRI: Robust sorting of free breathing MRI slices for use in interventional settings
    • [eess.IV]Memory efficient brain tumor segmentation using an autoencoder-regularized U-Net
    • [eess.SY]Convolutional Neural Networks for Speech Controlled Prosthetic Hands
    • [math.OC]Approximate policy iteration using neural networks for storage problems
    • [math.OC]Inexact Online Proximal-gradient Method for Time-varying Convex Optimization
    • [math.ST]Nonasymptotic estimates for Stochastic Gradient Langevin Dynamics under local conditions in nonconvex optimization
    • [math.ST]On the Asymptotic Distribution of the Scan Statistic for Point Clouds
    • [math.ST]On the strong uniform consistency for relative error of the regression function estimator for censoring times series model
    • [physics.flu-dyn]Path-planning microswimmers can swim efficiently in turbulent flows
    • [q-bio.QM]A Random Interaction Forest for Prioritizing Predictive Biomarkers
    • [q-bio.QM]A machine learning method correlating pulse pressure wave data with pregnancy
    • [quant-ph]Quantum Hamiltonian-Based Models and the Variational Quantum Thermalizer Algorithm
    • [stat.AP]Computationally efficient surrogate-based optimization of coastal storm waves heights and run-ups
    • [stat.AP]Profile regression for subgrouping patients with early stage Parkinson’s disease
    • [stat.AP]Usage-Based Vehicle Insurance: Driving Style Factors of Accident Probability and Severity
    • [stat.ME]Algebraic statistics, tables, and networks: The Fienberg advantage
    • [stat.ME]Automating Data Monitoring: Detecting Structural Breaks in Time Series Data Using Bayesian Minimum Description Length
    • [stat.ME]Function-on-function kriging, with applications to 3D printing of aortic tissues
    • [stat.ME]SIMPLE: Statistical Inference on Membership Profiles in Large Networks
    • [stat.ME]Streamlined Variational Inference for Linear Mixed Models with Crossed Random Effects
    • [stat.ML]Bayesian Optimization for Materials Design with Mixed Quantitative and Qualitative Variables
    • [stat.ML]Dual Learning Algorithm for Delayed Feedback in Display Advertising
    • [stat.ML]Simulations evaluating resampling methods for causal discovery: ensemble performance and calibration
    • [stat.ML]Sparse Popularity Adjusted Stochastic Block Model

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    • [cs.AI]Deep Q-Network for Angry Birds
    Ekaterina Nikonova, Jakub Gemrot
    http://arxiv.org/abs/1910.01806v1

    • [cs.CL]Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods
    Camburu Oana-Maria, Giunchiglia Eleonora, Foerster Jakob, Lukasiewicz Thomas, Blunsom Phil
    http://arxiv.org/abs/1910.02065v1

    • [cs.CL]Character Feature Engineering for Japanese Word Segmentation
    Mike Tian-Jian Jiang
    http://arxiv.org/abs/1910.01761v1

    • [cs.CL]Detecting Deception in Political Debates Using Acoustic and Textual Features
    Daniel Kopev, Ahmed Ali, Ivan Koychev, Preslav Nakov
    http://arxiv.org/abs/1910.01990v1

    • [cs.CL]DialectGram: Automatic Detection of Dialectal Variation at Multiple Geographic Resolutions
    Hang Jiang, Haoshen Hong, Yuxing Chen, Vivek Kulkarni
    http://arxiv.org/abs/1910.01818v1

    • [cs.CL]Distilling Transformers into Simple Neural Networks with Unlabeled Transfer Data
    Subhabrata Mukherjee, Ahmed Hassan Awadallah
    http://arxiv.org/abs/1910.01769v1

    • [cs.CL]Modeling Confidence in Sequence-to-Sequence Models
    Jan Niehues, Ngoc-Quan Pham
    http://arxiv.org/abs/1910.01859v1

    • [cs.CL]Multi-level Gated Recurrent Neural Network for Dialog Act Classification
    Wei Li, Yunfang Wu
    http://arxiv.org/abs/1910.01822v1

