cond-mat.dis-nn - 无序系统与神经网络
cs.AI - 人工智能
cs.CL - 计算与语言
cs.CR - 加密与安全
cs.CV - 机器视觉与模式识别
cs.CY - 计算与社会
cs.DB - 数据库
cs.DC - 分布式、并行与集群计算
cs.DS - 数据结构与算法
cs.GT - 计算机科学与博弈论
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.SI - 社交网络与信息网络
econ.EM - 计量经济学
eess.SP - 信号处理
math.OC - 优化与控制
math.ST - 统计理论
physics.soc-ph - 物理学与社会
q-bio.NC - 神经元与认知
q-bio.QM - 定量方法
stat.AP - 应用统计
stat.ME - 统计方法论
stat.ML - (统计)机器学习
• [cond-mat.dis-nn]A General Deep Learning Framework for Structure and Dynamics Reconstruction from Time Series Data
• [cond-mat.dis-nn]Training dynamically balanced excitatory-inhibitory networks
• [cs.AI]AIR5: Five Pillars of Artificial Intelligence Research
• [cs.AI]Differentiable Satisfiability and Differentiable Answer Set Programming for Sampling-Based Multi-Model Optimization
• [cs.AI]StarAlgo: A Squad Movement Planning Library for StarCraft using Monte Carlo Tree Search and Negamax
• [cs.CL]A neural joint model for Vietnamese word segmentation, POS tagging and dependency parsing
• [cs.CL]Advancing Acoustic-to-Word CTC Model with Attention and Mixed-Units
• [cs.CL]End-to-end neural relation extraction using deep biaffine attention
• [cs.CL]Multilingual Constituency Parsing with Self-Attention and Pre-Training
• [cs.CL]Sentiment Classification of Customer Reviews about Automobiles in Roman Urdu
• [cs.CL]Variational Self-attention Model for Sentence Representation
• [cs.CL]Weakly-Supervised Hierarchical Text Classification
• [cs.CR]Evaluating the Red Belly Blockchain
• [cs.CR]Stealing Neural Networks via Timing Side Channels
• [cs.CV]A Deep Learning based Framework to Detect and Recognize Humans using Contactless Palmprints in the Wild
• [cs.CV]A High-Performance CNN Method for Offline Handwritten Chinese Character Recognition and Visualization
• [cs.CV]Accurate, Data-Efficient, Unconstrained Text Recognition with Convolutional Neural Networks
• [cs.CV]Actor Conditioned Attention Maps for Video Action Detection
• [cs.CV]Annotation-cost Minimization for Medical Image Segmentation using Suggestive Mixed Supervision Fully Convolutional Networks
• [cs.CV]Brain MRI super-resolution using 3D generative adversarial networks
• [cs.CV]CFA Bayer image sequence denoising and demosaicking chain
• [cs.CV]CamLoc: Pedestrian Location Detection from Pose Estimation on Resource-constrained Smart-cameras
• [cs.CV]Cascaded V-Net using ROI masks for brain tumor segmentation
• [cs.CV]Class-Aware Adversarial Lung Nodule Synthesis in CT Images
• [cs.CV]CoSpace: Common Subspace Learning from Hyperspectral-Multispectral Correspondences
• [cs.CV]DART: Domain-Adversarial Residual-Transfer Networks for Unsupervised Cross-Domain Image Classification
• [cs.CV]Do GANs leave artificial fingerprints?
• [cs.CV]EANet: Enhancing Alignment for Cross-Domain Person Re-identification
• [cs.CV]Fast Perceptual Image Enhancement
• [cs.CV]Fast and Globally Optimal Rigid Registration of 3D Point Sets by Transformation Decomposition
• [cs.CV]Feature Preserving and Uniformity-controllable Point Cloud Simplification on Graph
• [cs.CV]Fingerprint Presentation Attack Detection: Generalization and Efficiency
• [cs.CV]High Quality Monocular Depth Estimation via Transfer Learning
• [cs.CV]Image Super-Resolution via RL-CSC: When Residual Learning Meets Convolutional Sparse Coding
• [cs.CV]Large-Scale Object Detection of Images from Network Cameras in Variable Ambient Lighting Conditions
• [cs.CV]Leishmaniasis Parasite Segmentation and Classification using Deep Learning
• [cs.CV]Linear solution to the minimal absolute pose rolling shutter problem
• [cs.CV]Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Active Tasks
• [cs.CV]Monocular 3D Pose Recovery via Nonconvex Sparsity with Theoretical Analysis
• [cs.CV]Monte-Carlo Sampling applied to Multiple Instance Learning for Histological Image Classification
• [cs.CV]PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation
• [cs.CV]Path-Invariant Map Networks
• [cs.CV]Pixel personality for dense object tracking in a 2D honeybee hive
• [cs.CV]Predicting Group Cohesiveness in Images
• [cs.CV]Rendu basé image avec contraintes sur les gradients
• [cs.CV]Sex-Classification from Cell-Phones Periocular Iris Images
• [cs.CV]SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks
• [cs.CV]Skeleton Transformer Networks: 3D Human Pose and Skinned Mesh from Single RGB Image
• [cs.CV]Solar Potential Analysis of Rooftops Using Satellite Imagery
• [cs.CV]Support Vector Guided Softmax Loss for Face Recognition
• [cs.CV]The meaning of "most" for visual question answering models
• [cs.CV]The role of visual saliency in the automation of seismic interpretation
• [cs.CV]Total Variation with Overlapping Group Sparsity and Lp Quasinorm for Infrared Image Deblurring under Salt-and-Pepper Noise
• [cs.CV]Unsupervised monocular stereo matching
• [cs.CY]Developing Cyber Buffer Zones
• [cs.DB]Explaining Aggregates for Exploratory Analytics
• [cs.DC]A Two-Phase Dynamic Throughput Optimization Model for Big Data Transfers
