astro-ph.CO - 宇宙学和天体物理学
astro-ph.GA - 星系天体物理学 cs.AI - 人工智能 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.GT - 计算机科学与博弈论 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.OC - 优化与控制 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.ins-det - 仪器和探测器 physics.soc-ph - 物理学与社会 physics.space-ph - 空间物理学 q-bio.QM - 定量方法 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 stat.OT - 其他统计学
• [astro-ph.CO]Sufficiency of a Gaussian power spectrum likelihood for accurate cosmology from upcoming weak lensing surveys
• [astro-ph.GA]Gibbs Point Process Model for Young Star Clusters in M33
• [cs.AI]Comprehension and Knowledge
• [cs.AI]Conceptualization and Framework of Hybrid Intelligence Systems
• [cs.AI]Generating Human-Like Movement: A Comparison Between Two Approaches Based on Environmental Features
• [cs.AI]String Tightening as a Self-Organizing Phenomenon: Computation of Shortest Homotopic Path, Smooth Path, and Convex Hull
• [cs.AI]VaryFairyTED : A Fair in Rating Predictor for Public Speeches by Awareness of Verbal and Gesture Quality
• [cs.CL]Discriminating Between Similar Nordic Languages
• [cs.CL]Document-aligned Japanese-English Conversation Parallel Corpus
• [cs.CL]EQG-RACE: Examination-Type Question Generation
• [cs.CL]Exploring Deep Neural Networks and Transfer Learning for Analyzing Emotions in Tweets
• [cs.CL]Improved Robustness to Disfluencies in RNN-Transducer Based Speech Recognition
• [cs.CL]Improving Task-Agnostic BERT Distillation with Layer Mapping Search
• [cs.CL]Improving Zero Shot Learning Baselines with Commonsense Knowledge
• [cs.CL]Morphology Matters: A Multilingual Language Modeling Analysis
• [cs.CL]Orthogonal Language and Task Adapters in Zero-Shot Cross-Lingual Transfer
• [cs.CL]ParsiNLU: A Suite of Language Understanding Challenges for Persian
• [cs.CL]Reinforced Multi-Teacher Selection for Knowledge Distillation
• [cs.CR]Betrayed by the Guardian: Security and Privacy Risks of Parental Control Solutions
• [cs.CR]SoK: Diving into DAG-based Blockchain Systems
• [cs.CR]TEEMon: A continuous performance monitoring framework for TEEs
• [cs.CV]A Comprehensive Study of Deep Video Action Recognition
• [cs.CV]A Dark Flash Normal Camera
• [cs.CV]A Generative Approach for Detection-driven Underwater Image Enhancement
• [cs.CV]A Log-likelihood Regularized KL Divergence for Video Prediction with A 3D Convolutional Variational Recurrent Network
• [cs.CV]A MAC-less Neural Inference Processor Supporting Compressed, Variable Precision Weights
• [cs.CV]A Multi-task Joint Framework for Real-time Person Search
• [cs.CV]A new automatic approach to seed image analysis: From acquisition to segmentation
• [cs.CV]A novel joint points and silhouette-based method to estimate 3D human pose and shape
• [cs.CV]AViNet: Diving Deep into Audio-Visual Saliency Prediction
• [cs.CV]Automatic Test Suite Generation for Key-points Detection DNNs Using Many-Objective Search
• [cs.CV]Classifying Breast Histopathology Images with a Ductal Instance-Oriented Pipeline
• [cs.CV]Color-related Local Binary Pattern: A Learned Local Descriptor for Color Image Recognition
• [cs.CV]Confidence Estimation via Auxiliary Models
• [cs.CV]Cyclic orthogonal convolutions for long-range integration of features
• [cs.CV]Cyclopean Geometry of Binocular Vision
• [cs.CV]D2-Net: Weakly-Supervised Action Localization via Discriminative Embeddings and Denoised Activations
• [cs.CV]DILIE: Deep Internal Learning for Image Enhancement
• [cs.CV]DeepObjStyle: Deep Object-based Photo Style Transfer
• [cs.CV]Dependency Decomposition and a Reject Option for Explainable Models
• [cs.CV]Detailed 3D Human Body Reconstruction from Multi-view Images Combining Voxel Super-Resolution and Learned Implicit Representation
• [cs.CV]Detection of Binary Square Fiducial Markers Using an Event Camera
• [cs.CV]EventHands: Real-Time Neural 3D Hand Reconstruction from an Event Stream
• [cs.CV]Exploring Facial Expressions and Affective Domains for Parkinson Detection
• [cs.CV]Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need?
• [cs.CV]Garment Recommendation with Memory Augmented Neural Networks
• [cs.CV]How to Train PointGoal Navigation Agents on a (Sample and Compute) Budget
• [cs.CV]Image-Graph-Image Translation via Auto-Encoding
• [cs.CV]Imitation-Based Active Camera Control with Deep Convolutional Neural Network
• [cs.CV]Intrinsic Temporal Regularization for High-resolution Human Video Synthesis
• [cs.CV]Iso-Points: Optimizing Neural Implicit Surfaces with Hybrid Representations
• [cs.CV]LayoutGMN: Neural Graph Matching for Structural Layout Similarity
• [cs.CV]Learning Edge-Preserved Image Stitching from Large-Baseline Deep Homography
• [cs.CV]Learning Omni-frequency Region-adaptive Representations for Real Image Super-Resolution
• [cs.CV]Mesoscopic photogrammetry with an unstabilized phone camera
• [cs.CV]Monocular Real-time Full Body Capture with Inter-part Correlations
• [cs.CV]Objectness-Guided Open Set Visual Search and Closed Set Detection
• [cs.CV]One Point is All You Need: Directional Attention Point for Feature Learning
• [cs.CV]Random Projections for Adversarial Attack Detection
• [cs.CV]Relighting Images in the Wild with a Self-Supervised Siamese Auto-Encoder
• [cs.CV]Self-Growing Spatial Graph Network for Context-Aware Pedestrian Trajectory Prediction
• [cs.CV]Spatial Temporal Transformer Network for Skeleton-based Action Recognition
• [cs.CV]Spatio-attentive Graphs for Human-Object Interaction Detection
• [cs.CV]Super-resolution Guided Pore Detection for Fingerprint Recognition
• [cs.CV]Superpixel Segmentation Based on Spatially Constrained Subspace Clustering
• [cs.CV]Uncertainty-Aware Deep Calibrated Salient Object Detection
• [cs.CV]Unsupervised deep learning for individualized brain functional network identification
• [cs.CV]Video Camera Identification from Sensor Pattern Noise with a Constrained ConvNet
• [cs.CV]Vision-based Price Suggestion for Online Second-hand Items
• [cs.CV]Writer Identification and Writer Retrieval Based on NetVLAD with Re-ranking
• [cs.CY]Artificial Intelligence & Cooperation
• [cs.CY]Digital Contact Tracing: Technologies, Shortcomings, and the Path Forward
• [cs.CY]Impact of Business technologies on the success of Ecommerce Strategies: SMEs Perspective
• [cs.CY]Interdisciplinary Approaches to Understanding Artificial Intelligence’s Impact on Society
• [cs.CY]Next Wave Artificial Intelligence: Robust, Explainable, Adaptable, Ethical, and Accountable
• [cs.CY]The Rise of AI-Driven Simulators: Building a New Crystal Ball
• [cs.DC]Analyzing the Performance of Smart Industry 4.0 Applications on Cloud Computing Systems
• [cs.DC]Descriptive and Predictive Analysis of Aggregating Functions in Serverless Clouds: the Case of Video Streaming
