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.DM - 离散数学 cs.GR - 计算机图形学 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 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 econ.EM - 计量经济学 eess.SP - 信号处理 math.CO - 组合数学 math.OC - 优化与控制 math.ST - 统计理论 nlin.AO - 适应和自组织系统 q-bio.NC - 神经元与认知 quant-ph - 量子物理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cs.AI]A Logical Model for Supporting Social Commonsense Knowledge Acquisition
• [cs.AI]Learning to Answer Ambiguous Questions with Knowledge Graph
• [cs.CL]A Multi-cascaded Model with Data Augmentation for Enhanced Paraphrase Detection in Short Texts
• [cs.CL]A Study of Multilingual Neural Machine Translation
• [cs.CL]Clinical XLNet: Modeling Sequential Clinical Notes and Predicting Prolonged Mechanical Ventilation
• [cs.CL]Coursera Corpus Mining and Multistage Fine-Tuning for Improving Lectures Translation
• [cs.CL]Explicit Sentence Compression for Neural Machine Translation
• [cs.CL]Explicit Sparse Transformer: Concentrated Attention Through Explicit Selection
• [cs.CL]Hybrid MemNet for Extractive Summarization
• [cs.CL]Job Prediction: From Deep Neural Network Models to Applications
• [cs.CL]Language Independent Sentiment Analysis
• [cs.CL]N-gram Statistical Stemmer for Bangla Corpus
• [cs.CL]Synthesising Expressiveness in Peking Opera via Duration Informed Attention Network
• [cs.CL]Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization
• [cs.CL]Visual Agreement Regularized Training for Multi-Modal Machine Translation
• [cs.CR]Anomalous Communications Detection in IoT Networks Using Sparse Autoencoders
• [cs.CR]Grand Challenges of Resilience: Autonomous System Resilience through Design and Runtime Measures
• [cs.CV]A 3D-Deep-Learning-based Augmented Reality Calibration Method for Robotic Environments using Depth Sensor Data
• [cs.CV]A General Framework for Saliency Detection Methods
• [cs.CV]A Review on Intelligent Object Perception Methods Combining Knowledge-based Reasoning and Machine Learning
• [cs.CV]A sparsity augmented probabilistic collaborative representation based classification method
• [cs.CV]An Abstraction Model for Semantic Segmentation Algorithms
• [cs.CV]Category-Level Articulated Object Pose Estimation
• [cs.CV]Combining Deep Learning and Verification for Precise Object Instance Detection
• [cs.CV]Deep Learning for 3D Point Clouds: A Survey
• [cs.CV]Deep Learning-based Vehicle Behaviour Prediction For Autonomous Driving Applications: A Review
• [cs.CV]Extending Multi-Object Tracking systems to better exploit appearance and 3D information
• [cs.CV]HoMM: Higher-order Moment Matching for Unsupervised Domain Adaptation
• [cs.CV]Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
• [cs.CV]Look, Listen, and Act: Towards Audio-Visual Embodied Navigation
• [cs.CV]One Point, One Object: Simultaneous 3D Object Segmentation and 6-DOF Pose Estimation
• [cs.CV]Pointwise Attention-Based Atrous Convolutional Neural Networks
• [cs.CV]Seeing without Looking: Contextual Rescoring of Object Detections for AP Maximization
• [cs.CV]W-PoseNet: Dense Correspondence Regularized Pixel Pair Pose Regression
• [cs.CY]On the Morality of Artificial Intelligence
• [cs.CY]The Windfall Clause: Distributing the Benefits of AI for the Common Good
• [cs.DC]A Two-Phase Scheme for Distributed TDMA Scheduling in WSNs with Flexibility to Trade-off between Schedule Length and Scheduling Time
• [cs.DC]PANTHER: A Programmable Architecture for Neural Network Training Harnessing Energy-efficient ReRAM
• [cs.DC]URSA: Precise Capacity Planning and Contention-aware Scheduling for Public Clouds
• [cs.DM]Worst-Case Polynomial-Time Exact MAP Inference on Discrete Models with Global Dependencies
• [cs.GR]Skeleton Extraction from 3D Point Clouds by Decomposing the Object into Parts
• [cs.HC]Smell Pittsburgh: Engaging Community Citizen Science for Air Quality
• [cs.IR]Convolutional Quantum-Like Language Model with Mutual-Attention for Product Rating Prediction
• [cs.IR]Memory Augmented Graph Neural Networks for Sequential Recommendation
• [cs.IR]Online Music Listening Culture of Kids and Adolescents: Listening Analysis and Music Recommendation Tailored to the Young
• [cs.IR]Report on the SIGIR 2019 Workshop on eCommerce (ECOM19)
• [cs.IT]An Efficient CSI Acquisition Method for Intelligent Reflecting Surface-assisted mmWave Networks