• [cs.DC]Logarithmic Expected-Time Leader Election in Population Protocol Model
• [cs.DC]Task Elimination may Actually Increase Throughput Time
• [cs.DS]Inference under Information Constraints I: Lower Bounds from Chi-Square Contraction
• [cs.GT]On the Complexity of the Inverse Semivalue Problem for Weighted Voting Games
• [cs.IR]A Neural Network Based Explainable Recommender System
• [cs.IR]Attention-Based Capsule Networks with Dynamic Routing for Relation Extraction
• [cs.IR]Cross-language Citation Recommendation via Hierarchical Representation Learning on Heterogeneous Graph
• [cs.IR]Learning to Selectively Transfer: Reinforced Transfer Learning for Deep Text Matching
• [cs.IR]Loss Aversion in Recommender Systems: Utilizing Negative User Preference to Improve Recommendation Quality
• [cs.IR]Mathematics Content Understanding for Cyberlearning via Formula Evolution Map
• [cs.IR]Towards Finding Non-obvious Papers: An Analysis of Citation Recommender Systems
• [cs.IT]Boosting Fronthaul Capacity: Global Optimization of Power Sharing for Centralized Radio Access Network
• [cs.IT]DC-Bias and Power Allocation in Cooperative VLC Networks for Joint Information and Energy Transfer
• [cs.IT]Dependence Control at Large
• [cs.IT]How did Donald Trump Surprisingly Win the 2016 United States Presidential Election? an Information-Theoretic Perspective (Clean Sensing for Big Data Analytics:Optimal Strategies,Estimation Error Bounds Tighter than the Cramér-Rao Bound)
• [cs.IT]Interference-Free Transceiver Design and Signal Detection for Ambient Backscatter Communication Systems over Frequency-Selective Channels
• [cs.IT]Low-Latency Broadband Analog Aggregation for Federated Edge Learning
• [cs.IT]On Optimal Locally Repairable Codes with Super-Linear Length
• [cs.IT]On the Outage Performance of SWIPT Based Three-step Two-way DF Relay Networks
• [cs.IT]Optimal User Pairing for Achieving Rate Fairness in Downlink NOMA Networks
• [cs.IT]Strong Security Polar Coding with Delayed Wiretap Channel State Information
• [cs.IT]Successive Wyner-Ziv Coding for the Binary CEO Problem under Logarithmic Loss
• [cs.IT]The Crossover-Distance for ISI-Correcting Decoding of Convolutional Codes in Diffusion-Based Molecular Communications
• [cs.LG]ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers
• [cs.LG]An introduction to domain adaptation and transfer learning
• [cs.LG]Autoencoder Based Residual Deep Networks for Robust Regression Prediction and Spatiotemporal Estimation
• [cs.LG]BNN+: Improved Binary Network Training
• [cs.LG]Batch Size Influence on Performance of Graphic and Tensor Processing Units during Training and Inference Phases
• [cs.LG]Cluster-Based Active Learning
• [cs.LG]Comparison between DeepESNs and gated RNNs on multivariate time-series prediction
• [cs.LG]Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications
• [cs.LG]Deep Residual Learning in the JPEG Transform Domain
• [cs.LG]Dynamic Planning Networks
• [cs.LG]Exact Guarantees on the Absence of Spurious Local Minima for Non-negative Robust Principal Component Analysis
• [cs.LG]Federated Learning via Over-the-Air Computation
• [cs.LG]Gray-box Adversarial Testing for Control Systems with Machine Learning Component
• [cs.LG]Greedy Layerwise Learning Can Scale to ImageNet
• [cs.LG]Hessian-Aware Zeroth-Order Optimization for Black-Box Adversarial Attack
• [cs.LG]Improving forecasting accuracy of time series data using a new ARIMA-ANN hybrid method and empirical mode decomposition
• [cs.LG]Kymatio: Scattering Transforms in Python
• [cs.LG]Learn to Interpret Atari Agents
• [cs.LG]Learning to Design RNA
• [cs.LG]Machine learning in resting-state fMRI analysis
• [cs.LG]Meta Reinforcement Learning with Distribution of Exploration Parameters Learned by Evolution Strategies
• [cs.LG]ORIGAMI: A Heterogeneous Split Architecture for In-Memory Acceleration of Learning
• [cs.LG]Per-Tensor Fixed-Point Quantization of the Back-Propagation Algorithm
• [cs.LG]Predicting Aircraft Trajectories: A Deep Generative Convolutional Recurrent Neural Networks Approach
• [cs.LG]Quantized Guided Pruning for Efficient Hardware Implementations of Convolutional Neural Networks
• [cs.LG]SPI-Optimizer: an integral-Separated PI Controller for Stochastic Optimization
• [cs.LG]Soft-Autoencoder and Its Wavelet Shrinkage Interpretation
• [cs.LG]State representation learning with recurrent capsule networks
• [cs.LG]Towards a topological-geometrical theory of group equivariant non-expansive operators for data analysis and machine learning
• [cs.NE]ATHENA: Automated Tuning of Genomic Error Correction Algorithms using Language Models
• [cs.NE]Partially Non-Recurrent Controllers for Memory-Augmented Neural Networks
• [cs.NE]SLIM LSTMs
• [cs.NE]State-of-the-Art Economic Load Dispatch of Power Systems Using Particle Swarm Optimization
• [cs.NI]Universal network deployment model for universal connectivity
• [cs.RO]3D Convolution on RGB-D Point Clouds for Accurate Model-free Object Pose Estimation
