cs.AI - 人工智能

    cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.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.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 math.OC - 优化与控制 physics.flu-dyn - 流体动力学 physics.soc-ph - 物理学与社会 q-bio.MN - 分子网络 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]Aplib: Tactical Programming of Intelligent Agents
    • [cs.AI]Comparing Efficiency of Expert Data Aggregation Methods
    • [cs.AI]EDUQA: Educational Domain Question Answering System using Conceptual Network Mapping
    • [cs.AI]Efficient Planning under Partial Observability with Unnormalized Q Functions and Spectral Learning
    • [cs.AI]Investigating Constraint Programming and Hybrid Methods for Real World Industrial Test Laboratory Scheduling
    • [cs.AI]Network Creation Games with Local Information and Edge Swaps
    • [cs.AI]On the Computational Complexity of Multi-Agent Pathfinding on Directed Graphs
    • [cs.AI]Some Considerations and a Benchmark Related to the CNF Property of the Koczy-Hirota Fuzzy Rule Interpolation
    • [cs.CL]A Pre-training Based Personalized Dialogue Generation Model with Persona-sparse Data
    • [cs.CL]A Survey on Why-Type Question Answering Systems
    • [cs.CL]A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling
    • [cs.CL]CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB
    • [cs.CL]Character-based NMT with Transformer
    • [cs.CL]How to Evaluate Word Representations of Informal Domain?
    • [cs.CL]Learning Sparse Sharing Architectures for Multiple Tasks
    • [cs.CL]Learning to Order Sub-questions for Complex Question Answering
    • [cs.CL]Long-span language modeling for speech recognition
    • [cs.CL]Morphological Segmentation Inside-Out
    • [cs.CL]NegBERT: A Transfer Learning Approach for Negation Detection and Scope Resolution
    • [cs.CL]Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding
    • [cs.CL]Prediction of Missing Semantic Relations in Lexical-Semantic Network using Random Forest Classifier
    • [cs.CL]Privacy-Preserving Adversarial Representation Learning in ASR: Reality or Illusion?
    • [cs.CL]RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers
    • [cs.CL]TENER: Adapting Transformer Encoder for Name Entity Recognition
    • [cs.CL]Understanding BERT performance in propaganda analysis
    • [cs.CR]A New Approach: Cognitive Multi-Level Authentication (CMLA) in Nuclear Command and Control
    • [cs.CR]GRuB: Gas-Efficient Blockchain Storage via Workload-Adaptive Data Replication
    • [cs.CV]A Probabilistic Approach for Predicting Landslides by Learning a Self-Aligned Deep Convolutional Model
    • [cs.CV]Comparing pattern sensitivity of a convolutional neural network with an ideal observer and support vector machine
    • [cs.CV]ContamiNet: Detecting Contamination in Municipal Solid Waste
    • [cs.CV]Data-Free Point Cloud Network for 3D Face Recognition
    • [cs.CV]Disentangle, align and fuse for multimodal and zero-shot image segmentation
    • [cs.CV]Equalization Loss for Large Vocabulary Instance Segmentation
    • [cs.CV]Experience-Embedded Visual Foresight
    • [cs.CV]Grouping Capsules Based Different Types
    • [cs.CV]Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research
    • [cs.CV]Multi-hop Convolutions on Weighted Graphs
    • [cs.CV]Pose Guided Attention for Multi-label Fashion Image Classification
    • [cs.CV]Recognizing Facial Expressions of Occluded Faces using Convolutional Neural Networks
    • [cs.CV]Recursive Filter for Space-Variant Variance Reduction
    • [cs.CV]SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning
    • [cs.CV]Trainable Spectrally Initializable Matrix Transformations in Convolutional Neural Networks
    • [cs.CY]A Machine to Machine framework for the charging of Electric Autonomous Vehicles
    • [cs.DC]Fast Stochastic Peer Selection in Proof-of-Stake Protocols
    • [cs.DC]Gathering on Rings for Myopic Asynchronous Robots with Lights
    • [cs.DC]Scalable BFT Consensus Mechanism Through Aggregated Signature Gossip
    • [cs.DC]Throughput Prediction of Asynchronous SGD in TensorFlow
    • [cs.DC]Uniform Partition in Population Protocol Model under Weak Fairness
    • [cs.DL]Building the National Radio Recordings Database: A Big Data Approach to Documenting Audio Heritage
    • [cs.IR]Artist and style exposure bias in collaborative filtering based music recommendations
    • [cs.IR]CROWN: Conversational Passage Ranking by Reasoning over Word Networks
    • [cs.IR]FLEN: Leveraging Field for Scalable CTR Prediction
    • [cs.IR]Music Auto-tagging Using CNNs and Mel-spectrograms With Reduced Frequency and Time Resolution
    • [cs.IR]Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search
    • [cs.IT]0-1 phase transitions in sparse spiked matrix estimation
    • [cs.IT]Channel Estimation and Transmission for Intelligent Reflecting Surface Assisted THz Communications
    • [cs.IT]Chemical Reactions-based Detection Mechanism for Molecular Communications
    • [cs.IT]Exact Amplitude Distributions of Sums of Stochastic Sinusoidals and their Application in Bit Error Rate Analysis
    • [cs.IT]Machine Intelligence at the Edge with Learning Centric Power Allocation
    • [cs.IT]On the Capacity of Channels with Deletions and States
    • [cs.IT]On the Capacity of Massive MIMO With 1-Bit ADCs and DACs at the Receiver and at the Transmitter
    • [cs.IT]Spatial Characterization of Holographic MIMO Channels
    • [cs.IT]Strategic Communication with Side Information at the Decoder
    • [cs.LG]A Capsule Network-based Model for Learning Node Embeddings
    • [cs.LG]A Computing Kernel for Network Binarization on PyTorch
    • [cs.LG]Accelerating Training in Pommerman with Imitation and Reinforcement Learning
    • [cs.LG]Achieving Differential Privacy in Vertically Partitioned Multiparty Learning
    • [cs.LG]Adaptive Probabilistic Vehicle Trajectory Prediction Through Physically Feasible Bayesian Recurrent Neural Network
    • [cs.LG]Combinatorial Optimization by Graph Pointer Networks and Hierarchical Reinforcement Learning
    • [cs.LG]Connecting First and Second Order Recurrent Networks with Deterministic Finite Automata
    • [cs.LG]Deep Generative Models Strike Back! Improving Understanding and Evaluation in Light of Unmet Expectations for OoD Data
    • [cs.LG]Deep Variational Semi-Supervised Novelty Detection
    • [cs.LG]Deep-Aligned Convolutional Neural Network for Skeleton-based Action Recognition and Segmentation
    • [cs.LG]Effects of data ambiguity and cognitive biases on the interpretability of machine learning models in humanitarian decision making
    • [cs.LG]Efficient Fair Principal Component Analysis