    • [cs.CL]Predicting the Role of Political Trolls in Social Media
    Atanas Atanasov, Gianmarco De Francisci Morales, Preslav Nakov
    http://arxiv.org/abs/1910.02001v1

    • [cs.CL]Semi-Supervised Generative Modeling for Controllable Speech Synthesis
    Raza Habib, Soroosh Mariooryad, Matt Shannon, Eric Battenberg, RJ Skerry-Ryan, Daisy Stanton, David Kao, Tom Bagby
    http://arxiv.org/abs/1910.01709v1

    • [cs.CL]Tanbih: Get To Know What You Are Reading
    Yifan Zhang, Giovanni Da San Martino, Alberto Barrón-Cedeño, Salvatore Romeo, Jisun An, Haewoon Kwak, Todor Staykovski, Israa Jaradat, Georgi Karadzhov, Ramy Baly, Kareem Darwish, James Glass, Preslav Nakov
    http://arxiv.org/abs/1910.02028v1

    • [cs.CL]Template-free Data-to-Text Generation of Finnish Sports News
    Jenna Kanerva, Samuel Rönnqvist, Riina Kekki, Tapio Salakoski, Filip Ginter
    http://arxiv.org/abs/1910.01863v1

    • [cs.CR]Boomerang: Redundancy Improves Latency and Throughput in Payment Networks
    Vivek Bagaria, Joachim Neu, David Tse
    http://arxiv.org/abs/1910.01834v1

    • [cs.CR]PINFER: Privacy-Preserving Inference for Machine Learning
    Marc Joye, Fabien A. P. Petitcolas
    http://arxiv.org/abs/1910.01865v1

    • [cs.CV]360-Indoor: Towards Learning Real-World Objects in 360° Indoor Equirectangular Images
    Shih-Han Chou, Cheng Sun, Wen-Yen Chang, Wan-Ting Hsu, Min Sun, Jianlong Fu
    http://arxiv.org/abs/1910.01712v1

    • [cs.CV]A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology
    James R. Clough, Ilkay Oksuz, Nicholas Byrne, Veronika A. Zimmer, Julia A. Schnabel, Andrew P. King
    http://arxiv.org/abs/1910.01877v1

    • [cs.CV]Active Learning with Weak Supervision for Cost-Effective Panicle Detection in Cereal Crops
    Akshay C Lagandula, Sai Vikas Desai, Vineeth N Balasubramanian, Seishi Ninomiya, Wei Guo
    http://arxiv.org/abs/1910.01789v1

    • [cs.CV]DELP-DAR System for License Plate Detection and Recognition
    Zied Selmi, Mohamed Ben Halima, Umapada Pal, M. Adel Alimi
    http://arxiv.org/abs/1910.01853v1

    • [cs.CV]EBBIOT: A Low-complexity Tracking Algorithm for Surveillance in IoVT Using Stationary Neuromorphic Vision Sensors
    Jyotibdha Acharya, Andres Ussa Caycedo, Vandana Reddy Padala, Rishi Raj Sidhu Singh, Garrick Orchard, Bharath Ramesh, Arindam Basu
    http://arxiv.org/abs/1910.01851v1

    • [cs.CV]Generating Relevant Counter-Examples from a Positive Unlabeled Dataset for Image Classification
    Florent Chiaroni, Ghazaleh Khodabandelou, Mohamed-Cherif Rahal, Nicolas Hueber, Frederic Dufaux
    http://arxiv.org/abs/1910.01968v1

    • [cs.CV]Layout-Graph Reasoning for Fashion Landmark Detection
    Weijiang Yu, Xiaodan Liang, Ke Gong, Chenhan Jiang, Nong Xiao, Liang Lin
    http://arxiv.org/abs/1910.01923v1

    • [cs.CV]NeurReg: Neural Registration and Its Application to Image Segmentation
    Wentao Zhu, Andriy Myronenko, Ziyue Xu, Wenqi Li, Holger Roth, Yufang Huang, Fausto Milletari, Daguang Xu
    http://arxiv.org/abs/1910.01763v1

