cs.AI - 人工智能
cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.MM - 多媒体 cs.MS - 数学软件 cs.NE - 神经与进化计算 cs.PF - 计算性能 cs.RO - 机器人学 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 hep-lat - 高能物理晶格 math.CO - 组合数学 math.NT - 数论 math.PR - 概率 math.ST - 统计理论 physics.ed-ph - 物理教育 q-bio.QM - 定量方法 q-fin.GN - 通用财务 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cs.AI]A Hybrid Model for Learning Embeddings and Logical Rules Simultaneously from Knowledge Graphs
• [cs.AI]Efficient Incremental Modelling and Solving
• [cs.AI]Hierarchical Affordance Discovery using Intrinsic Motivation
• [cs.AI]Randomized fast no-loss expert system to play tic tac toe like a human
• [cs.AI]The Scheduling Job-Set Optimization Problem: A Model-Based Diagnosis Approach
• [cs.AI]Using Unsupervised Learning to Help Discover the Causal Graph
• [cs.CL]A Comparative Study on Structural and Semantic Properties of Sentence Embeddings
• [cs.CL]A Token-wise CNN-based Method for Sentence Compression
• [cs.CL]Controlling Style in Generated Dialogue
• [cs.CL]Crosslingual Topic Modeling with WikiPDA
• [cs.CL]Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics
• [cs.CL]Evolution of Part-of-Speech in Classical Chinese
• [cs.CL]Exploiting Vietnamese Social Media Characteristics for Textual Emotion Recognition in Vietnamese
• [cs.CL]Ghmerti at SemEval-2019 Task 6: A Deep Word- and Character-based Approach to Offensive Language Identification
• [cs.CL]Harnessing Multilinguality in Unsupervised Machine Translation for Rare Languages
• [cs.CL]Hierarchical Pre-training for Sequence Labelling in Spoken Dialog
• [cs.CL]Investigating Machine Learning Methods for Language and Dialect Identification of Cuneiform Texts
• [cs.CL]Keeping Up Appearances: Computational Modeling of Face Acts in Persuasion Oriented Discussions
• [cs.CL]KoBE: Knowledge-Based Machine Translation Evaluation
• [cs.CL]LA-HCN: Label-based Attention for Hierarchical Multi-label TextClassification Neural Network
• [cs.CL]Lifelong Learning Dialogue Systems: Chatbots that Self-Learn On the Job
• [cs.CL]On Data Augmentation for Extreme Multi-label Classification
• [cs.CL]On the Ability of Self-Attention Networks to Recognize Counter Languages
• [cs.CL]Seq2Edits: Sequence Transduction Using Span-level Edit Operations
• [cs.CL]Streamlining Cross-Document Coreference Resolution: Evaluation and Modeling
• [cs.CL]The Persian Dependency Treebank Made Universal
• [cs.CL]The Struggles of Feature-Based Explanations: Shapley Values vs. Minimal Sufficient Subsets
• [cs.CL]Vector Projection Network for Few-shot Slot Tagging in Natural Language Understanding
• [cs.CL]Worst-Case-Aware Curriculum Learning for Zero and Few Shot Transfer
• [cs.CR]A Partial Break of the Honeypots Defense to Catch Adversarial Attacks
• [cs.CR]Distributed Differentially Private Mutual Information Ranking and Its Applications
• [cs.CR]FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning
• [cs.CR]Reliable, Fair and Decentralized Marketplace for Content Sharing Using Blockchain
• [cs.CV]2D-3D Geometric Fusion Network using Multi-Neighbourhood Graph Convolution for RGB-D Indoor Scene Classification
• [cs.CV]A Linear Transportation $\mathrm{L}^p$ Distance for Pattern Recognition
• [cs.CV]A Real-time Vision Framework for Pedestrian Behavior Recognition and Intention Prediction at Intersections Using 3D Pose Estimation
• [cs.CV]A Simple Yet Effective Method for Video Temporal Grounding with Cross-Modality Attention
• [cs.CV]A Sparse Sampling-based framework for Semantic Fast-Forward of First-Person Videos
• [cs.CV]Angular Luminance for Material Segmentation
• [cs.CV]Augmented Convolutional LSTMs for Generation of High-Resolution Climate Change Projections
• [cs.CV]CLASS: Cross-Level Attention and Supervision for Salient Objects Detection
• [cs.CV]Depth-Adapted CNN for RGB-D cameras
• [cs.CV]Differential Viewpoints for Ground Terrain Material Recognition
• [cs.CV]Efficient DWT-based fusion techniques using genetic algorithm for optimal parameter estimation
• [cs.CV]Exploring global diverse attention via pairwise temporal relation for video summarization
• [cs.CV]Extreme compression of grayscale images
• [cs.CV]Few-shot Font Generation with Localized Style Representations and Factorization
• [cs.CV]Generative Model without Prior Distribution Matching
• [cs.CV]Hamming OCR: A Locality Sensitive Hashing Neural Network for Scene Text Recognition
• [cs.CV]Improving Point Cloud Semantic Segmentation by Learning 3D Object Proposal Generation
• [cs.CV]Information-Theoretic Visual Explanation for Black-Box Classifiers
• [cs.CV]Interactive Learning for Semantic Segmentation in Earth Observation
• [cs.CV]Kernelized dense layers for facial expression recognition
• [cs.CV]Label-Efficient Multi-Task Segmentation using Contrastive Learning
• [cs.CV]Learning Visual Voice Activity Detection with an Automatically Annotated Dataset
• [cs.CV]Leveraging Local and Global Descriptors in Parallel to Search Correspondences for Visual Localization
• [cs.CV]LoRRaL: Facial Action Unit Detection Based on Local Region Relation Learning
• [cs.CV]MAFF-Net: Filter False Positive for 3D Vehicle Detection with Multi-modal Adaptive Feature Fusion
• [cs.CV]Multiple interaction learning with question-type prior knowledge for constraining answer search space in visual question answering
• [cs.CV]Multiplexed Illumination for Classifying Visually Similar Objects
• [cs.CV]Residual Embedding Similarity-Based Network Selection for Predicting Brain Network Evolution Trajectory from a Single Observation
• [cs.CV]Robust and efficient post-processing for video object detection
• [cs.CV]Role of Orthogonality Constraints in Improving Properties of Deep Networks for Image Classification
• [cs.CV]Scene Graph to Image Generation with Contextualized Object Layout Refinement
• [cs.CV]Segmentation and Defect Classification of the Power Line Insulators: A Deep Learning-based Approach
• [cs.CV]Spatial-Temporal Block and LSTM Network for Pedestrian Trajectories Prediction
• [cs.CV]Towards image-based automatic meter reading in unconstrained scenarios: A robust and efficient approach
• [cs.CV]Unsupervised Feature Learning for Event Data: Direct vs Inverse Problem Formulation
• [cs.CV]What is the Reward for Handwriting? — Handwriting Generation by Imitation Learning
• [cs.CV]X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers
• [cs.CY]A narrowing of AI research?
