astro-ph.GA - 星系天体物理学
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.DS - 数据结构与算法 cs.ET - 新兴技术 cs.GT - 计算机科学与博弈论 cs.HC - 人机接口 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.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 econ.TH - 理论经济学 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.bio-ph - 生物物理 q-bio.NC - 神经元与认知 q-fin.CP -计算金融学 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [astro-ph.GA]Deriving star cluster parameters with convolutional neural networks. II. Extinction and cluster/background classification
• [cs.AI]Analysis of Evolutionary Behavior in Self-Learning Media Search Engines
• [cs.AI]Cost-Based Goal Recognition Meets Deep Learning
• [cs.AI]Domain Knowledge Aided Explainable Artificial Intelligence for Intrusion Detection and Response
• [cs.AI]Machine: The New Art Connoisseur
• [cs.AI]Moral Dilemmas for Artificial Intelligence: a position paper on an application of Compositional Quantum Cognition
• [cs.AI]Towards Quantification of Explainability in Explainable Artificial Intelligence Methods
• [cs.AI]Verbal Programming of Robot Behavior
• [cs.CL]A Discrete CVAE for Response Generation on Short-Text Conversation
• [cs.CL]Anaphora Resolution in Dialogue Systems for South Asian Languages
• [cs.CL]Are Noisy Sentences Useless for Distant Supervised Relation Extraction?
• [cs.CL]CRUR: Coupled-Recurrent Unit for Unification, Conceptualization and Context Capture for Language Representation — A Generalization of Bi Directional LSTM
• [cs.CL]Classifying Vietnamese Disease Outbreak Reports with Important Sentences and Rich Features
• [cs.CL]Continual adaptation for efficient machine communication
• [cs.CL]Effective Modeling of Encoder-Decoder Architecture for Joint Entity and Relation Extraction
• [cs.CL]Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks
• [cs.CL]High Quality ELMo Embeddings for Seven Less-Resourced Languages
• [cs.CL]Interactive Text Ranking with Bayesian Optimisation: A Case Study on Community QA and Summarisation
• [cs.CL]Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering
• [cs.CL]LATTE: Latent Type Modeling for Biomedical Entity Linking
• [cs.CL]Learning Multi-level Dependencies for Robust Word Recognition
• [cs.CL]Learning to Caption Images with Two-Stream Attention and Sentence Auto-Encoder
• [cs.CL]Multilingual Culture-Independent Word Analogy Datasets
• [cs.CL]Neuron Interaction Based Representation Composition for Neural Machine Translation
• [cs.CL]Resource production of written forms of Sign Languages by a user-centered editor, SWift (SignWriting improved fast transcriber)
• [cs.CL]Speech Sentiment Analysis via Pre-trained Features from End-to-end ASR Models
• [cs.CL]TPsgtR: Neural-Symbolic Tensor Product Scene-Graph-Triplet Representation for Image Captioning
• [cs.CL]The JDDC Corpus: A Large-Scale Multi-Turn Chinese Dialogue Dataset forE-commerce Customer Service
• [cs.CL]Topical Phrase Extraction from Clinical Reports by Incorporating both Local and Global Context
• [cs.CL]Weakly-Supervised Opinion Summarization by Leveraging External Information
• [cs.CL]Zero-Resource Cross-Lingual Named Entity Recognition
• [cs.CR]Blockchain-Based Electronic Voting System for Elections in Turkey
• [cs.CR]DL-Droid: Deep learning based android malware detection using real devices
• [cs.CR]Insider threats in Cyber Security: The enemy within the gates
• [cs.CR]This Car is Mine!: Automobile Theft Countermeasure Leveraging Driver Identification with Generative Adversarial Networks
• [cs.CV]A Comparative Evaluation of SGM Variants (including a New Variant, tMGM) for Dense Stereo Matching
• [cs.CV]Background Suppression Network for Weakly-supervised Temporal Action Localization
• [cs.CV]BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks
• [cs.CV]Characterizing the impact of using features extracted from pre-trained models on the quality of video captioning sequence-to-sequence models
• [cs.CV]Class-specific residual constraint non-negative representation for pattern classification
• [cs.CV]Computational Ceramicology
• [cs.CV]Computer Vision-based Accident Detection in Traffic Surveillance
• [cs.CV]Crowd Density Forecasting by Modeling Patch-based Dynamics
• [cs.CV]DLGAN: Disentangling Label-Specific Fine-Grained Features for Image Manipulation
• [cs.CV]Domain Adaptation for Object Detection via Style Consistency
• [cs.CV]Fast Sparse ConvNets
• [cs.CV]Graph Pruning for Model Compression
• [cs.CV]Identify the cells’ nuclei based on the deep learning neural network
• [cs.CV]Learnable Pooling in Graph Convolution Networks for Brain Surface Analysis
• [cs.CV]Learning End-To-End Scene Flow by Distilling Single Tasks Knowledge
• [cs.CV]Locality Constraint Dictionary Learning with Support Vector for Pattern Classification
• [cs.CV]MIMAMO Net: Integrating Micro- and Macro-motion for Video Emotion Recognition
• [cs.CV]Orderless Recurrent Models for Multi-label Classification
• [cs.CV]PAG-Net: Progressive Attention Guided Depth Super-resolution Network
• [cs.CV]Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation
• [cs.CV]PointPainting: Sequential Fusion for 3D Object Detection
• [cs.CV]Real-time Ultrasound-enhanced Multimodal Imaging of Tongue using 3D Printable Stabilizer System: A Deep Learning Approach
• [cs.CV]Reinforcing an Image Caption Generator Using Off-Line Human Feedback
• [cs.CV]Rethinking Normalization and Elimination Singularity in Neural Networks
• [cs.CV]SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection
• [cs.CV]SelfVIO: Self-Supervised Deep Monocular Visual-Inertial Odometry and Depth Estimation
• [cs.CV]Spotting insects from satellites: modeling the presence of Culicoides imicola through Deep CNNs
• [cs.CV]Unsupervised Learning for Intrinsic Image Decomposition from a Single Image
• [cs.CV]Visual Relationship Detection with Low Rank Non-Negative Tensor Decomposition
