cs.AI - 人工智能 cs.CC - 计算复杂度 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.DS - 数据结构与算法 cs.ET - 新兴技术 cs.FL - 形式语言与自动机理论 cs.GR - 计算机图形学 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.LO - 计算逻辑 cs.MA - 多代理系统 cs.MM - 多媒体 cs.MS - 数学软件 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.PF - 计算性能 cs.PL - 编程语言 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.soc-ph - 物理学与社会 physics.space-ph - 空间物理学 q-bio.BM - 生物分子 q-bio.PE - 人口与发展 q-bio.QM - 定量方法 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cs.AI]Abstract Reasoning with Distracting Features
• [cs.AI]BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent Communication)
• [cs.AI]Explainable artificial intelligence model to predict acute critical illness from electronic health records
• [cs.AI]Idle Time Optimization for Target Assignment and Path Finding in Sortation Centers
• [cs.AI]Just Ask:An Interactive Learning Framework for Vision and Language Navigation
• [cs.AI]Knowledge Infused Learning (K-IL): Towards Deep Incorporation of Knowledge in Deep Learning
• [cs.AI]Learning Bayesian networks from demographic and health survey data
• [cs.AI]Learning Driving Decisions by Imitating Drivers’ Control Behaviors
• [cs.AI]Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning
• [cs.AI]Optimality and limitations of audio-visual integration for cognitive systems
• [cs.AI]SafeLife 1.0: Exploring Side Effects in Complex Environments
• [cs.AI]Self-Learned Formula Synthesis in Set Theory
• [cs.AI]Towards Successful Collaboration: Design Guidelines for AI-based Services enriching Information Systems in Organisations
• [cs.CC]On the relation between structured $d$-DNNFs and SDDs
• [cs.CL]A Hybrid Approach Towards Two Stage Bengali Question Classification Utilizing Smart Data Balancing Technique
• [cs.CL]An Annotated Dataset of Coreference in English Literature
• [cs.CL]AntNet: Deep Answer Understanding Network for Natural Reverse QA
• [cs.CL]Automatic Creation of Text Corpora for Low-Resource Languages from the Internet: The Case of Swiss German
• [cs.CL]BLiMP: A Benchmark of Linguistic Minimal Pairs for English
• [cs.CL]Cross-lingual Pre-training Based Transfer for Zero-shot Neural Machine Translation
• [cs.CL]Dynamic Prosody Generation for Speech Synthesis using Linguistics-Driven Acoustic Embedding Selection
• [cs.CL]Enriching Existing Conversational Emotion Datasets with Dialogue Acts using Neural Annotators
• [cs.CL]Fiction Sentence Expansion and Enhancement via Focused Objective and Novelty Curve Sampling
• [cs.CL]GANCoder: An Automatic Natural Language-to-Programming Language Translation Approach based on GAN
• [cs.CL]HSCJN: A Holistic Semantic Constraint Joint Network for Diverse Response Generation
• [cs.CL]Improving Question Generation with Sentence-level Semantic Matching and Answer Position Inferring
• [cs.CL]Integrate Image Representation to Text Model on Sentence Level: a Semi-supervised Framework
• [cs.CL]Integrating Graph Contextualized Knowledge into Pre-trained Language Models
• [cs.CL]Knowledge-Enriched Visual Storytelling
• [cs.CL]Language Model Bootstrapping Using Neural Machine Translation For Conversational Speech Recognition
• [cs.CL]Large-scale text processing pipeline with Apache Spark
• [cs.CL]Learning Word Ratings for Empathy and Distress from Document-Level User Responses
• [cs.CL]Leveraging Contextual Embeddings for Detecting Diachronic Semantic Shift
• [cs.CL]Machines Getting with the Program: Understanding Intent Arguments of Non-Canonical Directives
• [cs.CL]Merging External Bilingual Pairs into Neural Machine Translation
• [cs.CL]Modeling Fluency and Faithfulness for Diverse Neural Machine Translation
• [cs.CL]Modeling German Verb Argument Structures: LSTMs vs. Humans
• [cs.CL]Modelling Semantic Categories using Conceptual Neighborhood
• [cs.CL]Morphological Tagging and Lemmatization of Albanian: A Manually Annotated Corpus and Neural Models
• [cs.CL]Multi-Scale Self-Attention for Text Classification
• [cs.CL]Reading the Manual: Event Extraction as Definition Comprehension
• [cs.CL]See and Read: Detecting Depression Symptoms in Higher Education Students Using Multimodal Social Media Data
• [cs.CL]SemEval-2017 Task 3: Community Question Answering
• [cs.CL]SemEval-2017 Task 4: Sentiment Analysis in Twitter
• [cs.CL]Simultaneously Linking Entities and Extracting Relations from Biomedical Text Without Mention-level Supervision
• [cs.CL]Solving Arithmetic Word Problems Automatically Using Transformer and Unambiguous Representations
• [cs.CL]Speeding up Word Mover’s Distance and its variants via properties of distances between embeddings
• [cs.CL]Tag Recommendation by Word-Level Tag Sequence Modeling
• [cs.CL]Topic-aware chatbot using Recurrent Neural Networks and Nonnegative Matrix Factorization
• [cs.CL]TutorialVQA: Question Answering Dataset for Tutorial Videos
• [cs.CL]Unsupervised Inflection Generation Using Neural Language Modeling
• [cs.CL]ZuCo 2.0: A Dataset of Physiological Recordings During Natural Reading and Annotation
• [cs.CR]End-to-End Deep Neural Networks and Transfer Learning for Automatic Analysis of Nation-State Malware
• [cs.CR]GDPArrrrr: Using Privacy Laws to Steal Identities
• [cs.CR]RESCUE: Interdependent Challenges of Reliability, Security and Quality in Nanoelectronic Systems
• [cs.CR]Towards Efficient Integration of Blockchain for IoT Security: The Case Study of IoT Remote Access
• [cs.CV]A Context-Aware Loss Function for Action Spotting in Soccer Videos
• [cs.CV]A Deep Convolutional Network for Seismic Shot-Gather Image Quality Classification
• [cs.CV]A Free Lunch in Generating Datasets: Building a VQG and VQA System with Attention and Humans in the Loop
• [cs.CV]A Multigrid Method for Efficiently Training Video Models
• [cs.CV]A Programmatic and Semantic Approach to Explaining and DebuggingNeural Network Based Object Detectors
• [cs.CV]A Robust Iris Authentication System on GPU-Based Edge Devices using Multi-Modalities Learning Model
• [cs.CV]ATIS + SpiNNaker: a Fully Event-based Visual Tracking Demonstration
• [cs.CV]AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds
• [cs.CV]Affect-based Intrinsic Rewards for Learning General Representations
• [cs.CV]Alignment Free and Distortion Robust Iris Recognition
• [cs.CV]Assessing the Robustness of Visual Question Answering
• [cs.CV]Asymmetric Co-Teaching for Unsupervised Cross Domain Person Re-Identification
• [cs.CV]Automatic Video Object Segmentation via Motion-Appearance-Stream Fusion and Instance-aware Segmentation
• [cs.CV]BERT for Large-scale Video Segment Classification with Test-time Augmentation
• [cs.CV]Convolutional STN for Weakly Supervised Object Localization and Beyond
• [cs.CV]Cyclic Functional Mapping: Self-supervised correspondence between non-isometric deformable shapes
• [cs.CV]DAL — A Deep Depth-aware Long-term Tracker
• [cs.CV]DEGAS: Differentiable Efficient Generator Search
• [cs.CV]Deep Bayesian Active Learning for Multiple Correct Outputs
• [cs.CV]Deep Learning for Visual Tracking: A Comprehensive Survey
• [cs.CV]DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction
• [cs.CV]Detecting Finger-Vein Presentation Attacks Using 3D Shape & Diffuse Reflectance Decomposition
• [cs.CV]Diversifying Inference Path Selection: Moving-Mobile-Network for Landmark Recognition
• [cs.CV]Dynamic Graph Representation for Partially Occluded Biometrics
• [cs.CV]EDAS: Efficient and Differentiable Architecture Search
• [cs.CV]Efficient Convolutional Neural Networks for Depth-Based Multi-Person Pose Estimation
• [cs.CV]End to End Trainable Active Contours via Differentiable Rendering
• [cs.CV]EventGAN: Leveraging Large Scale Image Datasets for Event Cameras
• [cs.CV]Exploiting Motion Information from Unlabeled Videos for Static Image Action Recognition
• [cs.CV]Exposing and Correcting the Gender Bias in Image Captioning Datasets and Models
• [cs.CV]Face Detection with Feature Pyramids and Landmarks
• [cs.CV]FlowNet3D++: Geometric Losses For Deep Scene Flow Estimation
• [cs.CV]GGNN: Graph-based GPU Nearest Neighbor Search
• [cs.CV]Gate-Shift Networks for Video Action Recognition
• [cs.CV]Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification
• [cs.CV]IENet: Interacting Embranchment One Stage Anchor Free Detector for Orientation Aerial Object Detection
• [cs.CV]IPG-Net: Image Pyramid Guidance Network for Object Detection
• [cs.CV]Image Based Identification of Ghanaian Timbers Using the XyloTron: Opportunities, Risks and Challenges
• [cs.CV]Improving Model Drift for Robust Object Tracking
• [cs.CV]Information bottleneck through variational glasses
• [cs.CV]Interpreting Context of Images using Scene Graphs
• [cs.CV]Joint Graph-based Depth Refinement and Normal Estimation
• [cs.CV]Just Go with the Flow: Self-Supervised Scene Flow Estimation
• [cs.CV]LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation
• [cs.CV]Learning to Relate from Captions and Bounding Boxes
• [cs.CV]Learning to Super Resolve Intensity Images from Events
• [cs.CV]LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition
• [cs.CV]MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot Classification
• [cs.CV]Mixture Dense Regression for Object Detection and Human Pose Estimation
• [cs.CV]MnasFPN: Learning Latency-aware Pyramid Architecture for Object Detection on Mobile Devices
• [cs.CV]More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation
• [cs.CV]Morphing and Sampling Network for Dense Point Cloud Completion
• [cs.CV]Multi-Criterion Evolutionary Design of Deep Convolutional Neural Networks
• [cs.CV]Multi-resolution Graph Neural Network for Identifying Disease-specific Variations in Brain Connectivity
• [cs.CV]Patchy Image Structure Classification Using Multi-Orientation Region Transform
• [cs.CV]Pruning at a Glance: Global Neural Pruning for Model Compression
• [cs.CV]QUEST: Quantized embedding space for transferring knowledge
• [cs.CV]RGPNet: A Real-Time General Purpose Semantic Segmentation
• [cs.CV]RSA: Randomized Simulation as Augmentation for Robust Human Action Recognition
• [cs.CV]RST-MODNet: Real-time Spatio-temporal Moving Object Detection for Autonomous Driving
• [cs.CV]Real-Time Panoptic Segmentation from Dense Detections
• [cs.CV]Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task
• [cs.CV]Robust Morph-Detection at Automated Border Control Gate using Deep Decomposed 3D Shape and Diffuse Reflectance
• [cs.CV]SAIS: Single-stage Anchor-free Instance Segmentation
• [cs.CV]SPSTracker: Sub-Peak Suppression of Response Map for Robust Object Tracking
• [cs.CV]Skeleton based Activity Recognition by Fusing Part-wise Spatio-temporal and Attention Driven Residues
• [cs.CV]Supervised and Unsupervised End-to-End Deep Learning for Gene Ontology Classification of Neural In Situ Hybridization Images
• [cs.CV]The Analysis of Projective Transformation Algorithms for Image Recognition on Mobile Devices
• [cs.CV]The Group Loss for Deep Metric Learning
• [cs.CV]Training Object Detectors from Few Weakly-Labeled and Many Unlabeled Images
• [cs.CV]Training the Convolutional Neural Network with Statistical Dependence of the Response on the Input Data Distortion
• [cs.CV]Urban Driving with Conditional Imitation Learning
• [cs.CV]View-Invariant Probabilistic Embedding for Human Pose
• [cs.CV]Viewpoint-Aware Loss with Angular Regularization for Person Re-Identification
• [cs.CY]A city-scale IoT-enabled ridesharing platform
• [cs.CY]EduBERT: Pretrained Deep Language Models for Learning Analytics
• [cs.CY]Facilitating on-line opinion dynamics by mining expressions of causation. The case of climate change debates on The Guardian
• [cs.CY]Introduction to Computational Thinking: a new high school curriculum using CodeWorld
• [cs.DB]Lambada: Interactive Data Analytics on Cold Data using Serverless Cloud Infrastructure
• [cs.DB]Ontologies for the Virtual Materials Marketplace
• [cs.DC]A Hybrid Graph Coloring Algorithm for GPUs
• [cs.DC]A Novel FPGA-Based High Throughput Accelerator For Binary Search Trees
• [cs.DC]Achieving Determinism in Adaptive AUTOSAR
• [cs.DC]BlockLot: Blockchain based Verifiable Lottery
• [cs.DC]Drndalo: Lightweight Control Flow Obfuscation Through Minimal Processor/Compiler Co-Design
• [cs.DC]Evaluating Reliability of SSD-Based I/O Caches in Enterprise Storage Systems
• [cs.DC]Federated Learning with Autotuned Communication-Efficient Secure Aggregation
• [cs.DC]GPU Algorithm for Earliest Arrival Time Problem in Public Transport Networks
• [cs.DC]GPU Support for Automatic Generation of Finite-Differences Stencil Kernels
• [cs.DC]LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing
• [cs.DC]MORPHOSYS: Efficient Colocation of QoS-Constrained Workloads in the Cloud
• [cs.DC]Mathematical Analysis and Algorithms for Federated Byzantine Agreement Systems
• [cs.DC]Prolonging Network Lifetime in Wireless Sensor Networks with Path-Constrained Mobile Sink
• [cs.DC]Recent Developments in Iterative Methods for Reducing Synchronization
• [cs.DC]Value-driven Manufacturing Planning using Cloud-based Evolutionary Optimisation
• [cs.DL]The future of urban models in the Big Data and AI era: a bibliometric analysis (2000-2019)
• [cs.DS]Scalable Graph Algorithms
• [cs.ET]Road traffic reservoir computing
• [cs.FL]Classifying Pattern and Feature Properties to Get a $Θ(n)$ Checker and Reformulation for Sliding Time-Series Constraints
• [cs.GR]A Bayesian Inference Framework for Procedural Material Parameter Estimation
• [cs.GT]Experimental Evidence for Asymptotic Non-Optimality of Comb Adversary Strategy
• [cs.HC]Addict Free — A Smart and Connected Relapse Intervention Mobile App
• [cs.HC]Heterogeneous Label Space Transfer Learning for Brain-Computer Interfaces: A Label Alignment Approach
• [cs.HC]KRM-based Dialogue Management
• [cs.HC]Talking with Robots: Opportunities and Challenges
• [cs.HC]Writing Across the World’s Languages: Deep Internationalization for Gboard, the Google Keyboard
• [cs.IR]A Fast Matrix-Completion-Based Approach for Recommendation Systems
• [cs.IR]A Human-AI Loop Approach for Joint Keyword Discovery and Expectation Estimation in Micropost Event Detection
• [cs.IR]An Investigation of Biases in Web Search Engine Query Suggestions
• [cs.IR]Latent Semantic Search and Information Extraction Architecture
• [cs.IR]Learning a faceted customer segmentation for discovering new business opportunities at Intel
• [cs.IR]Semantic Enrichment of Streaming Healthcare Data
• [cs.IR]TU Wien @ TREC Deep Learning ‘19 — Simple Contextualization for Re-ranking
• [cs.IR]Towards an Integrative Educational Recommender for Lifelong Learners
• [cs.IT]AI-Assisted Low Information Latency Wireless Networking
• [cs.IT]An Introduction to Communication Efficient Edge Machine Learning
• [cs.IT]Capacity-Approaching Polar Codes with Long Codewords and Successive Cancellation Decoding Based on Improved Gaussian Approximation
• [cs.IT]Constructions of (2, 1, 2) complete j-MDP convolutional codes
• [cs.IT]Deep-Learning-Aided Successive-Cancellation Decoding of Polar Codes
• [cs.IT]Energy Efficiency Optimization: A New Trade-off Between Fairness and Total System Performance
• [cs.IT]Generalization Error Bounds Via Rényi-, $f$-Divergences and Maximal Leakage
• [cs.IT]Grant-Free Massive Random Access With a Massive MIMO Receiver
• [cs.IT]IRS-Enhanced OFDMA: Joint Resource Allocation and Passive Beamforming Optimization
• [cs.IT]Improved S-AF and S-DF Relaying Schemes using Machine Learning based Power Allocation over Cascaded Rayleigh Fading Channels
• [cs.IT]Joint Active and Passive Beamforming for Intelligent Reflecting Surface-Assisted Massive MIMO Systems
• [cs.IT]New inconsistency indicators for incomplete pairwise comparisons matrices
• [cs.IT]On a generalization of the Jensen-Shannon divergence
• [cs.IT]On the connection between Deutsch-Jozsa algorithm and bent functions
• [cs.IT]PAPR-Limited Precoding in Massive MIMO Systems with Reflect- and Transmit-Array Antennas
• [cs.IT]Radio Map Based 3D Path Planning for Cellular-Connected UAV
• [cs.IT]Reconfigurable Intelligent Surfaces assisted Communications with Limited Phase Shifts: How Many Phase Shifts Are Enough?