• [cs.DC]Efficient Distributed Transposition Of Large-Scale Multigraphs And High-Cardinality Sparse Matrices
• [cs.DC]Smart Grid Management using Blockchain: Future Scenarios and Challenges
• [cs.DC]The Future is Big Graphs! A Community View on Graph Processing Systems
• [cs.DC]Trash Talk: Accelerating Garbage Collection on Integrated GPUs is Worthless
• [cs.DC]Usage Scenarios for Byte-Addressable Persistent Memory inHigh-Performance and Data Intensive Computing
• [cs.DS]Online Coresets for Clustering with Bregman Divergences
• [cs.GT]Selfish Creation of Social Networks
• [cs.IR]A Topic Coverage Approach to Evaluation of Topic Models
• [cs.IR]KOSMOS: Knowledge-graph Oriented Social media and Mainstream media Overview System
• [cs.IR]Market2Dish: Health-aware Food Recommendation
• [cs.IR]Using Affective Aware Pseudo Association Method to Connect Disjoint Users and Items for Making Cross-Domain Recommendations
• [cs.IT]Coded sparse matrix computation schemes that leverage partial stragglers
• [cs.IT]Soft Compression for Lossless Image Coding
• [cs.IT]The Generalized Covering Radii of Linear Codes
• [cs.LG]$π$-ROAD: a Learn-as-You-Go Framework for On-Demand Emergency Slices in V2X Scenarios
• [cs.LG]A New Neural Network Architecture Invariant to the Action of Symmetry Subgroups
• [cs.LG]A Review of Hidden Markov Models and Recurrent Neural Networks for Event Detection and Localization in Biomedical Signals
• [cs.LG]A Simplistic Machine Learning Approach to Contact Tracing
• [cs.LG]ADD: Augmented Disentanglement Distillation Framework for Improving Stock Trend Forecasting
• [cs.LG]Acoustic Leak Detection in Water Networks
• [cs.LG]Adaptive Submodular Meta-Learning
• [cs.LG]AdvantageNAS: Efficient Neural Architecture Search with Credit Assignment
• [cs.LG]An AI-Assisted Design Method for Topology Optimization Without Pre-Optimized Training Data
• [cs.LG]Analyzing and Improving Generative Adversarial Training for Generative Modeling and Out-of-Distribution Detection
• [cs.LG]Beyond Occam’s Razor in System Identification: Double-Descent when Modeling Dynamics
• [cs.LG]Closeness and Uncertainty Aware Adversarial Examples Detection in Adversarial Machine Learning
• [cs.LG]Comparison of Anomaly Detectors: Context Matters
• [cs.LG]DSRNA: Differentiable Search of Robust Neural Architectures
• [cs.LG]Data Appraisal Without Data Sharing
• [cs.LG]Data-driven Method for Estimating Aircraft Mass from Quick Access Recorder using Aircraft Dynamics and Multilayer Perceptron Neural Network
• [cs.LG]Deep Learning Approach for Matrix Completion Using Manifold Learning
• [cs.LG]Deep Neural Networks Are Effective At Learning High-Dimensional Hilbert-Valued Functions From Limited Data
• [cs.LG]EarthNet2021: A novel large-scale dataset and challenge for forecasting localized climate impacts
• [cs.LG]Exploiting Behavioral Consistence for Universal User Representation
• [cs.LG]Feature Selection Based on Sparse Neural Network Layer with Normalizing Constraints
• [cs.LG]Generative Learning With Euler Particle Transport
• [cs.LG]Hard-ODT: Hardware-Friendly Online Decision Tree Learning Algorithm and System
• [cs.LG]Hardware Beyond Backpropagation: a Photonic Co-Processor for Direct Feedback Alignment
• [cs.LG]I-GCN: Robust Graph Convolutional Network via Influence Mechanism
• [cs.LG]Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling
• [cs.LG]Learning physically consistent mathematical models from data using group sparsity
• [cs.LG]OPAC: Opportunistic Actor-Critic
• [cs.LG]OpenHoldem: An Open Toolkit for Large-Scale Imperfect-Information Game Research
• [cs.LG]Pair-view Unsupervised Graph Representation Learning
• [cs.LG]Parallelized Rate-Distortion Optimized Quantization Using Deep Learning
• [cs.LG]Prediction of Hemolysis Tendency of Peptides using a Reliable Evaluation Method
• [cs.LG]Query Understanding for Natural Language Enterprise Search
• [cs.LG]RENATA: REpreseNtation And Training Alteration for Bias Mitigation
• [cs.LG]Smooth Bandit Optimization: Generalization to Hölder Space
• [cs.LG]Structured learning of rigid-body dynamics: A survey and unified view
• [cs.LG]The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks
• [cs.LG]Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method
• [cs.LG]Unsupervised Learning of slow features for Data Efficient Regression
• [cs.LG]When is Memorization of Irrelevant Training Data Necessary for High-Accuracy Learning?
• [cs.NE]Better call Surrogates: A hybrid Evolutionary Algorithm for Hyperparameter optimization
• [cs.NE]Differential Evolution for Neural Architecture Search
• [cs.NE]Learnable and time-reversible cellular automata with holography principle
• [cs.NI]Sketchy With a Chance of Adoption: Can Sketch-Based Telemetry Be Ready for Prime Time?
• [cs.RO]A Robust Aerial Gripper for Passive Grasping and Impulsive Release using Scotch Yoke Mechanism
• [cs.RO]A Vision-based Sensing Approach for a Spherical Soft Robotic Arm
• [cs.RO]Cost-to-Go Function Generating Networks for High Dimensional Motion Planning
• [cs.RO]Crowd Vetting: Rejecting Adversaries via Collaboration—with Application to Multi-Robot Flocking
• [cs.RO]Dual Control for Exploitation and Exploration (DCEE) in Autonomous Search
• [cs.RO]Learning How to Trade-Off Safety with Agility Using Deep Covariance Estimation for Perception Driven UAV Motion Planning
• [cs.RO]Motion Mappings for Continuous Bilateral Teleoperation
• [cs.RO]Probabilistic Iterative LQR for Short Time Horizon MPC
• [cs.RO]Spotlight-based 3D Instrument Guidance for Retinal Surgery
• [cs.RO]Structured Policy Representation: Imposing Stability in arbitrarily conditioned dynamic systems
• [cs.RO]Technical Opinion: From Animal Behaviour to Autonomous Robots
• [cs.RO]Underactuated Motion Planning and Control for Jumping with Wheeled-Bipedal Robots
• [cs.SD]Analysis of Feature Representations for Anomalous Sound Detection
• [cs.SD]Exploring wav2vec 2.0 on speaker verification and language identification
• [cs.SE]Guiding Development Work Across a Software Ecosystem by Visualizing Usage Data
• [cs.SI]A Comment on and Correction to: Opinion dynamics in the presence of increasing agreement pressure
• [cs.SI]Characterizing Twitter users behaviour during the Spanish Covid-19 first wave
• [cs.SI]How question quality drives Web performance in community question answering sites
• [cs.SI]Limits of PageRank-based ranking methods in sports data
• [eess.IV]3D Scattering Tomography by Deep Learning with Architecture Tailored to Cloud Fields
• [eess.IV]AIforCOVID: predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study
• [eess.IV]Context Matters: Graph-based Self-supervised Representation Learning for Medical Images
