astro-ph.GA - 星系天体物理学

    cond-mat.mes-hall - 尺度和物理纳米 cs.AI - 人工智能 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DM - 离散数学 cs.DS - 数据结构与算法 cs.ET - 新兴技术 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.NE - 神经与进化计算 cs.RO - 机器人学 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.soc-ph - 物理学与社会 q-fin.TR - 贸易与市场微观结构 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

    • [astro-ph.GA]Comparison of Multi-Class and Binary Classification Machine Learning Models in Identifying Strong Gravitational Lenses
    • [cond-mat.mes-hall]Autonomous robotic nanofabrication with reinforcement learning
    • [cs.AI]A Simulation Model Demonstrating the Impact of Social Aspects on Social Internet of Things
    • [cs.AI]Algorithms for Optimizing Fleet Scheduling of Air Ambulances
    • [cs.AI]Gamma-Reward: A Novel Multi-Agent Reinforcement Learning Method for Traffic Signal Control
    • [cs.AI]Hallucinative Topological Memory for Zero-Shot Visual Planning
    • [cs.AI]Improving the Performance of Stochastic Local Search for Maximum Vertex Weight Clique Problem Using Programming by Optimization
    • [cs.AI]Knowledge Cores in Large Formal Contexts
    • [cs.AI]Modelisation de l’incertitude et de l’imprecision de donnees de crowdsourcing : MONITOR
    • [cs.AI]Reinforcement Learning of Risk-Constrained Policies in Markov Decision Processes
    • [cs.AI]Type-2 Fuzzy Set based Hesitant Fuzzy Linguistic Term Sets for Linguistic Decision Making
    • [cs.CL]A Primer in BERTology: What we know about how BERT works
    • [cs.CL]Analysis of diversity-accuracy tradeoff in image captioning
    • [cs.CL]Annotation of Emotion Carriers in Personal Narratives
    • [cs.CL]Binarized PMI Matrix: Bridging Word Embeddings and Hyperbolic Spaces
    • [cs.CL]CrossWOZ: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset
    • [cs.CL]Echo State Neural Machine Translation
    • [cs.CL]Few-shot Natural Language Generation for Task-Oriented Dialog
    • [cs.CL]Generating Followup Questions for Interpretable Multi-hop Question Answering
    • [cs.CL]Improving cross-lingual model transfer by chunking
    • [cs.CL]Integrating Boundary Assembling into a DNN Framework for Named Entity Recognition in Chinese Social Media Text
    • [cs.CL]Towards Zero-shot Learning for Automatic Phonemic Transcription
    • [cs.CL]Train Large, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers
    • [cs.CL]Universal Phone Recognition with a Multilingual Allophone System
    • [cs.CR]FedCoin: A Peer-to-Peer Payment System for Federated Learning
    • [cs.CR]Secure and Reliable Key Agreement with Physical Unclonable Functions
    • [cs.CV]2D Convolutional Neural Networks for 3D Digital Breast Tomosynthesis Classification
    • [cs.CV]A Quadruplet Loss for Enforcing Semantically Coherent Embeddings in Multi-output Classification Problems
    • [cs.CV]Action Quality Assessment using Siamese Network-Based Deep Metric Learning
    • [cs.CV]Attention-guided Chained Context Aggregation for Semantic Segmentation
    • [cs.CV]Auto-Encoding Twin-Bottleneck Hashing
    • [cs.CV]Blurry Video Frame Interpolation
    • [cs.CV]Deep Slow Motion Video Reconstruction with Hybrid Imaging System
    • [cs.CV]Defense-PointNet: Protecting PointNet Against Adversarial Attacks
    • [cs.CV]Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation
    • [cs.CV]Evolving Losses for Unsupervised Video Representation Learning
    • [cs.CV]Features for Ground Texture Based Localization — A Survey
    • [cs.CV]GATCluster: Self-Supervised Gaussian-Attention Network for Image Clustering
    • [cs.CV]Hierarchical Memory Decoding for Video Captioning
    • [cs.CV]Joint Unsupervised Learning of Optical Flow and Egomotion with Bi-Level Optimization
    • [cs.CV]Learning Representations by Predicting Bags of Visual Words
    • [cs.CV]Learning to Shade Hand-drawn Sketches
    • [cs.CV]Measures to Evaluate Generative Adversarial Networks Based on Direct Analysis of Generated Images
    • [cs.CV]Meta-Transfer Learning for Zero-Shot Super-Resolution
    • [cs.CV]Multiple Discrimination and Pairwise CNN for View-based 3D Object Retrieval
    • [cs.CV]On Leveraging Pretrained GANs for Limited-Data Generation
    • [cs.CV]RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference
    • [cs.CV]Reducing Geographic Performance Differential for Face Recognition
    • [cs.CV]Semantically-Guided Representation Learning for Self-Supervised Monocular Depth
    • [cs.CV]Set-Constrained Viterbi for Set-Supervised Action Segmentation
    • [cs.CV]Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction
    • [cs.CV]The Data Representativeness Criterion: Predicting the Performance of Supervised Classification Based on Data Set Similarity
    • [cs.CV]The Mertens Unrolled Network (MU-Net): A High Dynamic Range Fusion Neural Network for Through the Windshield Driver Recognition
    • [cs.CV]Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single Image
    • [cs.CV]Towards Universal Representation Learning for Deep Face Recognition
    • [cs.CV]Unbiased Scene Graph Generation from Biased Training
    • [cs.CV]University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization
    • [cs.CV]Unshuffling Data for Improved Generalization
    • [cs.CV]Visual Camera Re-Localization from RGB and RGB-D Images Using DSAC
    • [cs.CV]Visual Commonsense R-CNN
    • [cs.CV]Weakly supervised discriminative feature learning with state information for person identification
    • [cs.CV]XSepConv: Extremely Separated Convolution
    • [cs.CV]ZoomCount: A Zooming Mechanism for Crowd Counting in Static Images
    • [cs.CV]Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution
    • [cs.CY]No computation without representation: Avoiding data and algorithm biases through diversity
    • [cs.DB]Distributed Cross-Blockchain Transactions
    • [cs.DC]Black or White? How to Develop an AutoTuner for Memory-based Analytics [Extended Version]
    • [cs.DC]Improvement of Automatic GPU Offloading Technology for Application Loop Statements
    • [cs.DC]Vortex: OpenCL Compatible RISC-V GPGPU
    • [cs.DM]Edge corona product as an approach to modeling complex simplical networks
    • [cs.DS]Stochastic Matching with Few Queries: $(1-\varepsilon)$ Approximation
    • [cs.ET]Is my Neural Network Neuromorphic? Taxonomy, Recent Trends and Future Directions in Neuromorphic Engineering
    • [cs.HC]Opportunities of a Machine Learning-based Decision Support System for Stroke Rehabilitation Assessment
    • [cs.IR]A hypergeometric test interpretation of a common tf-idf variant
    • [cs.IR]Dataset Search In Biodiversity Research: Do Metadata In Data Repositories Reflect Scholarly Information Needs?
    • [cs.IR]HAM: Hybrid Associations Model with Pooling for Sequential Recommendation
    • [cs.IT]Full Duplex Hybrid A/D Beamforming with Reduced Complexity Multi-Tap Analog Cancellation
    • [cs.IT]Genetic algorithms with permutation-based representation for computing the distance of linear codes
    • [cs.IT]Large intelligent surface (LIS)-based communications: New features and system layouts
    • [cs.IT]Massive MIMO Asymptotics for Ray-Based Propagation Channels
    • [cs.IT]On the Capacity of Fractal D2D Social Networks with Hierarchical Communications
    • [cs.LG]A Comprehensive Approach to Unsupervised Embedding Learning based on AND Algorithm
    • [cs.LG]A Distributional Framework for Data Valuation
    • [cs.LG]A Visual Communication Map for Multi-Agent Deep Reinforcement Learning
    • [cs.LG]Acceleration of Actor-Critic Deep Reinforcement Learning for Visual Grasping in Clutter by State Representation Learning Based on Disentanglement of a Raw Input Image
    • [cs.LG]Adapted tree boosting for Transfer Learning
    • [cs.LG]Advances in Collaborative Filtering and Ranking
    • [cs.LG]An On-Device Federated Learning Approach for Cooperative Anomaly Detection
    • [cs.LG]Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks
    • [cs.LG]CATA++: A Collaborative Dual Attentive Autoencoder Method for Recommending Scientific Articles
    • [cs.LG]Cautious Reinforcement Learning with Logical Constraints
    • [cs.LG]Complexity Measures and Features for Times Series classification
    • [cs.LG]Compressing Large-Scale Transformer-Based Models: A Case Study on BERT
    • [cs.LG]Controllable Level Blending between Games using Variational Autoencoders
    • [cs.LG]Corrupted Multidimensional Binary Search: Learning in the Presence of Irrational Agents
    • [cs.LG]Deep Randomized Neural Networks
    • [cs.LG]Disentangling Adaptive Gradient Methods from Learning Rates
    • [cs.LG]Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks
    • [cs.LG]Fairness-Aware Learning with Prejudice Free Representations
    • [cs.LG]Gradient Boosted Flows
    • [cs.LG]Heterogeneous Graph Neural Networks for Malicious Account Detection
    • [cs.LG]High-Dimensional Feature Selection for Genomic Datasets
    • [cs.LG]How Much Can A Retailer Sell? Sales Forecasting on Tmall
    • [cs.LG]Improving Robustness of Deep-Learning-Based Image Reconstruction
    • [cs.LG]Infinitely Wide Graph Convolutional Networks: Semi-supervised Learning via Gaussian Processes
    • [cs.LG]Kalman Recursions Aggregated Online
    • [cs.LG]Kernel Bi-Linear Modeling for Reconstructing Data on Manifolds: The Dynamic-MRI Case
    • [cs.LG]Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization
    • [cs.LG]Lipschitz and Comparator-Norm Adaptivity in Online Learning
    • [cs.LG]Memory-Constrained No-Regret Learning in Adversarial Bandits
    • [cs.LG]Moniqua: Modulo Quantized Communication in Decentralized SGD
    • [cs.LG]Multi-source Domain Adaptation in the Deep Learning Era: A Systematic Survey
    • [cs.LG]On Isometry Robustness of Deep 3D Point Cloud Models under Adversarial Attacks
    • [cs.LG]Online Learning for Active Cache Synchronization
    • [cs.LG]Optimality and Stability in Non-Convex-Non-Concave Min-Max Optimization
    • [cs.LG]Optimistic Exploration even with a Pessimistic Initialisation
    • [cs.LG]PHS: A Toolbox for Parallel Hyperparameter Search
    • [cs.LG]Performance Analysis of Semi-supervised Learning in the Small-data Regime using VAEs
    • [cs.LG]Plannable Approximations to MDP Homomorphisms: Equivariance under Actions
    • [cs.LG]Policy Evaluation Networks
    • [cs.LG]PrIU: A Provenance-Based Approach for Incrementally Updating Regression Models
    • [cs.LG]Prediction of adverse events in Afghanistan: regression analysis of time series data grouped not by geographic dependencies
    • [cs.LG]RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments
    • [cs.LG]Representation Learning Through Latent Canonicalizations
    • [cs.LG]Review, Analyze, and Design a Comprehensive Deep Reinforcement Learning Framework
    • [cs.LG]Simultaneously Evolving Deep Reinforcement Learning Models using Multifactorial Optimization
    • [cs.LG]Streaming Active Deep Forest for Evolving Data Stream Classification
    • [cs.LG]Supervised Dimensionality Reduction and Visualization using Centroid-encoder
    • [cs.LG]Tensor Decompositions in Deep Learning
    • [cs.LG]Testing Monotonicity of Machine Learning Models
    • [cs.LG]The Spectral Underpinning of word2vec
    • [cs.LG]Topology Distance: A Topology-Based Approach For Evaluating Generative Adversarial Networks
    • [cs.LG]Training Adversarial Agents to Exploit Weaknesses in Deep Control Policies
    • [cs.LG]Transductive Few-shot Learning with Meta-Learned Confidence
    • [cs.LG]Understanding and Enhancing Mixed Sample Data Augmentation
    • [cs.LG]Using a thousand optimization tasks to learn hyperparameter search strategies
    • [cs.LG]Woodbury Transformations for Deep Generative Flows
    • [cs.LO]Proceedings 8th International Workshop on Theorem Proving Components for Educational Software
    • [cs.MA]Learning Optimal Temperature Region for Solving Mixed Integer Functional DCOPs
    • [cs.MA]On Local Computation for Optimization in Multi-Agent Systems
    • [cs.NE]A Deep Unsupervised Feature Learning Spiking Neural Network with Binarized Classification Layers for EMNIST Classification
    • [cs.NE]A Proto-Object Based Dynamic Visual Saliency Model with an FPGA Implementation
    • [cs.RO]Alpha-N: Shortest Path Finder Automated Delivery Robot with Obstacle Detection and Avoiding System
    • [cs.RO]Assembly robots with optimized control stiffness through reinforcement learning
    • [cs.RO]Efficient Multi-Agent Motion Planning in Continuous Workspaces Using Medial-Axis-Based Swap Graphs
    • [cs.RO]Exploiting Variable Impedance for Energy Efficient Sequential Movements
    • [cs.RO]Exploration-efficient Deep Reinforcement Learning with Demonstration Guidance for Robot Control
    • [cs.RO]GLAS: Global-to-Local Safe Autonomy Synthesis for Multi-Robot Motion Planning with End-to-End Learning
    • [cs.RO]Globally optimal consensus maximization for robust visual inertial localization in point and line map
    • [cs.RO]In-Hand Object Pose Tracking via Contact Feedback and GPU-Accelerated Robotic Simulation
    • [cs.RO]Maximising Manipulability During Resolved-Rate Motion Control
    • [cs.RO]Posterior Sampling for Anytime Motion Planning on Graphs with Expensive-to-Evaluate Edges
    • [cs.RO]Safe and Compliant Control of Redundant Robots Using a Stack of Passive Task-Space Controllers
    • [cs.RO]Self-Supervised Deep Pose Corrections for Robust Visual Odometry
    • [cs.RO]Sigma-3: Integration and Analysis of a 6 DOF Robotic Arm Configuration in a Rescue Robot
    • [cs.RO]Technical Report: Reactive Semantic Planning in Unexplored Semantic Environments Using Deep Perceptual Feedback
    • [cs.SI]DSSLP: A Distributed Framework for Semi-supervised Link Prediction
    • [cs.SI]Junk News & Information Sharing During the 2019 UK General Election
    • [cs.SI]Node Immunization with Non-backtracking Eigenvalues
    • [eess.AS]A Density Ratio Approach to Language Model Fusion in End-To-End Automatic Speech Recognition
    • [eess.AS]SkinAugment: Auto-Encoding Speaker Conversions for Automatic Speech Translation
    • [eess.IV]BBAND Index: A No-Reference Banding Artifact Predictor
    • [eess.IV]Coronary Wall Segmentation in CCTA Scans via a Hybrid Net with Contours Regularization
    • [eess.IV]Deep Learning Based Cell Parasites Detection
    • [eess.IV]Multi-Cycle-Consistent Adversarial Networks for CT Image Denoising
    • [eess.IV]Segmentation-based Method combined with Dynamic Programming for Brain Midline Delineation
    • [eess.IV]Two-stage breast mass detection and segmentation system towards automated high-resolution full mammogram analysis
    • [eess.IV]Weak Supervision in Convolutional Neural Network for Semantic Segmentation of Diffuse Lung Diseases Using Partially Annotated Dataset
    • [eess.SP]Energy-Efficient Buffer-Aided Relaying Systems with Opportunistic Spectrum Access
    • [eess.SP]Face Verification Using 60~GHz 802.11 waveforms
    • [eess.SP]Low Complexity Iterative Receiver Design for Sparse Code Multiple Access
    • [eess.SP]NOMA Design with Power-Outage Tradeoff for Two-User Systems
    • [eess.SP]Robust Underlay Device-to-Device Communications on Multiple Channels
    • [math.OC]LASG: Lazily Aggregated Stochastic Gradients for Communication-Efficient Distributed Learning
    • [math.OC]Optimization of Graph Total Variation via Active-Set-based Combinatorial Reconditioning
    • [math.OC]SACBP: Belief Space Planning for Continuous-Time Dynamical Systems via Stochastic Sequential Action Control
    • [math.PR]Assortativity and bidegree distributions on Bernoulli random graph superpositions
    • [math.ST]On combining the zero bias transform and the empirical characteristic function to test normality
    • [math.ST]Uncertainty Quantification for Sparse Deep Learning
    • [physics.soc-ph]A multi-layer network approach to modelling authorship influence on citation dynamics in physics journals
    • [physics.soc-ph]Unifying susceptible-infected-recovered processes on networks
    • [q-fin.TR]Using Reinforcement Learning in the Algorithmic Trading Problem
    • [quant-ph]Finite Block Length Analysis on Quantum Coherence Distillation and Incoherent Randomness Extraction
    • [quant-ph]Quantum Distributed Complexity of Set Disjointness on a Line
    • [stat.AP]Assessing causal effects in the presence of treatment switching through principal stratification
    • [stat.CO]Computing Shapley Effects for Sensitivity Analysis
    • [stat.ME]Causal inference with limited resources: proportionally-representative interventions
    • [stat.ME]False Discovery Rate Control Under General Dependence By Symmetrized Data Aggregation
    • [stat.ME]Tuning-free ridge estimators for high-dimensional generalized linear models
    • [stat.ML]Conditional Sampling from Invertible Generative Models with Applications to Inverse Problems
    • [stat.ML]Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods
    • [stat.ML]Max-Affine Spline Insights into Deep Generative Networks
    • [stat.ML]MetFlow: A New Efficient Method for Bridging the Gap between Markov Chain Monte Carlo and Variational Inference
    • [stat.ML]PAPRIKA: Private Online False Discovery Rate Control
    • [stat.ML]Semi-supervised Anomaly Detection on Attributed Graphs
    • [stat.ML]Stagewise Enlargement of Batch Size for SGD-based Learning
    • [stat.ML]State-only Imitation with Transition Dynamics Mismatch