• [cs.IT]Reconsidering Design of Multi-Antenna NOMA Systems with Limited Feedback
• [cs.IT]Robust and Secure Wireless Communications via Intelligent Reflecting Surfaces
• [cs.IT]Secure Regularized Zero Forcing for Multiuser MIMOME Channels
• [cs.IT]Short-Packet Transmission over a Bidirectional Massive MIMO link
• [cs.IT]Structure of Optimal Cache Placement for Coded Caching with Heterogeneous Demands
• [cs.IT]Using Massive MIMO Arrays for Joint Communication and Sensing
• [cs.IT]Zero Crossing Modulation for Communication with Temporally Oversampled 1-Bit Quantization
• [cs.LG]”How do urban incidents affect traffic speed?” A Deep Graph Convolutional Network for Incident-driven Traffic Speed Prediction
• [cs.LG]A Comparative Study of Pretrained Language Models on Thai Social Text Categorization
• [cs.LG]A Contextual-Bandit Approach to Online Learning to Rank for Relevance and Diversity
• [cs.LG]A Hidden Variables Approach to Multilabel Logistic Regression
• [cs.LG]A Method for Computing Class-wise Universal Adversarial Perturbations
• [cs.LG]A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression
• [cs.LG]AP-Perf: Incorporating Generic Performance Metrics in Differentiable Learning
• [cs.LG]Adaptive Divergence for Rapid Adversarial Optimization
• [cs.LG]Adaptive Online Planning for Continual Lifelong Learning
• [cs.LG]Adversarial normalization for multi domain image segmentation
• [cs.LG]Adversary A3C for Robust Reinforcement Learning
• [cs.LG]An Anomaly Contribution Explainer for Cyber-Security Applications
• [cs.LG]Anomaly Detection in Particulate Matter Sensor using Hypothesis Pruning Generative Adversarial Network
• [cs.LG]Automated curriculum generation for Policy Gradients from Demonstrations
• [cs.LG]Automated speech-based screening of depression using deep convolutional neural networks
• [cs.LG]Bayesian Optimization Approach for Analog Circuit Synthesis Using Neural Network
• [cs.LG]CNNs, LSTMs, and Attention Networks for Pathology Detection in Medical Data
• [cs.LG]Combining MixMatch and Active Learning for Better Accuracy with Fewer Labels
• [cs.LG]Continuous Graph Neural Networks
• [cs.LG]Continuous Online Learning and New Insights to Online Imitation Learning
• [cs.LG]Deep Neural Network Fingerprinting by Conferrable Adversarial Examples
• [cs.LG]Deep Probabilistic Models to Detect Data Poisoning Attacks
• [cs.LG]DeepFPC: Deep Unfolding of a Fixed-Point Continuation Algorithm for Sparse Signal Recovery from Quantized Measurements
• [cs.LG]Diagnostic Curves for Black Box Models
• [cs.LG]Differential Bayesian Neural Nets
• [cs.LG]Dis-entangling Mixture of Interventions on a Causal Bayesian Network Using Aggregate Observations
• [cs.LG]Dream to Control: Learning Behaviors by Latent Imagination
• [cs.LG]Drug-Target Indication Prediction by Integrating End-to-End Learning and Fingerprints
• [cs.LG]EMAP: Explanation by Minimal Adversarial Perturbation
• [cs.LG]Efficient Relaxed Gradient Support Pursuit for Sparsity Constrained Non-convex Optimization
• [cs.LG]Event Ticket Price Prediction with Deep Neural Network on Spatial-Temporal Sparse Data
• [cs.LG]ExperienceThinking: Hyperparameter Optimization with Budget Constraints
• [cs.LG]FT-ClipAct: Resilience Analysis of Deep Neural Networks and Improving their Fault Tolerance using Clipped Activation
• [cs.LG]Fast Stochastic Ordinal Embedding with Variance Reduction and Adaptive Step Size
• [cs.LG]Fastened CROWN: Tightened Neural Network Robustness Certificates
• [cs.LG]Federated Learning with Personalization Layers
• [cs.LG]Gaussian Embedding of Large-scale Attributed Graphs
• [cs.LG]GeoTrackNet-A Maritime Anomaly Detector using Probabilistic Neural Network Representation of AIS Tracks and A Contrario Detection
• [cs.LG]Is Discriminator a Good Feature Extractor?
• [cs.LG]KernelNet: A Data-Dependent Kernel Parameterization for Deep Generative Modeling
• [cs.LG]LOGAN: Latent Optimisation for Generative Adversarial Networks
• [cs.LG]Latent Replay for Real-Time Continual Learning
• [cs.LG]Learning Adversarial MDPs with Bandit Feedback and Unknown Transition
• [cs.LG]Learning Spatially Structured Image Transformations Using Planar Neural Networks
• [cs.LG]Learning to smell for wellness
• [cs.LG]Less Is Better: Unweighted Data Subsampling via Influence Function
• [cs.LG]Leveraging Procedural Generation to Benchmark Reinforcement Learning
• [cs.LG]Location Forensics of Media Recordings Utilizing Cascaded SVM and Pole-matching Classifiers
• [cs.LG]Long Distance Relationships without Time Travel: Boosting the Performance of a Sparse Predictive Autoencoder in Sequence Modeling
• [cs.LG]Machine learning applications in time series hierarchical forecasting
• [cs.LG]Make Thunderbolts Less Frightening — Predicting Extreme Weather Using Deep Learning
• [cs.LG]Mixing autoencoder with classifier: conceptual data visualization
• [cs.LG]Model Embedded DRL for Intelligent Greenhouse Control
• [cs.LG]Multi-view Subspace Clustering via Partition Fusion
• [cs.LG]Multiscale Self Attentive Convolutions for Vision and Language Modeling
• [cs.LG]Music Style Classification with Compared Methods in XGB and BPNN
• [cs.LG]Neural Network Branching for Neural Network Verification
• [cs.LG]Neural Predictor for Neural Architecture Search
• [cs.LG]Not All Attention Is Needed: Gated Attention Network for Sequence Data
• [cs.LG]On the Delta Method for Uncertainty Approximation in Deep Learning
• [cs.LG]On-policy Reinforcement Learning with Entropy Regularization
• [cs.LG]Online Knowledge Distillation with Diverse Peers
• [cs.LG]Optimal Laplacian regularization for sparse spectral community detection
• [cs.LG]Optimization for Reinforcement Learning: From Single Agent to Cooperative Agents
• [cs.LG]Overcoming Catastrophic Forgetting by Generative Regularization
• [cs.LG]Predicting Soil pH by Using Nearest Fields
• [cs.LG]Preserving Patient Privacy while Training a Predictive Model of In-hospital Mortality
• [cs.LG]Rank Aggregation via Heterogeneous Thurstone Preference Models
• [cs.LG]Recovering from Biased Data: Can Fairness Constraints Improve Accuracy?
• [cs.LG]Risk Bounds for Low Cost Bipartite Ranking
• [cs.LG]Semi-Supervised Learning of Bearing Anomaly Detection via Deep Variational Autoencoders
• [cs.LG]Sparse Graph Attention Networks
• [cs.LG]Stochastic Newton and Cubic Newton Methods with Simple Local Linear-Quadratic Rates
• [cs.LG]Structure Learning with Similarity Preserving
• [cs.LG]TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLP
• [cs.LG]The Comparison of Methods for Individual Treatment Effect Detection
• [cs.LG]The Knowledge Within: Methods for Data-Free Model Compression
• [cs.LG]The intriguing role of module criticality in the generalization of deep networks
• [cs.LG]Towards Understanding the Spectral Bias of Deep Learning
• [cs.LG]Transferability versus Discriminability: Joint Probability Distribution Adaptation (JPDA)
• [cs.LG]Using Dimensionality Reduction to Optimize t-SNE
• [cs.LG]Using Laplacian Spectrum as Graph Feature Representation
• [cs.LG]Value-laden Disciplinary Shifts in Machine Learning
• [cs.LG]XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning
• [cs.LG]scikit-hubness: Hubness Reduction and Approximate Neighbor Search
• [cs.LO]FourierSAT: A Fourier Expansion-Based Algebraic Framework for Solving Hybrid Boolean Constraints
• [cs.MA]MANELA: A Multi-Agent Algorithm for Learning Network Embeddings
• [cs.MM]An Attention-Based Speaker Naming Method for Online Adaptation in Non-Fixed Scenarios
• [cs.MS]PFASST-ER: Combining the Parallel Full Approximation Scheme in Space and Time with parallelization across the method
• [cs.NE]MSTDP: A More Biologically Plausible Learning
• [cs.NE]Optimizing the energy consumption of spiking neural networks for neuromorphic applications
• [cs.NE]Simulation of neural function in an artificial Hebbian network
• [cs.NI]Age of Information in Random Access Channels
• [cs.NI]Contribution to the design and the implementation of a Cloud Radio Access Network
• [cs.NI]Dynamic Energy-Efficient Power Allocation in Multibeam Satellite Systems
• [cs.PF]BenchCouncil’s View on Benchmarking AI and Other Emerging Workloads
• [cs.PL]Proving Data-Poisoning Robustness in Decision Trees
• [cs.RO]A Keyframe-based Continuous Visual SLAM for RGB-D Cameras via Nonparametric Joint Geometric and Appearance Representation
• [cs.RO]AD-EYE: A Co-simulation Platform for Early Verification of Functional Safety Concepts
• [cs.RO]Augmented Reality for Human-Swarm Interaction in a Swarm-Robotic Chemistry Simulation
• [cs.RO]Comparison and Evaluation of 2D and 3D Range Sensors
• [cs.RO]Design, modelling and control of a novel agricultural robot with interlock drive system
• [cs.RO]Embodiment in Socially Interactive Robots
• [cs.RO]Evaluation of Smartphone IMUs for Small Mobile Search and Rescue Robots
• [cs.RO]Forecasting Trajectory and Behavior of Road-Agents Using Spectral Clustering in Graph-LSTMs
• [cs.RO]Human Whole-Body Dynamics Estimation for Enhancing Physical Human-Robot Interaction
• [cs.RO]Internally-Balanced Magnetic Mechanisms Using Magnetic Spring for Producing Large Amplified Clamping Force
• [cs.RO]Online Multi-Target Tracking for Maneuvering Vehicles in Dynamic Road Context
• [cs.RO]Radial-Layer Jamming Mechanism for String Configuration
• [cs.RO]Range-only Collaborative Localization for Ground Vehicles
• [cs.RO]Room Detection for Topological Maps
• [cs.RO]Safe rendering of high impedance on a series-elastic actuator with disturbance observer-based torque control
• [cs.RO]Scene recognition based on DNN and game theory with its applications in human-robot interaction
• [cs.RO]Surface Following using Deep Reinforcement Learning and a GelSightTactile Sensor
• [cs.RO]Transferable Force-Torque Dynamics Model for Peg-in-hole Task
• [cs.RO]Visual-UWB Navigation System for Unknown Environments
• [cs.SD]WaveFlow: A Compact Flow-based Model for Raw Audio
• [cs.SI]Core-Periphery Structure in Directed Networks
• [cs.SI]Discovering Opioid Use Patterns from Social Media for Relapse Prevention
• [cs.SI]Generalizable prediction of academic performance from short texts on social media
• [cs.SI]Generalized Reputation Computation Ontology and Temporal Graph Architecture
• [cs.SI]JNET: Learning User Representations via Joint Network Embedding and Topic Embedding
• [cs.SI]Meta-Path Constrained Random Walk Inference for Large-Scale Heterogeneous Information Networks
• [cs.SI]On Multi-Cascade Influence Maximization: Model, Hardness and Algorithmic Framework
• [cs.SI]Online information of vaccines: information quality is an ethical responsibility of search engines
• [cs.SI]Visualizing structural balance in signed networks
• [econ.EM]Mean-shift least squares model averaging
• [eess.IV]A deep learning based tool for automatic brain extraction from functional magnetic resonance images in rodents
• [eess.IV]Applying Knowledge Transfer for Water Body Segmentation in Peru
• [eess.IV]Degenerative Adversarial NeuroImage Nets for 3D Simulations: Application in Longitudinal MRI
• [eess.IV]Detecting GAN generated errors
• [eess.IV]Detecting mechanical loosening of total hip replacement implant from plain radiograph using deep convolutional neural network
• [eess.IV]Hepatocellular Carcinoma Intra-arterial Treatment Response Prediction for Improved Therapeutic Decision-Making
• [eess.IV]Multi-Channel Volumetric Neural Network for Knee Cartilage Segmentation in Cone-beam CT
• [eess.IV]Noise2Blur: Online Noise Extraction and Denoising
• [eess.IV]Offset Masking Improves Deep Learning based Accelerated MRI Reconstructions
• [eess.IV]Pyramid Convolutional RNN for MRI Reconstruction
• [eess.IV]Robust Invisible Hyperlinks in Physical Photographs Based on 3D Rendering Attacks
• [eess.IV]Stochastic tissue window normalization of deep learning on computed tomography
• [eess.IV]Texture Hallucination for Large-Scale Painting Super-Resolution
• [eess.IV]The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge
• [eess.SP]Internet of Things in Geospatial Analytics
• [eess.SP]Towards blind user’s indoor navigation: a comparative study of beacons and decawave for indoor accurate location
• [math.NA]An asynchronous incomplete block LU preconditioner for computational fluid dynamics on unstructured grids
• [math.OC]Linear Convergence of Frank-Wolfe for Rank-One Matrix Recovery Without Strong Convexity
• [math.PR]Equivalence of the Hazard Rate and Usual Stochastic Orders for Parallel Systems
• [math.ST]A Rigorous Theory of Conditional Mean Embeddings
• [math.ST]A simple proof of the characteristic function of Student’s $t$-distribution
• [math.ST]Algebraic Analysis of Rotation Data
• [math.ST]Anisotropic Functional Deconvolution for the irregular design with dependent long-memory errors
• [math.ST]Copula versions of distance multivariance and dHSIC via the distributional transform — a general approach to construct invariant dependence measures
• [math.ST]Decentralised Sparse Multi-Task Regression
• [math.ST]Efficient adjustment sets for population average treatment effect estimation in non-parametric causal graphical models
• [math.ST]Evidence for goodness of fit in Karl Pearson chi-squared statistics
• [math.ST]Longitudinal Mediation Analysis Using Natural Effect Models
• [math.ST]Non parametric estimation of residual-past entropy, mean residual-past lifetime, residual-past inaccuracy measure and asymptotic limits
• [math.ST]Nonparametric Screening under Conditional Strictly Convex Loss for Ultrahigh Dimensional Sparse Data
• [math.ST]On Distance and Kernel Measures of Conditional Independence
• [math.ST]Optimal Best Markovian Arm Identification with Fixed Confidence
• [math.ST]Statistical inference for fractional diffusion process with random effects at discrete observations
• [physics.comp-ph]Transforming the Lindblad Equation into a System of Linear Equations: Performance Optimization and Parallelization
• [physics.soc-ph]Competing local and global interactions in social dynamics: how important is the friendship network?