• [cs.IT]Channel Estimation and Hybrid Beamforming for Reconfigurable Intelligent Surfaces Assisted THz Communications
• [cs.IT]Channel Estimation for Intelligent Reflecting Surface Assisted Multiuser Communications: Framework, Algorithms, and Analysis
• [cs.IT]Channel Fingerprint Based Beam Tracking for Millimeter Wave Communications
• [cs.IT]Coverage Analysis of Relay Assisted Millimeter Wave Cellular Networks with Spatial Correlation
• [cs.IT]Deep Transfer Learning Based Downlink Channel Prediction for FDD Massive MIMO Systems
• [cs.IT]Derandomized compressed sensing with nonuniform guarantees for $\ell_1$ recovery
• [cs.IT]Edge Caching with Real-Time Guarantees
• [cs.IT]Efficiency Maximization for UAV-Enabled Mobile Relaying Systems with Laser Charging
• [cs.IT]Joint Annotator-and-Spectrum Allocation in Wireless Networks for Crowd Labelling
• [cs.IT]Multidimensional Variational Line Spectra Estimation
• [cs.IT]On the Coverage and Capacity of Ultra-Dense Networks with Directional Transmissions
• [cs.IT]Part I: Improving Computational Efficiency of Communication for Omniscience
• [cs.IT]Part II: A Practical Approach for Successive Omniscience
• [cs.IT]Power Efficient IRS-Assisted NOMA
• [cs.IT]Social Learning with Beliefs in a Parallel Network
• [cs.IT]Study of Switched Max-Link Relay Selection for Cooperative Multiple-Antenna Systems
• [cs.IT]Two families of Entanglement-assisted quantum MDS codes from constacyclic codes
• [cs.LG]A Comparative Study on Machine Learning Algorithms for the Control of a Wall Following Robot
• [cs.LG]A Study of the Learnability of Relational Properties (Model Counting Meets Machine Learning)
• [cs.LG]Comparative Analysis of Predictive Methods for Early Assessment of Compliance with Continuous Positive Airway Pressure Therapy
• [cs.LG]Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach
• [cs.LG]DeGAN : Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier
• [cs.LG]Efficient Adversarial Training with Transferable Adversarial Examples
• [cs.LG]Efficient Data Analytics on Augmented Similarity Triplets
• [cs.LG]Evolutionary Clustering via Message Passing
• [cs.LG]Fast Generalized Matrix Regression with Applications in Machine Learning
• [cs.LG]Feature-Attention Graph Convolutional Networks for Noise Resilient Learning
• [cs.LG]Graduate Employment Prediction with Bias
• [cs.LG]IS Attention All What You Need? — An Empirical Investigation on Convolution-Based Active Memory and Self-Attention
• [cs.LG]Learning Neural Activations
• [cs.LG]Multi-Label Graph Convolutional Network Representation Learning
• [cs.LG]Nonlinear Markov Clustering by Minimum Curvilinear Sparse Similarity
• [cs.LG]Predicting Attributes of Nodes Using Network Structure
• [cs.LG]Quasi-Newton Trust Region Policy Optimization
• [cs.LG]Quaternion Equivariant Capsule Networks for 3D Point Clouds
• [cs.LG]Self-adaption grey DBSCAN clustering
• [cs.LG]Short Isometric Shapelet Transform for Binary Time Series Classification
• [cs.LG]Split Learning for collaborative deep learning in healthcare
• [cs.LG]The Application of Machine Learning Techniques for Predicting Results in Team Sport: A Review
• [cs.NE]Pruning Deep Neural Networks Architectures with Evolution Strategy
• [cs.NI]Temperature-Aware Virtual Data Center Embedding to Avoid Hot Spots in Data Centers
• [cs.NI]Topology Optimization for 6G Networks: A Network Information-Theoretic Approach
• [cs.RO]Augmented-Reality-Based Visualization of Navigation Data of Mobile Robots on the Microsoft Hololens — Possibilities and Limitations
• [cs.RO]Autonomous Removal of Perspective Distortion for Robotic Elevator Button Recognition
• [cs.RO]Invariant Cubature Kalman Filter for Monocular Visual Inertial Odometry with Line Features
• [cs.RO]Learning by Cheating
• [cs.SD]Deep progressive multi-scale attention for acoustic event classification
• [cs.SD]nnAudio: An on-the-fly GPU Audio to Spectrogram Conversion Toolbox Using 1D Convolution Neural Networks
• [cs.SI]Analysis of Reference and Citation Copying in Evolving Bibliographic Networks
• [cs.SI]Characterizing and Detecting Money Laundering Activities on the Bitcoin Network
• [cs.SI]Combinatorial Trace Method for Network Immunization
• [cs.SI]Competitive Influence Maximization: Integrating Budget Allocation and Seed Selection
• [cs.SI]Ranking Users in Social Networks with Motif-based PageRank
• [econ.EM]Pareto models for risk management
