cs.AI - 人工智能
cs.AR - 硬件体系结构 cs.CL - 计算与语言 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.DS - 数据结构与算法 cs.GT - 计算机科学与博弈论 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.DS - 动力系统 math.PR - 概率 math.ST - 统计理论 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
• [cs.AI]Adversarial Inverse Reinforcement Learning for Decision Making in Autonomous Driving
• [cs.AI]Attention Privileged Reinforcement Learning For Domain Transfer
• [cs.AI]Multimedia Search and Temporal Reasoning
• [cs.AI]The αμ Search Algorithm for the Game of Bridge
• [cs.AI]Towards a computer-interpretable actionable formal model to encode data governance rules
• [cs.AR]Stream Semantic Registers: A Lightweight RISC-V ISA Extension Achieving Full Compute Utilization in Single-Issue Cores
• [cs.CL]A Hybrid Morpheme-Word Representation for Machine Translation of Morphologically Rich Languages
• [cs.CL]Deep Poetry: A Chinese Classical Poetry Generation System
• [cs.CL]Deep and Dense Sarcasm Detection
• [cs.CL]End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern Architectures
• [cs.CL]Error Analysis for Vietnamese Named Entity Recognition on Deep Neural Network Models
• [cs.CL]Extended Answer and Uncertainty Aware Neural Question Generation
• [cs.CL]Hunting for Troll Comments in News Community Forums
• [cs.CL]Improving Document Classification with Multi-Sense Embeddings
• [cs.CL]In Search of Credible News
• [cs.CL]Retrospective and Prospective Mixture-of-Generators for Task-oriented Dialogue Response Generation
• [cs.CL]Unsupervised Natural Question Answering with a Small Model
• [cs.CV]A Boost Strategy to the Generative Error Based Video Anomaly Detection Algorithms
• [cs.CV]A novel method for identifying the deep neural network model with the Serial Number
• [cs.CV]AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results
• [cs.CV]Action Anticipation with RBF Kernelized Feature Mapping RNN
• [cs.CV]Co-Attentive Equivariant Neural Networks: Focusing Equivariance On Transformations Co-Occurring In Data
• [cs.CV]Constrained R-CNN: A general image manipulation detection model
• [cs.CV]DebFace: De-biasing Face Recognition
• [cs.CV]Defective Convolutional Layers Learn Robust CNNs
• [cs.CV]Dense Fusion Classmate Network for Land Cover Classification
• [cs.CV]Differentiating Features for Scene Segmentation Based on Dedicated Attention Mechanisms
• [cs.CV]Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression
• [cs.CV]Dont Even Look Once: Synthesizing Features for Zero-Shot Detection
• [cs.CV]Dual affine moment invariants
• [cs.CV]Efficient Hardware Implementation of Incremental Learning and Inference on Chip
• [cs.CV]Exploiting Human Social Cognition for the Detection of Fake and Fraudulent Faces via Memory Networks
• [cs.CV]Finding Missing Children: Aging Deep Face Features
• [cs.CV]FollowMeUp Sports: New Benchmark for 2D Human Keypoint Recognition
• [cs.CV]General $E(2)$-Equivariant Steerable CNNs
• [cs.CV]GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-wise Transformations
• [cs.CV]IFQ-Net: Integrated Fixed-point Quantization Networks for Embedded Vision
• [cs.CV]Improving the Robustness of Capsule Networks to Image Affine Transformations
• [cs.CV]KISS: Keeping It Simple for Scene Text Recognition
• [cs.CV]Learning Modulated Loss for Rotated Object Detection
• [cs.CV]MarioNETte: Few-shot Face Reenactment Preserving Identity of Unseen Targets
• [cs.CV]Mimic The Raw Domain: Accelerating Action Recognition in the Compressed Domain
• [cs.CV]Modality To Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion
• [cs.CV]Multiple Face Analyses through Adversarial Learning
• [cs.CV]Neural Network Pruning with Residual-Connections and Limited-Data
• [cs.CV]On the Impact of Object and Sub-component Level Segmentation Strategies for Supervised Anomaly Detection within X-ray Security Imagery
• [cs.CV]Poison as a Cure: Detecting & Neutralizing Variable-Sized Backdoor Attacks in Deep Neural Networks
• [cs.CV]Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach
• [cs.CV]Rethinking deep active learning: Using unlabeled data at model training
• [cs.CV]Segmentation Guided Attention Network for Crowd Counting via Curriculum Learning
• [cs.CV]Simultaneous Mapping and Target Driven Navigation
• [cs.CV]Simultaneous Region Localization and Hash Coding for Fine-grained Image Retrieval
• [cs.CV]Single-Stage 6D Object Pose Estimation
• [cs.CV]Solar Event Tracking with Deep Regression Networks: A Proof of Concept Evaluation
• [cs.CV]Streetify: Using Street View Imagery And Deep Learning For Urban Streets Development
• [cs.CV]Tell Me What They’re Holding: Weakly-supervised Object Detection with Transferable Knowledge from Human-object Interaction
• [cs.CV]Towards a complete 3D morphable model of the human head
• [cs.CV]TracKlinic: Diagnosis of Challenge Factors in Visual Tracking
• [cs.CV]Two-Stream FCNs to Balance Content and Style for Style Transfer
• [cs.CV]Vision-Language Navigation with Self-Supervised Auxiliary Reasoning Tasks
• [cs.CV]Weakly-Supervised Video Moment Retrieval via Semantic Completion Network
• [cs.CY]”The Human Body is a Black Box”: Supporting Clinical Decision-Making with Deep Learning
• [cs.CY]A Methodology for Obtaining Objective Measurements of Population Obesogenic Behaviors in Relation to the Environment
• [cs.CY]Exploring the added value of blockchain technology for the healthcare domain
• [cs.CY]The AI Liability Puzzle and A Fund-Based Work-Around
• [cs.CY]The gift of the gab: Are rental scammers skilled at the art of persuasion?
• [cs.DC]Can 100 Machines Agree?
• [cs.DC]Decentralization in Open Quorum Systems
• [cs.DC]Evaluation of performance portability frameworks for the implementation of a particle-in-cell code
• [cs.DC]On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning
• [cs.DC]PES: Proactive Event Scheduling for Responsive and Energy-Efficient Mobile Web Computing
• [cs.DC]The Design and Implementation of a Scalable DL Benchmarking Platform
• [cs.DS]Consistent recovery threshold of hidden nearest neighbor graphs
• [cs.DS]Low-Rank Toeplitz Matrix Estimation via Random Ultra-Sparse Rulers
• [cs.DS]Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering
• [cs.GT]All-Pay Bidding Games on Graphs
• [cs.GT]Defending with Shared Resources on a Network
• [cs.IT]Computation Offloading in the Untrusted MEC-aided Mobile Blockchain IoT System
• [cs.IT]Cooperative Multiple-Access Channels with Distributed State Information
• [cs.IT]Estimating Entropy of Distributions in Constant Space
• [cs.IT]Hierarchical Distribution Matching: a Versatile Tool for Probabilistic Shaping
• [cs.IT]Joint Unicast and Multi-group Multicast Transmission in Massive MIMO Systems
• [cs.IT]Low Complexity Autoencoder based End-to-End Learning of Coded Communications Systems
• [cs.IT]Low-Complexity Linear Equalization for OTFS Systems with Rectangular Waveforms
• [cs.IT]New entanglement-assisted quantum MDS codes with length $n=\frac{q^2+1}5$
• [cs.IT]On the Upper Bound of the Kullback-Leibler Divergence and Cross Entropy
• [cs.IT]Optimal repairing schemes for Reed-Solomon codes with alphabet sizes linear in lengths under the rack-aware model
• [cs.IT]Placement Optimization of Aerial Base Stations with Deep Reinforcement Learning
• [cs.IT]Super-Nyquist Rateless Coding for Intersymbol Interference Channels
• [cs.IT]Towards A Theory of Duality for Graph Signal Processing
• [cs.IT]Two-Way Physical Layer Security Protocol for Gaussian Channels
• [cs.LG]A Bias Trick for Centered Robust Principal Component Analysis
• [cs.LG]A Multi-Task Gradient Descent Method for Multi-Label Learning
• [cs.LG]A Study on various state of the art of the Art Face Recognition System using Deep Learning Techniques
• [cs.LG]A model for predicting price polarity of real estate properties using information of real estate market websites
• [cs.LG]ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
• [cs.LG]Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning
• [cs.LG]Adaptive Routing Between Capsules
• [cs.LG]Adversarial Attacks on Grid Events Classification: An Adversarial Machine Learning Approach
• [cs.LG]Attribute noise robust binary classification
• [cs.LG]Basic Principles of Clustering Methods
• [cs.LG]Benanza: Automatic $μ$Benchmark Generation to Compute “Lower-bound” Latency and Inform Optimizations of Deep Learning Models on GPUs
• [cs.LG]Can You Really Backdoor Federated Learning?