• [physics.soc-ph]Quantifying Life Quality as Walkability on Urban Networks: The Case of Budapest
• [physics.space-ph]A gray-box model for a probabilistic estimate of regional ground magnetic perturbations: Enhancing the NOAA operational Geospace model with machine learning
• [q-bio.BM]DeepAtom: A Framework for Protein-Ligand Binding Affinity Prediction
• [q-bio.PE]Drug dissemination strategy with a SEIR-based SUC model
• [q-bio.QM]Joint and individual analysis of breast cancer histologic images and genomic covariates
• [quant-ph]Adjusted Subadditivity of Relative Entropy for Non-commuting Conditional Expectations
• [quant-ph]Optimizing the fundamental limits for quantum and private communication
• [stat.AP]Automated metrics calculation in a dynamic heterogeneous environment
• [stat.AP]Confounding Adjustment Methods for Multi-level Treatment Comparisons Under Lack of Positivity and Unknown Model Specification
• [stat.AP]Crime in Philadelphia: Bayesian Clustering with Particle Optimization
• [stat.AP]Diagnostic checking in FARIMA models with uncorrelated but non-independent error terms
• [stat.AP]Editorial: EVA 2019 data competition on spatio-temporal prediction of Red Sea surface temperature extremes
• [stat.AP]Improving upon NBA point-differential rankings
• [stat.AP]Inferring HIV incidence trends and transmission dynamics with a spatio-temporal HIV epidemic model
• [stat.AP]Multi-temporal abrupt change estimation on Landsat time series imagery: an application to analyze burn severity in La Primavera, Mexico
• [stat.AP]Penalized Matrix Regression for Two-Dimensional Variable Selection
• [stat.AP]Space-Time Landslide Predictive Modelling
• [stat.AP]Survival analysis for AdVerse events with VarYing follow-up times (SAVVY): Rationale and statistical concept of a meta-analytic study
• [stat.AP]The Effect of Real Estate Auction Events on Mortality Rate
• [stat.ME]A novel framework for joint sparse clustering and alignment of functional data
• [stat.ME]Branching epistemic uncertainty and thickness of tails
• [stat.ME]Distribution-Free Pointwise Adjusted P-Values for Functional Hypotheses
• [stat.ME]Efficient Estimation of Mixture Cure Frailty Model for Clustered Current Status Data
• [stat.ME]Inference for Synthetic Control Methods with Multiple Treated Units
• [stat.ME]Nonparametric analysis of nonhomogeneous multi-state processes based on clustered observations
• [stat.ME]SSNdesign — an R package for pseudo-Bayesian optimal and adaptive sampling designs on stream networks
• [stat.ME]Simpson’s Paradox and the implications for medical trials
• [stat.ML]A Fast deflation Method for Sparse Principal Component Analysis via Subspace Projections
• [stat.ML]A Random Matrix Perspective on Mixtures of Nonlinearities for Deep Learning
• [stat.ML]Asymptotic Normality and Variance Estimation For Supervised Ensembles
• [stat.ML]Bayesian Model Selection for Change Point Detection and Clustering
• [stat.ML]Clustering via Ant Colonies: Parameter Analysis and Improvement of the Algorithm
• [stat.ML]Factor Analysis on Citation, Using a Combined Latent and Logistic Regression Model
• [stat.ML]Flow Contrastive Estimation of Energy-Based Models
• [stat.ML]Implicit Priors for Knowledge Sharing in Bayesian Neural Networks
• [stat.ML]Matrix sketching for supervised classification with imbalanced classes
• [stat.ML]Numerical Gaussian process Kalman filtering
• [stat.ML]On the Validity of Bayesian Neural Networks for Uncertainty Estimation
• [stat.ML]On the geometry of Stein variational gradient descent
• [stat.ML]On the optimality of kernels for high-dimensional clustering
• [stat.ML]Sequential Classification with Empirically Observed Statistics
• [stat.ML]Stationary Points of Shallow Neural Networks with Quadratic Activation Function
• [stat.ML]Variable Selection with Rigorous Uncertainty Quantification using Deep Bayesian Neural Networks: Posterior Concentration and Bernstein-von Mises Phenomenon
·····································
• [cs.AI]Abstract Reasoning with Distracting Features
Kecheng Zheng, Zheng-jun Zha, Wei Wei
http://arxiv.org/abs/1912.00569v1
• [cs.AI]BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent Communication)**
Marek Rosa, Olga Afanasjeva, Simon Andersson, Joseph Davidson, Nicholas Guttenberg, Petr Hlubuček, Martin Poliak, Jaroslav Vítku, Jan Feyereisl
http://arxiv.org/abs/1912.01513v1
• [cs.AI]Explainable artificial intelligence model to predict acute critical illness from electronic health records
Simon Meyer Lauritsen, Mads Kristensen, Mathias Vassard Olsen, Morten Skaarup Larsen, Katrine Meyer Lauritsen, Marianne Johansson Jørgensen, Jeppe Lange, Bo Thiesson
http://arxiv.org/abs/1912.01266v1
• [cs.AI]Idle Time Optimization for Target Assignment and Path Finding in Sortation Centers
Ngai Meng Kou, Cheng Peng, Hang Ma, T. K. Satish Kumar, Sven Koenig
http://arxiv.org/abs/1912.00253v1
• [cs.AI]Just Ask:An Interactive Learning Framework for Vision and Language Navigation
Ta-Chung Chi, Mihail Eric, Seokhwan Kim, Minmin Shen, Dilek Hakkani-tur
http://arxiv.org/abs/1912.00915v1
• [cs.AI]Knowledge Infused Learning (K-IL): Towards Deep Incorporation of Knowledge in Deep Learning
Ugur Kursuncu, Manas Gaur, Amit Sheth
http://arxiv.org/abs/1912.00512v1
• [cs.AI]Learning Bayesian networks from demographic and health survey data
Neville Kenneth Kitson, Anthony C. Constantinou
http://arxiv.org/abs/1912.00715v1
• [cs.AI]Learning Driving Decisions by Imitating Drivers’ Control Behaviors
Junning Huang, Sirui Xie, Jiankai Sun, Qiurui Ma, Chunxiao Liu, Jianping Shi, Dahua Lin, Bolei Zhou
http://arxiv.org/abs/1912.00191v1
• [cs.AI]Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning
Hangyu Mao, Wulong Liu, Jianye Hao, Jun Luo, Dong Li, Zhengchao Zhang, Jun Wang, Zhen Xiao
http://arxiv.org/abs/1912.01160v1
• [cs.AI]Optimality and limitations of audio-visual integration for cognitive systems
W. Paul Boyce, Tony Lindsay, Arkady Zgonnikov, Ignacio Rano, KongFatt Wong-Lin
http://arxiv.org/abs/1912.00581v1
• [cs.AI]SafeLife 1.0: Exploring Side Effects in Complex Environments
Carroll L. Wainwright, Peter Eckersley
http://arxiv.org/abs/1912.01217v1
• [cs.AI]Self-Learned Formula Synthesis in Set Theory
Chad E. Brown, Thibault Gauthier
http://arxiv.org/abs/1912.01525v1
• [cs.AI]Towards Successful Collaboration: Design Guidelines for AI-based Services enriching Information Systems in Organisations
Nicholas R. J. Frick, Felix Brünker, Björn Ross, Stefan Stieglitz
http://arxiv.org/abs/1912.01077v1
• [cs.CC]On the relation between structured $d$-DNNFs and SDDs
Beate Bollig, Martin Farenholtz
http://arxiv.org/abs/1912.01430v1
• [cs.CL]A Hybrid Approach Towards Two Stage Bengali Question Classification Utilizing Smart Data Balancing Technique
Md. Hasibur Rahman, Chowdhury Rafeed Rahman, Ruhul Amin, Md. Habibur Rahman Sifat, Afra Anika
http://arxiv.org/abs/1912.00127v1
• [cs.CL]An Annotated Dataset of Coreference in English Literature
David Bamman, Olivia Lewke, Anya Mansoor
http://arxiv.org/abs/1912.01140v1
• [cs.CL]AntNet: Deep Answer Understanding Network for Natural Reverse QA
Lei Yang, Qing Yin, Linlin Hou, Jie Gui, Ou Wu, James Kwok
http://arxiv.org/abs/1912.00398v1
• [cs.CL]Automatic Creation of Text Corpora for Low-Resource Languages from the Internet: The Case of Swiss German
Lucy Linder, Michael Jungo, Jean Hennebert, Claudiu Musat, Andreas Fischer
http://arxiv.org/abs/1912.00159v1
• [cs.CL]BLiMP: A Benchmark of Linguistic Minimal Pairs for English
Alex Warstadt, Alicia Parrish, Haokun Liu, Anhad Mohananey, Wei Peng, Sheng-Fu Wang, Samuel R. Bowman
http://arxiv.org/abs/1912.00582v1
• [cs.CL]Cross-lingual Pre-training Based Transfer for Zero-shot Neural Machine Translation
Baijun Ji, Zhirui Zhang, Xiangyu Duan, Min Zhang, Boxing Chen, Weihua Luo
http://arxiv.org/abs/1912.01214v1
• [cs.CL]Dynamic Prosody Generation for Speech Synthesis using Linguistics-Driven Acoustic Embedding Selection
Shubhi Tyagi, Marco Nicolis, Jonas Rohnke, Thomas Drugman, Jaime Lorenzo-Trueba
http://arxiv.org/abs/1912.00955v1
• [cs.CL]Enriching Existing Conversational Emotion Datasets with Dialogue Acts using Neural Annotators
Chandrakant Bothe, Cornelius Weber, Sven Magg, Stefan Wermter
http://arxiv.org/abs/1912.00819v1
• [cs.CL]Fiction Sentence Expansion and Enhancement via Focused Objective and Novelty Curve Sampling
Yuri Safovich, Amos Azaria
http://arxiv.org/abs/1912.00698v2
• [cs.CL]GANCoder: An Automatic Natural Language-to-Programming Language Translation Approach based on GAN
Yabing Zhu, Yanfeng Zhang, Huili Yang, Fangjing Wang
http://arxiv.org/abs/1912.00609v1
• [cs.CL]HSCJN: A Holistic Semantic Constraint Joint Network for Diverse Response Generation
Yiru Wang, Pengda Si, Zeyang Lei, Guangxu Xun, Yujiu Yang
http://arxiv.org/abs/1912.00380v1
• [cs.CL]Improving Question Generation with Sentence-level Semantic Matching and Answer Position Inferring
Xiyao Ma, Qile Zhu, Yanlin Zhou, Xiaolin Li, Dapeng Wu
http://arxiv.org/abs/1912.00879v1
• [cs.CL]Integrate Image Representation to Text Model on Sentence Level: a Semi-supervised Framework
Lisai Zhang, Qingcai Chen, Dongfang Li, Buzhou Tang
http://arxiv.org/abs/1912.00336v1
• [cs.CL]Integrating Graph Contextualized Knowledge into Pre-trained Language Models
Bin He, Di Zhou, Jinghui Xiao, Xin jiang, Qun Liu, Nicholas Jing Yuan, Tong Xu
http://arxiv.org/abs/1912.00147v2
• [cs.CL]Knowledge-Enriched Visual Storytelling
Chao-Chun Hsu, Zi-Yuan Chen, Chi-Yang Hsu, Chih-Chia Li, Tzu-Yuan Lin, Ting-Hao ‘Kenneth’ Huang, Lun-Wei Ku
http://arxiv.org/abs/1912.01496v1
• [cs.CL]Language Model Bootstrapping Using Neural Machine Translation For Conversational Speech Recognition
Surabhi Punjabi, Harish Arsikere, Sri Garimella
http://arxiv.org/abs/1912.00958v1
• [cs.CL]Large-scale text processing pipeline with Apache Spark
Alexey Svyatkovskiy, Kosuke Imai, Mary Kroeger, Yuki Shiraito
http://arxiv.org/abs/1912.00547v1
• [cs.CL]Learning Word Ratings for Empathy and Distress from Document-Level User Responses
João Sedoc, Sven Buechel, Yehonathan Nachmany, Anneke Buffone, Lyle Ungar
http://arxiv.org/abs/1912.01079v1
• [cs.CL]Leveraging Contextual Embeddings for Detecting Diachronic Semantic Shift
Matej Martinc, Petra Kralj Novak, Senja Pollak
http://arxiv.org/abs/1912.01072v1
• [cs.CL]Machines Getting with the Program: Understanding Intent Arguments of Non-Canonical Directives
Won Ik Cho, Young Ki Moon, Sangwhan Moon, Seok Min Kim, Nam Soo Kim
http://arxiv.org/abs/1912.00342v1
• [cs.CL]Merging External Bilingual Pairs into Neural Machine Translation
Tao Wang, Shaohui Kuang, Deyi Xiong, António Branco
http://arxiv.org/abs/1912.00567v1
• [cs.CL]Modeling Fluency and Faithfulness for Diverse Neural Machine Translation
Yang Feng, Wanying Xie, Shuhao Gu, Chenze Shao, Wen Zhang, Zhengxin Yang, Dong Yu
http://arxiv.org/abs/1912.00178v1
• [cs.CL]Modeling German Verb Argument Structures: LSTMs vs. Humans
Charlotte Rochereau, Benoît Sagot, Emmanuel Dupoux
http://arxiv.org/abs/1912.00239v1
• [cs.CL]Modelling Semantic Categories using Conceptual Neighborhood
Zied Bouraoui, Jose Camacho-Collados, Luis Espinosa-Anke, Steven Schockaert
http://arxiv.org/abs/1912.01220v1
• [cs.CL]Morphological Tagging and Lemmatization of Albanian: A Manually Annotated Corpus and Neural Models
Nelda Kote, Marenglen Biba, Jenna Kanerva, Samuel Rönnqvist, Filip Ginter
http://arxiv.org/abs/1912.00991v1
• [cs.CL]Multi-Scale Self-Attention for Text Classification
Qipeng Guo, Xipeng Qiu, Pengfei Liu, Xiangyang Xue, Zheng Zhang
http://arxiv.org/abs/1912.00544v1
• [cs.CL]Reading the Manual: Event Extraction as Definition Comprehension
Yunmo Chen, Tongfei Chen, Seth Ebner, Benjamin Van Durme
http://arxiv.org/abs/1912.01586v1
• [cs.CL]See and Read: Detecting Depression Symptoms in Higher Education Students Using Multimodal Social Media Data
Paulo Mann, Aline Paes, Elton H. Matsushima
http://arxiv.org/abs/1912.01131v1
• [cs.CL]SemEval-2017 Task 3: Community Question Answering
Preslav Nakov, Doris Hoogeveen, Lluís Màrquez, Alessandro Moschitti, Hamdy Mubarak, Timothy Baldwin, Karin Verspoor
http://arxiv.org/abs/1912.00730v1
• [cs.CL]SemEval-2017 Task 4: Sentiment Analysis in Twitter
Sara Rosenthal, Noura Farra, Preslav Nakov
http://arxiv.org/abs/1912.00741v1
• [cs.CL]Simultaneously Linking Entities and Extracting Relations from Biomedical Text Without Mention-level Supervision
Trapit Bansal, Pat Verga, Neha Choudhary, Andrew McCallum
http://arxiv.org/abs/1912.01070v1
• [cs.CL]Solving Arithmetic Word Problems Automatically Using Transformer and Unambiguous Representations
Kaden Griffith, Jugal Kalita
http://arxiv.org/abs/1912.00871v1
• [cs.CL]Speeding up Word Mover’s Distance and its variants via properties of distances between embeddings
Matheus Werner, Eduardo Laber
http://arxiv.org/abs/1912.00509v1
• [cs.CL]Tag Recommendation by Word-Level Tag Sequence Modeling