    • [cs.LG]Efficient Inverse-Free Algorithms for Extreme Learning Machine Based on the Recursive Matrix Inverse and the Inverse LDL’ Factorization
    • [cs.LG]Efficient Ridge Solution for the Incremental Broad Learning System on Added Nodes by Inverse Cholesky Factorization of a Partitioned Matrix
    • [cs.LG]Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Neural Networks
    • [cs.LG]Evaluating Combinatorial Generalization in Variational Autoencoders
    • [cs.LG]Exploiting Clinically Available Delineations for CNN-based Segmentation in Radiotherapy Treatment Planning
    • [cs.LG]FLO: Fast and Lightweight Hyperparameter Optimization for AutoML
    • [cs.LG]Fairness-Aware Neural Réyni Minimization for Continuous Features
    • [cs.LG]Generating an Explainable ECG Beat Space With Variational Auto-Encoders
    • [cs.LG]Generative adversarial networks (GAN) based efficient sampling of chemical space for inverse design of inorganic materials
    • [cs.LG]Hyper-Sphere Quantization: Communication-Efficient SGD for Federated Learning
    • [cs.LG]Identifying Hidden Buyers in Darknet Markets via Dirichlet Hawkes Process
    • [cs.LG]Iteratively Training Look-Up Tables for Network Quantization
    • [cs.LG]Learning from the Past: Continual Meta-Learning via Bayesian Graph Modeling
    • [cs.LG]Making Good on LSTMs Unfulfilled Promise
    • [cs.LG]Model-Augmented Nearest-Neighbor Estimation of Conditional Mutual Information for Feature Selection
    • [cs.LG]Multi-Step Chord Sequence Prediction Based on Aggregated Multi-Scale Encoder-Decoder Network
    • [cs.LG]On Policy Gradients
    • [cs.LG]On Robustness to Adversarial Examples and Polynomial Optimization
    • [cs.LG]Optimizing Deep Learning Inference on Embedded Systems Through Adaptive Model Selection
    • [cs.LG]Privacy is What We Care About: Experimental Investigation of Federated Learning on Edge Devices
    • [cs.LG]Reinforcement-Learning-Based Variational Quantum Circuits Optimization for Combinatorial Problems
    • [cs.LG]Robust Design of Deep Neural Networks against Adversarial Attacks based on Lyapunov Theory
    • [cs.LG]Robust and Fast Automatic Modulation Classification with CNN under Multipath Fading Channels
    • [cs.LG]SMILES Transformer: Pre-trained Molecular Fingerprint for Low Data Drug Discovery
    • [cs.LG]Semi-supervised Wrapper Feature Selection with Imperfect Labels
    • [cs.LG]Text Mining using Nonnegative Matrix Factorization and Latent Semantic Analysis
    • [cs.LG]Tight Sample Complexity of Learning One-hidden-layer Convolutional Neural Networks
    • [cs.LG]word2ket: Space-efficient Word Embeddings inspired by Quantum Entanglement
    • [cs.MA]LAC-Nav: Collision-Free Mutiagent Navigation Based on The Local Action Cells
    • [cs.NE]Novel Multi-Objectivization Approaches for the Sum-of-the-Parts Combinatorial Optimization Problems
    • [cs.NI]MSDF: A Deep Reinforcement Learning Framework for Service Function Chain Migration
    • [cs.RO]Fractal Impedance for Passive Controllers
    • [cs.RO]Framing Effects on Privacy Concerns about a Home Telepresence Robot
    • [cs.RO]HMTNet:3D Hand Pose Estimation from Single Depth Image Based on Hand Morphological Topology
    • [cs.RO]Mixed-Initiative variable autonomy for remotely operated mobile robots
    • [cs.RO]Object-Centric Task and Motion Planning in Dynamic Environments
    • [cs.RO]Online Replanning in Belief Space for Partially Observable Task and Motion Problems
    • [cs.RO]Prediction of Bottleneck Points for Manipulation Planning in Cluttered Environment using a 3D Convolutional Neural Network
    • [cs.RO]SlingDrone: Mixed Reality System for Pointing and Interaction Using a Single Drone
    • [cs.RO]Tool Substitution with Shape and Material Reasoning Using Dual Neural Networks
    • [cs.RO]Towards Low-Latency High-Bandwidth Control of Quadrotors using Event Cameras
    • [cs.RO]WiredSwarm: High Resolution Haptic Feedback Provided by a Swarm of Drones to the User’s Fingers for VR interaction
    • [cs.SD]Random Projections of Mel-Spectrograms as Low-Level Features for Automatic Music Genre Classification
    • [cs.SD]Using musical relationships between chord labels in automatic chord extraction tasks
    • [cs.SI]A Framework of Transferring Structures Across Large-scale Information Networks
    • [cs.SI]Shorter Distances between Papers over Time are Due to More Cross-Field References and Increased Citation Rate to Higher Impact Papers
    • [eess.AS]’Warriors of the Word’ — Deciphering Lyrical Topics in Music and Their Connection to Audio Feature Dimensions Based on a Corpus of Over 100,000 Metal Songs
    • [eess.AS]Detection of speech events and speaker characteristics through photo-plethysmographic signal neural processing
    • [eess.IV]Automatic Online Quality Control of Synthetic CTs
    • [eess.IV]Merging-ISP: Multi-Exposure High Dynamic Range Image Signal Processing
    • [eess.IV]Visual cryptography in single-pixel imaging
    • [math.OC]A Distributed Online Convex Optimization Algorithm with Improved Dynamic Regret
    • [math.OC]Nonsmooth Optimization over Stiefel Manifold: Riemannian Subgradient Methods
    • [physics.flu-dyn]Multi-Fidelity modeling of Probabilistic Aerodynamic Databases for Use in Aerospace Engineering
    • [physics.soc-ph]Machine learning dynamical phase transitions in complex networks
    • [q-bio.MN]Communication in Plants: Comparison of Multiple Action Potential and Mechanosensitive Signals with Experiments
    • [quant-ph]Optimizing short stabilizer codes for asymmetric channels
    • [stat.AP]A Lattice and Random Intermediate Point Sampling Design for Animal Movement
    • [stat.AP]Bayesian Prediction of Volleyball Sets Using the Truncated Skellam and the Ordered Multinomial Models
    • [stat.AP]Combinatorial Models of Cross-Country Dual Meets: What is a Big Victory?
    • [stat.AP]Gaussian process with derivative information for the analysis of the sunlight adverse effects on color of rock art paintings
    • [stat.ME]A Unified Framework for Causal Inference with Multiple Imputation Using Martingale
    • [stat.ME]Clustered Gaussian process model with an application to solar irradiance emulation
    • [stat.ME]MM-PCA: Integrative Analysis of Multi-group and Multi-view Data
    • [stat.ML]Item Response Theory based Ensemble in Machine Learning
    • [stat.ML]Purifying Interaction Effects with the Functional ANOVA: An Efficient Algorithm for Recovering Identifiable Additive Models
    • [stat.ML]Short-term forecasting of solar irradiance without local telemetry: a generalized model using satellite data
    • [stat.ML]The Bias-Expressivity Trade-off