• [cs.RO]A dataset of 40K naturalistic 6-degree-of-freedom robotic grasp demonstrations
• [cs.RO]Calibration of Heterogeneous Sensor Systems
• [cs.RO]Coordination and Control of Multiple Climbing Robots in Transport of Heavy Loads through Extreme Terrain
• [cs.RO]From Pixels to Buildings: End-to-end Probabilistic Deep Networks for Large-scale Semantic Mapping
• [cs.RO]Microcontroller Based Robotic Arm Development for Library Management System
• [cs.RO]On Infusing Reachability-Based Safety Assurance within Probabilistic Planning Frameworks for Human-Robot Vehicle Interactions
• [cs.RO]UAV Control in Close Proximities - Ceiling Effect on Battery Lifetime
• [cs.SI]Applying Text Mining to Protest Stories as Voice against Media Censorship
• [cs.SI]Group based Centrality for Immunization of Complex Networks
• [cs.SI]Randomized Rumor Spreading in Ad Hoc Networks with Buffers
• [cs.SI]Removing Malicious Nodes from Networks
• [cs.SI]Stability of Local Information based Centrality Measurements under Degree Preserving Randomizations
• [econ.EM]Salvaging Falsified Instrumental Variable Models
• [eess.SP]Adaptive Short-time Fourier Transform and Synchrosqueezing Transform for Non-stationary Signal Separation
• [math.OC]DeGroot-Friedkin Map in Opinion Dynamics is Mirror Descent
• [math.ST]Adaptation in multivariate log-concave density estimation
• [math.ST]An Analysis of Classical Multidimensional Scaling
• [math.ST]Geometrical and statistical properties of M-estimates of scatter on Grassmann manifolds
• [math.ST]High-dimensional instrumental variables regression and confidence sets - v2/2012
• [math.ST]Non-Asymptotic Chernoff Lower Bound and Its Application to Community Detection in Stochastic Block Model
• [math.ST]Semiparametric Estimation for Cure Survival Model with Left-Truncated and Right-Censored Data and Covariate Measurement Error
• [physics.soc-ph]Opinion Dynamics Theory for Analysis of Consensus Formation and Division of Opinion on the Internet
• [q-bio.NC]Two "correlation games" for a nonlinear network with Hebbian excitatory neurons and anti-Hebbian inhibitory neurons
• [q-bio.NC]Unsupervised learning by a nonlinear network with Hebbian excitatory and anti-Hebbian inhibitory neurons
• [q-bio.QM]A shortest-path based clustering algorithm for joint human-machine analysis of complex datasets
• [stat.AP]A multivariate spatial skew-t process for joint modeling of extreme precipitation indexes
• [stat.AP]Advanced methodology for uncertainty propagation in computer experiments with large number of inputs
• [stat.AP]Modeling Frequency and Severity of Claims with the Zero-Inflated Generalized Cluster-Weighted Models
• [stat.ME]A semiparametric Bayesian model for spatiotemporal extremes
• [stat.ME]Combining Non-probability and Probability Survey Samples Through Mass Imputation
• [stat.ME]Hypothesis testing procedures for two sample means with applications to gene expression data
• [stat.ME]On Cross-validation for Sparse Reduced Rank Regression
• [stat.ME]On the Construction of Knockoffs in Case-Control Studies
• [stat.ML]Approximate Inference for Multiplicative Latent Force Models
• [stat.ML]Imputation and low-rank estimation with Missing Non At Random data
• [stat.ML]K-nearest Neighbor Search by Random Projection Forests
• [stat.ML]Learning Mixture Model with Missing Values and its Application to Rankings
• [stat.ML]Multivariate Arrival Times with Recurrent Neural Networks for Personalized Demand Forecasting
·····································
• [cond-mat.dis-nn]A General Deep Learning Framework for Structure and Dynamics Reconstruction from Time Series Data
Zhang Zhang, Jing Liu, Shuo Wang, Ruyue Xin, Jiang Zhang
http://arxiv.org/abs/1812.11482v1
• [cond-mat.dis-nn]Training dynamically balanced excitatory-inhibitory networks
Alessandro Ingrosso, L. F. Abbott
http://arxiv.org/abs/1812.11424v1
• [cs.AI]AIR5: Five Pillars of Artificial Intelligence Research
Yew-Soon Ong, Abhishek Gupta
http://arxiv.org/abs/1812.11509v1
• [cs.AI]Differentiable Satisfiability and Differentiable Answer Set Programming for Sampling-Based Multi-Model Optimization
Matthias Nickles
http://arxiv.org/abs/1812.11948v1
• [cs.AI]StarAlgo: A Squad Movement Planning Library for StarCraft using Monte Carlo Tree Search and Negamax
Mykyta Viazovskyi, Michal Certicky
http://arxiv.org/abs/1812.11371v1
• [cs.CL]A neural joint model for Vietnamese word segmentation, POS tagging and dependency parsing
Dat Quoc Nguyen
http://arxiv.org/abs/1812.11459v1
• [cs.CL]Advancing Acoustic-to-Word CTC Model with Attention and Mixed-Units
Amit Das, Jinyu Li, Guoli Ye, Rui Zhao, Yifan Gong
http://arxiv.org/abs/1812.11928v1
• [cs.CL]End-to-end neural relation extraction using deep biaffine attention
Dat Quoc Nguyen, Karin Verspoor
http://arxiv.org/abs/1812.11275v1
• [cs.CL]Multilingual Constituency Parsing with Self-Attention and Pre-Training
Nikita Kitaev, Dan Klein
http://arxiv.org/abs/1812.11760v1