• [cs.LG]Carpe Diem, Seize the Samples Uncertain “At the Moment” for Adaptive Batch Selection
• [cs.LG]Comments on the Du-Kakade-Wang-Yang Lower Bounds
• [cs.LG]DARB: A Density-Aware Regular-Block Pruning for Deep Neural Networks
• [cs.LG]DLBricks: Composable Benchmark Generation toReduce Deep Learning Benchmarking Effort on CPUs
• [cs.LG]Deep Detector Health Management under Adversarial Campaigns
• [cs.LG]Deep Tile Coder: an Efficient Sparse Representation Learning Approach with applications in Reinforcement Learning
• [cs.LG]Driver Identification Based on Vehicle Telematics Data using LSTM-Recurrent Neural Network
• [cs.LG]Eigenvalue Normalized Recurrent Neural Networks for Short Term Memory
• [cs.LG]Eliminating artefacts in Polarimetric Images using Deep Learning
• [cs.LG]Energy Usage Reports: Environmental awareness as part of algorithmic accountability
• [cs.LG]Fair Learning-to-Rank from Implicit Feedback
• [cs.LG]Implicit Generative Modeling for Efficient Exploration
• [cs.LG]Implicit Regularization of Normalization Methods
• [cs.LG]Information-Theoretic Local Minima Characterization and Regularization
• [cs.LG]Inter-layer Collision Networks
• [cs.LG]Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned
• [cs.LG]Learning Permutation Invariant Representations using Memory Networks
• [cs.LG]Live Face De-Identification in Video
• [cs.LG]MANGA: Method Agnostic Neural-policy Generalization and Adaptation
• [cs.LG]Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
• [cs.LG]Mixed-curvature Variational Autoencoders
• [cs.LG]Modelling pressure-Hessian from local velocity gradients information in an incompressible turbulent flow field using deep neural networks
• [cs.LG]Neural Forest Learning
• [cs.LG]Online Learned Continual Compression with Stacked Quantization Module
• [cs.LG]PRINCE: Provider-side Interpretability with Counterfactual Explanations in Recommender Systems
• [cs.LG]Planning with Goal-Conditioned Policies
• [cs.LG]Predicting overweight and obesity in later life from childhood data: A review of predictive modeling approaches
• [cs.LG]Prestopping: How Does Early Stopping Help Generalization against Label Noise?
• [cs.LG]Privacy Leakage Avoidance with Switching Ensembles
• [cs.LG]Program synthesis performance constrained by non-linear spatial relations in Synthetic Visual Reasoning Test
• [cs.LG]RWNE: A Scalable Random-Walk based Network Embedding Framework with Personalized Higher-order Proximity Preserved
• [cs.LG]Revealing Perceptible Backdoors, without the Training Set, via the Maximum Achievable Misclassification Fraction Statistic
• [cs.LG]Sequential Mode Estimation with Oracle Queries
• [cs.LG]Survival and Neural Models for Private Equity Exit Prediction
• [cs.LG]Temporal Knowledge Graph Embedding Model based on Additive Time Series Decomposition
• [cs.LG]Thick-Net: Parallel Network Structure for Sequential Modeling
• [cs.LG]Towards non-toxic landscapes: Automatic toxic comment detection using DNN
• [cs.LG]Towards unstructured mortality prediction with free-text clinical notes
• [cs.LG]Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling
• [cs.LG]Variance Reduced Advantage Estimation with $δ$ Hindsight Credit Assignment
• [cs.LG]WITCHcraft: Efficient PGD attacks with random step size
• [cs.LG]vqSGD: Vector Quantized Stochastic Gradient Descent
• [cs.MA]Cooperative Pathfinding based on high-scalability Multi-agent RRT*
• [cs.NE]Deep Spiking Neural Networks for Large Vocabulary Automatic Speech Recognition
• [cs.NE]ImmuNeCS: Neural Committee Search by an Artificial Immune System
• [cs.NE]Unsupervised AER Object Recognition Based on Multiscale Spatio-Temporal Features and Spiking Neurons
• [cs.NI]Delay-Aware Wireless Network Coding in Adversarial Traffic
• [cs.NI]The geopolitics behind the routes data travels: a case study of Iran
• [cs.RO]A Deep Learning Approach for Robust Corridor Following
• [cs.RO]Long-Term Personalization of an In-Home Socially Assistive Robot for Children With Autism Spectrum Disorders
• [cs.RO]Nonlinear Model Predictive Control with Actuator Constraints for Multi-Rotor Aerial Vehicles
• [cs.RO]Robot Calligraphy using Pseudospectral Optimal Control in Conjunction with a Simulated Brush Model
• [cs.RO]Task-Based Hybrid Shared Control for Training Through Forceful Interaction
• [cs.RO]User-Driven Functional Movement Training with a Wearable Hand Robot after Stroke
• [cs.SD]Alternating Between Spectral and Spatial Estimation for Speech Separation and Enhancement
• [cs.SD]Improving Universal Sound Separation Using Sound Classification
• [cs.SE]Commit2Vec: Learning Distributed Representations of Code Changes
• [cs.SI]Adaptive Greedy versus Non-adaptive Greedy for Influence Maximization
• [cs.SI]Event detection in Colombian security Twitter news using fine-grained latent topic analysis
• [cs.SI]Graph Learning for Spatiotemporal Signal with Long Short-Term Characterization
• [eess.AS]Neural Network based End-to-End Query by Example Spoken Term Detection
• [eess.IV]Automated fetal brain extraction from clinical Ultrasound volumes using 3D Convolutional Neural Networks
• [eess.IV]CD2 : Combined Distances of Contrast Distributions for the Assessment of Perceptual Quality of Image Processing
• [eess.IV]Convolutional Neural Network and decision support in medical imaging: case study of the recognition of blood cell subtypes
• [eess.IV]Frequency Separation for Real-World Super-Resolution
• [eess.IV]HighEr-Resolution Network for Image Demosaicing and Enhancing
• [eess.IV]ISP4ML: Understanding the Role of Image Signal Processing in Efficient Deep Learning Vision Systems
• [eess.IV]LNDb: A Lung Nodule Database on Computed Tomography
• [eess.IV]Multi-Resolution 3D CNN for MRI Brain Tumor Segmentation and Survival Prediction
• [eess.IV]Projection-to-Projection Translation for Hybrid X-ray and Magnetic Resonance Imaging
• [eess.IV]Three-dimensional Generative Adversarial Nets for Unsupervised Metal Artifact Reduction
• [eess.IV]Visualization approach to assess the robustness of neural networks for medical image classification
• [eess.SP]AddNet: Deep Neural Networks Using FPGA-Optimized Multipliers
• [eess.SP]Comparison of Deep learning models on time series forecasting : a case study of Dissolved Oxygen Prediction
• [eess.SP]iGateLink: A Gateway Library for Linking IoT, Edge, Fog and Cloud Computing Environments
• [math.DS]A topological dynamical system with two different positive sofic entropies
• [math.PR]On critical points of Gaussian random fields under diffeomorphic transformations
• [math.ST]Discussion contribution “Functional models for time-varying random objects’’ by Dubey and Müller (to appear in JRSS-B)
