astro-ph.IM - 仪器仪表和天体物理学方法

    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.DL - 数字图书馆 cs.DM - 离散数学 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.NE - 神经与进化计算 cs.PL - 编程语言 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 hep-lat - 高能物理晶格 math.CO - 组合数学 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-bio.QM - 定量方法 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.IM]Self-Supervised Representation Learning for Astronomical Images
    • [cs.AI]Adaptive Summaries: A Personalized Concept-based Summarization Approach by Learning from Users’ Feedback
    • [cs.AI]Awareness Logic: A Kripke-based Rendition of the Heifetz-Meier-Schipper Model
    • [cs.AI]Detecting Hate Speech in Memes Using Multimodal Deep Learning Approaches: Prize-winning solution to Hateful Memes Challenge
    • [cs.AI]Generalization in portfolio-based algorithm selection
    • [cs.AI]Hierarchical Planning for Resource Allocation in Emergency Response Systems
    • [cs.AI]LCEval: Learned Composite Metric for Caption Evaluation
    • [cs.AI]Leveraging GPT-2 for Classifying Spam Reviews with Limited Labeled Data via Adversarial Training
    • [cs.AI]Predicting Seminal Quality with the Dominance-Based Rough Sets Approach
    • [cs.AI]Rethink AI-based Power Grid Control: Diving Into Algorithm Design
    • [cs.AI]SPOTTER: Extending Symbolic Planning Operators through Targeted Reinforcement Learning
    • [cs.AI]Towards a Formal Framework for Partial Compliance of Business Processes
    • [cs.CL]A Context Aware Approach for Generating Natural Language Attacks
    • [cs.CL]A Multimodal Framework for the Detection of Hateful Memes
    • [cs.CL]Co-GAT: A Co-Interactive Graph Attention Network for Joint Dialog Act Recognition and Sentiment Classification
    • [cs.CL]Code Switching Language Model Using Monolingual Training Data
    • [cs.CL]Cross-lingual Dependency Parsing as Domain Adaptation
    • [cs.CL]Disentangling semantics in language throughs VAEs and a certain architectural choice
    • [cs.CL]Gender Bias in Multilingual Neural Machine Translation: The Architecture Matters
    • [cs.CL]I like fish, especially dolphins: Addressing Contradictions in Dialogue Modelling
    • [cs.CL]Improved Biomedical Word Embeddings in the Transformer Era
    • [cs.CL]Multi-modal Identification of State-Sponsored Propaganda on Social Media
    • [cs.CL]ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language
    • [cs.CL]QUACKIE: A NLP Classification Task With Ground Truth Explanations
    • [cs.CL]REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement
    • [cs.CL]Recognizing Emotion Cause in Conversations
    • [cs.CL]Sentence-Based Model Agnostic NLP Interpretability
    • [cs.CL]Speech Synthesis as Augmentation for Low-Resource ASR
    • [cs.CL]SubICap: Towards Subword-informed Image Captioning
    • [cs.CL]To what extent do human explanations of model behavior align with actual model behavior?
    • [cs.CL]g2tmn at Constraint@AAAI2021: Exploiting CT-BERT and Ensembling Learning for COVID-19 Fake News Detection
    • [cs.CR]Fuzzy Commitments Offer Insufficient Protection to Biometric Templates Produced by Deep Learning
    • [cs.CV]A non-alternating graph hashing algorithm for large scale image search
    • [cs.CV]Adversarial Momentum-Contrastive Pre-Training
    • [cs.CV]Appearance-Invariant 6-DoF Visual Localization using Generative Adversarial Networks
    • [cs.CV]Control of computer pointer using hand gesture recognition in motion pictures
    • [cs.CV]Convolutional Neural Network for Elderly Wandering Prediction in Indoor Scenarios
    • [cs.CV]Deep Learning-Based Human Pose Estimation: A Survey
    • [cs.CV]Dynamic Facial Expression Recognition under Partial Occlusion with Optical Flow Reconstruction
    • [cs.CV]EDN: Salient Object Detection via Extremely-Downsampled Network
    • [cs.CV]FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training
    • [cs.CV]Global Context Networks
    • [cs.CV]Hausdorff Point Convolution with Geometric Priors
    • [cs.CV]Interpolating Points on a Non-Uniform Grid using a Mixture of Gaussians
    • [cs.CV]Low-latency Perception in Off-Road Dynamical Low Visibility Environments
    • [cs.CV]MRDet: A Multi-Head Network for Accurate Oriented Object Detection in Aerial Images
    • [cs.CV]Memory-Efficient Hierarchical Neural Architecture Search for Image Restoration
    • [cs.CV]MobileSal: Extremely Efficient RGB-D Salient Object Detection
    • [cs.CV]Objective Class-based Micro-Expression Recognition through Simultaneous Action Unit Detection and Feature Aggregation
    • [cs.CV]P4Contrast: Contrastive Learning with Pairs of Point-Pixel Pairs for RGB-D Scene Understanding
    • [cs.CV]Person Re-Identification using Deep Learning Networks: A Systematic Review
    • [cs.CV]Physics-based Shadow Image Decomposition for Shadow Removal
    • [cs.CV]Private-Shared Disentangled Multimodal VAE for Learning of Hybrid Latent Representations
    • [cs.CV]Rotation Equivariant Siamese Networks for Tracking
    • [cs.CV]Seed Phenotyping on Neural Networks using Domain Randomization and Transfer Learning
    • [cs.CV]Semantic Segmentation on Swiss3DCities: A Benchmark Study on Aerial Photogrammetric 3D Pointcloud Dataset
    • [cs.CV]SyNet: An Ensemble Network for Object Detection in UAV Images
    • [cs.CV]Task-Adaptive Negative Class Envision for Few-Shot Open-Set Recognition
    • [cs.CV]Union-net: A deep neural network model adapted to small data sets
    • [cs.CV]Unsupervised deep clustering and reinforcement learning can accurately segment MRI brain tumors with very small training sets
    • [cs.CV]Unveiling Real-Life Effects of Online Photo Sharing
    • [cs.CV]WEmbSim: A Simple yet Effective Metric for Image Captioning
    • [cs.CY]Antitrust and Artificial Intelligence (AAI): Antitrust Vigilance Lifecycle and AI Legal Reasoning Autonomy
    • [cs.CY]Quantifying the Privacy-Utility Trade-offs in COVID-19 Contact Tracing Apps
    • [cs.CY]Timely Tracking of Infection Status of Individuals in a Population
    • [cs.CY]Towards a common performance and effectiveness terminology for digital proximity tracing applications
    • [cs.DL]Nine Best Practices for Research Software Registries and Repositories: A Concise Guide
    • [cs.DM]Grapth Theory in the Classification of Information Systems
    • [cs.IR]A Frequency-Based Learning-To-Rank Approach for Personal Digital Traces
    • [cs.IR]A Hybrid Bandit Framework for Diversified Recommendation
    • [cs.IR]THUIR@COLIEE-2020: Leveraging Semantic Understanding and Exact Matching for Legal Case Retrieval and Entailment
    • [cs.IR]Understanding and Predicting the Characteristics of Test Collections
    • [cs.IT]Analysis and Design of Partially Information- and Partially Parity-Coupled Turbo Codes
    • [cs.IT]Distortion-Aware Linear Precoding for Massive MIMO Downlink Systems with Nonlinear Power Amplifiers
    • [cs.IT]Linear complementary pair of group codes over finite principal ideal rings
    • [cs.IT]Optimal Resource Allocation for Multi-UAV Assisted Visible Light Communication
    • [cs.IT]Parallelism versus Latency in Simplified Successive-Cancellation Decoding of Polar Codes
    • [cs.IT]Secure Wireless Communication in RIS-Aided MISO Systems with Hardware Impairments
    • [cs.IT]Spectral Ranking of Causal Influence in Complex Systems
    • [cs.IT]The Age of Incorrect Information: an Enabler of Semantics-Empowered Communication
    • [cs.IT]Towards Radio Designs with Non-Linear Processing for Next Generation Mobile Systems
    • [cs.LG]A Physics-Informed Deep Learning Paradigm for Car-Following Models
