cs.AI - 人工智能
cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.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.RO - 机器人学 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 nlin.CG - 细胞自动机与晶格气 q-fin.PM - 投资组合管理 quant-ph - 量子物理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cs.LG]Bayesian optimization for backpropagation in Monte-Carlo tree search
• [cs.AI]Adaptive Teaching of Temporal Logic Formulas to Learners with Preferences
• [cs.AI]Consciousness and Automated Reasoning
• [cs.AI]Explainable Artificial Intelligence and Machine Learning: A reality rooted perspective
• [cs.AI]Learning Non-Markovian Reward Models in MDPs
• [cs.AI]Long term planning of military aircraft flight and maintenance operations
• [cs.AI]NLocalSAT: Boosting Local Search with Solution Prediction
• [cs.AI]On Expansion and Contraction of DL-Lite Knowledge Bases
• [cs.AI]Sentiment and Knowledge Based Algorithmic Trading with Deep Reinforcement Learning
• [cs.AI]The SPECIAL-K Personal Data Processing Transparency and Compliance Platform
• [cs.CL]An Analysis of Word2Vec for the Italian Language
• [cs.CL]An Iterative Approach for Identifying Complaint Based Tweets in Social Media Platforms
• [cs.CL]Dual Multi-head Co-attention for Multi-choice Reading Comprehension
• [cs.CL]Efficient, Effective and Well Justified Estimation of Active Nodes within a Cluster
• [cs.CL]Further Boosting BERT-based Models by Duplicating Existing Layers: Some Intriguing Phenomena inside BERT
• [cs.CL]Generating Representative Headlines for News Stories
• [cs.CL]Intent Classification in Question-Answering Using LSTM Architectures
• [cs.CL]Learning To Detect Keyword Parts And Whole By Smoothed Max Pooling
• [cs.CL]PMIndia — A Collection of Parallel Corpora of Languages of India
• [cs.CL]Retrospective Reader for Machine Reading Comprehension
• [cs.CL]Scaling Up Online Speech Recognition Using ConvNets
• [cs.CL]TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network
• [cs.CL]The POLAR Framework: Polar Opposites Enable Interpretability of Pre-Trained Word Embeddings
• [cs.CL]Towards Quantifying the Distance between Opinions
• [cs.CL]Towards a Human-like Open-Domain Chatbot
• [cs.CL]Unsupervised Extraction of Market Moving Events with Neural Attention
• [cs.CR]AI-Powered GUI Attack and Its Defensive Methods
• [cs.CR]An Overview of Fingerprint-Based Authentication: Liveness Detection and Beyond
• [cs.CR]Distributed systems and trusted execution environments: Trade-offs and challenges
• [cs.CR]Survey of Network Intrusion Detection Methods from the Perspective of the Knowledge Discovery in Databases Process
• [cs.CV]A Branching and Merging Convolutional Network wi
7a4
th Homogeneous Filter Capsules
• [cs.CV]A Robust Real-Time Computing-based Environment Sensing System for Intelligent Vehicle
• [cs.CV]Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks
• [cs.CV]Brain Metastasis Segmentation Network Trained with Robustness to Annotations with Multiple False Negatives
• [cs.CV]Convolution Neural Network Architecture Learning for Remote Sensing Scene Classification
• [cs.CV]Crowd Scene Analysis by Output Encoding
• [cs.CV]Curriculum Audiovisual Learning
• [cs.CV]DRMIME: Differentiable Mutual Information and Matrix Exponential for Multi-Resolution Image Registration
• [cs.CV]Depthwise-STFT based separable Convolutional Neural Networks
• [cs.CV]EEG fingerprinting: subject specific signature based on the aperiodic component of power spectrum
• [cs.CV]End-to-End Vision-Based Adaptive Cruise Control (ACC) Using Deep Reinforcement Learning
• [cs.CV]Explaining with Counter Visual Attributes and Examples
• [cs.CV]FakeLocator: Robust Localization of GAN-Based Face Manipulations via Semantic Segmentation Networks with Bells and Whistles
• [cs.CV]GEDDnet: A Network for Gaze Estimation with Dilation and Decomposition
• [cs.CV]Handling noise in image deblurring via joint learning
• [cs.CV]Learning Canonical Shape Space for Category-Level 6D Object Pose and Size Estimation
• [cs.CV]Learning Preference-Based Similarities from Face Images using Siamese Multi-Task CNNs
• [cs.CV]Learning a distance function with a Siamese network to localize anomalies in videos
• [cs.CV]Look Closer to Ground Better: Weakly-Supervised Temporal Grounding of Sentence in Video
• [cs.CV]Modular network for high accuracy object detection
• [cs.CV]Multi-Modal Domain Adaptation for Fine-Grained Action Recognition
• [cs.CV]Near real-time map building with multi-class image set labelling and classification of road conditions using convolutional neural networks
• [cs.CV]On the Role of Receptive Field in Unsupervised Sim-to-Real Image Translation
• [cs.CV]PSC-Net: Learning Part Spatial Co-occurence for Occluded Pedestrian Detection
• [cs.CV]Practical Fast Gradient Sign Attack against Mammographic Image Classifier
• [cs.CV]SDOD:Real-time Segmenting and Detecting 3D Objects by Depth
• [cs.CV]Scene Text Recognition With Finer Grid Rectification
• [cs.CV]Temporal Pulses Driven Spiking Neural Network for Fast Object Recognition in Autonomous Driving
• [cs.CV]The Whole Is Greater Than the Sum of Its Nonrigid Parts
• [cs.CV]Unconstrained Biometric Recognition: Summary of Recent SOCIA Lab. Research
• [cs.CV]Unsupervised Disentanglement of Pose, Appearance and Background from Images and Videos
• [cs.CV]Using Simulated Data to Generate Images of Climate Change
• [cs.CV]VerSe: A Vertebrae Labelling and Segmentation Benchmark
• [cs.CV]Visualisation of Medical Image Fusion and Translation for Accurate Diagnosis of High Grade Gliomas
• [cs.CV]Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Inputs
• [cs.CV]Weakly Supervised Lesion Co-segmentation on CT Scans
• [cs.CV]e-UDA: Efficient Unsupervised Domain Adaptation for Cross-Site Medical Image Segmentation
• [cs.CY]Block the blocker: Studying the effects of Anti Ad-blocking
• [cs.CY]Case Study: Predictive Fairness to Reduce Misdemeanor Recidivism Through Social Service Interventions
• [cs.CY]Information Credibility in the Social Web: Contexts, Approaches, and Open Issues
• [cs.CY]Secondary Use of Electronic Health Record: Opportunities and Challenges
• [cs.CY]Ten Social Dimensions of Conversations and Relationships
• [cs.CY]The Effects of Gender Signals and Performance in Online Product Reviews
• [cs.DC]A Proof of Useful Work for Artificial Intelligence on the Blockchain
• [cs.DC]A Visual Analytics Framework for Reviewing Streaming Performance Data
• [cs.DC]Context-aware Distribution of Fog Applications Using Deep Reinforcement Learning
• [cs.DC]GeoRocket: A scalable and cloud-based data store for big geospatial files
• [cs.DC]Hermes: a Fast, Fault-Tolerant and Linearizable Replication Protocol
• [cs.DC]Interoperable GPU Kernels as Latency Improver for MEC
• [cs.DC]Load-Balanced Bottleneck Objectives in Process Mapping
• [cs.DC]Reinforcement Learning-based Autoscaling of Workflows in the Cloud: A Survey
• [cs.HC]Explainable Active Learning (XAL): An Empirical Study of How Local Explanations Impact Annotator Experience
• [cs.HC]Gesticulator: A framework for semantically-aware speech-driven gesture generation
• [cs.HC]Machine Learning for a Music Glove Instrument
• [cs.HC]What’s happened in MOOC Posts Analysis, Knowledge Tracing and Peer Feedbacks? A Review
• [cs.IR]Estimating Error and Bias in Offline Evaluation Results
• [cs.IR]The side effect profile of Clozapine in real world data of three large mental hospitals
• [cs.IT]A Semi-Linear Approximation of the First-Order Marcum $Q$-function with Application to Predictor Antenna Systems
• [cs.IT]A generalization of the $α$-divergences based on comparable and distinct weighted means
• [cs.IT]A tutorial on the range variant of asymmetric numeral systems
• [cs.IT]Cognitive Radio Networks: An Information Theoretic Perspective
• [cs.IT]Compressed Sensing with 1D Total Variation: Breaking Sample Complexity Barriers via Non-Uniform Recovery
• [cs.IT]Computing the Feedback Capacity of Finite State Channels using Reinforcement Learning
• [cs.IT]Coordinating Complementary Waveforms for Suppressing Range Sidelobes in a Doppler Band
• [cs.IT]Dihedral group codes over finite fields
• [cs.IT]Distributed Sensing with Orthogonal Multiple Access: To code or not to Code?