Xuewen Shi, Heyan Huang, Shuyang Zhao, Ping Jian, Yi-Kun Tang
http://arxiv.org/abs/1912.00113v1
• [cs.CL]Topic-aware chatbot using Recurrent Neural Networks and Nonnegative Matrix Factorization
Yuchen Guo, Nicholas Haonian, Zhexiao Lin, Nicholas Liskij, Hanbaek Lyu, Deanna Needell, Jiahao Qu, Henry Sojico, Yuliang Wang, Zhe Xiong, Zhenhong Zou
http://arxiv.org/abs/1912.00315v1
• [cs.CL]TutorialVQA: Question Answering Dataset for Tutorial Videos
Anthony Colas, Seokhwan Kim, Franck Dernoncourt, Siddhesh Gupte, Daisy Zhe Wang, Doo Soon Kim
http://arxiv.org/abs/1912.01046v1
• [cs.CL]Unsupervised Inflection Generation Using Neural Language Modeling
Octavia-Maria Sulea, Steve Young
http://arxiv.org/abs/1912.01156v1
• [cs.CL]ZuCo 2.0: A Dataset of Physiological Recordings During Natural Reading and Annotation
Nora Hollenstein, Marius Troendle, Ce Zhang, Nicolas Langer
http://arxiv.org/abs/1912.00903v1
• [cs.CR]End-to-End Deep Neural Networks and Transfer Learning for Automatic Analysis of Nation-State Malware
Ishai Rosenberg, Guillaume Sicard, Eli David
http://arxiv.org/abs/1912.01493v1
• [cs.CR]GDPArrrrr: Using Privacy Laws to Steal Identities
James Pavur, Casey Knerr
http://arxiv.org/abs/1912.00731v1
• [cs.CR]RESCUE: Interdependent Challenges of Reliability, Security and Quality in Nanoelectronic Systems
Maksim Jenihhin, Said Hamdioui, Matteo Sonza Reorda, Milos Krstic, Peter Langendoerfer, Christian Sauer, Anton Klotz, Michael Huebner, Joerg Nolte, Heinrich Theodor Vierhaus, Georgios Selimis, Dan Alexandrescu, Mottaqiallah Taouil, Geert-Jan Schrijen, Jaan Raik, Luca Sterpone, Giovanni Squillero, Zoya Dyka
http://arxiv.org/abs/1912.01561v1
• [cs.CR]Towards Efficient Integration of Blockchain for IoT Security: The Case Study of IoT Remote Access
Chenglong Fu, Qiang Zeng, Xiaojiang Du
http://arxiv.org/abs/1912.00264v1
• [cs.CV]A Context-Aware Loss Function for Action Spotting in Soccer Videos
Anthony Cioppa, Adrien Deliège, Silvio Giancola, Bernard Ghanem, Marc Van Droogenbroeck, Rikke Gade, Thomas B. Moeslund
http://arxiv.org/abs/1912.01326v1
• [cs.CV]A Deep Convolutional Network for Seismic Shot-Gather Image Quality Classification
Eduardo Betine Bucker, Antonio José Grandson Busson, Ruy Luiz Milidiú, Sérgio Colcher, Bruno Pereira Dias, André Bulcão
http://arxiv.org/abs/1912.01148v1
• [cs.CV]A Free Lunch in Generating Datasets: Building a VQG and VQA System with Attention and Humans in the Loop
Jihyeon Janel Lee, Sho Arora
http://arxiv.org/abs/1912.00124v1
• [cs.CV]A Multigrid Method for Efficiently Training Video Models
Chao-Yuan Wu, Ross Girshick, Kaiming He, Christoph Feichtenhofer, Philipp Krähenbühl
http://arxiv.org/abs/1912.00998v1
• [cs.CV]A Programmatic and Semantic Approach to Explaining and DebuggingNeural Network Based Object Detectors
Edward Kim, Divya Gopinath, Corina Pasareanu, Sanjit Seshia
http://arxiv.org/abs/1912.00289v1
• [cs.CV]A Robust Iris Authentication System on GPU-Based Edge Devices using Multi-Modalities Learning Model
Siming Zheng, Rahmita Wirza O. K. Rahmat, Fatimah Khalid, Nurul Amelina Nasharuddin
http://arxiv.org/abs/1912.00756v1
• [cs.CV]ATIS + SpiNNaker: a Fully Event-based Visual Tracking Demonstration
Arren Glover, Alan B. Stokes, Steve Furber, Chiara Bartolozzi
http://arxiv.org/abs/1912.01320v1
• [cs.CV]AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds
Abdullah Hamdi, Sara Rojas, Ali Thabet, Bernard Ghanem
http://arxiv.org/abs/1912.00461v1
• [cs.CV]Affect-based Intrinsic Rewards for Learning General Representations
Dean Zadok, Daniel McDuff, Ashish Kapoor
http://arxiv.org/abs/1912.00403v1
• [cs.CV]Alignment Free and Distortion Robust Iris Recognition
Min Ren, Caiyong Wang, Yunlong Wang, Zhenan Sun, Tieniu Tan
http://arxiv.org/abs/1912.00382v1
• [cs.CV]Assessing the Robustness of Visual Question Answering
Jia-Hong Huang, Modar Alfadly, Bernard Ghanem, Marcel Worring
http://arxiv.org/abs/1912.01452v1
• [cs.CV]Asymmetric Co-Teaching for Unsupervised Cross Domain Person Re-Identification
Fengxiang Yang, Ke Li, Zhun Zhong, Zhiming Luo, Xing Sun, Hao Cheng, Xiaowei Guo, Feiyue Huang, Rongrong Ji, Shaozi Li
http://arxiv.org/abs/1912.01349v1
• [cs.CV]Automatic Video Object Segmentation via Motion-Appearance-Stream Fusion and Instance-aware Segmentation
Sungkwon Choo, Wonkyo Seo, Nam Ik Cho
http://arxiv.org/abs/1912.01373v1
• [cs.CV]BERT for Large-scale Video Segment Classification with Test-time Augmentation
Tianqi Liu, Qizhan Shao
http://arxiv.org/abs/1912.01127v1
• [cs.CV]Convolutional STN for Weakly Supervised Object Localization and Beyond
Akhil Meethal, Marco Pedersoli, Soufiane Belharbi, Eric Granger
http://arxiv.org/abs/1912.01522v1
• [cs.CV]Cyclic Functional Mapping: Self-supervised correspondence between non-isometric deformable shapes
Dvir Ginzburg, Dan Raviv
http://arxiv.org/abs/1912.01249v1
• [cs.CV]DAL — A Deep Depth-aware Long-term Tracker
Yanlin Qian, Alan Lukežič, Matej Kristan, Joni-Kristian Kämäräinen, Jiri Matas
http://arxiv.org/abs/1912.00660v1
• [cs.CV]DEGAS: Differentiable Efficient Generator Search
Sivan Doveh, Raja Giryes
http://arxiv.org/abs/1912.00606v1
• [cs.CV]Deep Bayesian Active Learning for Multiple Correct Outputs
Khaled Jedoui, Ranjay Krishna, Michael Bernstein, Li Fei-Fei
http://arxiv.org/abs/1912.01119v1
• [cs.CV]Deep Learning for Visual Tracking: A Comprehensive Survey
Seyed Mojtaba Marvasti-Zadeh, Li Cheng, Hossein Ghanei-Yakhdan, Shohreh Kasaei
http://arxiv.org/abs/1912.00535v1
• [cs.CV]DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer
http://arxiv.org/abs/1912.00439v1
• [cs.CV]Detecting Finger-Vein Presentation Attacks Using 3D Shape & Diffuse Reflectance Decomposition
Jag Mohan Singh, Sushma Venkatesh, Kiran B. Raja, Raghavendra Ramachandra, Christoph Busch
http://arxiv.org/abs/1912.01408v1
• [cs.CV]Diversifying Inference Path Selection: Moving-Mobile-Network for Landmark Recognition
Biao Qian, Yang Wang, Zhao Zhang, Richang Hong, Meng Wang, Ling Shao
http://arxiv.org/abs/1912.00418v1
• [cs.CV]Dynamic Graph Representation for Partially Occluded Biometrics
Min Ren, Yunlong Wang, Zhenan Sun, Tieniu Tan
http://arxiv.org/abs/1912.00377v1
• [cs.CV]EDAS: Efficient and Differentiable Architecture Search
Hyeong Gwon Hong, Pyunghwan Ahn, Junmo Kim
http://arxiv.org/abs/1912.01237v1
• [cs.CV]Efficient Convolutional Neural Networks for Depth-Based Multi-Person Pose Estimation
Angel Martínez-González, Michael Villamizar, Olivier Canévet, Jean-Marc Odobez
http://arxiv.org/abs/1912.00711v1
• [cs.CV]End to End Trainable Active Contours via Differentiable Rendering
Shir Gur, Tal Shaharabany, Lior Wolf
http://arxiv.org/abs/1912.00367v1
• [cs.CV]EventGAN: Leveraging Large Scale Image Datasets for Event Cameras
Alex Zihao Zhu, Ziyun Wang, Kaung Khant, Kostas Daniilidis
http://arxiv.org/abs/1912.01584v1
• [cs.CV]Exploiting Motion Information from Unlabeled Videos for Static Image Action Recognition
Yiyi Zhang, Li Niu, Ziqi Pan, Meichao Luo, Jianfu Zhang, Dawei Cheng, Liqing Zhang
http://arxiv.org/abs/1912.00308v1
• [cs.CV]Exposing and Correcting the Gender Bias in Image Captioning Datasets and Models
Shruti Bhargava, David Forsyth
http://arxiv.org/abs/1912.00578v1
• [cs.CV]Face Detection with Feature Pyramids and Landmarks
Samuel W. F. Earp, Pavit Noinongyao, Justin A. Cairns, Ankush Ganguly
http://arxiv.org/abs/1912.00596v1
• [cs.CV]FlowNet3D++: Geometric Losses For Deep Scene Flow Estimation
Zirui Wang, Shuda Li, Henry Howard-Jenkins, Victor Adrian Prisacariu, Min Chen
http://arxiv.org/abs/1912.01438v1
• [cs.CV]GGNN: Graph-based GPU Nearest Neighbor Search
Fabian Groh, Lukas Ruppert, Patrick Wieschollek, Hendrik P. A. Lensch
http://arxiv.org/abs/1912.01059v1
• [cs.CV]Gate-Shift Networks for Video Action Recognition
Swathikiran Sudhakaran, Sergio Escalera, Oswald Lanz
http://arxiv.org/abs/1912.00381v1
• [cs.CV]Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification
Seokeon Choi, Sumin Lee, Youngeun Kim, Taekyung Kim, Changick Kim
http://arxiv.org/abs/1912.01230v1
• [cs.CV]IENet: Interacting Embranchment One Stage Anchor Free Detector for Orientation Aerial Object Detection
Youtian Lin, Pengming Feng, Jian Guan
http://arxiv.org/abs/1912.00969v1
• [cs.CV]IPG-Net: Image Pyramid Guidance Network for Object Detection
Ziming Liu, Guangyu Gao, Lin Sun
http://arxiv.org/abs/1912.00632v1
• [cs.CV]Image Based Identification of Ghanaian Timbers Using the XyloTron: Opportunities, Risks and Challenges
Prabu Ravindran, Emmanuel Ebanyenle, Alberta Asi Ebeheakey, Kofi Bonsu Abban, Ophilious Lambog, Richard Soares, Adriana Costa, Alex C. Wiedenhoeft
http://arxiv.org/abs/1912.00296v1
• [cs.CV]Improving Model Drift for Robust Object Tracking
Qiujie Dong, Xuedong He, Haiyan Ge, Qin Liu, Aifu Han, Shengzong Zhou
http://arxiv.org/abs/1912.00826v1
• [cs.CV]Information bottleneck through variational glasses
Slava Voloshynovskiy, Mouad Kondah, Shideh Rezaeifar, Olga Taran, Taras Holotyak, Danilo Jimenez Rezende
http://arxiv.org/abs/1912.00830v1
• [cs.CV]Interpreting Context of Images using Scene Graphs
Himangi Mittal, Ajith Abraham, Anuja Arora
http://arxiv.org/abs/1912.00501v1
• [cs.CV]Joint Graph-based Depth Refinement and Normal Estimation
Mattia Rossi, Mireille El Gheche, Andreas Kuhn, Pascal Frossard
http://arxiv.org/abs/1912.01306v1
• [cs.CV]Just Go with the Flow: Self-Supervised Scene Flow Estimation
Himangi Mittal, Brian Okorn, David Held
http://arxiv.org/abs/1912.00497v1
• [cs.CV]LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation
Keunhong Park, Arsalan Mousavian, Yu Xiang, Dieter Fox
http://arxiv.org/abs/1912.00416v1
• [cs.CV]Learning to Relate from Captions and Bounding Boxes
Sarthak Garg, Joel Ruben Antony Moniz, Anshu Aviral, Priyatham Bollimpalli
http://arxiv.org/abs/1912.00311v1
• [cs.CV]Learning to Super Resolve Intensity Images from Events
S. Mohammad Mostafavi I., Jonghyun Choi, Kuk-Jin Yoon
http://arxiv.org/abs/1912.01196v1
• [cs.CV]LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition
Zuxuan Wu, Caiming Xiong, Yu-Gang Jiang, Larry S. Davis
http://arxiv.org/abs/1912.01601v1
• [cs.CV]MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot Classification
Sivan Doveh, Eli Schwartz, Chao Xue, Rogerio Feris, Alex Bronstein, Raja Giryes, Leonid Karlinsky
http://arxiv.org/abs/1912.00412v2
• [cs.CV]Mixture Dense Regression for Object Detection and Human Pose Estimation
Ali Varamesh, Tinne Tuytelaars
http://arxiv.org/abs/1912.00821v1
• [cs.CV]MnasFPN: Learning Latency-aware Pyramid Architecture for Object Detection on Mobile Devices
Bo Chen, Golnaz Ghiasi, Hanxiao Liu, Tsung-Yi Lin, Dmitry Kalenichenko, Hartwig Adams, Quoc V. Le
http://arxiv.org/abs/1912.01106v1
• [cs.CV]More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation
Quanfu Fan, Chun-Fu Chen, Hilde Kuehne, Marco Pistoia, David Cox
http://arxiv.org/abs/1912.00869v1
• [cs.CV]Morphing and Sampling Network for Dense Point Cloud Completion
Minghua Liu, Lu Sheng, Sheng Yang, Jing Shao, Shi-Min Hu
http://arxiv.org/abs/1912.00280v1
• [cs.CV]Multi-Criterion Evolutionary Design of Deep Convolutional Neural Networks
Zhichao Lu, Ian Whalen, Yashesh Dhebar, Kalyanmoy Deb, Erik Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti
http://arxiv.org/abs/1912.01369v1
• [cs.CV]Multi-resolution Graph Neural Network for Identifying Disease-specific Variations in Brain Connectivity
Xin Ma, Guorong Wu, Won Hwa Kim
http://arxiv.org/abs/1912.01181v1
• [cs.CV]Patchy Image Structure Classification Using Multi-Orientation Region Transform
Xiaohan Yu, Yang Zhao, Yongsheng Gao, Shengwu Xiong, Xiaohui Yuan
http://arxiv.org/abs/1912.00622v1
• [cs.CV]Pruning at a Glance: Global Neural Pruning for Model Compression
Abdullah Salama, Oleksiy Ostapenko, Tassilo Klein, Moin Nabi
http://arxiv.org/abs/1912.00200v2
• [cs.CV]QUEST: Quantized embedding space for transferring knowledge
Himalaya Jain, Spyros Gidaris, Nikos Komodakis, Patrick Pérez, Matthieu Cord
http://arxiv.org/abs/1912.01540v1
• [cs.CV]RGPNet: A Real-Time General Purpose Semantic Segmentation
Elahe Arani, Shabbir Marzban, Andrei Pata, Bahram Zonooz
http://arxiv.org/abs/1912.01394v1
• [cs.CV]RSA: Randomized Simulation as Augmentation for Robust Human Action Recognition
Yi Zhang, Xinyue Wei, Weichao Qiu, Zihao Xiao, Gregory D. Hager, Alan Yuille
http://arxiv.org/abs/1912.01180v1
• [cs.CV]RST-MODNet: Real-time Spatio-temporal Moving Object Detection for Autonomous Driving
Mohamed Ramzy, Hazem Rashed, Ahmad El Sallab, Senthil Yogamani
http://arxiv.org/abs/1912.00438v1
• [cs.CV]Real-Time Panoptic Segmentation from Dense Detections
Rui Hou, Jie Li, Arjun Bhargava, Allan Raventos, Vitor Guizilini, Chao Fang, Jerome Lynch, Adrien Gaidon
http://arxiv.org/abs/1912.01202v1
• [cs.CV]Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task
Aritra Bhowmik, Stefan Gumhold, Carsten Rother, Eric Brachmann