    • [cs.LG]A Regret bound for Non-stationary Multi-Armed Bandits with Fairness Constraints
    • [cs.LG]A Survey on Spatial and Spatiotemporal Prediction Methods
    • [cs.LG]A Tight Lower Bound for Uniformly Stable Algorithms
    • [cs.LG]Active Deep Learning on Entity Resolution by Risk Sampling
    • [cs.LG]An Active Learning Method for Diabetic Retinopathy Classification with Uncertainty Quantification
    • [cs.LG]Assured RL: Reinforcement Learning with Almost Sure Constraints
    • [cs.LG]AsymptoticNG: A regularized natural gradient optimization algorithm with look-ahead strategy
    • [cs.LG]Augmenting Policy Learning with Routines Discovered from a Demonstration
    • [cs.LG]Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search
    • [cs.LG]Cooperative Policy Learning with Pre-trained Heterogeneous Observation Representations
    • [cs.LG]Decentralized Federated Learning via Mutual Knowledge Transfer
    • [cs.LG]Deep Semi-Supervised Embedded Clustering (DSEC) for Stratification of Heart Failure Patients
    • [cs.LG]Detecting Hateful Memes Using a Multimodal Deep Ensemble
    • [cs.LG]Exploring Adversarial Examples via Invertible Neural Networks
    • [cs.LG]General Domain Adaptation Through Proportional Progressive Pseudo Labeling
    • [cs.LG]Improving the Certified Robustness of Neural Networks via Consistency Regularization
    • [cs.LG]Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning
    • [cs.LG]K-Means Kernel Classifier
    • [cs.LG]Learning Vehicle Routing Problems using Policy Optimisation
    • [cs.LG]Learning by Self-Explanation, with Application to Neural Architecture Search
    • [cs.LG]Learning from Crowds by Modeling Common Confusions
    • [cs.LG]Learning with Retrospection
    • [cs.LG]Leave Zero Out: Towards a No-Cross-Validation Approach for Model Selection
    • [cs.LG]Memory-Gated Recurrent Networks
    • [cs.LG]On Batch Normalisation for Approximate Bayesian Inference
    • [cs.LG]On Using Classification Datasets to Evaluate Graph Outlier Detection: Peculiar Observations and New Insights
    • [cs.LG]Pain Assessment based on fNIRS using Bidirectional LSTMs
    • [cs.LG]Parallel-beam X-ray CT datasets of apples with internal defects and label balancing for machine learning
    • [cs.LG]RBM-Flow and D-Flow: Invertible Flows with Discrete Energy Base Spaces
    • [cs.LG]Regret Bound Balancing and Elimination for Model Selection in Bandits and RL
    • [cs.LG]SCC: an efficient deep reinforcement learning agent mastering the game of StarCraft II
    • [cs.LG]Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs
    • [cs.LG]Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks
    • [cs.LG]Soft-IntroVAE: Analyzing and Improving the Introspective Variational Autoencoder
    • [cs.LG]Unsupervised neural adaptation model based on optimal transport for spoken language identification
    • [cs.LG]Upper Confidence Bounds for Combining Stochastic Bandits
    • [cs.LG]Using vis-NIRS and Machine Learning methods to diagnose sugarcane soil chemical properties
    • [cs.LG]Variational Determinant Estimation with Spherical Normalizing Flows
    • [cs.LG]Vector-output ReLU Neural Network Problems are Copositive Programs: Convex Analysis of Two Layer Networks and Polynomial-time Algorithms
    • [cs.MA]Distributed Multi-object Tracking under Limited Field of View Sensors
    • [cs.NE]Sensitivity — Local Index to Control Chaoticity or Gradient Globally
    • [cs.PL]Representing Partial Programs with Blended Abstract Semantics
    • [cs.RO]A Generalized A* Algorithm for Finding Globally Optimal Paths in Weighted Colored Graphs
    • [cs.RO]Effective Deployment of CNNs for 3DoF Pose Estimation and Grasping in Industrial Settings
    • [cs.RO]Evolutionary Gait Transfer of Multi-Legged Robots in Complex Terrains
    • [cs.RO]Mesh Based Analysis of Low Fractal Dimension ReinforcementLearning Policies
    • [cs.RO]On Radiation-Based Thermal Servoing: New Models, Controls and Experiments
    • [cs.RO]Path Planning of Unmanned System using Carrot-chasing Algorithm
    • [cs.RO]Robotic Following of Flexible Extended Objects: Relevant Technical Facts on the Kinematics of a Moving Continuum
    • [cs.RO]Simulation of Vision-based Tactile Sensors using Physics based Rendering
    • [cs.RO]Superhuman Surgical Peg Transfer Using Depth-Sensing and Deep Recurrent Neural Networks
    • [cs.RO]Tunnel Facility-based Vehicle Localization in Highway Tunnel using 3D LIDAR
    • [cs.SI]Correlations among Game of Thieves and other centrality measures in complex networks
    • [eess.AS]Wheel-Rail Interface Condition Estimation (W-RICE)
    • [eess.IV]An Efficient Recurrent Adversarial Framework for Unsupervised Real-Time Video Enhancement
    • [eess.IV]Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrast
    • [eess.IV]LEUGAN:Low-Light Image Enhancement by Unsupervised Generative Attentional Networks
    • [eess.IV]Spatio-temporal Multi-task Learning for Cardiac MRI Left Ventricle Quantification
    • [eess.IV]UMLE: Unsupervised Multi-discriminator Network for Low Light Enhancement
    • [eess.IV]White matter hyperintensities volume and cognition: Assessment of a deep learning based lesion detection and quantification algorithm on the Alzheimers Disease Neuroimaging Initiative
    • [eess.SP]Eurythmic Dancing with Plants — Measuring Plant Response to Human Body Movement in an Anthroposophic Environment
    • [eess.SP]Quickest Detection over Sensor Networks with Unknown Post-Change Distribution
    • [hep-lat]Lattice gauge equivariant convolutional neural networks
    • [math.CO]An Information-Theoretic Proof of a Bound on the Number of Independent Sets in Bipartite Graphs
    • [math.OC]Global Convergence of Model Function Based Bregman Proximal Minimization Algorithms
    • [math.OC]Solving Mixed Integer Programs Using Neural Networks
    • [math.PR]An Interpolating Family of size distributions
    • [math.ST]Bivariate Densities in Bayes Spaces: Orthogonal Decomposition and Spline Representation
    • [math.ST]Calibration and Uncertainty Quantification of Convective Parameters in an Idealized GCM
    • [math.ST]Dependence of variance on covariate design in nonparametric link regression
    • [math.ST]Nonparametric approximation of conditional expectation operators
    • [math.ST]On Statistical Efficiency in Learning
    • [math.ST]Regression in Nonstandard Spaces with Fréchet and Geodesic Approaches
    • [physics.soc-ph]Characterizing the COVID-19 Transmission in South Korea Using the KCDC Patient Data
    • [physics.soc-ph]Concurrency measures in the era of temporal network epidemiology: A review
    • [q-bio.QM]AttentionDDI: Siamese Attention-based Deep Learning method for drug-drug interaction predictions
    • [q-bio.QM]The necessity and power of random, under-sampled experiments in biology
    • [stat.AP]Filtering the intensity of public concern from social media count data with jumps
    • [stat.ME]Bayesian prognostic covariate adjustment
    • [stat.ME]Causal Inference Using Linear Time-Varying Filters with Additive Noise
    • [stat.ME]Correlated Wishart Matrices Classification via an Expectation-Maximization Composite Likelihood-Based Algorithm
    • [stat.ME]Kryging: Geostatistical analysis of large-scale datasets using Krylov subspace methods
    • [stat.ME]Prevalence Estimation from Random Samples and Census Data with Participation Bias
    • [stat.ME]Robust penalized spline estimation with difference penalties
    • [stat.ML]High-Dimensional Bayesian Optimization via Tree-Structured Additive Models