• [cs.CY]Accurate and Interpretable Machine Learning for Transparent Pricing of Health Insurance Plans
• [cs.CY]Ethical Machine Learning in Health Care
• [cs.CY]Logic Programming and Machine Ethics
• [cs.DC]Applying the Roofline model for Deep Learning performance optimizations
• [cs.DC]Dynamic Fusion based Federated Learning for COVID-19 Detection
• [cs.DC]Enhancing Resource Management through Prediction-based Policies
• [cs.DC]FusionStitching: Boosting Memory Intensive Computations for Deep Learning Workloads
• [cs.DC]GraphPi: High Performance Graph Pattern Matching through Effective Redundancy Elimination
• [cs.DC]Time-Optimal Self-Stabilizing Leader Election on Rings in Population Protocols
• [cs.DS]On the Locality of Nash-Williams Forest Decomposition and Star-Forest Decomposition
• [cs.DS]Timeliness-aware On-site Planning Method for Tour Navigation
• [cs.HC]Studying Person-Specific Pointing and Gaze Behavior for Multimodal Referencing of Outside Objects from a Moving Vehicle
• [cs.IR]Using the Hammer Only on Nails: A Hybrid Method for Evidence Retrieval for Question Answering
• [cs.IT]A Coded Caching Scheme with Linear Sub-packetization and its Application to Multi-Access Coded Caching
• [cs.IT]Fundamental Limits of Byzantine Agreement
• [cs.IT]Matrix Decomposition for Massive MIMO Detection
• [cs.IT]On Hybrid-ARQ-Based Intelligent Reflecting Surface-Assisted Communication System
• [cs.IT]Optimal Resource Allocation for Multi-user OFDMA-URLLC MEC Systems
• [cs.IT]Real-time Millimeter Wave Omnidirectional Channel Sounder Using Phased Array Antennas
• [cs.IT]SPARC-LDPC Coding for MIMO Massive Unsourced Random Access
• [cs.IT]Strongly Convex Divergences
• [cs.IT]Terahertz Massive MIMO with Holographic Reconfigurable Intelligent Surfaces
• [cs.LG]ANNdotNET — deep learning tool on .NET Platform
• [cs.LG]Contextual Bandits for adapting to changing User preferences over time
• [cs.LG]DTI-SNNFRA: Drug-Target interaction prediction by shared nearest neighbors and fuzzy-rough approximation
• [cs.LG]Deep Neural Tangent Kernel and Laplace Kernel Have the Same RKHS
• [cs.LG]Deep multi-stations weather forecasting: explainable recurrent convolutional neural networks
• [cs.LG]FedCluster: Boosting the Convergence of Federated Learning via Cluster-Cycling
• [cs.LG]Fuzzy Simplicial Networks: A Topology-Inspired Model to Improve Task Generalization in Few-shot Learning
• [cs.LG]Implicit Gradient Regularization
• [cs.LG]Improving Medical Annotation Quality to Decrease Labeling Burden Using Stratified Noisy Cross-Validation
• [cs.LG]Learn to Exceed: Stereo Inverse Reinforcement Learning with Concurrent Policy Optimization
• [cs.LG]Message Passing for Hyper-Relational Knowledge Graphs
• [cs.LG]Model-Centric and Data-Centric Aspects of Active Learning for Neural Network Models
• [cs.LG]My Health Sensor, my Classifier: Adapting a Trained Classifier to Unlabeled End-User Data
• [cs.LG]Online AUC Optimization for Sparse High-Dimensional Datasets
• [cs.LG]Probabilistic Label Trees for Extreme Multi-label Classification
• [cs.LG]Pruning Convolutional Filters using Batch Bridgeout
• [cs.LG]Representation Learning from Limited Educational Data with Crowdsourced Labels
• [cs.LG]Revisiting Design Choices in Proximal Policy Optimization
• [cs.LG]Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot
• [cs.LG]Semantics-Preserving Adversarial Training
• [cs.LG]Streaming Graph Neural Networks via Continual Learning
• [cs.LG]Supervised Multi-topology Network Cross-diffusion for Population-driven Brain Network Atlas Estimation
• [cs.LG]Tasks, stability, architecture, and compute: Training more effective learned optimizers, and using them to train themselves
• [cs.LG]Text Classification with Novelty Detection
• [cs.LG]Topology-Aware Generative Adversarial Network for Joint Prediction of Multiple Brain Graphs from a Single Brain Graph
• [cs.LG]Towards a Flexible Embedding Learning Framework
• [cs.LG]Using Machine Learning to Develop a Novel COVID-19 Vulnerability Index (C19VI)
• [cs.LG]Using Under-trained Deep Ensembles to Learn Under Extreme Label Noise
• [cs.LO]LTLf Synthesis on Probabilistic Systems
• [cs.LO]Symbolic Execution + Model Counting + Entropy Maximization = Automatic Search Synthesis
• [cs.MM]Cosine Similarity of Multimodal Content Vectors for TV Programmes
• [cs.MS]Portable high-order finite element kernels I: Streaming Operations
• [cs.NE]Procrustes: a Dataflow and Accelerator for Sparse Deep Neural Network Training
• [cs.PF]ReLeaSER: A Reinforcement Learning Strategy for Optimizing Utilization Of Ephemeral Cloud Resources
• [cs.RO]A Fleet Learning Architecture for Enhanced Behavior Predictions during Challenging External Conditions
• [cs.RO]Behavioral Repertoires for Soft Tensegrity Robots
• [cs.RO]ContactNets: Learning of Discontinuous Contact Dynamics with Smooth, Implicit Representations
• [cs.RO]DL-IAPS and PJSO: A Path/Speed Decoupled Trajectory Optimization and its Application in Autonomous Driving
• [cs.RO]Data-Driven Distributed State Estimation and Behavior Modeling in Sensor Networks
• [cs.RO]Dual-SLAM: A framework for robust single camera navigation
• [cs.RO]PICs for TECH: Pose Imitation Constraints (PICs) for TEaching Collaborative Heterogeneous robots (TECH)
• [cs.RO]Robust Reinforcement Learning-based Autonomous Driving Agent for Simulation and Real World
• [cs.SI]Explaining Gender Differences in Academics’ Career Trajectories
• [cs.SI]My tweets bring all the traits to the yard: Predicting personality and relational traits in Online Social Networks
• [cs.SI]Preserving Integrity in Online Social Networks
• [cs.SI]The cost of coordination can exceed the benefit of collaboration in performing complex tasks
• [cs.SI]Too big to see: exploring proxies of structure in a real large-scale university-industry cooperation network
• [eess.AS]Attention Driven Fusion for Multi-Modal Emotion Recognition
• [eess.AS]End-to-End Speech Recognition and Disfluency Removal
• [eess.IV]Adaptive Debanding Filter
• [eess.IV]Age-Net: An MRI-Based Iterative Framework for Biological Age Estimation
• [eess.IV]Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI
• [eess.IV]Attention with Multiple Sources Knowledges for COVID-19 from CT Images
• [eess.IV]Automatic Breast Lesion Classification by Joint Neural Analysis of Mammography and Ultrasound