• [eess.SP]Achieving Arbitrary Throughput-Fairness Trade-offs in the Inter Cell Interference Coordination with Fixed Transmit Power Problem
• [math.CO]A group induced four-circulant construction for self-dual codes and new extremal binary self-dual codes
• [math.CO]New binary self-dual codes via a generalization of the four circulant construction
• [math.OC]Asymptotically Optimal Sampling Policy for Quickest Change Detection with Observation-Switching Cost
• [math.OC]Convergence and sample complexity of gradient methods for the model-free linear quadratic regulator problem
• [math.ST]A statistical test for correspondence of texts to the Zipf-Mandelbrot law
• [math.ST]Confounder Selection via Support Intersection
• [math.ST]Minimax Semiparametric Learning With Approximate Sparsity
• [math.ST]Misspecified diffusion models with high-frequency observations and an application to neural networks
• [math.ST]On the identifiability of interaction functions in systems of interacting particles
• [math.ST]Second order Poincaré inequalities and de-biasing arbitrary convex regularizers when $p/n \to γ$
• [math.ST]Universal Rank Inference via Residual Subsampling with Application to Large Networks
• [nlin.AO]Emergence of Network Motifs in Deep Neural Networks
• [q-bio.NC]Structural plasticity on an accelerated analog neuromorphic hardware system
• [quant-ph]Quantum Logic Gate Synthesis as a Markov Decision Process
• [stat.AP]A general statistical model for waiting times until collapse of a system
• [stat.AP]Area-covering postprocessing of ensemble precipitation forecasts using topographical and seasonal conditions
• [stat.AP]Bayesian joint modeling of chemical structure and dose response curves
• [stat.AP]Multi-Site High-Frequency Stochastic Precipitation Generator Using Censored Skew-Symmetric Distributions
• [stat.AP]Quantifying the Trendiness of Trends
• [stat.CO]A Simple Correction Procedure for High-Dimensional General Linear Models with Measurement Error
• [stat.CO]Inverses of Matern Covariances on Grids
• [stat.ME]A further result on the aging properties of an extended additive hazard model
• [stat.ME]An efficient penalized estimation approach for a semi-parametric linear transformation model with interval-censored data
• [stat.ME]Communication-Efficient Integrative Regression in High-Dimensions
• [stat.ME]Spatio-Temporal Random Partition Models
• [stat.ML]Composable Effects for Flexible and Accelerated Probabilistic Programming in NumPyro
• [stat.ML]Learning with Wasserstein barycenters and applications
• [stat.ML]Projection pursuit based on Gaussian mixtures and evolutionary algorithms
• [stat.ML]Statistical Agnostic Mapping: a Framework in Neuroimaging based on Concentration Inequalities
• [stat.ML]The Chi-Square Test of Distance Correlation
·····································
• [cs.AI]A Logical Model for Supporting Social Commonsense Knowledge Acquisition
Zhenzhen Gu, Cungen Cao, Ya Wang, Yuefei Sui
http://arxiv.org/abs/1912.11599v1
• [cs.AI]Learning to Answer Ambiguous Questions with Knowledge Graph
Yikai Zhu, Jianhao Shen, Ming Zhang
http://arxiv.org/abs/1912.11668v1
• [cs.CL]A Multi-cascaded Model with Data Augmentation for Enhanced Paraphrase Detection in Short Texts
Muhammad Haroon Shakeel, Asim Karim, Imdadullah Khan
http://arxiv.org/abs/1912.12068v1
• [cs.CL]A Study of Multilingual Neural Machine Translation
Xu Tan, Yichong Leng, Jiale Chen, Yi Ren, Tao Qin, Tie-Yan Liu
http://arxiv.org/abs/1912.11625v1
• [cs.CL]Clinical XLNet: Modeling Sequential Clinical Notes and Predicting Prolonged Mechanical Ventilation
Kexin Huang, Abhishek Singh, Sitong Chen, Edward T. Moseley, Chih-ying Deng, Naomi George, Charlotta Lindvall
http://arxiv.org/abs/1912.11975v1
• [cs.CL]Coursera Corpus Mining and Multistage Fine-Tuning for Improving Lectures Translation
Haiyue Song, Raj Dabre, Atsushi Fujita, Sadao Kurohashi
http://arxiv.org/abs/1912.11739v1
• [cs.CL]Explicit Sentence Compression for Neural Machine Translation
Zuchao Li, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Zhuosheng Zhang, Hai Zhao
http://arxiv.org/abs/1912.11980v1
• [cs.CL]Explicit Sparse Transformer: Concentrated Attention Through Explicit Selection
Guangxiang Zhao, Junyang Lin, Zhiyuan Zhang, Xuancheng Ren, Qi Su, Xu Sun
http://arxiv.org/abs/1912.11637v1
• [cs.CL]Hybrid MemNet for Extractive Summarization