• [cs.CL]Sentiment Classification of Customer Reviews about Automobiles in Roman Urdu
Moin Khan, Kamran Malik
http://arxiv.org/abs/1812.11587v1
• [cs.CL]Variational Self-attention Model for Sentence Representation
Qiang Zhang, Shangsong Liang, Emine Yilmaz
http://arxiv.org/abs/1812.11559v1
• [cs.CL]Weakly-Supervised Hierarchical Text Classification
Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han
http://arxiv.org/abs/1812.11270v1
• [cs.CR]Evaluating the Red Belly Blockchain
Tyler Crain, Christopher Natoli, Vincent Gramoli
http://arxiv.org/abs/1812.11747v1
• [cs.CR]Stealing Neural Networks via Timing Side Channels
Vasisht Duddu, Debasis Samanta, D Vijay Rao, Valentina E. Balas
http://arxiv.org/abs/1812.11720v1
• [cs.CV]A Deep Learning based Framework to Detect and Recognize Humans using Contactless Palmprints in the Wild
Yang Liu, Ajay Kumar
http://arxiv.org/abs/1812.11319v1
• [cs.CV]A High-Performance CNN Method for Offline Handwritten Chinese Character Recognition and Visualization
Pavlo Melnyk, Zhiqiang You, Keqin Li
http://arxiv.org/abs/1812.11489v1
• [cs.CV]Accurate, Data-Efficient, Unconstrained Text Recognition with Convolutional Neural Networks
Mohamed Yousef, Khaled F. Hussain, Usama S. Mohammed
http://arxiv.org/abs/1812.11894v1
• [cs.CV]Actor Conditioned Attention Maps for Video Action Detection
Oytun Ulutan, Swati Rallapalli, Mudhakar Srivatsa, B. S. Manjunath
http://arxiv.org/abs/1812.11631v1
• [cs.CV]Annotation-cost Minimization for Medical Image Segmentation using Suggestive Mixed Supervision Fully Convolutional Networks
Yash Bhalgat, Meet Shah, Suyash Awate
http://arxiv.org/abs/1812.11302v1
• [cs.CV]Brain MRI super-resolution using 3D generative adversarial networks
Irina Sanchez, Veronica Vilaplana
http://arxiv.org/abs/1812.11440v1
• [cs.CV]CFA Bayer image sequence denoising and demosaicking chain
Antoni Buades, Joan Duran
http://arxiv.org/abs/1812.11207v1
• [cs.CV]CamLoc: Pedestrian Location Detection from Pose Estimation on Resource-constrained Smart-cameras
Adrian Cosma, Ion Emilian Radoi, Valentin Radu
http://arxiv.org/abs/1812.11209v1
• [cs.CV]Cascaded V-Net using ROI masks for brain tumor segmentation
Adrià Casamitjana, Marcel Catà, Irina Sánchez, Marc Combalia, Verónica Vilaplana
http://arxiv.org/abs/1812.11588v1
• [cs.CV]Class-Aware Adversarial Lung Nodule Synthesis in CT Images
Jie Yang, Siqi Liu, Sasa Grbic, Arnaud Arindra Adiyoso Setio, Zhoubing Xu, Eli Gibson, Guillaume Chabin, Bogdan Georgescu, Andrew F. Laine, Dorin Comaniciu
http://arxiv.org/abs/1812.11204v1
• [cs.CV]CoSpace: Common Subspace Learning from Hyperspectral-Multispectral Correspondences
Danfeng Hong, Naoto Yokoya, Jocelyn Chanussot, Xiao Xiang Zhu
http://arxiv.org/abs/1812.11501v1
• [cs.CV]DART: Domain-Adversarial Residual-Transfer Networks for Unsupervised Cross-Domain Image Classification
Xianghong Fang, Haoli Bai, Ziyi Guo, Bin Shen, Steven Hoi, Zenglin Xu
http://arxiv.org/abs/1812.11478v1
• [cs.CV]Do GANs leave artificial fingerprints?
Francesco Marra, Diego Gragnaniello, Luisa Verdoliva, Giovanni Poggi
http://arxiv.org/abs/1812.11842v1
• [cs.CV]EANet: Enhancing Alignment for Cross-Domain Person Re-identification
Houjing Huang, Wenjie Yang, Xiaotang Chen, Xin Zhao, Kaiqi Huang, Jinbin Lin, Guan Huang, Dalong Du
http://arxiv.org/abs/1812.11369v1
• [cs.CV]Fast Perceptual Image Enhancement
Etienne de Stoutz, Andrey Ignatov, Nikolay Kobyshev, Radu Timofte, Luc Van Gool
http://arxiv.org/abs/1812.11852v1
• [cs.CV]Fast and Globally Optimal Rigid Registration of 3D Point Sets by Transformation Decomposition
Xuechen Li, Yinlong Liu, Yiru Wang, Chen Wang, Manning Wang, Zhijian Song
http://arxiv.org/abs/1812.11307v1
• [cs.CV]Feature Preserving and Uniformity-controllable Point Cloud Simplification on Graph
Junkun Qi, Wei Hu, Zongming Guo
http://arxiv.org/abs/1812.11383v1
• [cs.CV]Fingerprint Presentation Attack Detection: Generalization and Efficiency
Tarang Chugh, Anil K. Jain
http://arxiv.org/abs/1812.11574v1
• [cs.CV]High Quality Monocular Depth Estimation via Transfer Learning
Ibraheem Alhashim, Peter Wonka
http://arxiv.org/abs/1812.11941v1
• [cs.CV]Image Super-Resolution via RL-CSC: When Residual Learning Meets Convolutional Sparse Coding
Menglei Zhang, Zhou Liu, Lei Yu
http://arxiv.org/abs/1812.11950v1
• [cs.CV]Large-Scale Object Detection of Images from Network Cameras in Variable Ambient Lighting Conditions
Caleb Tung, Matthew R. Kelleher, Ryan J. Schlueter, Binhan Xu, Yung-Hsiang Lu, George K. Thiruvathukal, Yen-Kuang Chen, Yang Lu
http://arxiv.org/abs/1812.11901v1
• [cs.CV]Leishmaniasis Parasite Segmentation and Classification using Deep Learning
Marc Górriz, Albert Aparicio, Berta Raventós, Verónica Vilaplana, Elisa Sayrol, Daniel López-Codina
http://arxiv.org/abs/1812.11586v1
• [cs.CV]Linear solution to the minimal absolute pose rolling shutter problem
Zuzana Kukelova, Cenek Albl, Akihiro Sugimoto, Tomas Pajdla
http://arxiv.org/abs/1812.11532v1