• [eess.IV]CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation
• [eess.IV]CCBlock: An Effective Use of Deep Learning for Automatic Diagnosis of COVID-19 Using X-Ray Images
• [eess.IV]Cranial Implant Prediction using Low-Resolution 3D Shape Completion and High-Resolution 2D Refinement
• [eess.IV]Federated Learning for Computational Pathology on Gigapixel Whole Slide Images
• [eess.IV]Foreseeing Brain Graph Evolution Over Time Using Deep Adversarial Network Normalizer
• [eess.IV]GSR-Net: Graph Super-Resolution Network for Predicting High-Resolution from Low-Resolution Functional Brain Connectomes
• [eess.IV]Learning Non-Unique Segmentation with Reward-Penalty Dice Loss
• [eess.IV]Robustification of Segmentation Models Against Adversarial Perturbations In Medical Imaging
• [eess.IV]Whole Slide Images based Cancer Survival Prediction using Attention Guided Deep Multiple Instance Learning Networks
• [eess.SP]An electronic neuromorphic system for real-time detection of High Frequency Oscillations (HFOs) in intracranial EEG
• [eess.SP]Multi-Agent Deep Reinforcement Learning Based Trajectory Planning for Multi-UAV Assisted Mobile Edge Computing
• [eess.SY]A Multi-Agent Deep Reinforcement Learning Approach for a Distributed Energy Marketplace in Smart Grids
• [eess.SY]Demand Responsive Dynamic Pricing Framework for Prosumer Dominated Microgrids using Multiagent Reinforcement Learning
• [eess.SY]Factor Graph-Based Smoothing Without Matrix Inversion for Highly Precise Localization
• [hep-lat]Machine-learning physics from unphysics: Finding deconfinement temperature in lattice Yang-Mills theories from outside the scaling window
• [math.CO]On the number of contingency tables and the independence heuristic
• [math.NT]Bent and $\mathbb Z_{2^k}$-bent functions from spread-like partitions
• [math.PR]Entropic Compressibility of Lévy Processes
• [math.ST]A projection-based model checking for heterogeneous treatment effect
• [math.ST]Asymptotic independence of spiked eigenvalues and linear spectral statistics for large sample covariance matrices
• [math.ST]Finite sample inference for generic autoregressive models
• [math.ST]On IPW-based estimation of conditional average treatment effect
• [math.ST]Permanental Graphs
• [physics.ed-ph]Engaging Teachers to Co-Design Integrated AI Curriculum for K-12 Classrooms
• [q-bio.QM]Drug Repurposing for COVID-19 using Graph Neural Network with Genetic, Mechanistic, and Epidemiological Validation
• [q-fin.GN]Ants, robots, humans: a self-organizing, goal-driven modeling approach
• [stat.AP]Application of Dynamic Linear Models to Random Allocation Clinical Trials with Covariates
• [stat.AP]Using Undersampling with Ensemble Learning to Identify Factors Contributing to Preterm Birth
• [stat.ME]An Information Theoretic approach to Post Randomization Methods under Differential Privacy
• [stat.ME]An Introduction to Proximal Causal Learning
• [stat.ME]Docs are ROCs: A simple off-the-shelf approach for estimating average human performance in diagnostic studies
• [stat.ME]Factor analysis in high dimensional biological data with dependent observations
• [stat.ME]Finite mixture modeling of censored and missing data using the multivariate skew-normal distribution
• [stat.ME]Hierarchical Bayesian Bootstrap for Heterogeneous Treatment Effect Estimation
• [stat.ME]Independent finite approximations for Bayesian nonparametric inference: construction, error bounds, and practical implications
• [stat.ME]Modeling short-ranged dependence in block extrema with application to polar temperature data
• [stat.ME]Stochastic Generalized Lotka-Volterra Model with An Application to Learning Microbial Community Structures
• [stat.ML]An Intuitive Tutorial to Gaussian Processes Regression
• [stat.ML]Estimation error analysis of deep learning on the regression problem on the variable exponent Besov space
• [stat.ML]Learning Mixtures of Low-Rank Models
• [stat.ML]Probabilistic Machine Learning for Healthcare
·····································
• [cs.AI]A Hybrid Model for Learning Embeddings and Logical Rules Simultaneously from Knowledge Graphs
Susheel Suresh, Jennifer Neville
http://arxiv.org/abs/2009.10800v1
• [cs.AI]Efficient Incremental Modelling and Solving
Gökberk Koçak, Özgür Akgün, Nguyen Dang, Ian Miguel
http://arxiv.org/abs/2009.11111v1
• [cs.AI]Hierarchical Affordance Discovery using Intrinsic Motivation
Alexandre Manoury, Sao Mai Nguyen, Cédric Buche
http://arxiv.org/abs/2009.10968v1
• [cs.AI]Randomized fast no-loss expert system to play tic tac toe like a human
Aditya Jyoti Paul
http://arxiv.org/abs/2009.11225v1
• [cs.AI]The Scheduling Job-Set Optimization Problem: A Model-Based Diagnosis Approach
Patrick Rodler, Erich Teppan
http://arxiv.org/abs/2009.11142v1
• [cs.AI]Using Unsupervised Learning to Help Discover the Causal Graph
Seamus Brady
http://arxiv.org/abs/2009.10790v1
• [cs.CL]A Comparative Study on Structural and Semantic Properties of Sentence Embeddings
Alexander Kalinowski, Yuan An
http://arxiv.org/abs/2009.11226v1
• [cs.CL]A Token-wise CNN-based Method for Sentence Compression
Weiwei Hou, Hanna Suominen, Piotr Koniusz, Sabrina Caldwell, Tom Gedeon
http://arxiv.org/abs/2009.11260v1
• [cs.CL]Controlling Style in Generated Dialogue
Eric Michael Smith, Diana Gonzalez-Rico, Emily Dinan, Y-Lan Boureau
http://arxiv.org/abs/2009.10855v1
• [cs.CL]Crosslingual Topic Modeling with WikiPDA
Tiziano Piccardi, Robert West
http://arxiv.org/abs/2009.11207v1
• [cs.CL]Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics
Swabha Swayamdipta, Roy Schwartz, Nicholas Lourie, Yizhong Wang, Hannaneh Hajishirzi, Noah A. Smith, Yejin Choi
http://arxiv.org/abs/2009.10795v1
• [cs.CL]Evolution of Part-of-Speech in Classical Chinese
Bai Li
http://arxiv.org/abs/2009.11144v1
• [cs.CL]Exploiting Vietnamese Social Media Characteristics for Textual Emotion Recognition in Vietnamese
Khang Phuoc-Quy Nguyen, Kiet Van Nguyen
http://arxiv.org/abs/2009.11005v1
• [cs.CL]Ghmerti at SemEval-2019 Task 6: A Deep Word- and Character-based Approach to Offensive Language Identification
Ehsan Doostmohammadi, Hossein Sameti, Ali Saffar
http://arxiv.org/abs/2009.10792v1
• [cs.CL]Harnessing Multilinguality in Unsupervised Machine Translation for Rare Languages
Xavier Garcia, Aditya Siddhant, Orhan Firat, Ankur P. Parikh
http://arxiv.org/abs/2009.11201v1
• [cs.CL]Hierarchical Pre-training for Sequence Labelling in Spoken Dialog