Abhishek Kumar Singh, Manish Gupta, Vasudeva Varma
http://arxiv.org/abs/1912.11701v1
• [cs.CL]Job Prediction: From Deep Neural Network Models to Applications
Tin Van Huynh, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen, Anh Gia-Tuan Nguyen
http://arxiv.org/abs/1912.12214v1
• [cs.CL]Language Independent Sentiment Analysis
Muhammad Haroon Shakeel, Turki Alghamidi, Safi Faizullah, Imdadullah Khan
http://arxiv.org/abs/1912.11973v1
• [cs.CL]N-gram Statistical Stemmer for Bangla Corpus
Rabeya Sadia, Md Ataur Rahman, Md Hanif Seddiqui
http://arxiv.org/abs/1912.11612v1
• [cs.CL]Synthesising Expressiveness in Peking Opera via Duration Informed Attention Network
Yusong Wu, Shengchen Li, Chengzhu Yu, Heng Lu, Chao Weng, Liqiang Zhang, Dong Yu
http://arxiv.org/abs/1912.12010v1
• [cs.CL]Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization
Abhishek Kumar Singh, Manish Gupta, Vasudeva Varma
http://arxiv.org/abs/1912.11688v1
• [cs.CL]Visual Agreement Regularized Training for Multi-Modal Machine Translation
Pengcheng Yang, Boxing Chen, Pei Zhang, Xu Sun
http://arxiv.org/abs/1912.12014v1
• [cs.CR]Anomalous Communications Detection in IoT Networks Using Sparse Autoencoders
Mustafizur Rahman Shahid, Gregory Blanc, Zonghua Zhang, Hervé Debar
http://arxiv.org/abs/1912.11831v1
• [cs.CR]Grand Challenges of Resilience: Autonomous System Resilience through Design and Runtime Measures
Saurabh Bagchi, Vaneet Aggarwal, Somali Chaterji, Fred Douglis, Aly El Gamal, Jiawei Han, Brian J. Henz, Hank Hoffmann, Suman Jana, Milind Kulkarni, Felix Xiaozhu Lin, Karen Marais, Prateek Mittal, Shaoshuai Mou, Xiaokang Qiu, Gesualdo Scutari
http://arxiv.org/abs/1912.11598v1
• [cs.CV]A 3D-Deep-Learning-based Augmented Reality Calibration Method for Robotic Environments using Depth Sensor Data
Linh Kästner, Vlad Catalin Frasineanu, Jens Lambrecht
http://arxiv.org/abs/1912.12101v1
• [cs.CV]A General Framework for Saliency Detection Methods
Fateme Mostafaie, Zahra Nabizadeh, Nader Karimi, Shadrokh Samavi
http://arxiv.org/abs/1912.12027v1
• [cs.CV]A Review on Intelligent Object Perception Methods Combining Knowledge-based Reasoning and Machine Learning
Filippos Gouidis, Alexandros Vassiliades, Theodore Patkos, Antonis Argyros, Nick Bassiliades, Dimitris Plexousakis
http://arxiv.org/abs/1912.11861v1
• [cs.CV]A sparsity augmented probabilistic collaborative representation based classification method
Xiao-Yun Cai, He-Feng Yin
http://arxiv.org/abs/1912.12044v1
• [cs.CV]An Abstraction Model for Semantic Segmentation Algorithms
Reihaneh Teymoori, Zahra Nabizadeh, Nader Karimi, Shadrokh Samavi
http://arxiv.org/abs/1912.11995v1
• [cs.CV]Category-Level Articulated Object Pose Estimation
Xiaolong Li, He Wang, Li Yi, Leonidas Guibas, A. Lynn Abbott, Shuran Song
http://arxiv.org/abs/1912.11913v1
• [cs.CV]Combining Deep Learning and Verification for Precise Object Instance Detection
Siddharth Ancha, Junyu Nan, David Held
http://arxiv.org/abs/1912.12270v1
• [cs.CV]Deep Learning for 3D Point Clouds: A Survey
Yulan Guo, Hanyun Wang, Qingyong Hu, Hao Liu, Li Liu, Mohammed Bennamoun
http://arxiv.org/abs/1912.12033v1
• [cs.CV]Deep Learning-based Vehicle Behaviour Prediction For Autonomous Driving Applications: A Review
Sajjad Mozaffari, Omar Y. Al-Jarrah, Mehrdad Dianati, Paul Jennings, Alexandros Mouzakitis
http://arxiv.org/abs/1912.11676v1
• [cs.CV]Extending Multi-Object Tracking systems to better exploit appearance and 3D information
Kanchana Ranasinghe, Sahan Liyanaarachchi, Harsha Ranasinghe, Mayuka Jayawardhana
http://arxiv.org/abs/1912.11651v1
• [cs.CV]HoMM: Higher-order Moment Matching for Unsupervised Domain Adaptation
Chao Chen, Zhihang Fu, Zhihong Chen, Sheng Jin, Zhaowei Cheng, Xinyu Jin, Xian-Sheng Hua
http://arxiv.org/abs/1912.11976v1
• [cs.CV]Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
Hao Tang, Dan Xu, Yan Yan, Philip H. S. Torr, Nicu Sebe
http://arxiv.org/abs/1912.12215v1
• [cs.CV]Look, Listen, and Act: Towards Audio-Visual Embodied Navigation
Chuang Gan, Yiwei Zhang, Jiajun Wu, Boqing Gong, Joshua B. Tenenbaum
http://arxiv.org/abs/1912.11684v1
• [cs.CV]One Point, One Object: Simultaneous 3D Object Segmentation and 6-DOF Pose Estimation
Hongsen Liu, Yang Cong, Yandong Tang
http://arxiv.org/abs/1912.12095v1
• [cs.CV]Pointwise Attention-Based Atrous Convolutional Neural Networks
Mobina Mahdavi, Fahimeh Fooladgar, Shohreh Kasaei