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    • [cs.AI]Aplib: Tactical Programming of Intelligent Agents
    I. S. W. B. Prasetya
    http://arxiv.org/abs/1911.04710v1

    • [cs.AI]Comparing Efficiency of Expert Data Aggregation Methods
    Sergii Kadenko, Vitaliy Tsyganok
    http://arxiv.org/abs/1911.04888v1

    • [cs.AI]EDUQA: Educational Domain Question Answering System using Conceptual Network Mapping
    Abhishek Agarwal, Nikhil Sachdeva, Raj Kamal Yadav, Vishaal Udandarao, Vrinda Mittal, Anubha Gupta, Abhinav Mathur
    http://arxiv.org/abs/1911.05013v1

    • [cs.AI]Efficient Planning under Partial Observability with Unnormalized Q Functions and Spectral Learning
    Tianyu Li, Bogdan Mazoure, Doina Precup, Guillaume Rabusseau
    http://arxiv.org/abs/1911.05010v1

    • [cs.AI]Investigating Constraint Programming and Hybrid Methods for Real World Industrial Test Laboratory Scheduling
    Tobias Geibinger, Florian Mischek, Nysret Musliu
    http://arxiv.org/abs/1911.04766v1

    • [cs.AI]Network Creation Games with Local Information and Edge Swaps
    Shotaro Yoshimura, Yukiko Yamauchi
    http://arxiv.org/abs/1911.04743v1

    • [cs.AI]On the Computational Complexity of Multi-Agent Pathfinding on Directed Graphs
    Bernhard Nebel
    http://arxiv.org/abs/1911.04871v1

    • [cs.AI]Some Considerations and a Benchmark Related to the CNF Property of the Koczy-Hirota Fuzzy Rule Interpolation
    Maen Alzubi, Szilveszter Kovacs
    http://arxiv.org/abs/1911.05041v1

    • [cs.CL]A Pre-training Based Personalized Dialogue Generation Model with Persona-sparse Data
    Yinhe Zheng, Rongsheng Zhang, Xiaoxi Mao, Minlie Huang
    http://arxiv.org/abs/1911.04700v1

    • [cs.CL]A Survey on Why-Type Question Answering Systems
    Manvi Breja, Sanjay Kumar Jain
    http://arxiv.org/abs/1911.04879v1

    • [cs.CL]A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling
    Qingrong Xia, Zhenghua Li, Min Zhang
    http://arxiv.org/abs/1911.04641v1

    • [cs.CL]CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB
    Holger Schwenk, Guillaume Wenzek, Sergey Edunov, Edouard Grave, Armand Joulin
    http://arxiv.org/abs/1911.04944v1

    • [cs.CL]Character-based NMT with Transformer
    Rohit Gupta, Laurent Besacier, Marc Dymetman, Matthias Gallé
    http://arxiv.org/abs/1911.04997v1

    • [cs.CL]How to Evaluate Word Representations of Informal Domain?
    Yekun Chai, Naomi Saphra, Adam Lopez
    http://arxiv.org/abs/1911.04669v1

    • [cs.CL]Learning Sparse Sharing Architectures for Multiple Tasks
    Tianxiang Sun, Yunfan Shao, Xiaonan Li, Pengfei Liu, Hang Yan, Xipeng Qiu, Xuanjing Huang
    http://arxiv.org/abs/1911.05034v1

    • [cs.CL]Learning to Order Sub-questions for Complex Question Answering
    Yunan Zhang, Xiang Cheng, Yufeng Zhang, Zihan Wang, Zhengqi Fang, Xiaoyan Wang, Zhenya Huang, Chengxiang Zhai
    http://arxiv.org/abs/1911.04065v2

    • [cs.CL]Long-span language modeling for speech recognition
    Sarangarajan Parthasarathy, William Gale, Xie Chen, George Polovets, Shuangyu Chang
    http://arxiv.org/abs/1911.04571v1

    • [cs.CL]Morphological Segmentation Inside-Out
    Ryan Cotterell, Arun Kumar, Hinrich Schütze
    http://arxiv.org/abs/1911.04916v1