Emile Chapuis, Pierre Colombo, Matteo Manica, Matthieu Labeau, Chloe Clavel
http://arxiv.org/abs/2009.11152v1
• [cs.CL]Investigating Machine Learning Methods for Language and Dialect Identification of Cuneiform Texts
Ehsan Doostmohammadi, Minoo Nassajian
http://arxiv.org/abs/2009.10794v1
• [cs.CL]Keeping Up Appearances: Computational Modeling of Face Acts in Persuasion Oriented Discussions
Ritam Dutt, Rishabh Joshi, Carolyn Penstein Rose
http://arxiv.org/abs/2009.10815v1
• [cs.CL]KoBE: Knowledge-Based Machine Translation Evaluation
Zorik Gekhman, Roee Aharoni, Genady Beryozkin, Markus Freitag, Wolfgang Macherey
http://arxiv.org/abs/2009.11027v1
• [cs.CL]LA-HCN: Label-based Attention for Hierarchical Multi-label TextClassification Neural Network
Xinyi Zhang, Jiahao Xu, Charlie Soh, Lihui Chen
http://arxiv.org/abs/2009.10938v1
• [cs.CL]Lifelong Learning Dialogue Systems: Chatbots that Self-Learn On the Job
Bing Liu, Sahisnu Mazumder
http://arxiv.org/abs/2009.10750v1
• [cs.CL]On Data Augmentation for Extreme Multi-label Classification
Danqing Zhang, Tao Li, Haiyang Zhang, Bing Yin
http://arxiv.org/abs/2009.10778v1
• [cs.CL]On the Ability of Self-Attention Networks to Recognize Counter Languages
Satwik Bhattamishra, Kabir Ahuja, Navin Goyal
http://arxiv.org/abs/2009.11264v1
• [cs.CL]Seq2Edits: Sequence Transduction Using Span-level Edit Operations
Felix Stahlberg, Shankar Kumar
http://arxiv.org/abs/2009.11136v1
• [cs.CL]Streamlining Cross-Document Coreference Resolution: Evaluation and Modeling
Arie Cattan, Alon Eirew, Gabriel Stanovsky, Mandar Joshi, Ido Dagan
http://arxiv.org/abs/2009.11032v1
• [cs.CL]The Persian Dependency Treebank Made Universal
Mohammad Sadegh Rasooli, Pegah Safari, Amirsaeid Moloodi, Alireza Nourian
http://arxiv.org/abs/2009.10205v2
• [cs.CL]The Struggles of Feature-Based Explanations: Shapley Values vs. Minimal Sufficient Subsets
Oana-Maria Camburu, Eleonora Giunchiglia, Jakob Foerster, Thomas Lukasiewicz, Phil Blunsom
http://arxiv.org/abs/2009.11023v1
• [cs.CL]Vector Projection Network for Few-shot Slot Tagging in Natural Language Understanding
Su Zhu, Ruisheng Cao, Lu Chen, Kai Yu
http://arxiv.org/abs/2009.09568v2
• [cs.CL]Worst-Case-Aware Curriculum Learning for Zero and Few Shot Transfer
Sheng Zhang, Xin Zhang, Weiming Zhang, Anders Søgaard
http://arxiv.org/abs/2009.11138v1
• [cs.CR]A Partial Break of the Honeypots Defense to Catch Adversarial Attacks
Nicholas Carlini
http://arxiv.org/abs/2009.10975v1
• [cs.CR]Distributed Differentially Private Mutual Information Ranking and Its Applications
Ankit Srivastava, Samira Pouyanfar, Joshua Allen, Ken Johnston, Qida Ma
http://arxiv.org/abs/2009.10861v1
• [cs.CR]FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning
Swanand Kadhe, Nived Rajaraman, O. Ozan Koyluoglu, Kannan Ramchandran
http://arxiv.org/abs/2009.11248v1
• [cs.CR]Reliable, Fair and Decentralized Marketplace for Content Sharing Using Blockchain
Prabal Banerjee, Chander Govindarajan, Praveen Jayachandran, Sushmita Ruj
http://arxiv.org/abs/2009.11033v1
• [cs.CV]2D-3D Geometric Fusion Network using Multi-Neighbourhood Graph Convolution for RGB-D Indoor Scene Classification
Albert Mosella-Montoro, Javier Ruiz-Hidalgo
http://arxiv.org/abs/2009.11154v1
• [cs.CV]A Linear Transportation $\mathrm{L}^p$ Distance for Pattern Recognition
Oliver M. Crook, Mihai Cucuringu, Tim Hurst, Carola-Bibiane Schönlieb, Matthew Thorpe, Konstantinos C. Zygalakis
http://arxiv.org/abs/2009.11262v1
• [cs.CV]A Real-time Vision Framework for Pedestrian Behavior Recognition and Intention Prediction at Intersections Using 3D Pose Estimation
Ue-Hwan Kim, Dongho Ka, Hwasoo Yeo, Jong-Hwan Kim
http://arxiv.org/abs/2009.10868v1
• [cs.CV]A Simple Yet Effective Method for Video Temporal Grounding with Cross-Modality Attention
Binjie Zhang, Yu Li, Chun Yuan, Dejing Xu, Pin Jiang, Ying Shan
http://arxiv.org/abs/2009.11232v1
• [cs.CV]A Sparse Sampling-based framework for Semantic Fast-Forward of First-Person Videos
Michel Melo Silva, Washington Luis Souza Ramos, Mario Fernando Montenegro Campos, Erickson Rangel Nascimento
http://arxiv.org/abs/2009.11063v1
• [cs.CV]Angular Luminance for Material Segmentation
Jia Xue, Matthew Purri, Kristin Dana
http://arxiv.org/abs/2009.10825v1
• [cs.CV]Augmented Convolutional LSTMs for Generation of High-Resolution Climate Change Projections
Nidhin Harilal, Udit Bhatia, Mayank Singh
http://arxiv.org/abs/2009.11279v1
• [cs.CV]CLASS: Cross-Level Attention and Supervision for Salient Objects Detection
Tang Lv, Bo Li
http://arxiv.org/abs/2009.10916v1
• [cs.CV]Depth-Adapted CNN for RGB-D cameras
Zongwei Wu, Guillaume Allibert, Christophe Stolz, Cedric Demonceaux
http://arxiv.org/abs/2009.09976v2
• [cs.CV]Differential Viewpoints for Ground Terrain Material Recognition
Jia Xue, Hang Zhang, Ko Nishino, Kristin J. Dana
http://arxiv.org/abs/2009.11072v1
• [cs.CV]Efficient DWT-based fusion techniques using genetic algorithm for optimal parameter estimation
S. Kavitha, K. K. Thyagharajan
http://arxiv.org/abs/2009.10777v1
• [cs.CV]Exploring global diverse attention via pairwise temporal relation for video summarization
Ping Li, Qinghao Ye, Luming Zhang, Li Yuan, Xianghua Xu, Ling Shao
http://arxiv.org/abs/2009.10942v1
• [cs.CV]Extreme compression of grayscale images
Franklin Mendivil, Örjan Stenflo
http://arxiv.org/abs/2009.10115v1
• [cs.CV]Few-shot Font Generation with Localized Style Representations and Factorization
Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim
http://arxiv.org/abs/2009.11042v1
• [cs.CV]Generative Model without Prior Distribution Matching
Cong Geng, Jia Wang, Li Chen, Zhiyong Gao
http://arxiv.org/abs/2009.11016v1
• [cs.CV]Hamming OCR: A Locality Sensitive Hashing Neural Network for Scene Text Recognition
Bingcong Li, Xin Tang, Xianbiao Qi, Yihao Chen, Rong Xiao
http://arxiv.org/abs/2009.10874v1
• [cs.CV]Improving Point Cloud Semantic Segmentation by Learning 3D Object Proposal Generation
Ozan Unal, Luc Van Gool, Dengxin Dai
http://arxiv.org/abs/2009.10569v2
• [cs.CV]Information-Theoretic Visual Explanation for Black-Box Classifiers
Jihun Yi, Eunji Kim, Siwon Kim, Sungroh Yoon
http://arxiv.org/abs/2009.11150v1
• [cs.CV]Interactive Learning for Semantic Segmentation in Earth Observation
Gaston Lenczner, Adrien Chan-Hon-Tong, Nicola Luminari, Bertrand Le Saux, Guy Le Besnerais
http://arxiv.org/abs/2009.11250v1
