cond-mat.stat-mech - 统计数学

    cs.AI - 人工智能 cs.AR - 硬件体系结构 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.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.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 hep-ph - 高能物理现象学 math.CO - 组合数学 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.chem-ph -化学物理 physics.flu-dyn - 流体动力学 physics.geo-ph - 地球物理学 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cond-mat.stat-mech]Neuroevolutionary learning of particles and protocols for self-assembly
    • [cs.AI]A Fast Edge-Based Synchronizer for Tasks in Real-Time Artificial Intelligence Applications
    • [cs.AI]Are We On The Same Page? Hierarchical Explanation Generation for Planning Tasks in Human-Robot Teaming using Reinforcement Learning
    • [cs.AI]BKT-LSTM: Efficient Student Modeling for knowledge tracing and student performance prediction
    • [cs.AI]Encoding Syntactic Knowledge in Transformer Encoder for Intent Detection and Slot Filling
    • [cs.AI]Exploring and Analyzing Machine Commonsense Benchmarks
    • [cs.AI]Generalized Relation Learning with Semantic Correlation Awareness for Link Prediction
    • [cs.AI]Knowledge Graphs Evolution and Preservation — A Technical Report from ISWS 2019
    • [cs.AI]Learning to Play Imperfect-Information Games by Imitating an Oracle Planner
    • [cs.AI]Multi-shot NAS for Discovering Adversarially Robust Convolutional Neural Architectures at Targeted Capacities
    • [cs.AI]Off-Policy Optimization of Portfolio Allocation Policies under Constraints
    • [cs.AI]Taking Principles Seriously: A Hybrid Approach to Value Alignment
    • [cs.AR]Reducing Solid State Drive Read Latency by Optimizing Read-Retry
    • [cs.AR]SIMDRAM: A Framework for Bit-Serial SIMD Processing Using DRAM
    • [cs.CL]A Distributional Approach to Controlled Text Generation
    • [cs.CL]A Hierarchical Reasoning Graph Neural Network for The Automatic Scoring of Answer Transcriptions in Video Job Interviews
    • [cs.CL]Acronym Identification and Disambiguation shared tasksfor Scientific Document Understanding
    • [cs.CL]Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition
    • [cs.CL]Applying wav2vec2.0 to Speech Recognition in various low-resource languages
    • [cs.CL]BERTChem-DDI : Improved Drug-Drug Interaction Prediction from text using Chemical Structure Information
    • [cs.CL]Domain Adaptation of NMT models for English-Hindi Machine Translation Task at AdapMT ICON 2020
    • [cs.CL]Few-Shot Text Generation with Pattern-Exploiting Training
    • [cs.CL]Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation
    • [cs.CL]Improved Biomedical Word Embeddings in the Transformer Era
    • [cs.CL]Learning to Retrieve Entity-Aware Knowledge and Generate Responses with Copy Mechanism for Task-Oriented Dialogue Systems
    • [cs.CL]Pre-Training a Language Model Without Human Language
    • [cs.CL]Recognizing Emotion Cause in Conversations
    • [cs.CL]SChuBERT: Scholarly Document Chunks with BERT-encoding boost Citation Count Prediction
    • [cs.CL]Semi-Supervised Disentangled Framework for Transferable Named Entity Recognition
    • [cs.CL]Subword Sampling for Low Resource Word Alignment
    • [cs.CL]Uncertainty and Surprisal Jointly Deliver the Punchline: Exploiting Incongruity-Based Features for Humor Recognition
    • [cs.CL]Undivided Attention: Are Intermediate Layers Necessary for BERT?
    • [cs.CL]g2tmn at Constraint@AAAI2021: Exploiting CT-BERT and Ensembling Learning for COVID-19 Fake News Detection
    • [cs.CR]A Vulnerability Study on Academic Collaboration Networks Based on Network Dynamics
    • [cs.CR]Information Leakage Games: Exploring Information as a Utility Function
    • [cs.CV]3D Point-to-Keypoint Voting Network for 6D Pose Estimation
    • [cs.CV]A Hybrid VDV Model for Automatic Diagnosis of Pneumothorax using Class-Imbalanced Chest X-rays Dataset
    • [cs.CV]Adversarial Multiscale Feature Learning for Overlapping Chromosome Segmentation
    • [cs.CV]Alleviating Noisy Data in Image Captioning with Cooperative Distillation
    • [cs.CV]Contraband Materials Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery
    • [cs.CV]Convolutional Recurrent Network for Road Boundary Extraction
    • [cs.CV]Do We Really Need Scene-specific Pose Encoders?
    • [cs.CV]FcaNet: Frequency Channel Attention Networks
    • [cs.CV]Geometric robust descriptor for 3D point cloud
    • [cs.CV]Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos
    • [cs.CV]GuidedStyle: Attribute Knowledge Guided Style Manipulation for Semantic Face Editing
    • [cs.CV]HDNET: Exploiting HD Maps for 3D Object Detection
    • [cs.CV]Human Action Recognition from Various Data Modalities: A Review
    • [cs.CV]Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge
    • [cs.CV]Image to Bengali Caption Generation Using Deep CNN and Bidirectional Gated Recurrent Unit
    • [cs.CV]Latent Feature Representation via Unsupervised Learning for Pattern Discovery in Massive Electron Microscopy Image Volumes
    • [cs.CV]Learning Disentangled Semantic Representation for Domain Adaptation
    • [cs.CV]Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object Segmentation
    • [cs.CV]Limitation of Acyclic Oriented Graphs Matching as Cell Tracking Accuracy Measure when Evaluating Mitosis
    • [cs.CV]Modeling Deep Learning Based Privacy Attacks on Physical Mail
    • [cs.CV]Multiple Instance Segmentation in Brachial Plexus Ultrasound Image Using BPMSegNet
    • [cs.CV]Natural vs Balanced Distribution in Deep Learning on Whole Slide Images for Cancer Detection
    • [cs.CV]Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Deforming Scene from Monocular Video
    • [cs.CV]Power-SLIC: Diagram-based superpixel generation
    • [cs.CV]Predicting Online Video Advertising Effects with Multimodal Deep Learning
    • [cs.CV]Progressive One-shot Human Parsing
    • [cs.CV]SERV-CT: A disparity dataset from CT for validation of endoscopic 3D reconstruction
    • [cs.CV]Subject-independent Human Pose Image Construction with Commodity Wi-Fi
    • [cs.CV]Time-Travel Rephotography
    • [cs.CV]Training Convolutional Neural Networks With Hebbian Principal Component Analysis
    • [cs.CV]Training DNNs in O(1) memory with MEM-DFA using Random Matrices
    • [cs.CV]Unadversarial Examples: Designing Objects for Robust Vision
    • [cs.CV]Underwater image filtering: methods, datasets and evaluation
    • [cs.CV]YolactEdge: Real-time Instance Segmentation on the Edge (Jetson AGX Xavier: 30 FPS, RTX 2080 Ti: 170 FPS)
    • [cs.CY]Data Combination for Problem-solving: A Case of an Open Data Exchange Platform
    • [cs.CY]Facebook Ad Engagement in the Russian Active Measures Campaign of 2016
    • [cs.DB]SARS-CoV-2 Coronavirus Data Compression Benchmark
    • [cs.DC]Scheduling Coflows with Dependency Graph
    • [cs.HC]Trust in robot-mediated health information
    • [cs.IR]Event-Driven Query Expansion
    • [cs.IR]Intelligent Vector-based Customer Segmentation in the Banking Industry
    • [cs.IR]Neural Methods for Effective, Efficient, and Exposure-Aware Information Retrieval
    • [cs.IR]Personalized Adaptive Meta Learning for Cold-start User Preference Prediction
    • [cs.IT]A generalization of Costa’s Entropy Power Inequality
    • [cs.IT]A generalization of the construction of quantum codes from Hermitian self-orthogonal codes
    • [cs.IT]Optimum Reconfigurable Intelligent Surface Selection for Indoor and Outdoor Communications
    • [cs.IT]Ordinary Differential Equation-based CNN for Channel Extrapolation over RIS-assisted Communication
    • [cs.IT]Timely Monitoring of Dynamic Sources with Observations from Multiple Wireless Sensors
    • [cs.LG]A Second-Order Approach to Learning with Instance-Dependent Label Noise
    • [cs.LG]A Survey of Methods for Managing the Classification and Solution of Data Imbalance Problem
    • [cs.LG]Autonomous sPOMDP Environment Modeling With Partial Model Exploitation
    • [cs.LG]Bounding the Complexity of Formally Verifying Neural Networks: A Geometric Approach
    • [cs.LG]C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak
    • [cs.LG]Can I Still Trust You?: Understanding the Impact of Distribution Shifts on Algorithmic Recourses
    • [cs.LG]Cost-sensitive Semi-supervised Classification for Fraud Applications
    • [cs.LG]Cross-Domain Latent Modulation for Variational Transfer Learning
    • [cs.LG]Data Assimilation in the Latent Space of a Neural Network
    • [cs.LG]Deep Multi-attribute Graph Representation Learning on Protein Structures