    • [cs.CL]NegBERT: A Transfer Learning Approach for Negation Detection and Scope Resolution
    Aditya Khandelwal, Suraj Sawant
    http://arxiv.org/abs/1911.04211v2

    • [cs.CL]Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding
    Yun Tang, Jing Huang, Guangtao Wang, Xiaodong He, Bowen Zhou
    http://arxiv.org/abs/1911.04910v1

    • [cs.CL]Prediction of Missing Semantic Relations in Lexical-Semantic Network using Random Forest Classifier
    Kévin Cousot, Mehdi Mirzapour, Waleed Ragheb
    http://arxiv.org/abs/1911.04759v1

    • [cs.CL]Privacy-Preserving Adversarial Representation Learning in ASR: Reality or Illusion?
    Brij Mohan Lal Srivastava, Aurélien Bellet, Marc Tommasi, Emmanuel Vincent
    http://arxiv.org/abs/1911.04913v1

    • [cs.CL]RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers
    Bailin Wang, Richard Shin, Xiaodong Liu, Oleksandr Polozov, Matthew Richardson
    http://arxiv.org/abs/1911.04942v1

    • [cs.CL]TENER: Adapting Transformer Encoder for Name Entity Recognition
    Hang Yan, Bocao Deng, Xiaonan Li, Xipeng Qiu
    http://arxiv.org/abs/1911.04474v1

    • [cs.CL]Understanding BERT performance in propaganda analysis
    Yiqing Hua
    http://arxiv.org/abs/1911.04525v1

    • [cs.CR]A New Approach: Cognitive Multi-Level Authentication (CMLA) in Nuclear Command and Control
    Aysha, Shabbir, Maryam, Shabbir, Fahad, Ahmad, Muhammad, Rizwan
    http://arxiv.org/abs/1911.04536v1

    • [cs.CR]GRuB: Gas-Efficient Blockchain Storage via Workload-Adaptive Data Replication
    Kai Li, Yuzhe Tang, Qi Zhang, Cheng Xu, Jianliang Xu
    http://arxiv.org/abs/1911.04078v2

    • [cs.CV]A Probabilistic Approach for Predicting Landslides by Learning a Self-Aligned Deep Convolutional Model
    Ainaz Hajimoradlou, Gioachino Roberti, David Poole
    http://arxiv.org/abs/1911.04651v1

    • [cs.CV]Comparing pattern sensitivity of a convolutional neural network with an ideal observer and support vector machine
    Fabian Reith, Brian Wandell
    http://arxiv.org/abs/1911.05055v1

    • [cs.CV]ContamiNet: Detecting Contamination in Municipal Solid Waste
    Khoury Ibrahim, Danielle A. Savage, Addie Schnirel, Paul Intrevado, Yannet Interian
    http://arxiv.org/abs/1911.04583v1

    • [cs.CV]Data-Free Point Cloud Network for 3D Face Recognition
    Ziyu, Zhang, Feipeng, Da, Yi, Yu
    http://arxiv.org/abs/1911.04731v1

    • [cs.CV]Disentangle, align and fuse for multimodal and zero-shot image segmentation
    Agisilaos Chartsias, Giorgos Papanastasiou, Chengjia Wang, Scott Semple, David Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris
    http://arxiv.org/abs/1911.04417v2

    • [cs.CV]Equalization Loss for Large Vocabulary Instance Segmentation
    Jingru Tan, Changbao Wang, Quanquan Li, Junjie Yan
    http://arxiv.org/abs/1911.04692v1

    • [cs.CV]Experience-Embedded Visual Foresight
    Lin Yen-Chen, Maria Bauza, Phillip Isola
    http://arxiv.org/abs/1911.05071v1

    • [cs.CV]Grouping Capsules Based Different Types
    Qiang Ren
    http://arxiv.org/abs/1911.04820v1

    • [cs.CV]Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research
    Krishna Murthy Jatavallabhula, Edward Smith, Jean-Francois Lafleche, Clement Fuji Tsang, Artem Rozantsev, Wenzheng Chen, Tommy Xiang
    http://arxiv.org/abs/1911.05063v1

    • [cs.CV]Multi-hop Convolutions on Weighted Graphs
    Qikui Zhu, Bo Du, Pingkun Yan
    http://arxiv.org/abs/1911.04978v1

    • [cs.CV]Pose Guided Attention for Multi-label Fashion Image Classification
    Beatriz Quintino Ferreira, João P. Costeira, Ricardo G. Sousa, Liang-Yan Gui, João P. Gomes
    http://arxiv.org/abs/1911.05024v1

    • [cs.CV]Recognizing Facial Expressions of Occluded Faces using Convolutional Neural Networks
    Mariana-Iuliana Georgescu, Radu Tudor Ionescu
    http://arxiv.org/abs/1911.04852v1

    • [cs.CV]Recursive Filter for Space-Variant Variance Reduction
    Alexander Zamyatin
    http://arxiv.org/abs/1911.04992v1

    • [cs.CV]SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning
    Yan Wang, Wei-Lun Chao, Kilian Q. Weinberger, Laurens van der Maaten
    http://arxiv.org/abs/1911.04623v1

    • [cs.CV]Trainable Spectrally Initializable Matrix Transformations in Convolutional Neural Networks
    Michele, Alberti, Angela, Botros, Narayan, Schuez, Rolf, Ingold$, Marcus, Liwicki, Mathias, Seuret
    http://arxiv.org/abs/1911.05045v1

    • [cs.CY]A Machine to Machine framework for the charging of Electric Autonomous Vehicles
    Ziyad Elbanna, Ilya Afanasyev, Luiz J. P. Araujo, Rasheed Hussain, Mansur Khazeev, Joseph Lamptey, Manuel Mazzara, Swati Megha, Diksha Moolchandani, Dragos Strugar
    http://arxiv.org/abs/1911.03746v1

    • [cs.DC]Fast Stochastic Peer Selection in Proof-of-Stake Protocols
    Quan Nguyen, Andre Cronje, Michael Kong
    http://arxiv.org/abs/1911.04629v1

