astro-ph.IM - 仪器仪表和天体物理学方法
cond-mat.mtrl-sci - 材料科学 cs.AI - 人工智能 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 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.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.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 gr-qc - 广义相对论与量子宇宙学 hep-ph - 高能物理现象学 math.PR - 概率 math.ST - 统计理论 q-bio.GN - 基因组学 q-bio.PE - 人口与发展 q-bio.QM - 定量方法 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
• [astro-ph.IM]FemtoSats for Exploring Permanently Shadowed Regions on the Moon
• [cond-mat.mtrl-sci]TEMImageNet and AtomSegNet Deep Learning Training Library and Models for High-Precision Atom Segmentation, Localization, Denoising, and Super-resolution Processing of Atom-Resolution Scanning TEM Images
• [cs.AI]A Memory-Augmented Neural Network Model of Abstract Rule Learning
• [cs.AI]Bayes Meets Entailment and Prediction: Commonsense Reasoning with Non-monotonicity, Paraconsistency and Predictive Accuracy
• [cs.AI]Communicative Message Passing for Inductive Relation Reasoning
• [cs.AI]Grounding Artificial Intelligence in the Origins of Human Behavior
• [cs.AI]Knowledge Graphs in Manufacturing and Production: A Systematic Literature Review
• [cs.AI]Lévy walks derived from a Bayesian decision-making model in non-stationary environments
• [cs.AI]Open Problems in Cooperative AI
• [cs.AI]Planning From Pixels in Atari With Learned Symbolic Representations
• [cs.AI]Semantic Annotation for Tabular Data
• [cs.AI]Smart Mobility Ontology: Current Trends and Future Directions
• [cs.AI]Solving the Travelling Thief Problem based on Item Selection Weight and Reverse Order Allocation
• [cs.CL]A Lightweight Neural Model for Biomedical Entity Linking
• [cs.CL]A learning perspective on the emergence of abstractions: the curious case of phonemes
• [cs.CL]Building and Using Personal Knowledge Graph to Improve Suicidal Ideation Detection on Social Media
• [cs.CL]Building domain specific lexicon based on TikTok comment dataset
• [cs.CL]Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference
• [cs.CL]DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognition
• [cs.CL]Discovering New Intents with Deep Aligned Clustering
• [cs.CL]Exploring Thematic Coherence in Fake News
• [cs.CL]Exploring Transfer Learning For End-to-End Spoken Language Understanding
• [cs.CL]Focusing More on Conflicts with Mis-Predictions Helps Language Pre-Training
• [cs.CL]Improving Multilingual Neural Machine Translation For Low-Resource Languages: French-, English- Vietnamese
• [cs.CL]LIREx: Augmenting Language Inference with Relevant Explanation
• [cs.CL]Learning from the Best: Rationalizing Prediction by Adversarial Information Calibration
• [cs.CL]Multi-type Disentanglement without Adversarial Training
• [cs.CL]Multilingual Evidence Retrieval and Fact Verification to Combat Global Disinformation: The Power of Polyglotism
• [cs.CL]No Budget? Don’t Flex! Cost Consideration when Planning to Adopt NLP for Your Business
• [cs.CL]Pre-Training Transformers as Energy-Based Cloze Models
• [cs.CL]R$^2$-Net: Relation of Relation Learning Network for Sentence Semantic Matching
• [cs.CL]Show or Tell? Demonstration is More Robust to Changes in Shared Perception than Explanation
• [cs.CL]Using Meta-Knowledge Mined from Identifiers to Improve Intent Recognition in Neuro-Symbolic Algorithms
• [cs.CL]You Are What You Tweet: Profiling Users by Past Tweets to Improve Hate Speech Detection
• [cs.CR]A Hybrid Graph Neural Network Approach for Detecting PHP Vulnerabilities
• [cs.CR]Intrusion detection in computer systems by using artificial neural networks with Deep Learning approaches
• [cs.CR]Responsible Disclosure of Generative Models Using Scalable Fingerprinting
• [cs.CR]The Impact of Cyber Security Threats on the 2020 US Elections
• [cs.CR]Trex: Learning Execution Semantics from Micro-Traces for Binary Similarity
• [cs.CR]Verifiable Observation of Permissioned Ledgers
• [cs.CV]A Closer Look at the Robustness of Vision-and-Language Pre-trained Models
• [cs.CV]AdjointBackMap: Reconstructing Effective Decision Hypersurfaces from CNN Layers Using Adjoint Operators
• [cs.CV]Analysing the Direction of Emotional Influence in Nonverbal Dyadic Communication: A Facial-Expression Study
• [cs.CV]Attentional Local Contrast Networks for Infrared Small Target Detection
• [cs.CV]Automated system to measure Tandem Gait to assess executive functions in children
• [cs.CV]C2F-FWN: Coarse-to-Fine Flow Warping Network for Spatial-Temporal Consistent Motion Transfer
• [cs.CV]Canny-VO: Visual Odometry with RGB-D Cameras based on Geometric 3D-2D Edge Alignment
• [cs.CV]CompositeTasking: Understanding Images by Spatial Composition of Tasks
• [cs.CV]DECOR-GAN: 3D Shape Detailization by Conditional Refinement
• [cs.CV]Deep Learning to Segment Pelvic Bones: Large-scale CT Datasets and Baseline Models
• [cs.CV]Deep Reinforcement Learning of Graph Matching
• [cs.CV]Difficulty in estimating visual information from randomly sampled images
• [cs.CV]Domain Adaptive Object Detection via Feature Separation and Alignment
• [cs.CV]End-to-end Generative Floor-plan and Layout with Attributes and Relation Graph
• [cs.CV]Equalization Loss v2: A New Gradient Balance Approach for Long-tailed Object Detection
• [cs.CV]Event-based Motion Segmentation with Spatio-Temporal Graph Cuts
• [cs.CV]Exploiting Sample Uncertainty for Domain Adaptive Person Re-Identification
• [cs.CV]Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts
• [cs.CV]FoggySight: A Scheme for Facial Lookup Privacy
• [cs.CV]I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting
• [cs.CV]Joint Generative and Contrastive Learning for Unsupervised Person Re-identification
• [cs.CV]Latent Space Conditioning on Generative Adversarial Networks
• [cs.CV]Learning Continuous Image Representation with Local Implicit Image Function
• [cs.CV]Point Transformer
• [cs.CV]Pose Error Reduction for Focus Enhancement in Thermal Synthetic Aperture Visualization
• [cs.CV]Post-Hurricane Damage Assessment Using Satellite Imagery and Geolocation Features
• [cs.CV]Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT Slices
• [cs.CV]SID-NISM: A Self-supervised Low-light Image Enhancement Framework
• [cs.CV]Seeing Behind Objects for 3D Multi-Object Tracking in RGB-D Sequences
• [cs.CV]Self-Supervised Person Detection in 2D Range Data using a Calibrated Camera
• [cs.CV]SimuGAN: Unsupervised forward modeling and optimal design of a LIDAR Camera
• [cs.CV]Sketch Generation with Drawing Process Guided by Vector Flow and Grayscale
• [cs.CV]StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding
• [cs.CV]Temporal Graph Modeling for Skeleton-based Action Recognition
• [cs.CV]Towards Recognizing New Semantic Concepts in New Visual Domains