• [cs.CV]Kernelized dense layers for facial expression recognition
M. Amine Mahmoudi, Aladine Chetouani, Fatma Boufera, Hedi Tabia
http://arxiv.org/abs/2009.10814v1
• [cs.CV]Label-Efficient Multi-Task Segmentation using Contrastive Learning
Junichiro Iwasawa, Yuichiro Hirano, Yohei Sugawara
http://arxiv.org/abs/2009.11160v1
• [cs.CV]Learning Visual Voice Activity Detection with an Automatically Annotated Dataset
Sylvain Guy, Stéphane Lathuilière, Pablo Mesejo, Radu Horaud
http://arxiv.org/abs/2009.11204v1
• [cs.CV]Leveraging Local and Global Descriptors in Parallel to Search Correspondences for Visual Localization
Pengju Zhang, Yihong Wu, Bingxi Liu
http://arxiv.org/abs/2009.10891v1
• [cs.CV]LoRRaL: Facial Action Unit Detection Based on Local Region Relation Learning
Ziqiang Shi, Liu Liu, Rujie Liu, Xiaoyu Mi, and Kentaro Murase
http://arxiv.org/abs/2009.10892v1
• [cs.CV]MAFF-Net: Filter False Positive for 3D Vehicle Detection with Multi-modal Adaptive Feature Fusion
Zehan Zhang, Ming Zhang, Zhidong Liang, Xian Zhao, Ming Yang, Wenming Tan, ShiLiang Pu
http://arxiv.org/abs/2009.10945v1
• [cs.CV]Multiple interaction learning with question-type prior knowledge for constraining answer search space in visual question answering
Tuong Do, Binh X. Nguyen, Huy Tran, Erman Tjiputra, Quang D. Tran, Thanh-Toan Do
http://arxiv.org/abs/2009.11118v1
• [cs.CV]Multiplexed Illumination for Classifying Visually Similar Objects
Taihua Wang, Donald G. Dansereau
http://arxiv.org/abs/2009.11084v1
• [cs.CV]Residual Embedding Similarity-Based Network Selection for Predicting Brain Network Evolution Trajectory from a Single Observation
Ahmet Serkan Goktas, Alaa Bessadok, Islem Rekik
http://arxiv.org/abs/2009.11110v1
• [cs.CV]Robust and efficient post-processing for video object detection
Alberto Sabater, Luis Montesano, Ana C. Murillo
http://arxiv.org/abs/2009.11050v1
• [cs.CV]Role of Orthogonality Constraints in Improving Properties of Deep Networks for Image Classification
Hongjun Choi, Anirudh Som, Pavan Turaga
http://arxiv.org/abs/2009.10762v1
• [cs.CV]Scene Graph to Image Generation with Contextualized Object Layout Refinement
Maor Ivgi, Yaniv Benny, Avichai Ben-David, Jonathan Berant, Lior Wolf
http://arxiv.org/abs/2009.10939v1
• [cs.CV]Segmentation and Defect Classification of the Power Line Insulators: A Deep Learning-based Approach
Arman Alahyari, Anton Hinneck, Rahim Tariverdi, David Pozo
http://arxiv.org/abs/2009.10163v1
• [cs.CV]Spatial-Temporal Block and LSTM Network for Pedestrian Trajectories Prediction
Xiong Dan
http://arxiv.org/abs/2009.10468v2
• [cs.CV]Towards image-based automatic meter reading in unconstrained scenarios: A robust and efficient approach
Rayson Laroca, Alessandra B. Araujo, Luiz A. Zanlorensi, Eduardo C. de Almeida, David Menotti
http://arxiv.org/abs/2009.10181v1
• [cs.CV]Unsupervised Feature Learning for Event Data: Direct vs Inverse Problem Formulation
Dimche Kostadinov, Davide Scaramuzza
http://arxiv.org/abs/2009.11044v1
• [cs.CV]What is the Reward for Handwriting? — Handwriting Generation by Imitation Learning
Keisuke Kanda, Brian Kenji Iwana, Seiichi Uchida
http://arxiv.org/abs/2009.10962v1
• [cs.CV]X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers
Jaemin Cho, Jiasen Lu, Dustin Schwenk, Hannaneh Hajishirzi, Aniruddha Kembhavi
http://arxiv.org/abs/2009.11278v1
• [cs.CY]A narrowing of AI research?
Joel Klinger, Juan Mateos-Garcia, Konstantinos Stathoulopoulos
http://arxiv.org/abs/2009.10385v2
• [cs.CY]Accurate and Interpretable Machine Learning for Transparent Pricing of Health Insurance Plans
Rohun Kshirsagar, Li-Yen Hsu, Charles H. Greenberg, Matthew McClelland, Anushadevi Mohan, Wideet Shende, Nicolas P. Tilmans, Min Guo, Ankit Chheda, Meredith Trotter, Shonket Ray, Miguel Alvarado
http://arxiv.org/abs/2009.10990v1
• [cs.CY]Ethical Machine Learning in Health Care
Irene Y. Chen, Emma Pierson, Sherri Rose, Shalmali Joshi, Kadija Ferryman, Marzyeh Ghassemi
http://arxiv.org/abs/2009.10576v2
• [cs.CY]Logic Programming and Machine Ethics
Abeer Dyoub, Stefania Costantini, Francesca A. Lisi
http://arxiv.org/abs/2009.11186v1
• [cs.DC]Applying the Roofline model for Deep Learning performance optimizations
Jacek Czaja, Michal Gallus, Joanna Wozna, Adam Grygielski, Luo Tao
http://arxiv.org/abs/2009.11224v1
• [cs.DC]Dynamic Fusion based Federated Learning for COVID-19 Detection
Weishan Zhang, Tao Zhou, Qinghua Lu, Xiao Wang, Chunsheng Zhu, Haoyun Sun, Zhipeng Wang, Fei-Yue Wang
http://arxiv.org/abs/2009.10401v2
• [cs.DC]Enhancing Resource Management through Prediction-based Policies
Antoni Navarro, Arthur F. Lorenzon, Eduard Ayguadé, Vicenç Beltran
http://arxiv.org/abs/2009.10950v1
• [cs.DC]FusionStitching: Boosting Memory Intensive Computations for Deep Learning Workloads
Zhen Zheng, Pengzhan Zhao, Guoping Long, Feiwen Zhu, Kai Zhu, Wenyi Zhao, Lansong Diao, Jun Yang, Wei Lin
http://arxiv.org/abs/2009.10924v1
• [cs.DC]GraphPi: High Performance Graph Pattern Matching through Effective Redundancy Elimination
Tianhui Shi, Mingshu Zhai, Yi Xu, Jidong Zhai
http://arxiv.org/abs/2009.10955v1
• [cs.DC]Time-Optimal Self-Stabilizing Leader Election on Rings in Population Protocols
Daisuke Yokota, Yuichi Sudo, Toshimitsu Masuzawa
http://arxiv.org/abs/2009.10926v1
• [cs.DS]On the Locality of Nash-Williams Forest Decomposition and Star-Forest Decomposition
David G. Harris, Hsin-Hao Su, Hoa T. Vu
http://arxiv.org/abs/2009.10761v1
• [cs.DS]Timeliness-aware On-site Planning Method for Tour Navigation
S. Isoda, M. Hidaka, Y. Matsuda, H. Suwa, K. Yasumoto
http://arxiv.org/abs/2009.11040v1
• [cs.HC]Studying Person-Specific Pointing and Gaze Behavior for Multimodal Referencing of Outside Objects from a Moving Vehicle
Amr Gomaa, Guillermo Reyes, Alexandra Alles, Lydia Rupp, Michael Feld
http://arxiv.org/abs/2009.11195v1
• [cs.IR]Using the Hammer Only on Nails: A Hybrid Method for Evidence Retrieval for Question Answering
Zhengzhong Liang, Yiyun Zhao, Mihai Surdeanu
http://arxiv.org/abs/2009.10791v1
• [cs.IT]A Coded Caching Scheme with Linear Sub-packetization and its Application to Multi-Access Coded Caching
Anjana A. Mahesh, B. Sundar Rajan
http://arxiv.org/abs/2009.10923v1
• [cs.IT]Fundamental Limits of Byzantine Agreement
Jinyuan Chen
http://arxiv.org/abs/2009.10965v1
• [cs.IT]Matrix Decomposition for Massive MIMO Detection