• [cs.IT]Extreme URLLC: Vision, Challenges, and Key Enablers
• [cs.IT]Max-Min Fair Wireless-Powered Cell-Free Massive MIMO for Uncorrelated Rician Fading Channels
• [cs.IT]Optimal Sampling and Scheduling for Timely Status Updates in Multi-source Networks
• [cs.IT]Optimal Selective Encoding for Timely Updates
• [cs.IT]Parallel Factor Decomposition Channel Estimation in RIS-Assisted Multi-User MISO Communication
• [cs.IT]Robust Gaussian Joint Source-Channel Coding with a Staircase Distortion-Noise Profile
• [cs.LG]A Lagrangian Dual Framework for Deep Neural Networks with Constraints
• [cs.LG]An interpretable semi-supervised classifier using two different strategies for amended self-labeling
• [cs.LG]Bayesian nonparametric shared multi-sequence time series segmentation
• [cs.LG]Boosted and Differentially Private Ensembles of Decision Trees
• [cs.LG]COR-GAN: Correlation-Capturing Convolutional Neural Networks for Generating Synthetic Healthcare Records
• [cs.LG]Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning
• [cs.LG]Comprehensive Analysis of Time Series Forecasting Using Neural Networks
• [cs.LG]Constrained Upper Confidence Reinforcement Learning
• [cs.LG]DP-CGAN: Differentially Private Synthetic Data and Label Generation
• [cs.LG]Deep Graph Matching Consensus
• [cs.LG]Detection of Thin Boundaries between Different Types of Anomalies in Outlier Detection using Enhanced Neural Networks
• [cs.LG]Developing Multi-Task Recommendations with Long-Term Rewards via Policy Distilled Reinforcement Learning
• [cs.LG]Ensemble Noise Simulation to Handle Uncertainty about Gradient-based Adversarial Attacks
• [cs.LG]Estimation of high frequency nutrient concentrations from water quality surrogates using machine learning methods
• [cs.LG]Exploiting Unsupervised Inputs for Accurate Few-Shot Classification
• [cs.LG]Feature selection in machine learning: Rényi min-entropy vs Shannon entropy
• [cs.LG]Following Instructions by Imagining and Reaching Visual Goals
• [cs.LG]GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation
• [cs.LG]Heterogeneous Learning from Demonstration
• [cs.LG]Imperfect ImaGANation: Implications of GANs Exacerbating Biases on Facial Data Augmentation and Snapchat Selfie Lenses
• [cs.LG]Improper Learning for Non-Stochastic Control
• [cs.LG]Inference in Multi-Layer Networks with Matrix-Valued Unknowns
• [cs.LG]LiteMORT: A memory efficient gradient boosting tree system on adaptive compact distributions
• [cs.LG]Multimodal Data Fusion based on the Global Workspace Theory
• [cs.LG]Naive Exploration is Optimal for Online LQR
• [cs.LG]On the Fairness of Randomized Trials for Recommendation With Heterogeneous Demographics and Beyond
• [cs.LG]One Explanation Does Not Fit All: The Promise of Interactive Explanations for Machine Learning Transparency
• [cs.LG]PCGRL: Procedural Content Generation via Reinforcement Learning
• [cs.LG]Performance Analysis and Comparison of Machine and Deep Learning Algorithms for IoT Data Classification
• [cs.LG]Polygames: Improved Zero Learning
• [cs.LG]Predicting Yield Performance of Parents in Plant Breeding: A Neural Collaborative Filtering Approach
• [cs.LG]Regime Switching Bandits
• [cs.LG]Robust Submodular Minimization with Applications to Cooperative Modeling
• [cs.LG]Rotation, Translation, and Cropping for Zero-Shot Generalization
• [cs.LG]Some Insights into Lifelong Reinforcement Learning Systems
• [cs.LG]Structural Information Learning Machinery: Learning from Observing, Associating, Optimizing, Decoding, and Abstracting
• [cs.LG]TiFL: A Tier-based Federated Learning System
• [cs.LG]Tight Regret Bounds for Noisy Optimization of a Brownian Motion
• [cs.LG]Tractable Reinforcement Learning of Signal Temporal Logic Objectives
• [cs.LG]Uncertainty-based Modulation for Lifelong Learning
• [cs.LG]Variance Reduction with Sparse Gradients
• [cs.MA]Silly rules improve the capacity of agents to learn stable enforcement and compliance behaviors
• [cs.MS]SLEEF: A Portable Vectorized Library of C Standard Mathematical Functions
• [cs.NE]Genetic Programming for Evolving a Front of Interpretable Models for Data Visualisation
• [cs.NE]Neural Autopoiesis: Organizing Self-Boundary by Stimulus Avoidance in Biological and Artificial Neural Networks
• [cs.NE]aiTPR: Attribute Interaction-Tensor Product Representation for Image Caption
• [cs.NI]Machine Learning-aided Design of Thinned Antenna Arrays for Optimized Network Level Performance
• [cs.NI]Multi-operator Network Sharing for Massive IoT
• [cs.RO]A 3D Reactive Navigation Algorithm for Mobile Robots by Using Tentacle-Based Sampling
• [cs.RO]Active Task-Inference-Guided Deep Inverse Reinforcement Learning
• [cs.RO]Cellular Decomposition for Non-repetitive Coverage Task with Minimum Discontinuities
• [cs.RO]Design, Validation, and Case Studies of 2D-VSR-Sim, an Optimization-friendly Simulator of 2-D Voxel-based Soft Robots
• [cs.RO]Experimental Evaluation of Human Motion Prediction: Toward Safe and Efficient Human Robot Collaboration
• [cs.RO]Kidnapped Radar: Topological Radar Localisation using Rotationally-Invariant Metric Learning
• [cs.RO]Learning Constraints from Locally-Optimal Demonstrations under Cost Function Uncertainty
• [cs.RO]Manipulating Deformable Objects by Interleaving Prediction, Planning, and Control
• [cs.RO]Multi-Fingered Grasp Planning via Inference in Deep Neural Networks
• [cs.RO]Vehicle Scheduling Problem
• [cs.SI]A Dynamical Systems Perspective Reveals Coordination in Russian Twitter Operations
• [cs.SI]Efficient Algorithms towards Network Intervention
• [cs.SI]On the fundamental equation of user dynamics and the structure of online social networks
• [cs.SI]Searching for polarization in signed graphs: a local spectral approach
• [cs.SI]Social Centralization and Semantic Collapse: Hyperbolic Embeddings of Networks and Text
• [cs.SI]Social network analysis of electric vehicles adoption: a data-based approach
• [econ.EM]Bayesian Panel Quantile Regression for Binary Outcomes with Correlated Random Effects: An Application on Crime Recidivism in Canada
• [econ.EM]Estimating Marginal Treatment Effects under Unobserved Group Heterogeneity
• [eess.AS]Data Techniques For Online End-to-end Speech Recognition
• [eess.AS]Multi-task Learning for Voice Trigger Detection
• [eess.AS]Multi-task self-supervised learning for Robust Speech Recognition
• [eess.IV]A Novel Generative Neural Approach for InSAR Joint Phase Filtering and Coherence Estimation
• [eess.IV]Deep Learning-based Image Compression with Trellis Coded Quantization
• [eess.IV]Progressively-Growing AmbientGANs For Learning Stochastic Object Models From Imaging Measurements
• [eess.SP]Deep Reinforcement Learning based Blind mmWave MIMO Beam Alignment
• [eess.SP]Efficient and Stable Graph Scattering Transforms via Pruning