• [cs.CV]Training an Emotion Detection Classifier using Frames from a Mobile Therapeutic Game for Children with Developmental Disorders
• [cs.CV]Two-Stage Copy-Move Forgery Detection with Self Deep Matching and Proposal SuperGlue
• [cs.CV]Unsupervised Image Segmentation using Mutual Mean-Teaching
• [cs.CY]A Systematic Mapping Study in AIOps
• [cs.CY]An Agenda for Disinformation Research
• [cs.CY]Beyond kinetic harm and towards a dynamic conceptualization of cyberterrorism
• [cs.CY]Big Data
• [cs.CY]ColorShapeLinks: A Board Game AI Competition for Educators and Students
• [cs.CY]Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical Challenges
• [cs.CY]Green IT as a tool for design cloud-oriented sustainable learning environment of a higher education institution
• [cs.CY]Modernizing Data Control: Making Personal Digital Data Mutually Beneficial for Citizens and Industry
• [cs.DB]Graph integration of structured, semistructured and unstructured data for data journalism
• [cs.DC]Anytime Minibatch with Delayed Gradients
• [cs.DC]Causality is Graphically Simple
• [cs.DC]Computation Against a Neighbour
• [cs.DC]Container Orchestration on HPC Systems
• [cs.DC]Edge (of the Earth) Replication: Optimizing Content Delivery in Large LEO Satellite Communication Networks
• [cs.DS]On Avoiding the Union Bound When Answering Multiple Differentially Private Queries
• [cs.DS]Testing and reconstruction via decision trees
• [cs.DS]Try Before You Buy: A practical data purchasing algorithm for real-world data marketplaces
• [cs.HC]An Assessment of the Usability of Machine Learning Based Tools for the Security Operations Center
• [cs.HC]Personal Mental Health Navigator: Harnessing the Power of Data, Personal Models, and Health Cybernetics to Promote Psychological Well-being
• [cs.IR]Analyzing and Predicting Purchase Intent in E-commerce: Anonymous vs. Identified Customers
• [cs.IR]AutoDis: Automatic Discretization for Embedding Numerical Features in CTR Prediction
• [cs.IR]Information retrieval system for silte language using BM25 weighting
• [cs.IR]Query expansion with artificially generated texts
• [cs.IR]Scenario-aware and Mutual-based approach for Multi-scenario Recommendation in E-Commerce
• [cs.IR]Session-based k-NNs with Semantic Suggestions for Next-item Prediction
• [cs.IR]Weakly Supervised Label Smoothing
• [cs.IT]A Stackelberg Game Approach to Resource Allocation for IRS-aided Communications
• [cs.IT]Secure Degrees-of-Freedom of the MIMO X Channel with Delayed CSIT
• [cs.IT]Task Offloading for Large-Scale Asynchronous Mobile Edge Computing: An Index Policy Approach
• [cs.LG]A Deep Graph Neural Networks Architecture Design: From Global Pyramid-like Shrinkage Skeleton to Local Topology Link Rewiring
• [cs.LG]AIST: An Interpretable Attention-based Deep Learning Model for Crime Prediction
• [cs.LG]Accelerating Distributed Online Meta-Learning via Multi-Agent Collaboration under Limited Communication
• [cs.LG]Amazon SageMaker Autopilot: a white box AutoML solution at scale
• [cs.LG]Batch-Constrained Distributional Reinforcement Learning for Session-based Recommendation
• [cs.LG]BeBold: Exploration Beyond the Boundary of Explored Regions
• [cs.LG]Clustering Ensemble Meets Low-rank Tensor Approximation
• [cs.LG]Continuous Gesture Recognition from sEMG Sensor Data with Recurrent Neural Networks and Adversarial Domain Adaptation
• [cs.LG]Copula-based synthetic data generation for machine learning emulators in weather and climate: application to a simple radiation model
• [cs.LG]Distilling Optimal Neural Networks: Rapid Search in Diverse Spaces
• [cs.LG]Edge Entropy as an Indicator of the Effectiveness of GNNs over CNNs for Node Classification
• [cs.LG]Exacerbating Algorithmic Bias through Fairness Attacks
• [cs.LG]FedADC: Accelerated Federated Learning with Drift Control
• [cs.LG]Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings
• [cs.LG]Graph Neural Networks: Taxonomy, Advances and Trends
• [cs.LG]Hierarchical Graph Capsule Network
• [cs.LG]Inexact-ADMM based Federated Meta-Learning for Fast and Continual Edge Learning
• [cs.LG]Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks
• [cs.LG]Investigating ADR mechanisms with knowledge graph mining and explainable AI
• [cs.LG]Learning Accurate Long-term Dynamics for Model-based Reinforcement Learning
• [cs.LG]Learning Prediction Intervals for Model Performance
• [cs.LG]Learning to Run with Potential-Based Reward Shaping and Demonstrations from Video Data
• [cs.LG]MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification
• [cs.LG]Mitigating bias in calibration error estimation
• [cs.LG]More Industry-friendly: Federated Learning with High Efficient Design
• [cs.LG]Multi-Task Learning in Diffractive Deep Neural Networks via Hardware-Software Co-design
• [cs.LG]Multi-modal AsynDGAN: Learn From Distributed Medical Image Data without Sharing Private Information
• [cs.LG]On The Verification of Neural ODEs with Stochastic Guarantees
• [cs.LG]Personalized Federated Learning with First Order Model Optimization
• [cs.LG]Policy Manifold Search for Improving Diversity-based Neuroevolution
• [cs.LG]Predicting Generalization in Deep Learning via Metric Learning — PGDL Shared task
• [cs.LG]Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks
• [cs.LG]ReINTEL: A Multimodal Data Challenge for Responsible Information Identification on Social Network Sites
• [cs.LG]Robust Optimal Classification Trees under Noisy Labels
• [cs.LG]Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation
• [cs.LG]Squirrel: A Switching Hyperparameter Optimizer
• [cs.LG]Study on the Large Batch Size Training of Neural Networks Based on the Second Order Gradient
• [cs.LG]Time-Aware Tensor Decomposition for Missing Entry Prediction
• [cs.LG]Unsupervised Learning of Global Factors in Deep Generative Models
• [cs.LG]Using Spatio-temporal Deep Learning for Forecasting Demand and Supply-demand Gap in Ride-hailing System with Anonymized Spatial Adjacency Information
• [cs.LG]Using noise resilience for ranking generalization of deep neural networks
• [cs.LG]Wasserstein Contrastive Representation Distillation
• [cs.NE]Pareto Optimization for Subset Selection with Dynamic Partition Matroid Constraints
• [cs.NE]Physical deep learning based on optimal control of dynamical systems
• [cs.NE]Theoretical Analyses of Multi-Objective Evolutionary Algorithms on Multi-Modal Objectives
• [cs.NI]A Reinforcement Learning Formulation of the Lyapunov Optimization: Application to Edge Computing Systems with Queue Stability
• [cs.NI]Online Service Migration in Edge Computing with Incomplete Information: A Deep Recurrent Actor-Critic Method
• [cs.RO]A comparative evaluation of machine learning methods for robot navigation through human crowds