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

    • [astro-ph.IM]Self-Supervised Representation Learning for Astronomical Images
    Md Abul Hayat, George Stein, Peter Harrington, Zarija Lukić, Mustafa Mustafa
    http://arxiv.org/abs/2012.13083v1

    • [cs.AI]Adaptive Summaries: A Personalized Concept-based Summarization Approach by Learning from Users’ Feedback
    Samira Ghodratnama, Mehrdad Zakershahrak, Fariborz Sobhanmanesh
    http://arxiv.org/abs/2012.13387v1

    • [cs.AI]Awareness Logic: A Kripke-based Rendition of the Heifetz-Meier-Schipper Model
    Gaia Belardinelli, Rasmus K. Rendsvig
    http://arxiv.org/abs/2012.12982v1

    • [cs.AI]Detecting Hate Speech in Memes Using Multimodal Deep Learning Approaches: Prize-winning solution to Hateful Memes Challenge
    Riza Velioglu, Jewgeni Rose
    http://arxiv.org/abs/2012.12975v1

    • [cs.AI]Generalization in portfolio-based algorithm selection
    Maria-Florina Balcan, Tuomas Sandholm, Ellen Vitercik
    http://arxiv.org/abs/2012.13315v1

    • [cs.AI]Hierarchical Planning for Resource Allocation in Emergency Response Systems
    Geoffrey Pettet, Ayan Mukhopadhyay, Mykel Kochenderfer, Abhishek Dubey
    http://arxiv.org/abs/2012.13300v1

    • [cs.AI]LCEval: Learned Composite Metric for Caption Evaluation
    Naeha Sharif, Lyndon White, Mohammed Bennamoun, Wei Liu, Syed Afaq Ali Shah
    http://arxiv.org/abs/2012.13136v1

    • [cs.AI]Leveraging GPT-2 for Classifying Spam Reviews with Limited Labeled Data via Adversarial Training
    Athirai A. Irissappane, Hanfei Yu, Yankun Shen, Anubha Agrawal, Gray Stanton
    http://arxiv.org/abs/2012.13400v1

    • [cs.AI]Predicting Seminal Quality with the Dominance-Based Rough Sets Approach
    Nassim Dehouche
    http://arxiv.org/abs/2012.13204v1

    • [cs.AI]Rethink AI-based Power Grid Control: Diving Into Algorithm Design
    Xiren Zhou, Siqi Wang, Ruisheng Diao, Desong Bian, Jiahui Duan, Di Shi
    http://arxiv.org/abs/2012.13026v1

    • [cs.AI]SPOTTER: Extending Symbolic Planning Operators through Targeted Reinforcement Learning
    Vasanth Sarathy, Daniel Kasenberg, Shivam Goel, Jivko Sinapov, Matthias Scheutz
    http://arxiv.org/abs/2012.13037v1

    • [cs.AI]Towards a Formal Framework for Partial Compliance of Business Processes
    Ho-Pun Lam, Mustafa Hashmi, Akhil Kumar
    http://arxiv.org/abs/2012.13219v1

    • [cs.CL]A Context Aware Approach for Generating Natural Language Attacks
    Rishabh Maheshwary, Saket Maheshwary, Vikram Pudi
    http://arxiv.org/abs/2012.13339v1

    • [cs.CL]A Multimodal Framework for the Detection of Hateful Memes
    Phillip Lippe, Nithin Holla, Shantanu Chandra, Santhosh Rajamanickam, Georgios Antoniou, Ekaterina Shutova, Helen Yannakoudakis
    http://arxiv.org/abs/2012.12871v2

    • [cs.CL]Co-GAT: A Co-Interactive Graph Attention Network for Joint Dialog Act Recognition and Sentiment Classification
    Libo Qin, Zhouyang Li, Wanxiang Che, Minheng Ni, Ting Liu
    http://arxiv.org/abs/2012.13260v1

    • [cs.CL]Code Switching Language Model Using Monolingual Training Data
    Asad Ullah, Tauseef Ahmed
    http://arxiv.org/abs/2012.12543v2

    • [cs.CL]Cross-lingual Dependency Parsing as Domain Adaptation
    Kailai Sun, Zuchao Li, Hai Zhao
    http://arxiv.org/abs/2012.13163v1

    • [cs.CL]Disentangling semantics in language throughs VAEs and a certain architectural choice
    Ghazi Felhi, Joseph Le Roux, Djamé Seddah
    http://arxiv.org/abs/2012.13031v1

    • [cs.CL]Gender Bias in Multilingual Neural Machine Translation: The Architecture Matters
    Marta R. Costa-jussà, Carlos Escolano, Christine Basta, Javier Ferrando, Roser Batlle, Ksenia Kharitonova
    http://arxiv.org/abs/2012.13176v1

    • [cs.CL]I like fish, especially dolphins: Addressing Contradictions in Dialogue Modelling
    Yixin Nie, Mary Williamson, Mohit Bansal, Douwe Kiela, Jason Weston
    http://arxiv.org/abs/2012.13391v1

    • [cs.CL]Improved Biomedical Word Embeddings in the Transformer Era
    Jiho Noh, Ramakanth Kavuluru
    http://arxiv.org/abs/2012.11808v2

    • [cs.CL]Multi-modal Identification of State-Sponsored Propaganda on Social Media
    Xiaobo Guo, Soroush Vosoughi
    http://arxiv.org/abs/2012.13042v1