Shahriar Shahabuddin, Muhammad Hasibul Islam, Mohammad Shahanewaz Shahabuddin, Mahmoud A. Albreem, Markku Juntti
http://arxiv.org/abs/2009.11172v1
• [cs.IT]On Hybrid-ARQ-Based Intelligent Reflecting Surface-Assisted Communication System
Y. Ai, M. Mohamed, L. Kong, A. Al-Samen, M. Cheffena
http://arxiv.org/abs/2009.10776v1
• [cs.IT]Optimal Resource Allocation for Multi-user OFDMA-URLLC MEC Systems
Walid R. Ghanem, Vahid Jamali, Robert Schober
http://arxiv.org/abs/2009.11073v1
• [cs.IT]Real-time Millimeter Wave Omnidirectional Channel Sounder Using Phased Array Antennas
Aditya Chopra, Andrew Thornburg, Ojas Kanhere, Abbas Termos, Saeed S. Ghassemzadeh, Theodore S. Rappaport
http://arxiv.org/abs/2009.11093v1
• [cs.IT]SPARC-LDPC Coding for MIMO Massive Unsourced Random Access
Tianya Li, Yongpeng Wu, Mengfan Zheng, Dongming Wang, Wenjun Zhang
http://arxiv.org/abs/2009.10912v1
• [cs.IT]Strongly Convex Divergences
James Melbourne
http://arxiv.org/abs/2009.10838v1
• [cs.IT]Terahertz Massive MIMO with Holographic Reconfigurable Intelligent Surfaces
Ziwei Wan, Zhen Gao, Marco Di Renzo, Mohamed-Slim Alouini
http://arxiv.org/abs/2009.10963v1
• [cs.LG]ANNdotNET — deep learning tool on .NET Platform
Bahrudin Hrnjica
http://arxiv.org/abs/2009.11112v1
• [cs.LG]Contextual Bandits for adapting to changing User preferences over time
Dattaraj Rao
http://arxiv.org/abs/2009.10073v2
• [cs.LG]DTI-SNNFRA: Drug-Target interaction prediction by shared nearest neighbors and fuzzy-rough approximation
Sk Mazharul Islam, Sk Md Mosaddek Hossain, Sumanta Ray
http://arxiv.org/abs/2009.10766v1
• [cs.LG]Deep Neural Tangent Kernel and Laplace Kernel Have the Same RKHS
Lin Chen, Sheng Xu
http://arxiv.org/abs/2009.10683v2
• [cs.LG]Deep multi-stations weather forecasting: explainable recurrent convolutional neural networks
Ismail Alaoui Abdellaoui, Siamak Mehrkanoon
http://arxiv.org/abs/2009.11239v1
• [cs.LG]FedCluster: Boosting the Convergence of Federated Learning via Cluster-Cycling
Cheng Chen, Ziyi Chen, Yi Zhou, Bhavya Kailkhura
http://arxiv.org/abs/2009.10748v1
• [cs.LG]Fuzzy Simplicial Networks: A Topology-Inspired Model to Improve Task Generalization in Few-shot Learning
Henry Kvinge, Zachary New, Nico Courts, Jung H. Lee, Lauren A. Phillips, Courtney D. Corley, Aaron Tuor, Andrew Avila, Nathan O. Hodas
http://arxiv.org/abs/2009.11253v1
• [cs.LG]Implicit Gradient Regularization
David G. T. Barrett, Benoit Dherin
http://arxiv.org/abs/2009.11162v1
• [cs.LG]Improving Medical Annotation Quality to Decrease Labeling Burden Using Stratified Noisy Cross-Validation
Joy Hsu, Sonia Phene, Akinori Mitani, Jieying Luo, Naama Hammel, Jonathan Krause, Rory Sayres
http://arxiv.org/abs/2009.10858v1
• [cs.LG]Learn to Exceed: Stereo Inverse Reinforcement Learning with Concurrent Policy Optimization
Feng Tao, Yongcan Cao
http://arxiv.org/abs/2009.09577v2
• [cs.LG]Message Passing for Hyper-Relational Knowledge Graphs
Mikhail Galkin, Priyansh Trivedi, Gaurav Maheshwari, Ricardo Usbeck, Jens Lehmann
http://arxiv.org/abs/2009.10847v1
• [cs.LG]Model-Centric and Data-Centric Aspects of Active Learning for Neural Network Models
John Daniel Bossér, Erik Sörstadius, Morteza Haghir Chehreghani
http://arxiv.org/abs/2009.10835v1
• [cs.LG]My Health Sensor, my Classifier: Adapting a Trained Classifier to Unlabeled End-User Data
Konstantinos Nikolaidis, Stein Kristiansen, Thomas Plagemann, Vera Goebel, Knut Liestøl, Mohan Kankanhalli, Gunn Marit Traaen, Britt Øverland, Harriet Akre, Lars Aakerøy, Sigurd Steinshamn
http://arxiv.org/abs/2009.10799v1
• [cs.LG]Online AUC Optimization for Sparse High-Dimensional Datasets
Baojian Zhou, Yiming Ying, Steven Skiena
http://arxiv.org/abs/2009.10867v1
• [cs.LG]Probabilistic Label Trees for Extreme Multi-label Classification
Kalina Jasinska-Kobus, Marek Wydmuch, Krzysztof Dembczynski, Mikhail Kuznetsov, Robert Busa-Fekete
http://arxiv.org/abs/2009.11218v1
• [cs.LG]Pruning Convolutional Filters using Batch Bridgeout
Najeeb Khan, Ian Stavness
http://arxiv.org/abs/2009.10893v1
• [cs.LG]Representation Learning from Limited Educational Data with Crowdsourced Labels
Wentao Wang, Guowei Xu, Wenbiao Ding, Gale Yan Huang, Guoliang Li, Jiliang Tang, Zitao Liu
http://arxiv.org/abs/2009.11222v1
• [cs.LG]Revisiting Design Choices in Proximal Policy Optimization
Chloe Ching-Yun Hsu, Celestine Mendler-Dünner, Moritz Hardt
http://arxiv.org/abs/2009.10897v1
• [cs.LG]Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot
Jingtong Su, Yihang Chen, Tianle Cai, Tianhao Wu, Ruiqi Gao, Liwei Wang, Jason D. Lee
http://arxiv.org/abs/2009.11094v1
• [cs.LG]Semantics-Preserving Adversarial Training
Wonseok Lee, Hanbit Lee, Sang-goo Lee
http://arxiv.org/abs/2009.10978v1
• [cs.LG]Streaming Graph Neural Networks via Continual Learning
Junshan Wang, Guojie Song, Yi Wu, Liang Wang
http://arxiv.org/abs/2009.10951v1
• [cs.LG]Supervised Multi-topology Network Cross-diffusion for Population-driven Brain Network Atlas Estimation
Islem Mhiri, Mohamed Ali Mahjoub, Islem Rekik
http://arxiv.org/abs/2009.11054v1
• [cs.LG]Tasks, stability, architecture, and compute: Training more effective learned optimizers, and using them to train themselves
Luke Metz, Niru Maheswaranathan, C. Daniel Freeman, Ben Poole, Jascha Sohl-Dickstein
http://arxiv.org/abs/2009.11243v1
• [cs.LG]Text Classification with Novelty Detection
Qi Qin, Wenpeng Hu, Bing Liu
http://arxiv.org/abs/2009.11119v1
• [cs.LG]Topology-Aware Generative Adversarial Network for Joint Prediction of Multiple Brain Graphs from a Single Brain Graph
Alaa Bessadok, Mohamed Ali Mahjoub, Islem Rekik
http://arxiv.org/abs/2009.11058v1
• [cs.LG]Towards a Flexible Embedding Learning Framework
Chin-Chia Michael Yeh, Dhruv Gelda, Zhongfang Zhuang, Yan Zheng, Liang Gou, Wei Zhang
http://arxiv.org/abs/2009.10989v1
• [cs.LG]Using Machine Learning to Develop a Novel COVID-19 Vulnerability Index (C19VI)
Anuj Tiwari, Arya V. Dadhania, Vijay Avin Balaji Ragunathrao, Edson R. A. Oliveira
http://arxiv.org/abs/2009.10808v1
• [cs.LG]Using Under-trained Deep Ensembles to Learn Under Extreme Label Noise
Konstantinos Nikolaidis, Thomas Plagemann, Stein Kristiansen, Vera Goebel, Mohan Kankanhalli
http://arxiv.org/abs/2009.11128v1
• [cs.LO]LTLf Synthesis on Probabilistic Systems
Andrew M. Wells, Morteza Lahijanian, Lydia E. Kavraki, Moshe Y. Vardi
http://arxiv.org/abs/2009.10883v1