• [cs.RO]EffMoP: Efficient Motion Planning Based on Heuristic-Guided Motion Primitives Pruning and Path Optimization With Sparse-Banded Structure
• [cs.RO]Energy-Constrained Delivery of Goods with Drones Under Varying Wind Conditions
• [cs.RO]Multi-Modal Anomaly Detection for Unstructured and Uncertain Environments
• [cs.RO]Natural grasp intention recognition based on gaze fixation in human-robot interaction
• [cs.RO]Scalable and Safe Multi-Agent Motion Planning with Nonlinear Dynamics and Bounded Disturbances
• [cs.RO]Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems
• [cs.RO]Visually Grounding Instruction for History-Dependent Manipulation
• [cs.SI]Adversarial Permutation Guided Node Representations for Link Prediction
• [cs.SI]Analysing the Social Spread of Behaviour: Integrating Complex Contagions into Network Based Diffusions
• [cs.SI]Beyond pairwise network similarity: exploring Mediation and Suppression between networks
• [cs.SI]Data Trading with a Monopoly Social Network: Outcomes are Mostly Privacy Welfare Damaging
• [cs.SI]How the emotion’s type and intensity affect rumor spreading
• [cs.SI]Information Diffusion Prediction with Latent Factor Disentanglement
• [cs.SI]Network experimentation at scale
• [econ.EM]Exact Trend Control in Estimating Treatment Effects Using Panel Data with Heterogenous Trends
• [eess.IV]CUDA-Optimized real-time rendering of a Foveated Visual System
• [eess.IV]Cross-Cohort Generalizability of Deep and Conventional Machine Learning for MRI-based Diagnosis and Prediction of Alzheimer’s Disease
• [eess.IV]Evaluation of deep learning-based myocardial infarction quantification using Segment CMR software
• [eess.IV]Learning-Based Algorithms for Vessel Tracking: A Review
• [eess.IV]Learning-Based Quality Assessment for Image Super-Resolution
• [eess.IV]PGMAN: An Unsupervised Generative Multi-adversarial Network for Pan-sharpening
• [eess.SP]Secret Key Agreement with Physical Unclonable Functions: An Optimality Summary
• [eess.SP]User Coordination for Fast Beam Training in FDD Multi-User Massive MIMO
• [eess.SY]Aging Bandits: Regret Analysis and Order-Optimal Learning Algorithm for Wireless Networks with Stochastic Arrivals
• [gr-qc]Confluence of Artificial Intelligence and High Performance Computing for Accelerated, Scalable and Reproducible Gravitational Wave Detection
• [hep-ph]Jet tagging in the Lund plane with graph networks
• [math.PR]Change Detection: A functional analysis perspective
• [math.ST]Event History and Topological Data Analysis
• [math.ST]Limit distribution of the least square estimator with observations sampled at random times driven by standard Brownian motion
• [q-bio.GN]SimpleChrome: Encoding of Combinatorial Effects for Predicting Gene Expression
• [q-bio.PE]Disease Momentum: Estimating the Reproduction Number in the Presence of Superspreading
• [q-bio.QM]PANTHER: Pathway Augmented Nonnegative Tensor factorization for HighER-order feature learning
• [quant-ph]Programmable Quantum Annealers as Noisy Gibbs Samplers
• [stat.AP]Adaptive Generalized Logit-Normal Distributions for Wind Power Short-Term Forecasting
• [stat.AP]Group testing and PCR: a tale of charge value
• [stat.AP]Selection of multiple donor gauges via Graphical Lasso for estimation of daily streamflow time series
• [stat.AP]Trustworthy Online Marketplace Experimentation with Budget-split Design
• [stat.ME]Computation-free Nonparametric testing for Local and Global Spatial Autocorrelation with application to the Canadian Electorate
• [stat.ME]Effect of right censoring bias on survival analysis
• [stat.ME]Ensemble Kalman filter based Sequential Monte Carlo Sampler for sequential Bayesian inference
• [stat.ML]A connection between the pattern classification problem and the General Linear Model for statistical inference
• [stat.ML]On $O( \max {n_1, n_2 }\log ( \max { n_1, n_2 } n_3) )$ Sample Entries for $n_1 \times n_2 \times n_3$ Tensor Completion via Unitary Transformation
• [stat.ML]Online Learning Demands in Max-min Fairness
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• [astro-ph.IM]FemtoSats for Exploring Permanently Shadowed Regions on the Moon
Alvaro Diaz-Flores, José Fernández, Leonard Vance, Himangshu Kalita, Jekan Thangavelautham
http://arxiv.org/abs/2012.08651v1
• [cond-mat.mtrl-sci]TEMImageNet and AtomSegNet Deep Learning Training Library and Models for High-Precision Atom Segmentation, Localization, Denoising, and Super-resolution Processing of Atom-Resolution Scanning TEM Images
Ruoqian Lin, Rui Zhang, Chunyang Wang, Xiao-Qing Yang, Huolin L. Xin
http://arxiv.org/abs/2012.09093v1
• [cs.AI]A Memory-Augmented Neural Network Model of Abstract Rule Learning
Ishan Sinha, Taylor W. Webb, Jonathan D. Cohen
http://arxiv.org/abs/2012.07172v2
• [cs.AI]Bayes Meets Entailment and Prediction: Commonsense Reasoning with Non-monotonicity, Paraconsistency and Predictive Accuracy
Hiroyuki Kido, Keishi Okamoto
http://arxiv.org/abs/2012.08479v2
• [cs.AI]Communicative Message Passing for Inductive Relation Reasoning
Sijie Mai, Shuangjia Zheng, Yuedong Yang, Haifeng Hu
http://arxiv.org/abs/2012.08911v1
• [cs.AI]Grounding Artificial Intelligence in the Origins of Human Behavior
Eleni Nisioti, Clément Moulin-Frier
http://arxiv.org/abs/2012.08564v1
• [cs.AI]Knowledge Graphs in Manufacturing and Production: A Systematic Literature Review
Georg Buchgeher, David Gabauer, Jorge Martinez-Gil, Lisa Ehrlinger
http://arxiv.org/abs/2012.09049v1
• [cs.AI]Lévy walks derived from a Bayesian decision-making model in non-stationary environments
Shuji Shinohara, Nobuhito Manome, Yoshihiro Nakajima, Yukio Pegio Gunji, Toru Moriyama, Hiroshi Okamoto, Shunji Mitsuyoshi, Ung-il Chung
http://arxiv.org/abs/2012.08858v1
• [cs.AI]Open Problems in Cooperative AI
Allan Dafoe, Edward Hughes, Yoram Bachrach, Tantum Collins, Kevin R. McKee, Joel Z. Leibo, Kate Larson, Thore Graepel
http://arxiv.org/abs/2012.08630v1
• [cs.AI]Planning From Pixels in Atari With Learned Symbolic Representations
Andrea Dittadi, Frederik K. Drachmann, Thomas Bolander
http://arxiv.org/abs/2012.09126v1
• [cs.AI]Semantic Annotation for Tabular Data
Udayan Khurana, Sainyam Galhotra
http://arxiv.org/abs/2012.08594v1
• [cs.AI]Smart Mobility Ontology: Current Trends and Future Directions
Ali Yazdizadeh, Bilal Farooq
http://arxiv.org/abs/2012.08622v1
• [cs.AI]Solving the Travelling Thief Problem based on Item Selection Weight and Reverse Order Allocation
Lei Yang, Zitong Zhang, Xiaotian Jia, Peipei Kang, Wensheng Zhang, Dongya Wang
http://arxiv.org/abs/2012.08888v1
• [cs.CL]A Lightweight Neural Model for Biomedical Entity Linking
Lihu Chen, Gaël Varoquaux, Fabian M. Suchanek
http://arxiv.org/abs/2012.08844v1
• [cs.CL]A learning perspective on the emergence of abstractions: the curious case of phonemes