• [cs.CY]An Innovative Approach to Addressing Childhood Obesity: A Knowledge-Based Infrastructure for Supporting Multi-Stakeholder Partnership Decision-Making in Quebec, Canada
• [cs.CY]Collective Dynamics of Dark Web Marketplaces
• [cs.CY]Geo-clustered chronic affinity: pathways from socio-economic disadvantages to health disparities
• [cs.CY]Knowledge Network and a Knowledge Network Example
• [cs.CY]Minority Voter Distributions and Partisan Gerrymandering
• [cs.DC]Archipelago: A Scalable Low-Latency Serverless Platform
• [cs.DC]Decentralized Consensus Optimization Based on Parallel Random Walk
• [cs.DC]Effectively Prefetching Remote Memory with Leap
• [cs.DC]Gemmini: An Agile Systolic Array Generator Enabling Systematic Evaluations of Deep-Learning Architectures
• [cs.DM]On the separation of shape and temporal patterns in time series -Application to signature authentication-
• [cs.DS]Privately Learning Thresholds: Closing the Exponential Gap
• [cs.ET]Implementation of Optical Deep Neural Networks using the Fabry-Perot Interferometer
• [cs.GT]Facility Location Problem with Capacity Constraints: Algorithmic and Mechanism Design Perspectives
• [cs.HC]SWift — A SignWriting editor to bridge between deaf world and e-learning
• [cs.IR]A Data Set of Internet Claims and Comparison of their Sentiments with Credibility
• [cs.IR]Global Health Monitor: A Web-based System for Detecting and Mapping Infectious Diseases
• [cs.IR]Learning Feature Interactions with Lorentzian Factorization Machine
• [cs.IR]Performance Effectiveness of Multimedia Information Search Using the Epsilon-Greedy Algorithm
• [cs.IR]Separate and Attend in Personal Email Search
• [cs.IT]Asymmetric entanglement-assisted quantum error-correcting codes and BCH codes
• [cs.IT]Capacity scaling in a Non-coherent Wideband Massive SIMO Block Fading Channel
• [cs.IT]Compressed Sensing Channel Estimation for OFDM with non-Gaussian Multipath Gains
• [cs.IT]Covering Codes for Insertions and Deletions
• [cs.IT]Efficient Drone Mobility Support Using Reinforcement Learning
• [cs.IT]Full Characterization of Minimal Linear Codes as Cutting Blocking Sets
• [cs.IT]Leveraging Sensing at the Infrastructure for mmWave Communication
• [cs.IT]Matrix Completion from Quantized Samples via Generalized Sparse Bayesian Learning
• [cs.IT]Optimal Non-Coherent Detector for Ambient Backscatter Communication System
• [cs.IT]Probability Analysis of Age of Information in Multi-hop Networks
• [cs.LG]A Transfer Learning Method for Goal Recognition Exploiting Cross-Domain Spatial Features
• [cs.LG]Actively Learning Gaussian Process Dynamics
• [cs.LG]Adversarial Learning of Privacy-Preserving and Task-Oriented Representations
• [cs.LG]An Alternative Cross Entropy Loss for Learning-to-Rank
• [cs.LG]Attack Agnostic Statistical Method for Adversarial Detection
• [cs.LG]Communication-Efficient and Byzantine-Robust Distributed Learning
• [cs.LG]DBSN: Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structures
• [cs.LG]Data Programming using Continuous and Quality-Guided Labeling Functions
• [cs.LG]Differentiable Algorithm for Marginalising Changepoints
• [cs.LG]Economy Statistical Recurrent Units For Inferring Nonlinear Granger Causality
• [cs.LG]Factorized Multimodal Transformer for Multimodal Sequential Learning
• [cs.LG]Federated Learning with Bayesian Differential Privacy
• [cs.LG]Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks
• [cs.LG]Fleet Control using Coregionalized Gaussian Process Policy Iteration
• [cs.LG]Graph Convolution Networks for Probabilistic Modeling of Driving Acceleration
• [cs.LG]HAL: Improved Text-Image Matching by Mitigating Visual Semantic Hubs
• [cs.LG]Instance Cross Entropy for Deep Metric Learning
• [cs.LG]Investigating bankruptcy prediction models in the presence of extreme class imbalance and multiple stages of economy
• [cs.LG]Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution
• [cs.LG]Neural Networks Learning and Memorization with (almost) no Over-Parameterization
• [cs.LG]Noise Induces Loss Discrepancy Across Groups for Linear Regression
• [cs.LG]Optimizing Data Usage via Differentiable Rewards
• [cs.LG]Order Matters at Fanatics Recommending Sequentially Ordered Products by LSTM Embedded with Word2Vec
• [cs.LG]Parallel Distributed Logistic Regression for Vertical Federated Learning without Third-Party Coordinator
• [cs.LG]Privacy-preserving parametric inference: a case for robust statistics
• [cs.LG]ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring
• [cs.LG]Responsible Scoring Mechanisms Through Function Sampling
• [cs.LG]Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems
• [cs.LG]SparseTrain:Leveraging Dynamic Sparsity in Training DNNs on General-Purpose SIMD Processors
• [cs.LG]Supervised and Semi-supervised Deep Learning-based Models for Indoor Location Prediction and Recognition
• [cs.LG]Synthetic vs Real: Deep Learning on Controlled Noise
• [cs.LG]Thompson Sampling for Factored Multi-Agent Bandits
• [cs.LG]TreeGen: A Tree-Based Transformer Architecture for Code Generation
• [cs.LG]Universal adversarial examples in speech command classification
• [cs.LG]Unsupervised Features Learning for Sampled Vector Fields
• [cs.LG]ptype: Probabilistic Type Inference
• [cs.MA]Culture-Based Explainable Human-Agent Deconfliction
• [cs.MA]Multi-Objective Multi-Agent Planning for Jointly Discovering and Tracking Mobile Object
• [cs.NE]Artificial neural networks in action for an automated cell-type classification of biological neural networks
• [cs.NE]Technical report: supervised training of convolutional spiking neural networks with PyTorch
• [cs.RO]A GNC Architecture for Planetary Rovers with Autonomous Navigation Capabilities
• [cs.RO]A Unified Method for Solving Inverse, Forward, and Hybrid Manipulator Dynamics using Factor Graphs
• [cs.RO]Constrained Heterogeneous Vehicle Path Planning for Large-area Coverage
• [cs.RO]RoboSherlock: Cognition-enabled Robot Perception for Everyday Manipulation Tasks