http://arxiv.org/abs/1912.00623v1
• [cs.CV]Robust Morph-Detection at Automated Border Control Gate using Deep Decomposed 3D Shape and Diffuse Reflectance
Jag Mohan Singh, Raghavendra Ramachandra, Kiran B. Raja, Christoph Busch
http://arxiv.org/abs/1912.01372v1
• [cs.CV]SAIS: Single-stage Anchor-free Instance Segmentation
Canqun Xiang, Shishun Tian, Wenbin Zou, Chen Xu
http://arxiv.org/abs/1912.01176v1
• [cs.CV]SPSTracker: Sub-Peak Suppression of Response Map for Robust Object Tracking
Qintao Hu, Lijun Zhou, Xiaoxiao Wang, Yao Mao, Jianlin Zhang, Qixiang Ye
http://arxiv.org/abs/1912.00597v1
• [cs.CV]Skeleton based Activity Recognition by Fusing Part-wise Spatio-temporal and Attention Driven Residues
Chhavi Dhiman, Dinesh Kumar Vishwakarma, Paras Aggarwal
http://arxiv.org/abs/1912.00576v1
• [cs.CV]Supervised and Unsupervised End-to-End Deep Learning for Gene Ontology Classification of Neural In Situ Hybridization Images
Ido Cohen, Eli David, Nathan S. Netanyahu
http://arxiv.org/abs/1912.01494v1
• [cs.CV]The Analysis of Projective Transformation Algorithms for Image Recognition on Mobile Devices
Anton Trusov, Elena Limonova
http://arxiv.org/abs/1912.01401v1
• [cs.CV]The Group Loss for Deep Metric Learning
Ismail Elezi, Sebastiano Vascon, Alessandro Torcinovich, Marcello Pelillo, Laura Leal-Taixe
http://arxiv.org/abs/1912.00385v1
• [cs.CV]Training Object Detectors from Few Weakly-Labeled and Many Unlabeled Images
Zhaohui Yang, Miaojing Shi, Yannis Avrithis, Chao Xu, Vittorio Ferrari
http://arxiv.org/abs/1912.00384v1
• [cs.CV]Training the Convolutional Neural Network with Statistical Dependence of the Response on the Input Data Distortion
Igor Janiszewski, Dmitry Slugin, Vladimir V. Arlazarov
http://arxiv.org/abs/1912.00664v1
• [cs.CV]Urban Driving with Conditional Imitation Learning
Jeffrey Hawke, Richard Shen, Corina Gurau, Siddharth Sharma, Daniele Reda, Nikolay Nikolov, Przemyslaw Mazur, Sean Micklethwaite, Nicolas Griffiths, Amar Shah, Alex Kendall
http://arxiv.org/abs/1912.00177v1
• [cs.CV]View-Invariant Probabilistic Embedding for Human Pose
Jennifer J. Sun, Jiaping Zhao, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Ting Liu
http://arxiv.org/abs/1912.01001v1
• [cs.CV]Viewpoint-Aware Loss with Angular Regularization for Person Re-Identification
Zhihui Zhu, Xinyang Jiang, Feng Zheng, Xiaowei Guo, Feiyue Huang, Weishi Zheng, Xing Sun
http://arxiv.org/abs/1912.01300v1
• [cs.CY]A city-scale IoT-enabled ridesharing platform
Claudio Gambella, Julien Monteil, Anton Dekusar, Sergio Cabrero Barros, Andrea Simonetto, Yassine Lassoued
http://arxiv.org/abs/1912.00648v1
• [cs.CY]EduBERT: Pretrained Deep Language Models for Learning Analytics
Benjamin Clavié, Kobi Gal
http://arxiv.org/abs/1912.00690v1
• [cs.CY]Facilitating on-line opinion dynamics by mining expressions of causation. The case of climate change debates on The Guardian
Tom Willaert, Sven Banisch, Paul Van Eecke, Katrien Beuls
http://arxiv.org/abs/1912.01252v1
• [cs.CY]Introduction to Computational Thinking: a new high school curriculum using CodeWorld
Fernando Alegre, John Underwoood, Juana Moreno, Mario Alegre
http://arxiv.org/abs/1912.00237v1
• [cs.DB]Lambada: Interactive Data Analytics on Cold Data using Serverless Cloud Infrastructure
Ingo Müller, Renato Marroquín, Gustavo Alonso
http://arxiv.org/abs/1912.00937v1
• [cs.DB]Ontologies for the Virtual Materials Marketplace
Martin Thomas Horsch, Silvia Chiacchiera, Michael A. Seaton, Ilian T. Todorov, Karel Šindelka, Martin Lísal, Barbara Andreon, Esteban Bayro Kaiser, Gabriele Mogni, Gerhard Goldbeck, Ralf Kunze, Georg Summer, Andreas Fiseni, Hauke Brüning, Peter Schiffels, Welchy Leite Cavalcanti
http://arxiv.org/abs/1912.01519v1
• [cs.DC]A Hybrid Graph Coloring Algorithm for GPUs
Shanthanu S Rai, Rohit M P, Sreepathi Pai
http://arxiv.org/abs/1912.01478v1
• [cs.DC]A Novel FPGA-Based High Throughput Accelerator For Binary Search Trees
Oyku Melikoglu, Oguz Ergin, Behzad Salami, Julian Pavon, Osman Unsal, Adrian Cristal
http://arxiv.org/abs/1912.01556v1
• [cs.DC]Achieving Determinism in Adaptive AUTOSAR
Christian Menard, Andres Goens, Marten Lohstroh, Jeronimo Castrillon
http://arxiv.org/abs/1912.01367v1
• [cs.DC]BlockLot: Blockchain based Verifiable Lottery
Yongrae Jo, Chanik Park
http://arxiv.org/abs/1912.00642v1
• [cs.DC]Drndalo: Lightweight Control Flow Obfuscation Through Minimal Processor/Compiler Co-Design
Novak Boskov, Mihailo Isakov, Michel A. Kinsy
http://arxiv.org/abs/1912.01560v1
• [cs.DC]Evaluating Reliability of SSD-Based I/O Caches in Enterprise Storage Systems
Saba Ahmadian, Farhad Taheri, Hossein Asadi
http://arxiv.org/abs/1912.01555v1
• [cs.DC]Federated Learning with Autotuned Communication-Efficient Secure Aggregation
Keith Bonawitz, Fariborz Salehi, Jakub Konečný, Brendan McMahan, Marco Gruteser
http://arxiv.org/abs/1912.00131v1
• [cs.DC]GPU Algorithm for Earliest Arrival Time Problem in Public Transport Networks
Chirayu Anant Haryan, G. Ramakrishna, Rupesh Nasre, Allam Dinesh Reddy
http://arxiv.org/abs/1912.00966v1
• [cs.DC]GPU Support for Automatic Generation of Finite-Differences Stencil Kernels
Vitor Hugo Mickus Rodrigues, Lucas Cavalcante, Maelso Bruno Pereira, Fabio Luporini, István Reguly, Gerard Gorman, Samuel Xavier de Souza
http://arxiv.org/abs/1912.00695v1
• [cs.DC]LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing
B. Salami, K. Parasyris, A. Cristal, O. Unsal, X. Martorell, P. Carpenter, R. De La Cruz, L. Bautista, D. Jimenez, C. Alvarez, S. Nabavi, S. Madonar, M. Pericas, P. Trancoso, M. Abduljabbar, J. Chen, P. N. Soomro, M Manivannan, M. Berge, S. Krupop, F. Klawonn, Al Mekhlafi, S. May, T. Becker, G. Gaydadjiev, D. Odman, H. Salomonsson, D. Dubhashi, O. Port, Y. Etsion, Le Quoc Do, Christof Fetzer, M. Kaiser, N. Kucza, J. Hagemeyer, R. Griessl, L. Tigges, K. Mika, A. Huffmeier, Th. Jungeblu, M. Pasin, V. Schiavoni, I. Rocha, C. Gottel, P. Felber
http://arxiv.org/abs/1912.01563v1
• [cs.DC]MORPHOSYS: Efficient Colocation of QoS-Constrained Workloads in the Cloud
Vatche Ishakian, Azer Bestavros, Assaf Kfoury
http://arxiv.org/abs/1912.00549v1
• [cs.DC]Mathematical Analysis and Algorithms for Federated Byzantine Agreement Systems
André Gaul, Ismail Khoffi, Jörg Liesen, Torsten Stüber
http://arxiv.org/abs/1912.01365v1
• [cs.DC]Prolonging Network Lifetime in Wireless Sensor Networks with Path-Constrained Mobile Sink
Basilis Mamalis
http://arxiv.org/abs/1912.01146v1
• [cs.DC]Recent Developments in Iterative Methods for Reducing Synchronization
Qinmeng Zou, Frederic Magoules
http://arxiv.org/abs/1912.00816v1
• [cs.DC]Value-driven Manufacturing Planning using Cloud-based Evolutionary Optimisation
Shuai Zhao, Piotr Dziurzanski, Leandro Soares Indrusiak
http://arxiv.org/abs/1912.01562v1
• [cs.DL]The future of urban models in the Big Data and AI era: a bibliometric analysis (2000-2019)
Marion Maisonobe
http://arxiv.org/abs/1912.00532v1
• [cs.DS]Scalable Graph Algorithms
Christian Schulz
http://arxiv.org/abs/1912.00245v1
• [cs.ET]Road traffic reservoir computing
Hiroyasu Ando, Hanten Chang
http://arxiv.org/abs/1912.00554v1
• [cs.FL]Classifying Pattern and Feature Properties to Get a $Θ(n)$ Checker and Reformulation for Sliding Time-Series Constraints
Nicolas Beldiceanu, Mats Carlsson, Claude-Guy Quimper, Maria-Isabel Restrepo-Ruiz
http://arxiv.org/abs/1912.01532v1
• [cs.GR]A Bayesian Inference Framework for Procedural Material Parameter Estimation
Yu Guo, Milos Hasan, Lingqi Yan, Shuang Zhao
http://arxiv.org/abs/1912.01067v1
• [cs.GT]Experimental Evidence for Asymptotic Non-Optimality of Comb Adversary Strategy
Zachary Chase
http://arxiv.org/abs/1912.01548v1
• [cs.HC]Addict Free — A Smart and Connected Relapse Intervention Mobile App
Zhou Yang, Vinay Jayachandra Reddy, Rashmi Kesidi, Fang Jin
http://arxiv.org/abs/1912.01130v1
• [cs.HC]Heterogeneous Label Space Transfer Learning for Brain-Computer Interfaces: A Label Alignment Approach
He He, Dongrui Wu
http://arxiv.org/abs/1912.01166v1
• [cs.HC]KRM-based Dialogue Management
Wenwu Qu, Xiaoyu Chi, Wei Zheng
http://arxiv.org/abs/1912.00669v1
• [cs.HC]Talking with Robots: Opportunities and Challenges
Roger K. Moore
http://arxiv.org/abs/1912.00369v1
• [cs.HC]Writing Across the World’s Languages: Deep Internationalization for Gboard, the Google Keyboard
Daan van Esch, Elnaz Sarbar, Tamar Lucassen, Jeremy O’Brien, Theresa Breiner, Manasa Prasad, Evan Crew, Chieu Nguyen, Françoise Beaufays
http://arxiv.org/abs/1912.01218v1
• [cs.IR]A Fast Matrix-Completion-Based Approach for Recommendation Systems
Meng Qiao, Zheng Shan, Fudong Liu, Wenjie Sun
http://arxiv.org/abs/1912.00600v1
• [cs.IR]A Human-AI Loop Approach for Joint Keyword Discovery and Expectation Estimation in Micropost Event Detection
Akansha Bhardwaj, Jie Yang, Philippe Cudré-Mauroux
http://arxiv.org/abs/1912.00667v1
• [cs.IR]An Investigation of Biases in Web Search Engine Query Suggestions
Malte Bonart, Anastasiia Samokhina, Gernot Heisenberg, Philipp Schaer
http://arxiv.org/abs/1912.00651v1
• [cs.IR]Latent Semantic Search and Information Extraction Architecture
Anton Kolonin
http://arxiv.org/abs/1912.00180v1
• [cs.IR]Learning a faceted customer segmentation for discovering new business opportunities at Intel
Itay Lieder, Meirav Segal, Eran Avidan, Asaf Cohen, Tom Hope
http://arxiv.org/abs/1912.00778v1
• [cs.IR]Semantic Enrichment of Streaming Healthcare Data
Daniel Cotter, V. K. Cody Bumgardner
http://arxiv.org/abs/1912.00423v1
• [cs.IR]TU Wien @ TREC Deep Learning ‘19 — Simple Contextualization for Re-ranking
Sebastian Hofstätter, Markus Zlabinger, Allan Hanbury
http://arxiv.org/abs/1912.01385v1
• [cs.IR]Towards an Integrative Educational Recommender for Lifelong Learners
Sahan Bulathwela, Maria Perez-Ortiz, Emine Yilmaz, John Shawe-Taylor
http://arxiv.org/abs/1912.01592v1
• [cs.IT]AI-Assisted Low Information Latency Wireless Networking
Zhiyuan Jiang, Siyu Fu, Sheng Zhou, Zhisheng Niu, Shunqing Zhang, Shugong Xu
http://arxiv.org/abs/1912.01319v1
• [cs.IT]An Introduction to Communication Efficient Edge Machine Learning
Qiao Lan, Zezhong Zhang, Yuqing Du, Zhenyi Lin, Kaibin Huang
http://arxiv.org/abs/1912.01554v1
• [cs.IT]Capacity-Approaching Polar Codes with Long Codewords and Successive Cancellation Decoding Based on Improved Gaussian Approximation
Hideki Ochiai, Patrick Mitran, H. Vincent Poor
http://arxiv.org/abs/1912.00098v1
• [cs.IT]Constructions of (2, 1, 2) complete j-MDP convolutional codes
Paulo J. Almeida, Julia Lieb
http://arxiv.org/abs/1912.00184v1
• [cs.IT]Deep-Learning-Aided Successive-Cancellation Decoding of Polar Codes
Seyyed Ali Hashemi, Nghia Doan, Thibaud Tonnellier, Warren J. Gross
http://arxiv.org/abs/1912.01086v1
• [cs.IT]Energy Efficiency Optimization: A New Trade-off Between Fairness and Total System Performance
Christos N. Efrem, Athanasios D. Panagopoulos
http://arxiv.org/abs/1912.00220v1
• [cs.IT]Generalization Error Bounds Via Rényi-, $f$-Divergences and Maximal Leakage
Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa
http://arxiv.org/abs/1912.01439v1
• [cs.IT]Grant-Free Massive Random Access With a Massive MIMO Receiver
Alexander Fengler, Saeid Haghighatshoar, Peter Jung, Giuseppe Caire
http://arxiv.org/abs/1912.01459v1
• [cs.IT]IRS-Enhanced OFDMA: Joint Resource Allocation and Passive Beamforming Optimization
Yifei Yang, Shuowen Zhang, Rui Zhang
http://arxiv.org/abs/1912.01228v1
• [cs.IT]Improved S-AF and S-DF Relaying Schemes using Machine Learning based Power Allocation over Cascaded Rayleigh Fading Channels
Yahia Alghorani, Member, IEEE, Ahmad Chekkouri, Member, IEEE, Djabir Chekired, Student Member, IEEE, Sami Muhaidat, Senior Member, IEEE, Samuel Pierre, Senior Member, IEEE, Mark Flanagan, Senior Member, IEEE
http://arxiv.org/abs/1912.01342v1
• [cs.IT]Joint Active and Passive Beamforming for Intelligent Reflecting Surface-Assisted Massive MIMO Systems
Xingjian Li, Jun Fang, Feifei Gao, Hongbin Li
http://arxiv.org/abs/1912.00728v1
• [cs.IT]New inconsistency indicators for incomplete pairwise comparisons matrices
Jacek Szybowski, Konrad Kułakowski, Anna Prusak
http://arxiv.org/abs/1912.00505v1
• [cs.IT]On a generalization of the Jensen-Shannon divergence
Frank Nielsen
http://arxiv.org/abs/1912.00610v2
• [cs.IT]On the connection between Deutsch-Jozsa algorithm and bent functions
Eraldo Pereira Marinho
http://arxiv.org/abs/1912.01549v1
• [cs.IT]PAPR-Limited Precoding in Massive MIMO Systems with Reflect- and Transmit-Array Antennas
Ali Bereyhi, Vahid Jamali, Ralf R. Müller, Georg Fischer, Robert Schober, Antonia M. Tulino
http://arxiv.org/abs/1912.00485v1
• [cs.IT]Radio Map Based 3D Path Planning for Cellular-Connected UAV
Shuowen Zhang, Rui Zhang
http://arxiv.org/abs/1912.00021v1
• [cs.IT]Reconfigurable Intelligent Surfaces assisted Communications with Limited Phase Shifts: How Many Phase Shifts Are Enough?