    • [cs.CV]Neural Puppet: Generative Layered Cartoon Characters
    Omid Poursaeed, Vladimir G. Kim, Eli Shechtman, Jun Saito, Serge Belongie
    http://arxiv.org/abs/1910.02060v1

    • [cs.CV]Neural Turtle Graphics for Modeling City Road Layouts
    Hang Chu, Daiqing Li, David Acuna, Amlan Kar, Maria Shugrina, Xinkai Wei, Ming-Yu Liu, Antonio Torralba, Sanja Fidler
    http://arxiv.org/abs/1910.02055v1

    • [cs.CV]On the Detection of Digital Face Manipulation
    Joel Stehouwer, Hao Dang, Feng Liu, Xiaoming Liu, Anil Jain
    http://arxiv.org/abs/1910.01717v1

    • [cs.CV]Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances
    Vitor Guizilini, Jie Li, Rares Ambrus, Sudeep Pillai, Adrien Gaidon
    http://arxiv.org/abs/1910.01765v1

    • [cs.CV]SELF: Learning to Filter Noisy Labels with Self-Ensembling
    Duc Tam Nguyen, Chaithanya Kumar Mummadi, Thi Phuong Nhung Ngo, Thi Hoai Phuong Nguyen, Laura Beggel, Thomas Brox
    http://arxiv.org/abs/1910.01842v1

    • [cs.CV]Stacked Autoencoder Based Deep Random Vector Functional Link Neural Network for Classification
    Rakesh Katuwal, P. N. Suganthan
    http://arxiv.org/abs/1910.01858v1

    • [cs.CV]Talk2Nav: Long-Range Vision-and-Language Navigation in Cities
    Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool
    http://arxiv.org/abs/1910.02029v1

    • [cs.CV]Two Stream Networks for Self-Supervised Ego-Motion Estimation
    Rares Ambrus, Vitor Guizilini, Jie Li, Sudeep Pillai, Adrien Gaidon
    http://arxiv.org/abs/1910.01764v1

    • [cs.CV]Unsupervised Keypoint Learning for Guiding Class-Conditional Video Prediction
    Yunji Kim, Seonghyeon Nam, In Cho, Seon Joo Kim
    http://arxiv.org/abs/1910.02027v1

    • [cs.CV]Variational Osmosis for Non-linear Image Fusion
    Simone Parisotto, Luca Calatroni, Aurélie Bugeau, Nicolas Papadakis, Carola-Bibiane Schönlieb
    http://arxiv.org/abs/1910.02012v1

    • [cs.CY]The Effects of Digitalization on Human Energy and Fatigue: A Review
    Jana Korunovska, Sarah Spiekermann
    http://arxiv.org/abs/1910.01970v1

    • [cs.DB]A Blueprint For Interoperable Blockhains
    Tien Tuan Anh Dinh, Anwitaman Datta, Beng Chin Ooi
    http://arxiv.org/abs/1910.00985v2

    • [cs.DC]Scheduling Stochastic Real-Time Coflows in Unreliable Computing Machines
    Yu-Pin Hsu
    http://arxiv.org/abs/1910.00916v3

    • [cs.DS]Efficient Symmetric Norm Regression via Linear Sketching
    Zhao Song, Ruosong Wang, Lin F. Yang, Peilin Zhong, Hongyang Zhang
    http://arxiv.org/abs/1910.01788v1

    • [cs.IT]A DNN Architecture for the Detection of Generalized Spatial Modulation Signals
    Bharath Shamasundar, A. Chockalingam
    http://arxiv.org/abs/1910.01948v1

    • [cs.IT]Analytical Performance Evaluation of THz Wireless Fiber Extenders
    Alexandros-Apostolos A. Boulogeorgos, Evangelos N. Papasotiriou, Angeliki Alexiou
    http://arxiv.org/abs/1910.01885v1

    • [cs.IT]Ergodic capacity evaluation of wireless THz fiber extenders
    Evangelos N. Papasotiriou, Alexandros-Apostolos A. Boulogeorgos, Angeliki Alexiou
    http://arxiv.org/abs/1910.01836v1

    • [cs.IT]On some distributed scheduling algorithms for wireless networks with hypergraph interference models
    Ashwin Ganesan
    http://arxiv.org/abs/1910.01909v1