• [eess.SP]Identification of Non-Linear RF Systems Using Backpropagation
• [eess.SP]Markov-Chain Monte Carlo Approximation of the Ideal Observer using Generative Adversarial Networks
• [eess.SP]Model-Based Machine Learning for Joint Digital Backpropagation and PMD Compensation
• [eess.SY]Data-Driven Prediction Model of Components Shift during Reflow Process in Surface Mount Technology
• [math.OC]Bilevel Optimization for Differentially Private Optimization
• [math.OC]Optimization of Passive Chip Components Placement with Self-Alignment Effect for Advanced Surface Mounting Technology
• [math.PR]Exact rate of convergence of the mean Wasserstein distance between the empirical and true Gaussian distribution
• [math.ST]Bayesian Shrinkage Estimation of Negative Multinomial Parameter Vectors
• [math.ST]Gaussian-Smooth Optimal Transport: Metric Structure and Statistical Efficiency
• [math.ST]Imputation for High-Dimensional Linear Regression
• [math.ST]On a Nadaraya-Watson Estimator with Two Bandwidths
• [math.ST]On truncated multivariate normal priors in constrained parameter spaces
• [math.ST]The Asymptotic Distribution of the MLE in High-dimensional Logistic Models: Arbitrary Covariance
• [math.ST]The reproducing Stein kernel approach for post-hoc corrected sampling
• [math.ST]Valid distribution-free inferential models for prediction
• [nlin.CG]Elementary Cellular Automata along with delay sensitivity can model communal riot dynamics
• [q-fin.PM]Semi-metric portfolio optimisation: a new algorithm reducing simultaneous asset shocks
• [quant-ph]Temporal Information Processing on Noisy Quantum Computers
• [stat.AP]Behavior Associations in Lone-Actor Terrorists
• [stat.AP]Diagnostics and Visualization of Point Process Models for Event Times on a Social Network
• [stat.AP]Graph link prediction in computer networks using Poisson matrix factorisation
• [stat.CO]Particle-Gibbs Sampling For Bayesian Feature Allocation Models
• [stat.ME]Estimating heterogeneous treatment effects with right-censored data via causal survival forests
• [stat.ME]Inference on extremal dependence in a latent Markov tree model attracted to a Hüsler-Reiss distribution
• [stat.ME]Penalized angular regression for personalized predictions
• [stat.ME]Predictive inference with Fleming—Viot-driven dependent Dirichlet processes
• [stat.ME]Shapley value confidence intervals for variable selection in regression models
• [stat.ME]Shrinkage with Robustness: Log-Adjusted Priors for Sparse Signals
• [stat.ML]A Precision Medicine Approach to Develop and Internally Validate Optimal Exercise and Weight Loss Treatments for Overweight and Obese Adults with Knee Osteoarthritis
• [stat.ML]Learning the Hypotheses Space from data Part I: Learning Space and U-curve Property
• [stat.ML]The role of surrogate models in the development of digital twins of dynamic systems
• [stat.ML]¶ILCRO: Making Importance Landscapes Flat Again
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• [cs
1000
.LG]Bayesian optimization for backpropagation in Monte-Carlo tree search
Yueqin Li, Nengli Lim
http://arxiv.org/abs/2001.09325v1
• [cs.AI]Adaptive Teaching of Temporal Logic Formulas to Learners with Preferences
Zhe Xu, Yuxin Chen, Ufuk Topcu
http://arxiv.org/abs/2001.09956v1
• [cs.AI]Consciousness and Automated Reasoning
Ulrike Barthelmeß, Ulrich Furbach, Claudia Schon
http://arxiv.org/abs/2001.09442v1
• [cs.AI]Explainable Artificial Intelligence and Machine Learning: A reality rooted perspective
Frank Emmert-Streib, Olli Yli-Harja, Matthias Dehmer
http://arxiv.org/abs/2001.09464v1
• [cs.AI]Learning Non-Markovian Reward Models in MDPs
Gavin Rens, Jean-François Raskin
http://arxiv.org/abs/2001.09293v1
• [cs.AI]Long term planning of military aircraft flight and maintenance operations
Franco Peschiera, Olga Battaïa, Alain Haït, Nicolas Dupin
http://arxiv.org/abs/2001.09856v1
• [cs.AI]NLocalSAT: Boosting Local Search with Solution Prediction
Wenjie Zhang, Zeyu Sun, Qihao Zhu, Ge Li, Shaowei Cai, Yingfei Xiong, Lu Zhang
http://arxiv.org/abs/2001.09398v1
• [cs.AI]On Expansion and Contraction of DL-Lite Knowledge Bases
Dmitriy Zheleznyakov, Evgeny Kharlamov, Werner Nutt, Diego Calvanese
http://arxiv.org/abs/2001.09365v1
• [cs.AI]Sentiment and Knowledge Based Algorithmic Trading with Deep Reinforcement Learning
Abhishek Nan, Anandh Perumal, Osmar R. Zaiane
http://arxiv.org/abs/2001.09403v1
• [cs.AI]The SPECIAL-K Personal Data Processing Transparency and Compliance Platform
Sabrina Kirrane, Javier D. Fernández, Piero Bonatti, Uros Milosevic, Axel Polleres, Rigo Wenning
http://arxiv.org/abs/2001.09461v1
• [cs.CL]An Analysis of Word2Vec for the Italian Language
Giovanni Di Gennaro, Amedeo Buonanno, Antonio Di Girolamo, Armando Ospedale, Francesco A. N. Palmieri, Gianfranco Fedele
http://arxiv.org/abs/2001.09332v1
• [cs.CL]An Iterative Approach for Identifying Complaint Based Tweets in Social Media Platforms
Gyanesh Anand, Akash Gautam, Puneet Mathur, Debanjan Mahata, Rajiv Ratn Shah, Ramit Sawhney
http://arxiv.org/abs/2001.09215v1
• [cs.CL]Dual Multi-head Co-attention for Multi-choice Reading Comprehension
Pengfei Zhu, Hai Zhao, Xiaoguang Li
http://arxiv.org/abs/2001.09415v1
• [cs.CL]Efficient, Effective and Well Justified Estimation of Active Nodes within a Cluster
Md Mahmudul Hasan, Shuangqing Wei, Ramachandran Vaidyanathan
http://arxiv.org/abs/2001.09494v1
• [cs.CL]Further Boosting BERT-based Models by Duplicating Existing Layers: Some Intriguing Phenomena inside BERT
Wei-Tsung Kao, Tsung-Han Wu, Po-Han Chi, Chun-Cheng Hsieh, Hung-Yi Lee
http://arxiv.org/abs/2001.09309v1
• [cs.CL]Generating Representative Headlines for News Stories
Xiaotao Gu, Yuning Mao, Jiawei Han, Jialu Liu, Hongkun Yu, You Wu, Cong Yu, Daniel Finnie, Jiaqi Zhai, Nicholas Zukoski
http://arxiv.org/abs/2001.09386v1
• [cs.CL]Intent Classification in Question-Answering Using LSTM Architectures
Giovanni Di Gennaro, Amedeo Buonanno, Antonio Di Girolamo, Armando Ospedale, Francesco A. N. Palmieri
http://arxiv.org/abs/2001.09330v1
• [cs.CL]Learning To Detect Keyword Parts And Whole By Smoothed Max Pooling
Hyun-Jin Park, Patrick Violette, Niranjan Subrahmanya
http://arxiv.org/abs/2001.09246v1
• [cs.CL]PMIndia — A Collection of Parallel Corpora of Languages of India
Barry Haddow, Faheem Kirefu
http://arxiv.org/abs/2001.09907v1
• [cs.CL]Retrospective Reader for Machine Reading Comprehension
Zhuosheng Zhang, Junjie Yang, Hai Zhao
http://arxiv.org/abs/2001.09694v1
• [cs.CL]Scaling Up Online Speech Recognition Using ConvNets
Vineel Pratap, Qiantong Xu, Jacob Kahn, Gilad Avidov, Tatiana Likhomanenko, Awni Hannun, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert
http://arxiv.org/abs/2001.09727v1
• [cs.CL]TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network