• [cs.RO]Simplified_edition_Multi-robot SLAM Multi-view Target Tracking based on Panoramic Vision in Irregular Environment
• [cs.RO]SwarmCloak: Landing of a Swarm of Nano-Quadrotors on Human Arms
• [cs.RO]Using Socially Expressive Mixed Reality Arms for Enhancing Low-Expressivity Robots
• [cs.SD]GANkyoku: a Generative Adversarial Network for Shakuhachi Music
• [cs.SI]Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning
• [econ.TH]Speed of Rational Social Learning in Networks with Gaussian Information
• [eess.IV]2SDR: Applying Kronecker Envelope PCA to denoise Cryo-EM Images
• [eess.IV]Direct Classification of Type 2 Diabetes From Retinal Fundus Images in a Population-based Sample From The Maastricht Study
• [eess.IV]Dual Learning-based Video Coding with Inception Dense Blocks
• [eess.IV]HybridNetSeg: A Compact Hybrid Network for Retinal Vessel Segmentation
• [eess.IV]Retinal Vessel Segmentation based on Fully Convolutional Networks
• [eess.IV]Shape Detection In 2D Ultrasound Images
• [eess.IV]Spectral Graph Transformer Networks for Brain Surface Parcellation
• [eess.SP]Maximum Entropy Models from Phase Harmonic Covariances
• [eess.SP]Neural Turbo Equalization: Deep Learning for Fiber-Optic Nonlinearity Compensation
• [eess.SP]UAV-enabled Secure Communication with Finite Blocklength
• [eess.SY]Learning Robustness with Bounded Failure: An Iterative MPC Approach
• [eess.SY]Robust Learning-based Predictive Control for Constrained Nonlinear Systems
• [math.OC]Data-driven Variable Speed Limit Design with Performance Guarantees for Highways
• [math.OC]On an Optimal Solution to the Film Scheduling and Showtime Staggering Problem
• [math.PR]Sparse random tensors: concentration, regularization and applications
• [math.ST]Interventional Markov Equivalence for Mixed Graph Models
• [math.ST]Local Spectral Clustering of Density Upper Level Sets
• [math.ST]On comparison of estimators for proportional error nonlinear regression models in the limit of small measurement error
• [physics.bio-ph]Machine learning for protein folding and dynamics
• [q-bio.NC]Decision Making guided by Emotion A computational architecture
• [q-fin.CP]Deep Reinforcement Learning for Trading
• [stat.AP]Adversarial Risk Analysis for First-Price Sealed-Bid Auctions
• [stat.AP]Enabling Personalized Decision Support with Patient-Generated Data and Attributable Components
• [stat.AP]Ensuring Reliable Monte Carlo Estimates of Network Properties
• [stat.AP]Mixture survival models methodology: an application to cancer immunotherapy assessment in clinical trials
• [stat.AP]Sets of Half-Average Nulls Generate Risk-Limiting Audits: SHANGRLA
• [stat.ME]Bootstrap Inference for Multiple Imputation under Uncongeniality and Misspecification
• [stat.ME]Calibration of the Pareto and related distributions -a reference-intrinsic approach
• [stat.ME]Controlling False Discovery Rate Using Gaussian Mirrors
• [stat.ME]Cross-trait prediction accuracy of high-dimensional ridge-type estimators in genome-wide association studies
• [stat.ME]Debiased Inverse-Variance Weighted Estimator in Two-Sample Summary-Data Mendelian Randomization
• [stat.ME]Estimating knots in bilinear spline growth mixture models with time-invariant covariates in the framework of individual measurement occasions
• [stat.ME]Estimating knots in bilinear spline growth models with time-invariant covariates in the framework of individual measurement occasions
• [stat.ME]Multi-model mimicry for model selection according to generalised goodness-of-fit criteria
• [stat.ME]On the use of information criteria for subset selection in least squares regression
• [stat.ME]Spatial Autoregressive Models for Scan Statistic
• [stat.ML]Information-Theoretic Confidence Bounds for Reinforcement Learning
·····································
• [astro-ph.GA]Deriving star cluster parameters with convolutional neural networks. II. Extinction and cluster/background classification
J. Bialopetravičius, D. Narbutis
http://arxiv.org/abs/1911.10059v1
• [cs.AI]Analysis of Evolutionary Behavior in Self-Learning Media Search Engines
Nikki Lijing Kuang, Clement H. C. Leung
http://arxiv.org/abs/1911.09882v1
• [cs.AI]Cost-Based Goal Recognition Meets Deep Learning
Mariane Maynard, Thibault Duhamel, Froduald Kabanza
http://arxiv.org/abs/1911.10074v1
• [cs.AI]Domain Knowledge Aided Explainable Artificial Intelligence for Intrusion Detection and Response
Sheikh Rabiul Islam, William Eberle, Sheikh K. Ghafoor, Ambareen Siraj, Mike Rogers
http://arxiv.org/abs/1911.09853v1
• [cs.AI]Machine: The New Art Connoisseur
Yucheng Zhu, Yanrong Ji, Yueying Zhang, Linxin Xu, Aven Le Zhou, Ellick Chan
http://arxiv.org/abs/1911.10091v1
• [cs.AI]Moral Dilemmas for Artificial Intelligence: a position paper on an application of Compositional Quantum Cognition
Camilo M. Signorelli, Xerxes D. Arsiwalla
http://arxiv.org/abs/1911.10154v1
• [cs.AI]Towards Quantification of Explainability in Explainable Artificial Intelligence Methods
Sheikh Rabiul Islam, William Eberle, Sheikh K. Ghafoor
http://arxiv.org/abs/1911.10104v1
• [cs.AI]Verbal Programming of Robot Behavior
Jonathan Connell
http://arxiv.org/abs/1911.09782v1
• [cs.CL]A Discrete CVAE for Response Generation on Short-Text Conversation
Jun Gao, Wei Bi, Xiaojiang Liu, Junhui Li, Guodong Zhou, Shuming Shi
http://arxiv.org/abs/1911.09845v1
• [cs.CL]Anaphora Resolution in Dialogue Systems for South Asian Languages
Vinay Annam, Nikhil Koditala, Radhika Mamidi
http://arxiv.org/abs/1911.09994v1
• [cs.CL]Are Noisy Sentences Useless for Distant Supervised Relation Extraction?
Yuming Shang
http://arxiv.org/abs/1911.09788v1
• [cs.CL]CRUR: Coupled-Recurrent Unit for Unification, Conceptualization and Context Capture for Language Representation — A Generalization of Bi Directional LSTM
Chiranjib Sur
http://arxiv.org/abs/1911.10132v1