• [eess.IV]Uncertainty-driven refinement of tumor-core segmentation using 3D-to-2D networks with label uncertainty
• [eess.SP]An algorithm for onset detection of linguistic segments in continuous electroencephalogram signals
• [eess.SP]Synergistic Integration of Optical and Microwave Satellite Data for Crop Yield Estimation
• [eess.SY]On the Observability and Controllability of Large-Scale IoT Networks: Reducing Number of Unmatched Nodes via Link Addition
• [math.OC]Recent Theoretical Advances in Non-Convex Optimization
• [math.ST]A new non-negative distribution with both finite and infinite support
• [math.ST]Handy Formulas for Binomial Moments
• [math.ST]On the UMVUE and Closed-Form Bayes Estimator for $Pr(X
• [physics.comp-ph]Comparison of Update and Genetic Training Algorithms in a Memristor Crossbar Perceptron
• [physics.ins-det]Deep-Learning-Based Kinematic Reconstruction for DUNE
• [physics.soc-ph]Interacting discovery processes on complex networks
• [physics.space-ph]Improving solar wind forecasting using Data Assimilation
• [q-bio.QM]Gap Filling of Biophysical Parameter Time Series with Multi-Output Gaussian Processes
• [quant-ph]Sublinear classical and quantum algorithms for general matrix games
• [stat.AP]A Methodology to Derive Global Maps of Leaf Traits Using Remote Sensing and Climate Data
• [stat.AP]Data Analytics Driven Controlling: bridging statistical modeling and managerial intuition
• [stat.CO]Kernel Estimator and Bandwidth Selection for Density and its Derivatives: The kedd Package
• [stat.CO]Randomised Wasserstein Barycenter Computation: Resampling with Statistical Guarantees
• [stat.ME]A flexible sensitivity analysis approach for unmeasured confounding with multiple treatments and a binary outcome
• [stat.ME]Bayesian Variable Selection for Single Index Logistic Model
• [stat.ME]Bayesian nonstationary and nonparametric covariance estimation for large spatial data
• [stat.ME]Generalized fiducial factor: an alternative to the Bayes factor for forensic identification of source problems
• [stat.ME]Power prior models for treatment effect estimation in a small n, sequential, multiple assignment, randomized trial
• [stat.ME]Sequential Estimation of Nonparametric Correlation using Hermite Series Estimators
• [stat.ME]Sparse Functional Linear Discriminant Analysis
• [stat.ME]Structure learning for extremal tree models
• [stat.ML]Clustering multivariate functional data using unsupervised binary trees
• [stat.ML]Glucose values prediction five years ahead with a new framework of missing responses in reproducing kernel Hilbert spaces, and the use of continuous glucose monitoring technology
• [stat.ML]Neural Dynamic Mode Decomposition for End-to-End Modeling of Nonlinear Dynamics
• [stat.ML]Risk & returns around FOMC press conferences: a novel perspective from computer vision
• [stat.OT]Casting Multiple Shadows: High-Dimensional Interactive Data Visualisation with Tours and Embeddings
·····································
• [astro-ph.CO]Sufficiency of a Gaussian power spectrum likelihood for accurate cosmology from upcoming weak lensing surveys
Robin E. Upham, Michael L. Brown, Lee Whittaker
http://arxiv.org/abs/2012.06267v1
• [astro-ph.GA]Gibbs Point Process Model for Young Star Clusters in M33
Dayi Li, Pauline Barmby
http://arxiv.org/abs/2012.05938v1
• [cs.AI]Comprehension and Knowledge
Pavel Naumov, Kevin Ros
http://arxiv.org/abs/2012.06561v1
• [cs.AI]Conceptualization and Framework of Hybrid Intelligence Systems
Nikhil Prakash, Kory W. Mathewson
http://arxiv.org/abs/2012.06161v1
• [cs.AI]Generating Human-Like Movement: A Comparison Between Two Approaches Based on Environmental Features
A. Zonta, S. K. Smit, A. E. Eiben
http://arxiv.org/abs/2012.06474v1
• [cs.AI]String Tightening as a Self-Organizing Phenomenon: Computation of Shortest Homotopic Path, Smooth Path, and Convex Hull
Bonny Banerjee
http://arxiv.org/abs/2012.06513v1
• [cs.AI]VaryFairyTED : A Fair in Rating Predictor for Public Speeches by Awareness of Verbal and Gesture Quality
Rupam Acharyya, Ankani Chattoraj, Shouman Das, Md. Iftekhar Tanveer, Ehsan Hoque
http://arxiv.org/abs/2012.06157v1
• [cs.CL]Discriminating Between Similar Nordic Languages
René Haas, Leon Derczynski
http://arxiv.org/abs/2012.06431v1
• [cs.CL]Document-aligned Japanese-English Conversation Parallel Corpus
Matīss Rikters, Ryokan Ri, Tong Li, Toshiaki Nakazawa
http://arxiv.org/abs/2012.06143v1
• [cs.CL]EQG-RACE: Examination-Type Question Generation
Xin Jia, Wenjie Zhou, Xu Sun, Yunfang Wu
http://arxiv.org/abs/2012.06106v1
• [cs.CL]Exploring Deep Neural Networks and Transfer Learning for Analyzing Emotions in Tweets
Yasas Senarath, Uthayasanker Thayasivam
http://arxiv.org/abs/2012.06025v1
• [cs.CL]Improved Robustness to Disfluencies in RNN-Transducer Based Speech Recognition
Valentin Mendelev, Tina Raissi, Guglielmo Camporese, Manuel Giollo
http://arxiv.org/abs/2012.06259v1
• [cs.CL]Improving Task-Agnostic BERT Distillation with Layer Mapping Search
Xiaoqi Jiao, Huating Chang, Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Linlin Li, Fang Wang, Qun Liu
http://arxiv.org/abs/2012.06153v1
• [cs.CL]Improving Zero Shot Learning Baselines with Commonsense Knowledge
Abhinaba Roy, Deepanway Ghosal, Erik Cambria, Navonil Majumder, Rada Mihalcea, Soujanya Poria
http://arxiv.org/abs/2012.06236v1
• [cs.CL]Morphology Matters: A Multilingual Language Modeling Analysis
Hyunji Hayley Park, Katherine J. Zhang, Coleman Haley, Kenneth Steimel, Han Liu, Lane Schwartz
http://arxiv.org/abs/2012.06262v1
• [cs.CL]Orthogonal Language and Task Adapters in Zero-Shot Cross-Lingual Transfer
Marko Vidoni, Ivan Vulić, Goran Glavaš
http://arxiv.org/abs/2012.06460v1
• [cs.CL]ParsiNLU: A Suite of Language Understanding Challenges for Persian
Daniel Khashabi, Arman Cohan, Siamak Shakeri, Pedram Hosseini, Pouya Pezeshkpour, Malihe Alikhani, Moin Aminnaseri, Marzieh Bitaab, Faeze Brahman, Sarik Ghazarian, Mozhdeh Gheini, Arman Kabiri, Rabeeh Karimi Mahabadi, Omid Memarrast, Ahmadreza Mosallanezhad, Erfan Noury, Shahab Raji, Mohammad Sadegh Rasooli, Sepideh Sadeghi, Erfan Sadeqi Azer, Niloofar Safi Samghabadi, Mahsa Shafaei, Saber Sheybani, Ali Tazarv, Yadollah Yaghoobzadeh
http://arxiv.org/abs/2012.06154v1
• [cs.CL]Reinforced Multi-Teacher Selection for Knowledge Distillation
Fei Yuan, Linjun Shou, Jian Pei, Wutao Lin, Ming Gong, Yan Fu, Daxin Jiang
http://arxiv.org/abs/2012.06048v1
• [cs.CR]Betrayed by the Guardian: Security and Privacy Risks of Parental Control Solutions
S. Ali, M. Elgharabawy, Q. Duchaussoy, M. Mannan, A. Youssef
http://arxiv.org/abs/2012.06502v1
• [cs.CR]SoK: Diving into DAG-based Blockchain Systems
Qin Wang, Jiangshan Yu, Shiping Chen, Yang Xiang
http://arxiv.org/abs/2012.06128v1