• [cs.CV]Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Active Tasks
Alexander Sax, Bradley Emi, Amir R. Zamir, Leonidas Guibas, Silvio Savarese, Jitendra Malik
http://arxiv.org/abs/1812.11971v1
• [cs.CV]Monocular 3D Pose Recovery via Nonconvex Sparsity with Theoretical Analysis
Jianqiao Wangni, Dahua Lin, Ji Liu, Kostas Daniilidis, Jianbo Shi
http://arxiv.org/abs/1812.11295v1
• [cs.CV]Monte-Carlo Sampling applied to Multiple Instance Learning for Histological Image Classification
Marc Combalia, Veronica Vilaplana
http://arxiv.org/abs/1812.11560v1
• [cs.CV]PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation
Sida Peng, Yuan Liu, Qixing Huang, Hujun Bao, Xiaowei Zhou
http://arxiv.org/abs/1812.11788v1
• [cs.CV]Path-Invariant Map Networks
Zaiwei Zhang, Zhenxiao Liang, Lemeng Wu, Xiaowei Zhou, Qixing Huang
http://arxiv.org/abs/1812.11647v1
• [cs.CV]Pixel personality for dense object tracking in a 2D honeybee hive
Katarzyna Bozek, Laetitia Hebert, Alexander S Mikheyev, Greg J Stephens
http://arxiv.org/abs/1812.11797v1
• [cs.CV]Predicting Group Cohesiveness in Images
Shreya Ghosh, Abhinav Dhall, Nicu Sebe
http://arxiv.org/abs/1812.11771v1
• [cs.CV]Rendu basé image avec contraintes sur les gradients
Grégoire Nieto, Frédéric Devernay, James Crowley
http://arxiv.org/abs/1812.11339v1
• [cs.CV]Sex-Classification from Cell-Phones Periocular Iris Images
Juan Tapia, Claudia Arellano, Ignacio Viedma
http://arxiv.org/abs/1812.11702v1
• [cs.CV]SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks
Bo Li, Wei Wu, Qiang Wang, Fangyi Zhang, Junliang Xing, Junjie Yan
http://arxiv.org/abs/1812.11703v1
• [cs.CV]Skeleton Transformer Networks: 3D Human Pose and Skinned Mesh from Single RGB Image
Yusuke Yoshiyasu, Ryusuke Sagawa, Ko Ayusawa, Akihiko Murai
http://arxiv.org/abs/1812.11328v1
• [cs.CV]Solar Potential Analysis of Rooftops Using Satellite Imagery
Akash Kumar, S. Indu
http://arxiv.org/abs/1812.11606v1
• [cs.CV]Support Vector Guided Softmax Loss for Face Recognition
Xiaobo Wang, Shuo Wang, Shifeng Zhang, Tianyu Fu, Hailin Shi, Tao Mei
http://arxiv.org/abs/1812.11317v1
• [cs.CV]The meaning of "most" for visual question answering models
Alexander Kuhnle, Ann Copestake
http://arxiv.org/abs/1812.11737v1
• [cs.CV]The role of visual saliency in the automation of seismic interpretation
Muhammad Amir Shafiq, Tariq Alshawi, Zhiling Long, Ghassan AlRegib
http://arxiv.org/abs/1812.11960v1
• [cs.CV]Total Variation with Overlapping Group Sparsity and Lp Quasinorm for Infrared Image Deblurring under Salt-and-Pepper Noise
Xingguo Liua, Yinping Chena, Zhenming Penga, Juan Wu
http://arxiv.org/abs/1812.11725v1
• [cs.CV]Unsupervised monocular stereo matching
Zhimin Zhang, Jianzhong Qiao, Shukuan Lin
http://arxiv.org/abs/1812.11671v1
• [cs.CY]Developing Cyber Buffer Zones
Michael Robinson, Kevin Jones, Helge Janicke, Leandros Maglaras
http://arxiv.org/abs/1812.11900v1
• [cs.DB]Explaining Aggregates for Exploratory Analytics
Fotis Savva, Christos Anagnostopoulos, Peter Triantafillou
http://arxiv.org/abs/1812.11346v1
• [cs.DC]A Two-Phase Dynamic Throughput Optimization Model for Big Data Transfers
Zulkar Nine, Tevfik Kosar
http://arxiv.org/abs/1812.11255v1
• [cs.DC]Logarithmic Expected-Time Leader Election in Population Protocol Model
Yuichi Sudo, Fukuhito Ooshita, Taisuke Izumi, Hirotsugu Kakugawa, Toshimitsu Masuzawa
http://arxiv.org/abs/1812.11309v1
• [cs.DC]Task Elimination may Actually Increase Throughput Time
D. M. M. Schunselaar, H. M. W. Verbeek
http://arxiv.org/abs/1812.11793v1
• [cs.DS]Inference under Information Constraints I: Lower Bounds from Chi-Square Contraction
Jayadev Acharya, Clément L. Canonne, Himanshu Tyagi
http://arxiv.org/abs/1812.11476v1
• [cs.GT]On the Complexity of the Inverse Semivalue Problem for Weighted Voting Games
Ilias Diakonikolas, Chrystalla Pavlou
http://arxiv.org/abs/1812.11712v1
• [cs.IR]A Neural Network Based Explainable Recommender System
Jionghao Lin, Yiren Liu
http://arxiv.org/abs/1812.11740v1
• [cs.IR]Attention-Based Capsule Networks with Dynamic Routing for Relation Extraction
Ningyu Zhang, Shumin Deng, Zhanlin Sun, Xi Chen, Wei Zhang, Huajun Chen
http://arxiv.org/abs/1812.11321v1
• [cs.IR]Cross-language Citation Recommendation via Hierarchical Representation Learning on Heterogeneous Graph
Zhuoren Jiang, Yue Yin, Liangcai Gao, Yao Lu, Xiaozhong Liu
http://arxiv.org/abs/1812.11709v1
• [cs.IR]Learning to Selectively Transfer: Reinforced Transfer Learning for Deep Text Matching
Chen Qu, Feng Ji, Minghui Qiu, Liu Yang, Zhiyu Min, Haiqing Chen, Jun Huang, W. Bruce Croft
http://arxiv.org/abs/1812.11561v1
• [cs.IR]Loss Aversion in Recommender Systems: Utilizing Negative User Preference to Improve Recommendation Quality
Bibek Paudel, Sandro Luck, Abraham Bernstein
http://arxiv.org/abs/1812.11422v1
• [cs.IR]Mathematics Content Understanding for Cyberlearning via Formula Evolution Map
Zhuoren Jiang, Liangcai Gao, Ke Yuan, Zheng Gao, Zhi Tang, Xiaozhong Liu
http://arxiv.org/abs/1812.11786v1