    • [cs.LG]Differentially Private Synthetic Medical Data Generation using Convolutional GANs
    • [cs.LG]Dual-encoder Bidirectional Generative Adversarial Networks for Anomaly Detection
    • [cs.LG]Dynamic penalty function approach for constraints handling in reinforcement learning
    • [cs.LG]Explicitly Encouraging Low Fractional Dimensional Trajectories Via Reinforcement Learning
    • [cs.LG]Fast Physical Activity Suggestions: Efficient Hyperparameter Learning in Mobile Health
    • [cs.LG]Fast and Accurate $k$-means++ via Rejection Sampling
    • [cs.LG]FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations
    • [cs.LG]Gaussian Process Regression constrained by Boundary Value Problems
    • [cs.LG]Graph Autoencoders with Deconvolutional Networks
    • [cs.LG]Informer: Transformer Likes Informed Attention
    • [cs.LG]Interpreting Deep Learning Models for Epileptic Seizure Detection on EEG signals
    • [cs.LG]Learning to Initialize Gradient Descent Using Gradient Descent
    • [cs.LG]MailLeak: Obfuscation-Robust Character Extraction Using Transfer Learning
    • [cs.LG]MetaAugment: Sample-Aware Data Augmentation Policy Learning
    • [cs.LG]Molecular CT: Unifying Geometry and Representation Learning for Molecules at Different Scales
    • [cs.LG]Multiple-Perspective Clustering of Passive Wi-Fi Sensing Trajectory Data
    • [cs.LG]NetReAct: Interactive Learning for Network Summarization
    • [cs.LG]Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization
    • [cs.LG]Predicting the Critical Number of Layers for Hierarchical Support Vector Regression
    • [cs.LG]Projected Stochastic Gradient Langevin Algorithms for Constrained Sampling and Non-Convex Learning
    • [cs.LG]Projection-Free Bandit Optimization with Privacy Guarantees
    • [cs.LG]QVMix and QVMix-Max: Extending the Deep Quality-Value Family of Algorithms to Cooperative Multi-Agent Reinforcement Learning
    • [cs.LG]Quantum Convolutional Neural Networks for High Energy Physics Data Analysis
    • [cs.LG]Residual Matrix Product State for Machine Learning
    • [cs.LG]Self-Imitation Advantage Learning
    • [cs.LG]Self-Progressing Robust Training
    • [cs.LG]Social NCE: Contrastive Learning of Socially-aware Motion Representations
    • [cs.LG]The COVID-19 pandemic: socioeconomic and health disparities
    • [cs.LG]This is not the Texture you are looking for! Introducing Novel Counterfactual Explanations for Non-Experts using Generative Adversarial Learning
    • [cs.LG]Time Series Domain Adaptation via Sparse Associative Structure Alignment
    • [cs.LG]To Talk or to Work: Flexible Communication Compression for Energy Efficient Federated Learning over Heterogeneous Mobile Edge Devices
    • [cs.LG]Towards an Automatic System for Extracting Planar Orientations from Software Generated Point Clouds
    • [cs.LG]Unsupervised Machine learning methods for city vitality index
    • [cs.LG]Unsupervised in-distribution anomaly detection of new physics through conditional density estimation
    • [cs.MA]Modelling Human Routines: Conceptualising Social Practice Theory for Agent-Based Simulation
    • [cs.NE]A Novel Genetic Search Scheme Based on Nature — Inspired Evolutionary Algorithms for Self-Dual Codes
    • [cs.NE]Analyzing Dominance Move (MIP-DoM) Indicator for Multi- and Many-objective Optimization
    • [cs.NE]Evolving the Behavior of Machines: From Micro to Macroevolution
    • [cs.NI]Intelligent Resource Allocation in Dense LoRa Networks using Deep Reinforcement Learning
    • [cs.RO]Combining Deep Reinforcement Learning And Local Control For The Acrobot Swing-up And Balance Task
    • [cs.RO]Emergent Hand Morphology and Control from Optimizing Robust Grasps of Diverse Objects
    • [cs.RO]Fast and Robust Localization of Surgical Array using Kalman Filter
    • [cs.RO]High-Speed Robot Navigation using Predicted Occupancy Maps
    • [cs.RO]Multi-Agent Reinforcement Learning for Dynamic Ocean Monitoring by a Swarm of Buoys
    • [cs.RO]Robotic Process Automation — A Systematic Literature Review and Assessment Framework
    • [cs.RO]Salient Bundle Adjustment for Visual SLAM
    • [cs.RO]myGym: Modular Toolkit for Visuomotor Robotic Tasks
    • [cs.SD]Adjust-free adversarial example generation in speech recognition using evolutionary multi-objective optimization under black-box condition
    • [cs.SI]Influencers and the Giant Component: the Fundamental Hardness in Privacy Protection for Socially Contagious Attributes
    • [econ.EM]On the Aggregation of Probability Assessments: Regularized Mixtures of Predictive Densities for Eurozone Inflation and Real Interest Rates
    • [eess.IV]A Feasibility study for Deep learning based automated brain tumor segmentation using Magnetic Resonance Images
    • [eess.IV]Cloud removal in remote sensing images using generative adversarial networks and SAR-to-optical image translation
    • [eess.IV]Deep learning-based virtual refocusing of images using an engineered point-spread function
    • [eess.IV]Efficient and Visualizable Convolutional Neural Networks for COVID-19 Classification Using Chest CT
    • [eess.IV]HDR Denoising and Deblurring by Learning Spatio-temporal Distortion Models
    • [eess.IV]Objective Evaluation of Deep Uncertainty Predictions for COVID-19 Detection
    • [eess.IV]Prediction of Chronic Kidney Disease Using Deep Neural Network
    • [eess.SP]Scalable Deep Reinforcement Learning for Routing and Spectrum Access in Physical Layer
    • [eess.SY]Autonomous Charging of Electric Vehicle Fleets to Enhance Renewable Generation Dispatchability
    • [eess.SY]Fundamental Limits on the Maximum Deviations in Control Systems: How Short Can Distribution Tails be Made by Feedback?
    • [hep-ph]Artificial Proto-Modelling: Building Precursors of a Next Standard Model from Simplified Model Results
    • [math.CO]An Information-Theoretic Proof of a Tight Bound on the Number of Independent Sets in Graphs
    • [math.OC]Algorithms for Solving Nonlinear Binary Optimization Problems in Robust Causal Inference
    • [math.OC]Finding Global Minima via Kernel Approximations
    • [math.OC]Iteratively Reweighted Least Squares for $\ell_1$-minimization with Global Linear Convergence Rate
    • [math.PR]Copula Measures and Sklar’s Theorem in Arbitrary Dimensions
    • [math.ST]Covariance matrix estimation under data-based loss
    • [math.ST]Estimation in nonparametric regression model with additive and multiplicative noise via Laguerre series
    • [math.ST]Identifiability of Bifactor Models
    • [math.ST]Nonparametric Bayesian inference for reversible multi-dimensional diffusions
    • [physics.chem-ph]Improving Sample and Feature Selection with Principal Covariates Regression
    • [physics.chem-ph]TorchMD: A deep learning framework for molecular simulations
    • [physics.flu-dyn]Fast Fluid Simulations in 3D with Physics-Informed Deep Learning
    • [physics.geo-ph]Learning Structures in Earth Observation Data with Gaussian Processes
    • [quant-ph]Defence against adversarial attacks using classical and quantum-enhanced Boltzmann machines
    • [stat.AP]Bayesian structural equation modeling for data from multiple cohorts
    • [stat.AP]COVID-19: Optimal Design of Serosurveys for Disease Burden Estimation
    • [stat.AP]D-optimal joint best linear unbiased prediction of order statistics
    • [stat.AP]Global Trends and Predictors of Face Mask Usage During the COVID-19 Pandemic
    • [stat.AP]Having a Ball: evaluating scoring streaks and game excitement using in-match trend estimation
    • [stat.AP]Separating and reintegrating latent variables to improve classification of genomic data
    • [stat.ME]A spectral adjustment for spatial confounding
    • [stat.ME]APIK: Active Physics-Informed Kriging Model with Partial Differential Equations
    • [stat.ME]Empirical Bayes PCA in high dimensions
    • [stat.ME]Forensic strength of evidence statements should preferably be likelihood ratios calculated using relevant data, quantitative measurements, and statistical models
    • [stat.ME]Independent Approximates enable closed-form estimation of heavy-tailed distributions
    • [stat.ME]MLE of Jointly Constrained Mean-Covariance of Multivariate Normal Distributions
    • [stat.ME]Robust Inference Using the Exponential-Polynomial Divergence
    • [stat.ML]Selective Forgetting of Deep Networks at a Finer Level than Samples
    • [stat.ML]Tight Bounds on the Smallest Eigenvalue of the Neural Tangent Kernel for Deep ReLU Networks
    • [stat.ML]Unsupervised Functional Data Analysis via Nonlinear Dimension Reduction