• [cs.CR]TEEMon: A continuous performance monitoring framework for TEEs
Robert Krahn, Donald Dragoti, Franz Gregor, Do Le Quoc, Valerio Schiavoni, Pascal Felber, Clenimar Souza, Andrey Brito, Christof Fetzer
http://arxiv.org/abs/2012.06554v1
• [cs.CV]A Comprehensive Study of Deep Video Action Recognition
Yi Zhu, Xinyu Li, Chunhui Liu, Mohammadreza Zolfaghari, Yuanjun Xiong, Chongruo Wu, Zhi Zhang, Joseph Tighe, R. Manmatha, Mu Li
http://arxiv.org/abs/2012.06567v1
• [cs.CV]A Dark Flash Normal Camera
Zhihao Xia, Jason Lawrence, Supreeth Achar
http://arxiv.org/abs/2012.06125v1
• [cs.CV]A Generative Approach for Detection-driven Underwater Image Enhancement
Chelsey Edge, Md Jahidul Islam, Christopher Morse, Junaed Sattar
http://arxiv.org/abs/2012.05990v1
• [cs.CV]A Log-likelihood Regularized KL Divergence for Video Prediction with A 3D Convolutional Variational Recurrent Network
Haziq Razali, Basura Fernando
http://arxiv.org/abs/2012.06123v1
• [cs.CV]A MAC-less Neural Inference Processor Supporting Compressed, Variable Precision Weights
Vincenzo Liguori
http://arxiv.org/abs/2012.06018v1
• [cs.CV]A Multi-task Joint Framework for Real-time Person Search
Ye Li, Kangning Yin, Jie Liang, Chunyu Wang, Guangqiang Yin
http://arxiv.org/abs/2012.06418v1
• [cs.CV]A new automatic approach to seed image analysis: From acquisition to segmentation
A. M. P. G. Vale, M. Ucchesu, C. Di Ruberto, A. Loddo, J. M. Soares, G. Bacchetta
http://arxiv.org/abs/2012.06414v1
• [cs.CV]A novel joint points and silhouette-based method to estimate 3D human pose and shape
Zhongguo Li, Anders Heyden, Magnus Oskarsson
http://arxiv.org/abs/2012.06109v1
• [cs.CV]AViNet: Diving Deep into Audio-Visual Saliency Prediction
Samyak Jain, Pradeep Yarlagadda, Ramanathan Subramanian, Vineet Gandhi
http://arxiv.org/abs/2012.06170v1
• [cs.CV]Automatic Test Suite Generation for Key-points Detection DNNs Using Many-Objective Search
Fitash Ul Haq, Donghwan Shin, Lionel C. Briand, Thomas Stifter, Jun Wang
http://arxiv.org/abs/2012.06511v1
• [cs.CV]Classifying Breast Histopathology Images with a Ductal Instance-Oriented Pipeline
Beibin Li, Ezgi Mercan, Sachin Mehta, Stevan Knezevich, Corey W. Arnold, Donald L. Weaver, Joann G. Elmore, Linda G. Shapiro
http://arxiv.org/abs/2012.06136v1
• [cs.CV]Color-related Local Binary Pattern: A Learned Local Descriptor for Color Image Recognition
Bin Xiao, Tao Geng, Xiuli Bi, Weisheng Li
http://arxiv.org/abs/2012.06132v1
• [cs.CV]Confidence Estimation via Auxiliary Models
Charles Corbière, Nicolas Thome, Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez
http://arxiv.org/abs/2012.06508v1
• [cs.CV]Cyclic orthogonal convolutions for long-range integration of features
Federica Freddi, Jezabel R Garcia, Michael Bromberg, Sepehr Jalali, Da-Shan Shiu, Alvin Chua, Alberto Bernacchia
http://arxiv.org/abs/2012.06462v1
• [cs.CV]Cyclopean Geometry of Binocular Vision
Miles Hansard, Radu Horaud
http://arxiv.org/abs/2012.06363v1
• [cs.CV]D2-Net: Weakly-Supervised Action Localization via Discriminative Embeddings and Denoised Activations
Sanath Narayan, Hisham Cholakkal, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao
http://arxiv.org/abs/2012.06440v1
• [cs.CV]DILIE: Deep Internal Learning for Image Enhancement
Indra Deep Mastan, Shanmuganathan Raman
http://arxiv.org/abs/2012.06469v1
• [cs.CV]DeepObjStyle: Deep Object-based Photo Style Transfer
Indra Deep Mastan, Shanmuganathan Raman
http://arxiv.org/abs/2012.06498v1
• [cs.CV]Dependency Decomposition and a Reject Option for Explainable Models
Jan Kronenberger, Anselm Haselhoff
http://arxiv.org/abs/2012.06523v1
• [cs.CV]Detailed 3D Human Body Reconstruction from Multi-view Images Combining Voxel Super-Resolution and Learned Implicit Representation
Zhongguo Li, Magnus Oskarsson, Anders Heyden
http://arxiv.org/abs/2012.06178v1
• [cs.CV]Detection of Binary Square Fiducial Markers Using an Event Camera
Hamid Sarmadi, Rafael Muñoz-Salinas, Miguel A. Olivares-Mendez, Rafael Medina-Carnicer
http://arxiv.org/abs/2012.06516v1
• [cs.CV]EventHands: Real-Time Neural 3D Hand Reconstruction from an Event Stream
Viktor Rudnev, Vladislav Golyanik, Jiayi Wang, Hans-Peter Seidel, Franziska Mueller, Mohamed Elgharib, Christian Theobalt
http://arxiv.org/abs/2012.06475v1
• [cs.CV]Exploring Facial Expressions and Affective Domains for Parkinson Detection
Luis Felipe Gomez-Gomez, Aythami Morales, Julian Fierrez, Juan Rafael Orozco-Arroyave
http://arxiv.org/abs/2012.06563v1
• [cs.CV]Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need?
Malik Boudiaf, Hoel Kervadec, Ziko Imtiaz Masud, Pablo Piantanida, Ismail Ben Ayed, Jose Dolz
http://arxiv.org/abs/2012.06166v1
• [cs.CV]Garment Recommendation with Memory Augmented Neural Networks
Lavinia De Divitiis, Federico Becattini, Claudio Baecchi, Alberto Del Bimbo
http://arxiv.org/abs/2012.06200v1
• [cs.CV]How to Train PointGoal Navigation Agents on a (Sample and Compute) Budget
Erik Wijmans, Irfan Essa, Dhruv Batra
http://arxiv.org/abs/2012.06117v1
• [cs.CV]Image-Graph-Image Translation via Auto-Encoding
Chenyang Lu, Gijs Dubbelman
http://arxiv.org/abs/2012.05975v1
• [cs.CV]Imitation-Based Active Camera Control with Deep Convolutional Neural Network
Christos Kyrkou
http://arxiv.org/abs/2012.06428v1
• [cs.CV]Intrinsic Temporal Regularization for High-resolution Human Video Synthesis
Lingbo Yang, Zhanning Gao, Peiran Ren, Siwei Ma, Wen Gao
http://arxiv.org/abs/2012.06134v1
• [cs.CV]Iso-Points: Optimizing Neural Implicit Surfaces with Hybrid Representations
Wang Yifan, Shihao Wu, Cengiz Oztireli, Olga Sorkine-Hornung
http://arxiv.org/abs/2012.06434v1
• [cs.CV]LayoutGMN: Neural Graph Matching for Structural Layout Similarity
Akshay Gadi Patil, Manyi Li, Matthew Fisher, Manolis Savva, Hao Zhang
http://arxiv.org/abs/2012.06547v1
• [cs.CV]Learning Edge-Preserved Image Stitching from Large-Baseline Deep Homography
Lang Nie, Chunyu Lin, Kang Liao, Yao Zhao
http://arxiv.org/abs/2012.06194v1
• [cs.CV]Learning Omni-frequency Region-adaptive Representations for Real Image Super-Resolution
Xin Li, Xin Jin, Tao Yu, Yingxue Pang, Simeng Sun, Zhizheng Zhang, Zhibo Chen
http://arxiv.org/abs/2012.06131v1
• [cs.CV]Mesoscopic photogrammetry with an unstabilized phone camera
Kevin C. Zhou, Colin Cooke, Jaehee Park, Ruobing Qian, Roarke Horstmeyer, Joseph A. Izatt, Sina Farsiu
http://arxiv.org/abs/2012.06044v1
• [cs.CV]Monocular Real-time Full Body Capture with Inter-part Correlations
Yuxiao Zhou, Marc Habermann, Ikhsanul Habibie, Ayush Tewari, Christian Theobalt, Feng Xu
http://arxiv.org/abs/2012.06087v1
• [cs.CV]Objectness-Guided Open Set Visual Search and Closed Set Detection
Nathan Drenkow, Philippe Burlina, Neil Fendley, Kachi Odoemene, Jared Markowitz
http://arxiv.org/abs/2012.06509v1