Jiaming Shen, Zhihong Shen, Chenyan Xiong, Chi Wang, Kuansan Wang, Jiawei Han
http://arxiv.org/abs/2001.09522v1
• [cs.CL]The POLAR Framework: Polar Opposites Enable Interpretability of Pre-Trained Word Embeddings
Binny Mathew, Sandipan Sikdar, Florian Lemmerich, Markus Strohmaier
http://arxiv.org/abs/2001.09876v1
• [cs.CL]Towards Quantifying the Distance between Opinions
Saket Gurukar, Deepak Ajwani, Sourav Dutta, Juho Lauri, Srinivasan Parthasarathy, Alessandra Sala
http://arxiv.org/abs/2001.09879v1
• [cs.CL]Towards a Human-like Open-Domain Chatbot
Daniel Adiwardana, Minh-Thang Luong, David R. So, Jamie Hall, Noah Fiedel, Romal Thoppilan, Zi Yang, Apoorv Kulshreshtha, Gaurav Nemade, Yifeng Lu, Quoc V. Le
http://arxiv.org/abs/2001.09977v1
• [cs.CL]Unsupervised Extraction of Market Moving Events with Neural Attention
Luciano Del Corro, Johannes Hoffart
http://arxiv.org/abs/2001.09466v1
• [cs.CR]AI-Powered GUI Attack and Its Defensive Methods
Ning Yu, Zachary Tuttle, Carl Jake Thurnau, Emmanuel Mireku
http://arxiv.org/abs/2001.09388v1
• [cs.CR]An Overview of Fingerprint-Based Authentication: Liveness Detection and Beyond
Filipp Demenschonok, Jason Harrigan, Tamara Bonaci
http://arxiv.org/abs/2001.09183v1
• [cs.CR]Distributed systems and trusted execution environments: Trade-offs and challenges
Rafael Pereira Pires
http://arxiv.org/abs/2001.09670v1
• [cs.CR]Survey of Network Intrusion Detection Methods from the Perspective of the Knowledge Discovery in Databases Process
Borja Molina-Coronado, Usue Mori, Alexander Mendiburu, José Miguel-Alonso
http://arxiv.org/abs/2001.09697v1
• [cs.CV]A Branching and Merging Convolutional Network wi
7a4
th Homogeneous Filter Capsules
Adam Byerly, Tatiana Kalganova, Ian Dear
http://arxiv.org/abs/2001.09136v2
• [cs.CV]A Robust Real-Time Computing-based Environment Sensing System for Intelligent Vehicle
Qiwei Xie, Qian Long, Liming Zhang, Zhao Sun
http://arxiv.org/abs/2001.09678v1
• [cs.CV]Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks
Pierre-Henri Conze, Ali Emre Kavur, Emilie Cornec-Le Gall, Naciye Sinem Gezer, Yannick Le Meur, M. Alper Selver, François Rousseau
http://arxiv.org/abs/2001.09521v1
• [cs.CV]Brain Metastasis Segmentation Network Trained with Robustness to Annotations with Multiple False Negatives
Darvin Yi, Endre Grøvik, Michael Iv, Elizabeth Tong, Greg Zaharchuk, Daniel Rubin
http://arxiv.org/abs/2001.09501v1
• [cs.CV]Convolution Neural Network Architecture Learning for Remote Sensing Scene Classification
Jie Chen, Haozhe Huang, Jian Peng, Jiawei Zhu, Li Chen, Wenbo Li, Binyu Sun, Haifeng Li
http://arxiv.org/abs/2001.09614v1
• [cs.CV]Crowd Scene Analysis by Output Encoding
Yao Xue, Siming Liu, Yonghui Li, Xueming Qian
http://arxiv.org/abs/2001.09556v1
• [cs.CV]Curriculum Audiovisual Learning
Di Hu, Zheng Wang, Haoyi Xiong, Dong Wang, Feiping Nie, Dejing Dou
http://arxiv.org/abs/2001.09414v1
• [cs.CV]DRMIME: Differentiable Mutual Information and Matrix Exponential for Multi-Resolution Image Registration
Abhishek Nan, Matthew Tennant, Uriel Rubin, Nilanjan Ray
http://arxiv.org/abs/2001.09865v1
• [cs.CV]Depthwise-STFT based separable Convolutional Neural Networks
Sudhakar Kumawat, Shanmuganathan Raman
http://arxiv.org/abs/2001.09912v1
• [cs.CV]EEG fingerprinting: subject specific signature based on the aperiodic component of power spectrum
Matteo Demuru, Matteo Fraschini
http://arxiv.org/abs/2001.09424v1
• [cs.CV]End-to-End Vision-Based Adaptive Cruise Control (ACC) Using Deep Reinforcement Learning
Zhensong Wei, Yu Jiang, Xishun Liao, Xuewei Qi, Ziran Wang, Guoyuan Wu, Peng Hao, Matthew Barth
http://arxiv.org/abs/2001.09181v1
• [cs.CV]Explaining with Counter Visual Attributes and Examples
Sadaf Gulshad, Arnold Smeulders
http://arxiv.org/abs/2001.09671v1
• [cs.CV]FakeLocator: Robust Localization of GAN-Based Face Manipulations via Semantic Segmentation Networks with Bells and Whistles
Yihao Huang, Felix Juefei-Xu, Run Wang, Xiaofei Xie, Lei Ma, Jianwen Li, Weikai Miao, Yang Liu, Geguang Pu
http://arxiv.org/abs/2001.09598v1
• [cs.CV]GEDDnet: A Network for Gaze Estimation with Dilation and Decomposition
Zhaokang Chen, Bertram E. Shi
http://arxiv.org/abs/2001.09284v1
• [cs.CV]Handling noise in image deblurring via joint learning
Si Miao, Yongxin Zhu
http://arxiv.org/abs/2001.09730v1
• [cs.CV]Learning Canonical Shape Space for Category-Level 6D Object Pose and Size Estimation
Dengsheng Chen, Jun Li, Kai Xu
http://arxiv.org/abs/2001.09322v1
• [cs.CV]Learning Preference-Based Similarities from Face Images using Siamese Multi-Task CNNs
Nils Gessert, Alexander Schlaefer
http://arxiv.org/abs/2001.09371v1
• [cs.CV]Learning a distance function with a Siamese network to localize anomalies in videos
Bharathkumar Ramachandra, Michael J. Jones, Ranga Raju Vatsavai
http://arxiv.org/abs/2001.09189v1
• [cs.CV]Look Closer to Ground Better: Weakly-Supervised Temporal Grounding of Sentence in Video
Zhenfang Chen, Lin Ma, Wenhan Luo, Peng Tang, Kwan-Yee K. Wong
http://arxiv.org/abs/2001.09308v1
• [cs.CV]Modular network for high accuracy object detection
Erez Yahalomi
http://arxiv.org/abs/2001.09203v1
• [cs.CV]Multi-Modal Domain Adaptation for Fine-Grained Action Recognition
Jonathan Munro, Dima Damen
http://arxiv.org/abs/2001.09691v1
• [cs.CV]Near real-time map building with multi-class image set labelling and classification of road conditions using convolutional neural networks
Sheela Ramanna, Cenker Sengoz, Scott Kehler, Dat Pham
http://arxiv.org/abs/2001.09947v1
• [cs.CV]On the Role of Receptive Field in Unsupervised Sim-to-Real Image Translation
Nikita Jaipuria, Shubh Gupta, Praveen Narayanan, Vidya N. Murali
http://arxiv.org/abs/2001.09257v1
• [cs.CV]PSC-Net: Learning Part Spatial Co-occurence for Occluded Pedestrian Detection
Jin Xie, Yanwei Pang, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Ling Shao
http://arxiv.org/abs/2001.09252v1
• [cs.CV]Practical Fast Gradient Sign Attack against Mammographic Image Classifier
Ibrahim Yilmaz
http://arxiv.org/abs/2001.09610v1
• [cs.CV]SDOD:Real-time Segmenting and Detecting 3D Objects by Depth
Caiyi Xu, Jianping Xing, Yafei Ning, Yonghong Chen, Yong Wu
http://arxiv.org/abs/2001.09425v1
• [cs.CV]Scene Text Recognition With Finer Grid Rectification
Gang Wang
http://arxiv.org/abs/2001.09389v1
• [cs.CV]Temporal Pulses Driven Spiking Neural Network for Fast Object Recognition in Autonomous Driving
Wei Wang, Shibo Zhou, Jingxi Li, Xiaohua Li, Junsong Yuan, Zhanpeng Jin
http://arxiv.org/abs/2001.09220v1
• [cs.CV]The Whole Is Greater Than the Sum of Its Nonrigid Parts
Oshri Halimi, Ido Imanuel, Or Litany, Giovanni Trappolini, Emanuele Rodolà, Leonidas Guibas, Ron Kimmel
http://arxiv.org/abs/2001.09650v1
• [cs.CV]Unconstrained Biometric Recognition: Summary of Recent SOCIA Lab. Research
Varsha Balakrishnan