• [math.ST]Estimation of dynamic networks for high-dimensional nonstationary time series
• [math.ST]Improved clustering algorithms for the Bipartite Stochastic Block Model
• [math.ST]Infinitesimal generators for two-dimensional Lévy process-driven hypothesis testing
• [math.ST]Minimax rates of $\ell_p$-losses for high-dimensional linear regression models with additive measurement errors over $\ell_q$-balls
• [math.ST]Sparse recovery via nonconvex regularized $M$-estimators over $\ell_q$-balls
• [q-bio.QM]Estimation of Orientation and Camera Parameters from Cryo-Electron Microscopy Images with Variational Autoencoders and Generative Adversarial Networks
• [stat.AP]A regularized hidden Markov model for analyzing the ‘hot shoe’ in football
• [stat.AP]Anomaly and Novelty detection for robust semi-supervised learning
• [stat.AP]Common Growth Patterns for Regional Social Networks: a Point Process Approach
• [stat.AP]Large-Scale Spatiotemporal Density Smoothing with the Graph-fused Elastic Net: Application to Ride-sourcing Driver Productivity Analysis
• [stat.AP]Principal Stratification for Advertising Experiments
• [stat.ME]A Normal Approximation Method for Statistics in Knockouts
• [stat.ME]Gradient-based Sparse Principal Component Analysis with Extensions to Online Learning
• [stat.ME]Measuring spatiotemporal disease clustering with the tau statistic
• [stat.ME]Optimal tests for elliptical symmetry: specified and unspecified location
• [stat.ME]Uncertainty and Sensitivity Analyses Methods for Agent-Based Mathematical Models: An Introductory Review
• [stat.ML]A Simple Heuristic for Bayesian Optimization with A Low Budget
• [stat.ML]Deep Unsupervised Clustering with Clustered Generator Model
• [stat.ML]Learning Weighted Submanifolds with Variational Autoencoders and Riemannian Variational Autoencoders
• [stat.ML]SimVAE: Simulator-Assisted Training forInterpretable Generative Models
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• [cs.AI]Adversarial Inverse Reinforcement Learning for Decision Making in Autonomous Driving
Pin Wang, Dapeng Liu, Jiayu Chen, Ching-Yao Chan
http://arxiv.org/abs/1911.08044v1
• [cs.AI]Attention Privileged Reinforcement Learning For Domain Transfer
Sasha Salter, Dushyant Rao, Markus Wulfmeier, Raia Hadsell, Ingmar Posner
http://arxiv.org/abs/1911.08363v1
• [cs.AI]Multimedia Search and Temporal Reasoning
Marcio Ferreira Moreno, Rodrigo Costa Mesquita Santos, Wallas Henrique Sousa dos Santos, Sandro Rama Fiorini, Reinaldo Mozart da Gama Silva
http://arxiv.org/abs/1911.08225v1
• [cs.AI]The αμ Search Algorithm for the Game of Bridge
Tristan Cazenave, Véronique Ventos
http://arxiv.org/abs/1911.07960v1
• [cs.AI]Towards a computer-interpretable actionable formal model to encode data governance rules
Rui Zhao, Malcolm Atkinson
http://arxiv.org/abs/1911.08439v1
• [cs.AR]Stream Semantic Registers: A Lightweight RISC-V ISA Extension Achieving Full Compute Utilization in Single-Issue Cores
Fabian Schuiki, Florian Zaruba, Torsten Hoefler, Luca Benini
http://arxiv.org/abs/1911.08356v1
• [cs.CL]A Hybrid Morpheme-Word Representation for Machine Translation of Morphologically Rich Languages
Minh-Thang Luong, Preslav Nakov, Min-Yen Kan
http://arxiv.org/abs/1911.08117v1
• [cs.CL]Deep Poetry: A Chinese Classical Poetry Generation System
Yusen Liu, Dayiheng Liu, Jiancheng Lv
http://arxiv.org/abs/1911.08212v1
• [cs.CL]Deep and Dense Sarcasm Detection
Devin Pelser, Hugh Murrell
http://arxiv.org/abs/1911.07474v2
• [cs.CL]End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern Architectures
Gabriel Synnaeve, Qiantong Xu, Jacob Kahn, Edouard Grave, Tatiana Likhomanenko, Vineel Pratap, Anuroop Sriram, Vitaliy Liptchinsky, Ronan Collobert
http://arxiv.org/abs/1911.08460v1
• [cs.CL]Error Analysis for Vietnamese Named Entity Recognition on Deep Neural Network Models
Binh An Nguyen, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen
http://arxiv.org/abs/1911.07228v2
• [cs.CL]Extended Answer and Uncertainty Aware Neural Question Generation
Hongwei Zeng, Zhuo Zhi, Jun Liu, Bifan Wei
http://arxiv.org/abs/1911.08112v1
• [cs.CL]Hunting for Troll Comments in News Community Forums
Todor Mihaylov, Preslav Nakov
http://arxiv.org/abs/1911.08113v1
• [cs.CL]Improving Document Classification with Multi-Sense Embeddings
Vivek Gupta, Ankit Saw, Pegah Nokhiz, Harshit Gupta, Partha Talukdar
http://arxiv.org/abs/1911.07918v1
• [cs.CL]In Search of Credible News
Momchil Hardalov, Ivan Koychev, Preslav Nakov
http://arxiv.org/abs/1911.08125v1
• [cs.CL]Retrospective and Prospective Mixture-of-Generators for Task-oriented Dialogue Response Generation
Jiahuan Pei, Pengjie Ren, Christof Monz, Maarten de Rijke
http://arxiv.org/abs/1911.08151v1
• [cs.CL]Unsupervised Natural Question Answering with a Small Model
Martin Andrews, Sam Witteveen
http://arxiv.org/abs/1911.08340v1
• [cs.CV]A Boost Strategy to the Generative Error Based Video Anomaly Detection Algorithms
Zhiguo Wang, Yu-Jin Zhang
http://arxiv.org/abs/1911.08402v1
• [cs.CV]A novel method for identifying the deep neural network model with the Serial Number
XiangRui Xu, YaQin Li, Cao Yuan
http://arxiv.org/abs/1911.08053v1
• [cs.CV]AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results
Andreas Lugmayr, Martin Danelljan, Radu Timofte, Manuel Fritsche, Shuhang Gu, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A N Rajagopalan, Nam Hyung Joon, Yu Seung Won, Guisik Kim, Dokyeong Kwon, Chih-Chung Hsu, Chia-Hsiang Lin, Yuanfei Huang, Xiaopeng Sun, Wen Lu, Jie Li, Xinbo Gao, Sefi Bell-Kligler
http://arxiv.org/abs/1911.07783v2
• [cs.CV]Action Anticipation with RBF Kernelized Feature Mapping RNN
Yuge Shi, Basura Fernando, Richard Hartley
http://arxiv.org/abs/1911.07806v2
• [cs.CV]Co-Attentive Equivariant Neural Networks: Focusing Equivariance On Transformations Co-Occurring In Data
David W. Romero, Mark Hoogendoorn
http://arxiv.org/abs/1911.07849v1
• [cs.CV]Constrained R-CNN: A general image manipulation detection model
Huizhou Li, Chao Yang, Fangting Lin, Bin Jiang
http://arxiv.org/abs/1911.08217v1
• [cs.CV]DebFace: De-biasing Face Recognition
Sixue Gong, Xiaoming Liu, Anil K. Jain
http://arxiv.org/abs/1911.08080v1
• [cs.CV]Defective Convolutional Layers Learn Robust CNNs
Tiange Luo, Tianle Cai, Mengxiao Zhang, Siyu Chen, Di He, Liwei Wang
http://arxiv.org/abs/1911.08432v1
• [cs.CV]Dense Fusion Classmate Network for Land Cover Classification
Chao Tian, Cong Li, Jianping Shi
http://arxiv.org/abs/1911.08169v1
• [cs.CV]Differentiating Features for Scene Segmentation Based on Dedicated Attention Mechanisms