• [cs.CV]One Point is All You Need: Directional Attention Point for Feature Learning
Liqiang Lin, Pengdi Huang, Chi-Wing Fu, Kai Xu, Hao Zhang, Hui Huang
http://arxiv.org/abs/2012.06257v1
• [cs.CV]Random Projections for Adversarial Attack Detection
Nathan Drenkow, Neil Fendley, Philippe Burlina
http://arxiv.org/abs/2012.06405v1
• [cs.CV]Relighting Images in the Wild with a Self-Supervised Siamese Auto-Encoder
Yang Liu, Alexandros Neophytou, Sunando Sengupta, Eric Sommerlade
http://arxiv.org/abs/2012.06444v1
• [cs.CV]Self-Growing Spatial Graph Network for Context-Aware Pedestrian Trajectory Prediction
Sirin Haddad, Siew-Kei Lam
http://arxiv.org/abs/2012.06320v1
• [cs.CV]Spatial Temporal Transformer Network for Skeleton-based Action Recognition
Chiara Plizzari, Marco Cannici, Matteo Matteucci
http://arxiv.org/abs/2012.06399v1
• [cs.CV]Spatio-attentive Graphs for Human-Object Interaction Detection
Frederic Z. Zhang, Dylan Campbell, Stephen Gould
http://arxiv.org/abs/2012.06060v1
• [cs.CV]Super-resolution Guided Pore Detection for Fingerprint Recognition
Syeda Nyma Ferdous, Ali Dabouei, Jeremy Dawson, Nasser M Nasrabadi
http://arxiv.org/abs/2012.05959v1
• [cs.CV]Superpixel Segmentation Based on Spatially Constrained Subspace Clustering
Hua Li, Yuheng Jia, Runmin Cong, Wenhui Wu, Sam Kwong, Chuanbo Chen
http://arxiv.org/abs/2012.06149v1
• [cs.CV]Uncertainty-Aware Deep Calibrated Salient Object Detection
Jing Zhang, Yuchao Dai, Xin Yu, Mehrtash Harandi, Nick Barnes, Richard Hartley
http://arxiv.org/abs/2012.06020v1
• [cs.CV]Unsupervised deep learning for individualized brain functional network identification
Hongming Li, Yong Fan
http://arxiv.org/abs/2012.06494v1
• [cs.CV]Video Camera Identification from Sensor Pattern Noise with a Constrained ConvNet
Derrick Timmerman, Swaroop Bennabhaktula, Enrique Alegre, George Azzopardi
http://arxiv.org/abs/2012.06277v1
• [cs.CV]Vision-based Price Suggestion for Online Second-hand Items
Liang Han, Zhaozheng Yin, Zhurong Xia, Li Guo, Mingqian Tang, Rong Jin
http://arxiv.org/abs/2012.06009v1
• [cs.CV]Writer Identification and Writer Retrieval Based on NetVLAD with Re-ranking
Shervin Rasoulzadeh, Bagher Babaali
http://arxiv.org/abs/2012.06186v1
• [cs.CY]Artificial Intelligence & Cooperation
Elisa Bertino, Finale Doshi-Velez, Maria Gini, Daniel Lopresti, David Parkes
http://arxiv.org/abs/2012.06034v1
• [cs.CY]Digital Contact Tracing: Technologies, Shortcomings, and the Path Forward
Amee Trivedi, Deepak Vasisht
http://arxiv.org/abs/2012.06466v1
• [cs.CY]Impact of Business technologies on the success of Ecommerce Strategies: SMEs Perspective
Z. H. A Almtiri, S. J. Miah
http://arxiv.org/abs/2012.06214v1
• [cs.CY]Interdisciplinary Approaches to Understanding Artificial Intelligence’s Impact on Society
Suresh Venkatasubramanian, Nadya Bliss, Helen Nissenbaum, Melanie Moses
http://arxiv.org/abs/2012.06057v1
• [cs.CY]Next Wave Artificial Intelligence: Robust, Explainable, Adaptable, Ethical, and Accountable
Odest Chadwicke Jenkins, Daniel Lopresti, Melanie Mitchell
http://arxiv.org/abs/2012.06058v1
• [cs.CY]The Rise of AI-Driven Simulators: Building a New Crystal Ball
Ian Foster, David Parkes, Stephan Zheng
http://arxiv.org/abs/2012.06049v1
• [cs.DC]Analyzing the Performance of Smart Industry 4.0 Applications on Cloud Computing Systems
Razin Farhan Hussain, Alireza Pakravan, Mohsen Amini Salehi
http://arxiv.org/abs/2012.06054v1
• [cs.DC]Descriptive and Predictive Analysis of Aggregating Functions in Serverless Clouds: the Case of Video Streaming
Shangrui Wu, Chavit Denninnart, Xiangbo Li, Yang Wang, Mohsen Amini Salehi
http://arxiv.org/abs/2012.06021v1
• [cs.DC]Efficient Distributed Transposition Of Large-Scale Multigraphs And High-Cardinality Sparse Matrices
Bruno Magalhaes, Felix Schürmann
http://arxiv.org/abs/2012.06012v1
• [cs.DC]Smart Grid Management using Blockchain: Future Scenarios and Challenges
Tudor Cioara, Claudia Pop, Razvan Zanc, Ionut Anghel, Marcel Antal, Ioan Salomie
http://arxiv.org/abs/2012.06256v1
• [cs.DC]The Future is Big Graphs! A Community View on Graph Processing Systems
Sherif Sakr, Angela Bonifati, Hannes Voigt, Alexandru Iosup, Khaled Ammar, Renzo Angles, Walid Aref, Marcelo Arenas, Maciej Besta, Peter A. Boncz, Khuzaima Daudjee, Emanuele Della Valle, Stefania Dumbrava, Olaf Hartig, Bernhard Haslhofer, Tim Hegeman, Jan Hidders, Katja Hose, Adriana Iamnitchi, Vasiliki Kalavri, Hugo Kapp, Wim Martens, M. Tamer Özsu, Eric Peukert, Stefan Plantikow, Mohamed Ragab, Matei R. Ripeanu, Semih Salihoglu, Christian Schulz, Petra Selmer, Juan F. Sequeda, Joshua Shinavier, Gábor Szárnyas, Riccardo Tommasini, Antonino Tumeo, Alexandru Uta, Ana Lucia Varbanescu, Hsiang-Yun Wu, Nikolay Yakovets, Da Yan, Eiko Yoneki
http://arxiv.org/abs/2012.06171v1
• [cs.DC]Trash Talk: Accelerating Garbage Collection on Integrated GPUs is Worthless
Mohammad Dashti, Alexandra Fedorova
http://arxiv.org/abs/2012.06281v1
• [cs.DC]Usage Scenarios for Byte-Addressable Persistent Memory inHigh-Performance and Data Intensive Computing
Michele Weiland, Bernhard Homoelle
http://arxiv.org/abs/2012.06473v1
• [cs.DS]Online Coresets for Clustering with Bregman Divergences
Rachit Chhaya, Jayesh Choudhari, Anirban Dasgupta, Supratim Shit
http://arxiv.org/abs/2012.06522v1
• [cs.GT]Selfish Creation of Social Networks
Davide Bilò, Tobias Friedrich, Pascal Lenzner, Stefanie Lowski, Anna Melnichenko
http://arxiv.org/abs/2012.06203v1
• [cs.IR]A Topic Coverage Approach to Evaluation of Topic Models
Damir Korenčić, Strahil Ristov, Jelena Repar, Jan Šnajder
http://arxiv.org/abs/2012.06274v1
• [cs.IR]KOSMOS: Knowledge-graph Oriented Social media and Mainstream media Overview System
Chua Hao Yang, Yong Shan Jie, Boon Kok Chin, Lander Chin, Lynnette Hui Xian Ng
http://arxiv.org/abs/2012.06209v1
• [cs.IR]Market2Dish: Health-aware Food Recommendation
Wenjie Wang, Ling-yu Duan, Hao Jiang, Peiguang Jing, Xuemeng Song, Liqiang Nie
http://arxiv.org/abs/2012.06416v1
• [cs.IR]Using Affective Aware Pseudo Association Method to Connect Disjoint Users and Items for Making Cross-Domain Recommendations
John Kalung Leung, Igor Griva, William G. Kennedy
http://arxiv.org/abs/2012.05982v1
• [cs.IT]Coded sparse matrix computation schemes that leverage partial stragglers
Anindya Bijoy Das, Aditya Ramamoorthy
http://arxiv.org/abs/2012.06065v1
• [cs.IT]Soft Compression for Lossless Image Coding
Gangtao Xin, Pingyi Fan
http://arxiv.org/abs/2012.06240v1
• [cs.IT]The Generalized Covering Radii of Linear Codes
Dor Elimelech, Marcelo Firer, Moshe Schwartz
http://arxiv.org/abs/2012.06467v1
• [cs.LG]$π$-ROAD: a Learn-as-You-Go Framework for On-Demand Emergency Slices in V2X Scenarios
Armin Okic, Lanfranco Zanzi, Vincenzo Sciancalepore, Alessandro Redondi, Xavier Costa-Perez