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    • [cond-mat.stat-mech]Neuroevolutionary learning of particles and protocols for self-assembly
    Stephen Whitelam, Isaac Tamblyn
    http://arxiv.org/abs/2012.11832v1

    • [cs.AI]A Fast Edge-Based Synchronizer for Tasks in Real-Time Artificial Intelligence Applications
    Richard Olaniyan, Muthucumaru Maheswaran
    http://arxiv.org/abs/2012.11731v1

    • [cs.AI]Are We On The Same Page? Hierarchical Explanation Generation for Planning Tasks in Human-Robot Teaming using Reinforcement Learning
    Mehrdad Zakershahrak, Samira Ghodratnama
    http://arxiv.org/abs/2012.11792v1

    • [cs.AI]BKT-LSTM: Efficient Student Modeling for knowledge tracing and student performance prediction
    Sein Minn
    http://arxiv.org/abs/2012.12218v1

    • [cs.AI]Encoding Syntactic Knowledge in Transformer Encoder for Intent Detection and Slot Filling
    Jixuan Wang, Kai Wei, Martin Radfar, Weiwei Zhang, Clement Chung
    http://arxiv.org/abs/2012.11689v1

    • [cs.AI]Exploring and Analyzing Machine Commonsense Benchmarks
    Henrique Santos, Minor Gordon, Zhicheng Liang, Gretchen Forbush, Deborah L. McGuinness
    http://arxiv.org/abs/2012.11634v1

    • [cs.AI]Generalized Relation Learning with Semantic Correlation Awareness for Link Prediction
    Yao Zhang, Xu Zhang, Jun Wang, Hongru Liang, Wenqiang Lei, Zhe Sun, Adam Jatowt, Zhenglu Yang
    http://arxiv.org/abs/2012.11957v1

    • [cs.AI]Knowledge Graphs Evolution and Preservation — A Technical Report from ISWS 2019
    Nacira Abbas, Kholoud Alghamdi, Mortaza Alinam, Francesca Alloatti, Glenda Amaral, Claudia d’Amato, Luigi Asprino, Martin Beno, Felix Bensmann, Russa Biswas, Ling Cai, Riley Capshaw, Valentina Anita Carriero, Irene Celino, Amine Dadoun, Stefano De Giorgis, Harm Delva, John Domingue, Michel Dumontier, Vincent Emonet, Marieke van Erp, Paola Espinoza Arias, Omaima Fallatah, Sebastián Ferrada, Marc Gallofré Ocaña, Michalis Georgiou, Genet Asefa Gesese, Frances Gillis-Webber, Francesca Giovannetti, Marìa Granados Buey, Ismail Harrando, Ivan Heibi, Vitor Horta, Laurine Huber, Federico Igne, Mohamad Yaser Jaradeh, Neha Keshan, Aneta Koleva, Bilal Koteich, Kabul Kurniawan, Mengya Liu, Chuangtao Ma, Lientje Maas, Martin Mansfield, Fabio Mariani, Eleonora Marzi, Sepideh Mesbah, Maheshkumar Mistry, Alba Catalina Morales Tirado, Anna Nguyen, Viet Bach Nguyen, Allard Oelen, Valentina Pasqual, Heiko Paulheim, Axel Polleres, Margherita Porena, Jan Portisch, Valentina Presutti, Kader Pustu-Iren, Ariam Rivas Mendez, Soheil Roshankish, Sebastian Rudolph, Harald Sack, Ahmad Sakor, Jaime Salas, Thomas Schleider, Meilin Shi, Gianmarco Spinaci, Chang Sun, Tabea Tietz, Molka Tounsi Dhouib, Alessandro Umbrico, Wouter van den Berg, Weiqin Xu
    http://arxiv.org/abs/2012.11936v1

    • [cs.AI]Learning to Play Imperfect-Information Games by Imitating an Oracle Planner
    Rinu Boney, Alexander Ilin, Juho Kannala, Jarno Seppänen
    http://arxiv.org/abs/2012.12186v1

    • [cs.AI]Multi-shot NAS for Discovering Adversarially Robust Convolutional Neural Architectures at Targeted Capacities
    Xuefei Ning, Junbo Zhao, Wenshuo Li, Tianchen Zhao, Huazhong Yang, Yu Wang
    http://arxiv.org/abs/2012.11835v1

    • [cs.AI]Off-Policy Optimization of Portfolio Allocation Policies under Constraints
    Nymisha Bandi, Theja Tulabandhula
    http://arxiv.org/abs/2012.11715v1

    • [cs.AI]Taking Principles Seriously: A Hybrid Approach to Value Alignment
    Tae Wan Kim, John Hooker, Thomas Donaldson
    http://arxiv.org/abs/2012.11705v1

    • [cs.AR]Reducing Solid State Drive Read Latency by Optimizing Read-Retry
    Jisung Park, Myungsuk Kim, Myoungjun Chun, Lois Orosa, Jihong Kim, Onur Mutlu
    http://arxiv.org/abs/2012.12178v1

    • [cs.AR]SIMDRAM: A Framework for Bit-Serial SIMD Processing Using DRAM
    Nastaran Hajinazar, Geraldo F. Oliveira, Sven Gregorio, João Dinis Ferreira, Nika Mansouri Ghiasi, Minesh Patel, Mohammed Alser, Saugata Ghose, Juan Gómez-Luna, Onur Mutlu
    http://arxiv.org/abs/2012.11890v1

    • [cs.CL]A Distributional Approach to Controlled Text Generation
    Muhammad Khalifa, Hady Elsahar, Marc Dymetman
    http://arxiv.org/abs/2012.11635v1

    • [cs.CL]A Hierarchical Reasoning Graph Neural Network for The Automatic Scoring of Answer Transcriptions in Video Job Interviews
    Kai Chen, Meng Niu, Qingcai Chen
    http://arxiv.org/abs/2012.11960v1

    • [cs.CL]Acronym Identification and Disambiguation shared tasksfor Scientific Document Understanding
    Amir Pouran Ben Veyseh, Franck Dernoncourt, Thien Huu Nguyen, Walter Chang, Leo Anthony Celi
    http://arxiv.org/abs/2012.11760v1

    • [cs.CL]Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition
    Yubei Xiao, Ke Gong, Pan Zhou, Guolin Zheng, Xiaodan Liang, Liang Lin
    http://arxiv.org/abs/2012.11896v1