    • [cs.DC]Gathering on Rings for Myopic Asynchronous Robots with Lights
    Sayaka Kamei, Anissa Lamani, Fukuhito Ooshita, Sébastien Tixeuil, Koichi Wada
    http://arxiv.org/abs/1911.04757v1

    • [cs.DC]Scalable BFT Consensus Mechanism Through Aggregated Signature Gossip
    Jieyi Long, Ribao Wei
    http://arxiv.org/abs/1911.04698v1

    • [cs.DC]Throughput Prediction of Asynchronous SGD in TensorFlow
    Zhuojin Li, Wumo Yan, Marco Paolieri, Leana Golubchik
    http://arxiv.org/abs/1911.04650v1

    • [cs.DC]Uniform Partition in Population Protocol Model under Weak Fairness
    Hiroto Yasumi, Fukuhito Ooshita, Michiko Inoue
    http://arxiv.org/abs/1911.04678v1

    • [cs.DL]Building the National Radio Recordings Database: A Big Data Approach to Documenting Audio Heritage
    Emily Goodmann, Mark A. Matienzo, Shawn VanCour, William Vanden Dries
    http://arxiv.org/abs/1911.04625v1

    • [cs.IR]Artist and style exposure bias in collaborative filtering based music recommendations
    Andres Ferraro, Dmitry Bogdanov, Xavier Serra, Jason Yoon
    http://arxiv.org/abs/1911.04827v1

    • [cs.IR]CROWN: Conversational Passage Ranking by Reasoning over Word Networks
    Magdalena Kaiser, Rishiraj Saha Roy, Gerhard Weikum
    http://arxiv.org/abs/1911.02850v2

    • [cs.IR]FLEN: Leveraging Field for Scalable CTR Prediction
    Wenqiang Chen, Lizhang Zhan, Yuanlong Ci, Chen Lin
    http://arxiv.org/abs/1911.04690v1

    • [cs.IR]Music Auto-tagging Using CNNs and Mel-spectrograms With Reduced Frequency and Time Resolution
    Andres Ferraro, Dmitry Bogdanov, Jay Ho Jeon, Jason Yoon, Xavier Serra
    http://arxiv.org/abs/1911.04824v1

    • [cs.IR]Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search
    Xinyan Dai, Xiao Yan, Kelvin K. W. Ng, Jie Liu, James Cheng
    http://arxiv.org/abs/1911.04654v1

    • [cs.IT]0-1 phase transitions in sparse spiked matrix estimation
    Jean Barbier, Nicolas Macris
    http://arxiv.org/abs/1911.05030v1

    • [cs.IT]Channel Estimation and Transmission for Intelligent Reflecting Surface Assisted THz Communications
    Boyu Ning, Zhi Chen, Wenrong Chen, Yiming Du
    http://arxiv.org/abs/1911.04719v1

    • [cs.IT]Chemical Reactions-based Detection Mechanism for Molecular Communications
    Trang Ngoc Cao, Vahid Jamali, Wayan Wicke, Phee Lep Yeoh, Nikola Zlatanov, Jamie S Evans, Robert Schober
    http://arxiv.org/abs/1911.04586v1

    • [cs.IT]Exact Amplitude Distributions of Sums of Stochastic Sinusoidals and their Application in Bit Error Rate Analysis
    Y. Maghsoodi, A. Al-Dweik
    http://arxiv.org/abs/1911.04746v1

    • [cs.IT]Machine Intelligence at the Edge with Learning Centric Power Allocation
    Shuai Wang, Yik-Chung Wu, Minghua Xia, Rui Wang, H. Vincent Poor
    http://arxiv.org/abs/1911.04922v1

    • [cs.IT]On the Capacity of Channels with Deletions and States
    Yonglong Li, Vincent Y. F. Tan
    http://arxiv.org/abs/1911.04473v1

    • [cs.IT]On the Capacity of Massive MIMO With 1-Bit ADCs and DACs at the Receiver and at the Transmitter
    Armin Bazrafkan, Nikola Zlatanov
    http://arxiv.org/abs/1911.04694v1

    • [cs.IT]Spatial Characterization of Holographic MIMO Channels
    Andrea Pizzo, Thomas L. Marzetta, Luca Sanguinetti
    http://arxiv.org/abs/1911.04853v1

    • [cs.IT]Strategic Communication with Side Information at the Decoder
    Maël Le Treust, Tristan Tomala
    http://arxiv.org/abs/1911.04950v1

    • [cs.LG]A Capsule Network-based Model for Learning Node Embeddings
    Dai Quoc Nguyen, Tu Dinh Nguyen, Dat Quoc Nguyen, Dinh Phung
    http://arxiv.org/abs/1911.04822v1

    • [cs.LG]A Computing Kernel for Network Binarization on PyTorch
    Xianda Xu, Marco Pedersoli
    http://arxiv.org/abs/1911.04477v1

    • [cs.LG]Accelerating Training in Pommerman with Imitation and Reinforcement Learning
    Hardik Meisheri, Omkar Shelke, Richa Verma, Harshad Khadilkar
    http://arxiv.org/abs/1911.04947v1

    • [cs.LG]Achieving Differential Privacy in Vertically Partitioned Multiparty Learning
    Depeng Xu, Shuhan Yuan, Xintao Wu
    http://arxiv.org/abs/1911.04587v1

    • [cs.LG]Adaptive Probabilistic Vehicle Trajectory Prediction Through Physically Feasible Bayesian Recurrent Neural Network
    Chen Tang, Jianyu Chen, Masayoshi Tomizuka
    http://arxiv.org/abs/1911.04597v1

    • [cs.LG]Combinatorial Optimization by Graph Pointer Networks and Hierarchical Reinforcement Learning
    Qiang Ma, Suwen Ge, Danyang He, Darshan Thaker, Iddo Drori
    http://arxiv.org/abs/1911.04936v1

    • [cs.LG]Connecting First and Second Order Recurrent Networks with Deterministic Finite Automata
    Qinglong Wang, Kaixuan Zhang, Xue Liu, C. Lee Giles
    http://arxiv.org/abs/1911.04644v1