http://arxiv.org/abs/2012.06208v1
• [cs.LG]A New Neural Network Architecture Invariant to the Action of Symmetry Subgroups
Piotr Kicki, Mete Ozay, Piotr Skrzypczyński
http://arxiv.org/abs/2012.06452v1
• [cs.LG]A Review of Hidden Markov Models and Recurrent Neural Networks for Event Detection and Localization in Biomedical Signals
Yassin Khalifa, Danilo Mandic, Ervin Sejdić
http://arxiv.org/abs/2012.06104v1
• [cs.LG]A Simplistic Machine Learning Approach to Contact Tracing
Carlos Gómez, Niamh Belton, Boi Quach, Jack Nicholls, Devanshu Anand
http://arxiv.org/abs/2012.05940v1
• [cs.LG]ADD: Augmented Disentanglement Distillation Framework for Improving Stock Trend Forecasting
Hongshun Tang, Lijun Wu, Weiqing Liu, Jiang Bian
http://arxiv.org/abs/2012.06289v1
• [cs.LG]Acoustic Leak Detection in Water Networks
Robert Müller, Steffen Illium, Fabian Ritz, Tobias Schröder, Christian Platschek, Jörg Ochs, Claudia Linnhoff-Popoien
http://arxiv.org/abs/2012.06280v1
• [cs.LG]Adaptive Submodular Meta-Learning
Shaojie Tang, Jing Yuan
http://arxiv.org/abs/2012.06070v1
• [cs.LG]AdvantageNAS: Efficient Neural Architecture Search with Credit Assignment
Rei Sato, Jun Sakuma, Youhei Akimoto
http://arxiv.org/abs/2012.06138v1
• [cs.LG]An AI-Assisted Design Method for Topology Optimization Without Pre-Optimized Training Data
Alex Halle, L. Flavio Campanile, Alexander Hasse
http://arxiv.org/abs/2012.06384v1
• [cs.LG]Analyzing and Improving Generative Adversarial Training for Generative Modeling and Out-of-Distribution Detection
Xuwang Yin, Shiying Li, Gustavo K. Rohde
http://arxiv.org/abs/2012.06568v1
• [cs.LG]Beyond Occam’s Razor in System Identification: Double-Descent when Modeling Dynamics
Antônio H. Ribeiro, Johannes N. Hendriks, Adrian G. Wills, Thomas B. Schön
http://arxiv.org/abs/2012.06341v1
• [cs.LG]Closeness and Uncertainty Aware Adversarial Examples Detection in Adversarial Machine Learning
Omer Faruk Tuna, Ferhat Ozgur Catak, M. Taner Eskil
http://arxiv.org/abs/2012.06390v1
• [cs.LG]Comparison of Anomaly Detectors: Context Matters
Vít Škvára, Jan Franců, Matěj Zorek, Tomáš Pevný, Václav Šmídl
http://arxiv.org/abs/2012.06260v1
• [cs.LG]DSRNA: Differentiable Search of Robust Neural Architectures
Ramtin Hosseini, Xingyi Yang, Pengtao Xie
http://arxiv.org/abs/2012.06122v1
• [cs.LG]Data Appraisal Without Data Sharing
Mimee Xu, Laurens van der Maaten, Awni Hannun
http://arxiv.org/abs/2012.06430v1
• [cs.LG]Data-driven Method for Estimating Aircraft Mass from Quick Access Recorder using Aircraft Dynamics and Multilayer Perceptron Neural Network
Xinyu He, Fang He, Xinting Zhu, Lishuai Li
http://arxiv.org/abs/2012.05907v1
• [cs.LG]Deep Learning Approach for Matrix Completion Using Manifold Learning
Saeid Mehrdad, Mohammad Hossein Kahaei
http://arxiv.org/abs/2012.06063v1
• [cs.LG]Deep Neural Networks Are Effective At Learning High-Dimensional Hilbert-Valued Functions From Limited Data
Ben Adcock, Simone Brugiapaglia, Nick Dexter, Sebastian Moraga
http://arxiv.org/abs/2012.06081v1
• [cs.LG]EarthNet2021: A novel large-scale dataset and challenge for forecasting localized climate impacts
Christian Requena-Mesa, Vitus Benson, Joachim Denzler, Jakob Runge, Markus Reichstein
http://arxiv.org/abs/2012.06246v1
• [cs.LG]Exploiting Behavioral Consistence for Universal User Representation
Jie Gu, Feng Wang, Qinghui Sun, Zhiquan Ye, Xiaoxiao Xu, Jingmin Chen, Jun Zhang
http://arxiv.org/abs/2012.06146v1
• [cs.LG]Feature Selection Based on Sparse Neural Network Layer with Normalizing Constraints
Peter Bugata, Peter Drotar
http://arxiv.org/abs/2012.06365v1
• [cs.LG]Generative Learning With Euler Particle Transport
Yuan Gao, Jian Huang, Yuling Jiao, Jin Liu, Xiliang Lu, Zhijian Yang
http://arxiv.org/abs/2012.06094v1
• [cs.LG]Hard-ODT: Hardware-Friendly Online Decision Tree Learning Algorithm and System
Zhe Lin, Sharad Sinha, Wei Zhang
http://arxiv.org/abs/2012.06272v1
• [cs.LG]Hardware Beyond Backpropagation: a Photonic Co-Processor for Direct Feedback Alignment
Julien Launay, Iacopo Poli, Kilian Müller, Gustave Pariente, Igor Carron, Laurent Daudet, Florent Krzakala, Sylvain Gigan
http://arxiv.org/abs/2012.06373v1
• [cs.LG]I-GCN: Robust Graph Convolutional Network via Influence Mechanism
Haoxi Zhan, Xiaobing Pei
http://arxiv.org/abs/2012.06110v1
• [cs.LG]Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling
Benedikt Boecking, Willie Neiswanger, Eric Xing, Artur Dubrawski
http://arxiv.org/abs/2012.06046v1
• [cs.LG]Learning physically consistent mathematical models from data using group sparsity
Suryanarayana Maddu, Bevan L. Cheeseman, Christian L. Müller, Ivo F. Sbalzarini
http://arxiv.org/abs/2012.06391v1
• [cs.LG]OPAC: Opportunistic Actor-Critic
Srinjoy Roy, Saptam Bakshi, Tamal Maharaj
http://arxiv.org/abs/2012.06555v1
• [cs.LG]OpenHoldem: An Open Toolkit for Large-Scale Imperfect-Information Game Research
Kai Li, Hang Xu, Meng Zhang, Enmin Zhao, Zhe Wu, Junliang Xing, Kaiqi Huang
http://arxiv.org/abs/2012.06168v1
• [cs.LG]Pair-view Unsupervised Graph Representation Learning
You Li, Binli Luo, Ning Gui
http://arxiv.org/abs/2012.06113v1
• [cs.LG]Parallelized Rate-Distortion Optimized Quantization Using Deep Learning
Dana Kianfar, Auke Wiggers, Amir Said, Reza Pourreza, Taco Cohen
http://arxiv.org/abs/2012.06380v1
• [cs.LG]Prediction of Hemolysis Tendency of Peptides using a Reliable Evaluation Method
Ali Raza, Hafiz Saud Arshad
http://arxiv.org/abs/2012.06470v1
• [cs.LG]Query Understanding for Natural Language Enterprise Search
Francisco Borges, Georgios Balikas, Marc Brette, Guillaume Kempf, Arvind Srikantan, Matthieu Landos, Darya Brazouskaya, Qianqian Shi
http://arxiv.org/abs/2012.06238v1
• [cs.LG]RENATA: REpreseNtation And Training Alteration for Bias Mitigation
William Paul, Armin Hadzic, Neil Joshi, Phil Burlina
http://arxiv.org/abs/2012.06387v1
• [cs.LG]Smooth Bandit Optimization: Generalization to Hölder Space
Yusha Liu, Yining Wang, Aarti Singh
http://arxiv.org/abs/2012.06076v1
• [cs.LG]Structured learning of rigid-body dynamics: A survey and unified view
A. René Geist, Sebastian Trimpe
http://arxiv.org/abs/2012.06250v1
• [cs.LG]The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks
Bohan Wang, Qi Meng, Wei Chen
http://arxiv.org/abs/2012.06244v1
• [cs.LG]Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method
Yuntian Chen, Dou Huang, Dongxiao Zhang, Junsheng Zeng, Nanzhe Wang, Haoran Zhang, Jinyue Yan
http://arxiv.org/abs/2012.06148v1
• [cs.LG]Unsupervised Learning of slow features for Data Efficient Regression
Oliver Struckmeier, Kshitij Tiwari, Ville Kyrki
http://arxiv.org/abs/2012.06279v1
• [cs.LG]When is Memorization of Irrelevant Training Data Necessary for High-Accuracy Learning?