http://arxiv.org/abs/2001.09703v1
• [cs.CV]Unsupervised Disentanglement of Pose, Appearance and Background from Images and Videos
Aysegul Dundar, Kevin J. Shih, Animesh Garg, Robert Pottorf, Andrew Tao, Bryan Catanzaro
http://arxiv.org/abs/2001.09518v1
• [cs.CV]Using Simulated Data to Generate Images of Climate Change
Gautier Cosne, Adrien Juraver, Mélisande Teng, Victor Schmidt, Vahe Vardanyan, Alexandra Luccioni, Yoshua Bengio
http://arxiv.org/abs/2001.09531v1
• [cs.CV]VerSe: A Vertebrae Labelling and Segmentation Benchmark
Anjany Sekuboyina, Amirhossein Bayat, Malek E. Husseini, Maximilian Löffler, Markus Rempfler, Jan Kukačka, Giles Tetteh, Alexander Valentinitsch, Christian Payer, Martin Urschler, Maodong Chen, Dalong Cheng, Nikolas Lessmann, Yujin Hu, Tianfu Wang, Dong Yang, Daguang Xu, Felix Ambellan, Stefan Zachowk, Tao Jiang, Xinjun Ma, Christoph Angerman, Xin Wang, Qingyue Wei, Kevin Brown, Matthias Wolf, Alexandre Kirszenberg, Élodie Puybareauq, Björn H. Menze, Jan S. Kirschke
http://arxiv.org/abs/2001.09193v1
• [cs.CV]Visualisation of Medical Image Fusion and Translation for Accurate Diagnosis of High Grade Gliomas
Nishant Kumar, Nico Hoffmann, Matthias Kirsch, Stefan Gumhold
http://arxiv.org/abs/2001.09535v1
• [cs.CV]Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Inputs
Mennatullah Siam, Naren Doraiswamy, Boris N. Oreshkin, Hengshuai Yao, Martin Jagersand
http://arxiv.org/abs/2001.09540v1
• [cs.CV]Weakly Supervised Lesion Co-segmentation on CT Scans
Vatsal Agarwal, Youbao Tang, Jing Xiao, Ronald M. Summers
http://arxiv.org/abs/2001.09174v1
• [cs.CV]e-UDA: Efficient Unsupervised Domain Adaptation for Cross-Site Medical Image Segmentation
Hongwei Li, Timo Loehr, Benedikt Wiestler, Jianguo Zhang, Bjoern Menze
http://arxiv.org/abs/2001.09313v1
• [cs.CY]Block the blocker: Studying the effects of Anti Ad-blocking
Rohit Gupta, Rohit Panda
http://arxiv.org/abs/2001.09434v1
• [cs.CY]Case Study: Predictive Fairness to Reduce Misdemeanor Recidivism Through Social Service Interventions
Kit T. Rodolfa, Erika Salomon, Lauren Haynes, Ivan Higuera Mendieta, Jamie Larson, Rayid Ghani
http://arxiv.org/abs/2001.09233v1
• [cs.CY]Information Credibility in the Social Web: Contexts, Approaches, and Open Issues
Gabriella Pasi, Marco Viviani
http://arxiv.org/abs/2001.09473v1
• [cs.CY]Secondary Use of Electronic Health Record: Opportunities and Challenges
Shahid Munir Shah, Rizwan Ahmed Khan
http://arxiv.org/abs/2001.09479v1
• [cs.CY]Ten Social Dimensions of Conversations and Relationships
Minje Choi, Luca Maria Aiello, Krisztian Zsolt Varga, Daniele Quercia
http://arxiv.org/abs/2001.09954v1
• [cs.CY]The Effects of Gender Signals and Performance in Online Product Reviews
Sandipan Sikdar, Rachneet Singh Sachdeva, Johannes Wachs, Florian Lemmerich, Markus Strohmaier
http://arxiv.org/abs/2001.09955v1
• [cs.DC]A Proof of Useful Work for Artificial Intelligence on the Blockchain
Andrei Lihu, Jincheng Du, Igor Barjaktarevic, Patrick Gerzanics, Mark Harvilla
http://arxiv.org/abs/2001.09244v1
• [cs.DC]A Visual Analytics Framework for Reviewing Streaming Performance Data
Suraj P. Kesavan, Takanori Fujiwara, Jianping Kelvin Li, Caitlin Ross, Misbah Mubarak, Christopher D. Carothers, Robert B. Ross, Kwan-Liu Ma
http://arxiv.org/abs/2001.09399v1
• [cs.DC]Context-aware Distribution of Fog Applications Using Deep Reinforcement Learning
Nan Wang, Blesson Varghese
http://arxiv.org/abs/2001.09228v1
• [cs.DC]GeoRocket: A scalable and cloud-based data store for big geospatial files
Michel Krämer
http://arxiv.org/abs/2001.09329v1
• [cs.DC]Hermes: a Fast, Fault-Tolerant and Linearizable Replication Protocol
A. Katsarakis, V. Gavrielatos, M. Katebzadeh, A. Joshi, A. Dragojevic, B. Grot, V. Nagarajan
http://arxiv.org/abs/2001.09804v1
• [cs.DC]Interoperable GPU Kernels as Latency Improver for MEC
Juuso Haavisto, Jukka Riekki
http://arxiv.org/abs/2001.09352v1
• [cs.DC]Load-Balanced Bottleneck Objectives in Process Mapping
Johannes Langguth, Sebastian Schlag, Christian Schulz
http://arxiv.org/abs/2001.09645v1
• [cs.DC]Reinforcement Learning-based Autoscaling of Workflows in the Cloud: A Survey
Yisel Garí, David A. Monge, Elina Pacini, Cristian Mateos, Carlos García Garino
http://arxiv.org/abs/2001.09957v1
• [cs.HC]Explainable Active Learning (XAL): An Empirical Study of How Local Explanations Impact Annotator Experience
Bhavya Ghai, Q. Vera Liao, Yunfeng Zhang, Rachel Bellamy, Klaus Mueller
http://arxiv.org/abs/2001.09219v1
• [cs.HC]Gesticulator: A framework for semantically-aware speech-driven gesture generation
Taras Kucherenko, Patrik Jonell, Sanne van Waveren, Gustav Eje Henter, Simon Alexanderson, Iolanda Leite, Hedvig Kjellström
http://arxiv.org/abs/2001.09326v1
• [cs.HC]Machine Learning for a Music Glove Instrument
Joseph Bakarji
http://arxiv.org/abs/2001.09551v1
• [cs.HC]What’s happened in MOOC Posts Analysis, Knowledge Tracing and Peer Feedbacks? A Review
Manikandan Ravikiran
http://arxiv.org/abs/2001.09830v1
• [cs.IR]Estimating Error and Bias in Offline Evaluation Results
Mucun Tian, Michael D. Ekstrand
http://arxiv.org/abs/2001.09455v1
• [cs.IR]The side effect profile of Clozapine in real world data of three large mental hospitals
Ehtesham Iqbal, Risha Govind, Alvin Romero, Olubanke Dzahini, Matthew Broadbent, Robert Stewart, Tanya Smith, Chi-Hun Kim, Nomi Werbeloff, Richard Dobson, Zina Ibrahim
http://arxiv.org/abs/2001.09698v1
• [cs.IT]A Semi-Linear Approximation of the First-Order Marcum $Q$-function with Application to Predictor Antenna Systems
Hao Guo, Behrooz Makki, Mohamed-Slim Alouini, Tommy Svensson
http://arxiv.org/abs/2001.09264v1
• [cs.IT]A generalization of the $α$-divergences based on comparable and distinct weighted means
Frank Nielsen
http://arxiv.org/abs/2001.09660v1
• [cs.IT]A tutorial on the range variant of asymmetric numeral systems
James Townsend
http://arxiv.org/abs/2001.09186v1
• [cs.IT]Cognitive Radio Networks: An Information Theoretic Perspective
Mojtaba Vaezi
http://arxiv.org/abs/2001.09261v1
• [cs.IT]Compressed Sensing with 1D Total Variation: Breaking Sample Complexity Barriers via Non-Uniform Recovery
Martin Genzel, Maximilian März, Robert Seidel
http://arxiv.org/abs/2001.09952v1
• [cs.IT]Computing the Feedback Capacity of Finite State Channels using Reinforcement Learning
Ziv Aharoni, Oron Sabag, Haim Henry Permuter
http://arxiv.org/abs/2001.09685v1
• [cs.IT]Coordinating Complementary Waveforms for Suppressing Range Sidelobes in a Doppler Band
Wenbing Dang, Ali Pezeshki, Stephen D. Howard, William Moran, Robert Calderbank
http://arxiv.org/abs/2001.09397v1
• [cs.IT]Dihedral group codes over finite fields
Yun Fan, Liren Lin
http://arxiv.org/abs/2001.09402v1
• [cs.IT]Distributed Sensing with Orthogonal Multiple Access: To code or not to Code?