    • [cs.CL]Applying wav2vec2.0 to Speech Recognition in various low-resource languages
    Cheng Yi, Jianzhong Wang, Ning Cheng, Shiyu Zhou, Bo Xu
    http://arxiv.org/abs/2012.12121v1

    • [cs.CL]BERTChem-DDI : Improved Drug-Drug Interaction Prediction from text using Chemical Structure Information
    Ishani Mondal
    http://arxiv.org/abs/2012.11599v1

    • [cs.CL]Domain Adaptation of NMT models for English-Hindi Machine Translation Task at AdapMT ICON 2020
    Ramchandra Joshi, Rushabh Karnavat, Kaustubh Jirapure, Raviraj Joshi
    http://arxiv.org/abs/2012.12112v1

    • [cs.CL]Few-Shot Text Generation with Pattern-Exploiting Training
    Timo Schick, Hinrich Schütze
    http://arxiv.org/abs/2012.11926v1

    • [cs.CL]Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation
    Shuai Lin, Pan Zhou, Xiaodan Liang, Jianheng Tang, Ruihui Zhao, Ziliang Chen, Liang Lin
    http://arxiv.org/abs/2012.11988v1

    • [cs.CL]Improved Biomedical Word Embeddings in the Transformer Era
    jiho Noh, Ramakanth Kavuluru
    http://arxiv.org/abs/2012.11808v1

    • [cs.CL]Learning to Retrieve Entity-Aware Knowledge and Generate Responses with Copy Mechanism for Task-Oriented Dialogue Systems
    Chao-Hong Tan, Xiaoyu Yang, Zi’ou Zheng, Tianda Li, Yufei Feng, Jia-Chen Gu, Quan Liu, Dan Liu, Zhen-Hua Ling, Xiaodan Zhu
    http://arxiv.org/abs/2012.11937v1

    • [cs.CL]Pre-Training a Language Model Without Human Language
    Cheng-Han Chiang, Hung-yi Lee
    http://arxiv.org/abs/2012.11995v1

    • [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/2012.11820v1

    • [cs.CL]SChuBERT: Scholarly Document Chunks with BERT-encoding boost Citation Count Prediction
    Thomas van Dongen, Gideon Maillette de Buy Wenniger, Lambert Schomaker
    http://arxiv.org/abs/2012.11740v1

    • [cs.CL]Semi-Supervised Disentangled Framework for Transferable Named Entity Recognition
    Zhifeng Hao, Di Lv, Zijian Li, Ruichu Cai, Wen Wen, Boyan Xu
    http://arxiv.org/abs/2012.11805v1

    • [cs.CL]Subword Sampling for Low Resource Word Alignment
    Ehsaneddin Asgari, Masoud Jalili Sabet, Philipp Dufter, Christopher Ringlstetter, Hinrich Schütze
    http://arxiv.org/abs/2012.11657v1

    • [cs.CL]Uncertainty and Surprisal Jointly Deliver the Punchline: Exploiting Incongruity-Based Features for Humor Recognition
    Yubo Xie, Junze Li, Pearl Pu
    http://arxiv.org/abs/2012.12007v1

    • [cs.CL]Undivided Attention: Are Intermediate Layers Necessary for BERT?
    Sharath Nittur Sridhar, Anthony Sarah
    http://arxiv.org/abs/2012.11881v1

    • [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/2012.11967v1

    • [cs.CR]A Vulnerability Study on Academic Collaboration Networks Based on Network Dynamics
    Asier Gutiérrez-Fandiño, Jordi Armengol-Estapé, Marta Villegas
    http://arxiv.org/abs/2012.11699v1

    • [cs.CR]Information Leakage Games: Exploring Information as a Utility Function
    Mário S. Alvim, Konstantinos Chatzikokolakis, Yusuke Kawamoto, Catuscia Palamidessi
    http://arxiv.org/abs/2012.12060v1

    • [cs.CV]3D Point-to-Keypoint Voting Network for 6D Pose Estimation
    Weitong Hua, Jiaxin Guo, Yue Wang, Rong Xiong
    http://arxiv.org/abs/2012.11938v1

    • [cs.CV]A Hybrid VDV Model for Automatic Diagnosis of Pneumothorax using Class-Imbalanced Chest X-rays Dataset
    Tahira Iqbal, Arslan Shaukat, Usman Akram, Zartasha Mustansar, Yung-Cheol Byun
    http://arxiv.org/abs/2012.11911v1

    • [cs.CV]Adversarial Multiscale Feature Learning for Overlapping Chromosome Segmentation
    Liye Mei, Yalan Yu, Yueyun Weng, Xiaopeng Guo, Yan Liu, Du Wang, Sheng Liu, Fuling Zhou, Cheng Lei
    http://arxiv.org/abs/2012.11847v1

    • [cs.CV]Alleviating Noisy Data in Image Captioning with Cooperative Distillation
    Pierre Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff
    http://arxiv.org/abs/2012.11691v1

    • [cs.CV]Contraband Materials Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery
    Qian Wang, Toby P. Breckon
    http://arxiv.org/abs/2012.11753v1

    • [cs.CV]Convolutional Recurrent Network for Road Boundary Extraction
    Justin Liang, Namdar Homayounfar, Wei-Chiu Ma, Shenlong Wang, Raquel Urtasun
    http://arxiv.org/abs/2012.12160v1

    • [cs.CV]Do We Really Need Scene-specific Pose Encoders?
    Yoli Shavit, Ron Ferens
    http://arxiv.org/abs/2012.12014v1

    • [cs.CV]FcaNet: Frequency Channel Attention Networks
    Zequn Qin, Pengyi Zhang, Fei Wu, Xi Li
    http://arxiv.org/abs/2012.11879v1

    • [cs.CV]Geometric robust descriptor for 3D point cloud
    Seung Hwan Jung, Yeong-Gil Shin, Minyoung Chung
    http://arxiv.org/abs/2012.12215v1

    • [cs.CV]Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos
    Yu Cheng, Bo Wang, Bo Yang, Robby T. Tan
    http://arxiv.org/abs/2012.11806v1

    • [cs.CV]GuidedStyle: Attribute Knowledge Guided Style Manipulation for Semantic Face Editing
    Xianxu Hou, Xiaokang Zhang, Linlin Shen, Zhihui Lai, Jun Wan
    http://arxiv.org/abs/2012.11856v1

    • [cs.CV]HDNET: Exploiting HD Maps for 3D Object Detection
    Bin Yang, Ming Liang, Raquel Urtasun
    http://arxiv.org/abs/2012.11704v1

    • [cs.CV]Human Action Recognition from Various Data Modalities: A Review
    Zehua Sun, Jun Liu, Qiuhong Ke, Hossein Rahmani
    http://arxiv.org/abs/2012.11866v1

    • [cs.CV]Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge
    Pierre Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young, Brian Belgodere
    http://arxiv.org/abs/2012.11696v1

    • [cs.CV]Image to Bengali Caption Generation Using Deep CNN and Bidirectional Gated Recurrent Unit
    Al Momin Faruk, Hasan Al Faraby, Md. Muzahidul Azad, Md. Riduyan Fedous, Md. Kishor Morol
    http://arxiv.org/abs/2012.12139v1

    • [cs.CV]Latent Feature Representation via Unsupervised Learning for Pattern Discovery in Massive Electron Microscopy Image Volumes
    Gary B Huang, Huei-Fang Yang, Shin-ya Takemura, Pat Rivlin, Stephen M Plaza
    http://arxiv.org/abs/2012.12175v1

    • [cs.CV]Learning Disentangled Semantic Representation for Domain Adaptation
    Ruichu Cai, Zijian Li, Pengfei Wei, Jie Qiao, Kun Zhang, Zhifeng Hao
    http://arxiv.org/abs/2012.11807v1

    • [cs.CV]Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object Segmentation
    Hyojin Park, Jayeon Yoo, Seohyeong Jeong, Ganesh Venkatesh, Nojun Kwak
    http://arxiv.org/abs/2012.11655v1