    ·····································

    • [astro-ph.GA]Comparison of Multi-Class and Binary Classification Machine Learning Models in Identifying Strong Gravitational Lenses
    Hossen Teimoorinia, Robert D. Toyonaga, Sebastien Fabbro, Connor Bottrell
    http://arxiv.org/abs/2002.11849v1

    • [cond-mat.mes-hall]Autonomous robotic nanofabrication with reinforcement learning
    Philipp Leinen, Malte Esders, Kristof T. Schütt, Christian Wagner, Klaus-Robert Müller, F. Stefan Tautz
    http://arxiv.org/abs/2002.11952v1

    • [cs.AI]A Simulation Model Demonstrating the Impact of Social Aspects on Social Internet of Things
    Kashif Zia
    http://arxiv.org/abs/2002.11507v1

    • [cs.AI]Algorithms for Optimizing Fleet Scheduling of Air Ambulances
    Joseph Tassone, Salimur Choudhury
    http://arxiv.org/abs/2002.11710v1

    • [cs.AI]Gamma-Reward: A Novel Multi-Agent Reinforcement Learning Method for Traffic Signal Control
    Junjia Liu, Huimin Zhang, Zhuang Fu, Yao Wang
    http://arxiv.org/abs/2002.11874v1

    • [cs.AI]Hallucinative Topological Memory for Zero-Shot Visual Planning
    Kara Liu, Thanard Kurutach, Christine Tung, Pieter Abbeel, Aviv Tamar
    http://arxiv.org/abs/2002.12336v1

    • [cs.AI]Improving the Performance of Stochastic Local Search for Maximum Vertex Weight Clique Problem Using Programming by Optimization
    Yi Chu, Chuan Luo, Holger H. Hoos, QIngwei Lin, Haihang You
    http://arxiv.org/abs/2002.11909v1

    • [cs.AI]Knowledge Cores in Large Formal Contexts
    Tom Hanika, Johannes Hirth
    http://arxiv.org/abs/2002.11776v1

    • [cs.AI]Modelisation de l’incertitude et de l’imprecision de donnees de crowdsourcing : MONITOR
    Constance Thierry, Jean-Christophe Dubois, Yolande Le Gall, Arnaud Martin
    http://arxiv.org/abs/2002.11717v1

    • [cs.AI]Reinforcement Learning of Risk-Constrained Policies in Markov Decision Processes
    Tomas Brazdil, Krishnendu Chatterjee, Petr Novotny, Jiri Vahala
    http://arxiv.org/abs/2002.12086v1

    • [cs.AI]Type-2 Fuzzy Set based Hesitant Fuzzy Linguistic Term Sets for Linguistic Decision Making
    Taniya Seth, Pranab K. Muhuri
    http://arxiv.org/abs/2002.11714v1

    • [cs.CL]A Primer in BERTology: What we know about how BERT works
    Anna Rogers, Olga Kovaleva, Anna Rumshisky
    http://arxiv.org/abs/2002.12327v1

    • [cs.CL]Analysis of diversity-accuracy tradeoff in image captioning
    Ruotian Luo, Gregory Shakhnarovich
    http://arxiv.org/abs/2002.11848v1

    • [cs.CL]Annotation of Emotion Carriers in Personal Narratives
    Aniruddha Tammewar, Alessandra Cervone, Eva-Maria Messner, Giuseppe Riccardi
    http://arxiv.org/abs/2002.12196v1

    • [cs.CL]Binarized PMI Matrix: Bridging Word Embeddings and Hyperbolic Spaces
    Zhenisbek Assylbekov, Alibi Jangeldin
    http://arxiv.org/abs/2002.12005v1

    • [cs.CL]CrossWOZ: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset
    Qi Zhu, Kaili Huang, Zheng Zhang, Xiaoyan Zhu, Minlie Huang
    http://arxiv.org/abs/2002.11893v1

    • [cs.CL]Echo State Neural Machine Translation
    Ankush Garg, Yuan Cao, Qi Ge
    http://arxiv.org/abs/2002.11847v1

    • [cs.CL]Few-shot Natural Language Generation for Task-Oriented Dialog
    Baolin Peng, Chenguang Zhu, Chunyuan Li, Xiujun Li, Jinchao Li, Michael Zeng, Jianfeng Gao
    http://arxiv.org/abs/2002.12328v1

    • [cs.CL]Generating Followup Questions for Interpretable Multi-hop Question Answering
    Christopher Malon, Bing Bai
    http://arxiv.org/abs/2002.12344v1

    • [cs.CL]Improving cross-lingual model transfer by chunking
    Ayan Das, Sudeshna Sarkar
    http://arxiv.org/abs/2002.12097v1

    • [cs.CL]Integrating Boundary Assembling into a DNN Framework for Named Entity Recognition in Chinese Social Media Text
    Zhaoheng Gong, Ping Chen, Jiang Zhou
    http://arxiv.org/abs/2002.11910v1

    • [cs.CL]Towards Zero-shot Learning for Automatic Phonemic Transcription
    Xinjian Li, Siddharth Dalmia, David R. Mortensen, Juncheng Li, Alan W Black, Florian Metze
    http://arxiv.org/abs/2002.11781v1

    • [cs.CL]Train Large, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers
    Zhuohan Li, Eric Wallace, Sheng Shen, Kevin Lin, Kurt Keutzer, Dan Klein, Joseph E. Gonzalez
    http://arxiv.org/abs/2002.11794v1

    • [cs.CL]Universal Phone Recognition with a Multilingual Allophone System
    Xinjian Li, Siddharth Dalmia, Juncheng Li, Matthew Lee, Patrick Littell, Jiali Yao, Antonios Anastasopoulos, David R. Mortensen, Graham Neubig, Alan W Black, Florian Metze
    http://arxiv.org/abs/2002.11800v1

    • [cs.CR]FedCoin: A Peer-to-Peer Payment System for Federated Learning
    Yuan Liu, Shuai Sun, Zhengpeng Ai, Shuangfeng Zhang, Zelei Liu, Han Yu
    http://arxiv.org/abs/2002.11711v1