Yunquan Dong
http://arxiv.org/abs/2001.09594v1
• [cs.IT]Extreme URLLC: Vision, Challenges, and Key Enablers
Jihong Park, Sumudu Samarakoon, Hamid Shiri, Mohamed K. Abdel-Aziz, Takayuki Nishio, Anis Elgabli, Mehdi Bennis
http://arxiv.org/abs/2001.09683v1
• [cs.IT]Max-Min Fair Wireless-Powered Cell-Free Massive MIMO for Uncorrelated Rician Fading Channels
Özlem Tuğfe Demir, Emil Björnson
http://arxiv.org/abs/2001.09296v1
• [cs.IT]Optimal Sampling and Scheduling for Timely Status Updates in Multi-source Networks
Ahmed M. Bedewy, Yin Sun, Sastry Kompella, Ness B. Shroff
http://arxiv.org/abs/2001.09863v1
• [cs.IT]Optimal Selective Encoding for Timely Updates
Melih Bastopcu, Baturalp Buyukates, Sennur Ulukus
http://arxiv.org/abs/2001.09975v1
• [cs.IT]Parallel Factor Decomposition Channel Estimation in RIS-Assisted Multi-User MISO Communication
Li Wei, Chongwen Huang, George C. Alexandropoulos, Chau Yuen
http://arxiv.org/abs/2001.09413v1
• [cs.IT]Robust Gaussian Joint Source-Channel Coding with a Staircase Distortion-Noise Profile
Mohammadamin Baniasadi
http://arxiv.org/abs/2001.09370v1
• [cs.LG]A Lagrangian Dual Framework for Deep Neural Networks with Constraints
Ferdinando Fioretto, Terrence WK Mak, Federico Baldo, Michele Lombardi, Pascal Van Hentenryck
http://arxiv.org/abs/2001.09394v1
• [cs.LG]An interpretable semi-supervised classifier using two different strategies for amended self-labeling
Isel Grau, Dipankar Sengupta, Maria M. Garcia Lorenzo, Ann Nowe
http://arxiv.org/abs/2001.09502v1
• [cs.LG]Bayesian nonparametric shared multi-sequence time series segmentation
Olga Mikheeva, Ieva Kazlauskaite, Hedvig Kjellström, Carl Henrik Ek
http://arxiv.org/abs/2001.09886v1
• [cs.LG]Boosted and Differentially Private Ensembles of Decision Trees
Richard Nock, Wilko Henecka
http://arxiv.org/abs/2001.09384v1
• [cs.LG]COR-GAN: Correlation-Capturing Convolutional Neural Networks for Generating Synthetic Healthcare Records
Amirsina Torfi, Edward A. Fox
http://arxiv.org/abs/2001.09346v1
• [cs.LG]Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning
Inaam Ilahi, Muhammad Usama, Junaid Qadir, Muhammad Umar Janjua, Ala Al-Fuqaha, Dinh Thai Hoang, Dusit Niyato
http://arxiv.org/abs/2001.09684v1
• [cs.LG]Comprehensive Analysis of Time Series Forecasting Using Neural Networks
Manie Tadayon, Yumi Iwashita
http://arxiv.org/abs/2001.09547v1
• [cs.LG]Constrained Upper Confidence Reinforcement Learning
Liyuan Zheng, Lillian J. Ratliff
http://arxiv.org/abs/2001.09377v1
• [cs.LG]DP-CGAN: Differentially Private Synthetic Data and Label Generation
Reihaneh Torkzadehmahani, Peter Kairouz, Benedict Paten
http://arxiv.org/abs/2001.09700v1
• [cs.LG]Deep Graph Matching Consensus
Matthias Fey, Jan E. Lenssen, Christopher Morris, Jonathan Masci, Nils M. Kriege
http://arxiv.org/abs/2001.09621v1
• [cs.LG]Detection of Thin Boundaries between Different Types of Anomalies in Outlier Detection using Enhanced Neural Networks
Rasoul Kiani, Amin Keshavarzi, Mahdi Bohlouli
http://arxiv.org/abs/2001.09209v1
• [cs.LG]Developing Multi-Task Recommendations with Long-Term Rewards via Policy Distilled Reinforcement Learning
Xi Liu, Li Li, Ping-Chun Hsieh, Muhe Xie, Yong Ge, Rui Chen
http://arxiv.org/abs/2001.09595v1
• [cs.LG]Ensemble Noise Simulation to Handle Uncertainty about Gradient-based Adversarial Attacks
Rehana Mahfuz, Rajeev Sahay, Aly El Gamal
http://arxiv.org/abs/2001.09486v1
• [cs.LG]Estimation of high frequency nutrient concentrations from water quality surrogates using machine learning methods
María Castrillo, Álvaro López García
http://arxiv.org/abs/2001.09695v1
• [cs.LG]Exploiting Unsupervised Inputs for Accurate Few-Shot Classification
Yuqing Hu, Vincent Gripon, Stéphane Pateux
http://arxiv.org/abs/2001.09849v1
• [cs.LG]Feature selection in machine learning: Rényi min-entropy vs Shannon entropy
Catuscia Palamidessi, Marco Romanelli
http://arxiv.org/abs/2001.09654v1
• [cs.LG]Following Instructions by Imagining and Reaching Visual Goals
John Kanu, Eadom Dessalene, Xiaomin Lin, Cornelia Fermuller, Yiannis Aloimonos
http://arxiv.org/abs/2001.09373v1
• [cs.LG]GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation
Chence Shi, Minkai Xu, Zhaocheng Zhu, Weinan Zhang, Ming Zhang, Jian Tang
http://arxiv.org/abs/2001.09382v1
• [cs.LG]Heterogeneous Learning from Demonstration
Rohan Paleja, Matthew Gombolay
http://arxiv.org/abs/2001.09569v1
• [cs.LG]Imperfect ImaGANation: Implications of GANs Exacerbating Biases on Facial Data Augmentation and Snapchat Selfie Lenses
Niharika Jain, Alberto Olmo, Sailik Sengupta, Lydia Manikonda, Subbarao Kambhampati
http://arxiv.org/abs/2001.09528v1
• [cs.LG]Improper Learning for Non-Stochastic Control
Max Simchowitz, Karan Singh, Elad Hazan
http://arxiv.org/abs/2001.09254v1
• [cs.LG]Inference in Multi-Layer Networks with Matrix-Valued Unknowns
Parthe Pandit, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter, Alyson K. Fletcher
http://arxiv.org/abs/2001.09396v1
• [cs.LG]LiteMORT: A memory efficient gradient boosting tree system on adaptive compact distributions
Yingshi Chen
http://arxiv.org/abs/2001.09419v1
• [cs.LG]Multimodal Data Fusion based on the Global Workspace Theory
Cong Bao, Zafeirios Fountas, Temitayo Olugbade, Nadia Bianchi-Berthouze
http://arxiv.org/abs/2001.09485v1
• [cs.LG]Naive Exploration is Optimal for Online LQR
Max Simchowitz, Dylan J. Foster
http://arxiv.org/abs/2001.09576v1
• [cs.LG]On the Fairness of Randomized Trials for Recommendation With Heterogeneous Demographics and Beyond
Zifeng Wang, Xi Chen, Rui Wen, Shao-Lun Huang
http://arxiv.org/abs/2001.09328v1
• [cs.LG]One Explanation Does Not Fit All: The Promise of Interactive Explanations for Machine Learning Transparency
Kacper Sokol, Peter Flach
http://arxiv.org/abs/2001.09734v1
• [cs.LG]PCGRL: Procedural Content Generation via Reinforcement Learning
Ahmed Khalifa, Philip Bontrager, Sam Earle, Julian Togelius
http://arxiv.org/abs/2001.09212v1
• [cs.LG]Performance Analysis and Comparison of Machine and Deep Learning Algorithms for IoT Data Classification
Meysam Vakili, Mohammad Ghamsari, Masoumeh Rezaei
http://arxiv.org/abs/2001.09636v1
• [cs.LG]Polygames: Improved Zero Learning
Tristan Cazenave, Yen-Chi Chen, Guan-Wei Chen, Shi-Yu Chen, Xian-Dong Chiu, Julien Dehos, Maria Elsa, Qucheng Gong, Hengyuan Hu, Vasil Khalidov, Cheng-Ling Li, Hsin-I Lin, Yu-Jin Lin, Xavier Martinet, Vegard Mella, Jeremy Rapin, Baptiste Roziere, Gabriel Synnaeve, Fabien Teytaud, Olivier Teytaud, Shi-Cheng Ye, Yi-Jun Ye, Shi-Jim Yen, Sergey Zagoruyko
http://arxiv.org/abs/2001.09832v1
• [cs.LG]Predicting Yield Performance of Parents in Plant Breeding: A Neural Collaborative Filtering Approach