    • [cs.CV]Limitation of Acyclic Oriented Graphs Matching as Cell Tracking Accuracy Measure when Evaluating Mitosis
    Ye Chen, Yuankai Huo
    http://arxiv.org/abs/2012.12084v1

    • [cs.CV]Modeling Deep Learning Based Privacy Attacks on Physical Mail
    Bingyao Huang, Ruyi Lian, Dimitris Samaras, Haibin Ling
    http://arxiv.org/abs/2012.11803v1

    • [cs.CV]Multiple Instance Segmentation in Brachial Plexus Ultrasound Image Using BPMSegNet
    Yi Ding, Qiqi Yang, Guozheng Wu, Jian Zhang, Zhiguang Qin
    http://arxiv.org/abs/2012.12012v1

    • [cs.CV]Natural vs Balanced Distribution in Deep Learning on Whole Slide Images for Cancer Detection
    Ismat Ara Reshma, Sylvain Cussat-Blanc, Radu Tudor Ionescu, Hervé Luga, Josiane Mothe
    http://arxiv.org/abs/2012.11684v1

    • [cs.CV]Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Deforming Scene from Monocular Video
    Edgar Tretschk, Ayush Tewari, Vladislav Golyanik, Michael Zollhöfer, Christoph Lassner, Christian Theobalt
    http://arxiv.org/abs/2012.12247v1

    • [cs.CV]Power-SLIC: Diagram-based superpixel generation
    Maximilian Fiedler, Andreas Alpers
    http://arxiv.org/abs/2012.11772v1

    • [cs.CV]Predicting Online Video Advertising Effects with Multimodal Deep Learning
    Jun Ikeda, Hiroyuki Seshime, Xueting Wang, Toshihiko Yamasaki
    http://arxiv.org/abs/2012.11851v1

    • [cs.CV]Progressive One-shot Human Parsing
    Haoyu He, Jing Zhang, Bhavani Thuraisingham, Dacheng Tao
    http://arxiv.org/abs/2012.11810v1

    • [cs.CV]SERV-CT: A disparity dataset from CT for validation of endoscopic 3D reconstruction
    P. J. “Eddie’’ Edwards, Dimitris Psychogyios, Stefanie Speidel, Lena Maier-Hein, Danail Stoyanov
    http://arxiv.org/abs/2012.11779v1

    • [cs.CV]Subject-independent Human Pose Image Construction with Commodity Wi-Fi
    Shuang Zhou, Lingchao Guo, Zhaoming Lu, Xiangming Wen, Wei Zheng, Yiming Wang
    http://arxiv.org/abs/2012.11812v1

    • [cs.CV]Time-Travel Rephotography
    Xuan Luo, Xuaner Zhang, Paul Yoo, Ricardo Martin-Brualla, Jason Lawrence, Steven M. Seitz
    http://arxiv.org/abs/2012.12261v1

    • [cs.CV]Training Convolutional Neural Networks With Hebbian Principal Component Analysis
    Gabriele Lagani, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro
    http://arxiv.org/abs/2012.12229v1

    • [cs.CV]Training DNNs in O(1) memory with MEM-DFA using Random Matrices
    Tien Chu, Kamil Mykitiuk, Miron Szewczyk, Adam Wiktor, Zbigniew Wojna
    http://arxiv.org/abs/2012.11745v1

    • [cs.CV]Unadversarial Examples: Designing Objects for Robust Vision
    Hadi Salman, Andrew Ilyas, Logan Engstrom, Sai Vemprala, Aleksander Madry, Ashish Kapoor
    http://arxiv.org/abs/2012.12235v1

    • [cs.CV]Underwater image filtering: methods, datasets and evaluation
    Chau Yi Li, Riccardo Mazzon, Andrea Cavallaro
    http://arxiv.org/abs/2012.12258v1

    • [cs.CV]YolactEdge: Real-time Instance Segmentation on the Edge (Jetson AGX Xavier: 30 FPS, RTX 2080 Ti: 170 FPS)
    Haotian Liu, Rafael A. Rivera Soto, Fanyi Xiao, Yong Jae Lee
    http://arxiv.org/abs/2012.12259v1

    • [cs.CY]Data Combination for Problem-solving: A Case of an Open Data Exchange Platform
    Teruaki Hayashi, Hiroki Sakaji, Hiroyasu Matsushima, Yoshiaki Fukami, Takumi Shimizu, Yukio Ohsawa
    http://arxiv.org/abs/2012.11746v1

    • [cs.CY]Facebook Ad Engagement in the Russian Active Measures Campaign of 2016
    Mirela Silva, Luiz Giovanini, Juliana Fernandes, Daniela Oliveira, Catia S. Silva
    http://arxiv.org/abs/2012.11690v1

    • [cs.DB]SARS-CoV-2 Coronavirus Data Compression Benchmark
    Innar Liiv
    http://arxiv.org/abs/2012.12013v1

    • [cs.DC]Scheduling Coflows with Dependency Graph
    Mehrnoosh Shafiee, Javad Ghaderi
    http://arxiv.org/abs/2012.11702v1

    • [cs.HC]Trust in robot-mediated health information
    David Cameron, Marina Sarda Gou, Laura Sbaffi
    http://arxiv.org/abs/2012.12002v1

    • [cs.IR]Event-Driven Query Expansion
    Guy D. Rosin, Ido Guy, Kira Radinsky
    http://arxiv.org/abs/2012.12065v1

    • [cs.IR]Intelligent Vector-based Customer Segmentation in the Banking Industry
    Salman Mousaeirad
    http://arxiv.org/abs/2012.11876v1

    • [cs.IR]Neural Methods for Effective, Efficient, and Exposure-Aware Information Retrieval
    Bhaskar Mitra
    http://arxiv.org/abs/2012.11685v1

    • [cs.IR]Personalized Adaptive Meta Learning for Cold-start User Preference Prediction
    Runsheng Yu, Yu Gong, Xu He, Bo An, Yu Zhu, Qingwen Liu, Wenwu Ou
    http://arxiv.org/abs/2012.11842v1

    • [cs.IT]A generalization of Costa’s Entropy Power Inequality
    Luca Tamanini
    http://arxiv.org/abs/2012.12230v1

    • [cs.IT]A generalization of the construction of quantum codes from Hermitian self-orthogonal codes
    Carlos Galindo, Fernando Hernando
    http://arxiv.org/abs/2012.11998v1

    • [cs.IT]Optimum Reconfigurable Intelligent Surface Selection for Indoor and Outdoor Communications
    Yuting Fang, Saman Atapattu, Hazer Inaltekin, Jamie Evans
    http://arxiv.org/abs/2012.11793v1

    • [cs.IT]Ordinary Differential Equation-based CNN for Channel Extrapolation over RIS-assisted Communication
    Meng Xu, Shun Zhang, Caijun Zhong, Jianpeng Ma, Octavia A. Dobre
    http://arxiv.org/abs/2012.11794v1

    • [cs.IT]Timely Monitoring of Dynamic Sources with Observations from Multiple Wireless Sensors
    Anders E. Kalør, Petar Popovski
    http://arxiv.org/abs/2012.12179v1

    • [cs.LG]A Second-Order Approach to Learning with Instance-Dependent Label Noise
    Zhaowei Zhu, Tongliang Liu, Yang Liu
    http://arxiv.org/abs/2012.11854v1

    • [cs.LG]A Survey of Methods for Managing the Classification and Solution of Data Imbalance Problem
    Khan Md. Hasib, Md. Sadiq Iqbal, Faisal Muhammad Shah, Jubayer Al Mahmud, Mahmudul Hasan Popel, Md. Imran Hossain Showrov, Shakil Ahmed, Obaidur Rahman
    http://arxiv.org/abs/2012.11870v1

    • [cs.LG]Autonomous sPOMDP Environment Modeling With Partial Model Exploitation
    Andrew Wilhelm, Aaron Wilhelm, Garrett Fosdick
    http://arxiv.org/abs/2012.12203v1

    • [cs.LG]Bounding the Complexity of Formally Verifying Neural Networks: A Geometric Approach
    James Ferlez, Yasser Shoukry
    http://arxiv.org/abs/2012.11761v1