    • [cs.CL]ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language
    Oyvind Tafjord, Bhavana Dalvi Mishra, Peter Clark
    http://arxiv.org/abs/2012.13048v1

    • [cs.CL]QUACKIE: A NLP Classification Task With Ground Truth Explanations
    Yves Rychener, Xavier Renard, Djamé Seddah, Pascal Frossard, Marcin Detyniecki
    http://arxiv.org/abs/2012.13190v1

    • [cs.CL]REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement
    Yinya Huang, Meng Fang, Xunlin Zhan, Qingxing Cao, Xiaodan Liang, Liang Lin
    http://arxiv.org/abs/2012.13185v1

    • [cs.CL]Recognizing Emotion Cause in Conversations
    Soujanya Poria, Navonil Majumder, Devamanyu Hazarika, Deepanway Ghosal, Rishabh Bhardwaj, Samson Yu Bai Jian, Romila Ghosh, Niyati Chhaya, Alexander Gelbukh, Rada Mihalcea
    http://arxiv.org/abs/2012.11820v2

    • [cs.CL]Sentence-Based Model Agnostic NLP Interpretability
    Yves Rychener, Xavier Renard, Djamé Seddah, Pascal Frossard, Marcin Detyniecki
    http://arxiv.org/abs/2012.13189v1

    • [cs.CL]Speech Synthesis as Augmentation for Low-Resource ASR
    Deblin Bagchi, Shannon Wotherspoon, Zhuolin Jiang, Prasanna Muthukumar
    http://arxiv.org/abs/2012.13004v1

    • [cs.CL]SubICap: Towards Subword-informed Image Captioning
    Naeha Sharif, Mohammed Bennamoun, Wei Liu, Syed Afaq Ali Shah
    http://arxiv.org/abs/2012.13122v1

    • [cs.CL]To what extent do human explanations of model behavior align with actual model behavior?
    Grusha Prasad, Yixin Nie, Mohit Bansal, Robin Jia, Douwe Kiela, Adina Williams
    http://arxiv.org/abs/2012.13354v1

    • [cs.CL]g2tmn at Constraint@AAAI2021: Exploiting CT-BERT and Ensembling Learning for COVID-19 Fake News Detection
    Anna Glazkova, Maksim Glazkov, Timofey Trifonov
    http://arxiv.org/abs/2012.11967v2

    • [cs.CR]Fuzzy Commitments Offer Insufficient Protection to Biometric Templates Produced by Deep Learning
    Danny Keller, Margarita Osadchy, Orr Dunkelman
    http://arxiv.org/abs/2012.13293v1

    • [cs.CV]A non-alternating graph hashing algorithm for large scale image search
    Sobhan Hemati, Mohammad Hadi Mehdizavareh, Shojaeddin Chenouri, Hamid R Tizhoosh
    http://arxiv.org/abs/2012.13138v1

    • [cs.CV]Adversarial Momentum-Contrastive Pre-Training
    Cong Xu, Min Yang
    http://arxiv.org/abs/2012.13154v1

    • [cs.CV]Appearance-Invariant 6-DoF Visual Localization using Generative Adversarial Networks
    Yimin Lin, Jianfeng Huang, Shiguo Lian
    http://arxiv.org/abs/2012.13191v1

    • [cs.CV]Control of computer pointer using hand gesture recognition in motion pictures
    Yalda Foroutan, Ahmad Kalhor, Saeid Mohammadi Nejati, Samad Sheikhaei
    http://arxiv.org/abs/2012.13188v1

    • [cs.CV]Convolutional Neural Network for Elderly Wandering Prediction in Indoor Scenarios
    Rafael F. C. Oliveira, Fabio Barreto, Raphael Abreu
    http://arxiv.org/abs/2012.12987v1

    • [cs.CV]Deep Learning-Based Human Pose Estimation: A Survey
    Ce Zheng, Wenhan Wu, Taojiannan Yang, Sijie Zhu, Chen Chen, Ruixu Liu, Ju Shen, Nasser Kehtarnavaz, Mubarak Shah
    http://arxiv.org/abs/2012.13392v1

    • [cs.CV]Dynamic Facial Expression Recognition under Partial Occlusion with Optical Flow Reconstruction
    Delphine Poux, Benjamin Allaert, Nacim Ihaddadene, Ioan Marius Bilasco, Chaabane Djeraba, Mohammed Bennamoun
    http://arxiv.org/abs/2012.13217v1

    • [cs.CV]EDN: Salient Object Detection via Extremely-Downsampled Network
    Yu-Huan Wu, Yun Liu, Le Zhang, Ming-Ming Cheng
    http://arxiv.org/abs/2012.13093v1

    • [cs.CV]FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training
    Yonggan Fu, Haoran You, Yang Zhao, Yue Wang, Chaojian Li, Kailash Gopalakrishnan, Zhangyang Wang, Yingyan Lin
    http://arxiv.org/abs/2012.13113v1

    • [cs.CV]Global Context Networks
    Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu
    http://arxiv.org/abs/2012.13375v1

    • [cs.CV]Hausdorff Point Convolution with Geometric Priors
    Pengdi Huang, Liqiang Lin, Fuyou Xue, Kai Xu, Danny Cohen-Or, Hui Huang
    http://arxiv.org/abs/2012.13118v1

    • [cs.CV]Interpolating Points on a Non-Uniform Grid using a Mixture of Gaussians
    Ivan Skorokhodov
    http://arxiv.org/abs/2012.13257v1

    • [cs.CV]Low-latency Perception in Off-Road Dynamical Low Visibility Environments
    Nelson Alves, Marco Ruiz, Marco Reis, Tiago Cajahyba, Davi Oliveira, Ana Barreto, Eduardo F. Simas Filho, Wagner L. A. de Oliveira, Leizer Schnitman, Roberto L. S. Monteiro
    http://arxiv.org/abs/2012.13014v1

    • [cs.CV]MRDet: A Multi-Head Network for Accurate Oriented Object Detection in Aerial Images
    Ran Qin, Qingjie Liu, Guangshuai Gao, Di Huang, Yunhong Wang
    http://arxiv.org/abs/2012.13135v1

    • [cs.CV]Memory-Efficient Hierarchical Neural Architecture Search for Image Restoration
    Haokui Zhang, Ying Li, Chengrong Gong, Hao Chen, Zongwen Bai, Chunhua Shen
    http://arxiv.org/abs/2012.13212v1

    • [cs.CV]MobileSal: Extremely Efficient RGB-D Salient Object Detection
    Yu-Huan Wu, Yun Liu, Jun Xu, Jia-Wang Bian, Yuchao Gu, Ming-Ming Cheng
    http://arxiv.org/abs/2012.13095v1

    • [cs.CV]Objective Class-based Micro-Expression Recognition through Simultaneous Action Unit Detection and Feature Aggregation
    Ling Zhou, Qirong Mao, Ming Dong
    http://arxiv.org/abs/2012.13148v1

    • [cs.CV]P4Contrast: Contrastive Learning with Pairs of Point-Pixel Pairs for RGB-D Scene Understanding
    Yunze Liu, Li Yi, Shanghang Zhang, Qingnan Fan, Thomas Funkhouser, Hao Dong
    http://arxiv.org/abs/2012.13089v1