    • [cs.IT]On the Effectiveness of OTFS for Joint Radar and Communication
    Lorenzo Gaudio, Mari Kobayashi, Giuseppe Caire, Giulio Colavolpe
    http://arxiv.org/abs/1910.01896v1

    • [cs.IT]Secret key agreement for hypergraphical sources with limited total discussion
    Chung Chan
    http://arxiv.org/abs/1910.01894v1

    • [cs.LG]Benchmarking Batch Deep Reinforcement Learning Algorithms
    Scott Fujimoto, Edoardo Conti, Mohammad Ghavamzadeh, Joelle Pineau
    http://arxiv.org/abs/1910.01708v1

    • [cs.LG]Causal Induction from Visual Observations for Goal Directed Tasks
    Suraj Nair, Yuke Zhu, Silvio Savarese, Li Fei-Fei
    http://arxiv.org/abs/1910.01751v1

    • [cs.LG]Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints
    Felix Sattler, Klaus-Robert Müller, Wojciech Samek
    http://arxiv.org/abs/1910.01991v1

    • [cs.LG]Conditional out-of-sample generation for unpaired data using trVAE
    Mohammad Lotfollahi, Mohsen Naghipourfar, Fabian J. Theis, F. Alexander Wolf
    http://arxiv.org/abs/1910.01791v1

    • [cs.LG]Dynamic Joint Variational Graph Autoencoders
    Sedigheh Mahdavi, Shima Khoshraftar, Aijun An
    http://arxiv.org/abs/1910.01963v1

    • [cs.LG]Enriching Visual with Verbal Explanations for Relational Concepts — Combining LIME with Aleph
    Johannes Rabold, Hannah Deininger, Michael Siebers, Ute Schmid
    http://arxiv.org/abs/1910.01837v1

    • [cs.LG]Few-Shot Abstract Visual Reasoning With Spectral Features
    Tanner Bohn, Yining Hu, Charles X. Ling
    http://arxiv.org/abs/1910.01833v1

    • [cs.LG]Fluid Flow Mass Transport for Generative Networks
    Jingrong Lin, Keegan Lensink, Eldad Haber
    http://arxiv.org/abs/1910.01694v1

    • [cs.LG]Generalized Inner Loop Meta-Learning
    Edward Grefenstette, Brandon Amos, Denis Yarats, Phu Mon Htut, Artem Molchanov, Franziska Meier, Douwe Kiela, Kyunghyun Cho, Soumith Chintala
    http://arxiv.org/abs/1910.01727v1

    • [cs.LG]Generative Adversarial Networks for Failure Prediction
    Shuai Zheng, Ahmed Farahat, Chetan Gupta
    http://arxiv.org/abs/1910.02034v1

    • [cs.LG]If MaxEnt RL is the Answer, What is the Question?
    Benjamin Eysenbach, Sergey Levine
    http://arxiv.org/abs/1910.01913v1

    • [cs.LG]Learning Robust Representations with Graph Denoising Policy Network
    Lu Wang, Wenchao Yu, Wei Wang, Wei Cheng, Wei Zhang, Hongyuan Zha, Xiaofeng He, Haifeng Chen
    http://arxiv.org/abs/1910.01784v1

    • [cs.LG]Manufacturing Dispatching using Reinforcement and Transfer Learning
    Shuai Zheng, Chetan Gupta, Susumu Serita
    http://arxiv.org/abs/1910.02035v1

    • [cs.LG]Measuring Arithmetic Extrapolation Performance
    Andreas Madsen, Alexander Rosenberg Johansen
    http://arxiv.org/abs/1910.01888v1

    • [cs.LG]On the Duality between Network Flows and Network Lasso
    Alexander Jung
    http://arxiv.org/abs/1910.01805v1

    • [cs.LG]PPGAN: Privacy-preserving Generative Adversarial Network
    Yi Liu, Jialiang Peng, James J. Q Yu, Yi Wu
    http://arxiv.org/abs/1910.02007v1