    • [cs.CR]Secure and Reliable Key Agreement with Physical Unclonable Functions
    Onur Günlü, Tasnad Kernetzky, Onurcan İşcan, Vladimir Sidorenko, Gerhard Kramer, Rafael F. Schaefer
    http://arxiv.org/abs/2002.11687v2

    • [cs.CV]2D Convolutional Neural Networks for 3D Digital Breast Tomosynthesis Classification
    Yu Zhang, Xiaoqin Wang, Hunter Blanton, Gongbo Liang, Xin Xing, Nathan Jacobs
    http://arxiv.org/abs/2002.12314v1

    • [cs.CV]A Quadruplet Loss for Enforcing Semantically Coherent Embeddings in Multi-output Classification Problems
    Hugo Proença, Ehsan Yaghoubi, Pendar Alirezazadeh
    http://arxiv.org/abs/2002.11644v2

    • [cs.CV]Action Quality Assessment using Siamese Network-Based Deep Metric Learning
    Hiteshi Jain, Gaurav Harit, Avinash Sharma
    http://arxiv.org/abs/2002.12096v1

    • [cs.CV]Attention-guided Chained Context Aggregation for Semantic Segmentation
    Quan Tang, Fagui Liu, Jun Jiang, Yu Zhang
    http://arxiv.org/abs/2002.12041v1

    • [cs.CV]Auto-Encoding Twin-Bottleneck Hashing
    Yuming Shen, Jie Qin, Jiaxin Chen, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao
    http://arxiv.org/abs/2002.11930v1

    • [cs.CV]Blurry Video Frame Interpolation
    Wang Shen, Wenbo Bao, Guangtao Zhai, Li Chen, Xiongkuo Min, Zhiyong Gao
    http://arxiv.org/abs/2002.12259v1

    • [cs.CV]Deep Slow Motion Video Reconstruction with Hybrid Imaging System
    Avinash Paliwal, Nima Khademi Kalantari
    http://arxiv.org/abs/2002.12106v1

    • [cs.CV]Defense-PointNet: Protecting PointNet Against Adversarial Attacks
    Yu Zhang, Gongbo Liang, Tawfiq Salem, Nathan Jacobs
    http://arxiv.org/abs/2002.11881v1

    • [cs.CV]Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation
    Yunhan Zhao, Shu Kong, Daeyun Shin, Charless Fowlkes
    http://arxiv.org/abs/2002.12114v1

    • [cs.CV]Evolving Losses for Unsupervised Video Representation Learning
    AJ Piergiovanni, Anelia Angelova, Michael S. Ryoo
    http://arxiv.org/abs/2002.12177v1

    • [cs.CV]Features for Ground Texture Based Localization — A Survey
    Jan Fabian Schmid, Stephan F. Simon, Rudolf Mester
    http://arxiv.org/abs/2002.11948v1

    • [cs.CV]GATCluster: Self-Supervised Gaussian-Attention Network for Image Clustering
    Chuang Niu, Jun Zhang, Ge Wang, Jimin Liang
    http://arxiv.org/abs/2002.11863v1

    • [cs.CV]Hierarchical Memory Decoding for Video Captioning
    Aming Wu, Yahong Han
    http://arxiv.org/abs/2002.11886v1

    • [cs.CV]Joint Unsupervised Learning of Optical Flow and Egomotion with Bi-Level Optimization
    Shihao Jiang, Dylan Campbell, Miaomiao Liu, Stephen Gould, Richard Hartley
    http://arxiv.org/abs/2002.11826v1

    • [cs.CV]Learning Representations by Predicting Bags of Visual Words
    Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord
    http://arxiv.org/abs/2002.12247v1

    • [cs.CV]Learning to Shade Hand-drawn Sketches
    Qingyuan Zheng, Zhuoru Li, Adam Bargteil
    http://arxiv.org/abs/2002.11812v1

    • [cs.CV]Measures to Evaluate Generative Adversarial Networks Based on Direct Analysis of Generated Images
    Shuyue Guan, Murray H. Loew
    http://arxiv.org/abs/2002.12345v1

    • [cs.CV]Meta-Transfer Learning for Zero-Shot Super-Resolution
    Jae Woong Soh, Sunwoo Cho, Nam Ik Cho
    http://arxiv.org/abs/2002.12213v1

    • [cs.CV]Multiple Discrimination and Pairwise CNN for View-based 3D Object Retrieval
    Z. Gao, K. X Xue, S. H Wan
    http://arxiv.org/abs/2002.11977v1

    • [cs.CV]On Leveraging Pretrained GANs for Limited-Data Generation
    Miaoyun Zhao, Yulai Cong, Lawrence Carin
    http://arxiv.org/abs/2002.11810v1

    • [cs.CV]RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference
    Oindrila Saha, Aditya Kusupati, Harsha Vardhan Simhadri, Manik Varma, Prateek Jain
    http://arxiv.org/abs/2002.11921v1

    • [cs.CV]Reducing Geographic Performance Differential for Face Recognition
    Martins Bruveris, Jochem Gietema, Pouria Mortazavian, Mohan Mahadevan
    http://arxiv.org/abs/2002.12093v1

    • [cs.CV]Semantically-Guided Representation Learning for Self-Supervised Monocular Depth
    Vitor Guizilini, Rui Hou, Jie Li, Rares Ambrus, Adrien Gaidon
    http://arxiv.org/abs/2002.12319v1

    • [cs.CV]Set-Constrained Viterbi for Set-Supervised Action Segmentation
    Jun Li, Sinisa Todorovic
    http://arxiv.org/abs/2002.11925v1

    • [cs.CV]Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction
    Abduallah Mohamed, Kun Qian, Mohamed Elhoseiny, Christian Claudel
    http://arxiv.org/abs/2002.11927v1

    • [cs.CV]The Data Representativeness Criterion: Predicting the Performance of Supervised Classification Based on Data Set Similarity
    Evelien Schat, Rens van de Schoot, Wouter M. Kouw, Duco Veen, Adriënne M. Mendrik
    http://arxiv.org/abs/2002.12105v1

    • [cs.CV]The Mertens Unrolled Network (MU-Net): A High Dynamic Range Fusion Neural Network for Through the Windshield Driver Recognition
    Max Ruby, David S. Bolme, Joel Brogan, David Cornett III, Baldemar Delgado, Gavin Jager, Christi Johnson, Jose Martinez-Mendoza, Hector Santos-Villalobos, Nisha Srinivas
    http://arxiv.org/abs/2002.12257v1

    • [cs.CV]Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single Image
    Yinyu Nie, Xiaoguang Han, Shihui Guo, Yujian Zheng, Jian Chang, Jian Jun Zhang
    http://arxiv.org/abs/2002.12212v1

    • [cs.CV]Towards Universal Representation Learning for Deep Face Recognition
    Yichun Shi, Xiang Yu, Kihyuk Sohn, Manmohan Chandraker, Anil K. Jain
    http://arxiv.org/abs/2002.11841v1

    • [cs.CV]Unbiased Scene Graph Generation from Biased Training
    Kaihua Tang, Yulei Niu, Jianqiang Huang, Jiaxin Shi, Hanwang Zhang
    http://arxiv.org/abs/2002.11949v1

    • [cs.CV]University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization
    Zhedong Zheng, Yunchao Wei, Yi Yang
    http://arxiv.org/abs/2002.12186v1

    • [cs.CV]Unshuffling Data for Improved Generalization
    Damien Teney, Ehsan Abbasnejad, Anton van den Hengel
    http://arxiv.org/abs/2002.11894v1

    • [cs.CV]Visual Camera Re-Localization from RGB and RGB-D Images Using DSAC
    Eric Brachmann, Carsten Rother
    http://arxiv.org/abs/2002.12324v1

    • [cs.CV]Visual Commonsense R-CNN
    Tan Wang, Jianqiang Huang, Hanwang Zhang, Qianru Sun
    http://arxiv.org/abs/2002.12204v1