http://arxiv.org/abs/1912.12082v1
• [cs.CV]Seeing without Looking: Contextual Rescoring of Object Detections for AP Maximization
Lourenço V. Pato, Renato Negrinho, Pedro M. Q. Aguiar
http://arxiv.org/abs/1912.12290v1
• [cs.CV]W-PoseNet: Dense Correspondence Regularized Pixel Pair Pose Regression
Zelin Xu, Ke Chen, Kui Jia
http://arxiv.org/abs/1912.11888v1
• [cs.CY]On the Morality of Artificial Intelligence
Alexandra Luccioni, Yoshua Bengio
http://arxiv.org/abs/1912.11945v1
• [cs.CY]The Windfall Clause: Distributing the Benefits of AI for the Common Good
Cullen O’Keefe, Peter Cihon, Ben Garfinkel, Carrick Flynn, Jade Leung, Allan Dafoe
http://arxiv.org/abs/1912.11595v1
• [cs.DC]A Two-Phase Scheme for Distributed TDMA Scheduling in WSNs with Flexibility to Trade-off between Schedule Length and Scheduling Time
Ashutosh Bhatia, R. C. Hansdah
http://arxiv.org/abs/1912.12039v1
• [cs.DC]PANTHER: A Programmable Architecture for Neural Network Training Harnessing Energy-efficient ReRAM
Aayush Ankit, Izzat El Hajj, Sai Rahul Chalamalasetti, Sapan Agarwal, Matthew Marinella, Martin Foltin, John Paul Strachan, Dejan Milojicic, Wen-mei Hwu, Kaushik Roy
http://arxiv.org/abs/1912.11516v1
• [cs.DC]URSA: Precise Capacity Planning and Contention-aware Scheduling for Public Clouds
Ningxin Zheng, Quan Chen, Yong Yang, Wei Zhang, Jin Li, Wenli Zheng, Minyi Guo
http://arxiv.org/abs/1912.11963v1
• [cs.DM]Worst-Case Polynomial-Time Exact MAP Inference on Discrete Models with Global Dependencies
Alexander Bauer, Shinichi Nakajima
http://arxiv.org/abs/1912.12090v1
• [cs.GR]Skeleton Extraction from 3D Point Clouds by Decomposing the Object into Parts
Vijai Jayadevan, Edward Delp, Zygmunt Pizlo
http://arxiv.org/abs/1912.11932v1
• [cs.HC]Smell Pittsburgh: Engaging Community Citizen Science for Air Quality
Yen-Chia Hsu, Jennifer Cross, Paul Dille, Michael Tasota, Beatrice Dias, Randy Sargent, Ting-Hao, Huang, Illah Nourbakhsh
http://arxiv.org/abs/1912.11936v1
• [cs.IR]Convolutional Quantum-Like Language Model with Mutual-Attention for Product Rating Prediction
Qing Ping, Chaomei Chen
http://arxiv.org/abs/1912.11720v1
• [cs.IR]Memory Augmented Graph Neural Networks for Sequential Recommendation
Chen Ma, Liheng Ma, Yingxue Zhang, Jianing Sun, Xue Liu, Mark Coates
http://arxiv.org/abs/1912.11730v1
• [cs.IR]Online Music Listening Culture of Kids and Adolescents: Listening Analysis and Music Recommendation Tailored to the Young
Markus Schedl, Christine Bauer
http://arxiv.org/abs/1912.11564v1
• [cs.IR]Report on the SIGIR 2019 Workshop on eCommerce (ECOM19)
Jon Degenhardt, Surya Kallumadi, Utkarsh Porwal, Andrew Trotman
http://arxiv.org/abs/1912.12282v1
• [cs.IT]An Efficient CSI Acquisition Method for Intelligent Reflecting Surface-assisted mmWave Networks
Yaoshen Cui, Haifan Yin
http://arxiv.org/abs/1912.12076v1
• [cs.IT]Channel Estimation and Hybrid Beamforming for Reconfigurable Intelligent Surfaces Assisted THz Communications
Boyu Ning, Zhi Chen, Wenrong Chen, Yiming Du, Jun Fang
http://arxiv.org/abs/1912.11662v1
• [cs.IT]Channel Estimation for Intelligent Reflecting Surface Assisted Multiuser Communications: Framework, Algorithms, and Analysis
Zhaorui Wang, Liang Liu, Shuguang Cui
http://arxiv.org/abs/1912.11783v1
• [cs.IT]Channel Fingerprint Based Beam Tracking for Millimeter Wave Communications
Ruichen Deng, Sheng Chen, Sheng Zhou, Zhisheng Niu, Wei Zhang
http://arxiv.org/abs/1912.11578v1
• [cs.IT]Coverage Analysis of Relay Assisted Millimeter Wave Cellular Networks with Spatial Correlation
Simin Xu, Nan Yang, Biao He, Hamid Jafarkhani
http://arxiv.org/abs/1912.12096v1
• [cs.IT]Deep Transfer Learning Based Downlink Channel Prediction for FDD Massive MIMO Systems
Yuwen Yang, Feifei Gao, Zhimeng Zhong, Bo Ai, Ahmed Alkhateeb
http://arxiv.org/abs/1912.12265v1
• [cs.IT]Derandomized compressed sensing with nonuniform guarantees for $\ell_1$ recovery
Charles Clum, Dustin G. Mixon
http://arxiv.org/abs/1912.12045v1
• [cs.IT]Edge Caching with Real-Time Guarantees
Le Yang, Yi Zhong, Fu-Chun Zheng, Shi Jin
http://arxiv.org/abs/1912.11847v1
• [cs.IT]Efficiency Maximization for UAV-Enabled Mobile Relaying Systems with Laser Charging
Ming-Min Zhao, Qingjiang Shi, Min-Jian Zhao
http://arxiv.org/abs/1912.11838v1
• [cs.IT]Joint Annotator-and-Spectrum Allocation in Wireless Networks for Crowd Labelling
Xiaoyang Li, Guangxu Zhu, Kaiming Shen, Wei Yu, Yi Gong, Kaibin Huang