• [cs.CL]Classifying Vietnamese Disease Outbreak Reports with Important Sentences and Rich Features
Son Doan, Nguyen Thi Ngoc Vinh, Tu Minh Phuong
http://arxiv.org/abs/1911.09883v1
• [cs.CL]Continual adaptation for efficient machine communication
Robert D. Hawkins, Minae Kwon, Dorsa Sadigh, Noah D. Goodman
http://arxiv.org/abs/1911.09896v1
• [cs.CL]Effective Modeling of Encoder-Decoder Architecture for Joint Entity and Relation Extraction
Tapas Nayak, Hwee Tou Ng
http://arxiv.org/abs/1911.09886v1
• [cs.CL]Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks
Yong Wang, Longyue Wang, Shuming Shi, Victor O. K. Li, Zhaopeng Tu
http://arxiv.org/abs/1911.09912v1
• [cs.CL]High Quality ELMo Embeddings for Seven Less-Resourced Languages
Matej Ulčar, Marko Robnik-Šikonja
http://arxiv.org/abs/1911.10049v1
• [cs.CL]Interactive Text Ranking with Bayesian Optimisation: A Case Study on Community QA and Summarisation
Edwin Simpson, Yang Gao, Iryna Gurevych
http://arxiv.org/abs/1911.10183v1
• [cs.CL]Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering
Yang Deng, Wai Lam, Yuexiang Xie, Daoyuan Chen, Yaliang Li, Min Yang, Ying Shen
http://arxiv.org/abs/1911.09801v1
• [cs.CL]LATTE: Latent Type Modeling for Biomedical Entity Linking
Ming Zhu, Busra Celikkaya, Parminder Bhatia, Chandan K. Reddy
http://arxiv.org/abs/1911.09787v1
• [cs.CL]Learning Multi-level Dependencies for Robust Word Recognition
Zhiwei Wang, Hui Liu, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu
http://arxiv.org/abs/1911.09789v1
• [cs.CL]Learning to Caption Images with Two-Stream Attention and Sentence Auto-Encoder
Arushi Goel, Basura Fernando, Thanh-Son Nguyen, Hakan Bilen
http://arxiv.org/abs/1911.10082v1
• [cs.CL]Multilingual Culture-Independent Word Analogy Datasets
Matej Ulčar, Marko Robnik-Šikonja
http://arxiv.org/abs/1911.10038v1
• [cs.CL]Neuron Interaction Based Representation Composition for Neural Machine Translation
Jian Li, Xing Wang, Baosong Yang, Shuming Shi, Michael R. Lyu, Zhaopeng Tu
http://arxiv.org/abs/1911.09877v1
• [cs.CL]Resource production of written forms of Sign Languages by a user-centered editor, SWift (SignWriting improved fast transcriber)
Fabrizio Borgia, Claudia S. Bianchini, Patrice Dalle, Maria de Marsico
http://arxiv.org/abs/1911.09919v1
• [cs.CL]Speech Sentiment Analysis via Pre-trained Features from End-to-end ASR Models
Zhiyun Lu, Liangliang Cao, Yu Zhang, Chung-Cheng Chiu, James Fan
http://arxiv.org/abs/1911.09762v1
• [cs.CL]TPsgtR: Neural-Symbolic Tensor Product Scene-Graph-Triplet Representation for Image Captioning
Chiranjib Sur
http://arxiv.org/abs/1911.10115v1
• [cs.CL]The JDDC Corpus: A Large-Scale Multi-Turn Chinese Dialogue Dataset forE-commerce Customer Service
Meng Chen, Ruixue Liu, Lei Shen, Shaozu Yuan, Jingyan Zhou, Youzheng Wu, Xiaodong He, Bowen Zhou
http://arxiv.org/abs/1911.09969v1
• [cs.CL]Topical Phrase Extraction from Clinical Reports by Incorporating both Local and Global Context
Gabriele Pergola, Yulan He, David Lowe
http://arxiv.org/abs/1911.10180v1
• [cs.CL]Weakly-Supervised Opinion Summarization by Leveraging External Information
Chao Zhao, Snigdha Chaturvedi
http://arxiv.org/abs/1911.09844v1
• [cs.CL]Zero-Resource Cross-Lingual Named Entity Recognition
M Saiful Bari, Shafiq Joty, Prathyusha Jwalapuram
http://arxiv.org/abs/1911.09812v1
• [cs.CR]Blockchain-Based Electronic Voting System for Elections in Turkey
Rumeysa Bulut, Alperen Kantarcı, Safa Keskin, Şerif Bahtiyar
http://arxiv.org/abs/1911.09903v1
• [cs.CR]DL-Droid: Deep learning based android malware detection using real devices
Mohammed K. Alzaylaee, Suleiman Y. Yerima, Sakir Sezer
http://arxiv.org/abs/1911.10113v1
• [cs.CR]Insider threats in Cyber Security: The enemy within the gates
Guerrino Mazzarolo, Anca Delia Jurcut
http://arxiv.org/abs/1911.09575v1
• [cs.CR]This Car is Mine!: Automobile Theft Countermeasure Leveraging Driver Identification with Generative Adversarial Networks
Kyung Ho Park, Huy Kang Kim
http://arxiv.org/abs/1911.09870v1
• [cs.CV]A Comparative Evaluation of SGM Variants (including a New Variant, tMGM) for Dense Stereo Matching
Sonali Patil, Tanmay Prakash, Bharath Comandur, Avinash Kak
http://arxiv.org/abs/1911.09800v1
• [cs.CV]Background Suppression Network for Weakly-supervised Temporal Action Localization
Pilhyeon Lee, Youngjung Uh, Hyeran Byun
http://arxiv.org/abs/1911.09963v1
• [cs.CV]BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks
Yao Yao, Zixin Luo, Shiwei Li, Jingyang Zhang, Yufan Ren, Lei Zhou, Tian Fang, Long Quan
http://arxiv.org/abs/1911.10127v1
• [cs.CV]Characterizing the impact of using features extracted from pre-trained models on the quality of video captioning sequence-to-sequence models
Menatallh Hammad, May Hammad, Mohamed Elshenawy
http://arxiv.org/abs/1911.09989v1
• [cs.CV]Class-specific residual constraint non-negative representation for pattern classification
He-Feng Yin, Xiao-Jun Wu
http://arxiv.org/abs/1911.09953v1
• [cs.CV]Computational Ceramicology
Barak Itkin, Lior Wolf, Nachum Dershowitz
http://arxiv.org/abs/1911.09960v1
• [cs.CV]Computer Vision-based Accident Detection in Traffic Surveillance
Earnest Paul Ijjina, Dhananjai Chand, Savyasachi Gupta, Goutham K
http://arxiv.org/abs/1911.10037v1
• [cs.CV]Crowd Density Forecasting by Modeling Patch-based Dynamics
Hiroaki Minoura, Ryo Yonetani, Mai Nishimura, Yoshitaka Ushiku
http://arxiv.org/abs/1911.09814v1
• [cs.CV]DLGAN: Disentangling Label-Specific Fine-Grained Features for Image Manipulation
Guanqi Zhan, Yihao Zhao, Bingchan Zhao, Haoqi Yuan, Baoquan Chen, Hao Dong
http://arxiv.org/abs/1911.09943v1
• [cs.CV]Domain Adaptation for Object Detection via Style Consistency
Adrian Lopez Rodriguez, Krystian Mikolajczyk
http://arxiv.org/abs/1911.10033v1
• [cs.CV]Fast Sparse ConvNets
Erich Elsen, Marat Dukhan, Trevor Gale, Karen Simonyan
http://arxiv.org/abs/1911.09723v1
• [cs.CV]Graph Pruning for Model Compression