    • [cs.LG]Randomized Shortest Paths with Net Flows and Capacity Constraints
    Sylvain Courtain, Pierre Leleux, Ilkka Kivimaki, Guillaume Guex, Marco Saerens
    http://arxiv.org/abs/1910.01849v1

    • [cs.LG]Revisiting Classical Bagging with Modern Transfer Learning for On-the-fly Disaster Damage Detector
    Junghoon Seo, Seungwon Lee, Beomsu Kim, Taegyun Jeon
    http://arxiv.org/abs/1910.01911v1

    • [cs.LG]SNDCNN: Self-normalizing deep CNNs with scaled exponential linear units for speech recognition
    Zhen Huang, Tim Ng, Leo Liu, Henry Mason, Xiaodan Zhuang, Daben Liu
    http://arxiv.org/abs/1910.01992v1

    • [cs.LG]Scalable Global Optimization via Local Bayesian Optimization
    David Eriksson, Michael Pearce, Jacob R Gardner, Ryan Turner, Matthias Poloczek
    http://arxiv.org/abs/1910.01739v1

    • [cs.LG]The Complexity of Finding Stationary Points with Stochastic Gradient Descent
    Yoel Drori, Ohad Shamir
    http://arxiv.org/abs/1910.01845v1

    • [cs.LG]Unsupervised Representation for EHR Signals and Codes as Patient Status Vector
    Sajad Darabi, Mohammad Kachuee, Majid Sarrafzadeh
    http://arxiv.org/abs/1910.01803v1

    • [cs.LG]Using Logical Specifications of Objectives in Multi-Objective Reinforcement Learning
    Kolby Nottingham, Anand Balakrishnan, Jyotirmoy Deshmukh, Connor Christopherson, David Wingate
    http://arxiv.org/abs/1910.01723v1

    • [cs.LG]ZeRO: Memory Optimization Towards Training A Trillion Parameter Models
    Samyam Rajbhandari, Jeff Rasley, Olatunji Ruwase, Yuxiong He
    http://arxiv.org/abs/1910.02054v1

    • [cs.MM]SMP Challenge: An Overview of Social Media Prediction Challenge 2019
    Bo Wu, Wen-Huang Cheng, Peiye Liu, Zhaoyang Zeng, Jiebo Luo
    http://arxiv.org/abs/1910.01795v1

    • [cs.MS]GPU Fast Convolution via the Overlap-and-Save Method in Shared Memory
    Karel Adámek, Sofia Dimoudi, Mike Giles, Wesley Armour
    http://arxiv.org/abs/1910.01972v1

    • [cs.NE]Order Acceptance and Scheduling with Sequence-dependent Setup Times: a New Memetic Algorithm and Benchmark of the State of the Art
    Lei He, Arthur Guijt, Mathijs de Weerdt, Lining Xing, Neil Yorke-Smith
    http://arxiv.org/abs/1910.01982v1

    • [cs.RO]Behavior Mixing with Minimum Global and Subgroup Connectivity Maintenance for Large-Scale Multi-Robot Systems
    Wenhao Luo, Sha Yi, Katia Sycara
    http://arxiv.org/abs/1910.01693v1

    • [cs.RO]Estimating Lower Limb Kinematics using a Lie Group Constrained EKF and a Reduced Wearable IMU Count
    Luke Sy, Nigel H. Lovell, Stephen J. Redmond
    http://arxiv.org/abs/1910.01808v1

    • [cs.RO]Higher Order Function Networks for View Planning and Multi-View Reconstruction
    Selim Engin, Eric Mitchell, Daewon Lee, Volkan Isler, Daniel D. Lee
    http://arxiv.org/abs/1910.02066v1

    • [cs.RO]Hybrid Zero Dynamics Inspired Feedback Control Policy Design for 3D Bipedal Locomotion using Reinforcement Learning
    Guillermo A. Castillo, Bowen Weng, Wei Zhang, Ayonga Hereid
    http://arxiv.org/abs/1910.01748v1

    • [cs.RO]Low-cost LIDAR based Vehicle Pose Estimation and Tracking
    Chen Fu, Chiyu Dong, Xiao Zhang, John M. Dolan
    http://arxiv.org/abs/1910.01701v1