    • [cs.CV]Person Re-Identification using Deep Learning Networks: A Systematic Review
    Ankit Yadav, Dinesh Kumar Vishwakarma
    http://arxiv.org/abs/2012.13318v1

    • [cs.CV]Physics-based Shadow Image Decomposition for Shadow Removal
    Hieu Le, Dimitris Samaras
    http://arxiv.org/abs/2012.13018v1

    • [cs.CV]Private-Shared Disentangled Multimodal VAE for Learning of Hybrid Latent Representations
    Mihee Lee, Vladimir Pavlovic
    http://arxiv.org/abs/2012.13024v1

    • [cs.CV]Rotation Equivariant Siamese Networks for Tracking
    Deepak K. Gupta, Devanshu Arya, Efstratios Gavves
    http://arxiv.org/abs/2012.13078v1

    • [cs.CV]Seed Phenotyping on Neural Networks using Domain Randomization and Transfer Learning
    Venkat Margapuri, Mitchell Neilsen
    http://arxiv.org/abs/2012.13259v1

    • [cs.CV]Semantic Segmentation on Swiss3DCities: A Benchmark Study on Aerial Photogrammetric 3D Pointcloud Dataset
    Gülcan Can, Dario Mantegazza, Gabriele Abbate, Sébastien Chappuis, Alessandro Giusti
    http://arxiv.org/abs/2012.12996v1

    • [cs.CV]SyNet: An Ensemble Network for Object Detection in UAV Images
    Berat Mert Albaba, Sedat Ozer
    http://arxiv.org/abs/2012.12991v1

    • [cs.CV]Task-Adaptive Negative Class Envision for Few-Shot Open-Set Recognition
    Shiyuan Huang, Jiawei Ma, Guangxing Han, Shih-Fu Chang
    http://arxiv.org/abs/2012.13073v1

    • [cs.CV]Union-net: A deep neural network model adapted to small data sets
    Qingfang He, Guang Cheng, Zhiying Lin
    http://arxiv.org/abs/2012.13044v1

    • [cs.CV]Unsupervised deep clustering and reinforcement learning can accurately segment MRI brain tumors with very small training sets
    Joseph Stember, Hrithwik Shalu
    http://arxiv.org/abs/2012.13321v1

    • [cs.CV]Unveiling Real-Life Effects of Online Photo Sharing
    Van-Khoa Nguyen, Adrian Popescu, Jerome Deshayes-Chossart
    http://arxiv.org/abs/2012.13180v1

    • [cs.CV]WEmbSim: A Simple yet Effective Metric for Image Captioning
    Naeha Sharif, Lyndon White, Mohammed Bennamoun, Wei Liu, Syed Afaq Ali Shah
    http://arxiv.org/abs/2012.13137v1

    • [cs.CY]Antitrust and Artificial Intelligence (AAI): Antitrust Vigilance Lifecycle and AI Legal Reasoning Autonomy
    Lance Eliot
    http://arxiv.org/abs/2012.13016v1

    • [cs.CY]Quantifying the Privacy-Utility Trade-offs in COVID-19 Contact Tracing Apps
    Patrick Ocheja, Yang Cao, Shiyao Ding, Masatoshi Yoshikawa
    http://arxiv.org/abs/2012.13061v1

    • [cs.CY]Timely Tracking of Infection Status of Individuals in a Population
    Melih Bastopcu, Sennur Ulukus
    http://arxiv.org/abs/2012.13393v1

    • [cs.CY]Towards a common performance and effectiveness terminology for digital proximity tracing applications
    Justus Benzler, Dan Bogdanov, Göran Kirchner, Wouter Lueks, Raquel Lucas, Rui Oliveira, Bart Preneel, Marcel Salathe, Carmela Troncoso, Viktor von Wyl
    http://arxiv.org/abs/2012.12927v1

    • [cs.DL]Nine Best Practices for Research Software Registries and Repositories: A Concise Guide
    Task Force on Best Practices for Software Registries, :, Alain Monteil, Alejandra Gonzalez-Beltran, Alexandros Ioannidis, Alice Allen, Allen Lee, Anita Bandrowski, Bruce E. Wilson, Bryce Mecum, Cai Fan Du, Carly Robinson, Daniel Garijo, Daniel S. Katz, David Long, Genevieve Milliken, Hervé Ménager, Jessica Hausman, Jurriaan H. Spaaks, Katrina Fenlon, Kristin Vanderbilt, Lorraine Hwang, Lynn Davis, Martin Fenner, Michael R. Crusoe, Michael Hucka, Mingfang Wu, Neil Chue Hong, Peter Teuben, Shelley Stall, Stephan Druskat, Ted Carnevale, Thomas Morrell
    http://arxiv.org/abs/2012.13117v1

    • [cs.DM]Grapth Theory in the Classification of Information Systems
    Daniel Zentai
    http://arxiv.org/abs/2012.13182v1

    • [cs.IR]A Frequency-Based Learning-To-Rank Approach for Personal Digital Traces
    Daniela Vianna, Amélie Marian
    http://arxiv.org/abs/2012.13114v1

    • [cs.IR]A Hybrid Bandit Framework for Diversified Recommendation
    Qinxu Ding, Yong Liu, Chunyan Miao, Fei Cheng, Haihong Tang
    http://arxiv.org/abs/2012.13245v1

    • [cs.IR]THUIR@COLIEE-2020: Leveraging Semantic Understanding and Exact Matching for Legal Case Retrieval and Entailment
    Yunqiu Shao, Bulou Liu, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma
    http://arxiv.org/abs/2012.13102v1

    • [cs.IR]Understanding and Predicting the Characteristics of Test Collections
    Md Mustafizur Rahman, Mucahid Kutlu, Matthew Lease
    http://arxiv.org/abs/2012.13292v1

    • [cs.IT]Analysis and Design of Partially Information- and Partially Parity-Coupled Turbo Codes
    Min Qiu, Xiaowei Wu, Alexandre Graell i Amat, Jinhong Yuan
    http://arxiv.org/abs/2012.13082v1

    • [cs.IT]Distortion-Aware Linear Precoding for Massive MIMO Downlink Systems with Nonlinear Power Amplifiers
    Sina Rezaei Aghdam, Sven Jacobsson, Ulf Gustavsson, Giuseppe Durisi, Christoph Studer, Thomas Eriksson
    http://arxiv.org/abs/2012.13337v1

    • [cs.IT]Linear complementary pair of group codes over finite principal ideal rings
    Hualu Liu, Xiusheng Liu
    http://arxiv.org/abs/2012.13239v1

    • [cs.IT]Optimal Resource Allocation for Multi-UAV Assisted Visible Light Communication
    Yihan Cang, Ming Chen, Zhaohui Yang, Mingzhe Chen, Chongwen Huang
    http://arxiv.org/abs/2012.13200v1

    • [cs.IT]Parallelism versus Latency in Simplified Successive-Cancellation Decoding of Polar Codes
    Seyyed Ali Hashemi, Marco Mondelli, Arman Fazeli, Alexander Vardy, John Cioffi, Andrea Goldsmith
    http://arxiv.org/abs/2012.13378v1