Mingyang Zhang, Xinyi Yu, Jingtao Rong, Linlin Ou, Weidong Zhang
http://arxiv.org/abs/1911.09817v1
• [cs.CV]Identify the cells’ nuclei based on the deep learning neural network
Tianyang Zhang, Rui Ma
http://arxiv.org/abs/1911.09830v1
• [cs.CV]Learnable Pooling in Graph Convolution Networks for Brain Surface Analysis
Karthik Gopinath, Christian Desrosiers, Herve Lombaert
http://arxiv.org/abs/1911.10129v1
• [cs.CV]Learning End-To-End Scene Flow by Distilling Single Tasks Knowledge
Filippo Aleotti, Matteo Poggi, Fabio Tosi, Stefano Mattoccia
http://arxiv.org/abs/1911.10090v1
• [cs.CV]Locality Constraint Dictionary Learning with Support Vector for Pattern Classification
He-Feng Yin, Xiao-Jun Wu, Su-Gen Chen
http://arxiv.org/abs/1911.10003v1
• [cs.CV]MIMAMO Net: Integrating Micro- and Macro-motion for Video Emotion Recognition
Didan Deng, Zhaokang Chen, Yuqian Zhou, Bertram Shi
http://arxiv.org/abs/1911.09784v1
• [cs.CV]Orderless Recurrent Models for Multi-label Classification
Vacit Oguz Yazici, Abel Gonzalez-Garcia, Arnau Ramisa, Bartlomiej Twardowski, Joost van de Weijer
http://arxiv.org/abs/1911.09996v1
• [cs.CV]PAG-Net: Progressive Attention Guided Depth Super-resolution Network
Arpit Bansal, Sankaraganesh Jonna, Rajiv R. Sahay
http://arxiv.org/abs/1911.09878v1
• [cs.CV]Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation
Bowen Cheng, Maxwell D. Collins, Yukun Zhu, Ting Liu, Thomas S. Huang, Hartwig Adam, Liang-Chieh Chen
http://arxiv.org/abs/1911.10194v1
• [cs.CV]PointPainting: Sequential Fusion for 3D Object Detection
Sourabh Vora, Alex H. Lang, Bassam Helou, Oscar Beijbom
http://arxiv.org/abs/1911.10150v1
• [cs.CV]Real-time Ultrasound-enhanced Multimodal Imaging of Tongue using 3D Printable Stabilizer System: A Deep Learning Approach
M. Hamed Mozaffari, Won-Sook Lee
http://arxiv.org/abs/1911.09840v1
• [cs.CV]Reinforcing an Image Caption Generator Using Off-Line Human Feedback
Paul Hongsuck Seo, Piyush Sharma, Tomer Levinboim, Bohyung Han, Radu Soricut
http://arxiv.org/abs/1911.09753v1
• [cs.CV]Rethinking Normalization and Elimination Singularity in Neural Networks
Siyuan Qiao, Huiyu Wang, Chenxi Liu, Wei Shen, Alan Yuille
http://arxiv.org/abs/1911.09738v1
• [cs.CV]SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection
Lewei Yao, Hang Xu, Wei Zhang, Xiaodan Liang, Zhenguo Li
http://arxiv.org/abs/1911.09929v1
• [cs.CV]SelfVIO: Self-Supervised Deep Monocular Visual-Inertial Odometry and Depth Estimation
Yasin Almalioglu, Mehmet Turan, Alp Eren Sari, Muhamad Risqi U. Saputra, Pedro P. B. de Gusmão, Andrew Markham, Niki Trigoni
http://arxiv.org/abs/1911.09968v1
• [cs.CV]Spotting insects from satellites: modeling the presence of Culicoides imicola through Deep CNNs
Stefano Vincenzi, Angelo Porrello, Pietro Buzzega, Annamaria Conte, Carla Ippoliti, Luca Candeloro, Alessio Di Lorenzo, Andrea Capobianco Dondona, Simone Calderara
http://arxiv.org/abs/1911.10024v1
• [cs.CV]Unsupervised Learning for Intrinsic Image Decomposition from a Single Image
Yunfei Liu, Yu Li, Shaodi You, Feng Lu
http://arxiv.org/abs/1911.09930v1
• [cs.CV]Visual Relationship Detection with Low Rank Non-Negative Tensor Decomposition
Mohammed Haroon Dupty, Zhen Zhang, Wee Sun Lee
http://arxiv.org/abs/1911.09895v1
• [cs.CY]An Innovative Approach to Addressing Childhood Obesity: A Knowledge-Based Infrastructure for Supporting Multi-Stakeholder Partnership Decision-Making in Quebec, Canada
Nii Antiaye Addy, Arash Shaban-Nejad, David L. Buckeridge, Laurette Dubé
http://arxiv.org/abs/1911.09763v1
• [cs.CY]Collective Dynamics of Dark Web Marketplaces
Abeer ElBahrawy, Laura Alessandretti, Leonid Rusnac, Daniel Goldsmith, Alexander Teytelboym, Andrea Baronchelli
http://arxiv.org/abs/1911.09536v1
• [cs.CY]Geo-clustered chronic affinity: pathways from socio-economic disadvantages to health disparities
Eun Kyong Shin, Youngsang Kwon, Arash Shaban-Nejad
http://arxiv.org/abs/1911.09769v1
• [cs.CY]Knowledge Network and a Knowledge Network Example
Hilmi Bahadır Temur, Ahmet Serdar Yılmaz, Mehmet Tekerek
http://arxiv.org/abs/1911.09899v1
• [cs.CY]Minority Voter Distributions and Partisan Gerrymandering
Jiahua Chen, Aneesha Manne, Rebecca Mendum, Poonam Sahoo, Alicia Yang
http://arxiv.org/abs/1911.09792v1
• [cs.DC]Archipelago: A Scalable Low-Latency Serverless Platform
Arjun Singhvi, Kevin Houck, Arjun Balasubramanian, Mohammed Danish Shaikh, Shivaram Venkataraman, Aditya Akella
http://arxiv.org/abs/1911.09849v1
• [cs.DC]Decentralized Consensus Optimization Based on Parallel Random Walk
Yu Ye, Hao Chen, Zheng Ma, Ming Xiao
http://arxiv.org/abs/1911.09747v1
• [cs.DC]Effectively Prefetching Remote Memory with Leap
Hasan Al Maruf, Mosharaf Chowdhury
http://arxiv.org/abs/1911.09829v1
• [cs.DC]Gemmini: An Agile Systolic Array Generator Enabling Systematic Evaluations of Deep-Learning Architectures
Hasan Genc, Ameer Haj-Ali, Vighnesh Iyer, Alon Amid, Howard Mao, John Wright, Colin Schmidt, Jerry Zhao, Albert Ou, Max Banister, Yakun Sophia Shao, Borivoje Nikolic, Ion Stoica, Krste Asanovic
http://arxiv.org/abs/1911.09925v1
• [cs.DM]On the separation of shape and temporal patterns in time series -Application to signature authentication-
Pierre-François Marteau
http://arxiv.org/abs/1911.09360v2
• [cs.DS]Privately Learning Thresholds: Closing the Exponential Gap
Haim Kaplan, Katrina Ligett, Yishay Mansour, Moni Naor, Uri Stemmer
http://arxiv.org/abs/1911.10137v1
• [cs.ET]Implementation of Optical Deep Neural Networks using the Fabry-Perot Interferometer
Benjamin D. Steel
http://arxiv.org/abs/1911.10109v1
• [cs.GT]Facility Location Problem with Capacity Constraints: Algorithmic and Mechanism Design Perspectives
Haris Aziz, Hau Chan, Barton E. Lee, Bo Li, Toby Walsh
http://arxiv.org/abs/1911.09813v1
• [cs.HC]SWift — A SignWriting editor to bridge between deaf world and e-learning
Claudia S. Bianchini, Fabrizio Borgia, Maria de Marsico
http://arxiv.org/abs/1911.09923v1