    • [cs.RO]Motion Planning through Demonstration to Deal with Complex Motions in Assembly Process
    Yan Wang, Kensuke Harada, Weiwei Wan
    http://arxiv.org/abs/1910.01821v1

    • [cs.RO]Prediction of Human Full-Body Movements with Motion Optimization and Recurrent Neural Networks
    Philipp Kratzer, Marc Toussaint, Jim Mainprice
    http://arxiv.org/abs/1910.01843v1

    • [cs.RO]Reach Out and Help: Assisted Remote Collaboration through a Handheld Robot
    Janis Stolzenwald, Walterio W. Mayol-Cuevas
    http://arxiv.org/abs/1910.02015v1

    • [cs.RO]Resilient Coverage: Exploring the Local-to-Global Trade-off
    Ragesh K. Ramachandran, Lifeng Zhou, Gaurav S. Sukhatme
    http://arxiv.org/abs/1910.01917v1

    • [cs.RO]Zero Shot Learning on Simulated Robots
    Robert Kwiatkowski, Hod Lipson
    http://arxiv.org/abs/1910.01994v1

    • [cs.SD]Midi Miner — A Python library for tonal tension and track classification
    Rui Guo, Dorien Herremans, Thor Magnusson
    http://arxiv.org/abs/1910.02049v1

    • [cs.SI]A new method for quantifying network cyclic structure to improve community detection
    Behnaz Moradi-Jamei, Heman Shakeri, Pietro Poggi-Corradini, Michael J. Higgins
    http://arxiv.org/abs/1910.01921v1

    • [cs.SI]An adaptive hybrid algorithm for social networks to choose groups with independent members
    Parham Hadikhani, Pooria Hadikhani
    http://arxiv.org/abs/1910.01875v1

    • [cs.SI]Bots, elections, and social media: a brief overview
    Emilio Ferrara
    http://arxiv.org/abs/1910.01720v1

    • [cs.SI]Constant State of Change: Engagement Inequality in Temporal Dynamic Networks
    Hadar Miller, Osnat Mokryn
    http://arxiv.org/abs/1910.01722v1

    • [cs.SI]From Senseless Swarms to Smart Mobs: Tuning Networks for Prosocial Behaviour
    Sun Sun Lim, Roland Bouffanais
    http://arxiv.org/abs/1910.01303v2

    • [cs.SI]Token Economics in Real-Life: Cryptocurrency and Incentives Design for Insolar Blockchain Network
    Marek Laskowski, Henry M. Kim, Michael Zargham, Matt Barlin, Danil Kabanov
    http://arxiv.org/abs/1910.02064v1

    • [eess.IV]4D MRI: Robust sorting of free breathing MRI slices for use in interventional settings
    Gino Gulamhussene, Fabian Joeres, Marko Rak, Maciej Pech, Christian Hansen
    http://arxiv.org/abs/1910.01902v1

    • [eess.IV]Memory efficient brain tumor segmentation using an autoencoder-regularized U-Net
    Markus Frey, Matthias Nau
    http://arxiv.org/abs/1910.02058v1

    • [eess.SY]Convolutional Neural Networks for Speech Controlled Prosthetic Hands
    Mohsen Jafarzadeh, Yonas Tadesse
    http://arxiv.org/abs/1910.01918v1

    • [math.OC]Approximate policy iteration using neural networks for storage problems
    Trivikram Dokka, Richlove Frimpong
    http://arxiv.org/abs/1910.01895v1

    • [math.OC]Inexact Online Proximal-gradient Method for Time-varying Convex Optimization
    Amirhossein Ajalloeian, Andrea Simonetto, Emiliano Dall’Anese
    http://arxiv.org/abs/1910.02018v1

    • [math.ST]Nonasymptotic estimates for Stochastic Gradient Langevin Dynamics under local conditions in nonconvex optimization
    Ying Zhang, Ömer Deniz Akyildiz, Theo Damoulas, Sotirios Sabanis
    http://arxiv.org/abs/1910.02008v1

    • [math.ST]On the Asymptotic Distribution of the Scan Statistic for Point Clouds
    Andrew Ying, Wen-Xin Zhou
    http://arxiv.org/abs/1910.01809v1