    • [cs.IT]Secure Wireless Communication in RIS-Aided MISO Systems with Hardware Impairments
    Gui Zhou, Cunhua Pan, Hong Ren, Kezhi Wang, Zhangjie Peng
    http://arxiv.org/abs/2012.12733v2

    • [cs.IT]Spectral Ranking of Causal Influence in Complex Systems
    Errol Zalmijn, Tom Heskes, Tom Claassen
    http://arxiv.org/abs/2012.13195v1

    • [cs.IT]The Age of Incorrect Information: an Enabler of Semantics-Empowered Communication
    Ali Maatouk, Mohamad Assaad, Anthony Ephremides
    http://arxiv.org/abs/2012.13214v1

    • [cs.IT]Towards Radio Designs with Non-Linear Processing for Next Generation Mobile Systems
    Konstantinos Nikitopoulos, Marcin Filo, Chathura Jayawardena, Rahim Tafazolli
    http://arxiv.org/abs/2012.13371v1

    • [cs.LG]A Physics-Informed Deep Learning Paradigm for Car-Following Models
    Zhaobin Mo, Xuan Di, Rongye Shi
    http://arxiv.org/abs/2012.13376v1

    • [cs.LG]A Regret bound for Non-stationary Multi-Armed Bandits with Fairness Constraints
    Shaarad A. R, Ambedkar Dukkipati
    http://arxiv.org/abs/2012.13380v1

    • [cs.LG]A Survey on Spatial and Spatiotemporal Prediction Methods
    Zhe Jiang
    http://arxiv.org/abs/2012.13384v1

    • [cs.LG]A Tight Lower Bound for Uniformly Stable Algorithms
    Qinghua Liu, Zhou Lu
    http://arxiv.org/abs/2012.13326v1

    • [cs.LG]Active Deep Learning on Entity Resolution by Risk Sampling
    Youcef Nafa, Qun Chen, Zhaoqiang Chen, Xingyu Lu, Haiyang He, Tianyi Duan, Zhanhuai Li
    http://arxiv.org/abs/2012.12960v1

    • [cs.LG]An Active Learning Method for Diabetic Retinopathy Classification with Uncertainty Quantification
    Muhammad Ahtazaz Ahsan, Adnan Qayyum, Junaid Qadir, Adeel Razi
    http://arxiv.org/abs/2012.13325v1

    • [cs.LG]Assured RL: Reinforcement Learning with Almost Sure Constraints
    Agustin Castellano, Juan Bazerque, Enrique Mallada
    http://arxiv.org/abs/2012.13036v1

    • [cs.LG]AsymptoticNG: A regularized natural gradient optimization algorithm with look-ahead strategy
    Zedong Tang, Fenlong Jiang, Maoguo Gong, Hao Li, Fan Yu, Zidong Wang, Min Wang
    http://arxiv.org/abs/2012.13077v1

    • [cs.LG]Augmenting Policy Learning with Routines Discovered from a Demonstration
    Zelin Zhao, Chuang Gan, Jiajun Wu, Xiaoxiao Guo, Joshua B. Tenenbaum
    http://arxiv.org/abs/2012.12469v2

    • [cs.LG]Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search
    Yonggan Fu, Zhongzhi Yu, Yongan Zhang, Yingyan Lin
    http://arxiv.org/abs/2012.13091v1

    • [cs.LG]Cooperative Policy Learning with Pre-trained Heterogeneous Observation Representations
    Wenlei Shi, Xinran Wei, Jia Zhang, Xiaoyuan Ni, Arthur Jiang, Jiang Bian, Tie-Yan Liu
    http://arxiv.org/abs/2012.13099v1

    • [cs.LG]Decentralized Federated Learning via Mutual Knowledge Transfer
    Chengxi Li, Gang Li, Pramod K. Varshney
    http://arxiv.org/abs/2012.13063v1

    • [cs.LG]Deep Semi-Supervised Embedded Clustering (DSEC) for Stratification of Heart Failure Patients
    Oliver Carr, Stojan Jovanovic, Luca Albergante, Fernando Andreotti, Robert Dürichen, Nadia Lipunova, Janie Baxter, Rabia Khan, Benjamin Irving
    http://arxiv.org/abs/2012.13233v1

    • [cs.LG]Detecting Hateful Memes Using a Multimodal Deep Ensemble
    Vlad Sandulescu
    http://arxiv.org/abs/2012.13235v1

    • [cs.LG]Exploring Adversarial Examples via Invertible Neural Networks
    Ruqi Bai, Saurabh Bagchi, David I. Inouye
    http://arxiv.org/abs/2012.13111v1

    • [cs.LG]General Domain Adaptation Through Proportional Progressive Pseudo Labeling
    Mohammad J. Hashemi, Eric Keller
    http://arxiv.org/abs/2012.13028v1

    • [cs.LG]Improving the Certified Robustness of Neural Networks via Consistency Regularization
    Mengting Xu, Tao Zhang, Zhongnian Li, Wei Shao, Daoqiang Zhang
    http://arxiv.org/abs/2012.13103v1

    • [cs.LG]Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning
    Armen Aghajanyan, Luke Zettlemoyer, Sonal Gupta
    http://arxiv.org/abs/2012.13255v1

    • [cs.LG]K-Means Kernel Classifier
    M. Andrecut
    http://arxiv.org/abs/2012.13021v1

    • [cs.LG]Learning Vehicle Routing Problems using Policy Optimisation
    Nasrin Sultana, Jeffrey Chan, A. K. Qin, Tabinda Sarwar
    http://arxiv.org/abs/2012.13269v1

    • [cs.LG]Learning by Self-Explanation, with Application to Neural Architecture Search
    Ramtin Hosseini, Pengtao Xie
    http://arxiv.org/abs/2012.12899v1

    • [cs.LG]Learning from Crowds by Modeling Common Confusions
    Zhendong Chu, Jing Ma, Hongning Wang
    http://arxiv.org/abs/2012.13052v1

    • [cs.LG]Learning with Retrospection
    Xiang Deng, Zhongfei Zhang
    http://arxiv.org/abs/2012.13098v1

    • [cs.LG]Leave Zero Out: Towards a No-Cross-Validation Approach for Model Selection
    Weikai Li, Chuanxing Geng, Songcan Chen
    http://arxiv.org/abs/2012.13309v1

    • [cs.LG]Memory-Gated Recurrent Networks
    Yaquan Zhang, Qi Wu, Nanbo Peng, Min Dai, Jing Zhang, Hu Wang
    http://arxiv.org/abs/2012.13121v1

    • [cs.LG]On Batch Normalisation for Approximate Bayesian Inference
    Jishnu Mukhoti, Puneet K. Dokania, Philip H. S. Torr, Yarin Gal
    http://arxiv.org/abs/2012.13220v1

    • [cs.LG]On Using Classification Datasets to Evaluate Graph Outlier Detection: Peculiar Observations and New Insights
    Lingxiao Zhao, Leman Akoglu
    http://arxiv.org/abs/2012.12931v1

    • [cs.LG]Pain Assessment based on fNIRS using Bidirectional LSTMs
    Raul Fernandez Rojas, Julio Romero, Jehu Lopez-Aparicio, Keng-Liang Ou
    http://arxiv.org/abs/2012.13231v1