• [cs.IR]A Data Set of Internet Claims and Comparison of their Sentiments with Credibility
Amey Parundekar, Susan Elias, Ashwin Ashok
http://arxiv.org/abs/1911.10130v1
• [cs.IR]Global Health Monitor: A Web-based System for Detecting and Mapping Infectious Diseases
Son Doan, Quoc-Hung Ngo, Ai Kawazoe, Nigel Collier
http://arxiv.org/abs/1911.09735v1
• [cs.IR]Learning Feature Interactions with Lorentzian Factorization Machine
Canran Xu, Ming Wu
http://arxiv.org/abs/1911.09821v1
• [cs.IR]Performance Effectiveness of Multimedia Information Search Using the Epsilon-Greedy Algorithm
Nikki Lijing Kuang, Clement H. C. Leung
http://arxiv.org/abs/1911.09891v1
• [cs.IR]Separate and Attend in Personal Email Search
Yu Meng, Maryam Karimzadehgan, Honglei Zhuang, Donald Metzler
http://arxiv.org/abs/1911.09732v1
• [cs.IT]Asymmetric entanglement-assisted quantum error-correcting codes and BCH codes
Carlos Galindo, Fernando Hernando, Ryutaroh Matsumoto, Diego Ruano
http://arxiv.org/abs/1911.10031v1
• [cs.IT]Capacity scaling in a Non-coherent Wideband Massive SIMO Block Fading Channel
Felipe Gomez-Cuba, Mainak Chowdhury, Alexandros Manolakos, Elza Erkip, Andrea J. Goldsmith
http://arxiv.org/abs/1911.09965v1
• [cs.IT]Compressed Sensing Channel Estimation for OFDM with non-Gaussian Multipath Gains
Felipe Gomez-Cuba, Andrea J. Goldsmith
http://arxiv.org/abs/1911.09970v1
• [cs.IT]Covering Codes for Insertions and Deletions
Andreas Lenz, Cyrus Rashtchian, Paul H. Siegel, Eitan Yaakobi
http://arxiv.org/abs/1911.09944v1
• [cs.IT]Efficient Drone Mobility Support Using Reinforcement Learning
Yun Chen, Xingqin Lin, Talha Khan, Mohammad Mozaffari
http://arxiv.org/abs/1911.09715v1
• [cs.IT]Full Characterization of Minimal Linear Codes as Cutting Blocking Sets
Chunming Tang, Yan Qiu, Qunying Liao, Zhengchun Zhou
http://arxiv.org/abs/1911.09867v1
• [cs.IT]Leveraging Sensing at the Infrastructure for mmWave Communication
Anum Ali, Nuria González-Prelcic, Robert W. Heath Jr., Amitava Ghosh
http://arxiv.org/abs/1911.09796v1
• [cs.IT]Matrix Completion from Quantized Samples via Generalized Sparse Bayesian Learning
Jiang Zhu, Zhennan Liu, Qi Zhang, Chunyi Song, Zhiwei Xu
http://arxiv.org/abs/1911.09935v1
• [cs.IT]Optimal Non-Coherent Detector for Ambient Backscatter Communication System
Sudarshan Guruacharya, Xiao Lu, Ekram Hossain
http://arxiv.org/abs/1911.10105v1
• [cs.IT]Probability Analysis of Age of Information in Multi-hop Networks
Onur Ayan, H. Murat Gürsu, Arled Papa, Wolfgang Kellerer
http://arxiv.org/abs/1911.09957v1
• [cs.LG]A Transfer Learning Method for Goal Recognition Exploiting Cross-Domain Spatial Features
Thibault Duhamel, Mariane Maynard, Froduald Kabanza
http://arxiv.org/abs/1911.10134v1
• [cs.LG]Actively Learning Gaussian Process Dynamics
Mona Buisson-Fenet, Friedrich Solowjow, Sebastian Trimpe
http://arxiv.org/abs/1911.09946v1
• [cs.LG]Adversarial Learning of Privacy-Preserving and Task-Oriented Representations
Taihong Xiao, Yi-Hsuan Tsai, Kihyuk Sohn, Manmohan Chandraker, Ming-Hsuan Yang
http://arxiv.org/abs/1911.10143v1
• [cs.LG]An Alternative Cross Entropy Loss for Learning-to-Rank
Sebastian Bruch
http://arxiv.org/abs/1911.09798v1
• [cs.LG]Attack Agnostic Statistical Method for Adversarial Detection
Sambuddha Saha, Aashish Kumar, Pratyush Sahay, George Jose, Srinivas Kruthiventi, Harikrishna Muralidhara
http://arxiv.org/abs/1911.10008v1
• [cs.LG]Communication-Efficient and Byzantine-Robust Distributed Learning
Avishek Ghosh, Raj Kumar Maity, Swanand Kadhe, Arya Mazumdar, Kannan Ramchandran
http://arxiv.org/abs/1911.09721v1
• [cs.LG]DBSN: Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structures
Zhijie Deng, Yucen Luo, Jun Zhu, Bo Zhang
http://arxiv.org/abs/1911.09804v1
• [cs.LG]Data Programming using Continuous and Quality-Guided Labeling Functions
Oishik Chatterjee, Ganesh Ramakrishnan, Sunita Sarawagi
http://arxiv.org/abs/1911.09860v1
• [cs.LG]Differentiable Algorithm for Marginalising Changepoints
Hyoungjin Lim, Gwonsoo Che, Wonyeol Lee, Hongseok Yang
http://arxiv.org/abs/1911.09839v1
• [cs.LG]Economy Statistical Recurrent Units For Inferring Nonlinear Granger Causality
Saurabh Khanna, Vincent Y. F. Tan
http://arxiv.org/abs/1911.09879v1
• [cs.LG]Factorized Multimodal Transformer for Multimodal Sequential Learning
Amir Zadeh, Chengfeng Mao, Kelly Shi, Yiwei Zhang, Paul Pu Liang, Soujanya Poria, Louis-Philippe Morency
http://arxiv.org/abs/1911.09826v1
• [cs.LG]Federated Learning with Bayesian Differential Privacy
Aleksei Triastcyn, Boi Faltings
http://arxiv.org/abs/1911.10071v1
• [cs.LG]Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks
Saurabh Singh, Shankar Krishnan
http://arxiv.org/abs/1911.09737v1
• [cs.LG]Fleet Control using Coregionalized Gaussian Process Policy Iteration
Timothy Verstraeten, Pieter JK Libin, Ann Nowé
http://arxiv.org/abs/1911.10121v1
• [cs.LG]Graph Convolution Networks for Probabilistic Modeling of Driving Acceleration
Jianyu Su, Peter A. Beling, Rui Guo, Kyungtae Han
http://arxiv.org/abs/1911.09837v1
• [cs.LG]HAL: Improved Text-Image Matching by Mitigating Visual Semantic Hubs
Fangyu Liu, Rongtian Ye, Xun Wang, Shuaipeng Li
http://arxiv.org/abs/1911.10097v1
• [cs.LG]Instance Cross Entropy for Deep Metric Learning
Xinshao Wang, Elyor Kodirov, Yang Hua, Neil Robertson
http://arxiv.org/abs/1911.09976v1
• [cs.LG]Investigating bankruptcy prediction models in the presence of extreme class imbalance and multiple stages of economy
Sheikh Rabiul Islam, William Eberle, Sheikh K. Ghafoor, Sid C. Bundy, Douglas A. Talbert, Ambareen Siraj
http://arxiv.org/abs/1911.09858v1
• [cs.LG]Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution
Artyom Gadetsky, Kirill Struminsky, Christopher Robinson, Novi Quadrianto, Dmitry Vetrov
http://arxiv.org/abs/1911.10036v1
• [cs.LG]Neural Networks Learning and Memorization with (almost) no Over-Parameterization
Amit Daniely
http://arxiv.org/abs/1911.09873v1