    • [cs.LG]C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak
    Congxi Xiao, Jingbo Zhou, Jizhou Huang, An Zhuo, Ji Liu, Haoyi Xiong, Dejing Dou
    http://arxiv.org/abs/2012.12169v1

    • [cs.LG]Can I Still Trust You?: Understanding the Impact of Distribution Shifts on Algorithmic Recourses
    Kaivalya Rawal, Ece Kamar, Himabindu Lakkaraju
    http://arxiv.org/abs/2012.11788v1

    • [cs.LG]Cost-sensitive Semi-supervised Classification for Fraud Applications
    Sulaf Elshaar, Samira Sadaoui
    http://arxiv.org/abs/2012.11743v1

    • [cs.LG]Cross-Domain Latent Modulation for Variational Transfer Learning
    Jinyong Hou, Jeremiah D. Deng, Stephen Cranefield, Xuejie Ding
    http://arxiv.org/abs/2012.11727v1

    • [cs.LG]Data Assimilation in the Latent Space of a Neural Network
    Maddalena Amendola, Rossella Arcucci, Laetitia Mottet, Cesar Quilodran Casas, Shiwei Fan, Christopher Pain, Paul Linden, Yi-Ke Guo
    http://arxiv.org/abs/2012.12056v1

    • [cs.LG]Deep Multi-attribute Graph Representation Learning on Protein Structures
    Tian Xia, Wei-Shinn Ku
    http://arxiv.org/abs/2012.11762v1

    • [cs.LG]Differentially Private Synthetic Medical Data Generation using Convolutional GANs
    Amirsina Torfi, Edward A. Fox, Chandan K. Reddy
    http://arxiv.org/abs/2012.11774v1

    • [cs.LG]Dual-encoder Bidirectional Generative Adversarial Networks for Anomaly Detection
    Teguh Budianto, Tomohiro Nakai, Kazunori Imoto, Takahiro Takimoto, Kosuke Haruki
    http://arxiv.org/abs/2012.11834v1

    • [cs.LG]Dynamic penalty function approach for constraints handling in reinforcement learning
    Haeun Yoo, Victor M. Zavala, Jay H. Lee
    http://arxiv.org/abs/2012.11790v1

    • [cs.LG]Explicitly Encouraging Low Fractional Dimensional Trajectories Via Reinforcement Learning
    Sean Gillen, Katie Byl
    http://arxiv.org/abs/2012.11662v1

    • [cs.LG]Fast Physical Activity Suggestions: Efficient Hyperparameter Learning in Mobile Health
    Marianne Menictas, Sabina Tomkins, Susan Murphy
    http://arxiv.org/abs/2012.11646v1

    • [cs.LG]Fast and Accurate $k$-means++ via Rejection Sampling
    Vincent Cohen-Addad, Silvio Lattanzi, Ashkan Norouzi-Fard, Christian Sohler, Ola Svensson
    http://arxiv.org/abs/2012.11891v1

    • [cs.LG]FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations
    Yichi Zhang, Junhao Pan, Xinheng Liu, Hongzheng Chen, Deming Chen, Zhiru Zhang
    http://arxiv.org/abs/2012.12206v1

    • [cs.LG]Gaussian Process Regression constrained by Boundary Value Problems
    Mamikon Gulian, Ari Frankel, Laura Swiler
    http://arxiv.org/abs/2012.11857v1

    • [cs.LG]Graph Autoencoders with Deconvolutional Networks
    Jia Li, Tomas Yu, Da-Cheng Juan, Arjun Gopalan, Hong Cheng, Andrew Tomkins
    http://arxiv.org/abs/2012.11898v1

    • [cs.LG]Informer: Transformer Likes Informed Attention
    Ruining He, Anirudh Ravula, Bhargav Kanagal, Joshua Ainslie
    http://arxiv.org/abs/2012.11747v1

    • [cs.LG]Interpreting Deep Learning Models for Epileptic Seizure Detection on EEG signals
    Valentin Gabeff, Tomas Teijeiro, Marina Zapater, Leila Cammoun, Sylvain Rheims, Philippe Ryvlin, David Atienza
    http://arxiv.org/abs/2012.11933v1

    • [cs.LG]Learning to Initialize Gradient Descent Using Gradient Descent
    Kartik Ahuja, Amit Dhurandhar, Kush R. Varshney
    http://arxiv.org/abs/2012.12141v1

    • [cs.LG]MailLeak: Obfuscation-Robust Character Extraction Using Transfer Learning
    Wei Wang, Emily Sallenback, Zeyu Ning, Hugues Nelson Iradukunda, Wenxi Lu, Qingquan Zhang, Ting Zhu
    http://arxiv.org/abs/2012.11775v1

    • [cs.LG]MetaAugment: Sample-Aware Data Augmentation Policy Learning
    Fengwei Zhou, Jiawei Li, Chuanlong Xie, Fei Chen, Lanqing Hong, Rui Sun, Zhenguo Li
    http://arxiv.org/abs/2012.12076v1

    • [cs.LG]Molecular CT: Unifying Geometry and Representation Learning for Molecules at Different Scales
    Jun Zhang, Yaqiang Zhou, Yao-Kun Lei, Yi Isaac Yang, Yi Qin Gao
    http://arxiv.org/abs/2012.11816v1

    • [cs.LG]Multiple-Perspective Clustering of Passive Wi-Fi Sensing Trajectory Data
    Zann Koh, Yuren Zhou, Billy Pik Lik Lau, Chau Yuen, Bige Tuncer, Keng Hua Chong
    http://arxiv.org/abs/2012.11796v1

    • [cs.LG]NetReAct: Interactive Learning for Network Summarization
    Sorour E. Amiri, Bijaya Adhikari, John Wenskovitch, Alexander Rodriguez, Michelle Dowling, Chris North, B. Aditya Prakash
    http://arxiv.org/abs/2012.11821v1

    • [cs.LG]Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization
    Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike, Kento Uemura, Hiroki Arimura
    http://arxiv.org/abs/2012.11782v1

    • [cs.LG]Predicting the Critical Number of Layers for Hierarchical Support Vector Regression
    Ryan Mohr, Maria Fonoberova, Zlatko Drmač, Iva Manojlović, Igor Mezić
    http://arxiv.org/abs/2012.11734v1

    • [cs.LG]Projected Stochastic Gradient Langevin Algorithms for Constrained Sampling and Non-Convex Learning
    Andrew Lamperski
    http://arxiv.org/abs/2012.12137v1

    • [cs.LG]Projection-Free Bandit Optimization with Privacy Guarantees
    Alina Ene, Huy L. Nguyen, Adrian Vladu
    http://arxiv.org/abs/2012.12138v1

    • [cs.LG]QVMix and QVMix-Max: Extending the Deep Quality-Value Family of Algorithms to Cooperative Multi-Agent Reinforcement Learning
    Pascal Leroy, Damien Ernst, Pierre Geurts, Gilles Louppe, Jonathan Pisane, Matthia Sabatelli
    http://arxiv.org/abs/2012.12062v1

    • [cs.LG]Quantum Convolutional Neural Networks for High Energy Physics Data Analysis
    Samuel Yen-Chi Chen, Tzu-Chieh Wei, Chao Zhang, Haiwang Yu, Shinjae Yoo
    http://arxiv.org/abs/2012.12177v1

    • [cs.LG]Residual Matrix Product State for Machine Learning
    Ye-Ming Meng, Jing Zhang, Peng Zhang, Chao Gao, Shi-Ju Ran
    http://arxiv.org/abs/2012.11841v1

    • [cs.LG]Self-Imitation Advantage Learning
    Johan Ferret, Olivier Pietquin, Matthieu Geist
    http://arxiv.org/abs/2012.11989v1

    • [cs.LG]Self-Progressing Robust Training
    Minhao Cheng, Pin-Yu Chen, Sijia Liu, Shiyu Chang, Cho-Jui Hsieh, Payel Das
    http://arxiv.org/abs/2012.11769v1

    • [cs.LG]Social NCE: Contrastive Learning of Socially-aware Motion Representations
    Yuejiang Liu, Qi Yan, Alexandre Alahi
    http://arxiv.org/abs/2012.11717v1