Petar Milin, Benjamin V. Tucker, Dagmar Divjak
http://arxiv.org/abs/2012.07499v2
• [cs.CL]Building and Using Personal Knowledge Graph to Improve Suicidal Ideation Detection on Social Media
Lei Cao, Huijun Zhang, Ling Feng
http://arxiv.org/abs/2012.09123v1
• [cs.CL]Building domain specific lexicon based on TikTok comment dataset
Hao Jiaxiang
http://arxiv.org/abs/2012.08773v1
• [cs.CL]Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference
Yichao Zhou, Yu Yan, Rujun Han, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping, Wei Wang
http://arxiv.org/abs/2012.08790v1
• [cs.CL]DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognition
Weizhou Shen, Junqing Chen, Xiaojun Quan, Zhixian Xie
http://arxiv.org/abs/2012.08695v1
• [cs.CL]Discovering New Intents with Deep Aligned Clustering
Hanlei Zhang, Hua Xu, Ting-En Lin, Rui Lv
http://arxiv.org/abs/2012.08987v1
• [cs.CL]Exploring Thematic Coherence in Fake News
Martins Samuel Dogo, Deepak P, Anna Jurek-Loughrey
http://arxiv.org/abs/2012.09118v1
• [cs.CL]Exploring Transfer Learning For End-to-End Spoken Language Understanding
Subendhu Rongali, Beiye Liu, Liwei Cai, Konstantine Arkoudas, Chengwei Su, Wael Hamza
http://arxiv.org/abs/2012.08549v1
• [cs.CL]Focusing More on Conflicts with Mis-Predictions Helps Language Pre-Training
Chen Xing, Wencong Xiao, Yong Li, Wei Lin
http://arxiv.org/abs/2012.08789v1
• [cs.CL]Improving Multilingual Neural Machine Translation For Low-Resource Languages: French-, English- Vietnamese
Thi-Vinh Ngo, Phuong-Thai Nguyen, Thanh-Le Ha, Khac-Quy Dinh, Le-Minh Nguyen
http://arxiv.org/abs/2012.08743v1
• [cs.CL]LIREx: Augmenting Language Inference with Relevant Explanation
Xinyan Zhao, V. G. Vinod Vydiswaran
http://arxiv.org/abs/2012.09157v1
• [cs.CL]Learning from the Best: Rationalizing Prediction by Adversarial Information Calibration
Lei Sha, Oana-Maria Camburu, Thomas Lukasiewicz
http://arxiv.org/abs/2012.08884v1
• [cs.CL]Multi-type Disentanglement without Adversarial Training
Lei Sha, Thomas Lukasiewicz
http://arxiv.org/abs/2012.08883v1
• [cs.CL]Multilingual Evidence Retrieval and Fact Verification to Combat Global Disinformation: The Power of Polyglotism
Denisa A. O. Roberts
http://arxiv.org/abs/2012.08919v1
• [cs.CL]No Budget? Don’t Flex! Cost Consideration when Planning to Adopt NLP for Your Business
Made Nindyatama Nityasya, Haryo Akbarianto Wibowo, Radityo Eko Prasojo, Alham Fikri Aji
http://arxiv.org/abs/2012.08958v1
• [cs.CL]Pre-Training Transformers as Energy-Based Cloze Models
Kevin Clark, Minh-Thang Luong, Quoc V. Le, Christopher D. Manning
http://arxiv.org/abs/2012.08561v1
• [cs.CL]R$^2$-Net: Relation of Relation Learning Network for Sentence Semantic Matching
Kun Zhang, Le Wu, Guangyi Lv, Meng Wang, Enhong Chen, Shulan Ruan
http://arxiv.org/abs/2012.08920v1
• [cs.CL]Show or Tell? Demonstration is More Robust to Changes in Shared Perception than Explanation
Theodore R. Sumers, Mark K. Ho, Thomas L. Griffiths
http://arxiv.org/abs/2012.09035v1
• [cs.CL]Using Meta-Knowledge Mined from Identifiers to Improve Intent Recognition in Neuro-Symbolic Algorithms
Claudio Pinhanez, Paulo Cavalin, Victor Ribeiro, Heloisa Candello, Julio Nogima, Ana Appel, Mauro Pichiliani, Maira Gatti de Bayser, Melina Guerra, Henrique Ferreira, Gabriel Malfatti
http://arxiv.org/abs/2012.09005v1
• [cs.CL]You Are What You Tweet: Profiling Users by Past Tweets to Improve Hate Speech Detection
Prateek Chaudhry, Matthew Lease
http://arxiv.org/abs/2012.09090v1
• [cs.CR]A Hybrid Graph Neural Network Approach for Detecting PHP Vulnerabilities
Rishi Rabheru, Hazim Hanif, Sergio Maffeis
http://arxiv.org/abs/2012.08835v1
• [cs.CR]Intrusion detection in computer systems by using artificial neural networks with Deep Learning approaches
Sergio Hidalgo-Espinoza, Kevin Chamorro-Cupueran, Oscar Chang-Tortolero
http://arxiv.org/abs/2012.08559v1
• [cs.CR]Responsible Disclosure of Generative Models Using Scalable Fingerprinting
Ning Yu, Vladislav Skripniuk, Dingfan Chen, Larry Davis, Mario Fritz
http://arxiv.org/abs/2012.08726v1
• [cs.CR]The Impact of Cyber Security Threats on the 2020 US Elections
Nicholas Stedmon
http://arxiv.org/abs/2012.08968v1
• [cs.CR]Trex: Learning Execution Semantics from Micro-Traces for Binary Similarity
Kexin Pei, Zhou Xuan, Junfeng Yang, Suman Jana, Baishakhi Ray
http://arxiv.org/abs/2012.08680v1
• [cs.CR]Verifiable Observation of Permissioned Ledgers
Ermyas Abebe, Yining Hu, Allison Irvin, Dileban Karunamoorthy, Vinayaka Pandit, Venkatraman Ramakrishna, Jiangshan Yu
http://arxiv.org/abs/2012.07339v2
• [cs.CV]A Closer Look at the Robustness of Vision-and-Language Pre-trained Models
Linjie Li, Zhe Gan, Jingjing Liu
http://arxiv.org/abs/2012.08673v1
• [cs.CV]AdjointBackMap: Reconstructing Effective Decision Hypersurfaces from CNN Layers Using Adjoint Operators
Qing Wan, Yoonsuck Choe
http://arxiv.org/abs/2012.09020v1
• [cs.CV]Analysing the Direction of Emotional Influence in Nonverbal Dyadic Communication: A Facial-Expression Study
Maha Shadaydeh, Lea Mueller, Dana Schneider, Martin Thuemmel, Thomas Kessler, Joachim Denzler
http://arxiv.org/abs/2012.08780v1
• [cs.CV]Attentional Local Contrast Networks for Infrared Small Target Detection
Yimian Dai, Yiquan Wu, Fei Zhou, Kobus Barnard
http://arxiv.org/abs/2012.08573v1
• [cs.CV]Automated system to measure Tandem Gait to assess executive functions in children
Mohammad Zaki Zadeh, Ashwin Ramesh Babu, Ashish Jaiswal, Maria Kyrarini, Fillia Makedon
http://arxiv.org/abs/2012.08662v1
• [cs.CV]C2F-FWN: Coarse-to-Fine Flow Warping Network for Spatial-Temporal Consistent Motion Transfer
Dongxu Wei, Xiaowei Xu, Haibin Shen, Kejie Huang
http://arxiv.org/abs/2012.08976v1
• [cs.CV]Canny-VO: Visual Odometry with RGB-D Cameras based on Geometric 3D-2D Edge Alignment
Yi Zhou, Hongdong Li, Laurent Kneip
http://arxiv.org/abs/2012.08228v2
• [cs.CV]CompositeTasking: Understanding Images by Spatial Composition of Tasks
Nikola Popovic, Danda Pani Paudel, Thomas Probst, Guolei Sun, Luc Van Gool
http://arxiv.org/abs/2012.09030v1
• [cs.CV]DECOR-GAN: 3D Shape Detailization by Conditional Refinement
Zhiqin Chen, Vladimir Kim, Matthew Fisher, Noam Aigerman, Hao Zhang, Siddhartha Chaudhuri
http://arxiv.org/abs/2012.09159v1
• [cs.CV]Deep Learning to Segment Pelvic Bones: Large-scale CT Datasets and Baseline Models
Pengbo Liu, Hu Han, Yuanqi Du, Heqin Zhu, Yinhao Li, Feng Gu, Honghu Xiao, Jun Li, Chunpeng Zhao, Li Xiao, Xinbao Wu, S. Kevin Zhou
http://arxiv.org/abs/2012.08721v1
• [cs.CV]Deep Reinforcement Learning of Graph Matching
Chang Liu, Runzhong Wang, Zetian Jiang, Junchi Yan
http://arxiv.org/abs/2012.08950v1
• [cs.CV]Difficulty in estimating visual information from randomly sampled images
Masaki Kitayama, Hitoshi Kiya