    • [cs.LG]Deep Generative Models Strike Back! Improving Understanding and Evaluation in Light of Unmet Expectations for OoD Data
    John Just, Sambuddha Ghosal
    http://arxiv.org/abs/1911.04699v1

    • [cs.LG]Deep Variational Semi-Supervised Novelty Detection
    Tal Daniel, Thanard Kurutach, Aviv Tamar
    http://arxiv.org/abs/1911.04971v1

    • [cs.LG]Deep-Aligned Convolutional Neural Network for Skeleton-based Action Recognition and Segmentation
    Babak Hosseini, Romain Montagne, Barbara Hammer
    http://arxiv.org/abs/1911.04969v1

    • [cs.LG]Effects of data ambiguity and cognitive biases on the interpretability of machine learning models in humanitarian decision making
    David Paulus, Gerdien de Vries, Bartel Van de Walle
    http://arxiv.org/abs/1911.04787v1

    • [cs.LG]Efficient Fair Principal Component Analysis
    Mohammad Mahdi Kamani, Farzin Haddadpour, Rana Forsati, Mehrdad Mahdavi
    http://arxiv.org/abs/1911.04931v1

    • [cs.LG]Efficient Inverse-Free Algorithms for Extreme Learning Machine Based on the Recursive Matrix Inverse and the Inverse LDL’ Factorization
    Hufei Zhu, Chenghao Wei
    http://arxiv.org/abs/1911.04856v1

    • [cs.LG]Efficient Ridge Solution for the Incremental Broad Learning System on Added Nodes by Inverse Cholesky Factorization of a Partitioned Matrix
    Hufei Zhu, Chenghao Wei
    http://arxiv.org/abs/1911.04872v1

    • [cs.LG]Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Neural Networks
    Aditya Golatkar, Alessandro Achille, Stefano Soatto
    http://arxiv.org/abs/1911.04933v1

    • [cs.LG]Evaluating Combinatorial Generalization in Variational Autoencoders
    Alican Bozkurt, Babak Esmaeili, Dana H. Brooks, Jennifer G. Dy, Jan-Willem van de Meent
    http://arxiv.org/abs/1911.04594v1

    • [cs.LG]Exploiting Clinically Available Delineations for CNN-based Segmentation in Radiotherapy Treatment Planning
    Louis D. van Harten, Jelmer M. Wolterink, Joost J. C. Verhoeff, Ivana Išgum
    http://arxiv.org/abs/1911.04967v1

    • [cs.LG]FLO: Fast and Lightweight Hyperparameter Optimization for AutoML
    Chi Wang, Qingyun Wu
    http://arxiv.org/abs/1911.04706v1

    • [cs.LG]Fairness-Aware Neural Réyni Minimization for Continuous Features
    Vincent Grari, Boris Ruf, Sylvain Lamprier, Marcin Detyniecki
    http://arxiv.org/abs/1911.04929v1

    • [cs.LG]Generating an Explainable ECG Beat Space With Variational Auto-Encoders
    Tom Van Steenkiste, Dirk Deschrijver, Tom Dhaene
    http://arxiv.org/abs/1911.04898v1

    • [cs.LG]Generative adversarial networks (GAN) based efficient sampling of chemical space for inverse design of inorganic materials
    Yabo Dan, Yong Zhao, Xiang Li, Shaobo Li, Ming Hu, Jianjun Hu
    http://arxiv.org/abs/1911.05020v1

    • [cs.LG]Hyper-Sphere Quantization: Communication-Efficient SGD for Federated Learning
    Xinyan Dai, Xiao Yan, Kaiwen Zhou, Kelvin K. W. Ng, James Cheng, Yu Fan
    http://arxiv.org/abs/1911.04655v1

    • [cs.LG]Identifying Hidden Buyers in Darknet Markets via Dirichlet Hawkes Process
    Panpan Zheng, Shuhan Yuan, Xintao Wu, Yubao Wu
    http://arxiv.org/abs/1911.04620v1

    • [cs.LG]Iteratively Training Look-Up Tables for Network Quantization
    Fabien Cardinaux, Stefan Uhlich, Kazuki Yoshiyama, Javier Alonso Garcia, Lukas Mauch, Stephen Tiedemann, Thomas Kemp, Akira Nakamura
    http://arxiv.org/abs/1911.04951v1

    • [cs.LG]Learning from the Past: Continual Meta-Learning via Bayesian Graph Modeling
    Yadan Luo, Zi Huang, Zheng Zhang, Ziwei Wang, Mahsa Baktashmotlagh, Yang Yang
    http://arxiv.org/abs/1911.04695v1

    • [cs.LG]Making Good on LSTMs Unfulfilled Promise
    Daniel Philps, Artur d’Avila Garcez, Tillman Weyde
    http://arxiv.org/abs/1911.04489v1

    • [cs.LG]Model-Augmented Nearest-Neighbor Estimation of Conditional Mutual Information for Feature Selection
    Alan Yang, AmirEmad Ghassami, Maxim Raginsky, Negar Kiyavash, Elyse Rosenbaum
    http://arxiv.org/abs/1911.04628v1

    • [cs.LG]Multi-Step Chord Sequence Prediction Based on Aggregated Multi-Scale Encoder-Decoder Network
    Tristan Carsault, Andrew McLeod, Philippe Esling, Jérôme Nika, Eita Nakamura, Kazuyoshi Yoshii
    http://arxiv.org/abs/1911.04972v1

    • [cs.LG]On Policy Gradients
    Mattis Manfred Kämmerer
    http://arxiv.org/abs/1911.04817v1

    • [cs.LG]On Robustness to Adversarial Examples and Polynomial Optimization
    Pranjal Awasthi, Abhratanu Dutta, Aravindan Vijayaraghavan
    http://arxiv.org/abs/1911.04681v1

    • [cs.LG]Optimizing Deep Learning Inference on Embedded Systems Through Adaptive Model Selection
    Vicent Sanz Marco, Ben Taylor, Zheng Wang, Yehia Elkhatib
    http://arxiv.org/abs/1911.04946v1