• [cs.LO]Symbolic Execution + Model Counting + Entropy Maximization = Automatic Search Synthesis
Mara Downing, Abtin Molavi, Lucas Bang
http://arxiv.org/abs/2009.10877v1
• [cs.MM]Cosine Similarity of Multimodal Content Vectors for TV Programmes
Saba Nazir. Taner Cagali, Chris Newell, Mehrnoosh Sadrzadeh
http://arxiv.org/abs/2009.11129v1
• [cs.MS]Portable high-order finite element kernels I: Streaming Operations
Noel Chalmers, Tim Warburton
http://arxiv.org/abs/2009.10917v1
• [cs.NE]Procrustes: a Dataflow and Accelerator for Sparse Deep Neural Network Training
Dingqing Yang, Amin Ghasemazar, Xiaowei Ren, Maximilian Golub, Guy Lemieux, Mieszko Lis
http://arxiv.org/abs/2009.10976v1
• [cs.PF]ReLeaSER: A Reinforcement Learning Strategy for Optimizing Utilization Of Ephemeral Cloud Resources
Mohamed Handaoui, Jean-Emile Dartois, Jalil Boukhobza, Olivier Barais, Laurent d’Orazio
http://arxiv.org/abs/2009.11208v1
• [cs.RO]A Fleet Learning Architecture for Enhanced Behavior Predictions during Challenging External Conditions
Florian Wirthmüller, Marvin Klimke, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert
http://arxiv.org/abs/2009.11221v1
• [cs.RO]Behavioral Repertoires for Soft Tensegrity Robots
Kyle Doney, Aikaterini Petridou, Jacob Karaul, Ali Khan, Geoffrey Liu, John Rieffel
http://arxiv.org/abs/2009.10864v1
• [cs.RO]ContactNets: Learning of Discontinuous Contact Dynamics with Smooth, Implicit Representations
Samuel Pfrommer, Mathew Halm, Michael Posa
http://arxiv.org/abs/2009.11193v1
• [cs.RO]DL-IAPS and PJSO: A Path/Speed Decoupled Trajectory Optimization and its Application in Autonomous Driving
Jinyun Zhou, Runxin He, Yu Wang, Shu Jiang, Zhenguang Zhu, Jiangtao Hu, Jinghao Miao, Qi Luo
http://arxiv.org/abs/2009.11135v1
• [cs.RO]Data-Driven Distributed State Estimation and Behavior Modeling in Sensor Networks
Rui Yu, Zhenyuan Yuan, Minghui Zhu, Zihan Zhou
http://arxiv.org/abs/2009.10827v1
• [cs.RO]Dual-SLAM: A framework for robust single camera navigation
Huajian Huang, Wen-Yan Lin, Siying Liu, Dong Zhang, Sai-Kit Yeung
http://arxiv.org/abs/2009.11219v1
• [cs.RO]PICs for TECH: Pose Imitation Constraints (PICs) for TEaching Collaborative Heterogeneous robots (TECH)
Glebys Gonzalez, Juan Wachs
http://arxiv.org/abs/2009.10947v1
• [cs.RO]Robust Reinforcement Learning-based Autonomous Driving Agent for Simulation and Real World
Péter Almási, Róbert Moni, Bálint Gyires-Tóth
http://arxiv.org/abs/2009.11212v1
• [cs.SI]Explaining Gender Differences in Academics’ Career Trajectories
Aniko Hannak, Kenneth Joseph, Andrei Cimpian, Daniel B. Larremore
http://arxiv.org/abs/2009.10830v1
• [cs.SI]My tweets bring all the traits to the yard: Predicting personality and relational traits in Online Social Networks
Dimitra Karanatsiou, Pavlos Sermpezis, Jon Gruda, Konstantinos Kafetsios, Ilias Dimitriadis, Athena Vakali
http://arxiv.org/abs/2009.10802v1
• [cs.SI]Preserving Integrity in Online Social Networks
Alon Halevy, Cristian Canton Ferrer, Hao Ma, Umut Ozertem, Patrick Pantel, Marzieh Saeidi, Fabrizio Silvestri, Ves Stoyanov
http://arxiv.org/abs/2009.10311v2
• [cs.SI]The cost of coordination can exceed the benefit of collaboration in performing complex tasks
Vince J. Straub, Milena Tsvetkova, Taha Yasseri
http://arxiv.org/abs/2009.11038v1
• [cs.SI]Too big to see: exploring proxies of structure in a real large-scale university-industry cooperation network
Yuri Campbell
http://arxiv.org/abs/2009.11113v1
• [eess.AS]Attention Driven Fusion for Multi-Modal Emotion Recognition
Darshana Priyasad, Tharindu Fernando, Simon Denman, Clinton Fookes, Sridha Sridharan
http://arxiv.org/abs/2009.10991v1
• [eess.AS]End-to-End Speech Recognition and Disfluency Removal
Paria Jamshid Lou, Mark Johnson
http://arxiv.org/abs/2009.10298v2
• [eess.IV]Adaptive Debanding Filter
Zhengzhong Tu, Jessie Lin, Yilin Wang, Balu Adsumilli, Alan C. Bovik
http://arxiv.org/abs/2009.10804v1
• [eess.IV]Age-Net: An MRI-Based Iterative Framework for Biological Age Estimation
Karim Armanious, Sherif Abdulatif, Wenbin Shi, Shashank Salian, Thomas Küstner, Daniel Weiskopf, Tobias Hepp, Sergios Gatidis, Bin Yang
http://arxiv.org/abs/2009.10765v1
• [eess.IV]Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI
Anneke Meyer, Grzegorz Chlebus, Marko Rak, Daniel Schindele, Martin Schostak, Bram van Ginneken, Andrea Schenk, Hans Meine, Horst K. Hahn, Andreas Schreiber, Christian Hansen
http://arxiv.org/abs/2009.11120v1
• [eess.IV]Attention with Multiple Sources Knowledges for COVID-19 from CT Images
Duy M. H. Nguyen, Duy M. Nguyen, Huong Vu, Binh T. Nguyen, Fabrizio Nunnari, Daniel Sonntag
http://arxiv.org/abs/2009.11008v1
• [eess.IV]Automatic Breast Lesion Classification by Joint Neural Analysis of Mammography and Ultrasound
Gavriel Habib, Nahum Kiryati, Miri Sklair-Levy, Anat Shalmon, Osnat Halshtok Neiman, Renata Faermann Weidenfeld, Yael Yagil, Eli Konen, Arnaldo Mayer
http://arxiv.org/abs/2009.11009v1
• [eess.IV]CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation
Ran Gu, Guotai Wang, Tao Song, Rui Huang, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Shaoting Zhang
http://arxiv.org/abs/2009.10549v2
• [eess.IV]CCBlock: An Effective Use of Deep Learning for Automatic Diagnosis of COVID-19 Using X-Ray Images
Ali Al-Bawi, Karrar Ali Al-Kaabi, Mohammed Jeryo, Ahmad Al-Fatlawi
http://arxiv.org/abs/2009.10141v1
• [eess.IV]Cranial Implant Prediction using Low-Resolution 3D Shape Completion and High-Resolution 2D Refinement
Amirhossein Bayat, Suprosanna Shit, Adrian Kilian, Jürgen T. Liechtenstein, Jan S. Kirschke, Bjoern H. Menze
http://arxiv.org/abs/2009.10769v1
• [eess.IV]Federated Learning for Computational Pathology on Gigapixel Whole Slide Images
Ming Y. Lu, Dehan Kong, Jana Lipkova, Richard J. Chen, Rajendra Singh, Drew F. K. Williamson, Tiffany Y. Chen, Faisal Mahmood
http://arxiv.org/abs/2009.10190v2
• [eess.IV]Foreseeing Brain Graph Evolution Over Time Using Deep Adversarial Network Normalizer
Zeynep Gurler, Ahmed Nebli, Islem Rekik
http://arxiv.org/abs/2009.11166v1
• [eess.IV]GSR-Net: Graph Super-Resolution Network for Predicting High-Resolution from Low-Resolution Functional Brain Connectomes
Megi Isallari, Islem Rekik
http://arxiv.org/abs/2009.11080v1
• [eess.IV]Learning Non-Unique Segmentation with Reward-Penalty Dice Loss
Jiabo He, Sarah Erfani, Sudanthi Wijewickrema, Stephen O’Leary, Kotagiri Ramamohanarao