http://arxiv.org/abs/2012.08751v1
• [cs.CV]Domain Adaptive Object Detection via Feature Separation and Alignment
Chengyang Liang, Zixiang Zhao, Junmin Liu, Jiangshe Zhang
http://arxiv.org/abs/2012.08689v1
• [cs.CV]End-to-end Generative Floor-plan and Layout with Attributes and Relation Graph
Xinhan Di, Pengqian Yu, Danfeng Yang, Hong Zhu, Changyu Sun, YinDong Liu
http://arxiv.org/abs/2012.08514v1
• [cs.CV]Equalization Loss v2: A New Gradient Balance Approach for Long-tailed Object Detection
Jingru Tan, Xin Lu, Gang Zhang, Changqing Yin, Quanquan Li
http://arxiv.org/abs/2012.08548v1
• [cs.CV]Event-based Motion Segmentation with Spatio-Temporal Graph Cuts
Yi Zhou, Guillermo Gallego, Xiuyuan Lu, Siqi Liu, Shaojie Shen
http://arxiv.org/abs/2012.08730v1
• [cs.CV]Exploiting Sample Uncertainty for Domain Adaptive Person Re-Identification
Kecheng Zheng, Cuiling Lan, Wenjun Zeng, Zhizheng Zhan, Zheng-Jun Zha
http://arxiv.org/abs/2012.08733v1
• [cs.CV]Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts
Ji Hou, Benjamin Graham, Matthias Nießner, Saining Xie
http://arxiv.org/abs/2012.09165v1
• [cs.CV]FoggySight: A Scheme for Facial Lookup Privacy
Ivan Evtimov, Pascal Sturmfels, Tadayoshi Kohno
http://arxiv.org/abs/2012.08588v1
• [cs.CV]I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting
Jiahua Dong, Yang Cong, Gan Sun, Bingtao Ma, Lichen Wang
http://arxiv.org/abs/2012.09014v1
• [cs.CV]Joint Generative and Contrastive Learning for Unsupervised Person Re-identification
Hao Chen, Yaohui Wang, Benoit Lagadec, Antitza Dantcheva, Francois Bremond
http://arxiv.org/abs/2012.09071v1
• [cs.CV]Latent Space Conditioning on Generative Adversarial Networks
Ricard Durall, Kalun Ho, Franz-Josef Pfreundt, Janis Keuper
http://arxiv.org/abs/2012.08803v1
• [cs.CV]Learning Continuous Image Representation with Local Implicit Image Function
Yinbo Chen, Sifei Liu, Xiaolong Wang
http://arxiv.org/abs/2012.09161v1
• [cs.CV]Point Transformer
Hengshuang Zhao, Li Jiang, Jiaya Jia, Philip Torr, Vladlen Koltun
http://arxiv.org/abs/2012.09164v1
• [cs.CV]Pose Error Reduction for Focus Enhancement in Thermal Synthetic Aperture Visualization
Indrajit Kurmi, David C. Schedl, Oliver Bimber
http://arxiv.org/abs/2012.08606v1
• [cs.CV]Post-Hurricane Damage Assessment Using Satellite Imagery and Geolocation Features
Quoc Dung Cao, Youngjun Choe
http://arxiv.org/abs/2012.08624v1
• [cs.CV]Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT Slices
Shu Zhang, Jincheng Xu, Yu-Chun Chen, Jiechao Ma, Zihao Li, Yizhou Wang, Yizhou Yu
http://arxiv.org/abs/2012.08770v1
• [cs.CV]SID-NISM: A Self-supervised Low-light Image Enhancement Framework
Lijun Zhang, Xiao Liu, Erik Learned-Miller, Hui Guan
http://arxiv.org/abs/2012.08707v1
• [cs.CV]Seeing Behind Objects for 3D Multi-Object Tracking in RGB-D Sequences
Norman Müller, Yu-Shiang Wong, Niloy J. Mitra, Angela Dai, Matthias Nießner
http://arxiv.org/abs/2012.08197v2
• [cs.CV]Self-Supervised Person Detection in 2D Range Data using a Calibrated Camera
Dan Jia, Mats Steinweg, Alexander Hermans, Bastian Leibe
http://arxiv.org/abs/2012.08890v1
• [cs.CV]SimuGAN: Unsupervised forward modeling and optimal design of a LIDAR Camera
Nir Diamant, Tal Mund, Ohad Menashe, Aviad Zabatani, Alex M. Bronstein
http://arxiv.org/abs/2012.08951v1
• [cs.CV]Sketch Generation with Drawing Process Guided by Vector Flow and Grayscale
Zhengyan Tong, Xuanhong Chen, Bingbing Ni, Xiaohang Wang
http://arxiv.org/abs/2012.09004v1
• [cs.CV]StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding
Jinshan Zeng, Qi Chen, Yunxin Liu, Mingwen Wang, Yuan Yao
http://arxiv.org/abs/2012.08687v1
• [cs.CV]Temporal Graph Modeling for Skeleton-based Action Recognition
Jianan Li, Xuemei Xie, Zhifu Zhao, Yuhan Cao, Qingzhe Pan, Guangming Shi
http://arxiv.org/abs/2012.08804v1
• [cs.CV]Towards Recognizing New Semantic Concepts in New Visual Domains
Massimiliano Mancini
http://arxiv.org/abs/2012.09058v1
• [cs.CV]Training an Emotion Detection Classifier using Frames from a Mobile Therapeutic Game for Children with Developmental Disorders
Peter Washington, Haik Kalantarian, Jack Kent, Arman Husic, Aaron Kline, Emilie Leblanc, Cathy Hou, Cezmi Mutlu, Kaitlyn Dunlap, Yordan Penev, Maya Varma, Nate Stockham, Brianna Chrisman, Kelley Paskov, Min Woo Sun, Jae-Yoon Jung, Catalin Voss, Nick Haber, Dennis P. Wall
http://arxiv.org/abs/2012.08678v1
• [cs.CV]Two-Stage Copy-Move Forgery Detection with Self Deep Matching and Proposal SuperGlue
Yaqi Liu, Chao Xia, Xiaobin Zhu, Shengwei Xu
http://arxiv.org/abs/2012.08697v1
• [cs.CV]Unsupervised Image Segmentation using Mutual Mean-Teaching
Zhichao Wu, Lei Guo, Hao Zhang, Dan Xu
http://arxiv.org/abs/2012.08922v1
• [cs.CY]A Systematic Mapping Study in AIOps
Paolo Notaro, Jorge Cardoso, Michael Gerndt
http://arxiv.org/abs/2012.09108v1
• [cs.CY]An Agenda for Disinformation Research
Nadya Bliss, Elizabeth Bradley, Joshua Garland, Filippo Menczer, Scott W. Ruston, Kate Starbird, Chris Wiggins
http://arxiv.org/abs/2012.08572v1
• [cs.CY]Beyond kinetic harm and towards a dynamic conceptualization of cyberterrorism
Vince J. Straub
http://arxiv.org/abs/2012.09056v1
• [cs.CY]Big Data
Andreas L Opdahl, Vimala Nunavath
http://arxiv.org/abs/2012.09109v1
• [cs.CY]ColorShapeLinks: A Board Game AI Competition for Educators and Students
Nuno Fachada
http://arxiv.org/abs/2012.09015v1
• [cs.CY]Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical Challenges
Kashif Ahmad, Majdi Maabreh, Mohamed Ghaly, Khalil Khan, Junaid Qadir, Ala Al-Fuqaha
http://arxiv.org/abs/2012.09110v1
• [cs.CY]Green IT as a tool for design cloud-oriented sustainable learning environment of a higher education institution
Tetiana Vakaliuk, Dmitry Antoniuk, Andrii Morozov, Mariia Medvedieva, Mykhailo Medvediev
http://arxiv.org/abs/2012.07744v1
• [cs.CY]Modernizing Data Control: Making Personal Digital Data Mutually Beneficial for Citizens and Industry
Sujata Banerjee, Yiling Chen, Kobbi Nissim, David Parkes, Katie Siek, Lauren Wilcox
http://arxiv.org/abs/2012.08571v1
• [cs.DB]Graph integration of structured, semistructured and unstructured data for data journalism
Angelos-Christos Anadiotis, Oana Balalau, Catarina Conceicao, Helena Galhardas, Mhd Yamen Haddad, Ioana Manolescu, Tayeb Merabti, Jingmao You
http://arxiv.org/abs/2012.08830v1
• [cs.DC]Anytime Minibatch with Delayed Gradients
Haider Al-Lawati, Stark C. Draper
http://arxiv.org/abs/2012.08616v1
• [cs.DC]Causality is Graphically Simple
Carlos Baquero
http://arxiv.org/abs/2012.09086v1
• [cs.DC]Computation Against a Neighbour
Giorgio Audrito, Roberto Casadei, Ferruccio Damiani, Mirko Viroli
http://arxiv.org/abs/2012.08626v1
• [cs.DC]Container Orchestration on HPC Systems
Naweiluo Zhou, Yiannis Georgiou, Li Zhong, Huan Zhou, Marcin Pospieszny