    • [cs.LG]The COVID-19 pandemic: socioeconomic and health disparities
    Behzad Javaheri
    http://arxiv.org/abs/2012.11399v2

    • [cs.LG]This is not the Texture you are looking for! Introducing Novel Counterfactual Explanations for Non-Experts using Generative Adversarial Learning
    Silvan Mertes, Tobias Huber, Katharina Weitz, Alexander Heimerl, Elisabeth André
    http://arxiv.org/abs/2012.11905v1

    • [cs.LG]Time Series Domain Adaptation via Sparse Associative Structure Alignment
    Ruichu Cai, Jiawei Chen, Zijian Li, Wei Chen, Keli Zhang, Junjian Ye, Zhuozhang Li, Xiaoyan Yang, Zhenjie Zhang
    http://arxiv.org/abs/2012.11797v1

    • [cs.LG]To Talk or to Work: Flexible Communication Compression for Energy Efficient Federated Learning over Heterogeneous Mobile Edge Devices
    Liang Li, Dian Shi, Ronghui Hou, Hui Li, Miao Pan, Zhu Han
    http://arxiv.org/abs/2012.11804v1

    • [cs.LG]Towards an Automatic System for Extracting Planar Orientations from Software Generated Point Clouds
    J. Kissi-Ameyaw, K. McIsaac, X. Wang, G. R. Osinski
    http://arxiv.org/abs/2012.11780v1

    • [cs.LG]Unsupervised Machine learning methods for city vitality index
    Jean-Sébastien Dessureault, Jonathan Simard, Daniel Massicotte
    http://arxiv.org/abs/2012.12082v1

    • [cs.LG]Unsupervised in-distribution anomaly detection of new physics through conditional density estimation
    George Stein, Uros Seljak, Biwei Dai
    http://arxiv.org/abs/2012.11638v1

    • [cs.MA]Modelling Human Routines: Conceptualising Social Practice Theory for Agent-Based Simulation
    Rijk Mercuur, Virginia Dignum, Catholijn M. Jonker
    http://arxiv.org/abs/2012.11903v1

    • [cs.NE]A Novel Genetic Search Scheme Based on Nature — Inspired Evolutionary Algorithms for Self-Dual Codes
    Adrian Korban, Serap Sahinkaya, Deniz Ustun
    http://arxiv.org/abs/2012.12248v1

    • [cs.NE]Analyzing Dominance Move (MIP-DoM) Indicator for Multi- and Many-objective Optimization
    Claudio Lucio do Val Lopes, Flávio Vinícius Cruzeiro Martins, Elizabeth Fialho Wanner, Kalyanmoy Deb
    http://arxiv.org/abs/2012.11557v2

    • [cs.NE]Evolving the Behavior of Machines: From Micro to Macroevolution
    Jean-Baptiste Mouret
    http://arxiv.org/abs/2012.11692v1

    • [cs.NI]Intelligent Resource Allocation in Dense LoRa Networks using Deep Reinforcement Learning
    Inaam Ilahi, Muhammad Usama, Muhammad Omer Farooq, Muhammad Umar Janjua, Junaid Qadir
    http://arxiv.org/abs/2012.11867v1

    • [cs.RO]Combining Deep Reinforcement Learning And Local Control For The Acrobot Swing-up And Balance Task
    Sean Gillen, Marco Molnar, Katie Byl
    http://arxiv.org/abs/2012.11663v1

    • [cs.RO]Emergent Hand Morphology and Control from Optimizing Robust Grasps of Diverse Objects
    Xinlei Pan, Animesh Garg, Animashree Anandkumar, Yuke Zhu
    http://arxiv.org/abs/2012.12209v1

    • [cs.RO]Fast and Robust Localization of Surgical Array using Kalman Filter
    Md Ashikuzzaman, Noushin Jafarpisheh, Sunil Rottoo, Pierre Brisson, Hassan Rivaz
    http://arxiv.org/abs/2012.11819v1

    • [cs.RO]High-Speed Robot Navigation using Predicted Occupancy Maps
    Kapil D. Katyal, Adam Polevoy, Joseph Moore, Craig Knuth, Katie M. Popek
    http://arxiv.org/abs/2012.12142v1

    • [cs.RO]Multi-Agent Reinforcement Learning for Dynamic Ocean Monitoring by a Swarm of Buoys
    Maryam Kouzehgar, Malika Meghjani, Roland Bouffanais
    http://arxiv.org/abs/2012.11641v1

    • [cs.RO]Robotic Process Automation — A Systematic Literature Review and Assessment Framework
    Judith Wewerka, Manfred Reichert
    http://arxiv.org/abs/2012.11951v1

    • [cs.RO]Salient Bundle Adjustment for Visual SLAM
    Ke Wang, Sai Ma, Junlan Chen, Jianbo Lu
    http://arxiv.org/abs/2012.11863v1

    • [cs.RO]myGym: Modular Toolkit for Visuomotor Robotic Tasks
    Michal Vavrecka, Nikita Sokovnin, Megi Mejdrechova, Gabriela Sejnova, Marek Otahal
    http://arxiv.org/abs/2012.11643v1

    • [cs.SD]Adjust-free adversarial example generation in speech recognition using evolutionary multi-objective optimization under black-box condition
    Shoma Ishida, Satoshi Ono
    http://arxiv.org/abs/2012.11138v2

    • [cs.SI]Influencers and the Giant Component: the Fundamental Hardness in Privacy Protection for Socially Contagious Attributes
    Aria Rezaei, Jie Gao, Anand D. Sarwate
    http://arxiv.org/abs/2012.11877v1

    • [econ.EM]On the Aggregation of Probability Assessments: Regularized Mixtures of Predictive Densities for Eurozone Inflation and Real Interest Rates
    Francis X. Diebold, Minchul Shin, Boyuan Zhang
    http://arxiv.org/abs/2012.11649v1

    • [eess.IV]A Feasibility study for Deep learning based automated brain tumor segmentation using Magnetic Resonance Images
    Shanaka Ramesh Gunasekara, HNTK Kaldera, Maheshi B. Dissanayake
    http://arxiv.org/abs/2012.11952v1

    • [eess.IV]Cloud removal in remote sensing images using generative adversarial networks and SAR-to-optical image translation
    Faramarz Naderi Darbaghshahi, Mohammad Reza Mohammadi, Mohsen Soryani
    http://arxiv.org/abs/2012.12180v1

    • [eess.IV]Deep learning-based virtual refocusing of images using an engineered point-spread function
    Xilin Yang, Luzhe Huang, Yilin Luo, Yichen Wu, Hongda Wang, Yair Rivenson, Aydogan Ozcan
    http://arxiv.org/abs/2012.11892v1

    • [eess.IV]Efficient and Visualizable Convolutional Neural Networks for COVID-19 Classification Using Chest CT
    Aksh Garg, Sana Salehi, Marianna La Rocca, Rachael Garner, Dominique Duncan
    http://arxiv.org/abs/2012.11860v1

    • [eess.IV]HDR Denoising and Deblurring by Learning Spatio-temporal Distortion Models
    Uğur Çoğalan, Mojtaba Bemana, Karol Myszkowski, Hans-Peter Seidel, Tobias Ritschel
    http://arxiv.org/abs/2012.12009v1

    • [eess.IV]Objective Evaluation of Deep Uncertainty Predictions for COVID-19 Detection
    Hamzeh Asgharnezhad, Afshar Shamsi, Roohallah Alizadehsani, Abbas Khosravi, Saeid Nahavandi, Zahra Alizadeh Sani, Dipti Srinivasan
    http://arxiv.org/abs/2012.11840v1

    • [eess.IV]Prediction of Chronic Kidney Disease Using Deep Neural Network
    Iliyas Ibrahim Iliyas, Isah Rambo Saidu, Ali Baba Dauda, Suleiman Tasiu
    http://arxiv.org/abs/2012.12089v1

    • [eess.SP]Scalable Deep Reinforcement Learning for Routing and Spectrum Access in Physical Layer
    Wei Cui, Wei Yu
    http://arxiv.org/abs/2012.11783v1