Zhiqiang Xiong, Zhicheng Wang, Zhaohui Yu, Xi Gu
http://arxiv.org/abs/1911.08149v1
• [cs.CV]Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression
Zhaohui Zheng, Ping Wang, Wei Liu, Jinze Li, Rongguang Ye, Dongwei Ren
http://arxiv.org/abs/1911.08287v1
• [cs.CV]Dont Even Look Once: Synthesizing Features for Zero-Shot Detection
Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama
http://arxiv.org/abs/1911.07933v1
• [cs.CV]Dual affine moment invariants
You Hao, Hanlin Mo, Qi Li, He Zhang, Hua Li
http://arxiv.org/abs/1911.08233v1
• [cs.CV]Efficient Hardware Implementation of Incremental Learning and Inference on Chip
Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jezequel
http://arxiv.org/abs/1911.07847v1
• [cs.CV]Exploiting Human Social Cognition for the Detection of Fake and Fraudulent Faces via Memory Networks
Tharindu Fernando, Clinton Fookes, Simon Denman, Sridha Sridharan
http://arxiv.org/abs/1911.07844v1
• [cs.CV]Finding Missing Children: Aging Deep Face Features
Debayan Deb, Divyansh Aggarwal, Anil K. Jain
http://arxiv.org/abs/1911.07538v2
• [cs.CV]FollowMeUp Sports: New Benchmark for 2D Human Keypoint Recognition
Ying Huang, Bin Sun, Haipeng Kan, Jiankai Zhuang, Zengchang Qin
http://arxiv.org/abs/1911.08344v1
• [cs.CV]General $E(2)$-Equivariant Steerable CNNs
Maurice Weiler, Gabriele Cesa
http://arxiv.org/abs/1911.08251v1
• [cs.CV]GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-wise Transformations
Xiang Gao, Wei Hu, Guo-Jun Qi
http://arxiv.org/abs/1911.08142v1
• [cs.CV]IFQ-Net: Integrated Fixed-point Quantization Networks for Embedded Vision
Hongxing Gao, Wei Tao, Dongchao Wen, Tse-Wei Chen, Kinya Osa, Masami Kato
http://arxiv.org/abs/1911.08076v1
• [cs.CV]Improving the Robustness of Capsule Networks to Image Affine Transformations
Jindong Gu, Volker Tresp
http://arxiv.org/abs/1911.07968v1
• [cs.CV]KISS: Keeping It Simple for Scene Text Recognition
Christian Bartz, Joseph Bethge, Haojin Yang, Christoph Meinel
http://arxiv.org/abs/1911.08400v1
• [cs.CV]Learning Modulated Loss for Rotated Object Detection
Wen Qian, Xue Yang, Silong Peng, Yue Guo, Chijun Yan
http://arxiv.org/abs/1911.08299v1
• [cs.CV]MarioNETte: Few-shot Face Reenactment Preserving Identity of Unseen Targets
Sungjoo Ha, Martin Kersner, Beomsu Kim, Seokjun Seo, Dongyoung Kim
http://arxiv.org/abs/1911.08139v1
• [cs.CV]Mimic The Raw Domain: Accelerating Action Recognition in the Compressed Domain
Barak Battash, Haim Barad, Hanlin Tang, Amit Bleiweiss
http://arxiv.org/abs/1911.08206v1
• [cs.CV]Modality To Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion
Sijie Mai, Haifeng Hu, Songlong Xing
http://arxiv.org/abs/1911.07848v1
• [cs.CV]Multiple Face Analyses through Adversarial Learning
Shangfei Wang, Shi Yin, Longfei Hao, Guang Liang
http://arxiv.org/abs/1911.07846v1
• [cs.CV]Neural Network Pruning with Residual-Connections and Limited-Data
Jian-Hao Luo, Jianxin Wu
http://arxiv.org/abs/1911.08114v1
• [cs.CV]On the Impact of Object and Sub-component Level Segmentation Strategies for Supervised Anomaly Detection within X-ray Security Imagery
Neelanjan Bhowmik, Yona Falinie A. Gaus, Samet Akcay, Jack W. Barker, Toby P. Breckon
http://arxiv.org/abs/1911.08216v1
• [cs.CV]Poison as a Cure: Detecting & Neutralizing Variable-Sized Backdoor Attacks in Deep Neural Networks
Alvin Chan, Yew-Soon Ong
http://arxiv.org/abs/1911.08040v1
• [cs.CV]Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach
Bingfeng Zhang, Jimin Xiao, Yunchao Wei, Mingjie Sun, Kaizhu Huang
http://arxiv.org/abs/1911.08039v1
• [cs.CV]Rethinking deep active learning: Using unlabeled data at model training
Oriane Siméoni, Mateusz Budnik, Yannis Avrithis, Guillaume Gravier
http://arxiv.org/abs/1911.08177v1
• [cs.CV]Segmentation Guided Attention Network for Crowd Counting via Curriculum Learning
Qian Wang, Toby P. Breckon
http://arxiv.org/abs/1911.07990v1
• [cs.CV]Simultaneous Mapping and Target Driven Navigation
Georgios Georgakis, Yimeng Li, Jana Kosecka
http://arxiv.org/abs/1911.07980v1
• [cs.CV]Simultaneous Region Localization and Hash Coding for Fine-grained Image Retrieval
Haien Zeng, Hanjiang Lai, Jian Yin
http://arxiv.org/abs/1911.08028v1
• [cs.CV]Single-Stage 6D Object Pose Estimation
Yinlin Hu, Pascal Fua, Wei Wang, Mathieu Salzmann
http://arxiv.org/abs/1911.08324v1
• [cs.CV]Solar Event Tracking with Deep Regression Networks: A Proof of Concept Evaluation
Toqi Tahamid Sarker, Juan M. Banda
http://arxiv.org/abs/1911.08350v1
• [cs.CV]Streetify: Using Street View Imagery And Deep Learning For Urban Streets Development
Fahad Alhasoun, Marta Gonzalez
http://arxiv.org/abs/1911.08007v1
• [cs.CV]Tell Me What They’re Holding: Weakly-supervised Object Detection with Transferable Knowledge from Human-object Interaction
Daesik Kim, Gyujeong Lee, Jisoo Jeong, Nojun Kwak
http://arxiv.org/abs/1911.08141v1
• [cs.CV]Towards a complete 3D morphable model of the human head
Stylianos Ploumpis, Evangelos Ververas, Eimear O’ Sullivan, Stylianos Moschoglou, Haoyang Wang, Nick Pears, William A. P. Smith, Baris Gecer, Stefanos Zafeiriou
http://arxiv.org/abs/1911.08008v1
• [cs.CV]TracKlinic: Diagnosis of Challenge Factors in Visual Tracking
Heng Fan, Fan Yang, Peng Chu, Lin Yuan, Haibin Ling
http://arxiv.org/abs/1911.07959v1
• [cs.CV]Two-Stream FCNs to Balance Content and Style for Style Transfer
Duc Minh Vo, Akihiro Sugimoto
http://arxiv.org/abs/1911.08079v1
• [cs.CV]Vision-Language Navigation with Self-Supervised Auxiliary Reasoning Tasks
Fengda Zhu, Yi Zhu, Xiaojun Chang, Xiaodan Liang
http://arxiv.org/abs/1911.07883v1
• [cs.CV]Weakly-Supervised Video Moment Retrieval via Semantic Completion Network
Zhijie Lin, Zhou Zhao, Zhu Zhang, Qi Wang, Huasheng Liu
http://arxiv.org/abs/1911.08199v1
• [cs.CY]“The Human Body is a Black Box”: Supporting Clinical Decision-Making with Deep Learning
Mark Sendak, Madeleine Elish, Michael Gao, Joseph Futoma, William Ratliff, Marshall Nichols, Armando Bedoya, Suresh Balu, Cara O’Brien
http://arxiv.org/abs/1911.08089v1
• [cs.CY]A Methodology for Obtaining Objective Measurements of Population Obesogenic Behaviors in Relation to the Environment
Christos Diou, Ioannis Sarafis, Vasileios Papapanagiotou, Ioannis Ioakimidis, Anastasios Delopoulos
http://arxiv.org/abs/1911.08315v1
• [cs.CY]Exploring the added value of blockchain technology for the healthcare domain
Bas R. J. Bolmer, Monique Taverne, Marco Scherer
http://arxiv.org/abs/1911.08277v1
• [cs.CY]The AI Liability Puzzle and A Fund-Based Work-Around
Olivia J. Erdélyi, Gábor Erdélyi
http://arxiv.org/abs/1911.08005v1
• [cs.CY]The gift of the gab: Are rental scammers skilled at the art of persuasion?