http://arxiv.org/abs/2012.08866v1
• [cs.DC]Edge (of the Earth) Replication: Optimizing Content Delivery in Large LEO Satellite Communication Networks
Tobias Pfandzelter, David Bermbach
http://arxiv.org/abs/2012.08979v1
• [cs.DS]On Avoiding the Union Bound When Answering Multiple Differentially Private Queries
Badih Ghazi, Ravi Kumar, Pasin Manurangsi
http://arxiv.org/abs/2012.09116v1
• [cs.DS]Testing and reconstruction via decision trees
Guy Blanc, Jane Lange, Li-Yang Tan
http://arxiv.org/abs/2012.08735v1
• [cs.DS]Try Before You Buy: A practical data purchasing algorithm for real-world data marketplaces
Santiago Andrés Azcoitia, Nikolaos Laoutaris
http://arxiv.org/abs/2012.08874v1
• [cs.HC]An Assessment of the Usability of Machine Learning Based Tools for the Security Operations Center
Sean Oesch, Robert Bridges, Jared Smith, Justin Beaver, John Goodall, Kelly Huffer, Craig Miles, Dan Scofield
http://arxiv.org/abs/2012.09013v1
• [cs.HC]Personal Mental Health Navigator: Harnessing the Power of Data, Personal Models, and Health Cybernetics to Promote Psychological Well-being
Amir M. Rahmani, Jocelyn Lai, Salar Jafarlou, Asal Yunusova, Alex. P. Rivera, Sina Labbaf, Sirui Hu, Arman Anzanpour, Nikil Dutt, Ramesh Jain, Jessica L. Borelli
http://arxiv.org/abs/2012.09131v1
• [cs.IR]Analyzing and Predicting Purchase Intent in E-commerce: Anonymous vs. Identified Customers
Mariya Hendriksen, Ernst Kuiper, Pim Nauts, Sebastian Schelter, Maarten de Rijke
http://arxiv.org/abs/2012.08777v1
• [cs.IR]AutoDis: Automatic Discretization for Embedding Numerical Features in CTR Prediction
Huifeng Guo, Bo Chen, Ruiming Tang, Zhenguo Li, Xiuqiang He
http://arxiv.org/abs/2012.08986v1
• [cs.IR]Information retrieval system for silte language using BM25 weighting
Abdulmalik Johar
http://arxiv.org/abs/2012.08907v1
• [cs.IR]Query expansion with artificially generated texts
Vincent Claveau
http://arxiv.org/abs/2012.08787v1
• [cs.IR]Scenario-aware and Mutual-based approach for Multi-scenario Recommendation in E-Commerce
Yuting Chen, Yanshi Wang, Yabo Ni, An-Xiang Zeng, Lanfen Lin
http://arxiv.org/abs/2012.08952v1
• [cs.IR]Session-based k-NNs with Semantic Suggestions for Next-item Prediction
Miroslav Rac, Michal Kompan, Maria Bielikova
http://arxiv.org/abs/2012.08793v1
• [cs.IR]Weakly Supervised Label Smoothing
Gustavo Penha, Claudia Hauff
http://arxiv.org/abs/2012.08575v1
• [cs.IT]A Stackelberg Game Approach to Resource Allocation for IRS-aided Communications
Yulan Gao, Chao Yong, Zehui Xiong, Dusit Niyato, Yue Xiao, Jun Zhao
http://arxiv.org/abs/2012.08989v1
• [cs.IT]Secure Degrees-of-Freedom of the MIMO X Channel with Delayed CSIT
Tong Zhang, Rui Wang
http://arxiv.org/abs/2012.08980v1
• [cs.IT]Task Offloading for Large-Scale Asynchronous Mobile Edge Computing: An Index Policy Approach
Yizhen Xu, Peng Cheng, Zhuo Chen, Ming Ding, Branka Vucetic, Yonghui Li
http://arxiv.org/abs/2012.08718v1
• [cs.LG]A Deep Graph Neural Networks Architecture Design: From Global Pyramid-like Shrinkage Skeleton to Local Topology Link Rewiring
Gege Zhang
http://arxiv.org/abs/2012.08717v1
• [cs.LG]AIST: An Interpretable Attention-based Deep Learning Model for Crime Prediction
Yeasir Rayhan, Tanzima Hashem
http://arxiv.org/abs/2012.08713v1
• [cs.LG]Accelerating Distributed Online Meta-Learning via Multi-Agent Collaboration under Limited Communication
Sen Lin, Mehmet Dedeoglu, Junshan Zhang
http://arxiv.org/abs/2012.08660v1
• [cs.LG]Amazon SageMaker Autopilot: a white box AutoML solution at scale
Piali Das, Valerio Perrone, Nikita Ivkin, Tanya Bansal, Zohar Karnin, Huibin Shen, Iaroslav Shcherbatyi, Yotam Elor, Wilton Wu, Aida Zolic, Thibaut Lienart, Alex Tang, Amr Ahmed, Jean Baptiste Faddoul, Rodolphe Jenatton, Fela Winkelmolen, Philip Gautier, Leo Dirac, Andre Perunicic, Miroslav Miladinovic, Giovanni Zappella, Cédric Archambeau, Matthias Seeger, Bhaskar Dutt, Laurence Rouesnel
http://arxiv.org/abs/2012.08483v2
• [cs.LG]Batch-Constrained Distributional Reinforcement Learning for Session-based Recommendation
Diksha Garg, Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
http://arxiv.org/abs/2012.08984v1
• [cs.LG]BeBold: Exploration Beyond the Boundary of Explored Regions
Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E. Gonzalez, Yuandong Tian
http://arxiv.org/abs/2012.08621v1
• [cs.LG]Clustering Ensemble Meets Low-rank Tensor Approximation
Yuheng Jia, Hui Liu, Junhui Hou, Qingfu Zhang
http://arxiv.org/abs/2012.08916v1
• [cs.LG]Continuous Gesture Recognition from sEMG Sensor Data with Recurrent Neural Networks and Adversarial Domain Adaptation
Ivan Sosin, Daniel Kudenko, Aleksei Shpilman
http://arxiv.org/abs/2012.08816v1
• [cs.LG]Copula-based synthetic data generation for machine learning emulators in weather and climate: application to a simple radiation model
David Meyer, Thomas Nagler, Robin J. Hogan
http://arxiv.org/abs/2012.09037v1
• [cs.LG]Distilling Optimal Neural Networks: Rapid Search in Diverse Spaces
Bert Moons, Parham Noorzad, Andrii Skliar, Giovanni Mariani, Dushyant Mehta, Chris Lott, Tijmen Blankevoort
http://arxiv.org/abs/2012.08859v1
• [cs.LG]Edge Entropy as an Indicator of the Effectiveness of GNNs over CNNs for Node Classification
Lavender Yao Jiang, John Shi, Mark Cheung, Oren Wright, José M. F. Moura
http://arxiv.org/abs/2012.08698v1
• [cs.LG]Exacerbating Algorithmic Bias through Fairness Attacks
Ninareh Mehrabi, Muhammad Naveed, Fred Morstatter, Aram Galstyan
http://arxiv.org/abs/2012.08723v1
• [cs.LG]FedADC: Accelerated Federated Learning with Drift Control
Emre Ozfatura, Kerem Ozfatura, Deniz Gunduz
http://arxiv.org/abs/2012.09102v1
• [cs.LG]Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings
Qipeng Guo, Zhijing Jin, Ziyu Wang, Xipeng Qiu, Weinan Zhang, Jun Zhu, Zheng Zhang, David Wipf
http://arxiv.org/abs/2012.07412v2
• [cs.LG]Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou, Haixia Zheng, Xin Huang
http://arxiv.org/abs/2012.08752v1
• [cs.LG]Hierarchical Graph Capsule Network
Jinyu Yang, Peilin Zhao, Yu Rong, Chaochao Yan, Chunyuan Li, Hehuan Ma, Junzhou Huang
http://arxiv.org/abs/2012.08734v1
• [cs.LG]Inexact-ADMM based Federated Meta-Learning for Fast and Continual Edge Learning
Sheng Yue, Ju Ren, Jiang Xin, Sen Lin, Junshan Zhang
http://arxiv.org/abs/2012.08677v1
• [cs.LG]Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks
Yuhang Yao, Carlee Joe-Wong
http://arxiv.org/abs/2012.08740v1
• [cs.LG]Investigating ADR mechanisms with knowledge graph mining and explainable AI
Emmanuel Bresso, Pierre Monnin, Cédric Bousquet, François-Elie Calvier, Ndeye-Coumba Ndiaye, Nadine Petitpain, Malika Smaïl-Tabbone, Adrien Coulet
http://arxiv.org/abs/2012.09077v1
• [cs.LG]Learning Accurate Long-term Dynamics for Model-based Reinforcement Learning