    • [cs.LG]Privacy is What We Care About: Experimental Investigation of Federated Learning on Edge Devices
    Anirban Das, Thomas Brunschwiler
    http://arxiv.org/abs/1911.04559v1

    • [cs.LG]Reinforcement-Learning-Based Variational Quantum Circuits Optimization for Combinatorial Problems
    Sami Khairy, Ruslan Shaydulin, Lukasz Cincio, Yuri Alexeev, Prasanna Balaprakash
    http://arxiv.org/abs/1911.04574v1

    • [cs.LG]Robust Design of Deep Neural Networks against Adversarial Attacks based on Lyapunov Theory
    Arash Rahnama, Andre T. Nguyen, Edward Raff
    http://arxiv.org/abs/1911.04636v1

    • [cs.LG]Robust and Fast Automatic Modulation Classification with CNN under Multipath Fading Channels
    Kürşat Tekbıyık, Ali Rıza Ekti, Ali Görçin, Güneş Karabulut Kurt, Cihat Keçeci
    http://arxiv.org/abs/1911.04970v1

    • [cs.LG]SMILES Transformer: Pre-trained Molecular Fingerprint for Low Data Drug Discovery
    Shion Honda, Shoi Shi, Hiroki R. Ueda
    http://arxiv.org/abs/1911.04738v1

    • [cs.LG]Semi-supervised Wrapper Feature Selection with Imperfect Labels
    Vasilii Feofanov, Massih-Reza Amini, Emilie Devijver
    http://arxiv.org/abs/1911.04841v1

    • [cs.LG]Text Mining using Nonnegative Matrix Factorization and Latent Semantic Analysis
    Ali Hassani, Amir Iranmanesh, Najme Mansouri
    http://arxiv.org/abs/1911.04705v1

    • [cs.LG]Tight Sample Complexity of Learning One-hidden-layer Convolutional Neural Networks
    Yuan Cao, Quanquan Gu
    http://arxiv.org/abs/1911.05059v1

    • [cs.LG]word2ket: Space-efficient Word Embeddings inspired by Quantum Entanglement
    Aliakbar Panahi, Seyran Saeedi, Tom Arodz
    http://arxiv.org/abs/1911.04975v1

    • [cs.MA]LAC-Nav: Collision-Free Mutiagent Navigation Based on The Local Action Cells
    Li Ning, Yong Zhang
    http://arxiv.org/abs/1911.04646v1

    • [cs.NE]Novel Multi-Objectivization Approaches for the Sum-of-the-Parts Combinatorial Optimization Problems
    Jialong Shi, Jianyong Sun, Qingfu Zhang
    http://arxiv.org/abs/1911.04658v1

    • [cs.NI]MSDF: A Deep Reinforcement Learning Framework for Service Function Chain Migration
    Ruoyun Chen, Hancheng Lu, Yujiao Lu, Jinxue Liu
    http://arxiv.org/abs/1911.04801v1

    • [cs.RO]Fractal Impedance for Passive Controllers
    Keyhan Kouhkiloui Babarahmati, Carlo Tiseo, Joshua Smith, Hsiu Chin Lin, Mustafa Suphi Erden, Michael Mistry
    http://arxiv.org/abs/1911.04788v1

    • [cs.RO]Framing Effects on Privacy Concerns about a Home Telepresence Robot
    Matthew Rueben, Frank J. Bernieri, Cindy M. Grimm, William D. Smart
    http://arxiv.org/abs/1911.04643v1

    • [cs.RO]HMTNet:3D Hand Pose Estimation from Single Depth Image Based on Hand Morphological Topology
    Weiguo Zhou, Xin Jiang, Chen Chen, Sijia Mei, Yun-Hui Liu
    http://arxiv.org/abs/1911.04930v1

    • [cs.RO]Mixed-Initiative variable autonomy for remotely operated mobile robots
    Manolis Chiou, Nick Hawes, Rustam Stolkin
    http://arxiv.org/abs/1911.04848v1

    • [cs.RO]Object-Centric Task and Motion Planning in Dynamic Environments
    Toki Migimatsu, Jeannette Bohg
    http://arxiv.org/abs/1911.04679v1

    • [cs.RO]Online Replanning in Belief Space for Partially Observable Task and Motion Problems
    Caelan Reed Garrett, Chris Paxton, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Dieter Fox
    http://arxiv.org/abs/1911.04577v1

    • [cs.RO]Prediction of Bottleneck Points for Manipulation Planning in Cluttered Environment using a 3D Convolutional Neural Network
    Indraneel Patil, B. K. Rout, V. Kalaichelvi
    http://arxiv.org/abs/1911.04676v1

    • [cs.RO]SlingDrone: Mixed Reality System for Pointing and Interaction Using a Single Drone
    Evgeny Tsykunov, Roman Ibrahimov, Derek Vasquez, Dzmitry Tsetserukou
    http://arxiv.org/abs/1911.04680v1

    • [cs.RO]Tool Substitution with Shape and Material Reasoning Using Dual Neural Networks
    Nithin Shrivatsav, Lakshmi Nair, Sonia Chernova
    http://arxiv.org/abs/1911.04521v1

    • [cs.RO]Towards Low-Latency High-Bandwidth Control of Quadrotors using Event Cameras
    Rika Sugimoto Dimitrova, Mathias Gehrig, Dario Brescianini, Davide Scaramuzza
    http://arxiv.org/abs/1911.04553v1

    • [cs.RO]WiredSwarm: High Resolution Haptic Feedback Provided by a Swarm of Drones to the User’s Fingers for VR interaction
    Evgeny Tsykunov, Dzmitry Tsetserukou
    http://arxiv.org/abs/1911.04667v1

    • [cs.SD]Random Projections of Mel-Spectrograms as Low-Level Features for Automatic Music Genre Classification
    Juliano Henrique Foleiss, Tiago Fernandes Tavares
    http://arxiv.org/abs/1911.04660v1