    • [cs.CV]Weakly supervised discriminative feature learning with state information for person identification
    Hong-Xing Yu, Wei-Shi Zheng
    http://arxiv.org/abs/2002.11939v1

    • [cs.CV]XSepConv: Extremely Separated Convolution
    Jiarong Chen, Zongqing Lu, Jing-Hao Xue, Qingmin Liao
    http://arxiv.org/abs/2002.12046v1

    • [cs.CV]ZoomCount: A Zooming Mechanism for Crowd Counting in Static Images
    Usman Sajid, Hasan Sajid, Hongcheng Wang, Guanghui Wang
    http://arxiv.org/abs/2002.12256v1

    • [cs.CV]Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution
    Xiaoyu Xiang, Yapeng Tian, Yulun Zhang, Yun Fu, Jan P. Allebach, Chenliang Xu
    http://arxiv.org/abs/
    bfe
    2002.11616v1
    bfe
    2002.11616v1)

    • [cs.CY]No computation without representation: Avoiding data and algorithm biases through diversity
    Caitlin Kuhlman, Latifa Jackson, Rumi Chunara
    http://arxiv.org/abs/2002.11836v1

    • [cs.DB]Distributed Cross-Blockchain Transactions
    Dongfang Zhao, Tonglin Li
    http://arxiv.org/abs/2002.11771v1

    • [cs.DC]Black or White? How to Develop an AutoTuner for Memory-based Analytics [Extended Version]**
    Mayuresh Kunjir, Shivnath Babu
    http://arxiv.org/abs/2002.11780v1

    • [cs.DC]Improvement of Automatic GPU Offloading Technology for Application Loop Statements
    Yoji Yamato
    http://arxiv.org/abs/2002.12115v1

    • [cs.DC]Vortex: OpenCL Compatible RISC-V GPGPU
    Fares Elsabbagh, Blaise Tine, Priyadarshini Roshan, Ethan Lyons, Euna Kim, Da Eun Shim, Lingjun Zhu, Sung Kyu Lim, Hyesoon kim
    http://arxiv.org/abs/2002.12151v1

    • [cs.DM]Edge corona product as an approach to modeling complex simplical networks
    Yucheng Wang, Yuhao Yi, Wanyue Xu, Zhongzhi Zhang
    http://arxiv.org/abs/2002.12219v1

    • [cs.DS]Stochastic Matching with Few Queries: $(1-\varepsilon)$ Approximation
    Soheil Behnezhad, Mahsa Derakhshan, MohammadTaghi Hajiaghayi
    http://arxiv.org/abs/2002.11880v1

    • [cs.ET]Is my Neural Network Neuromorphic? Taxonomy, Recent Trends and Future Directions in Neuromorphic Engineering
    Sumon Kumar Bose, Jyotibdha Acharya, Arindam Basu
    http://arxiv.org/abs/2002.11945v1

    • [cs.HC]Opportunities of a Machine Learning-based Decision Support System for Stroke Rehabilitation Assessment
    Min Hun Lee, Daniel P. Siewiorek, Asim Smailagic, Alexandre Bernardino, Sergi Bermúdez i Badia
    http://arxiv.org/abs/2002.12261v1

    • [cs.IR]A hypergeometric test interpretation of a common tf-idf variant
    Paul Sheridan, Mikael Onsjö
    http://arxiv.org/abs/2002.11844v1

    • [cs.IR]Dataset Search In Biodiversity Research: Do Metadata In Data Repositories Reflect Scholarly Information Needs?
    Felicitas Löffler, Valentin Wesp, Birgitta König-Ries, Friederike Klan
    http://arxiv.org/abs/2002.12021v1

    • [cs.IR]HAM: Hybrid Associations Model with Pooling for Sequential Recommendation
    Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning
    http://arxiv.org/abs/2002.11890v1

    • [cs.IT]Full Duplex Hybrid A/D Beamforming with Reduced Complexity Multi-Tap Analog Cancellation
    George C. Alexandropoulos, Md Atiqul Islam, Besma Smida
    http://arxiv.org/abs/2002.11837v1

    • [cs.IT]Genetic algorithms with permutation-based representation for computing the distance of linear codes
    M. P. Cuéllar, J. Gómez-Torrecillas, F. J. Lobillo, G. Navarro
    http://arxiv.org/abs/2002.12330v1

    • [cs.IT]Large intelligent surface (LIS)-based communications: New features and system layouts
    Jide Yuan, Hien Quoc Ngo, Michail Matthaiou
    http://arxiv.org/abs/2002.12183v1

    • [cs.IT]Massive MIMO Asymptotics for Ray-Based Propagation Channels
    Shuang Li, Peter Smith, Pawel Dmochowski, Harsh Tataria, Michail Matthaiou, Jingwei Yin
    http://arxiv.org/abs/2002.11806v1

    • [cs.IT]On the Capacity of Fractal D2D Social Networks with Hierarchical Communications
    Ying Chen, Rongpeng Li, Zhifeng Zhao, Honggang Zhang
    http://arxiv.org/abs/2002.12161v1

    • [cs.LG]A Comprehensive Approach to Unsupervised Embedding Learning based on AND Algorithm
    Sungwon Han, Yizhan Xu, Sungwon Park, Meeyoung Cha, Cheng-Te Li
    http://arxiv.org/abs/2002.12158v1

    • [cs.LG]A Distributional Framework for Data Valuation
    Amirata Ghorbani, Michael P. Kim, James Zou
    http://arxiv.org/abs/2002.12334v1

    • [cs.LG]A Visual Communication Map for Multi-Agent Deep Reinforcement Learning
    Ngoc Duy Nguyen, Thanh Thi Nguyen, Saeid Nahavandi
    http://arxiv.org/abs/2002.11882v1

    • [cs.LG]Acceleration of Actor-Critic Deep Reinforcement Learning for Visual Grasping in Clutter by State Representation Learning Based on Disentanglement of a Raw Input Image
    Taewon Kim, Yeseong Park, Youngbin Park, Il Hong Suh
    http://arxiv.org/abs/2002.11903v1

    • [cs.LG]Adapted tree boosting for Transfer Learning
    Wenjing Fang, Chaochao Chen, Bowen Song, Li Wang, Jun Zhou, Kenny Q. Zhu
    http://arxiv.org/abs/2002.11982v1

    • [cs.LG]Advances in Collaborative Filtering and Ranking
    Liwei Wu
    http://arxiv.org/abs/2002.12312v1

    • [cs.LG]An On-Device Federated Learning Approach for Cooperative Anomaly Detection
    Rei Ito, Mineto Tsukada, Hiroki Matsutani
    http://arxiv.org/abs/2002.12301v1

    • [cs.LG]Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks
    Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Chang-Tien Lu
    http://arxiv.org/abs/2002.11867v1

    • [cs.LG]CATA++: A Collaborative Dual Attentive Autoencoder Method for Recommending Scientific Articles
    Meshal Alfarhood, Jianlin Cheng
    http://arxiv.org/abs/2002.12277v1

    • [cs.LG]Cautious Reinforcement Learning with Logical Constraints
    Mohammadhosein Hasanbeig, Alessandro Abate, Daniel Kroening
    http://arxiv.org/abs/2002.12156v1

    • [cs.LG]Complexity Measures and Features for Times Series classification
    Francisco J. Baldán, José M. Benítez
    http://arxiv.org/abs/2002.12036v1

    • [cs.LG]Compressing Large-Scale Transformer-Based Models: A Case Study on BERT
    Prakhar Ganesh, Yao Chen, Xin Lou, Mohammad Ali Khan, Yin Yang, Deming Chen, Marianne Winslett, Hassan Sajjad, Preslav Nakov
    http://arxiv.org/abs/2002.11985v1

    • [cs.LG]Controllable Level Blending between Games using Variational Autoencoders
    Anurag Sarkar, Zhihan Yang, Seth Cooper
    http://arxiv.org/abs/2002.11869v1

    • [cs.LG]Corrupted Multidimensional Binary Search: Learning in the Presence of Irrational Agents
    Akshay Krishnamurthy, Thodoris Lykouris, Chara Podimata
    http://arxiv.org/abs/2002.11650v2

