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