• [cs.LG]Noise Induces Loss Discrepancy Across Groups for Linear Regression
Fereshte Khani, Percy Liang
http://arxiv.org/abs/1911.09876v1
• [cs.LG]Optimizing Data Usage via Differentiable Rewards
Xinyi Wang, Hieu Pham, Paul Michel, Antonios Anastasopoulos, Graham Neubig, Jaime Carbonell
http://arxiv.org/abs/1911.10088v1
• [cs.LG]Order Matters at Fanatics Recommending Sequentially Ordered Products by LSTM Embedded with Word2Vec
Jing Pan, Weian Sheng, Santanu Dey
http://arxiv.org/abs/1911.09818v1
• [cs.LG]Parallel Distributed Logistic Regression for Vertical Federated Learning without Third-Party Coordinator
Shengwen Yang, Bing Ren, Xuhui Zhou, Liping Liu
http://arxiv.org/abs/1911.09824v1
• [cs.LG]Privacy-preserving parametric inference: a case for robust statistics
Marco Avella-Medina
http://arxiv.org/abs/1911.10167v1
• [cs.LG]ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring
David Berthelot, Nicholas Carlini, Ekin D. Cubuk, Alex Kurakin, Kihyuk Sohn, Han Zhang, Colin Raffel
http://arxiv.org/abs/1911.09785v1
• [cs.LG]Responsible Scoring Mechanisms Through Function Sampling
Abolfazl Asudeh, H. V. Jagadish
http://arxiv.org/abs/1911.10073v1
• [cs.LG]Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems
Jaynta Mandi, Emir Demirović, Peter. J Stuckey, Tias Guns
http://arxiv.org/abs/1911.10092v1
• [cs.LG]SparseTrain:Leveraging Dynamic Sparsity in Training DNNs on General-Purpose SIMD Processors
Zhangxiaowen Gong, Houxiang Ji, Christopher Fletcher, Christopher Hughes, Josep Torrellas
http://arxiv.org/abs/1911.10175v1
• [cs.LG]Supervised and Semi-supervised Deep Learning-based Models for Indoor Location Prediction and Recognition
Weizhu Qian, Fabrice Lauri, Franck Gechter
http://arxiv.org/abs/1911.09906v1
• [cs.LG]Synthetic vs Real: Deep Learning on Controlled Noise
Lu Jiang, Di Huang, Weilong Yang
http://arxiv.org/abs/1911.09781v1
• [cs.LG]Thompson Sampling for Factored Multi-Agent Bandits
Timothy Verstraeten, Eugenio Bargiacchi, Pieter JK Libin, Diederik M Roijers, Ann Nowé
http://arxiv.org/abs/1911.10120v1
• [cs.LG]TreeGen: A Tree-Based Transformer Architecture for Code Generation
Zeyu sun, Qihao Zhu, Yingfei Xiong, Yican Sun, Lili Mou, Lu Zhang
http://arxiv.org/abs/1911.09983v1
• [cs.LG]Universal adversarial examples in speech command classification
Jon Vadillo, Roberto Santana
http://arxiv.org/abs/1911.10182v1
• [cs.LG]Unsupervised Features Learning for Sampled Vector Fields
Mateusz Juda
http://arxiv.org/abs/1911.10023v1
• [cs.LG]ptype: Probabilistic Type Inference
Taha Ceritli, Christopher K. I. Williams, James Geddes
http://arxiv.org/abs/1911.10081v1
• [cs.MA]Culture-Based Explainable Human-Agent Deconfliction
Alex Raymond, Hatice Gunes, Amanda Prorok
http://arxiv.org/abs/1911.10098v1
• [cs.MA]Multi-Objective Multi-Agent Planning for Jointly Discovering and Tracking Mobile Object
Hoa Van Nguyen, Hamid Rezatofighi, Ba-Ngu Vo, Damith C. Ranasinghe
http://arxiv.org/abs/1911.09807v1
• [cs.NE]Artificial neural networks in action for an automated cell-type classification of biological neural networks
Eirini Troullinou, Grigorios Tsagkatakis, Spyridon Chavlis, Gergely Turi, Wen-Ke Li, Attila Losonczy, Panagiotis Tsakalides, Panayiota Poirazi
http://arxiv.org/abs/1911.09977v1
• [cs.NE]Technical report: supervised training of convolutional spiking neural networks with PyTorch
Romain Zimmer, Thomas Pellegrini, Srisht Fateh Singh, Timothée Masquelier
http://arxiv.org/abs/1911.10124v1
• [cs.RO]A GNC Architecture for Planetary Rovers with Autonomous Navigation Capabilities
Martin Azkarate, Levin Gerdes, Luc Joudrier, Carlos J. Pérez-del-Pulgar
http://arxiv.org/abs/1911.09975v1
• [cs.RO]A Unified Method for Solving Inverse, Forward, and Hybrid Manipulator Dynamics using Factor Graphs
Mandy Xie, Frank Dellaert
http://arxiv.org/abs/1911.10065v1
• [cs.RO]Constrained Heterogeneous Vehicle Path Planning for Large-area Coverage
Di Deng, Wei Jing, Yuhe Fu, Ziyin Huang, Jiahong Liu, Kenji Shimada
http://arxiv.org/abs/1911.09864v1
• [cs.RO]RoboSherlock: Cognition-enabled Robot Perception for Everyday Manipulation Tasks
Ferenc Bálint-Benczédi, Jan-Hendrik Worch, Daniel Nyga, Nico Blodow, Patrick Mania, Zoltán-Csaba Márton, Michael Beetz
http://arxiv.org/abs/1911.10079v1
• [cs.RO]Simplified_edition_Multi-robot SLAM Multi-view Target Tracking based on Panoramic Vision in Irregular Environment
R. Q. Wang, Z. Q. Yuan, G. H. Chen
http://arxiv.org/abs/1911.09918v1
• [cs.RO]SwarmCloak: Landing of a Swarm of Nano-Quadrotors on Human Arms
Evgeny Tsykunov, Ruslan Agishev, Roman Ibrahimov, Luiza Labazanova, Taha Moriyama, Hiroyuki Kajimoto, Dzmitry Tsetserukou
http://arxiv.org/abs/1911.09874v1
• [cs.RO]Using Socially Expressive Mixed Reality Arms for Enhancing Low-Expressivity Robots
Thomas R. Groechel, Zhonghao Shi, Roxanna Pakkar, Maja J. Matarić
http://arxiv.org/abs/1911.09713v1
• [cs.SD]GANkyoku: a Generative Adversarial Network for Shakuhachi Music
Omar Peracha, Shawn Head
http://arxiv.org/abs/1911.10119v1
• [cs.SI]Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning
Ghazaleh Beigi, Ahmadreza Mosallanezhad, Ruocheng Guo, Hamidreza Alvari, Alexander Nou, Huan Liu
http://arxiv.org/abs/1911.09872v1
• [econ.TH]Speed of Rational Social Learning in Networks with Gaussian Information
Krishna Dasaratha, Kevin He
http://arxiv.org/abs/1911.10116v1
• [eess.IV]2SDR: Applying Kronecker Envelope PCA to denoise Cryo-EM Images
Szu-Chi Chung, Po-Yao Niu, Su-Yun Huang, Wei-Hau Chang, I-Ping Tu
http://arxiv.org/abs/1911.09816v1
• [eess.IV]Direct Classification of Type 2 Diabetes From Retinal Fundus Images in a Population-based Sample From The Maastricht Study
Friso G. Heslinga, Josien P. W. Pluim, A. J. H. M. Houben, Miranda T. Schram, Ronald M. A. Henry, Coen D. A. Stehouwer, Marleen J. van Greevenbroek, Tos T. J. M. Berendschot, Mitko Veta
http://arxiv.org/abs/1911.10022v1
• [eess.IV]Dual Learning-based Video Coding with Inception Dense Blocks