    • [cs.LG]Parallel-beam X-ray CT datasets of apples with internal defects and label balancing for machine learning
    Sophia Bethany Coban, Vladyslav Andriiashen, Poulami Somanya Ganguly, Maureen van Eijnatten, Kees Joost Batenburg
    http://arxiv.org/abs/2012.13346v1

    • [cs.LG]RBM-Flow and D-Flow: Invertible Flows with Discrete Energy Base Spaces
    Daniel O’Connor, Walter Vinci
    http://arxiv.org/abs/2012.13196v1

    • [cs.LG]Regret Bound Balancing and Elimination for Model Selection in Bandits and RL
    Aldo Pacchiano, Christoph Dann, Claudio Gentile, Peter Bartlett
    http://arxiv.org/abs/2012.13045v1

    • [cs.LG]SCC: an efficient deep reinforcement learning agent mastering the game of StarCraft II
    Xiangjun Wang, Junxiao Song, Penghui Qi, Peng Peng, Zhenkun Tang, Wei Zhang, Weimin Li, Xiongjun Pi, Jujie He, Chao Gao, Haitao Long, Quan Yuan
    http://arxiv.org/abs/2012.13169v1

    • [cs.LG]Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs
    Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy
    http://arxiv.org/abs/2012.13023v1

    • [cs.LG]Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks
    Binghui Wang, Jinyuan Jia, Neil Zhenqiang Gong
    http://arxiv.org/abs/2012.13085v1

    • [cs.LG]Soft-IntroVAE: Analyzing and Improving the Introspective Variational Autoencoder
    Tal Daniel, Aviv Tamar
    http://arxiv.org/abs/2012.13253v1

    • [cs.LG]Unsupervised neural adaptation model based on optimal transport for spoken language identification
    Xugang Lu, Peng Shen, Yu Tsao, Hisashi Kawai
    http://arxiv.org/abs/2012.13152v1

    • [cs.LG]Upper Confidence Bounds for Combining Stochastic Bandits
    Ashok Cutkosky, Abhimanyu Das, Manish Purohit
    http://arxiv.org/abs/2012.13115v1

    • [cs.LG]Using vis-NIRS and Machine Learning methods to diagnose sugarcane soil chemical properties
    Diego A. Delgadillo-Duran, Cesar A. Vargas-García, Viviana M. Varón-Ramírez, Francisco Calderón, Andrea C. Montenegro, Paula H. Reyes-Herrera
    http://arxiv.org/abs/2012.12995v1

    • [cs.LG]Variational Determinant Estimation with Spherical Normalizing Flows
    Simon Passenheim, Emiel Hoogeboom
    http://arxiv.org/abs/2012.13311v1

    • [cs.LG]Vector-output ReLU Neural Network Problems are Copositive Programs: Convex Analysis of Two Layer Networks and Polynomial-time Algorithms
    Arda Sahiner, Tolga Ergen, John Pauly, Mert Pilanci
    http://arxiv.org/abs/2012.13329v1

    • [cs.MA]Distributed Multi-object Tracking under Limited Field of View Sensors
    Hoa Van Nguyen, Hamid Rezatofighi, Ba-Ngu Vo, Damith C. Ranasinghe
    http://arxiv.org/abs/2012.12990v1

    • [cs.NE]Sensitivity — Local Index to Control Chaoticity or Gradient Globally
    Katsunari Shibata, Takuya Ejima, Yuki Tokumaru, Toshitaka Matsuki
    http://arxiv.org/abs/2012.13134v1

    • [cs.PL]Representing Partial Programs with Blended Abstract Semantics
    Maxwell Nye, Yewen Pu, Matthew Bowers, Jacob Andreas, Joshua B. Tenenbaum, Armando Solar-Lezama
    http://arxiv.org/abs/2012.12964v1

    • [cs.RO]**A Generalized A Algorithm for Finding Globally Optimal Paths in Weighted Colored Graphs
    Jaein Lim, Panagiotis Tsiotras
    http://arxiv.org/abs/2012.13057v1

    • [cs.RO]Effective Deployment of CNNs for 3DoF Pose Estimation and Grasping in Industrial Settings
    Daniele De Gregorio, Riccardo Zanella, Gianluca Palli, Luigi Di Stefano
    http://arxiv.org/abs/2012.13210v1

    • [cs.RO]Evolutionary Gait Transfer of Multi-Legged Robots in Complex Terrains
    Min Jiang, Guokun Chi, Geqiang Pan, Shihui Guo, Kay Chen Tan
    http://arxiv.org/abs/2012.13320v1

    • [cs.RO]Mesh Based Analysis of Low Fractal Dimension ReinforcementLearning Policies
    Sean Gillen, Katie Byl
    http://arxiv.org/abs/2012.13032v1

    • [cs.RO]On Radiation-Based Thermal Servoing: New Models, Controls and Experiments
    Luyin Hu, David Navarro-Alarcon, Andrea Cherubini, Mengying Li
    http://arxiv.org/abs/2012.13147v1

    • [cs.RO]Path Planning of Unmanned System using Carrot-chasing Algorithm
    Rahul Bhadani
    http://arxiv.org/abs/2012.13227v1

    • [cs.RO]Robotic Following of Flexible Extended Objects: Relevant Technical Facts on the Kinematics of a Moving Continuum
    A. S. Matveev, V. V. Magerkin
    http://arxiv.org/abs/2012.13240v1

    • [cs.RO]Simulation of Vision-based Tactile Sensors using Physics based Rendering
    Arpit Agarwal, Tim Man, Wenzhen Yuan
    http://arxiv.org/abs/2012.13184v1

    • [cs.RO]Superhuman Surgical Peg Transfer Using Depth-Sensing and Deep Recurrent Neural Networks
    Minho Hwang, Brijen Thananjeyan, Daniel Seita, Jeffrey Ichnowski, Samuel Paradis, Danyal Fer, Thomas Low, Ken Goldberg
    http://arxiv.org/abs/2012.12844v2

    • [cs.RO]Tunnel Facility-based Vehicle Localization in Highway Tunnel using 3D LIDAR
    Kyuwon Kim, Junhyuck Im, Gyuin Jee
    http://arxiv.org/abs/2012.13168v1

    • [cs.SI]Correlations among Game of Thieves and other centrality measures in complex networks
    Annamaria Ficara, Giacomo Fiumara, Pasquale De Meo, Antonio Liotta
    http://arxiv.org/abs/2012.13013v1

    • [eess.AS]Wheel-Rail Interface Condition Estimation (W-RICE)
    Sundar Shrestha, Anand Koirala, Maksym Spiryagin, Qing Wu
    http://arxiv.org/abs/2012.13096v1

    • [eess.IV]An Efficient Recurrent Adversarial Framework for Unsupervised Real-Time Video Enhancement
    Dario Fuoli, Zhiwu Huang, Danda Pani Paudel, Luc Van Gool, Radu Timofte
    http://arxiv.org/abs/2012.13033v1