http://arxiv.org/abs/1912.11678v1
• [cs.IT]Multidimensional Variational Line Spectra Estimation
Qi Zhang, Jiang Zhu, Ning Zhang, Zhiwei Xu
http://arxiv.org/abs/1912.11759v1
• [cs.IT]On the Coverage and Capacity of Ultra-Dense Networks with Directional Transmissions
Yining Xu, Sheng Zhou
http://arxiv.org/abs/1912.11576v1
• [cs.IT]Part I: Improving Computational Efficiency of Communication for Omniscience
Ni Ding, Parastoo Sadeghi, Thierry Rakotoarivelo
http://arxiv.org/abs/1912.11808v1
• [cs.IT]Part II: A Practical Approach for Successive Omniscience
Ni Ding, Parastoo Sadeghi, Thierry Rakotoarivelo
http://arxiv.org/abs/1912.11814v1
• [cs.IT]Power Efficient IRS-Assisted NOMA
Jianyue Zhu, Yongming Huang, Jiaheng Wang, Keivan Navaie, Zhiguo Ding
http://arxiv.org/abs/1912.11768v1
• [cs.IT]Social Learning with Beliefs in a Parallel Network
Daewon Seo, Ravi Kiran Raman, Lav R. Varshney
http://arxiv.org/abs/1912.12284v1
• [cs.IT]Study of Switched Max-Link Relay Selection for Cooperative Multiple-Antenna Systems
F. L. Duarte, R. C. de Lamare
http://arxiv.org/abs/1912.11956v1
• [cs.IT]Two families of Entanglement-assisted quantum MDS codes from constacyclic codes
Liangdong Lu, Wenping Ma, Luobin Guo
http://arxiv.org/abs/1912.12031v1
• [cs.LG]A Comparative Study on Machine Learning Algorithms for the Control of a Wall Following Robot
Issam Hammad, Kamal El-Sankary, Jason Gu
http://arxiv.org/abs/1912.11856v1
• [cs.LG]A Study of the Learnability of Relational Properties (Model Counting Meets Machine Learning)
Muhammad Usman, Wenxi Wang, Kaiyuan Wang, Marko Vasic, Haris Vikalo, Sarfraz Khurshid
http://arxiv.org/abs/1912.11580v1
• [cs.LG]Comparative Analysis of Predictive Methods for Early Assessment of Compliance with Continuous Positive Airway Pressure Therapy
Xavier Rafael-Palou, Cecilia Turino, Alexander Steblin, Manuel Sánchez-de-la-Torre, Ferran Barbé, Eloisa Vargiu
http://arxiv.org/abs/1912.12116v1
• [cs.LG]Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach
Jun Wang, Hefu Zhang, Qi Liu, Zhen Pan, Hanqing Tao
http://arxiv.org/abs/1912.12016v1
• [cs.LG]DeGAN : Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier
Sravanti Addepalli, Gaurav Kumar Nayak, Anirban Chakraborty, R. Venkatesh Babu
http://arxiv.org/abs/1912.11960v1
• [cs.LG]Efficient Adversarial Training with Transferable Adversarial Examples
Haizhong Zheng, Ziqi Zhang, Juncheng Gu, Honglak Lee, Atul Prakash
http://arxiv.org/abs/1912.11969v1
• [cs.LG]Efficient Data Analytics on Augmented Similarity Triplets
Muhammad Ahmad, Muhammad Haroon Shakeel, Sarwan Ali, Imdadullah Khan, Arif Zaman, Asim Karim
http://arxiv.org/abs/1912.12064v1
• [cs.LG]Evolutionary Clustering via Message Passing
Natalia M. Arzeno, Haris Vikalo
http://arxiv.org/abs/1912.11970v1
• [cs.LG]Fast Generalized Matrix Regression with Applications in Machine Learning
Haishan Ye, Shusen Wang, Zhihua Zhang, Tong Zhang
http://arxiv.org/abs/1912.12008v1
• [cs.LG]Feature-Attention Graph Convolutional Networks for Noise Resilient Learning
Min Shi, Yufei Tang, Xingquan Zhu, Jianxun Liu
http://arxiv.org/abs/1912.11755v1
• [cs.LG]Graduate Employment Prediction with Bias
Teng Guo, Feng Xia, Shihao Zhen, Xiaomei Bai, Dongyu Zhang, Zitao Liu, Jiliang Tang
http://arxiv.org/abs/1912.12012v1
• [cs.LG]IS Attention All What You Need? — An Empirical Investigation on Convolution-Based Active Memory and Self-Attention
Thomas Dowdell, Hongyu Zhang
http://arxiv.org/abs/1912.11959v1
• [cs.LG]Learning Neural Activations
Fayyaz ul Amir Afsar Minhas, Amina Asif
http://arxiv.org/abs/1912.12187v1
• [cs.LG]Multi-Label Graph Convolutional Network Representation Learning
Min Shi, Yufei Tang, Xingquan Zhu, Jianxun Liu
http://arxiv.org/abs/1912.11757v1
• [cs.LG]Nonlinear Markov Clustering by Minimum Curvilinear Sparse Similarity
C. Duran, A. Acevedo, S. Ciucci, A. Muscoloni, CV. Cannistraci
http://arxiv.org/abs/1912.12211v1
• [cs.LG]Predicting Attributes of Nodes Using Network Structure
Sarwan Ali, Muhammad Haroon Shakeel, Imdadullah Khan, Safiullah Faizullah, Muhammad Asad Khan
http://arxiv.org/abs/1912.12264v1
• [cs.LG]Quasi-Newton Trust Region Policy Optimization
Devesh Jha, Arvind Raghunathan, Diego Romeres
http://arxiv.org/abs/1912.11912v1
• [cs.LG]Quaternion Equivariant Capsule Networks for 3D Point Clouds
Yongheng Zhao, Tolga Birdal, Jan Eric Lenssen, Emanuele Menegatti, Leonidas Guibas, Federico Tombari