Hongliang Zhang, Boya Di, Lingyang Song, Zhu Han
http://arxiv.org/abs/1912.01477v1
• [cs.IT]Reconsidering Design of Multi-Antenna NOMA Systems with Limited Feedback
Zhiyao Tang, Liang Sun, Lu Cao, Shutong Qi, and Yong Feng
http://arxiv.org/abs/1912.00406v1
• [cs.IT]Robust and Secure Wireless Communications via Intelligent Reflecting Surfaces
Xianghao Yu, Dongfang Xu, Ying Sun, Derrick Wing Kwan Ng, Robert Schober
http://arxiv.org/abs/1912.01497v1
• [cs.IT]Secure Regularized Zero Forcing for Multiuser MIMOME Channels
Saba Asaad, Ali Bereyhi, Ralf R. Müller, Rafael F. Schaefer
http://arxiv.org/abs/1912.00486v1
• [cs.IT]Short-Packet Transmission over a Bidirectional Massive MIMO link
Johan Östman, Alejandro Lancho, Giuseppe Durisi
http://arxiv.org/abs/1912.00718v1
• [cs.IT]Structure of Optimal Cache Placement for Coded Caching with Heterogeneous Demands
Yong Deng, Min Dong
http://arxiv.org/abs/1912.01082v1
• [cs.IT]Using Massive MIMO Arrays for Joint Communication and Sensing
Stefano Buzzi, Carmen D’Andrea, Marco Lops
http://arxiv.org/abs/1912.00410v1
• [cs.IT]Zero Crossing Modulation for Communication with Temporally Oversampled 1-Bit Quantization
Gerhard Fettweis, Meik Dörpinghaus, Sandra Bender, Lukas Landau, Peter Neuhaus, Martin Schlüter
http://arxiv.org/abs/1912.00976v1
• [cs.LG]“How do urban incidents affect traffic speed?” A Deep Graph Convolutional Network for Incident-driven Traffic Speed Prediction
Qinge Xie, Tiancheng Guo, Yang Chen, Yu Xiao, Xin Wang, Ben Y. Zhao
http://arxiv.org/abs/1912.01242v1
• [cs.LG]A Comparative Study of Pretrained Language Models on Thai Social Text Categorization
Thanapapas Horsuwan, Kasidis Kanwatchara, Peerapon Vateekul, Boonserm Kijsirikul
http://arxiv.org/abs/1912.01580v1
• [cs.LG]A Contextual-Bandit Approach to Online Learning to Rank for Relevance and Diversity
Chang Li, Haoyun Feng, Maarten de Rijke
http://arxiv.org/abs/1912.00508v2
• [cs.LG]A Hidden Variables Approach to Multilabel Logistic Regression
Jaemoon Lee, Hoda Shajari
http://arxiv.org/abs/1912.01241v1
• [cs.LG]A Method for Computing Class-wise Universal Adversarial Perturbations
Tejus Gupta, Abhishek Sinha, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy
http://arxiv.org/abs/1912.00466v1
• [cs.LG]A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression
Kai Yang, Tao Fan, Tianjian Chen, Yuanming Shi, Qiang Yang
http://arxiv.org/abs/1912.00513v1
• [cs.LG]AP-Perf: Incorporating Generic Performance Metrics in Differentiable Learning
Rizal Fathony, J. Zico Kolter
http://arxiv.org/abs/1912.00965v1
• [cs.LG]Adaptive Divergence for Rapid Adversarial Optimization
Maxim Borisyak, Tatiana Gaintseva, Andrey Ustyuzhanin
http://arxiv.org/abs/1912.00520v1
• [cs.LG]Adaptive Online Planning for Continual Lifelong Learning
Kevin Lu, Igor Mordatch, Pieter Abbeel
http://arxiv.org/abs/1912.01188v1
• [cs.LG]Adversarial normalization for multi domain image segmentation
Pierre-Luc Delisle, Benoit Anctil-Robitaille, Christian Desrosiers, Herve Lombaert
http://arxiv.org/abs/1912.00993v1
• [cs.LG]Adversary A3C for Robust Reinforcement Learning
Zhaoyuan Gu, Zhenzhong Jia, Howie Choset
http://arxiv.org/abs/1912.00330v1
• [cs.LG]An Anomaly Contribution Explainer for Cyber-Security Applications
Xiao Zhang, Manish Marwah, I-ta Lee, Martin Arlitt, Dan Goldwasser
http://arxiv.org/abs/1912.00314v1
• [cs.LG]Anomaly Detection in Particulate Matter Sensor using Hypothesis Pruning Generative Adversarial Network
YeongHyeon Park, Won Seok Park, Yeong Beom Kim, Seok Woong Chang
http://arxiv.org/abs/1912.00583v1
• [cs.LG]Automated curriculum generation for Policy Gradients from Demonstrations
Anirudh Srinivasan, Dzmitry Bahdanau, Maxime Chevalier-Boisvert, Yoshua Bengio
http://arxiv.org/abs/1912.00444v1
• [cs.LG]Automated speech-based screening of depression using deep convolutional neural networks
Karol Chlasta, Krzysztof Wołk, Izabela Krejtz
http://arxiv.org/abs/1912.01115v1
• [cs.LG]Bayesian Optimization Approach for Analog Circuit Synthesis Using Neural Network
Shuhan Zhang, Wenlong Lyu, Fan Yang, Changhao Yan, Dian Zhou, Xuan Zeng
http://arxiv.org/abs/1912.00402v1
• [cs.LG]CNNs, LSTMs, and Attention Networks for Pathology Detection in Medical Data
Nora Vogt
http://arxiv.org/abs/1912.00852v1
• [cs.LG]Combining MixMatch and Active Learning for Better Accuracy with Fewer Labels
Shuang Song, David Berthelot, Afshin Rostamizadeh
http://arxiv.org/abs/1912.00594v2
• [cs.LG]Continuous Graph Neural Networks
Louis-Pascal A. C. Xhonneux, Meng Qu, Jian Tang
http://arxiv.org/abs/1912.00967v1
• [cs.LG]Continuous Online Learning and New Insights to Online Imitation Learning
Jonathan Lee, Ching-An Cheng, Ken Goldberg, Byron Boots
http://arxiv.org/abs/1912.01261v1
• [cs.LG]Deep Neural Network Fingerprinting by Conferrable Adversarial Examples
Nils Lukas, Yuxuan Zhang, Florian Kerschbaum
http://arxiv.org/abs/1912.00888v1
• [cs.LG]Deep Probabilistic Models to Detect Data Poisoning Attacks
Mahesh Subedar, Nilesh Ahuja, Ranganath Krishnan, Ibrahima J. Ndiour, Omesh Tickoo
http://arxiv.org/abs/1912.01206v1
• [cs.LG]DeepFPC: Deep Unfolding of a Fixed-Point Continuation Algorithm for Sparse Signal Recovery from Quantized Measurements
Peng Xiao, Bin Liao, Nikos Deligiannis
http://arxiv.org/abs/1912.00838v2
• [cs.LG]Diagnostic Curves for Black Box Models
David I. Inouye, Liu Leqi, Joon Sik Kim, Bryon Aragam, Pradeep Ravikumar
http://arxiv.org/abs/1912.01108v1
• [cs.LG]Differential Bayesian Neural Nets
Look Andreas, Melih Kandemir
http://arxiv.org/abs/1912.00796v1
• [cs.LG]Dis-entangling Mixture of Interventions on a Causal Bayesian Network Using Aggregate Observations
Gaurav Sinha, Ayush Chauhan, Aurghya Maiti, Naman Poddar, Pulkit Goel
http://arxiv.org/abs/1912.00163v1
• [cs.LG]Dream to Control: Learning Behaviors by Latent Imagination
Danijar Hafner, Timothy Lillicrap, Jimmy Ba, Mohammad Norouzi
http://arxiv.org/abs/1912.01603v1
• [cs.LG]Drug-Target Indication Prediction by Integrating End-to-End Learning and Fingerprints
Brighter Agyemang, Wei-Ping Wu, Michael Y. Kpiebaareh, Ebenezer Nanor
http://arxiv.org/abs/1912.01163v1
• [cs.LG]EMAP: Explanation by Minimal Adversarial Perturbation
Matt Chapman-Rounds, Marc-Andre Schulz, Erik Pazos, Konstantinos Georgatzis
http://arxiv.org/abs/1912.00872v1
• [cs.LG]Efficient Relaxed Gradient Support Pursuit for Sparsity Constrained Non-convex Optimization
Fanhua Shang, Bingkun Wei, Hongying Liu, Yuanyuan Liu, Jiacheng Zhuo
http://arxiv.org/abs/1912.00858v1
• [cs.LG]Event Ticket Price Prediction with Deep Neural Network on Spatial-Temporal Sparse Data
Fei Huang, Hao Huang
http://arxiv.org/abs/1912.01139v1
• [cs.LG]ExperienceThinking: Hyperparameter Optimization with Budget Constraints
Chunnan Wang, Hongzhi Wang, Chang Zhou, Hanxiao Chen, Jianzhong Li, Hong Gao
http://arxiv.org/abs/1912.00602v1
• [cs.LG]FT-ClipAct: Resilience Analysis of Deep Neural Networks and Improving their Fault Tolerance using Clipped Activation
Le-Ha Hoang, Muhammad Abdullah Hanif, Muhammad Shafique
http://arxiv.org/abs/1912.00941v1
• [cs.LG]Fast Stochastic Ordinal Embedding with Variance Reduction and Adaptive Step Size
Ke Ma, Jinshan Zeng, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao
http://arxiv.org/abs/1912.00362v1
• [cs.LG]Fastened CROWN: Tightened Neural Network Robustness Certificates
Zhaoyang Lyu, Ching-Yun Ko, Zhifeng Kong, Ngai Wong, Dahua Lin, Luca Daniel
http://arxiv.org/abs/1912.00574v1
• [cs.LG]Federated Learning with Personalization Layers
Manoj Ghuhan Arivazhagan, Vinay Aggarwal, Aaditya Kumar Singh, Sunav Choudhary
http://arxiv.org/abs/1912.00818v1
• [cs.LG]Gaussian Embedding of Large-scale Attributed Graphs
Bhagya Hettige, Yuan-Fang Li, Weiqing Wang, Wray Buntine
http://arxiv.org/abs/1912.00536v1
• [cs.LG]GeoTrackNet-A Maritime Anomaly Detector using Probabilistic Neural Network Representation of AIS Tracks and A Contrario Detection
Duong Nguyen, Rodolphe Vadaine, Guillaume Hajduch, René Garello, Ronan Fablet
http://arxiv.org/abs/1912.00682v1
• [cs.LG]Is Discriminator a Good Feature Extractor?
Xin Mao, Zhaoyu Su, Pin Siang Tan, Jun Kang Chow, Yu-Hsing Wang
http://arxiv.org/abs/1912.00789v1
• [cs.LG]KernelNet: A Data-Dependent Kernel Parameterization for Deep Generative Modeling
Yufan Zhou, Changyou Chen, Jinhui Xu
http://arxiv.org/abs/1912.00979v1
• [cs.LG]LOGAN: Latent Optimisation for Generative Adversarial Networks
Yan Wu, Jeff Donahue, David Balduzzi, Karen Simonyan, Timothy Lillicrap
http://arxiv.org/abs/1912.00953v1
• [cs.LG]Latent Replay for Real-Time Continual Learning
Lorenzo Pellegrini, Gabrile Graffieti, Vincenzo Lomonaco, Davide Maltoni
http://arxiv.org/abs/1912.01100v1
• [cs.LG]Learning Adversarial MDPs with Bandit Feedback and Unknown Transition
Tiancheng Jin, Haipeng Luo
http://arxiv.org/abs/1912.01192v1
• [cs.LG]Learning Spatially Structured Image Transformations Using Planar Neural Networks
Joel Michelson, Joshua H. Palmer, Aneesha Dasari, Maithilee Kunda
http://arxiv.org/abs/1912.01553v1
• [cs.LG]Learning to smell for wellness
Kehinde Owoeye
http://arxiv.org/abs/1912.00895v1
• [cs.LG]Less Is Better: Unweighted Data Subsampling via Influence Function
Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang
http://arxiv.org/abs/1912.01321v1
• [cs.LG]Leveraging Procedural Generation to Benchmark Reinforcement Learning
Karl Cobbe, Christopher Hesse, Jacob Hilton, John Schulman
http://arxiv.org/abs/1912.01588v1
• [cs.LG]Location Forensics of Media Recordings Utilizing Cascaded SVM and Pole-matching Classifiers
Jayanta Dey, Mohammad Ariful Haque
http://arxiv.org/abs/1912.00519v1
• [cs.LG]Long Distance Relationships without Time Travel: Boosting the Performance of a Sparse Predictive Autoencoder in Sequence Modeling
Jeremy Gordon, David Rawlinson, Subutai Ahmad
http://arxiv.org/abs/1912.01116v1
• [cs.LG]Machine learning applications in time series hierarchical forecasting
Mahdi Abolghasemi, Rob J Hyndman, Garth Tarr, Christoph Bergmeir
http://arxiv.org/abs/1912.00370v1
• [cs.LG]Make Thunderbolts Less Frightening — Predicting Extreme Weather Using Deep Learning
Christian Schön, Jens Dittrich
http://arxiv.org/abs/1912.01277v1
• [cs.LG]Mixing autoencoder with classifier: conceptual data visualization
Pitoyo Hartono
http://arxiv.org/abs/1912.01137v1
• [cs.LG]Model Embedded DRL for Intelligent Greenhouse Control
Tinghao Zhang, Jingxu Li, Jingfeng Li, Ling Wang, Feng Li, Jie Liu
http://arxiv.org/abs/1912.00020v1
• [cs.LG]Multi-view Subspace Clustering via Partition Fusion
Juncheng Lv, Zhao Kang, Boyu Wang, Luping Ji, Zenglin Xu
http://arxiv.org/abs/1912.01201v1
• [cs.LG]Multiscale Self Attentive Convolutions for Vision and Language Modeling
Oren Barkan
http://arxiv.org/abs/1912.01521v1
• [cs.LG]Music Style Classification with Compared Methods in XGB and BPNN
Lifeng Tan, Cong Jin, Zhiyuan Cheng, Xin Lv, Leiyu Song
http://arxiv.org/abs/1912.01203v1
• [cs.LG]Neural Network Branching for Neural Network Verification
Jingyue Lu, M. Pawan Kumar
http://arxiv.org/abs/1912.01329v1
• [cs.LG]Neural Predictor for Neural Architecture Search
Wei Wen, Hanxiao Liu, Hai Li, Yiran Chen, Gabriel Bender, Pieter-Jan Kindermans
http://arxiv.org/abs/1912.00848v1
• [cs.LG]Not All Attention Is Needed: Gated Attention Network for Sequence Data
Lanqing Xue, Xiaopeng Li, Nevin L. Zhang
http://arxiv.org/abs/1912.00349v1
• [cs.LG]On the Delta Method for Uncertainty Approximation in Deep Learning
Geir K. Nilsen, Antonella Z. Munthe-Kaas, Hans J. Skaug, Morten Brun
http://arxiv.org/abs/1912.00832v1
• [cs.LG]On-policy Reinforcement Learning with Entropy Regularization
Jingbin Liu, Xinyang Gu, Dexiang Zhang, Shuai Liu
http://arxiv.org/abs/1912.01557v1
• [cs.LG]Online Knowledge Distillation with Diverse Peers
Defang Chen, Jian-Ping Mei, Can Wang, Yan Feng, Chun Chen
http://arxiv.org/abs/1912.00350v1
• [cs.LG]Optimal Laplacian regularization for sparse spectral community detection
Lorenzo Dall’Amico, Romain Couillet, Nicolas Tremblay
http://arxiv.org/abs/1912.01419v1
• [cs.LG]Optimization for Reinforcement Learning: From Single Agent to Cooperative Agents
Donghwan Lee, Niao He, Parameswaran Kamalaruban, Volkan Cevher
http://arxiv.org/abs/1912.00498v1
• [cs.LG]Overcoming Catastrophic Forgetting by Generative Regularization
Patrick H. Chen, Wei Wei, Cho-jui, Hsieh, Bo Dai
http://arxiv.org/abs/1912.01238v1
• [cs.LG]Predicting Soil pH by Using Nearest Fields
Quoc Hung Ngo, Nhien-An Le-Khac, Tahar Kechadi
http://arxiv.org/abs/1912.01303v1
• [cs.LG]Preserving Patient Privacy while Training a Predictive Model of In-hospital Mortality
Pulkit Sharma, Farah E Shamout, David A Clifton
http://arxiv.org/abs/1912.00354v1
• [cs.LG]Rank Aggregation via Heterogeneous Thurstone Preference Models
Tao Jin, Pan Xu, Quanquan Gu, Farzad Farnoud
http://arxiv.org/abs/1912.01211v1
• [cs.LG]Recovering from Biased Data: Can Fairness Constraints Improve Accuracy?