Nathan O. Lambert, Albert Wilcox, Howard Zhang, Kristofer S. J. Pister, Roberto Calandra
http://arxiv.org/abs/2012.09156v1
• [cs.LG]Learning Prediction Intervals for Model Performance
Benjamin Elder, Matthew Arnold, Anupama Murthi, Jiri Navratil
http://arxiv.org/abs/2012.08625v1
• [cs.LG]Learning to Run with Potential-Based Reward Shaping and Demonstrations from Video Data
Aleksandra Malysheva, Daniel Kudenko, Aleksei Shpilman
http://arxiv.org/abs/2012.08824v1
• [cs.LG]MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification
Angus Dempster, Daniel F. Schmidt, Geoffrey I. Webb
http://arxiv.org/abs/2012.08791v1
• [cs.LG]Mitigating bias in calibration error estimation
Rebecca Roelofs, Nicholas Cain, Jonathon Shlens, Michael C. Mozer
http://arxiv.org/abs/2012.08668v1
• [cs.LG]More Industry-friendly: Federated Learning with High Efficient Design
Dingwei Li, Qinglong Chang, Lixue Pang, Yanfang Zhang, Xudong Sun, Jikun Ding, Liang Zhang
http://arxiv.org/abs/2012.08809v1
• [cs.LG]Multi-Task Learning in Diffractive Deep Neural Networks via Hardware-Software Co-design
Yingjie Li, Ruiyang Chen, Berardi Sensale Rodriguez, Weilu Gao, Cunxi Yu
http://arxiv.org/abs/2012.08906v1
• [cs.LG]Multi-modal AsynDGAN: Learn From Distributed Medical Image Data without Sharing Private Information
Qi Chang, Zhennan Yan, Lohendran Baskaran, Hui Qu, Yikai Zhang, Tong Zhang, Shaoting Zhang, Dimitris N. Metaxas
http://arxiv.org/abs/2012.08604v1
• [cs.LG]On The Verification of Neural ODEs with Stochastic Guarantees
Sophie Gruenbacher, Ramin Hasani, Mathias Lechner, Jacek Cyranka, Scott A. Smolka, Radu Grosu
http://arxiv.org/abs/2012.08863v1
• [cs.LG]Personalized Federated Learning with First Order Model Optimization
Michael Zhang, Karan Sapra, Sanja Fidler, Serena Yeung, Jose M. Alvarez
http://arxiv.org/abs/2012.08565v1
• [cs.LG]Policy Manifold Search for Improving Diversity-based Neuroevolution
Nemanja Rakicevic, Antoine Cully, Petar Kormushev
http://arxiv.org/abs/2012.08676v1
• [cs.LG]Predicting Generalization in Deep Learning via Metric Learning — PGDL Shared task
Sebastian Mežnar, Blaž Škrlj
http://arxiv.org/abs/2012.09117v1
• [cs.LG]Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks
Xiangyu Chang, Yingcong Li, Samet Oymak, Christos Thrampoulidis
http://arxiv.org/abs/2012.08749v1
• [cs.LG]ReINTEL: A Multimodal Data Challenge for Responsible Information Identification on Social Network Sites
Duc-Trong Le, Xuan-Son Vu, Nhu-Dung To, Huu-Quang Nguyen, Thuy-Trinh Nguyen, Linh Le, Anh-Tuan Nguyen, Minh-Duc Hoang, Nghia Le, Huyen Nguyen, Hoang D. Nguyen
http://arxiv.org/abs/2012.08895v1
• [cs.LG]Robust Optimal Classification Trees under Noisy Labels
Víctor Blanco, Alberto Japón, Justo Puerto
http://arxiv.org/abs/2012.08560v1
• [cs.LG]Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation
Chaochao Lu, Biwei Huang, Ke Wang, José Miguel Hernández-Lobato, Kun Zhang, Bernhard Schölkopf
http://arxiv.org/abs/2012.09092v1
• [cs.LG]Squirrel: A Switching Hyperparameter Optimizer
Noor Awad, Gresa Shala, Difan Deng, Neeratyoy Mallik, Matthias Feurer, Katharina Eggensperger, Andre’ Biedenkapp, Diederick Vermetten, Hao Wang, Carola Doerr, Marius Lindauer, Frank Hutter
http://arxiv.org/abs/2012.08180v2
• [cs.LG]Study on the Large Batch Size Training of Neural Networks Based on the Second Order Gradient
Fengli Gao, Huicai Zhong
http://arxiv.org/abs/2012.08795v1
• [cs.LG]Time-Aware Tensor Decomposition for Missing Entry Prediction
Dawon Ahn, Jun-Gi Jang, U Kang
http://arxiv.org/abs/2012.08855v1
• [cs.LG]Unsupervised Learning of Global Factors in Deep Generative Models
Ignacio Peis, Pablo M. Olmos, Antonio Artés-Rodríguez
http://arxiv.org/abs/2012.08234v2
• [cs.LG]Using Spatio-temporal Deep Learning for Forecasting Demand and Supply-demand Gap in Ride-hailing System with Anonymized Spatial Adjacency Information
M. H. Rahman, S. M. Rifaat
http://arxiv.org/abs/2012.08868v1
• [cs.LG]Using noise resilience for ranking generalization of deep neural networks
Depen Morwani, Rahul Vashisht, Harish G. Ramaswamy
http://arxiv.org/abs/2012.08854v1
• [cs.LG]Wasserstein Contrastive Representation Distillation
Liqun Chen, Zhe Gan, Dong Wang, Jingjing Liu, Ricardo Henao, Lawrence Carin
http://arxiv.org/abs/2012.08674v1
• [cs.NE]Pareto Optimization for Subset Selection with Dynamic Partition Matroid Constraints
Anh Viet Do, Frank Neumann
http://arxiv.org/abs/2012.08738v1
• [cs.NE]Physical deep learning based on optimal control of dynamical systems
Genki Furuhata, Tomoaki Niiyama, Satoshi Sunada
http://arxiv.org/abs/2012.08761v1
• [cs.NE]Theoretical Analyses of Multi-Objective Evolutionary Algorithms on Multi-Modal Objectives
Benjamin Doerr, Weijie Zheng
http://arxiv.org/abs/2012.07231v2
• [cs.NI]A Reinforcement Learning Formulation of the Lyapunov Optimization: Application to Edge Computing Systems with Queue Stability
Sohee Bae, Seungyul Han, Youngchul Sung
http://arxiv.org/abs/2012.07279v2
• [cs.NI]Online Service Migration in Edge Computing with Incomplete Information: A Deep Recurrent Actor-Critic Method
Jin Wang, Jia Hu, Geyong Min
http://arxiv.org/abs/2012.08679v1
• [cs.RO]A comparative evaluation of machine learning methods for robot navigation through human crowds
Anastasia Gaydashenko, Daniel Kudenko, Aleksei Shpilman
http://arxiv.org/abs/2012.08822v1
• [cs.RO]EffMoP: Efficient Motion Planning Based on Heuristic-Guided Motion Primitives Pruning and Path Optimization With Sparse-Banded Structure
Jian Wen, Xuebo Zhang, Haiming Gao, Jing Yuan, Yongchun Fang
http://arxiv.org/abs/2012.08892v1
• [cs.RO]Energy-Constrained Delivery of Goods with Drones Under Varying Wind Conditions
Francesco Betti Sorbelli, Federico Corè, Sajal K. Das, Cristina M. Pinotti
http://arxiv.org/abs/2012.08602v1
• [cs.RO]Multi-Modal Anomaly Detection for Unstructured and Uncertain Environments
Tianchen Ji, Sri Theja Vuppala, Girish Chowdhary, Katherine Driggs-Campbell
http://arxiv.org/abs/2012.08637v1
• [cs.RO]Natural grasp intention recognition based on gaze fixation in human-robot interaction
Bo Yang, Jian Huang, Xiaolong Li, Xinxing Chen, Caihua Xiong, Yasuhisa Hasegawa
http://arxiv.org/abs/2012.08703v1
• [cs.RO]Scalable and Safe Multi-Agent Motion Planning with Nonlinear Dynamics and Bounded Disturbances
Jingkai Chen, Jiaoyang Li, Chuchu Fan, Brian Williams
http://arxiv.org/abs/2012.09052v1
• [cs.RO]Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems
Yuzhe Ma, Jon Sharp, Ruizhe Wang, Earlence Fernandes, Xiaojin Zhu
http://arxiv.org/abs/2012.08704v1
• [cs.RO]Visually Grounding Instruction for History-Dependent Manipulation
Hyemin Ahn, Obin Kwon, Kyoungdo Kim, Dongheui Lee, Songhwai Oh
http://arxiv.org/abs/2012.08977v1
• [cs.SI]Adversarial Permutation Guided Node Representations for Link Prediction