• [cs.IR]Towards Finding Non-obvious Papers: An Analysis of Citation Recommender Systems
Haofeng Jia, Erik Saule
http://arxiv.org/abs/1812.11252v1
• [cs.IT]Boosting Fronthaul Capacity: Global Optimization of Power Sharing for Centralized Radio Access Network
Jiankang Zhang, Sheng Chen, Xinying Guo, Jia Shi, Lajos Hanzo
http://arxiv.org/abs/1812.11413v1
• [cs.IT]DC-Bias and Power Allocation in Cooperative VLC Networks for Joint Information and Energy Transfer
Mohanad Obeed, Hayssam Dahrouj, Anas M. Salhab, Salam A. Zummo, Mohamed-Slim Alouini
http://arxiv.org/abs/1812.11791v1
• [cs.IT]Dependence Control at Large
Fengyou Sun
http://arxiv.org/abs/1812.11268v1
• [cs.IT]How did Donald Trump Surprisingly Win the 2016 United States Presidential Election? an Information-Theoretic Perspective (Clean Sensing for Big Data Analytics:Optimal Strategies,Estimation Error Bounds Tighter than the Cramér-Rao Bound)
Weiyu Xu, Lifeng Lai, Amin Khajehnejad
http://arxiv.org/abs/1812.11891v1
• [cs.IT]Interference-Free Transceiver Design and Signal Detection for Ambient Backscatter Communication Systems over Frequency-Selective Channels
Chong Zhang, Gongpu Wang, Panagiotis D. Diamantoulakis, Feifei Gao, George K. Karagiannidis
http://arxiv.org/abs/1812.11278v1
• [cs.IT]Low-Latency Broadband Analog Aggregation for Federated Edge Learning
Guangxu Zhu, Yong Wang, Kaibin Huang
http://arxiv.org/abs/1812.11494v1
• [cs.IT]On Optimal Locally Repairable Codes with Super-Linear Length
Han Cai, Ying Miao, Moshe Schwartz, Xiaohu Tang
http://arxiv.org/abs/1812.11942v1
• [cs.IT]On the Outage Performance of SWIPT Based Three-step Two-way DF Relay Networks
Yinghui Ye, Liqin Shi, Xiaoli Chu, Hailin Zhang, Guangyue Lu
http://arxiv.org/abs/1812.11636v1
• [cs.IT]Optimal User Pairing for Achieving Rate Fairness in Downlink NOMA Networks
Van-Phuc Bui, Phu X. Nguyen, Hieu V. Nguyen, Van-Dinh Nguyen, Oh-Soon Shin
http://arxiv.org/abs/1812.11490v1
• [cs.IT]Strong Security Polar Coding with Delayed Wiretap Channel State Information
Yizhi Zhao, Hongmei Chi
http://arxiv.org/abs/1812.11271v1
• [cs.IT]Successive Wyner-Ziv Coding for the Binary CEO Problem under Logarithmic Loss
Mahdi Nangir, Reza Asvadi, Jun Chen, Mahmoud Ahmadian-Attari, Tad Matsumoto
http://arxiv.org/abs/1812.11584v1
• [cs.IT]The Crossover-Distance for ISI-Correcting Decoding of Convolutional Codes in Diffusion-Based Molecular Communications
Hui Li, Qingchao Li
http://arxiv.org/abs/1812.11273v1
• [cs.LG]ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers
Ao Ren, Tianyun Zhang, Shaokai Ye, Jiayu Li, Wenyao Xu, Xuehai Qian, Xue Lin, Yanzhi Wang
http://arxiv.org/abs/1812.11677v1
• [cs.LG]An introduction to domain adaptation and transfer learning
Wouter M. Kouw
http://arxiv.org/abs/1812.11806v1
• [cs.LG]Autoencoder Based Residual Deep Networks for Robust Regression Prediction and Spatiotemporal Estimation
Lianfa Li, Ying Fang, Jun Wu, Jinfeng Wang
http://arxiv.org/abs/1812.11262v1
• [cs.LG]BNN+: Improved Binary Network Training
Sajad Darabi, Mouloud Belbahri, Matthieu Courbariaux, Vahid Partovi Nia
http://arxiv.org/abs/1812.11800v1
• [cs.LG]Batch Size Influence on Performance of Graphic and Tensor Processing Units during Training and Inference Phases
Yuriy Kochura, Yuri Gordienko, Vlad Taran, Nikita Gordienko, Alexandr Rokovyi, Oleg Alienin, Sergii Stirenko
http://arxiv.org/abs/1812.11731v1
• [cs.LG]Cluster-Based Active Learning
Fábio Perez, Rémi Lebret, Karl Aberer
http://arxiv.org/abs/1812.11780v1
• [cs.LG]Comparison between DeepESNs and gated RNNs on multivariate time-series prediction
Claudio Gallicchio, Alessio Micheli, Luca Pedrelli
http://arxiv.org/abs/1812.11527v1
• [cs.LG]Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications
Thanh Thi Nguyen, Ngoc Duy Nguyen, Saeid Nahavandi
http://arxiv.org/abs/1812.11794v1
• [cs.LG]Deep Residual Learning in the JPEG Transform Domain
Max Ehrlich, Larry Davis
http://arxiv.org/abs/1812.11690v1
• [cs.LG]Dynamic Planning Networks
Norman Tasfi, Miriam Capretz
http://arxiv.org/abs/1812.11240v1
• [cs.LG]Exact Guarantees on the Absence of Spurious Local Minima for Non-negative Robust Principal Component Analysis
Salar Fattahi, Somayeh Sojoudi
http://arxiv.org/abs/1812.11466v1
• [cs.LG]Federated Learning via Over-the-Air Computation
Kai Yang, Tao Jiang, Yuanming Shi, Zhi Ding
http://arxiv.org/abs/1812.11750v1
• [cs.LG]Gray-box Adversarial Testing for Control Systems with Machine Learning Component
Shakiba Yaghoubi, Georgios Fainekos
http://arxiv.org/abs/1812.11958v1
• [cs.LG]Greedy Layerwise Learning Can Scale to ImageNet
Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon
http://arxiv.org/abs/1812.11446v1
• [cs.LG]Hessian-Aware Zeroth-Order Optimization for Black-Box Adversarial Attack
Haishan Ye, Zhichao Huang, Cong Fang, Chris Junchi Li, Tong Zhang
http://arxiv.org/abs/1812.11377v1
• [cs.LG]Improving forecasting accuracy of time series data using a new ARIMA-ANN hybrid method and empirical mode decomposition