    • [cs.SD]Using musical relationships between chord labels in automatic chord extraction tasks
    Tristan Carsault, Jérôme Nika, Philippe Esling
    http://arxiv.org/abs/1911.04973v1

    • [cs.SI]A Framework of Transferring Structures Across Large-scale Information Networks
    Shan Xue, Jie Lu, Guangquan Zhang, Li Xiong
    http://arxiv.org/abs/1911.04665v1

    • [cs.SI]Shorter Distances between Papers over Time are Due to More Cross-Field References and Increased Citation Rate to Higher Impact Papers
    Attila Varga
    http://arxiv.org/abs/1911.04548v1

    • [eess.AS]‘Warriors of the Word’ — Deciphering Lyrical Topics in Music and Their Connection to Audio Feature Dimensions Based on a Corpus of Over 100,000 Metal Songs
    Isabella Czedik-Eysenberg, Oliver Wieczorek, Christoph Reuter
    http://arxiv.org/abs/1911.04952v1

    • [eess.AS]Detection of speech events and speaker characteristics through photo-plethysmographic signal neural processing
    Guillermo Cámbara, Jordi Luque, Mireia Farrús
    http://arxiv.org/abs/1911.04808v1

    • [eess.IV]Automatic Online Quality Control of Synthetic CTs
    Louis D. van Harten, Jelmer M. Wolterink, Joost J. C. Verhoeff, Ivana Išgum
    http://arxiv.org/abs/1911.04986v1

    • [eess.IV]Merging-ISP: Multi-Exposure High Dynamic Range Image Signal Processing
    Prashant Chaudhari, Franziska Schirrmacher, Andreas Maier, Christian Riess, Thomas Köhler
    http://arxiv.org/abs/1911.04762v1

    • [eess.IV]Visual cryptography in single-pixel imaging
    Shuming Jiao, Jun Feng, Yang Gao, Ting Lei, Xiaocong Yuan
    http://arxiv.org/abs/1911.05033v1

    • [math.OC]A Distributed Online Convex Optimization Algorithm with Improved Dynamic Regret
    Yan Zhang, Robert J. Ravier, Michael M. Zavlanos, Vahid Tarokh
    http://arxiv.org/abs/1911.05050v1

    • [math.OC]Nonsmooth Optimization over Stiefel Manifold: Riemannian Subgradient Methods
    Xiao Li, Shixiang Chen, Zengde Deng, Qing Qu, Zhihui Zhu, Anthony Man Cho So
    http://arxiv.org/abs/1911.05047v1

    • [physics.flu-dyn]Multi-Fidelity modeling of Probabilistic Aerodynamic Databases for Use in Aerospace Engineering
    Jayant Mukhopadhaya, Brian T. Whitehead, John F. Quindlen, Juan J. Alonso
    http://arxiv.org/abs/1911.05036v1

    • [physics.soc-ph]Machine learning dynamical phase transitions in complex networks
    Qi Ni, Ming Tang, Ying Liu, Ying-Cheng Lai
    http://arxiv.org/abs/1911.04633v1

    • [q-bio.MN]Communication in Plants: Comparison of Multiple Action Potential and Mechanosensitive Signals with Experiments
    Hamdan Awan, Kareem Zeid, Raviraj S. Adve, Nigel Wallbridge, Carrol Plummer, Andrew W. Eckford
    http://arxiv.org/abs/1911.04895v1

    • [quant-ph]Optimizing short stabilizer codes for asymmetric channels
    Alex Rigby, JC Olivier, Peter Jarvis
    http://arxiv.org/abs/1911.04196v1

    • [stat.AP]A Lattice and Random Intermediate Point Sampling Design for Animal Movement
    Elizabeth Eisenhauer, Ephraim Hanks
    http://arxiv.org/abs/1911.04561v1

    • [stat.AP]Bayesian Prediction of Volleyball Sets Using the Truncated Skellam and the Ordered Multinomial Models
    Ioannis Ntzoufras, Vasilis Palaskas, Sotiris Drikos
    http://arxiv.org/abs/1911.04541v1

    • [stat.AP]Combinatorial Models of Cross-Country Dual Meets: What is a Big Victory?
    Kurt S. Riedel
    http://arxiv.org/abs/1911.05044v1

    • [stat.AP]Gaussian process with derivative information for the analysis of the sunlight adverse effects on color of rock art paintings
    Gabriel Riutort-Mayol, Michael Riis Andersen, Aki Vehtari, José Luis Lerma
    http://arxiv.org/abs/1911.03454v1

    • [stat.ME]A Unified Framework for Causal Inference with Multiple Imputation Using Martingale
    Qian Guan, Shu Yang
    http://arxiv.org/abs/1911.04663v1

    • [stat.ME]Clustered Gaussian process model with an application to solar irradiance emulation
    Chih-Li Sung, Benjamin Haaland, Youngdeok Hwang, Siyuan Lu
    http://arxiv.org/abs/1911.04602v1

    • [stat.ME]MM-PCA: Integrative Analysis of Multi-group and Multi-view Data
    Jonatan Kallus, Patrik Johansson, Sven Nelander, Rebecka Jörnsten
    http://arxiv.org/abs/1911.04927v1

    • [stat.ML]Item Response Theory based Ensemble in Machine Learning
    Ziheng Chen, Hongshik Ahn
    http://arxiv.org/abs/1911.04616v1

    • [stat.ML]Purifying Interaction Effects with the Functional ANOVA: An Efficient Algorithm for Recovering Identifiable Additive Models
    Benjamin Lengerich, Sarah Tan, Chun-Hao Chang, Giles Hooker, Rich Caruana
    http://arxiv.org/abs/1911.04974v1

    • [stat.ML]Short-term forecasting of solar irradiance without local telemetry: a generalized model using satellite data
    Jesus Lago, Karel De Brabandere, Fjo De Ridder, Bart De Schutter
    http://arxiv.org/abs/1911.04932v1

    • [stat.ML]The Bias-Expressivity Trade-off
    Julius Lauw, Dominique Macias, Akshay Trikha, Julia Vendemiatti, George D. Montanez
    http://arxiv.org/abs/1911.04964v1