    • [cs.LG]Deep Randomized Neural Networks
    Claudio Gallicchio, Simone Scardapane
    http://arxiv.org/abs/2002.12287v1

    • [cs.LG]Disentangling Adaptive Gradient Methods from Learning Rates
    Naman Agarwal, Rohan Anil, Elad Hazan, Tomer Koren, Cyril Zhang
    http://arxiv.org/abs/2002.11803v1

    • [cs.LG]Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks
    Ioana Bica, James Jordon, Mihaela van der Schaar
    http://arxiv.org/abs/2002.12326v1

    • [cs.LG]Fairness-Aware Learning with Prejudice Free Representations
    Ramanujam Madhavan, Mohit Wadhwa
    http://arxiv.org/abs/2002.12143v1

    • [cs.LG]Gradient Boosted Flows
    Robert Giaquinto, Arindam Banerjee
    http://arxiv.org/abs/2002.11896v1

    • [cs.LG]Heterogeneous Graph Neural Networks for Malicious Account Detection
    Ziqi Liu, Chaochao Chen, Xinxing Yang, Jun Zhou, Xiaolong Li, Le Song
    http://arxiv.org/abs/2002.12307v1

    • [cs.LG]High-Dimensional Feature Selection for Genomic Datasets
    Majid Afshar, Hamid Usefi
    http://arxiv.org/abs/2002.12104v1

    • [cs.LG]How Much Can A Retailer Sell? Sales Forecasting on Tmall
    Chaochao Chen, Ziqi Liu, Jun Zhou, Xiaolong Li, Yuan Qi, Yujing Jiao, Xingyu Zhong
    http://arxiv.org/abs/2002.11940v1

    • [cs.LG]Improving Robustness of Deep-Learning-Based Image Reconstruction
    Ankit Raj, Yoram Bresler, Bo Li
    http://arxiv.org/abs/2002.11821v1

    • [cs.LG]Infinitely Wide Graph Convolutional Networks: Semi-supervised Learning via Gaussian Processes
    Jilin Hu, Jianbing Shen, Bin Yang, Ling Shao
    http://arxiv.org/abs/2002.12168v1

    • [cs.LG]Kalman Recursions Aggregated Online
    Eric Adjakossa, Yannig Goude, Olivier Wintenberger
    http://arxiv.org/abs/2002.12173v1

    • [cs.LG]Kernel Bi-Linear Modeling for Reconstructing Data on Manifolds: The Dynamic-MRI Case
    Gaurav N. Shetty, Konstantinos Slavakis, Ukash Nakarmi, Gesualdo Scutari, Leslie Ying
    http://arxiv.org/abs/2002.11885v1

    • [cs.LG]Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization
    Sicheng Zhu, Xiao Zhang, David Evans
    http://arxiv.org/abs/2002.11798v1

    • [cs.LG]Lipschitz and Comparator-Norm Adaptivity in Online Learning
    Zakaria Mhammedi, Wouter M. Koolen
    http://arxiv.org/abs/2002.12242v1

    • [cs.LG]Memory-Constrained No-Regret Learning in Adversarial Bandits
    Xiao Xu, Qing Zhao
    http://arxiv.org/abs/2002.11804v1

    • [cs.LG]Moniqua: Modulo Quantized Communication in Decentralized SGD
    Yucheng Lu, Christopher De Sa
    http://arxiv.org/abs/2002.11787v1

    • [cs.LG]Multi-source Domain Adaptation in the Deep Learning Era: A Systematic Survey
    Sicheng Zhao, Bo Li, Colorado Reed, Pengfei Xu, Kurt Keutzer
    http://arxiv.org/abs/2002.12169v1

    • [cs.LG]On Isometry Robustness of Deep 3D Point Cloud Models under Adversarial Attacks
    Yue Zhao, Yuwei Wu, Caihua Chen, Andrew Lim
    http://arxiv.org/abs/2002.12222v1

    • [cs.LG]Online Learning for Active Cache Synchronization
    Andrey Kolobov, Sébastien Bubeck, Julian Zimmert
    http://arxiv.org/abs/2002.12014v1

    • [cs.LG]Optimality and Stability in Non-Convex-Non-Concave Min-Max Optimization
    Guojun Zhang, Pascal Poupart, Yaoliang Yu
    http://arxiv.org/abs/2002.11875v1

    • [cs.LG]Optimistic Exploration even with a Pessimistic Initialisation
    Tabish Rashid, Bei Peng, Wendelin Böhmer, Shimon Whiteson
    http://arxiv.org/abs/2002.12174v1

    • [cs.LG]PHS: A Toolbox for Parallel Hyperparameter Search
    Peter Michael Habelitz, Janis Keuper
    http://arxiv.org/abs/2002.11429v2

    • [cs.LG]Performance Analysis of Semi-supervised Learning in the Small-data Regime using VAEs
    Varun Mannam, Arman Kazemi
    http://arxiv.org/abs/2002.12164v1

    • [cs.LG]Plannable Approximations to MDP Homomorphisms: Equivariance under Actions
    Elise van der Pol, Thomas Kipf, Frans A. Oliehoek, Max Welling
    http://arxiv.org/abs/2002.11963v1

    • [cs.LG]Policy Evaluation Networks
    Jean Harb, Tom Schaul, Doina Precup, Pierre-Luc Bacon
    http://arxiv.org/abs/2002.11833v1

    • [cs.LG]PrIU: A Provenance-Based Approach for Incrementally Updating Regression Models
    Yinjun Wu, Val Tannen, Susan B. Davidson
    http://arxiv.org/abs/2002.11791v1

    • [cs.LG]Prediction of adverse events in Afghanistan: regression analysis of time series data grouped not by geographic dependencies
    Krzysztof Fiok, Waldemar Karwowski, Maciej Wilamowski
    http://arxiv.org/abs/2002.12211v1

    • [cs.LG]RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments
    Roberta Raileanu, Tim Rocktäschel
    http://arxiv.org/abs/2002.12292v1

    • [cs.LG]Representation Learning Through Latent Canonicalizations
    Or Litany, Ari Morcos, Srinath Sridhar, Leonidas Guibas, Judy Hoffman
    http://arxiv.org/abs/2002.11829v1

    • [cs.LG]Review, Analyze, and Design a Comprehensive Deep Reinforcement Learning Framework
    Ngoc Duy Nguyen, Thanh Thi Nguyen, Hai Nguyen, Saeid Nahavandi
    http://arxiv.org/abs/2002.11883v1

    • [cs.LG]Simultaneously Evolving Deep Reinforcement Learning Models using Multifactorial Optimization
    Aritz D. Martinez, Eneko Osaba, Javier Del Ser, Francisco Herrera
    http://arxiv.org/abs/2002.12133v1

    • [cs.LG]Streaming Active Deep Forest for Evolving Data Stream Classification
    Anh Vu Luong, Tien Thanh Nguyen, Alan Wee-Chung Liew
    http://arxiv.org/abs/2002.11816v1

    • [cs.LG]Supervised Dimensionality Reduction and Visualization using Centroid-encoder
    Tomojit Ghosh, Michael Kirby
    http://arxiv.org/abs/2002.11934v1

    • [cs.LG]Tensor Decompositions in Deep Learning
    Davide Bacciu, Danilo P. Mandic
    http://arxiv.org/abs/2002.11835v1

    • [cs.LG]Testing Monotonicity of Machine Learning Models
    Arnab Sharma, Heike Wehrheim
    http://arxiv.org/abs/2002.12278v1

    • [cs.LG]The Spectral Underpinning of word2vec
    Ariel Jaffe, Yuval Kluger, Ofir Lindenbaum, Jonathan Patsenker, Erez Peterfreund, Stefan Steinerberger
    http://arxiv.org/abs/2002.12317v1

    • [cs.LG]Topology Distance: A Topology-Based Approach For Evaluating Generative Adversarial Networks
    Danijela Horak, Simiao Yu, Gholamreza Salimi-Khorshidi
    http://arxiv.org/abs/2002.12054v1

    • [cs.LG]Training Adversarial Agents to Exploit Weaknesses in Deep Control Policies
    Sampo Kuutti, Saber Fallah, Richard Bowden
    http://arxiv.org/abs/2002.12078v1