    • [eess.IV]Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrast
    Juan Eugenio Iglesias, Benjamin Billot, Yael Balbastre, Azadeh Tabari, John Conklin, Daniel C. Alexander, Polina Golland, Brian L. Edlow, Bruce Fischl
    http://arxiv.org/abs/2012.13340v1

    • [eess.IV]LEUGAN:Low-Light Image Enhancement by Unsupervised Generative Attentional Networks
    Yangyang Qu, Chao liu, Yongsheng Ou
    http://arxiv.org/abs/2012.13322v1

    • [eess.IV]Spatio-temporal Multi-task Learning for Cardiac MRI Left Ventricle Quantification
    Sulaiman Vesal, Mingxuan Gu, Andreas Maier, Nishant Ravikumar
    http://arxiv.org/abs/2012.13364v1

    • [eess.IV]UMLE: Unsupervised Multi-discriminator Network for Low Light Enhancement
    Yangyang Qu, Kai Chen, Yongsheng Ou
    http://arxiv.org/abs/2012.13177v1

    • [eess.IV]White matter hyperintensities volume and cognition: Assessment of a deep learning based lesion detection and quantification algorithm on the Alzheimers Disease Neuroimaging Initiative
    Lavanya Umapathy, Gloria Guzman Perez-Carillo, Blair Winegar, Srinivasan Vedantham, Maria Altbach, Ali Bilgin
    http://arxiv.org/abs/2012.13059v1

    • [eess.SP]Eurythmic Dancing with Plants — Measuring Plant Response to Human Body Movement in an Anthroposophic Environment
    Sebastian Duerr, Josephine van Delden, Buenyamin Oezkaya, Peter A. Gloor
    http://arxiv.org/abs/2012.12978v1

    • [eess.SP]Quickest Detection over Sensor Networks with Unknown Post-Change Distribution
    Deniz Sargun, C. Emre Koksal
    http://arxiv.org/abs/2012.13027v1

    • [hep-lat]Lattice gauge equivariant convolutional neural networks
    Matteo Favoni, Andreas Ipp, David I. Müller, Daniel Schuh
    http://arxiv.org/abs/2012.12901v1

    • [math.CO]An Information-Theoretic Proof of a Bound on the Number of Independent Sets in Bipartite Graphs
    Igal Sason
    http://arxiv.org/abs/2012.12107v2

    • [math.OC]Global Convergence of Model Function Based Bregman Proximal Minimization Algorithms
    Mahesh Chandra Mukkamala, Jalal Fadili, Peter Ochs
    http://arxiv.org/abs/2012.13161v1

    • [math.OC]Solving Mixed Integer Programs Using Neural Networks
    Vinod Nair, Sergey Bartunov, Felix Gimeno, Ingrid von Glehn, Pawel Lichocki, Ivan Lobov, Brendan O’Donoghue, Nicolas Sonnerat, Christian Tjandraatmadja, Pengming Wang, Ravichandra Addanki, Tharindi Hapuarachchi, Thomas Keck, James Keeling, Pushmeet Kohli, Ira Ktena, Yujia Li, Oriol Vinyals, Yori Zwols
    http://arxiv.org/abs/2012.13349v1

    • [math.PR]An Interpolating Family of size distributions
    Corinne Sinner, Yves Dominicy, Julien Trufin, Wout Waterschoot, Patrick Weber, Christophe Ley
    http://arxiv.org/abs/2012.13348v1

    • [math.ST]Bivariate Densities in Bayes Spaces: Orthogonal Decomposition and Spline Representation
    Karel Hron, Jitka Machalová, Alessandra Menafoglio
    http://arxiv.org/abs/2012.12948v1

    • [math.ST]Calibration and Uncertainty Quantification of Convective Parameters in an Idealized GCM
    Oliver R. A. Dunbar, Alfredo Garbuno-Inigo, Tapio Schneider, Andrew M. Stuart
    http://arxiv.org/abs/2012.13262v1

    • [math.ST]Dependence of variance on covariate design in nonparametric link regression
    Akifumi Okuno, Keisuke Yano
    http://arxiv.org/abs/2012.13106v1

    • [math.ST]Nonparametric approximation of conditional expectation operators
    Mattes Mollenhauer, Péter Koltai
    http://arxiv.org/abs/2012.12917v1

    • [math.ST]On Statistical Efficiency in Learning
    Jie Ding, Enmao Diao, Jiawei Zhou, Vahid Tarokh
    http://arxiv.org/abs/2012.13307v1

    • [math.ST]Regression in Nonstandard Spaces with Fréchet and Geodesic Approaches
    Christof Schötz
    http://arxiv.org/abs/2012.13332v1

    • [physics.soc-ph]Characterizing the COVID-19 Transmission in South Korea Using the KCDC Patient Data
    Anna Schmedding, Lishan Yang, Riccardo Pinciroli, Evgenia Smirni
    http://arxiv.org/abs/2012.13296v1

    • [physics.soc-ph]Concurrency measures in the era of temporal network epidemiology: A review
    Naoki Masuda, Joel C. Miller, Petter Holme
    http://arxiv.org/abs/2012.13317v1

    • [q-bio.QM]AttentionDDI: Siamese Attention-based Deep Learning method for drug-drug interaction predictions
    Kyriakos Schwarz, Ahmed Allam, Nicolas Andres Perez Gonzalez, Michael Krauthammer
    http://arxiv.org/abs/2012.13248v1

    • [q-bio.QM]The necessity and power of random, under-sampled experiments in biology
    Brian Cleary, Aviv Regev
    http://arxiv.org/abs/2012.12961v1

    • [stat.AP]Filtering the intensity of public concern from social media count data with jumps
    Matteo Iacopini, Carlo R. M. A. Santagiustina
    http://arxiv.org/abs/2012.13267v1

    • [stat.ME]Bayesian prognostic covariate adjustment
    David Walsh, Alejandro Schuler, Diana Hall, Jon Walsh, Charles Fisher
    http://arxiv.org/abs/2012.13112v1

    • [stat.ME]Causal Inference Using Linear Time-Varying Filters with Additive Noise
    Kang Du, Yu Xiang
    http://arxiv.org/abs/2012.13025v1

    • [stat.ME]Correlated Wishart Matrices Classification via an Expectation-Maximization Composite Likelihood-Based Algorithm
    Zhou Lan
    http://arxiv.org/abs/2012.13075v1

    • [stat.ME]Kryging: Geostatistical analysis of large-scale datasets using Krylov subspace methods
    Suman Majumder, Yawen Guan, Brian J. Reich, Arvind K. Saibaba
    http://arxiv.org/abs/2012.13133v1

    • [stat.ME]Prevalence Estimation from Random Samples and Census Data with Participation Bias
    Stéphane Guerrier, Christoph Kuzmics, Maria-Pia Victoria-Feser
    http://arxiv.org/abs/2012.10745v2

    • [stat.ME]Robust penalized spline estimation with difference penalties
    Ioannis Kalogridis, Stefan Van Aelst
    http://arxiv.org/abs/2012.13295v1

    • [stat.ML]High-Dimensional Bayesian Optimization via Tree-Structured Additive Models
    Eric Han, Ishank Arora, Jonathan Scarlett
    http://arxiv.org/abs/2012.13088v1