Chao Liu, Heming Sun, Junan Chen, Zhengxue Cheng, Masaru Takeuchi, Jiro Katto, Xiaoyang Zeng, Yibo Fan
http://arxiv.org/abs/1911.09857v1
• [eess.IV]HybridNetSeg: A Compact Hybrid Network for Retinal Vessel Segmentation
Ling Luo, Dingyu Xue, Xinglong Feng
http://arxiv.org/abs/1911.09982v1
• [eess.IV]Retinal Vessel Segmentation based on Fully Convolutional Networks
Zhengyuan Liu
http://arxiv.org/abs/1911.09915v1
• [eess.IV]Shape Detection In 2D Ultrasound Images
Ruturaj Gole, Haixia Wu, Subho Ghose
http://arxiv.org/abs/1911.09863v1
• [eess.IV]Spectral Graph Transformer Networks for Brain Surface Parcellation
Ran He, Karthik Gopinath, Christian Desrosiers, Herve Lombaert
http://arxiv.org/abs/1911.10118v1
• [eess.SP]Maximum Entropy Models from Phase Harmonic Covariances
Sixin Zhang, Stéphane Mallat
http://arxiv.org/abs/1911.10017v1
• [eess.SP]Neural Turbo Equalization: Deep Learning for Fiber-Optic Nonlinearity Compensation
Toshiaki Koike-Akino, Ye Wang, David S. Millar, Keisuke Kojima, Kieran Parsons
http://arxiv.org/abs/1911.10131v1
• [eess.SP]UAV-enabled Secure Communication with Finite Blocklength
Yuntian Wang, Xiaobo Zhou, Zhihong Zhuang, Linlin Sun, Yuwen Qian, Jinhui Lu, Feng Shu
http://arxiv.org/abs/1911.09887v1
• [eess.SY]Learning Robustness with Bounded Failure: An Iterative MPC Approach
Monimoy Bujarbaruah, Akhil Shetty, Kameshwar Poolla, Francesco Borrelli
http://arxiv.org/abs/1911.09910v1
• [eess.SY]Robust Learning-based Predictive Control for Constrained Nonlinear Systems
Xinglong Zhang, Jiahang Liu, Xin Xu, Hong Chen
http://arxiv.org/abs/1911.09827v1
• [math.OC]Data-driven Variable Speed Limit Design with Performance Guarantees for Highways
Dan Li, Dariush Fooladivanda, Sonia Martinez
http://arxiv.org/abs/1911.10184v1
• [math.OC]On an Optimal Solution to the Film Scheduling and Showtime Staggering Problem
Ikjyot Singh Kohli, Katherine Goff Inglis
http://arxiv.org/abs/1911.10153v1
• [math.PR]Sparse random tensors: concentration, regularization and applications
Zhixin Zhou, Yizhe Zhu
http://arxiv.org/abs/1911.09063v2
• [math.ST]Interventional Markov Equivalence for Mixed Graph Models
Liam Solus
http://arxiv.org/abs/1911.10114v1
• [math.ST]Local Spectral Clustering of Density Upper Level Sets
Alden Green, Sivaraman Balakrishnan, Ryan J. Tibshirani
http://arxiv.org/abs/1911.09714v1
• [math.ST]On comparison of estimators for proportional error nonlinear regression models in the limit of small measurement error
Richard A. Lockhart, Chandanie W. Navaratna
http://arxiv.org/abs/1911.09680v1
• [physics.bio-ph]Machine learning for protein folding and dynamics
Frank Noé, Gianni De Fabritiis, Cecilia Clementi
http://arxiv.org/abs/1911.09811v1
• [q-bio.NC]Decision Making guided by Emotion A computational architecture
Dominique Béroule, Pascale Gisquet-Verrier
http://arxiv.org/abs/1911.09948v1
• [q-fin.CP]Deep Reinforcement Learning for Trading
Zihao Zhang, Stefan Zohren, Stephen Roberts
http://arxiv.org/abs/1911.10107v1
• [stat.AP]Adversarial Risk Analysis for First-Price Sealed-Bid Auctions
Muhammad Ejaz, Chaitanya Joshi, Stephen Joe
http://arxiv.org/abs/1911.09851v1
• [stat.AP]Enabling Personalized Decision Support with Patient-Generated Data and Attributable Components
Elliot G Mitchell, Esteban G Tabak, Matthew E Levine, Lena Mamykina, David J Albers
http://arxiv.org/abs/1911.09856v1
• [stat.AP]Ensuring Reliable Monte Carlo Estimates of Network Properties
Haema Nilakanta, Zack W. Almquist, Galin L. Jones
http://arxiv.org/abs/1911.08682v2
• [stat.AP]Mixture survival models methodology: an application to cancer immunotherapy assessment in clinical trials
Lizet Sanchez, Patricia Lorenzo-Luaces, Claudia Fonte, Agustin Lage
http://arxiv.org/abs/1911.09765v1
• [stat.AP]Sets of Half-Average Nulls Generate Risk-Limiting Audits: SHANGRLA
Philip B. Stark
http://arxiv.org/abs/1911.10035v1
• [stat.ME]Bootstrap Inference for Multiple Imputation under Uncongeniality and Misspecification
Jonathan W. Bartlett, Rachael A. Hughes
http://arxiv.org/abs/1911.09980v1
• [stat.ME]Calibration of the Pareto and related distributions -a reference-intrinsic approach
James Sharpe, Miguel A Juarez
http://arxiv.org/abs/1911.10117v1
• [stat.ME]Controlling False Discovery Rate Using Gaussian Mirrors
Xin Xing, Zhigen Zhao, Jun S. Liu
http://arxiv.org/abs/1911.09761v1
• [stat.ME]Cross-trait prediction accuracy of high-dimensional ridge-type estimators in genome-wide association studies
Bingxin Zhao, Hongtu Zhu
http://arxiv.org/abs/1911.10142v1
• [stat.ME]Debiased Inverse-Variance Weighted Estimator in Two-Sample Summary-Data Mendelian Randomization
Ting Ye, Jun Shao, Hyunseung Kang
http://arxiv.org/abs/1911.09802v1
• [stat.ME]Estimating knots in bilinear spline growth mixture models with time-invariant covariates in the framework of individual measurement occasions
Jin Liu, Le Kang, Roy T. Sabo, Robert M. Kirkpatrick, Robert A. Perera
http://arxiv.org/abs/1911.09937v1
• [stat.ME]Estimating knots in bilinear spline growth models with time-invariant covariates in the framework of individual measurement occasions
Jin Liu, Le Kang, Robert M. Kirkpatrick, Roy T. Sabo, Robert A. Perera
http://arxiv.org/abs/1911.09939v1
• [stat.ME]Multi-model mimicry for model selection according to generalised goodness-of-fit criteria
Lachlann McArthur, Melissa A. Humphries
http://arxiv.org/abs/1911.09779v1
• [stat.ME]On the use of information criteria for subset selection in least squares regression
Sen Tian, Clifford M. Hurvich, Jeffrey S. Simonoff
http://arxiv.org/abs/1911.10191v1
• [stat.ME]Spatial Autoregressive Models for Scan Statistic
Mohamed-Salem Ahmed, Lionel Cucala, Michael Genin
http://arxiv.org/abs/1911.10089v1
• [stat.ML]Information-Theoretic Confidence Bounds for Reinforcement Learning
Xiuyuan Lu, Benjamin Van Roy
http://arxiv.org/abs/1911.09724v1
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