Sophie Van Der Zee, Richard Clayton, Ross Anderson
http://arxiv.org/abs/1911.08253v1
• [cs.DC]Can 100 Machines Agree?
Rachid Guerraoui, Jad Hamza, Dragos-Adrian Seredinschi, Marko Vukolic
http://arxiv.org/abs/1911.07966v1
• [cs.DC]Decentralization in Open Quorum Systems
Andrea Bracciali, Davide Grossi, Ronald de Haan
http://arxiv.org/abs/1911.08182v1
• [cs.DC]Evaluation of performance portability frameworks for the implementation of a particle-in-cell code
Victor Artigues, Katharina Kormann, Markus Rampp, Klaus Reuter
http://arxiv.org/abs/1911.08394v1
• [cs.DC]On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning
Aritra Dutta, El Houcine Bergou, Ahmed M. Abdelmoniem, Chen-Yu Ho, Atal Narayan Sahu, Marco Canini, Panos Kalnis
http://arxiv.org/abs/1911.08250v1
• [cs.DC]PES: Proactive Event Scheduling for Responsive and Energy-Efficient Mobile Web Computing
Yu Feng, Yuhao Zhu
http://arxiv.org/abs/1911.07787v1
• [cs.DC]The Design and Implementation of a Scalable DL Benchmarking Platform
Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-mei Hwu
http://arxiv.org/abs/1911.08031v1
• [cs.DS]Consistent recovery threshold of hidden nearest neighbor graphs
Jian Ding, Yihong Wu, Jiaming Xu, Dana Yang
http://arxiv.org/abs/1911.08004v1
• [cs.DS]Low-Rank Toeplitz Matrix Estimation via Random Ultra-Sparse Rulers
Hannah Lawrence, Jerry Li, Cameron Musco, Christopher Musco
http://arxiv.org/abs/1911.08015v1
• [cs.DS]Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering
Ilias Diakonikolas, Sushrut Karmalkar, Daniel Kane, Eric Price, Alistair Stewart
http://arxiv.org/abs/1911.08085v1
• [cs.GT]All-Pay Bidding Games on Graphs
Guy Avni, Rasmus Ibsen-Jensen, Josef Tkadlec
http://arxiv.org/abs/1911.08360v1
• [cs.GT]Defending with Shared Resources on a Network
Minming Li, Long Tran-Thanh, Xiaowei Wu
http://arxiv.org/abs/1911.08196v1
• [cs.IT]Computation Offloading in the Untrusted MEC-aided Mobile Blockchain IoT System
Yiping Zuo, Shi Jin, Shengli Zhang
http://arxiv.org/abs/1911.08255v1
• [cs.IT]Cooperative Multiple-Access Channels with Distributed State Information
Lorenzo Miretti, Mari Kobayashi, David Gesbert, Paul de Kerret
http://arxiv.org/abs/1911.07899v1
• [cs.IT]Estimating Entropy of Distributions in Constant Space
Jayadev Acharya, Sourbh Bhadane, Piotr Indyk, Ziteng Sun
http://arxiv.org/abs/1911.07976v1
• [cs.IT]Hierarchical Distribution Matching: a Versatile Tool for Probabilistic Shaping
Stella Civelli, Marco Secondini
http://arxiv.org/abs/1911.08243v1
• [cs.IT]Joint Unicast and Multi-group Multicast Transmission in Massive MIMO Systems
Meysam Sadeghi, Emil Björnson, Erik G. Larsson, Chau Yuen, Thomas L. Marzetta
http://arxiv.org/abs/1911.08165v1
• [cs.IT]Low Complexity Autoencoder based End-to-End Learning of Coded Communications Systems
Nuwanthika Rajapaksha, Nandana Rajatheva, Matti Latva-aho
http://arxiv.org/abs/1911.08009v1
• [cs.IT]Low-Complexity Linear Equalization for OTFS Systems with Rectangular Waveforms
Wenjun Xu, Tingting Zou, Hui Gao, Zhisong Bie, Zhiyong Feng, Zhiguo Ding
http://arxiv.org/abs/1911.08133v1
• [cs.IT]New entanglement-assisted quantum MDS codes with length $n=\frac{q^2+1}5$
Shixin Zhu, Wan Jiang, Xiaojing Chen
http://arxiv.org/abs/1911.08416v1
• [cs.IT]On the Upper Bound of the Kullback-Leibler Divergence and Cross Entropy
Min Chen, Mateu Sbert
http://arxiv.org/abs/1911.08334v1
• [cs.IT]Optimal repairing schemes for Reed-Solomon codes with alphabet sizes linear in lengths under the rack-aware model
Lingfei Jin, Gaojun Luo, Chaoping Xing
http://arxiv.org/abs/1911.08016v1
• [cs.IT]Placement Optimization of Aerial Base Stations with Deep Reinforcement Learning
Jin Qiu, Jiangbin Lyu, Liqun Fu
http://arxiv.org/abs/1911.08111v1
• [cs.IT]Super-Nyquist Rateless Coding for Intersymbol Interference Channels
Uri Erez, Gregory W. Wornell
http://arxiv.org/abs/1911.08034v1
• [cs.IT]Towards A Theory of Duality for Graph Signal Processing
B Subbareddy, S Sai Ashish, Aditya Siripuram
http://arxiv.org/abs/1911.08135v1
• [cs.IT]Two-Way Physical Layer Security Protocol for Gaussian Channels
Masahito Hayashi, Angeles Vazquez-Castro
http://arxiv.org/abs/1911.08150v1
• [cs.LG]A Bias Trick for Centered Robust Principal Component Analysis
Baokun He, Guihong Wan, Haim Schweitzer
http://arxiv.org/abs/1911.08024v1
• [cs.LG]A Multi-Task Gradient Descent Method for Multi-Label Learning
Lu Bai, Yew-Soon Ong, Tiantian He, Abhishek Gupta
http://arxiv.org/abs/1911.07693v2
• [cs.LG]A Study on various state of the art of the Art Face Recognition System using Deep Learning Techniques
Sukhada Chokkadi, Sannidhan M S, Sudeepa K B, Abhir Bhandary
http://arxiv.org/abs/1911.08426v1
• [cs.LG]A model for predicting price polarity of real estate properties using information of real estate market websites
Vladimir Vargas-Calderón, Jorge E. Camargo
http://arxiv.org/abs/1911.08382v1
• [cs.LG]ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
Ekagra Ranjan, Soumya Sanyal, Partha Pratim Talukdar
http://arxiv.org/abs/1911.07979v1
• [cs.LG]Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning
Yingru Liu, Xuewen Yang, Dongliang Xie, Xin Wang, Li Shen, Haozhi Huang, Niranjan Balasubramanian
http://arxiv.org/abs/1911.08065v1
• [cs.LG]Adaptive Routing Between Capsules
Qiang Ren, Shaohua Shang, Lianghua He
http://arxiv.org/abs/1911.08119v1
• [cs.LG]Adversarial Attacks on Grid Events Classification: An Adversarial Machine Learning Approach
Iman Niazazari, Hanif Livani
http://arxiv.org/abs/1911.08011v1
• [cs.LG]Attribute noise robust binary classification
Aditya Petety, Sandhya Tripathi, N Hemachandra
http://arxiv.org/abs/1911.07875v1
• [cs.LG]Basic Principles of Clustering Methods
Alexander Jung, Ivan Baranov
http://arxiv.org/abs/1911.07891v1
• [cs.LG]Benanza: Automatic $μ$Benchmark Generation to Compute “Lower-bound” Latency and Inform Optimizations of Deep Learning Models on GPUs
Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-mei Hwu
http://arxiv.org/abs/1911.06922v2
• [cs.LG]Can You Really Backdoor Federated Learning?