    • [eess.SY]Autonomous Charging of Electric Vehicle Fleets to Enhance Renewable Generation Dispatchability
    Reza Bayani, Saeed D. Manshadi, Guangyi Liu, Yawei Wang, Renchang Dai
    http://arxiv.org/abs/2012.12257v1

    • [eess.SY]Fundamental Limits on the Maximum Deviations in Control Systems: How Short Can Distribution Tails be Made by Feedback?
    Song Fang, Quanyan Zhu
    http://arxiv.org/abs/2012.12174v1

    • [hep-ph]Artificial Proto-Modelling: Building Precursors of a Next Standard Model from Simplified Model Results
    Wolfgang Waltenberger, André Lessa, Sabine Kraml
    http://arxiv.org/abs/2012.12246v1

    • [math.CO]An Information-Theoretic Proof of a Tight Bound on the Number of Independent Sets in Graphs
    Igal Sason
    http://arxiv.org/abs/2012.12107v1

    • [math.OC]Algorithms for Solving Nonlinear Binary Optimization Problems in Robust Causal Inference
    Md Saiful Islam, Md Sarowar Morshed, Md. Noor-E-Alam
    http://arxiv.org/abs/2012.12130v1

    • [math.OC]Finding Global Minima via Kernel Approximations
    Alessandro Rudi, Ulysse Marteau-Ferey, Francis Bach
    http://arxiv.org/abs/2012.11978v1

    • [math.OC]Iteratively Reweighted Least Squares for $\ell_1$-minimization with Global Linear Convergence Rate
    Christian Kümmerle, Claudio Mayrink Verdun, Dominik Stöger
    http://arxiv.org/abs/2012.12250v1

    • [math.PR]Copula Measures and Sklar’s Theorem in Arbitrary Dimensions
    Fred Espen Benth, Giulia Di Nunno, Dennis Schroers
    http://arxiv.org/abs/2012.11530v2

    • [math.ST]Covariance matrix estimation under data-based loss
    Anis M. Haddouche, Dominique Fourdrinier, Fatiha Mezoued
    http://arxiv.org/abs/2012.11920v1

    • [math.ST]Estimation in nonparametric regression model with additive and multiplicative noise via Laguerre series
    Rida Benhaddou
    http://arxiv.org/abs/2012.11809v1

    • [math.ST]Identifiability of Bifactor Models
    Guanhua Fang, Xin Xu, Jinxin Guo, Zhiliang Ying, Susu Zhang
    http://arxiv.org/abs/2012.12196v1

    • [math.ST]Nonparametric Bayesian inference for reversible multi-dimensional diffusions
    Matteo Giordano, Kolyan Ray
    http://arxiv.org/abs/2012.12083v1

    • [physics.chem-ph]Improving Sample and Feature Selection with Principal Covariates Regression
    Rose K. Cersonsky, Benjamin A. Helfrecht, Edgar A. Engel, Michele Ceriotti
    http://arxiv.org/abs/2012.12253v1

    • [physics.chem-ph]TorchMD: A deep learning framework for molecular simulations
    Stefan Doerr, Maciej Majewsk, Adrià Pérez, Andreas Krämer, Cecilia Clementi, Frank Noe, Toni Giorgino, Gianni De Fabritiis
    http://arxiv.org/abs/2012.12106v1

    • [physics.flu-dyn]Fast Fluid Simulations in 3D with Physics-Informed Deep Learning
    Nils Wandel, Michael Weinmann, Reinhard Klein
    http://arxiv.org/abs/2012.11893v1

    • [physics.geo-ph]Learning Structures in Earth Observation Data with Gaussian Processes
    Fernando Mateo, Jordi Munoz-Mari, Valero Laparra, Jochem Verrelst, Gustau Camps-Valls
    http://arxiv.org/abs/2012.11922v1

    • [quant-ph]Defence against adversarial attacks using classical and quantum-enhanced Boltzmann machines
    Aidan Kehoe, Peter Wittek, Yanbo Xue, Alejandro Pozas-Kerstjens
    http://arxiv.org/abs/2012.11619v1

    • [stat.AP]Bayesian structural equation modeling for data from multiple cohorts
    Khue-Dung Dang, Louise M. Ryan, Tugba Akkaya-Hocagil, Richard J. Cook, Gale A. Richardson, Nancy L. Day, Claire D. Coles, Heather Carmichael Olson, Sandra W. Jacobson, Joseph L. Jacobson
    http://arxiv.org/abs/2012.12085v1

    • [stat.AP]COVID-19: Optimal Design of Serosurveys for Disease Burden Estimation
    Siva Athreya, Giridhara R. Babu, Aniruddha Iyer, Mohammed Minhaas B. S., Nihesh Rathod, Sharad Shriram, Rajesh Sundaresan, Nidhin Koshy Vaidhiyan, Sarath Yasodharan
    http://arxiv.org/abs/2012.12135v1

    • [stat.AP]D-optimal joint best linear unbiased prediction of order statistics
    Narayanaswamy Balakrishnan, Ritwik Bhattacharya
    http://arxiv.org/abs/2012.11836v1

    • [stat.AP]Global Trends and Predictors of Face Mask Usage During the COVID-19 Pandemic
    Elena Badillo-Goicoechea, Ting-Hsuan Chang, Esther Kim, Sarah LaRocca, Katherine Morris, Xiaoyi Deng, Samantha Chiu, Adrianne Bradford, Andres Garcia, Christoph Kern, Curtiss Cobb, Frauke Kreuter, Elizabeth A. Stuart
    http://arxiv.org/abs/2012.11678v1

    • [stat.AP]Having a Ball: evaluating scoring streaks and game excitement using in-match trend estimation
    Claus Thorn Ekstrøm, Andreas Kryger Jensen
    http://arxiv.org/abs/2012.11915v1

    • [stat.AP]Separating and reintegrating latent variables to improve classification of genomic data
    Yujia Pan, Johann A. Gagnon-Bartsch
    http://arxiv.org/abs/2012.11757v1

    • [stat.ME]A spectral adjustment for spatial confounding
    Yawen Guan, Garritt L. Page, Brian J Reich, Massimo Ventrucci, Shu Yang
    http://arxiv.org/abs/2012.11767v1

    • [stat.ME]APIK: Active Physics-Informed Kriging Model with Partial Differential Equations
    Jialei Chen, Zhehui Chen, Chuck Zhang, C. F. Jeff Wu
    http://arxiv.org/abs/2012.11798v1

    • [stat.ME]Empirical Bayes PCA in high dimensions
    Xinyi Zhong, Chang Su, Zhou Fan
    http://arxiv.org/abs/2012.11676v1

    • [stat.ME]Forensic strength of evidence statements should preferably be likelihood ratios calculated using relevant data, quantitative measurements, and statistical models
    Geoffrey Stewart Morrison, Reinoud D Stoel
    http://arxiv.org/abs/2012.12198v1

    • [stat.ME]Independent Approximates enable closed-form estimation of heavy-tailed distributions
    Kenric P. Nelson
    http://arxiv.org/abs/2012.11026v2

    • [stat.ME]MLE of Jointly Constrained Mean-Covariance of Multivariate Normal Distributions
    Anupam Kundu, Mohsen Pourahmadi
    http://arxiv.org/abs/2012.11826v1

    • [stat.ME]Robust Inference Using the Exponential-Polynomial Divergence
    Pushpinder Singh, Abhijit Mandal, Ayanendranath Basu
    http://arxiv.org/abs/2012.11735v1

    • [stat.ML]Selective Forgetting of Deep Networks at a Finer Level than Samples
    Tomohiro Hayase, Suguru Yasutomi, Takashi Katoh
    http://arxiv.org/abs/2012.11849v1

    • [stat.ML]Tight Bounds on the Smallest Eigenvalue of the Neural Tangent Kernel for Deep ReLU Networks
    Quynh Nguyen, Marco Mondelli, Guido Montufar
    http://arxiv.org/abs/2012.11654v1

    • [stat.ML]Unsupervised Functional Data Analysis via Nonlinear Dimension Reduction
    Moritz Herrmann, Fabian Scheipl
    http://arxiv.org/abs/2012.11987v1