    • [cs.LG]Transductive Few-shot Learning with Meta-Learned Confidence
    Seong Min Kye, Hae Beom Lee, Hoirin Kim, Sung Ju Hwang
    http://arxiv.org/abs/2002.12017v1

    • [cs.LG]Understanding and Enhancing Mixed Sample Data Augmentation
    Ethan Harris, Antonia Marcu, Matthew Painter, Mahesan Niranjan, Adam Prügel-Bennett, Jonathon Hare
    http://arxiv.org/abs/2002.12047v1

    • [cs.LG]Using a thousand optimization tasks to learn hyperparameter search strategies
    Luke Metz, Niru Maheswaranathan, Ruoxi Sun, C. Daniel Freeman, Ben Poole, Jascha Sohl-Dickstein
    http://arxiv.org/abs/2002.11887v1

    • [cs.LG]Woodbury Transformations for Deep Generative Flows
    You Lu, Bert Huang
    http://arxiv.org/abs/2002.12229v1

    • [cs.LO]Proceedings 8th International Workshop on Theorem Proving Components for Educational Software
    Pedro Quaresma, Walther Neuper, João Marcos
    http://arxiv.org/abs/2002.11895v1

    • [cs.MA]Learning Optimal Temperature Region for Solving Mixed Integer Functional DCOPs
    Saaduddin Mahmud, Md. Mosaddek Khan, Moumita Choudhury, Long Tran-Thanh, Nicholas R. Jennings
    http://arxiv.org/abs/2002.12001v1

    • [cs.MA]On Local Computation for Optimization in Multi-Agent Systems
    Robin Brown, Federico Rossi, Kiril Solovey, Michael T. Wolf, Marco Pavone
    http://arxiv.org/abs/2002.12313v1

    • [cs.NE]A Deep Unsupervised Feature Learning Spiking Neural Network with Binarized Classification Layers for EMNIST Classification
    Ruthvik Vaila, John Chiasson, Vishal Saxena
    http://arxiv.org/abs/2002.11843v1

    • [cs.NE]A Proto-Object Based Dynamic Visual Saliency Model with an FPGA Implementation
    Jamal Lottier Molin, Chetan Singh Thakur, Ralph Etienne-Cummings, Ernst Niebur
    http://arxiv.org/abs/2002.11898v1

    • [cs.RO]Alpha-N: Shortest Path Finder Automated Delivery Robot with Obstacle Detection and Avoiding System
    A. A. Neloy, R. A. Bindu, S. Alam, R. Haque, M. Saif, A. Khan, N. M. Mishu, S. Siddique
    http://arxiv.org/abs/2002.11913v1

    • [cs.RO]Assembly robots with optimized control stiffness through reinforcement learning
    Masahide Oikawa, Kyo Kutsuzawa, Sho Sakaino, Toshiaki Tsuji
    http://arxiv.org/abs/2002.12207v1

    • [cs.RO]Efficient Multi-Agent Motion Planning in Continuous Workspaces Using Medial-Axis-Based Swap Graphs
    Liang He, Zherong Pan, Biao Jia, Dinesh Manocha
    http://arxiv.org/abs/2002.11892v1

    • [cs.RO]Exploiting Variable Impedance for Energy Efficient Sequential Movements
    Fan Wu, Matthew Howard
    http://arxiv.org/abs/2002.12075v1

    • [cs.RO]Exploration-efficient Deep Reinforcement Learning with Demonstration Guidance for Robot Control
    Ke Lin, Liang Gong, Xudong Li, Te Sun, Binhao Chen, Chengliang Liu, Zhengfeng Zhang, Jian Pu, Junping Zhang
    http://arxiv.org/abs/2002.12089v1

    • [cs.RO]GLAS: Global-to-Local Safe Autonomy Synthesis for Multi-Robot Motion Planning with End-to-End Learning
    Benjamin Rivière, Wolfgang Hoenig, Yisong Yue, Soon-Jo Chung
    http://arxiv.org/abs/2002.11807v1

    • [cs.RO]Globally optimal consensus maximization for robust visual inertial localization in point and line map
    Yanmei Jiao, Yue Wang, Bo Fu, Qimeng Tan, Lei Chen, Shoudong Huang, Rong Xiong
    http://arxiv.org/abs/2002.11905v1

    • [cs.RO]In-Hand Object Pose Tracking via Contact Feedback and GPU-Accelerated Robotic Simulation
    Jacky Liang, Ankur Handa, Karl Van Wyk, Viktor Makoviychuk, Oliver Kroemer, Dieter Fox
    http://arxiv.org/abs/2002.12160v1

    • [cs.RO]Maximising Manipulability During Resolved-Rate Motion Control
    Jesse Haviland, Peter Corke
    http://arxiv.org/abs/2002.11901v1

    • [cs.RO]Posterior Sampling for Anytime Motion Planning on Graphs with Expensive-to-Evaluate Edges
    Brian Hou, Sanjiban Choudhury, Gilwoo Lee, Aditya Mandalika, Siddhartha S. Srinivasa
    http://arxiv.org/abs/2002.11853v1

    • [cs.RO]Safe and Compliant Control of Redundant Robots Using a Stack of Passive Task-Space Controllers
    Carlo Tiseo, Wolfgang Merkt, Wouter Wolfslag, Sethu Vijayakumar, Michael Mistry
    http://arxiv.org/abs/2002.12249v1

    • [cs.RO]Self-Supervised Deep Pose Corrections for Robust Visual Odometry
    Brandon Wagstaff, Valentin Peretroukhin, Jonathan Kelly
    http://arxiv.org/abs/2002.12339v1

    • [cs.RO]Sigma-3: Integration and Analysis of a 6 DOF Robotic Arm Configuration in a Rescue Robot
    R. A. Bindu, A. A. Neloy, S. Alam, N. J Moni, S. Siddique
    http://arxiv.org/abs/2002.11944v1

    • [cs.RO]Technical Report: Reactive Semantic Planning in Unexplored Semantic Environments Using Deep Perceptual Feedback
    Vasileios Vasilopoulos, Georgios Pavlakos, Sean L. Bowman, J. Diego Caporale, Kostas Daniilidis, George J. Pappas, Daniel E. Koditschek
    http://arxiv.org/abs/2002.12349v1

    • [cs.SI]DSSLP: A Distributed Framework for Semi-supervised Link Prediction
    Dalong Zhang, Xianzheng Song, Ziqi Liu, Zhiqiang Zhang, Xin Huang, Lin Wang, Jun Zhou
    http://arxiv.org/abs/2002.12056v1

    • [cs.SI]Junk News & Information Sharing During the 2019 UK General Election
    Nahema Marchal, Bence Kollanyi, Lisa-Maria Neudert, Hubert Au, Philip N. Howard
    http://arxiv.org/abs/2002.12069v1

    • [cs.SI]Node Immunization with Non-backtracking Eigenvalues
    Leo Torres, Kevin S. Chan, Hanghang Tong, Tina Eliassi-Rad
    http://arxiv.org/abs/2002.12309v1

    • [eess.AS]A Density Ratio Approach to Language Model Fusion in End-To-End Automatic Speech Recognition
    Erik McDermott, Hasim Sak, Ehsan Variani
    http://arxiv.org/abs/2002.11268v2

    • [eess.AS]SkinAugment: Auto-Encoding Speaker Conversions for Automatic Speech Translation
    Arya D. McCarthy, Liezl Puzon, Juan Pino
    http://arxiv.org/abs/2002.12231v1

    • [eess.IV]BBAND Index: A No-Reference Banding Artifact Predictor
    Zhengzhong Tu, Jessie Lin, Yilin Wang, Balu Adsumilli, Alan C. Bovik
    http://arxiv.org/abs/2002.11891v1

    • [eess.IV]Coronary Wall Segmentation in CCTA Scans via a Hybrid Net with Contours Regularization
    Kaikai Huang, Antonio Tejero-de-Pablos, Hiroaki Yamane, Yusuke Kurose, Junichi Iho, Youji Tokunaga, Makoto Horie, Keisuke Nishizawa, Yusaku Hayashi, Yasushi Koyama, Tatsuya Harada
    http://arxiv.org/abs/2002.12263v1