Ziteng Sun, Peter Kairouz, Ananda Theertha Suresh, H. Brendan McMahan
http://arxiv.org/abs/1911.07963v1
• [cs.LG]Carpe Diem, Seize the Samples Uncertain “At the Moment” for Adaptive Batch Selection
Hwanjun Song, Minseok Kim, Sundong Kim, Jae-Gil Lee
http://arxiv.org/abs/1911.08050v1
• [cs.LG]Comments on the Du-Kakade-Wang-Yang Lower Bounds
Benjamin Van Roy, Shi Dong
http://arxiv.org/abs/1911.07910v1
• [cs.LG]DARB: A Density-Aware Regular-Block Pruning for Deep Neural Networks
Ao Ren, Tao Zhang, Yuhao Wang, Sheng Lin, Peiyan Dong, Yen-kuang Chen, Yuan Xie, Yanzhi Wang
http://arxiv.org/abs/1911.08020v1
• [cs.LG]DLBricks: Composable Benchmark Generation toReduce Deep Learning Benchmarking Effort on CPUs
Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-mei Hwu
http://arxiv.org/abs/1911.07967v1
• [cs.LG]Deep Detector Health Management under Adversarial Campaigns
Javier Echauz, Keith Kenemer, Sarfaraz Hussein, Jay Dhaliwal, Saurabh Shintre, Slawomir Grzonkowski, Andrew Gardner
http://arxiv.org/abs/1911.08090v1
• [cs.LG]Deep Tile Coder: an Efficient Sparse Representation Learning Approach with applications in Reinforcement Learning
Yangchen Pan
http://arxiv.org/abs/1911.08068v1
• [cs.LG]Driver Identification Based on Vehicle Telematics Data using LSTM-Recurrent Neural Network
Abenezer Girma, Xuyang Yan, Abdollah Homaifar
http://arxiv.org/abs/1911.08030v1
• [cs.LG]Eigenvalue Normalized Recurrent Neural Networks for Short Term Memory
Kyle Helfrich, Qiang Ye
http://arxiv.org/abs/1911.07964v1
• [cs.LG]Eliminating artefacts in Polarimetric Images using Deep Learning
Dhruv Paranjpye, Ashish Mahabal, A. N. Ramaprakash, Gina Panopoulou, Kieran Cleary, Anthony Readhead, Dmitry Blinov, Kostas Tassis
http://arxiv.org/abs/1911.08327v1
• [cs.LG]Energy Usage Reports: Environmental awareness as part of algorithmic accountability
Kadan Lottick, Silvia Susai, Sorelle A. Friedler, Jonathan P. Wilson
http://arxiv.org/abs/1911.08354v1
• [cs.LG]Fair Learning-to-Rank from Implicit Feedback
Himank Yadav, Zhengxiao Du, Thorsten Joachims
http://arxiv.org/abs/1911.08054v1
• [cs.LG]Implicit Generative Modeling for Efficient Exploration
Neale Ratzlaff, Qinxun Bai, Li Fuxin, Wei Xu
http://arxiv.org/abs/1911.08017v1
• [cs.LG]Implicit Regularization of Normalization Methods
Xiaoxia Wu, Edgar Dobriban, Tongzheng Ren, Shanshan Wu, Zhiyuan Li, Suriya Gunasekar, Rachel Ward, Qiang Liu
http://arxiv.org/abs/1911.07956v1
• [cs.LG]Information-Theoretic Local Minima Characterization and Regularization
Zhiwei Jia, Hao Su
http://arxiv.org/abs/1911.08192v1
• [cs.LG]Inter-layer Collision Networks
Junyi An, Fengshan Liu, Furao Shen, Jian Zhao
http://arxiv.org/abs/1911.08252v1
• [cs.LG]Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned
Max Berrendorf, Evgeniy Faerman, Valentyn Melnychuk, Volker Tresp, Thomas Seidl
http://arxiv.org/abs/1911.08342v1
• [cs.LG]Learning Permutation Invariant Representations using Memory Networks
Shivam Kalra, Mohammed Adnan, Graham Taylor, Hamid Tizhoosh
http://arxiv.org/abs/1911.07984v1
• [cs.LG]Live Face De-Identification in Video
Oran Gafni, Lior Wolf, Yaniv Taigman
http://arxiv.org/abs/1911.08348v1
• [cs.LG]MANGA: Method Agnostic Neural-policy Generalization and Adaptation
Homanga Bharadhwaj, Shoichiro Yamaguchi, Shin-ichi Maeda
http://arxiv.org/abs/1911.08444v1
• [cs.LG]Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
Julian Schrittwieser, Ioannis Antonoglou, Thomas Hubert, Karen Simonyan, Laurent Sifre, Simon Schmitt, Arthur Guez, Edward Lockhart, Demis Hassabis, Thore Graepel, Timothy Lillicrap, David Silver
http://arxiv.org/abs/1911.08265v1
• [cs.LG]Mixed-curvature Variational Autoencoders
Ondrej Skopek, Octavian-Eugen Ganea, Gary Bécigneul
http://arxiv.org/abs/1911.08411v1
• [cs.LG]Modelling pressure-Hessian from local velocity gradients information in an incompressible turbulent flow field using deep neural networks
Nishant Parashar, Sawan S. Sinha, Balaji Srinivasan
http://arxiv.org/abs/1911.08056v1
• [cs.LG]Neural Forest Learning
Yun-Hao Cao, Jianxin Wu
http://arxiv.org/abs/1911.07845v1
• [cs.LG]Online Learned Continual Compression with Stacked Quantization Module
Lucas Caccia, Eugene Belilovsky, Massimo Caccia, Joelle Pineau
http://arxiv.org/abs/1911.08019v1
• [cs.LG]PRINCE: Provider-side Interpretability with Counterfactual Explanations in Recommender Systems
Azin Ghazimatin, Oana Balalau, Rishiraj Saha Roy, Gerhard Weikum
http://arxiv.org/abs/1911.08378v1
• [cs.LG]Planning with Goal-Conditioned Policies
Soroush Nasiriany, Vitchyr H. Pong, Steven Lin, Sergey Levine
http://arxiv.org/abs/1911.08453v1
• [cs.LG]Predicting overweight and obesity in later life from childhood data: A review of predictive modeling approaches
Ilkka Rautiainen, Sami Äyrämö
http://arxiv.org/abs/1911.08361v1
• [cs.LG]Prestopping: How Does Early Stopping Help Generalization against Label Noise?