http://arxiv.org/abs/1912.12098v1
• [cs.LG]Self-adaption grey DBSCAN clustering
Shizhan Lu
http://arxiv.org/abs/1912.11477v1
• [cs.LG]Short Isometric Shapelet Transform for Binary Time Series Classification
Weibo Shu, Yaqiang Yao, Huanhuan Chen
http://arxiv.org/abs/1912.11982v1
• [cs.LG]Split Learning for collaborative deep learning in healthcare
Maarten G. Poirot, Praneeth Vepakomma, Ken Chang, Jayashree Kalpathy-Cramer, Rajiv Gupta, Ramesh Raskar
http://arxiv.org/abs/1912.12115v1
• [cs.LG]The Application of Machine Learning Techniques for Predicting Results in Team Sport: A Review
Rory Bunker, Teo Susnjak
http://arxiv.org/abs/1912.11762v1
• [cs.NE]Pruning Deep Neural Networks Architectures with Evolution Strategy
Francisco Erivaldo Fernandes Junior, Gary G. Yen
http://arxiv.org/abs/1912.11527v1
• [cs.NI]Temperature-Aware Virtual Data Center Embedding to Avoid Hot Spots in Data Centers
Chao Guo, Kai Xu, Gangxiang Shen, Moshe Zukerman
http://arxiv.org/abs/1912.11818v1
• [cs.NI]Topology Optimization for 6G Networks: A Network Information-Theoretic Approach
Abdulkadir Celik, Anas Chaaban, Basem Shihada, Mohamed-Slim Alouini
http://arxiv.org/abs/1912.11498v1
• [cs.RO]Augmented-Reality-Based Visualization of Navigation Data of Mobile Robots on the Microsoft Hololens — Possibilities and Limitations
Linh Kästner, Jens Lambrecht
http://arxiv.org/abs/1912.12109v1
• [cs.RO]Autonomous Removal of Perspective Distortion for Robotic Elevator Button Recognition
Delong Zhu, Jianbang Liu, Nachuan Ma, Zhe Min, Max Q. -H. Meng
http://arxiv.org/abs/1912.11774v1
• [cs.RO]Invariant Cubature Kalman Filter for Monocular Visual Inertial Odometry with Line Features
Deli Yan, Chunhui Wu, Weiming Wang, Yu Song, Shaohua Li
http://arxiv.org/abs/1912.11749v1
• [cs.RO]Learning by Cheating
Dian Chen, Brady Zhou, Vladlen Koltun, Philipp Krähenbühl
http://arxiv.org/abs/1912.12294v1
• [cs.SD]Deep progressive multi-scale attention for acoustic event classification
Xugang Lu, Peng Shen, Sheng Li, Yu Tsao, Hisashi Kawai
http://arxiv.org/abs/1912.12011v1
• [cs.SD]nnAudio: An on-the-fly GPU Audio to Spectrogram Conversion Toolbox Using 1D Convolution Neural Networks
Kin Wai Cheuk, Hans Anderson, Kat Agres, Dorien Herremans
http://arxiv.org/abs/1912.12055v1
• [cs.SI]Analysis of Reference and Citation Copying in Evolving Bibliographic Networks
Pradumn Kumar Pandey, Mayank Singh, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti
http://arxiv.org/abs/1912.11894v1
• [cs.SI]Characterizing and Detecting Money Laundering Activities on the Bitcoin Network
Yining Hu, Suranga Seneviratne, Kanchana Thilakarathna, Kensuke Fukuda, Aruna Seneviratne
http://arxiv.org/abs/1912.12060v1
• [cs.SI]Combinatorial Trace Method for Network Immunization
Muhammad Ahmad, Sarwan Ali, Juvaria Tariq, Imdadullah Khan, Mudassir Shabbir, Arif Zaman
http://arxiv.org/abs/1912.12070v1
• [cs.SI]Competitive Influence Maximization: Integrating Budget Allocation and Seed Selection
Amirhossein Ansari, Masoud Dadgar, Ali Hamzeh, Jörg Schlötterer, Michael Granitzer
http://arxiv.org/abs/1912.12283v1
• [cs.SI]Ranking Users in Social Networks with Motif-based PageRank
Huan Zhao, Xiaogang Xu, Yangqiu Song, Dik Lun Lee, Zhao Chen, Han Gao
http://arxiv.org/abs/1912.11817v1
• [econ.EM]Pareto models for risk management
Arthur Charpentier, Emmanuel Flachaire
http://arxiv.org/abs/1912.11736v1
• [eess.SP]Achieving Arbitrary Throughput-Fairness Trade-offs in the Inter Cell Interference Coordination with Fixed Transmit Power Problem
Vaibhav Kumar Gupta, Gaurav S. Kasbekar
http://arxiv.org/abs/1912.12001v1
• [math.CO]A group induced four-circulant construction for self-dual codes and new extremal binary self-dual codes
Joe Gildea, Abidin Kaya, Alexander Tylyshchak, Bahattin Yildiz
http://arxiv.org/abs/1912.11758v1
• [math.CO]New binary self-dual codes via a generalization of the four circulant construction
Joe Gildea, Abidin Kaya, Bahattin Yildiz
http://arxiv.org/abs/1912.11754v1
• [math.OC]Asymptotically Optimal Sampling Policy for Quickest Change Detection with Observation-Switching Cost
Tze Siong Lau, Wee Peng Tay
http://arxiv.org/abs/1912.11693v1
• [math.OC]Convergence and sample complexity of gradient methods for the model-free linear quadratic regulator problem
Hesameddin Mohammadi, Armin Zare, Mahdi Soltanolkotabi, Mihailo R. Jovanović