Gavin Brown, Mark Bun, Vitaly Feldman, Adam Smith, Kunal Talwar
http://arxiv.org/abs/2012.06421v1
• [cs.NE]Better call Surrogates: A hybrid Evolutionary Algorithm for Hyperparameter optimization
Subhodip Biswas, Adam D Cobb, Andreea Sistrunk, Naren Ramakrishnan, Brian Jalaian
http://arxiv.org/abs/2012.06453v1
• [cs.NE]Differential Evolution for Neural Architecture Search
Noor Awad, Neeratyoy Mallik, Frank Hutter
http://arxiv.org/abs/2012.06400v1
• [cs.NE]Learnable and time-reversible cellular automata with holography principle
Hyun Ju Go
http://arxiv.org/abs/2012.06441v1
• [cs.NI]Sketchy With a Chance of Adoption: Can Sketch-Based Telemetry Be Ready for Prime Time?
Zaoxing Liu, Hun Namkung, Anup Agarwal, Antonis Manousis, Peter Steenkiste, Srinivasan Seshan, Vyas Sekar
http://arxiv.org/abs/2012.06001v1
• [cs.RO]A Robust Aerial Gripper for Passive Grasping and Impulsive Release using Scotch Yoke Mechanism
V. SRajashekhar, M. R. Vibha, Kaushik Das, Debasish Ghose
http://arxiv.org/abs/2012.06152v1
• [cs.RO]A Vision-based Sensing Approach for a Spherical Soft Robotic Arm
Matthias Hofer, Carmelo Sferrazza, Raffaello D’Andrea
http://arxiv.org/abs/2012.06413v1
• [cs.RO]Cost-to-Go Function Generating Networks for High Dimensional Motion Planning
Jinwook Huh, Volkan Isler, Daniel D. Lee
http://arxiv.org/abs/2012.06023v1
• [cs.RO]Crowd Vetting: Rejecting Adversaries via Collaboration—with Application to Multi-Robot Flocking
Frederik Mallmann-Trenn, Matthew Cavorsi, Stephanie Gil
http://arxiv.org/abs/2012.06291v1
• [cs.RO]Dual Control for Exploitation and Exploration (DCEE) in Autonomous Search
Wen-Hua Chen, Callum Rhodes, Cunjia Liu
http://arxiv.org/abs/2012.06276v1
• [cs.RO]Learning How to Trade-Off Safety with Agility Using Deep Covariance Estimation for Perception Driven UAV Motion Planning
Onur Akgun, Kamil Canberk Atik, Mustafa Erdem, Mehmetcan Kaymaz, Bugrahan Yamak, N. Kemal Ure
http://arxiv.org/abs/2012.06410v1
• [cs.RO]Motion Mappings for Continuous Bilateral Teleoperation
Xiao Gao, João Silvério, Emmanuel Pignat, Sylvain Calinon, Miao Li, Xiaohui Xiao
http://arxiv.org/abs/2012.06268v1
• [cs.RO]Probabilistic Iterative LQR for Short Time Horizon MPC
Teguh Santoso Lembono, Sylvain Calinon
http://arxiv.org/abs/2012.06349v1
• [cs.RO]Spotlight-based 3D Instrument Guidance for Retinal Surgery
Mingchuan Zhou, Jiahao Wu, Ali Ebrahimi, Niravkumar Patel, Changyan He, Peter Gehlbach, Russell H Taylor, Alois Knoll, M Ali Nasseri, Iulian I Iordachita
http://arxiv.org/abs/2012.06292v1
• [cs.RO]Structured Policy Representation: Imposing Stability in arbitrarily conditioned dynamic systems
Julen Urain, Davide Tateo, Tianyu Ren, Jan Peters
http://arxiv.org/abs/2012.06224v1
• [cs.RO]Technical Opinion: From Animal Behaviour to Autonomous Robots
Chinedu Pascal Ezenkwu, Andrew Starkey
http://arxiv.org/abs/2012.06492v1
• [cs.RO]Underactuated Motion Planning and Control for Jumping with Wheeled-Bipedal Robots
Hua Chen, Bingheng Wang, Zejun Hong, Cong Shen, Patrick M. Wensing, Wei Zhang
http://arxiv.org/abs/2012.06156v1
• [cs.SD]Analysis of Feature Representations for Anomalous Sound Detection
Robert Müller, Steffen Illium, Fabian Ritz, Kyrill Schmid
http://arxiv.org/abs/2012.06282v1
• [cs.SD]Exploring wav2vec 2.0 on speaker verification and language identification
Zhiyun Fan, Meng Li, Shiyu Zhou, Bo Xu
http://arxiv.org/abs/2012.06185v1
• [cs.SE]Guiding Development Work Across a Software Ecosystem by Visualizing Usage Data
Christopher Bogart, James Howison, James Herbsleb
http://arxiv.org/abs/2012.05987v1
• [cs.SI]A Comment on and Correction to: Opinion dynamics in the presence of increasing agreement pressure
Christopher Griffin
http://arxiv.org/abs/2012.05985v1
• [cs.SI]Characterizing Twitter users behaviour during the Spanish Covid-19 first wave
Bernat Esquirol, Luce Prignano, Albert Díaz-Guilera, Emanuele Cozzo
http://arxiv.org/abs/2012.06550v1
• [cs.SI]How question quality drives Web performance in community question answering sites
Alyssa Shuang Sha, Yingnan Shi, Armin Haller
http://arxiv.org/abs/2012.06263v1
• [cs.SI]Limits of PageRank-based ranking methods in sports data
Yuhao Zhou, Ruijie Wang, Yi-Cheng Zhang, An Zeng, Matúš Medo
http://arxiv.org/abs/2012.06366v1
• [eess.IV]3D Scattering Tomography by Deep Learning with Architecture Tailored to Cloud Fields
Yael Sde-Chen, Yoav Y. Schechner, Vadim Holodovsky, Eshkol Eytan
http://arxiv.org/abs/2012.05960v1
• [eess.IV]AIforCOVID: predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study
Paolo Soda, Natascha Claudia D’Amico, Jacopo Tessadori, Giovanni Valbusa, Valerio Guarrasi, Chandra Bortolotto, Muhammad Usman Akbar, Rosa Sicilia, Ermanno Cordelli, Deborah Fazzini, Michaela Cellina, Giancarlo Oliva, Giovanni Callea, Silvia Panella, Maurizio Cariati, Diletta Cozzi, Vittorio Miele, Elvira Stellato, Gian Paolo Carrafiello, Giulia Castorani, Annalisa Simeone, Lorenzo Preda, Giulio Iannello, Alessio Del Bue, Fabio Tedoldi, Marco Alì, Diego Sona, Sergio Papa
http://arxiv.org/abs/2012.06531v1
• [eess.IV]Context Matters: Graph-based Self-supervised Representation Learning for Medical Images
Li Sun, Ke Yu, Kayhan Batmanghelich
http://arxiv.org/abs/2012.06457v1
• [eess.IV]Uncertainty-driven refinement of tumor-core segmentation using 3D-to-2D networks with label uncertainty
Richard McKinley, Micheal Rebsamen, Katrin Daetwyler, Raphael Meier, Piotr Radojewski, Roland Wiest
http://arxiv.org/abs/2012.06436v1
• [eess.SP]An algorithm for onset detection of linguistic segments in continuous electroencephalogram signals
Tonatiuh Hernández-Del-Toro, Carlos A. Reyes-García
http://arxiv.org/abs/2012.06075v1
• [eess.SP]Synergistic Integration of Optical and Microwave Satellite Data for Crop Yield Estimation