http://arxiv.org/abs/2009.10987v1
• [eess.IV]Robustification of Segmentation Models Against Adversarial Perturbations In Medical Imaging
Hanwool Park, Amirhossein Bayat, Mohammad Sabokrou, Jan S. Kirschke, Bjoern H. Menze
http://arxiv.org/abs/2009.11090v1
• [eess.IV]Whole Slide Images based Cancer Survival Prediction using Attention Guided Deep Multiple Instance Learning Networks
Jiawen Yao, Xinliang Zhu, Jitendra Jonnagaddala, Nicholas Hawkins, Junzhou Huang
http://arxiv.org/abs/2009.11169v1
• [eess.SP]An electronic neuromorphic system for real-time detection of High Frequency Oscillations (HFOs) in intracranial EEG
Mohammadali Sharifhazileh, Karla Burelo, Johannes Sarnthein, Giacomo Indiveri
http://arxiv.org/abs/2009.11245v1
• [eess.SP]Multi-Agent Deep Reinforcement Learning Based Trajectory Planning for Multi-UAV Assisted Mobile Edge Computing
Liang Wang, Kezhi Wang, Cunhua Pan, Wei Xu, Nauman Aslam, Lajos Hanzo
http://arxiv.org/abs/2009.11277v1
• [eess.SY]A Multi-Agent Deep Reinforcement Learning Approach for a Distributed Energy Marketplace in Smart Grids
Arman Ghasemi, Amin Shojaeighadikolaei, Kailani Jones, Morteza Hashemi, Alexandru G. Bardas, Reza Ahmadi
http://arxiv.org/abs/2009.10905v1
• [eess.SY]Demand Responsive Dynamic Pricing Framework for Prosumer Dominated Microgrids using Multiagent Reinforcement Learning
Amin Shojaeighadikolaei, Arman Ghasemi, Kailani R. Jones, Alexandru G. Bardas, Morteza Hashemi, Reza Ahmadi
http://arxiv.org/abs/2009.10890v1
• [eess.SY]Factor Graph-Based Smoothing Without Matrix Inversion for Highly Precise Localization
Paul Chauchat, Axel Barrau, Silvère Bonnabel
http://arxiv.org/abs/2009.11097v1
• [hep-lat]Machine-learning physics from unphysics: Finding deconfinement temperature in lattice Yang-Mills theories from outside the scaling window
D. L. Boyda, M. N. Chernodub, N. V. Gerasimeniuk, V. A. Goy, S. D. Liubimov, A. V. Molochkov
http://arxiv.org/abs/2009.10971v1
• [math.CO]On the number of contingency tables and the independence heuristic
Hanbaek Lyu, Igor Pak
http://arxiv.org/abs/2009.10810v1
• [math.NT]Bent and $\mathbb Z_{2^k}$-bent functions from spread-like partitions
Wilfried Meidl, Isabel Pirsic
http://arxiv.org/abs/2009.11019v1
• [math.PR]Entropic Compressibility of Lévy Processes
Julien Fageot, Alireza Fallah, Thibaut Horel
http://arxiv.org/abs/2009.10753v1
• [math.ST]A projection-based model checking for heterogeneous treatment effect
Niwen Zhou, Xu Guo, Lixing Zhu
http://arxiv.org/abs/2009.10900v1
• [math.ST]Asymptotic independence of spiked eigenvalues and linear spectral statistics for large sample covariance matrices
Zhixiang Zhan, Shurong Zheng, Guangming Pan, Pingshou Zhong
http://arxiv.org/abs/2009.11010v1
• [math.ST]Finite sample inference for generic autoregressive models
Hien Duy Nguyen
http://arxiv.org/abs/2009.11124v1
• [math.ST]On IPW-based estimation of conditional average treatment effect
Niwen Zhou, Lixing Zhu
http://arxiv.org/abs/2009.10898v1
• [math.ST]Permanental Graphs
Daniel Xiang, Peter McCullagh
http://arxiv.org/abs/2009.10902v1
• [physics.ed-ph]Engaging Teachers to Co-Design Integrated AI Curriculum for K-12 Classrooms
Jessica Van Brummelen, Phoebe Lin
http://arxiv.org/abs/2009.11100v1
• [q-bio.QM]Drug Repurposing for COVID-19 using Graph Neural Network with Genetic, Mechanistic, and Epidemiological Validation
Kanglin Hsieh, Yinyin Wang, Luyao Chen, Zhongming Zhao, Sean Savitz, Xiaoqian Jiang, Jing Tang, Yejin Kim
http://arxiv.org/abs/2009.10931v1
• [q-fin.GN]Ants, robots, humans: a self-organizing, goal-driven modeling approach
Martin Jaraiz
http://arxiv.org/abs/2009.10823v1
• [stat.AP]Application of Dynamic Linear Models to Random Allocation Clinical Trials with Covariates
Albert H. Lee III
http://arxiv.org/abs/2009.11074v1
• [stat.AP]Using Undersampling with Ensemble Learning to Identify Factors Contributing to Preterm Birth
Shi Dong, Zlatan Feric, Guangyu Li, Chieh Wu, April Z. Gu, Jennifer Dy, John Meeker, Ingrid Y. Padilla, Jose Cordero, Carmen Velez Vega, Zaira Rosario, Akram Alshawabkeh, David Kaeli
http://arxiv.org/abs/2009.11242v1
• [stat.ME]An Information Theoretic approach to Post Randomization Methods under Differential Privacy
Fadhel Ayed, Marco Battiston, Federico Camerlenghi
http://arxiv.org/abs/2009.11257v1
• [stat.ME]An Introduction to Proximal Causal Learning
Eric J Tchetgen Tchetgen, Andrew Ying, Yifan Cui, Xu Shi, Wang Miao
http://arxiv.org/abs/2009.10982v1
• [stat.ME]Docs are ROCs: A simple off-the-shelf approach for estimating average human performance in diagnostic studies
Luke Oakden-Rayner, Lyle Palmer
http://arxiv.org/abs/2009.11060v1
• [stat.ME]Factor analysis in high dimensional biological data with dependent observations
Chris McKennan
http://arxiv.org/abs/2009.11134v1
• [stat.ME]Finite mixture modeling of censored and missing data using the multivariate skew-normal distribution
Francisco H. C. de Alencar, Christian E. Galarza, Larissa A. Matos, Victor H. Lachos
http://arxiv.org/abs/2009.10826v1
• [stat.ME]Hierarchical Bayesian Bootstrap for Heterogeneous Treatment Effect Estimation
Arman Oganisian, Nandita Mitra, Jason Roy
http://arxiv.org/abs/2009.10839v1
• [stat.ME]Independent finite approximations for Bayesian nonparametric inference: construction, error bounds, and practical implications
Tin D. Nguyen, Jonathan Huggins, Lorenzo Masoero, Lester Mackey, Tamara Broderick
http://arxiv.org/abs/2009.10780v1
• [stat.ME]Modeling short-ranged dependence in block extrema with application to polar temperature data
Brook T. Russell, Whitney K. Huang
http://arxiv.org/abs/2009.11098v1
• [stat.ME]Stochastic Generalized Lotka-Volterra Model with An Application to Learning Microbial Community Structures
Libai Xu, Ximing Xu, Dehan Kong, Hong Gu, Toby Kenney
http://arxiv.org/abs/2009.10922v1
• [stat.ML]An Intuitive Tutorial to Gaussian Processes Regression
Jie Wang
http://arxiv.org/abs/2009.10862v1
• [stat.ML]Estimation error analysis of deep learning on the regression problem on the variable exponent Besov space
Kazuma Tsuji, Taiji Suzuki
http://arxiv.org/abs/2009.11285v1
• [stat.ML]Learning Mixtures of Low-Rank Models
Yanxi Chen, Cong Ma, H. Vincent Poor, Yuxin Chen
http://arxiv.org/abs/2009.11282v1
• [stat.ML]Probabilistic Machine Learning for Healthcare
Irene Y. Chen, Shalmali Joshi, Marzyeh Ghassemi, Rajesh Ranganath
http://arxiv.org/abs/2009.11087v1