Hwanjun Song, Minseok Kim, Dongmin Park, Jae-Gil Lee
http://arxiv.org/abs/1911.08059v1
• [cs.LG]Privacy Leakage Avoidance with Switching Ensembles
Rauf Izmailov, Peter Lin, Chris Mesterharm, Samyadeep Basu
http://arxiv.org/abs/1911.07921v1
• [cs.LG]Program synthesis performance constrained by non-linear spatial relations in Synthetic Visual Reasoning Test
Lu Yihe, Scott C. Lowe, Penelope A. Lewis, Mark C. W. van Rossum
http://arxiv.org/abs/1911.07721v2
• [cs.LG]RWNE: A Scalable Random-Walk based Network Embedding Framework with Personalized Higher-order Proximity Preserved
Yu He, Jianxin Li, Yangqiu Song, Xinmiao Zhang, Fanzhang Peng, Hao Peng
http://arxiv.org/abs/1911.07874v1
• [cs.LG]Revealing Perceptible Backdoors, without the Training Set, via the Maximum Achievable Misclassification Fraction Statistic
Zhen Xiang, David J. Miller, George Kesidis
http://arxiv.org/abs/1911.07970v1
• [cs.LG]Sequential Mode Estimation with Oracle Queries
Dhruti Shah, Tuhinangshu Choudhury, Nikhil Karamchandani, Aditya Gopalan
http://arxiv.org/abs/1911.08197v1
• [cs.LG]Survival and Neural Models for Private Equity Exit Prediction
Giuseppe C. Calafiore, Marisa H. Morales, Vittorio Tiozzo, Giulia Fracastoro, Serge Marquie
http://arxiv.org/abs/1911.08201v1
• [cs.LG]Temporal Knowledge Graph Embedding Model based on Additive Time Series Decomposition
Chengjin Xu, Mojtaba Nayyeri, Fouad Alkhoury, Jens Lehmann, Hamed Shariat Yazdi
http://arxiv.org/abs/1911.07893v1
• [cs.LG]Thick-Net: Parallel Network Structure for Sequential Modeling
Yu-Xuan Li, Jin-Yuan Liu, Liang Li, Xiang Guan
http://arxiv.org/abs/1911.08074v1
• [cs.LG]Towards non-toxic landscapes: Automatic toxic comment detection using DNN
Ashwin Geet D’Sa, Irina Illina, Dominique Fohr
http://arxiv.org/abs/1911.08395v1
• [cs.LG]Towards unstructured mortality prediction with free-text clinical notes
Mohammad Hashir, Rapinder Sawhney
http://arxiv.org/abs/1911.08437v1
• [cs.LG]Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling
Qian Wang, Toby P. Breckon
http://arxiv.org/abs/1911.07982v1
• [cs.LG]Variance Reduced Advantage Estimation with $δ$ Hindsight Credit Assignment
Kenny Young
http://arxiv.org/abs/1911.08362v1
• [cs.LG]WITCHcraft: Efficient PGD attacks with random step size
Ping-Yeh Chiang, Jonas Geiping, Micah Goldblum, Tom Goldstein, Renkun Ni, Steven Reich, Ali Shafahi
http://arxiv.org/abs/1911.07989v1
• [cs.LG]vqSGD: Vector Quantized Stochastic Gradient Descent
Venkata Gandikota, Raj Kumar Maity, Arya Mazumdar
http://arxiv.org/abs/1911.07971v1
• [cs.MA]Cooperative Pathfinding based on high-scalability Multi-agent RRT*
Jinmingwu Jiang, Kaigui Wu
http://arxiv.org/abs/1911.07840v1
• [cs.NE]Deep Spiking Neural Networks for Large Vocabulary Automatic Speech Recognition
Jibin Wu, Emre Yilmaz, Malu Zhang, Haizhou Li, Kay Chen Tan
http://arxiv.org/abs/1911.08373v1
• [cs.NE]ImmuNeCS: Neural Committee Search by an Artificial Immune System
Luc Frachon, Wei Pang, George M. Coghill
http://arxiv.org/abs/1911.07729v2
• [cs.NE]Unsupervised AER Object Recognition Based on Multiscale Spatio-Temporal Features and Spiking Neurons
Qianhui Liu, Gang Pan, Haibo Ruan, Dong Xing, Qi Xu, Huajin Tang
http://arxiv.org/abs/1911.08261v1
• [cs.NI]Delay-Aware Wireless Network Coding in Adversarial Traffic
Yu-Pin Hsu
http://arxiv.org/abs/1911.08078v1
• [cs.NI]The geopolitics behind the routes data travels: a case study of Iran
Loqman Salamatian, Frederick Douzet, Kevin Limonier, Kavé Salamatian
http://arxiv.org/abs/1911.07723v2
• [cs.RO]A Deep Learning Approach for Robust Corridor Following
Vishnu Sashank Dorbala, A. H. Abdul Hafez, C. V. Jawahar
http://arxiv.org/abs/1911.07896v1
• [cs.RO]Long-Term Personalization of an In-Home Socially Assistive Robot for Children With Autism Spectrum Disorders
Caitlyn Clabaugh, Kartik Mahajan, Shomik Jain, Roxanna Pakkar, David Becerra, Zhonghao Shi, Eric Deng, Rhianna Lee, Gisele Ragusa, Maja Matarić
http://arxiv.org/abs/1911.07992v1
• [cs.RO]Nonlinear Model Predictive Control with Actuator Constraints for Multi-Rotor Aerial Vehicles
Davide Bicego, Jacopo Mazzetto, Ruggero Carli, Marcello Farina, Antonio Franchi
http://arxiv.org/abs/1911.08183v1
• [cs.RO]Robot Calligraphy using Pseudospectral Optimal Control in Conjunction with a Simulated Brush Model
Sen Wang, Jiaqi Chen, Xuanliang Deng, Seth Hutchinson, Frank Dellaert
http://arxiv.org/abs/1911.08002v1
• [cs.RO]Task-Based Hybrid Shared Control for Training Through Forceful Interaction
Kathleen Fitzsimons, Aleksandra Kalinowska, Julius P. A. Dewald, Todd Murphey
http://arxiv.org/abs/1911.07983v1
• [cs.RO]User-Driven Functional Movement Training with a Wearable Hand Robot after Stroke
Sangwoo Park, Michaela Fraser, Lynne M. Weber, Cassie Meeker, Lauri Bishop, Daniel Geller, Joel Stein, Matei Ciocarlie
http://arxiv.org/abs/1911.08003v1
• [cs.SD]Alternating Between Spectral and Spatial Estimation for Speech Separation and Enhancement
Zhong-Qiu Wang, Scott Wisdom, Kevin Wilson, John R. Hershey
http://arxiv.org/abs/1911.07953v1
• [cs.SD]Improving Universal Sound Separation Using Sound Classification
Efthymios Tzinis, Scott Wisdom, John R. Hershey, Aren Jansen, Daniel P. W. Ellis
http://arxiv.org/abs/1911.07951v1
• [cs.SE]Commit2Vec: Learning Distributed Representations of Code Changes
Rocìo Cabrera Lozoya, Arnaud Baumann, Antonino Sabetta, Michele Bezzi
http://arxiv.org/abs/1911.07605v2
• [cs.SI]Adaptive Greedy versus Non-adaptive Greedy for Influence Maximization
Wei Chen, Binghui Peng, Grant Schoenebeck, Biaoshuai Tao
http://arxiv.org/abs/1911.08164v1
• [cs.SI]Event detection in Colombian security Twitter news using fine-grained latent topic analysis
Vladimir Vargas-Calderón, Nicolás Parra-A., Jorge E. Camargo, Herbert Vinck-Posada
http://arxiv.org/abs/1911.08370v1
• [cs.SI]Graph Learning for Spatiotemporal Signal with Long Short-Term Characterization
Yueliang Liu, Wenbin Guo, Kangyong You, Lei Zhao, Tao Peng, Wenbo Wang
http://arxiv.org/abs/1911.08018v1
• [eess.AS]Neural Network based End-to-End Query by Example Spoken Term Detection
Dhananjay Ram, Lesly Miculicich, Hervé Bourlard
http://arxiv.org/abs/1911.08332v1
• [eess.IV]Automated fetal brain extraction from clinical Ultrasound volumes using 3D Convolutional Neural Networks
Felipe Moser, Ruobing Huang, Aris T. Papageorghiou, Bartlomiej W. Papiez, Ana I. L. Namburete
http://arxiv.org/abs/1911.07566v2
• [eess.IV]CD2 : Combined Distances of Contrast Distributions for the Assessment of Perceptual Quality of Image Processing
Sascha Xu, Jan Bauer, Benjamin Axmann
