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