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
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• [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