Avrim Blum, Kevin Stangl
http://arxiv.org/abs/1912.01094v1
• [cs.LG]Risk Bounds for Low Cost Bipartite Ranking
San Gultekin, John Paisley
http://arxiv.org/abs/1912.00537v1
• [cs.LG]Semi-Supervised Learning of Bearing Anomaly Detection via Deep Variational Autoencoders
Shen Zhang, Fei Ye, Bingnan Wang, Thomas G. Habetler
http://arxiv.org/abs/1912.01096v1
• [cs.LG]Sparse Graph Attention Networks
Yang Ye, Shihao Ji
http://arxiv.org/abs/1912.00552v1
• [cs.LG]Stochastic Newton and Cubic Newton Methods with Simple Local Linear-Quadratic Rates
Dmitry Kovalev, Konstantin Mishchenko, Peter Richtárik
http://arxiv.org/abs/1912.01597v1
• [cs.LG]Structure Learning with Similarity Preserving
Zhao Kang, Xiao Lu, Yiwei Lu, Chong Peng, Zenglin Xu
http://arxiv.org/abs/1912.01197v1
• [cs.LG]TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLP
Nils Rethmeier, Vageesh Kumar Saxena, Isabelle Augenstein
http://arxiv.org/abs/1912.00982v1
• [cs.LG]The Comparison of Methods for Individual Treatment Effect Detection
Aleksey Buzmakov, Daria Semenova, Maria Temirkaeva
http://arxiv.org/abs/1912.01443v1
• [cs.LG]The Knowledge Within: Methods for Data-Free Model Compression
Matan Haroush, Itay Hubara, Elad Hoffer, Daniel Soudry
http://arxiv.org/abs/1912.01274v1
• [cs.LG]The intriguing role of module criticality in the generalization of deep networks
Niladri S. Chatterji, Behnam Neyshabur, Hanie Sedghi
http://arxiv.org/abs/1912.00528v1
• [cs.LG]Towards Understanding the Spectral Bias of Deep Learning
Yuan Cao, Zhiying Fang, Yue Wu, Ding-Xuan Zhou, Quanquan Gu
http://arxiv.org/abs/1912.01198v1
• [cs.LG]Transferability versus Discriminability: Joint Probability Distribution Adaptation (JPDA)
Wen Zhang, Dongrui Wu
http://arxiv.org/abs/1912.00320v1
• [cs.LG]Using Dimensionality Reduction to Optimize t-SNE
Rikhav Shah, Sandeep Silwal
http://arxiv.org/abs/1912.01098v1
• [cs.LG]Using Laplacian Spectrum as Graph Feature Representation
Edouard Pineau
http://arxiv.org/abs/1912.00735v1
• [cs.LG]Value-laden Disciplinary Shifts in Machine Learning
Ravit Dotan, Smitha Milli
http://arxiv.org/abs/1912.01172v1
• [cs.LG]XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning
Yue Zhao, Maciej K. Hryniewicki
http://arxiv.org/abs/1912.00290v1
• [cs.LG]scikit-hubness: Hubness Reduction and Approximate Neighbor Search
Roman Feldbauer, Thomas Rattei, Arthur Flexer
http://arxiv.org/abs/1912.00706v1
• [cs.LO]FourierSAT: A Fourier Expansion-Based Algebraic Framework for Solving Hybrid Boolean Constraints
Anastasios Kyrillidis, Anshumali Shrivastava, Moshe Y. Vardi, Zhiwei Zhang
http://arxiv.org/abs/1912.01032v1
• [cs.MA]MANELA: A Multi-Agent Algorithm for Learning Network Embeddings
Han Zhang, Hong Xu
http://arxiv.org/abs/1912.00303v1
• [cs.MM]An Attention-Based Speaker Naming Method for Online Adaptation in Non-Fixed Scenarios
Jungwoo Pyo, Joohyun Lee, Youngjune Park, Tien-Cuong Bui, Sang Kyun Cha
http://arxiv.org/abs/1912.00649v1
• [cs.MS]PFASST-ER: Combining the Parallel Full Approximation Scheme in Space and Time with parallelization across the method
Ruth Schöbel, Robert Speck
http://arxiv.org/abs/1912.00702v1
• [cs.NE]MSTDP: A More Biologically Plausible Learning
Shiyuan Li
http://arxiv.org/abs/1912.00009v1
• [cs.NE]Optimizing the energy consumption of spiking neural networks for neuromorphic applications
Martino Sorbaro, Qian Liu, Massimo Bortone, Sadique Sheik
http://arxiv.org/abs/1912.01268v1
• [cs.NE]Simulation of neural function in an artificial Hebbian network
J. Campbell Scott, Thomas F. Hayes, Ahmet S. Ozcan, Winfried W. Wilcke
http://arxiv.org/abs/1912.01088v1
• [cs.NI]Age of Information in Random Access Channels
Xingran Chen, Konstantinos Gatsis, Hamed Hassani, Shirin Saeedi Bidokhti
http://arxiv.org/abs/1912.01473v1
• [cs.NI]Contribution to the design and the implementation of a Cloud Radio Access Network
Veronica Quintuna Rodriguez, Fabrice Guillemin
http://arxiv.org/abs/1912.00842v1
• [cs.NI]Dynamic Energy-Efficient Power Allocation in Multibeam Satellite Systems
Christos N. Efrem, Athanasios D. Panagopoulos
http://arxiv.org/abs/1912.00920v1
• [cs.PF]BenchCouncil’s View on Benchmarking AI and Other Emerging Workloads
Jianfeng Zhan, Lei Wang, Wanling Gao, Rui Ren
http://arxiv.org/abs/1912.00572v2
• [cs.PL]Proving Data-Poisoning Robustness in Decision Trees
Samuel Drews, Aws Albarghouthi, Loris D’Antoni
http://arxiv.org/abs/1912.00981v1
• [cs.RO]A Keyframe-based Continuous Visual SLAM for RGB-D Cameras via Nonparametric Joint Geometric and Appearance Representation
Xi Lin, Dingyi Sun, Tzu-Yuan Lin, Ryan M. Eustice, Maani Ghaffari
http://arxiv.org/abs/1912.01064v1
• [cs.RO]AD-EYE: A Co-simulation Platform for Early Verification of Functional Safety Concepts
Naveen Mohan, Martin Törngren
http://arxiv.org/abs/1912.00448v1
• [cs.RO]Augmented Reality for Human-Swarm Interaction in a Swarm-Robotic Chemistry Simulation
Sumeet Batra, John Klingner, Nikolaus Correll
http://arxiv.org/abs/1912.00951v1
• [cs.RO]Comparison and Evaluation of 2D and 3D Range Sensors
Qingwen Xu, Sören Schwertfeger
http://arxiv.org/abs/1912.01297v1
• [cs.RO]Design, modelling and control of a novel agricultural robot with interlock drive system
David Reiser, Volker Nannen, Gero Hubel, Hans W. Griepentrog
http://arxiv.org/abs/1912.00413v1
• [cs.RO]Embodiment in Socially Interactive Robots
Eric Deng, Bilge Mutlu, Maja Mataric
http://arxiv.org/abs/1912.00312v1
• [cs.RO]Evaluation of Smartphone IMUs for Small Mobile Search and Rescue Robots
Xiangyang Zhi, Qingwen Xu, Sören Schwertfeger
http://arxiv.org/abs/1912.01221v1
• [cs.RO]Forecasting Trajectory and Behavior of Road-Agents Using Spectral Clustering in Graph-LSTMs
Rohan Chandra, Tianrui Guan, Srujan Panuganti, Trisha Mittal, Uttaran Bhattacharya, Aniket Bera, Dinesh Manocha
http://arxiv.org/abs/1912.01118v1
• [cs.RO]Human Whole-Body Dynamics Estimation for Enhancing Physical Human-Robot Interaction
Claudia Latella
http://arxiv.org/abs/1912.01136v1
• [cs.RO]Internally-Balanced Magnetic Mechanisms Using Magnetic Spring for Producing Large Amplified Clamping Force
Tori Shimizu, Kenjiro Tadakuma, Masahiro Watanabe, Eri Takane, Masashi Konyo, Satoshi Tadokoro
http://arxiv.org/abs/1912.01292v1
• [cs.RO]Online Multi-Target Tracking for Maneuvering Vehicles in Dynamic Road Context
Zehui Meng, Qi Heng Ho, Zefan Huang, Hongliang Guo, Marcelo H. Ang Jr., Daniela Rus
http://arxiv.org/abs/1912.00603v1
• [cs.RO]Radial-Layer Jamming Mechanism for String Configuration
Rio Mukaide, Kenjiro Tadakuma, Masahiro Watanabe, Yu ozawa, Tomoya Takahashi, Masashi Konyo, Satoshi Tadokoro
http://arxiv.org/abs/1912.01291v1
• [cs.RO]Range-only Collaborative Localization for Ground Vehicles
Qin Shi, Xiaowei Cui, Sihao Zhao, Jian Wen, Mingquan Lu
http://arxiv.org/abs/1912.01182v1
• [cs.RO]Room Detection for Topological Maps
Sören Schwertfeger, Tianyan Yu
http://arxiv.org/abs/1912.01279v1
• [cs.RO]Safe rendering of high impedance on a series-elastic actuator with disturbance observer-based torque control
Kevin Haninger, Abner Asignacion, Sehoon Oh
http://arxiv.org/abs/1912.01355v1
• [cs.RO]Scene recognition based on DNN and game theory with its applications in human-robot interaction
R. Q. Wang, W. Z. Wang, D. Z. Zhao, G. H. Chen
http://arxiv.org/abs/1912.01293v1
• [cs.RO]Surface Following using Deep Reinforcement Learning and a GelSightTactile Sensor
Chen Lu, Jing Wang, Shan Luo
http://arxiv.org/abs/1912.00745v1
• [cs.RO]Transferable Force-Torque Dynamics Model for Peg-in-hole Task
Junfeng Ding, Chen Wang, Cewu Lu
http://arxiv.org/abs/1912.00260v1
• [cs.RO]Visual-UWB Navigation System for Unknown Environments
Qin Shi, Xiaowei Cui, Wei Li, Yu Xia, Mingquan Lu
http://arxiv.org/abs/1912.01178v1
• [cs.SD]WaveFlow: A Compact Flow-based Model for Raw Audio
Wei Ping, Kainan Peng, Kexin Zhao, Zhao Song
http://arxiv.org/abs/1912.01219v1
• [cs.SI]Core-Periphery Structure in Directed Networks
Andrew Elliott, Angus Chiu, Marya Bazzi, Gesine Reinert, Mihai Cucuringu
http://arxiv.org/abs/1912.00984v1
• [cs.SI]Discovering Opioid Use Patterns from Social Media for Relapse Prevention
Zhou Yang, Spencer Bradshaw, Rattikorn Hewett, Fang Jin
http://arxiv.org/abs/1912.01122v1
• [cs.SI]Generalizable prediction of academic performance from short texts on social media
Ivan Smirnov
http://arxiv.org/abs/1912.00463v1
• [cs.SI]Generalized Reputation Computation Ontology and Temporal Graph Architecture
Anton Kolonin
http://arxiv.org/abs/1912.00176v1
• [cs.SI]JNET: Learning User Representations via Joint Network Embedding and Topic Embedding
Lin Gong, Lu Lin, Weihao Song, Hongning Wang
http://arxiv.org/abs/1912.00465v1
• [cs.SI]Meta-Path Constrained Random Walk Inference for Large-Scale Heterogeneous Information Networks
Chenguang Wang
http://arxiv.org/abs/1912.00634v1
• [cs.SI]On Multi-Cascade Influence Maximization: Model, Hardness and Algorithmic Framework
Guangmo Tong, Ruiqi Wang, Zheng Dong
http://arxiv.org/abs/1912.00272v1
• [cs.SI]Online information of vaccines: information quality is an ethical responsibility of search engines
Pietro Ghezzi, Peter G Bannister, Gonzalo Casino, Alessia Catalani, Michel Goldman, Jessica Morley, Marie Neunez, Andreu Prados, Mariarosaria Taddeo, Tania Vanzolini, Luciano Floridi
http://arxiv.org/abs/1912.00898v1
• [cs.SI]Visualizing structural balance in signed networks
Edoardo Galimberti, Chiara Madeddu, Francesco Bonchi, Giancarlo Ruffo
http://arxiv.org/abs/1912.00238v1
• [econ.EM]Mean-shift least squares model averaging
Kenichiro McAlinn, Kosaku Takanashi
http://arxiv.org/abs/1912.01194v1
• [eess.IV]A deep learning based tool for automatic brain extraction from functional magnetic resonance images in rodents
Sidney Pontes-Filho, Annelene Gulden Dahl, Gustavo Borges Moreno e Mello
http://arxiv.org/abs/1912.01359v1
• [eess.IV]Applying Knowledge Transfer for Water Body Segmentation in Peru
Jessenia Gonzalez, Debjani Bhowmick, Cesar Beltran, Kris Sankaran, Yoshua Bengio
http://arxiv.org/abs/1912.00957v1
• [eess.IV]Degenerative Adversarial NeuroImage Nets for 3D Simulations: Application in Longitudinal MRI
Daniele Ravi, Stefano B. Blumberg, Daniel C. Alexander, Neil P. Oxtoby
http://arxiv.org/abs/1912.01526v1
• [eess.IV]Detecting GAN generated errors
Xiru Zhu, Fengdi Che, Tianzi Yang, Tzuyang Yu, David Meger, Gregory Dudek
http://arxiv.org/abs/1912.00527v1
• [eess.IV]Detecting mechanical loosening of total hip replacement implant from plain radiograph using deep convolutional neural network
Alireza Borjali, Antonia F. Chen, Orhun K. Muratoglu, Mohammad A. Morid, Kartik M. Varadarajan
http://arxiv.org/abs/1912.00943v1
• [eess.IV]Hepatocellular Carcinoma Intra-arterial Treatment Response Prediction for Improved Therapeutic Decision-Making
Junlin Yang, Nicha C. Dvornek, Fan Zhang, Julius Chapiro, MingDe Lin, Aaron Abajian, James S. Duncan
http://arxiv.org/abs/1912.00411v1
• [eess.IV]Multi-Channel Volumetric Neural Network for Knee Cartilage Segmentation in Cone-beam CT
Jennifer Maier, Luis Carlos Rivera Monroy, Christopher Syben, Yejin Jeon, Jang-Hwan Choi, Mary Elizabeth Hall, Marc Levenston, Garry Gold, Rebecca Fahrig, Andreas Maier
http://arxiv.org/abs/1912.01362v1
• [eess.IV]Noise2Blur: Online Noise Extraction and Denoising
Huangxing Lin, Weihong Zeng, Xinghao Ding, Xueyang Fu, Yue Huang, John Paisley
http://arxiv.org/abs/1912.01158v1
• [eess.IV]Offset Masking Improves Deep Learning based Accelerated MRI Reconstructions
Aaron Defazio
http://arxiv.org/abs/1912.01101v1
• [eess.IV]Pyramid Convolutional RNN for MRI Reconstruction
Puyang Wang, Eric Z. Chen, Terrence Chen, Vishal M. Patel, Shanhui Sun
http://arxiv.org/abs/1912.00543v2
• [eess.IV]Robust Invisible Hyperlinks in Physical Photographs Based on 3D Rendering Attacks
Jun Jia, Zhongpai Gao, Kang Chen, Menghan Hu, Guangtao Zhai, Guodong Guo, Xiaokang Yang
http://arxiv.org/abs/1912.01224v1
• [eess.IV]Stochastic tissue window normalization of deep learning on computed tomography
Yuankai Huo, Yucheng Tang, Yunqiang Chen, Dashan Gao, Shizhong Han, Shunxing Bao, Smita De, James G. Terry, Jeffrey J. Carr, Richard G. Abramson, Bennett A. Landman
http://arxiv.org/abs/1912.00420v1