    • [eess.IV]Deep Learning Based Cell Parasites Detection
    X. F. Xu, S. Talbot, T. Selvaraja
    http://arxiv.org/abs/2002.11327v1

    • [eess.IV]Multi-Cycle-Consistent Adversarial Networks for CT Image Denoising
    Jinglan Liu, Yukun Ding, Jinjun Xiong, Qianjun Jia, Meiping Huang, Jian Zhuang, Bike Xie, Chun-Chen Liu, Yiyu Shi
    http://arxiv.org/abs/2002.12130v1

    • [eess.IV]Segmentation-based Method combined with Dynamic Programming for Brain Midline Delineation
    Shen Wang, Kongming Liang, Chengwei Pan, Chuyang Ye, Xiuli Li, Feng Liu, Yizhou Yu, Yizhou Wang
    http://arxiv.org/abs/2002.11918v1

    • [eess.IV]Two-stage breast mass detection and segmentation system towards automated high-resolution full mammogram analysis
    Yutong Yan, Pierre-Henri Conze, Gwenolé Quellec, Mathieu Lamard, Béatrice Cochener, Gouenou Coatrieux
    http://arxiv.org/abs/2002.12079v1

    • [eess.IV]Weak Supervision in Convolutional Neural Network for Semantic Segmentation of Diffuse Lung Diseases Using Partially Annotated Dataset
    Yuki Suzuki, Kazuki Yamagata, Yanagawa Masahiro, Shoji Kido, Noriyuki Tomiyama
    http://arxiv.org/abs/2002.11936v1

    • [eess.SP]Energy-Efficient Buffer-Aided Relaying Systems with Opportunistic Spectrum Access
    Kunlun Wang, Qingqing Wu, Wen Chen, Yang Yang, Derrick Wing Kwan Ng
    http://arxiv.org/abs/2002.11954v1

    • [eess.SP]Face Verification Using 60~GHz 802.11 waveforms
    Eran Hof, Amichai Sanderovich, Evyatar Hemo
    http://arxiv.org/abs/2002.11965v1

    • [eess.SP]Low Complexity Iterative Receiver Design for Sparse Code Multiple Access
    Fan Wei, Wen Chen
    http://arxiv.org/abs/2002.12181v1

    • [eess.SP]NOMA Design with Power-Outage Tradeoff for Two-User Systems
    Zeyu Sun, Yindi Jing, Xinwei Yu
    http://arxiv.org/abs/2002.11185v1

    • [eess.SP]Robust Underlay Device-to-Device Communications on Multiple Channels
    Mohamed Elnourani, Siddharth Deshmukh, Baltasar Beferull-Lozano, Daniel Romero
    http://arxiv.org/abs/2002.11500v1

    • [math.OC]LASG: Lazily Aggregated Stochastic Gradients for Communication-Efficient Distributed Learning
    Tianyi Chen, Yuejiao Sun, Wotao Yin
    http://arxiv.org/abs/2002.11360v1

    • [math.OC]Optimization of Graph Total Variation via Active-Set-based Combinatorial Reconditioning
    Zhenzhang Ye, Thomas Möllenhoff, Tao Wu, Daniel Cremers
    http://arxiv.org/abs/2002.12236v1

    • [math.OC]SACBP: Belief Space Planning for Continuous-Time Dynamical Systems via Stochastic Sequential Action Control
    Haruki Nishimura, Mac Schwager
    http://arxiv.org/abs/2002.11775v1

    • [math.PR]Assortativity and bidegree distributions on Bernoulli random graph superpositions
    Mindaugas Bloznelis, Joona Karjalainen, Lasse Leskelä
    http://arxiv.org/abs/2002.11809v1

    • [math.ST]On combining the zero bias transform and the empirical characteristic function to test normality
    Bruno Ebner
    http://arxiv.org/abs/2002.12085v1

    • [math.ST]Uncertainty Quantification for Sparse Deep Learning
    Yuexi Wang, Veronika Ročková
    http://arxiv.org/abs/2002.11815v1

    • [physics.soc-ph]A multi-layer network approach to modelling authorship influence on citation dynamics in physics journals
    Vahan Nanumyan, Christoph Gote, Frank Schweitzer
    http://arxiv.org/abs/2002.12147v1

    • [physics.soc-ph]Unifying susceptible-infected-recovered processes on networks
    Lucas Böttcher, Nino Antulov-Fantulin
    http://arxiv.org/abs/2002.11765v1

    • [q-fin.TR]Using Reinforcement Learning in the Algorithmic Trading Problem
    Evgeny Ponomarev, Ivan Oseledets, Andrzej Cichocki
    http://arxiv.org/abs/2002.11523v1

    • [quant-ph]Finite Block Length Analysis on Quantum Coherence Distillation and Incoherent Randomness Extraction
    Masahito Hayashi, Kun Fang
    http://arxiv.org/abs/2002.12004v1

    • [quant-ph]Quantum Distributed Complexity of Set Disjointness on a Line
    Frederic Magniez, Ashwin Nayak
    http://arxiv.org/abs/2002.11795v1

    • [stat.AP]Assessing causal effects in the presence of treatment switching through principal stratification
    Alessandra Mattei, Fabrizia Mealli, Peng Ding
    http://arxiv.org/abs/2002.11989v1

    • [stat.CO]Computing Shapley Effects for Sensitivity Analysis
    Elmar Plischke, Giovanni Rabitti, Emanuele Borgonovo
    http://arxiv.org/abs/2002.12024v1

    • [stat.ME]Causal inference with limited resources: proportionally-representative interventions
    Aaron L. Sarvet, Kerollos N. Wanis, Jessica Young, Roberto Hernandez-Alejandro, Miguel A. Hernán, Mats J. Stensrud
    http://arxiv.org/abs/2002.11846v1

    • [stat.ME]False Discovery Rate Control Under General Dependence By Symmetrized Data Aggregation
    Lilun Du, Xu Guo, Wenguang Sun, Changliang Zou
    http://arxiv.org/abs/2002.11992v1

    • [stat.ME]Tuning-free ridge estimators for high-dimensional generalized linear models
    Shih-Ting Huang, Fang Xie, Johannes Lederer
    http://arxiv.org/abs/2002.11916v1

    • [stat.ML]Conditional Sampling from Invertible Generative Models with Applications to Inverse Problems
    Erik M. Lindgren, Jay Whang, Alexandros G. Dimakis
    http://arxiv.org/abs/2002.11743v1

    • [stat.ML]Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods
    Daniel Y. Fu, Mayee F. Chen, Frederic Sala, Sarah M. Hooper, Kayvon Fatahalian, Christopher Ré
    http://arxiv.org/abs/2002.11955v1

    • [stat.ML]Max-Affine Spline Insights into Deep Generative Networks
    Randall Balestriero, Sebastien Paris, Richard Baraniuk
    http://arxiv.org/abs/2002.11912v1

    • [stat.ML]MetFlow: A New Efficient Method for Bridging the Gap between Markov Chain Monte Carlo and Variational Inference
    Achille Thin, Nikita Kotelevskii, Jean-Stanislas Denain, Leo Grinsztajn, Alain Durmus, Maxim Panov, Eric Moulines
    http://arxiv.org/abs/2002.12253v1

    • [stat.ML]PAPRIKA: Private Online False Discovery Rate Control
    Wanrong Zhang, Gautam Kamath, Rachel Cummings
    http://arxiv.org/abs/2002.12321v1

    • [stat.ML]Semi-supervised Anomaly Detection on Attributed Graphs
    Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara
    http://arxiv.org/abs/2002.12011v1

    • [stat.ML]Stagewise Enlargement of Batch Size for SGD-based Learning
    Shen-Yi Zhao, Yin-Peng Xie, Wu-Jun Li
    http://arxiv.org/abs/2002.11601v2

    • [stat.ML]State-only Imitation with Transition Dynamics Mismatch
    Tanmay Gangwani, Jian Peng
    http://arxiv.org/abs/2002.11879v1