http://arxiv.org/abs/1912.11899v1
• [math.ST]A statistical test for correspondence of texts to the Zipf-Mandelbrot law
Anik Chakrabarty, Mikhail Chebunin, Artyom Kovalevskii, Ilya Pupyshev, Natalia Zakrevskaya, Qianqian Zhou
http://arxiv.org/abs/1912.11600v1
• [math.ST]Confounder Selection via Support Intersection
Shinyuu Lee, Yuru Zhu
http://arxiv.org/abs/1912.11652v1
• [math.ST]Minimax Semiparametric Learning With Approximate Sparsity
Jelena Bradic, Victor Chernozhukov, Whitney K. Newey, Yinchu Zhu
http://arxiv.org/abs/1912.12213v1
• [math.ST]Misspecified diffusion models with high-frequency observations and an application to neural networks
Teppei Ogihara
http://arxiv.org/abs/1912.11832v1
• [math.ST]On the identifiability of interaction functions in systems of interacting particles
Zhongyang Li, Fei Lu, Mauro Maggioni, Sui Tang, Cheng Zhang
http://arxiv.org/abs/1912.11965v1
• [math.ST]Second order Poincaré inequalities and de-biasing arbitrary convex regularizers when $p/n \to γ$
Pierre C Bellec, Cun-Hui Zhang
http://arxiv.org/abs/1912.11943v1
• [math.ST]Universal Rank Inference via Residual Subsampling with Application to Large Networks
Xiao Han, Qing Yang, Yingying Fan
http://arxiv.org/abs/1912.11583v1
• [nlin.AO]Emergence of Network Motifs in Deep Neural Networks
Matteo Zambra, Alberto Testolin, Amos Maritan
http://arxiv.org/abs/1912.12244v1
• [q-bio.NC]Structural plasticity on an accelerated analog neuromorphic hardware system
Sebastian Billaudelle, Benjamin Cramer, Mihai A. Petrovici, Korbinian Schreiber, David Kappel, Johannes Schemmel, Karlheinz Meier
http://arxiv.org/abs/1912.12047v1
• [quant-ph]Quantum Logic Gate Synthesis as a Markov Decision Process
M. Sohaib Alam
http://arxiv.org/abs/1912.12002v1
• [stat.AP]A general statistical model for waiting times until collapse of a system
Vivianne Olguín-Arias, Sergio Davis, Gonzalo Gutiérrez
http://arxiv.org/abs/1912.12275v1
• [stat.AP]Area-covering postprocessing of ensemble precipitation forecasts using topographical and seasonal conditions
Lea Friedli, David Ginsbourger, Jonas Bhend
http://arxiv.org/abs/1912.11827v1
• [stat.AP]Bayesian joint modeling of chemical structure and dose response curves
Kelly R. Moran, David Dunson, Amy H. Herring
http://arxiv.org/abs/1912.12228v1
• [stat.AP]Multi-Site High-Frequency Stochastic Precipitation Generator Using Censored Skew-Symmetric Distributions
Yuxiao Li, Ying Sun
http://arxiv.org/abs/1912.11833v1
• [stat.AP]Quantifying the Trendiness of Trends
Andreas Kryger Jensen, Claus Thorn Ekstrøm
http://arxiv.org/abs/1912.11848v1
• [stat.CO]A Simple Correction Procedure for High-Dimensional General Linear Models with Measurement Error
Michael Byrd, Monnie McGee
http://arxiv.org/abs/1912.11740v1
• [stat.CO]Inverses of Matern Covariances on Grids
Joseph Guinness
http://arxiv.org/abs/1912.11914v1
• [stat.ME]A further result on the aging properties of an extended additive hazard model
Morteza Raeisi, Gholamhossein Yari
http://arxiv.org/abs/1912.11798v1
• [stat.ME]An efficient penalized estimation approach for a semi-parametric linear transformation model with interval-censored data
Minggen Lu, Yan Liu, Chin-Shang Li, Jianguo Sun
http://arxiv.org/abs/1912.11703v1
• [stat.ME]Communication-Efficient Integrative Regression in High-Dimensions
Subha Maity, Yuekai Sun, Moulinath Banerjee
http://arxiv.org/abs/1912.11928v1
• [stat.ME]Spatio-Temporal Random Partition Models
Garritt L. Page, Fernando A. Quintana, David B. Dahl
http://arxiv.org/abs/1912.11542v1
• [stat.ML]Composable Effects for Flexible and Accelerated Probabilistic Programming in NumPyro
Du Phan, Neeraj Pradhan, Martin Jankowiak
http://arxiv.org/abs/1912.11554v1
• [stat.ML]Learning with Wasserstein barycenters and applications
G. Domazakis, D. Drivaliaris, S. Koukoulas, G. Papayiannis, A. Tsekrekos, A. Yannacopoulos
http://arxiv.org/abs/1912.11801v1
• [stat.ML]Projection pursuit based on Gaussian mixtures and evolutionary algorithms
Luca Scrucca, Alessio Serafini
http://arxiv.org/abs/1912.12049v1
• [stat.ML]Statistical Agnostic Mapping: a Framework in Neuroimaging based on Concentration Inequalities
J M Gorriz, SiPBA Group, CAM neuroscience
http://arxiv.org/abs/1912.12274v1
• [stat.ML]The Chi-Square Test of Distance Correlation
Cencheng Shen, Joshua T. Vogelstein
http://arxiv.org/abs/1912.12150v1
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