Anna Mateo-Sanchis, Maria Piles, Jordi Muñoz-Marí, Jose E. Adsuara, Adrián Pérez-Suay, Gustau Camps-Valls
http://arxiv.org/abs/2012.05905v1
• [eess.SY]On the Observability and Controllability of Large-Scale IoT Networks: Reducing Number of Unmatched Nodes via Link Addition
Mohammadreza Doostmohammadian, Hamid R. Rabiee
http://arxiv.org/abs/2012.06198v1
• [math.OC]Recent Theoretical Advances in Non-Convex Optimization
Marina Danilova, Pavel Dvurechensky, Alexander Gasnikov, Eduard Gorbunov, Sergey Guminov, Dmitry Kamzolov, Innokentiy Shibaev
http://arxiv.org/abs/2012.06188v1
• [math.ST]A new non-negative distribution with both finite and infinite support
Matthew Roughan
http://arxiv.org/abs/2012.06019v1
• [math.ST]Handy Formulas for Binomial Moments
Maciej Skorski
http://arxiv.org/abs/2012.06270v1
• [math.ST]On the UMVUE and Closed-Form Bayes Estimator for $Pr(X<Y<Z)$ and its Generalizations
Tau Raphael Rasethuntsa
http://arxiv.org/abs/2012.06487v1
• [math.ST]Optimal selection of a common subset of covariates for different regressions
David Azriel, Yosef Rinott
http://arxiv.org/abs/2012.05949v1
• [physics.comp-ph]Comparison of Update and Genetic Training Algorithms in a Memristor Crossbar Perceptron
Kyle N. Edwards, Xiao Shen
http://arxiv.org/abs/2012.06027v1
• [physics.ins-det]Deep-Learning-Based Kinematic Reconstruction for DUNE
Junze Liu, Jordan Ott, Julian Collado, Benjamin Jargowsky, Wenjie Wu, Jianming Bian, Pierre Baldi
http://arxiv.org/abs/2012.06181v1
• [physics.soc-ph]Interacting discovery processes on complex networks
Iacopo Iacopini, Gabriele Di Bona, Enrico Ubaldi, Vittorio Loreto, Vito Latora
http://arxiv.org/abs/2012.06369v1
• [physics.space-ph]Improving solar wind forecasting using Data Assimilation
Matthew Lang, Jake Witherington, Harriet Turner, Matt Owens, Pete Riley
http://arxiv.org/abs/2012.06362v1
• [q-bio.QM]Gap Filling of Biophysical Parameter Time Series with Multi-Output Gaussian Processes
Anna Mateo-Sanchis, Jordi Munoz-Mari, Manuel Campos-Taberner, Javier Garcia-Haro, Gustau Camps-Valls
http://arxiv.org/abs/2012.05912v1
• [quant-ph]Sublinear classical and quantum algorithms for general matrix games
Tongyang Li, Chunhao Wang, Shouvanik Chakrabarti, Xiaodi Wu
http://arxiv.org/abs/2012.06519v1
• [stat.AP]A Methodology to Derive Global Maps of Leaf Traits Using Remote Sensing and Climate Data
Alvaro Moreno-Martinez, Gustau Camps-Valls, Jens Kattge, Nathaniel Robinson, Markus Reichstein, Peter van Bodegom, Koen Kramer, J. Hans C. Cornelissen, Peter Reich, Michael Bahn, Ulo Niinemets, Josep Peñuelas, Joseph Craine, Bruno E. L. Cerabolini, Vanessa Minden, Daniel C. Laughlin, Lawren Sack, Brady Allred, Christopher Baraloto, Chaeho Byun, Nadejda A. Soudzilovskaia, Steven W. Running
http://arxiv.org/abs/2012.06417v1
• [stat.AP]Data Analytics Driven Controlling: bridging statistical modeling and managerial intuition
Kainat Khowaja, Danial Saef, Sergej Sizov, Wolfgang Karl Härdle
http://arxiv.org/abs/2012.06577v1
• [stat.CO]Kernel Estimator and Bandwidth Selection for Density and its Derivatives: The kedd Package
Arsalane Chouaib Guidoum
http://arxiv.org/abs/2012.06102v1
• [stat.CO]Randomised Wasserstein Barycenter Computation: Resampling with Statistical Guarantees
Florian Heinemann, Axel Munk, Yoav Zemel
http://arxiv.org/abs/2012.06397v1
• [stat.ME]A flexible sensitivity analysis approach for unmeasured confounding with multiple treatments and a binary outcome
Liangyuan Hu, Jungang Zou, Chenyang Gu, Jiayi Ji, Michael Lopez, Minal Kale
http://arxiv.org/abs/2012.06093v1
• [stat.ME]Bayesian Variable Selection for Single Index Logistic Model
Yinrui Sun, Hangjin Jiang
http://arxiv.org/abs/2012.06199v1
• [stat.ME]Bayesian nonstationary and nonparametric covariance estimation for large spatial data
Brian Kidd, Matthias Katzfuss
http://arxiv.org/abs/2012.05967v1
• [stat.ME]Generalized fiducial factor: an alternative to the Bayes factor for forensic identification of source problems
Jonathan P Williams, Danica M Ommen, Jan Hannig
http://arxiv.org/abs/2012.05936v1
• [stat.ME]Power prior models for treatment effect estimation in a small n, sequential, multiple assignment, randomized trial
Yan-Cheng Chao, Thomas M. Braun, Roy N. Tamura, Kelley M. Kidwell
http://arxiv.org/abs/2012.05968v1
• [stat.ME]Sequential Estimation of Nonparametric Correlation using Hermite Series Estimators
Michael Stephanou, Melvin Varughese
http://arxiv.org/abs/2012.06287v1
• [stat.ME]Sparse Functional Linear Discriminant Analysis
Juhyun Park, Jeongyoun Ahn, Yongho Jeon
http://arxiv.org/abs/2012.06488v1
• [stat.ME]Structure learning for extremal tree models
Sebastian Engelke, Stanislav Volgushev
http://arxiv.org/abs/2012.06179v1
• [stat.ML]Clustering multivariate functional data using unsupervised binary trees
Golovkine Steven, Klutchnikoff Nicolas, Patilea Valentin
http://arxiv.org/abs/2012.05973v1
• [stat.ML]Glucose values prediction five years ahead with a new framework of missing responses in reproducing kernel Hilbert spaces, and the use of continuous glucose monitoring technology
Marcos Matabuena, Paulo Félix, Carlos Meijide-Garcia, Francisco Gude
http://arxiv.org/abs/2012.06564v1
• [stat.ML]Neural Dynamic Mode Decomposition for End-to-End Modeling of Nonlinear Dynamics
Tomoharu Iwata, Yoshinobu Kawahara
http://arxiv.org/abs/2012.06191v1
• [stat.ML]Risk & returns around FOMC press conferences: a novel perspective from computer vision
Alexis Marchal
http://arxiv.org/abs/2012.06573v1
• [stat.OT]Casting Multiple Shadows: High-Dimensional Interactive Data Visualisation with Tours and Embeddings
Stuart Lee, Ursula Laa, Dianne Cook
http://arxiv.org/abs/2012.06077v1
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