Ümit Çavuş Büyükşahin, Şeyda Ertekin
http://arxiv.org/abs/1812.11526v1
• [cs.LG]Kymatio: Scattering Transforms in Python
Mathieu Andreux, Tomás Angles, Georgios Exarchakis, Roberto Leonarduzzi, Gaspar Rochette, Louis Thiry, John Zarka, Stéphane Mallat, Joakim andén, Eugene Belilovsky, Joan Bruna, Vincent Lostanlen, Matthew J. Hirn, Edouard Oyallon, Sixhin Zhang, Carmine Cella, Michael Eickenberg
http://arxiv.org/abs/1812.11214v1
• [cs.LG]Learn to Interpret Atari Agents
Zhao Yang, Song Bai, Li Zhang, Philip H. S. Torr
http://arxiv.org/abs/1812.11276v1
• [cs.LG]Learning to Design RNA
Frederic Runge, Danny Stoll, Stefan Falkner, Frank Hutter
http://arxiv.org/abs/1812.11951v1
• [cs.LG]Machine learning in resting-state fMRI analysis
Meenakshi Khosla, Keith Jamison, Gia H. Ngo, Amy Kuceyeski, Mert R. Sabuncu
http://arxiv.org/abs/1812.11477v1
• [cs.LG]Meta Reinforcement Learning with Distribution of Exploration Parameters Learned by Evolution Strategies
Yiming Shen, Kehan Yang, Yufeng Yuan, Simon Cheng Liu
http://arxiv.org/abs/1812.11314v1
• [cs.LG]ORIGAMI: A Heterogeneous Split Architecture for In-Memory Acceleration of Learning
Hajar Falahati, Pejman Lotfi-Kamran, Mohammad Sadrosadati, Hamid Sarbazi-Azad
http://arxiv.org/abs/1812.11473v1
• [cs.LG]Per-Tensor Fixed-Point Quantization of the Back-Propagation Algorithm
Charbel Sakr, Naresh Shanbhag
http://arxiv.org/abs/1812.11732v1
• [cs.LG]Predicting Aircraft Trajectories: A Deep Generative Convolutional Recurrent Neural Networks Approach
Yulin Liu, Mark Hansen
http://arxiv.org/abs/1812.11670v1
• [cs.LG]Quantized Guided Pruning for Efficient Hardware Implementations of Convolutional Neural Networks
Ghouthi Boukli Hacene, Vincent Gripon, Matthieu Arzel, Nicolas Farrugia, Yoshua Bengio
http://arxiv.org/abs/1812.11337v1
• [cs.LG]SPI-Optimizer: an integral-Separated PI Controller for Stochastic Optimization
Dan Wang, Mengqi Ji, Yong Wang, Haoqian Wang, Lu Fang
http://arxiv.org/abs/1812.11305v1
• [cs.LG]Soft-Autoencoder and Its Wavelet Shrinkage Interpretation
Fenglei Fan, Mengzhou Li, Yueyang Teng, Ge Wang
http://arxiv.org/abs/1812.11675v1
• [cs.LG]State representation learning with recurrent capsule networks
Louis Annabi, Michael Garcia Ortiz
http://arxiv.org/abs/1812.11202v1
• [cs.LG]Towards a topological-geometrical theory of group equivariant non-expansive operators for data analysis and machine learning
Mattia G. Bergomi, Patrizio Frosini, Daniela Giorgi, Nicola Quercioli
http://arxiv.org/abs/1812.11832v1
• [cs.NE]ATHENA: Automated Tuning of Genomic Error Correction Algorithms using Language Models
Mustafa Abdallah, Ashraf Mahgoub, Saurabh Bagchi, Somali Chaterji
http://arxiv.org/abs/1812.11467v1
• [cs.NE]Partially Non-Recurrent Controllers for Memory-Augmented Neural Networks
Naoya Taguchi, Yoshimasa Tsuruoka
http://arxiv.org/abs/1812.11485v1
• [cs.NE]SLIM LSTMs
Fathi M. Salem
http://arxiv.org/abs/1812.11391v1
• [cs.NE]State-of-the-Art Economic Load Dispatch of Power Systems Using Particle Swarm Optimization
Mahamad Nabab Alam
http://arxiv.org/abs/1812.11610v1
• [cs.NI]Universal network deployment model for universal connectivity
Ramon Roca, Lluís Dalmau, Roger Baig, Leandro Navarro
http://arxiv.org/abs/1812.11525v1
• [cs.RO]3D Convolution on RGB-D Point Clouds for Accurate Model-free Object Pose Estimation
Zhongang Cai, Cunjun Yu, Quang-Cuong Pham
http://arxiv.org/abs/1812.11284v1
• [cs.RO]A dataset of 40K naturalistic 6-degree-of-freedom robotic grasp demonstrations
Rajan Iyengar, Victor Reyes Osorio, Presish Bhattachan, Adrian Ragobar, Bryan Tripp
http://arxiv.org/abs/1812.11683v1
• [cs.RO]Calibration of Heterogeneous Sensor Systems
Juraj Peršić
http://arxiv.org/abs/1812.11445v1
• [cs.RO]Coordination and Control of Multiple Climbing Robots in Transport of Heavy Loads through Extreme Terrain
Himangshu Kalita, Steven Morad, Jekan Thangavelautham
http://arxiv.org/abs/1812.11452v1
• [cs.RO]From Pixels to Buildings: End-to-end Probabilistic Deep Networks for Large-scale Semantic Mapping
Kaiyu Zheng, Andrzej Pronobis
http://arxiv.org/abs/1812.11866v1
• [cs.RO]Microcontroller Based Robotic Arm Development for Library Management System
Bodhisatwa Barma, Samrat Ghosh, Abhrodip Chaudhury, Biswarup Ganguly
http://arxiv.org/abs/1812.11316v1
• [cs.RO]On Infusing Reachability-Based Safety Assurance within Probabilistic Planning Frameworks for Human-Robot Vehicle Interactions
Karen Leung, Edward Schmerling, Mo Chen, John Talbot, J. Christian Gerdes, Marco Pavone
http://arxiv.org/abs/1812.11315v1
• [cs.RO]UAV Control in Close Proximities - Ceiling Effect on Battery Lifetime
Basaran Bahadir Kocer, Volkan Kumtepeli, Tegoeh Tjahjowidodo, Mahardhika Pratama, Anshuman Tripathi, Gerald Seet Gim Lee, Youyi Wang
http://arxiv.org/abs/1812.11707v1
• [cs.SI]Applying Text Mining to Protest Stories as Voice against Media Censorship
Tahsin Mayeesha, Zareen Tasneem, Jasmine Jones, Nova Ahmed
http://arxiv.org/abs/1812.11430v1