http://arxiv.org/abs/1911.07995v1
• [eess.IV]Convolutional Neural Network and decision support in medical imaging: case study of the recognition of blood cell subtypes
Daouda Diouf, Djibril Seck, Mountaga Diop, Abdoulye Ba
http://arxiv.org/abs/1911.08010v1
• [eess.IV]Frequency Separation for Real-World Super-Resolution
Manuel Fritsche, Shuhang Gu, Radu Timofte
http://arxiv.org/abs/1911.07850v1
• [eess.IV]HighEr-Resolution Network for Image Demosaicing and Enhancing
Kangfu Mei, Juncheng Li, Jiajie Zhang, Haoyu Wu, Jie Li, Rui Huang
http://arxiv.org/abs/1911.08098v1
• [eess.IV]ISP4ML: Understanding the Role of Image Signal Processing in Efficient Deep Learning Vision Systems
Patrick Hansen, Alexey Vilkin, Yury Khrustalev, David Hanwell, Matthew Mattina, Paul N. Whatmough
http://arxiv.org/abs/1911.07954v1
• [eess.IV]LNDb: A Lung Nodule Database on Computed Tomography
João Pedrosa, Guilherme Aresta, Carlos Ferreira, Márcio Rodrigues, Patrícia Leitão, André Silva Carvalho, João Rebelo, Eduardo Negrão, Isabel Ramos, António Cunha, Aurélio Campilho
http://arxiv.org/abs/1911.08434v1
• [eess.IV]Multi-Resolution 3D CNN for MRI Brain Tumor Segmentation and Survival Prediction
Mehdi Amian, Mohammadreza Soltaninejad
http://arxiv.org/abs/1911.08388v1
• [eess.IV]Projection-to-Projection Translation for Hybrid X-ray and Magnetic Resonance Imaging
Bernhard Stimpel, Christopher Syben, Tobias Würfl, Katharina Breininger, Philipp Hoelter, Arnd Dörfler, Andreas Maier
http://arxiv.org/abs/1911.08163v1
• [eess.IV]Three-dimensional Generative Adversarial Nets for Unsupervised Metal Artifact Reduction
Megumi Nakao, Keiho Imanishi, Nobuhiro Ueda, Yuichiro Imai, Tadaaki Kirita, Tetsuya Matsuda
http://arxiv.org/abs/1911.08105v1
• [eess.IV]Visualization approach to assess the robustness of neural networks for medical image classification
Elina Thibeau Sutre, Olivier Colliot, Didier Dormont, Ninon Burgos
http://arxiv.org/abs/1911.08264v1
• [eess.SP]AddNet: Deep Neural Networks Using FPGA-Optimized Multipliers
Julian Faraone, Martin Kumm, Martin Hardieck, Peter Zipf, Xueyuan Liu, David Boland, Philip H. W. Leong
http://arxiv.org/abs/1911.08097v1
• [eess.SP]Comparison of Deep learning models on time series forecasting : a case study of Dissolved Oxygen Prediction
Hongqian Qin
http://arxiv.org/abs/1911.08414v1
• [eess.SP]iGateLink: A Gateway Library for Linking IoT, Edge, Fog and Cloud Computing Environments
Riccardo Mancini, Shreshth Tuli, Tommaso Cucinotta, Rajkumar Buyya
http://arxiv.org/abs/1911.08413v1
• [math.DS]A topological dynamical system with two different positive sofic entropies
Dylan Airey, Lewis Bowen, Frank Lin
http://arxiv.org/abs/1911.08272v1
• [math.PR]On critical points of Gaussian random fields under diffeomorphic transformations
Dan Cheng, Armin Schwartzman
http://arxiv.org/abs/1911.08100v1
• [math.ST]Discussion contribution “Functional models for time-varying random objects’’ by Dubey and Müller (to appear in JRSS-B)
Wicher Bergsma
http://arxiv.org/abs/1911.08468v1
• [math.ST]Estimation of dynamic networks for high-dimensional nonstationary time series
Mengyu Xu, Xiaohui Chen, Weibiao Wu
http://arxiv.org/abs/1911.06385v2
• [math.ST]Improved clustering algorithms for the Bipartite Stochastic Block Model
Mohamed Ndaoud, Suzanne Sigalla, Alexandre B. Tsybakov
http://arxiv.org/abs/1911.07987v1
• [math.ST]Infinitesimal generators for two-dimensional Lévy process-driven hypothesis testing
Michael Roberts, Indranil SenGupta
http://arxiv.org/abs/1911.08412v1
• [math.ST]Minimax rates of $\ell_p$-losses for high-dimensional linear regression models with additive measurement errors over $\ell_q$-balls
Xin Li, Dongya Wu
http://arxiv.org/abs/1911.08063v1
• [math.ST]Sparse recovery via nonconvex regularized $M$-estimators over $\ell_q$-balls
Xin Li, Dongya Wu, Chong Li, Jinhua Wang, Jen-Chih Yao
http://arxiv.org/abs/1911.08061v1
• [q-bio.QM]Estimation of Orientation and Camera Parameters from Cryo-Electron Microscopy Images with Variational Autoencoders and Generative Adversarial Networks
Nina Miolane, Frédéric Poitevin, Yee-Ting Li, Susan Holmes
http://arxiv.org/abs/1911.08121v1
• [stat.AP]A regularized hidden Markov model for analyzing the ‘hot shoe’ in football
Marius Ötting, Andreas Groll
http://arxiv.org/abs/1911.08138v1
• [stat.AP]Anomaly and Novelty detection for robust semi-supervised learning
Andrea Cappozzo, Francesca Greselin, Thomas Brendan Murphy
http://arxiv.org/abs/1911.08381v1
• [stat.AP]Common Growth Patterns for Regional Social Networks: a Point Process Approach
Tiandong Wang, Sidney I. Resnick
http://arxiv.org/abs/1911.07902v1
• [stat.AP]Large-Scale Spatiotemporal Density Smoothing with the Graph-fused Elastic Net: Application to Ride-sourcing Driver Productivity Analysis
Mauricio Tec, Natalia Zuniga-Garcia, Randy B. Machemehl, James G. Scott
http://arxiv.org/abs/1911.08106v1
• [stat.AP]Principal Stratification for Advertising Experiments
Ron Berman, Elea McDonnell Feit
http://arxiv.org/abs/1911.08438v1
• [stat.ME]A Normal Approximation Method for Statistics in Knockouts
Yutong Nie, Chenhe Zhang
http://arxiv.org/abs/1911.08103v1
• [stat.ME]Gradient-based Sparse Principal Component Analysis with Extensions to Online Learning
Yixuan Qiu, Jing Lei, Kathryn Roeder
http://arxiv.org/abs/1911.08048v1
• [stat.ME]Measuring spatiotemporal disease clustering with the tau statistic
Timothy M. Pollington, Michael J. Tildesley, T. Déirdre Hollingsworth, Lloyd A. C. Chapman
http://arxiv.org/abs/1911.08022v1
• [stat.ME]Optimal tests for elliptical symmetry: specified and unspecified location
Sladana Babic, Laetitia Gelbgras, Marc Hallin, Christophe Ley
http://arxiv.org/abs/1911.08171v1
• [stat.ME]Uncertainty and Sensitivity Analyses Methods for Agent-Based Mathematical Models: An Introductory Review
Sara Hamis, Stanislav Stratiev, Gibin G Powathil
http://arxiv.org/abs/1911.08429v1
• [stat.ML]A Simple Heuristic for Bayesian Optimization with A Low Budget
Masahiro Nomura, Kenshi Abe
http://arxiv.org/abs/1911.07790v2
• [stat.ML]Deep Unsupervised Clustering with Clustered Generator Model
Dandan Zhu, Tian Han, Linqi Zhou, Xiaokang Yang, Ying Nian Wu
http://arxiv.org/abs/1911.08459v1
• [stat.ML]Learning Weighted Submanifolds with Variational Autoencoders and Riemannian Variational Autoencoders
Nina Miolane, Susan Holmes
http://arxiv.org/abs/1911.08147v1
• [stat.ML]SimVAE: Simulator-Assisted Training forInterpretable Generative Models
Akash Srivastava, Jessie Rosenberg, Dan Gutfreund, David D. Cox
http://arxiv.org/abs/1911.08051v1