• [eess.IV]Texture Hallucination for Large-Scale Painting Super-Resolution
Yulun Zhang, Zhifei Zhang, Stephen DiVerdi, Zhaowen Wang, Jose Echevarria, Yun Fu
http://arxiv.org/abs/1912.00515v1
• [eess.IV]The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge
Nicholas Heller, Fabian Isensee, Klaus H. Maier-Hein, Xiaoshuai Hou, Chunmei Xie, Fengyi Li, Yang Nan, Guangrui Mu, Zhiyong Lin, Miofei Han, Guang Yao, Yaozong Gao, Yao Zhang, Yixin Wang, Feng Hou, Jiawei Yang, Guangwei Xiong, Jiang Tian, Cheng Zhong, Jun Ma, Jack Rickman, Joshua Dean, Bethany Stai, Resha Tejpaul, Makinna Oestreich, Paul Blake, Heather Kaluzniak, Shaneabbas Raza, Joel Rosenberg, Keenan Moore, Edward Walczak, Zachary Rengel, Zach Edgerton, Ranveer Vasdev, Matthew Peterson, Sean McSweeney, Sarah Peterson, Arveen Kalapara, Niranjan Sathianathen, Christopher Weight, Nikolaos Papanikolopoulos
http://arxiv.org/abs/1912.01054v1
• [eess.SP]Internet of Things in Geospatial Analytics
Carlos Granell, Andreas Kamilaris, Alexander Kotsev, Frank O. Ostermann, Sergio Trilles
http://arxiv.org/abs/1912.01501v1
• [eess.SP]Towards blind user’s indoor navigation: a comparative study of beacons and decawave for indoor accurate location
Prabin Sharma, Sambad Bidari, Antonio Valente, Hugo Paredes
http://arxiv.org/abs/1912.01499v1
• [math.NA]An asynchronous incomplete block LU preconditioner for computational fluid dynamics on unstructured grids
Aditya Kashi, Siva Nadarajah
http://arxiv.org/abs/1912.00539v1
• [math.OC]Linear Convergence of Frank-Wolfe for Rank-One Matrix Recovery Without Strong Convexity
Dan Garber
http://arxiv.org/abs/1912.01467v1
• [math.PR]Equivalence of the Hazard Rate and Usual Stochastic Orders for Parallel Systems
Khaled Masoumifard
http://arxiv.org/abs/1912.00798v1
• [math.ST]A Rigorous Theory of Conditional Mean Embeddings
Ilja Klebanov, Ingmar Schuster, T. J. Sullivan
http://arxiv.org/abs/1912.00671v1
• [math.ST]A simple proof of the characteristic function of Student’s $t$-distribution
Robert E. Gaunt
http://arxiv.org/abs/1912.01245v1
• [math.ST]Algebraic Analysis of Rotation Data
Michael F. Adamer, András C. Lőrincz, Anna-Laura Sattelberger, Bernd Sturmfels
http://arxiv.org/abs/1912.00396v1
• [math.ST]Anisotropic Functional Deconvolution for the irregular design with dependent long-memory errors
Rida Benhaddou
http://arxiv.org/abs/1912.00478v1
• [math.ST]Copula versions of distance multivariance and dHSIC via the distributional transform — a general approach to construct invariant dependence measures
Björn Böttcher
http://arxiv.org/abs/1912.01388v1
• [math.ST]Decentralised Sparse Multi-Task Regression
Dominic Richards, Sahand N. Negahban, Patrick Rebeschini
http://arxiv.org/abs/1912.01417v1
• [math.ST]Efficient adjustment sets for population average treatment effect estimation in non-parametric causal graphical models
Andrea Rotnitzky, Ezequiel Smucler
http://arxiv.org/abs/1912.00306v1
• [math.ST]Evidence for goodness of fit in Karl Pearson chi-squared statistics
Robert G. Staudte
http://arxiv.org/abs/1912.01134v1
• [math.ST]Longitudinal Mediation Analysis Using Natural Effect Models
Murthy N Mittinty, Stijn Vansteelandt
http://arxiv.org/abs/1912.01200v1
• [math.ST]Non parametric estimation of residual-past entropy, mean residual-past lifetime, residual-past inaccuracy measure and asymptotic limits
Ba Amadou Diadie
http://arxiv.org/abs/1912.00150v1
• [math.ST]Nonparametric Screening under Conditional Strictly Convex Loss for Ultrahigh Dimensional Sparse Data
Xu Han
http://arxiv.org/abs/1912.01157v1
• [math.ST]On Distance and Kernel Measures of Conditional Independence
Tianhong Sheng, Bharath K. Sriperumbudur
http://arxiv.org/abs/1912.01103v1
• [math.ST]Optimal Best Markovian Arm Identification with Fixed Confidence
Vrettos Moulos
http://arxiv.org/abs/1912.00636v1
• [math.ST]Statistical inference for fractional diffusion process with random effects at discrete observations
El Omari Mohamed, Hamid El Maroufy, Christiane Fuchs
http://arxiv.org/abs/1912.01463v1
• [physics.comp-ph]Transforming the Lindblad Equation into a System of Linear Equations: Performance Optimization and Parallelization
Iosif Meyerov, Evgeny Kozinov, Alexey Liniov, Valentin Volokitin, Igor Yusipov, Mikhail Ivanchenko, Sergey Denisov
http://arxiv.org/abs/1912.01491v1
• [physics.soc-ph]Competing local and global interactions in social dynamics: how important is the friendship network?
Arkadiusz Jędrzejewski, Bartłomiej Nowak, Angelika Abramiuk, Katarzyna Sznajd-Weron
http://arxiv.org/abs/1912.01236v1
• [physics.soc-ph]Quantifying Life Quality as Walkability on Urban Networks: The Case of Budapest
Luis Natera, Dávid Deritei, Anna Vancsó, Orsolya Vásárhelyi
http://arxiv.org/abs/1912.00893v1
• [physics.space-ph]A gray-box model for a probabilistic estimate of regional ground magnetic perturbations: Enhancing the NOAA operational Geospace model with machine learning
Enrico Camporeale, M. D. Cash, H. J. Singer, C. C. Balch, Z. Huang, G. Toth
http://arxiv.org/abs/1912.01038v1
• [q-bio.BM]DeepAtom: A Framework for Protein-Ligand Binding Affinity Prediction
Yanjun Li, Mohammad A. Rezaei, Chenglong Li, Xiaolin Li, Dapeng Wu
http://arxiv.org/abs/1912.00318v1
• [q-bio.PE]Drug dissemination strategy with a SEIR-based SUC model
Boyue Fang, Yutong Feng
http://arxiv.org/abs/1912.00053v1
• [q-bio.QM]Joint and individual analysis of breast cancer histologic images and genomic covariates
Iain Carmichael, Benjamin C. Calhoun, Katherine A. Hoadley, Melissa A. Troester, Joseph Geradts, Heather D. Couture, Linnea Olsson, Charles M. Perou, Marc Niethammer, Jan Hannig, J. S. Marron
http://arxiv.org/abs/1912.00434v2
• [quant-ph]Adjusted Subadditivity of Relative Entropy for Non-commuting Conditional Expectations
Nicholas LaRacuente
http://arxiv.org/abs/1912.00983v1
• [quant-ph]Optimizing the fundamental limits for quantum and private communication
Xin Wang
http://arxiv.org/abs/1912.00931v1
• [stat.AP]Automated metrics calculation in a dynamic heterogeneous environment
Craig Boucher, Ulf Knoblich, Daniel Miller, Sasha Patotski, Amin Saied, Venky Venkateshaiah
http://arxiv.org/abs/1912.00913v1
• [stat.AP]Confounding Adjustment Methods for Multi-level Treatment Comparisons Under Lack of Positivity and Unknown Model Specification
Diop S. Arona, Duchesne Thierry, Cumming Steven, Diop Awa, Talbot Denis
http://arxiv.org/abs/1912.01517v1
• [stat.AP]Crime in Philadelphia: Bayesian Clustering with Particle Optimization
Cecilia Balocchi, Sameer K. Deshpande, Edward I. George, Shane T. Jensen
http://arxiv.org/abs/1912.00111v1
• [stat.AP]Diagnostic checking in FARIMA models with uncorrelated but non-independent error terms
Yacouba Boubacar Maïnassara, Youssef Esstafa, Bruno Saussereau
http://arxiv.org/abs/1912.00013v1
• [stat.AP]Editorial: EVA 2019 data competition on spatio-temporal prediction of Red Sea surface temperature extremes
Raphaël Huser
http://arxiv.org/abs/1912.00694v1
• [stat.AP]Improving upon NBA point-differential rankings
Samuel Henry
http://arxiv.org/abs/1912.01574v1
• [stat.AP]Inferring HIV incidence trends and transmission dynamics with a spatio-temporal HIV epidemic model
Timothy M Wolock, Seth R Flaxman, Jeffrey W Eaton
http://arxiv.org/abs/1912.01590v1
• [stat.AP]Multi-temporal abrupt change estimation on Landsat time series imagery: an application to analyze burn severity in La Primavera, Mexico
Inder Tecuapetla-Gómez, Gabriela Villamil-Cortez, María Isabel Cruz-López
http://arxiv.org/abs/1912.01543v1
• [stat.AP]Penalized Matrix Regression for Two-Dimensional Variable Selection
Cheoljoon Jeong, Xiaolei Fang
http://arxiv.org/abs/1912.00326v1
• [stat.AP]Space-Time Landslide Predictive Modelling
Luigi Lombardo, Thomas Opitz, Francesca Ardizzone, Fausto Guzzetti, Raphaël Huser
http://arxiv.org/abs/1912.01233v1
• [stat.AP]Survival analysis for AdVerse events with VarYing follow-up times (SAVVY): Rationale and statistical concept of a meta-analytic study
Regina Stegherr, Jan Beyersmann, Valentine Jehl, Kaspar Rufibach, Friedhelm Leverkus, Claudia Schmoor, Tim Friede
http://arxiv.org/abs/1912.00263v1
• [stat.AP]The Effect of Real Estate Auction Events on Mortality Rate
Cheoljoon Jeong
http://arxiv.org/abs/1912.00327v1
• [stat.ME]A novel framework for joint sparse clustering and alignment of functional data
Valeria Vitelli
http://arxiv.org/abs/1912.00687v1
• [stat.ME]Branching epistemic uncertainty and thickness of tails
Nassim Nicholas Taleb, Pasquale Cirillo
http://arxiv.org/abs/1912.00277v1
• [stat.ME]Distribution-Free Pointwise Adjusted P-Values for Functional Hypotheses
Meng Xu, Philip T. Reiss
http://arxiv.org/abs/1912.00360v1
• [stat.ME]Efficient Estimation of Mixture Cure Frailty Model for Clustered Current Status Data
Tong Wang, Kejun He, Wei Ma, Dipankar Bandyopadhyay, Samiran Sinha
http://arxiv.org/abs/1912.00295v2
• [stat.ME]Inference for Synthetic Control Methods with Multiple Treated Units
Ziyan Zhang
http://arxiv.org/abs/1912.00568v1
• [stat.ME]Nonparametric analysis of nonhomogeneous multi-state processes based on clustered observations
Giorgos Bakoyannis
http://arxiv.org/abs/1912.00487v1
• [stat.ME]SSNdesign — an R package for pseudo-Bayesian optimal and adaptive sampling designs on stream networks
Alan R. Pearse, James M. McGree, Nicholas A. Som, Catherine Leigh, Jay M. Ver Hoef, Paul Maxwell, Erin E. Peterson
http://arxiv.org/abs/1912.00540v1
• [stat.ME]Simpson’s Paradox and the implications for medical trials
Norman Fenton, Martin Neil, Anthony Constantinou
http://arxiv.org/abs/1912.01422v1
• [stat.ML]A Fast deflation Method for Sparse Principal Component Analysis via Subspace Projections
Cong Xu, Min Yang, Jin Zhang
http://arxiv.org/abs/1912.01449v1
• [stat.ML]A Random Matrix Perspective on Mixtures of Nonlinearities for Deep Learning
Ben Adlam, Jake Levinson, Jeffrey Pennington
http://arxiv.org/abs/1912.00827v1
• [stat.ML]Asymptotic Normality and Variance Estimation For Supervised Ensembles
Zhengze Zhou, Lucas Mentch, Giles Hooker
http://arxiv.org/abs/1912.01089v1
• [stat.ML]Bayesian Model Selection for Change Point Detection and Clustering
Othmane Mazhar, Cristian R. Rojas, Carlo Fischione, Mohammad R. Hesamzadeh
http://arxiv.org/abs/1912.01308v1
• [stat.ML]Clustering via Ant Colonies: Parameter Analysis and Improvement of the Algorithm
Jeffry Chavarria-Molina, Juan Jose Fallas-Monge, Javier Trejos-Zelaya
http://arxiv.org/abs/1912.01105v1
• [stat.ML]Factor Analysis on Citation, Using a Combined Latent and Logistic Regression Model
Namjoon Suh, Xiaoming Huo, Eric Heim, Lee Seversky
http://arxiv.org/abs/1912.00524v1
• [stat.ML]Flow Contrastive Estimation of Energy-Based Models
Ruiqi Gao, Erik Nijkamp, Diederik P. Kingma, Zhen Xu, Andrew M. Dai, Ying Nian Wu
http://arxiv.org/abs/1912.00589v1
• [stat.ML]Implicit Priors for Knowledge Sharing in Bayesian Neural Networks
Jack K Fitzsimons, Sebastian M Schmon, Stephen J Roberts
http://arxiv.org/abs/1912.00874v1
• [stat.ML]Matrix sketching for supervised classification with imbalanced classes
Roberta Falcone, Angela Montanari, Laura Anderlucci
http://arxiv.org/abs/1912.00905v1
• [stat.ML]Numerical Gaussian process Kalman filtering
Armin Küper, Steffen Waldherr
http://arxiv.org/abs/1912.01234v1
• [stat.ML]On the Validity of Bayesian Neural Networks for Uncertainty Estimation
John Mitros, Brian Mac Namee
http://arxiv.org/abs/1912.01530v1
• [stat.ML]On the geometry of Stein variational gradient descent
A. Duncan, N. Nuesken, L. Szpruch
http://arxiv.org/abs/1912.00894v1
• [stat.ML]On the optimality of kernels for high-dimensional clustering
Leena Chennuru Vankadara, Debarghya Ghoshdastidar
http://arxiv.org/abs/1912.00458v1
• [stat.ML]Sequential Classification with Empirically Observed Statistics
Mahdi Haghifam, Vincent Y. F. Tan, Ashish Khisti
http://arxiv.org/abs/1912.01170v1
• [stat.ML]Stationary Points of Shallow Neural Networks with Quadratic Activation Function
David Gamarnik, Eren C. Kızıldağ, Ilias Zadik
http://arxiv.org/abs/1912.01599v1
• [stat.ML]Variable Selection with Rigorous Uncertainty Quantification using Deep Bayesian Neural Networks: Posterior Concentration and Bernstein-von Mises Phenomenon
Jeremiah Zhe Liu
http://arxiv.org/abs/1912.01189v1