• [cs.SI]Group based Centrality for Immunization of Complex Networks
Chandni Saxena, M. N. Doja, Tanvir Ahmad
http://arxiv.org/abs/1812.11535v1
• [cs.SI]Randomized Rumor Spreading in Ad Hoc Networks with Buffers
Dariusz R. Kowalski, Christopher Thraves Caro
http://arxiv.org/abs/1812.11903v1
• [cs.SI]Removing Malicious Nodes from Networks
Sixie Yu, Yevgeniy Vorobeychik
http://arxiv.org/abs/1812.11448v1
• [cs.SI]Stability of Local Information based Centrality Measurements under Degree Preserving Randomizations
Chandni Saxena, M. N. Doja, Tanvir Ahmad
http://arxiv.org/abs/1812.11461v1
• [econ.EM]Salvaging Falsified Instrumental Variable Models
Matthew A. Masten, Alexandre Poirier
http://arxiv.org/abs/1812.11598v1
• [eess.SP]Adaptive Short-time Fourier Transform and Synchrosqueezing Transform for Non-stationary Signal Separation
Lin Li, Haiyan Cai, Hongxia Han, Qingtang Jiang, Hongbing Ji
http://arxiv.org/abs/1812.11292v1
• [math.OC]DeGroot-Friedkin Map in Opinion Dynamics is Mirror Descent
Abhishek Halder
http://arxiv.org/abs/1812.11293v1
• [math.ST]Adaptation in multivariate log-concave density estimation
Oliver Y. Feng, Adityanand Guntuboyina, Arlene K. H. Kim, Richard J. Samworth
http://arxiv.org/abs/1812.11634v1
• [math.ST]An Analysis of Classical Multidimensional Scaling
Anna Little, Yuying Xie, Qiang Sun
http://arxiv.org/abs/1812.11954v1
• [math.ST]Geometrical and statistical properties of M-estimates of scatter on Grassmann manifolds
Corina Ciobotaru, Christian Mazza
http://arxiv.org/abs/1812.11605v1
• [math.ST]High-dimensional instrumental variables regression and confidence sets - v2/2012
Eric Gautier, Alexandre B. Tsybakov
http://arxiv.org/abs/1812.11330v1
• [math.ST]Non-Asymptotic Chernoff Lower Bound and Its Application to Community Detection in Stochastic Block Model
Zhixin Zhou, Ping Li
http://arxiv.org/abs/1812.11269v1
• [math.ST]Semiparametric Estimation for Cure Survival Model with Left-Truncated and Right-Censored Data and Covariate Measurement Error
Li-Pang Chen
http://arxiv.org/abs/1812.11973v1
• [physics.soc-ph]Opinion Dynamics Theory for Analysis of Consensus Formation and Division of Opinion on the Internet
Akira Ishii, Yasuko Kawahata
http://arxiv.org/abs/1812.11845v1
• [q-bio.NC]Two "correlation games" for a nonlinear network with Hebbian excitatory neurons and anti-Hebbian inhibitory neurons
H. Sebastian Seung
http://arxiv.org/abs/1812.11937v1
• [q-bio.NC]Unsupervised learning by a nonlinear network with Hebbian excitatory and anti-Hebbian inhibitory neurons
H. Sebastian Seung
http://arxiv.org/abs/1812.11581v1
• [q-bio.QM]A shortest-path based clustering algorithm for joint human-machine analysis of complex datasets
Diego Ulisse Pizzagalli, Santiago Fernandez Gonzalez, Rolf Krause
http://arxiv.org/abs/1812.11850v1
• [stat.AP]A multivariate spatial skew-t process for joint modeling of extreme precipitation indexes
Arnab Hazra, Brian J. Reich, Ana-Maria Staicu
http://arxiv.org/abs/1812.11704v1
• [stat.AP]Advanced methodology for uncertainty propagation in computer experiments with large number of inputs
Bertrand Iooss, Amandine Marrel
http://arxiv.org/abs/1812.11335v1
• [stat.AP]Modeling Frequency and Severity of Claims with the Zero-Inflated Generalized Cluster-Weighted Models
Nikola Pocuca, Petar Jevtic, Paul D. McNicholas, Tatjana Miljkovic
http://arxiv.org/abs/1812.11829v1
• [stat.ME]A semiparametric Bayesian model for spatiotemporal extremes
Arnab Hazra, Brian J. Reich, Benjamin A. Shaby, Ana-Maria Staicu
http://arxiv.org/abs/1812.11699v1
• [stat.ME]Combining Non-probability and Probability Survey Samples Through Mass Imputation
Jae Kwang Kim, Seho Park, Yilin Chen, Changbao Wu
http://arxiv.org/abs/1812.10694v2
• [stat.ME]Hypothesis testing procedures for two sample means with applications to gene expression data
Michail Tsagris, Abdulaziz Alenazi, Kleio-Maria Verrou
http://arxiv.org/abs/1812.11361v1
• [stat.ME]On Cross-validation for Sparse Reduced Rank Regression
Yiyuan She, Hoang Tran
http://arxiv.org/abs/1812.11555v1
• [stat.ME]On the Construction of Knockoffs in Case-Control Studies
Rina Foygel Barber, Emmanuel Candes
http://arxiv.org/abs/1812.11433v1
• [stat.ML]Approximate Inference for Multiplicative Latent Force Models
Daniel J. Tait, Bruce J. Worton
http://arxiv.org/abs/1812.11755v1
• [stat.ML]Imputation and low-rank estimation with Missing Non At Random data
Aude Sportisse, Claire Boyer, Julie Josse
http://arxiv.org/abs/1812.11409v1
• [stat.ML]K-nearest Neighbor Search by Random Projection Forests
Donghui Yan, Yingjie Wang, Jin Wang, Honggang Wang, Zhenpeng Li
http://arxiv.org/abs/1812.11689v1
• [stat.ML]Learning Mixture Model with Missing Values and its Application to Rankings
Devavrat Shah, Dogyoon Song
http://arxiv.org/abs/1812.11917v1
• [stat.ML]Multivariate Arrival Times with Recurrent Neural Networks for Personalized Demand Forecasting
Tianle Chen, Brian Keng, Javier Moreno
http://arxiv.org/abs/1812.11444v1
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