    • [math.ST]On the strong uniform consistency for relative error of the regression function estimator for censoring times series model
    Bouhadjera Feriel, Elias Ould Said
    http://arxiv.org/abs/1910.01964v1

    • [physics.flu-dyn]Path-planning microswimmers can swim efficiently in turbulent flows
    Jaya Kumar Alageshan, Akhilesh Kumar Verma, Jérémie Bec, Rahul Pandit
    http://arxiv.org/abs/1910.01728v1

    • [q-bio.QM]A Random Interaction Forest for Prioritizing Predictive Biomarkers
    Zhen Zeng, Yuefeng Lu, Judong Shen, Wei Zheng, Peter Shaw, Mary Beth Dorr
    http://arxiv.org/abs/1910.01786v1

    • [q-bio.QM]A machine learning method correlating pulse pressure wave data with pregnancy
    Jianhong Chen, Huang Huang, Wenrui Hao, Jinchao Xu
    http://arxiv.org/abs/1910.01726v1

    • [quant-ph]Quantum Hamiltonian-Based Models and the Variational Quantum Thermalizer Algorithm
    Guillaume Verdon, Jacob Marks, Sasha Nanda, Stefan Leichenauer, Jack Hidary
    http://arxiv.org/abs/1910.02071v1

    • [stat.AP]Computationally efficient surrogate-based optimization of coastal storm waves heights and run-ups
    Theodoros Mathikolonis, Volker Roeber, Serge Guillas
    http://arxiv.org/abs/1910.01932v1

    • [stat.AP]Profile regression for subgrouping patients with early stage Parkinson’s disease
    Sarini Abdullah, James McGree, Nicole White, Kerrie Mengersen, Graham Kerr
    http://arxiv.org/abs/1910.01864v1

    • [stat.AP]Usage-Based Vehicle Insurance: Driving Style Factors of Accident Probability and Severity
    Konstantin Korishchenko, Ivan Stankevich, Nikolay Pilnik, Daria Petrova
    http://arxiv.org/abs/1910.00460v2

    • [stat.ME]Algebraic statistics, tables, and networks: The Fienberg advantage
    Elizabeth Gross, Vishesh Karwa, Sonja Petrović
    http://arxiv.org/abs/1910.01692v1

    • [stat.ME]Automating Data Monitoring: Detecting Structural Breaks in Time Series Data Using Bayesian Minimum Description Length
    Yingbo Li, Robert Cezeaux, Di Yu
    http://arxiv.org/abs/1910.01793v1

    • [stat.ME]Function-on-function kriging, with applications to 3D printing of aortic tissues
    Jialei Chen, Simon Mak, V. Roshan Joseph, Chuck Zhang
    http://arxiv.org/abs/1910.01754v1

    • [stat.ME]SIMPLE: Statistical Inference on Membership Profiles in Large Networks
    Jianqing Fan, Yingying Fan, Xiao Han, Jinchi Lv
    http://arxiv.org/abs/1910.01734v1

    • [stat.ME]Streamlined Variational Inference for Linear Mixed Models with Crossed Random Effects
    Marianne Menictas, Gioia Di Credico, Matt P. Wand
    http://arxiv.org/abs/1910.01799v1

    • [stat.ML]Bayesian Optimization for Materials Design with Mixed Quantitative and Qualitative Variables
    Yichi Zhang, Daniel Apley, Wei Chen
    http://arxiv.org/abs/1910.01688v1

    • [stat.ML]Dual Learning Algorithm for Delayed Feedback in Display Advertising
    Yuta Saito, Gota Morishita, Shota Yasui
    http://arxiv.org/abs/1910.01847v1

    • [stat.ML]Simulations evaluating resampling methods for causal discovery: ensemble performance and calibration
    Erich Kummerfeld, Alexander Rix
    http://arxiv.org/abs/1910.02047v1

    • [stat.ML]Sparse Popularity Adjusted Stochastic Block Model
    Majid Noroozi, Ramchandra Rimal, Marianna Pensky
    http://arxiv.org/abs/1910.01931v1