Indradyumna Roy, Abir De, Soumen Chakrabarti
http://arxiv.org/abs/2012.08974v1
• [cs.SI]Analysing the Social Spread of Behaviour: Integrating Complex Contagions into Network Based Diffusions
Josh A. Firth, Gregory F. Albery, Kristina B. Beck, Ivan Jarić, Lewis G. Spurgin, Ben C. Sheldon, Will Hoppitt
http://arxiv.org/abs/2012.08925v1
• [cs.SI]Beyond pairwise network similarity: exploring Mediation and Suppression between networks
Lucas Lacasa, Sebastiano Stramaglia, Daniele Marinazzo
http://arxiv.org/abs/2012.09006v1
• [cs.SI]Data Trading with a Monopoly Social Network: Outcomes are Mostly Privacy Welfare Damaging
Ranjan Pal, Junhui Li, Yixuan Wang, Mingyan Liu, Swades De, Jon Crowcroft
http://arxiv.org/abs/2012.08729v1
• [cs.SI]How the emotion’s type and intensity affect rumor spreading
Yanli Li, Jing Ma, Fanshu Fang
http://arxiv.org/abs/2012.08861v1
• [cs.SI]Information Diffusion Prediction with Latent Factor Disentanglement
Haoran Wang, Cheng Yang
http://arxiv.org/abs/2012.08828v1
• [cs.SI]Network experimentation at scale
Brian Karrer, Liang Shi, Monica Bhole, Matt Goldman, Tyrone Palmer, Charlie Gelman, Mikael Konutgan, Feng Sun
http://arxiv.org/abs/2012.08591v1
• [econ.EM]Exact Trend Control in Estimating Treatment Effects Using Panel Data with Heterogenous Trends
Chirok Han
http://arxiv.org/abs/2012.08988v1
• [eess.IV]CUDA-Optimized real-time rendering of a Foveated Visual System
Elian Malkin, Arturo Deza, Tomaso Poggio
http://arxiv.org/abs/2012.08655v1
• [eess.IV]Cross-Cohort Generalizability of Deep and Conventional Machine Learning for MRI-based Diagnosis and Prediction of Alzheimer’s Disease
Esther E. Bron, Stefan Klein, Janne M. Papma, Lize C. Jiskoot, Vikram Venkatraghavan, Jara Linders, Pauline Aalten, Peter Paul De Deyn, Geert Jan Biessels, Jurgen A. H. R. Claassen, Huub A. M. Middelkoop, Marion Smits, Wiro J. Niessen, John C. van Swieten, Wiesje M. van der Flier, Inez H. G. B. Ramakers, Aad van der Lugt
http://arxiv.org/abs/2012.08769v1
• [eess.IV]Evaluation of deep learning-based myocardial infarction quantification using Segment CMR software
Olivier Rukundo
http://arxiv.org/abs/2012.09070v1
• [eess.IV]Learning-Based Algorithms for Vessel Tracking: A Review
Dengqiang Jia, Xiahai Zhuang
http://arxiv.org/abs/2012.08929v1
• [eess.IV]Learning-Based Quality Assessment for Image Super-Resolution
Tiesong Zhao, Yuting Lin, Yiwen Xu, Weiling Chen, Zhou Wang
http://arxiv.org/abs/2012.08732v1
• [eess.IV]PGMAN: An Unsupervised Generative Multi-adversarial Network for Pan-sharpening
Huanyu Zhou, Qingjie Liu, Yunhong Wang
http://arxiv.org/abs/2012.09054v1
• [eess.SP]Secret Key Agreement with Physical Unclonable Functions: An Optimality Summary
Onur Günlü, Rafael F. Schaefer
http://arxiv.org/abs/2012.08924v1
• [eess.SP]User Coordination for Fast Beam Training in FDD Multi-User Massive MIMO
Flavio Maschietti, Gábor Fodor, David Gesbert, Paul de Kerret
http://arxiv.org/abs/2012.09106v1
• [eess.SY]Aging Bandits: Regret Analysis and Order-Optimal Learning Algorithm for Wireless Networks with Stochastic Arrivals
Eray Unsal Atay, Igor Kadota, Eytan Modiano
http://arxiv.org/abs/2012.08682v1
• [gr-qc]Confluence of Artificial Intelligence and High Performance Computing for Accelerated, Scalable and Reproducible Gravitational Wave Detection
E. A. Huerta, Asad Khan, Xiaobo Huang, Minyang Tian, Maksim Levental, Ryan Chard, Wei Wei, Maeve Heflin, Daniel S. Katz, Volodymyr Kindratenko, Dawei Mu, Ben Blaiszik, Ian Foster
http://arxiv.org/abs/2012.08545v1
• [hep-ph]Jet tagging in the Lund plane with graph networks
Frédéric A. Dreyer, Huilin Qu
http://arxiv.org/abs/2012.08526v1
• [math.PR]Change Detection: A functional analysis perspective
Julio Enrique Castrillon-Candas, Mark Kon
http://arxiv.org/abs/2012.09141v1
• [math.ST]Event History and Topological Data Analysis
Kathryn Garside, Aida Gjoka, Robin Henderson, Hollie Johnson, Irina Makarenko
http://arxiv.org/abs/2012.08810v1
• [math.ST]Limit distribution of the least square estimator with observations sampled at random times driven by standard Brownian motion
Tania Roa, Soledad Torres, Ciprian tudor
http://arxiv.org/abs/2012.08966v1
• [q-bio.GN]SimpleChrome: Encoding of Combinatorial Effects for Predicting Gene Expression
Wei Cheng, Ghulam Murtaza, Aaron Wang
http://arxiv.org/abs/2012.08671v1
• [q-bio.PE]Disease Momentum: Estimating the Reproduction Number in the Presence of Superspreading
Kory D. Johnson, Mathias Beiglböck, Manuel Eder, Annemarie Grass, Joachim Hermisson, Gudmund Pammer, Jitka Polechová, Daniel Toneian, Benjamin Wölfl
http://arxiv.org/abs/2012.08843v1
• [q-bio.QM]PANTHER: Pathway Augmented Nonnegative Tensor factorization for HighER-order feature learning
Yuan Luo, Chengsheng Mao
http://arxiv.org/abs/2012.08580v1
• [quant-ph]Programmable Quantum Annealers as Noisy Gibbs Samplers
Marc Vuffray, Carleton Coffrin, Yaroslav A. Kharkov, Andrey Y. Lokhov
http://arxiv.org/abs/2012.08827v1
• [stat.AP]Adaptive Generalized Logit-Normal Distributions for Wind Power Short-Term Forecasting
Amandine Pierrot, Pierre Pinson
http://arxiv.org/abs/2012.08910v1
• [stat.AP]Group testing and PCR: a tale of charge value
Emilien Joly, Bastien Mallein
http://arxiv.org/abs/2012.09096v1
• [stat.AP]Selection of multiple donor gauges via Graphical Lasso for estimation of daily streamflow time series
German A. Villalba, Xu Liang, Yao Liang
http://arxiv.org/abs/2012.08652v1
• [stat.AP]Trustworthy Online Marketplace Experimentation with Budget-split Design
Min Liu, Jialiang Mao, Kang Kang
http://arxiv.org/abs/2012.08724v1
• [stat.ME]Computation-free Nonparametric testing for Local and Global Spatial Autocorrelation with application to the Canadian Electorate
Adam B Kashlak, Weicong Yuan
http://arxiv.org/abs/2012.08647v1
• [stat.ME]Effect of right censoring bias on survival analysis
Enrique Barrajón, Laura Barrajón
http://arxiv.org/abs/2012.08649v1
• [stat.ME]Ensemble Kalman filter based Sequential Monte Carlo Sampler for sequential Bayesian inference
Jiangqi Wu, Linjie Wen, Peter L Green, Jinglai Li, Simon Maskell
http://arxiv.org/abs/2012.08848v1
• [stat.ML]A connection between the pattern classification problem and the General Linear Model for statistical inference
Juan Manuel Gorriz, SIPBA group, John Suckling
http://arxiv.org/abs/2012.08903v1
• [stat.ML]On $O( \max {n_1, n_2 }\log ( \max { n_1, n_2 } n_3) )$ Sample Entries for $n_1 \times n_2 \times n_3$ Tensor Completion via Unitary Transformation
Guang-Jing Song, Michael K. Ng, Xiongjun Zhang
http://arxiv.org/abs/2012.08784v1
• [stat.ML]Online Learning Demands in Max-min Fairness
Kirthevasan Kandasamy, Gur-Eyal Sela, Joseph E Gonzalez, Michael I Jordan, Ion Stoica
http://arxiv.org/abs/2012.08648v1
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