Saeed Khaki, Zahra Khalilzadeh, Lizhi Wang
http://arxiv.org/abs/2001.09902v1
• [cs.LG]Regime Switching Bandits
Xiang Zhou, Ningyuan Chen, Xuefeng Gao, Yi Xiong
http://arxiv.org/abs/2001.09390v1
• [cs.LG]Robust Submodular Minimization with Applications to Cooperative Modeling
Rishabh Iyer
http://arxiv.org/abs/2001.09360v1
• [cs.LG]Rotation, Translation, and Cropping for Zero-Shot Generalization
Chang Ye, Ahmed Khalifa, Philip Bontrager, Julian Togelius
http://arxiv.org/abs/2001.09908v1
• [cs.LG]Some Insights into Lifelong Reinforcement Learning Systems
Changjian Li
http://arxiv.org/abs/2001.09608v1
• [cs.LG]Structural Information Learning Machinery: Learning from Observing, Associating, Optimizing, Decoding, and Abstracting
Angsheng Li
http://arxiv.org/abs/2001.09637v1
• [cs.LG]TiFL: A Tier-based Federated Learning System
Zheng Chai, Ahsan Ali, Syed Zawad, Stacey Truex, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Heiko Ludwig, Feng Yan, Yue Cheng
http://arxiv.org/abs/2001.09249v1
• [cs.LG]Tight Regret Bounds for Noisy Optimization of a Brownian Motion
Zexin Wang, Vincent Y. F. Tan, Jonathan Scarlett
http://arxiv.org/abs/2001.09327v1
• [cs.LG]Tractable Reinforcement Learning of Signal Temporal Logic Objectives
Harish Venkataraman, Derya Aksaray, Peter Seiler
http://arxiv.org/abs/2001.09467v1
• [cs.LG]Uncertainty-based Modulation for Lifelong Learning
Andrew Brna, Ryan Brown, Patrick Connolly, Stephen Simons, Renee Shimizu, Mario Aguilar-Simon
http://arxiv.org/abs/2001.09822v1
• [cs.LG]Variance Reduction with Sparse Gradients
Melih Elibol, Lihua Lei, Michael I. Jordan
http://arxiv.org/abs/2001.09623v1
• [cs.MA]Silly rules improve the capacity of agents to learn stable enforcement and compliance behaviors
Raphael Köster, Dylan Hadfield-Menell, Gillian K. Hadfield, Joel Z. Leibo
http://arxiv.org/abs/2001.09318v1
• [cs.MS]SLEEF: A Portable Vectorized Library of C Standard Mathematical Functions
Naoki Shibata, Francesco Petrogalli
http://arxiv.org/abs/2001.09258v1
• [cs.NE]Genetic Programming for Evolving a Front of Interpretable Models for Data Visualisation
Andrew Lensen, Bing Xue, Mengjie Zhang
http://arxiv.org/abs/2001.09578v1
• [cs.NE]Neural Autopoiesis: Organizing Self-Boundary by Stimulus Avoidance in Biological and Artificial Neural Networks
Atsushi Masumori, Lana Sinapayen, Norihiro Maruyama, Takeshi Mita, Douglas Bakkum, Urs Frey, Hirokazu Takahashi, Takashi Ikegami
http://arxiv.org/abs/2001.09641v1
• [cs.NE]aiTPR: Attribute Interaction-Tensor Product Representation for Image Caption
Chiranjib Sur
http://arxiv.org/abs/2001.09545v1
• [cs.NI]Machine Learning-aided Design of Thinned Antenna Arrays for Optimized Network Level Performance
Mattia Lecci, Paolo Testolina, Mattia Rebato, Alberto Testolin, Michele Zorzi
http://arxiv.org/abs/2001.09335v1
• [cs.NI]Multi-operator Network Sharing for Massive IoT
Yong Xiao, Marwan Krunz, Tao Shu
http://arxiv.org/abs/2001.09276v1
• [cs.RO]A 3D Reactive Navigation Algorithm for Mobile Robots by Using Tentacle-Based Sampling
Neşet Ünver Akmandor, Taşkın Padır
http://arxiv.org/abs/2001.09199v1
• [cs.RO]Active Task-Inference-Guided Deep Inverse Reinforcement Learning
Farzan Memarian, Zhe Xu, Bo Wu, Min Wen, Ufuk Topcu
http://arxiv.org/abs/2001.09227v1
• [cs.RO]Cellular Decomposition for Non-repetitive Coverage Task with Minimum Discontinuities
Tong Yang, Jaime Valls Miro, Qianen Lai, Yue Wang, Rong Xiong
http://arxiv.org/abs/2001.09577v1
• [cs.RO]Design, Validation, and Case Studies of 2D-VSR-Sim, an Optimization-friendly Simulator of 2-D Voxel-based Soft Robots
Eric Medvet, Alberto Bartoli, Andrea De Lorenzo, Stefano Seriani
http://arxiv.org/abs/2001.08617v2
• [cs.RO]Experimental Evaluation of Human Motion Prediction: Toward Safe and Efficient Human Robot Collaboration
Weiye Zhao, Liting Sun, Changliu Liu, Masayoshi Tomizuka
http://arxiv.org/abs/2001.09550v1
• [cs.RO]Kidnapped Radar: Topological Radar Localisation using Rotationally-Invariant Metric Learning
Ştefan Săftescu, Matthew Gadd, Daniele De Martini, Dan Barnes, Paul Newman
http://arxiv.org/abs/2001.09438v1
• [cs.RO]Learning Constraints from Locally-Optimal Demonstrations under Cost Function Uncertainty
Glen Chou, Necmiye Ozay, Dmitry Berenson
http://arxiv.org/abs/2001.09336v1
• [cs.RO]Manipulating Deformable Objects by Interleaving Prediction, Planning, and Control
Dale McConachie, Andrew Dobson, Mengyao Ruan, Dmitry Berenson
http://arxiv.org/abs/2001.09950v1
• [cs.RO]Multi-Fingered Grasp Planning via Inference in Deep Neural Networks
Qingkai Lu, Mark Van der Merwe, Balakumar Sundaralingam, Tucker Hermans
http://arxiv.org/abs/2001.09242v1
• [cs.RO]Vehicle Scheduling Problem
Mirmojtaba Gharibi, Steven L. Waslander, Raouf Boutaba
http://arxiv.org/abs/2001.09297v1
• [cs.SI]A Dynamical Systems Perspective Reveals Coordination in Russian Twitter Operations
Sarah Rajtmajer, Ashish Simhachalam, Thomas Zhao, Brady Bickel, Christopher Griffin
http://arxiv.org/abs/2001.08816v2
• [cs.SI]Efficient Algorithms towards Network Intervention
Hui-Ju Hung, Wang-Chien Lee, De-Nian Yang, Chih-Ya Shen, Zhen Lei, Sy-Miin Chow
http://arxiv.org/abs/2001.09961v1
• [cs.SI]On the fundamental equation of user dynamics and the structure of online social networks
Masaki Aida, Chisa Takano, Masaki Ogura
http://arxiv.org/abs/2001.09484v1
• [cs.SI]Searching for polarization in signed graphs: a local spectral approach
Han Xiao, Bruno Ordozgoiti, Aristides Gionis
http://arxiv.org/abs/2001.09410v1
• [cs.SI]Social Centralization and Semantic Collapse: Hyperbolic Embeddings of Networks and Text
Linzhuo Li, Lingfei Wu, James Allen Evans
http://arxiv.org/abs/2001.09493v1
• [cs.SI]Social network analysis of electric vehicles adoption: a data-based approach
V. Breschi, M. Tanelli, C. Ravazzi, S. Strada, F. Dabbene
http://arxiv.org/abs/2001.09704v1
• [econ.EM]Bayesian Panel Quantile Regression for Binary Outcomes with Correlated Random Effects: An Application on Crime Recidivism in Canada
Georges Bresson, Guy Lacroix, Mohammad Arshad Rahman
http://arxiv.org/abs/2001.09295v1
• [econ.EM]Estimating Marginal Treatment Effects under Unobserved Group Heterogeneity
Tadao Hoshino, Takahide Yanagi
http://arxiv.org/abs/2001.09560v1
• [eess.AS]Data Techniques For Online End-to-end Speech Recognition
Yang Chen, Weiran Wang, I-Fan Chen, Chao Wang
http://arxiv.org/abs/2001.09221v1
• [eess.AS]Multi-task Learning for Voice Trigger Detection
Siddharth Sigtia, Pascal Clark, Rob Haynes, Hywel Richards, John Bridle
http://arxiv.org/abs/2001.09519v1
• [eess.AS]Multi-task self-supervised learning for Robust Speech Recognition
Mirco Ravanelli, Jianyuan Zhong, Santiago Pascual, Pawel Swietojanski, Joao Monteiro, Jan Trmal, Yoshua Bengio
http://arxiv.org/abs/2001.09239v1
• [eess.IV]A Novel Generative Neural Approach for InSAR Joint Phase Filtering and Coherence Estimation
Subhayan Mukherjee, Aaron Zimmer, Xinyao Sun, Parwant Ghuman, Irene Cheng
http://arxiv.org/abs/2001.09631v1
• [eess.IV]Deep Learning-based Image Compression with Trellis Coded Quantization
Binglin Li, Mohammad Akbari, Jie Liang, Yang Wang
http://arxiv.org/abs/2001.09417v1
• [eess.IV]Progressively-Growing AmbientGANs For Learning Stochastic Object Models From Imaging Measurements
Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Hua Li, Mark A. Anastasio
http://arxiv.org/abs/2001.09523v1
• [eess.SP]Deep Reinforcement Learning based Blind mmWave MIMO Beam Alignment
Vishnu Raj, Sheetal Kalyani
http://arxiv.org/abs/2001.09251v1
• [eess.SP]Efficient and Stable Graph Scattering Transforms via Pruning
Vassilis N. Ioannidis, Siheng Chen, Georgios B. Giannakis
http://arxiv.org/abs/2001.09882v1
• [eess.SP]Identification of Non-Linear RF Systems Using Backpropagation
Andreas Toftegaard Kristensen, Andreas Burg, Alexios Balatsoukas-Stimming
http://arxiv.org/abs/2001.09877v1
• [eess.SP]Markov-Chain Monte Carlo Approximation of the Ideal Observer using Generative Adversarial Networks
Weimin Zhou, Mark A. Anastasio
http://arxiv.org/abs/2001.09526v1
• [eess.SP]Model-Based Machine Learning for Joint Digital Backpropagation and PMD Compensation
Christian Häger, Henry D. Pfister, Rick M. Bütler, Gabriele Liga, Alex Alvarado
http://arxiv.org/abs/2001.09277v1
• [eess.SY]Data-Driven Prediction Model of Components Shift during Reflow Process in Surface Mount Technology
Irandokht Parviziomran, Shun Cao, Krishnaswami Srihari, Daehan Won
http://arxiv.org/abs/2001.09619v1
• [math.OC]Bilevel Optimization for Differentially Private Optimization
Ferdinando Fioretto, Terrence WK Mak, Pascal Van Hentenryck
http://arxiv.org/abs/2001.09508v1
• [math.OC]Optimization of Passive Chip Components Placement with Self-Alignment Effect for Advanced Surface Mounting Technology
Irandokht Parviziomran, Shun Cao, Haeyong Yang, Seungbae Park, Daehan Won
http://arxiv.org/abs/2001.09612v1
• [math.PR]Exact rate of convergence of the mean Wasserstein distance between the empirical and true Gaussian distribution
Philippe Berthet, Jean-Claude Fort
http://arxiv.org/abs/2001.09817v1
• [math.ST]Bayesian Shrinkage Estimation of Negative Multinomial Parameter Vectors
Yasuyuki Hamura, Tatsuya Kubokawa
http://arxiv.org/abs/2001.09602v1
• [math.ST]Gaussian-Smooth Optimal Transport: Metric Structure and Statistical Efficiency
Ziv Goldfeld, Kristjan Greenewald
http://arxiv.org/abs/2001.09206v1
• [math.ST]Imputation for High-Dimensional Linear Regression
Kabir Aladin Chandrasekher, Ahmed El Alaoui, Andrea Montanari
http://arxiv.org/abs/2001.09180v1
• [math.ST]On a Nadaraya-Watson Estimator with Two Bandwidths
Fabienne Comte, Nicolas Marie
http://arxiv.org/abs/2001.09445v1
• [math.ST]On truncated multivariate normal priors in constrained parameter spaces
Shuang Zhou, Pallavi Ray, Debdeep Pati, Anirban Bhattacharya
http://arxiv.org/abs/2001.09391v1
• [math.ST]The Asymptotic Distribution of the MLE in High-dimensional Logistic Models: Arbitrary Covariance
Qian Zhao, Pragya Sur, Emmanuel J. Candès
http://arxiv.org/abs/2001.09351v1
• [math.ST]The reproducing Stein kernel approach for post-hoc corrected sampling
Liam Hodgkinson, Robert Salomone, Fred Roosta
http://arxiv.org/abs/2001.09266v1
• [math.ST]Valid distribution-free inferential models for prediction
Leonardo Cella, Ryan Martin
http://arxiv.org/abs/2001.09225v1
• [nlin.CG]Elementary Cellular Automata along with delay sensitivity can model communal riot dynamics
Souvik Roy, Abhik Mukherjee, Sukanta Das
http://arxiv.org/abs/2001.09265v1
• [q-fin.PM]Semi-metric portfolio optimisation: a new algorithm reducing simultaneous asset shocks
Nick James, Max Menzies, Jennifer Chan
http://arxiv.org/abs/2001.09404v1
• [quant-ph]Temporal Information Processing on Noisy Quantum Computers
Jiayin Chen, Hendra I. Nurdin, Naoki Yamamoto
http://arxiv.org/abs/2001.09498v1
• [stat.AP]Behavior Associations in Lone-Actor Terrorists
Ayca Altay, Melike Baykal-Gürsoy, Pernille Hemmer
http://arxiv.org/abs/2001.09945v1
• [stat.AP]Diagnostics and Visualization of Point Process Models for Event Times on a Social Network
Jing Wu, Anna L. Smith, Tian Zheng
http://arxiv.org/abs/2001.09359v1
• [stat.AP]Graph link prediction in computer networks using Poisson matrix factorisation
Francesco Sanna Passino, Melissa J. M. Turcotte, Nicholas A. Heard
http://arxiv.org/abs/2001.09456v1
• [stat.CO]Particle-Gibbs Sampling For Bayesian Feature Allocation Models
Alexandre Bouchard-Côté, Andrew Roth
http://arxiv.org/abs/2001.09367v1
• [stat.ME]Estimating heterogeneous treatment effects with right-censored data via causal survival forests
Yifan Cui, Michael R. Kosorok, Stefan Wager, Ruoqing Zhu
http://arxiv.org/abs/2001.09887v1
• [stat.ME]Inference on extremal dependence in a latent Markov tree model attracted to a Hüsler-Reiss distribution
Stefka Asenova, Gildas Mazo, Johan Segers
http://arxiv.org/abs/2001.09510v1
• [stat.ME]Penalized angular regression for personalized predictions
Kristoffer H. Hellton
http://arxiv.org/abs/2001.09834v1
• [stat.ME]Predictive inference with Fleming—Viot-driven dependent Dirichlet processes
Filippo Ascolani, Antonio Lijoi, Matteo Ruggiero
http://arxiv.org/abs/2001.09868v1
• [stat.ME]Shapley value confidence intervals for variable selection in regression models
Daniel Fryer, Inga Strumke, Hien Nguyen
http://arxiv.org/abs/2001.09593v1
• [stat.ME]Shrinkage with Robustness: Log-Adjusted Priors for Sparse Signals
Yasuyuki Hamura, Kaoru Irie, Shonosuke Sugasawa
http://arxiv.org/abs/2001.08465v2
• [stat.ML]A Precision Medicine Approach to Develop and Internally Validate Optimal Exercise and Weight Loss Treatments for Overweight and Obese Adults with Knee Osteoarthritis
Xiaotong Jiang, Amanda E. Nelson, Rebecca J. Cleveland, Daniel P. Beavers, Todd A. Schwartz, Liubov Arbeeva, Carolina Alvarez, Leigh F. Callahan, Stephen Messier, Richard Loeser, Michael R. Kosorok
http://arxiv.org/abs/2001.09930v1
• [stat.ML]Learning the Hypotheses Space from data Part I: Learning Space and U-curve Property
Diego Marcondes, Adilson Simonis, Junior Barrera
http://arxiv.org/abs/2001.09532v1
• [stat.ML]The role of surrogate models in the development of digital twins of dynamic systems
Souvik Chakraborty, Sondipon Adhikari, Ranjan Ganguli
http://arxiv.org/abs/2001.09292v1
• [stat.ML]¶ILCRO: Making Importance Landscapes Flat Again
Vincent Moens, Simiao Yu, Gholamreza Salimi-Khorshidi
http://arxiv.org/abs/2001.09696v1
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