cond-mat.mes-hall - 尺度和物理纳米
cs.AI - 人工智能 cs.CE - 计算工程、 金融和科学 cs.CG - 计算几何学 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.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MS - 数学软件 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.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 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 q-bio.QM - 定量方法 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cond-mat.mes-hall]Deep Reinforcement Learning for Efficient Measurement of Quantum Devices
• [cs.AI]AUBER: Automated BERT Regularization
• [cs.AI]Complexity and Algorithms for Exploiting Quantal Opponents in Large Two-Player Games
• [cs.AI]Conformance Checking over Uncertain Event Data
• [cs.AI]Emotion in Future Intelligent Machines
• [cs.AI]Explainable Natural Language Reasoning via Conceptual Unification
• [cs.AI]Explaining AI as an Exploratory Process: The Peircean Abduction Model
• [cs.AI]Facilitating Connected Autonomous Vehicle Operations Using Space-weighted Information Fusion and Deep Reinforcement Learning Based Control
• [cs.AI]Graph-based Heuristic Search for Module Selection Procedure in Neural Module Network
• [cs.AI]Learning Rewards from Linguistic Feedback
• [cs.AI]OWL2Vec*: Embedding of OWL Ontologies
• [cs.AI]RTFE: A Recursive Temporal Fact Embedding Framework for Temporal Knowledge Graph Completion
• [cs.AI]Reannealing of Decaying Exploration Based On Heuristic Measure in Deep Q-Network
• [cs.AI]TaxiNLI: Taking a Ride up the NLU Hill
• [cs.AI]Toolpath design for additive manufacturing using deep reinforcement learning
• [cs.AI]Uncertainty Estimation For Community Standards Violation In Online Social Networks
• [cs.AI]Uncertainty Reasoning for Probabilistic Petri Nets via Bayesian Networks
• [cs.AI]Visual Semantic Multimedia Event Model for Complex Event Detection in Video Streams
• [cs.CE]Computational framework for real-time diagnostics and prognostics of aircraft actuation systems
• [cs.CG]A task-based approach to parallel parametric linear programming solving, and application to polyhedral computations
• [cs.CL]A Tale of Two Linkings: Dynamically Gating between Schema Linking and Structural Linking for Text-to-SQL Parsing
• [cs.CL]A Vietnamese Dataset for Evaluating Machine Reading Comprehension
• [cs.CL]Abusive Language Detection and Characterization of Twitter Behavior
• [cs.CL]BERT for Monolingual and Cross-Lingual Reverse Dictionary
• [cs.CL]Bridging Information-Seeking Human Gaze and Machine Reading Comprehension
• [cs.CL]Can Automatic Post-Editing Improve NMT?
• [cs.CL]Contextual Knowledge Selection and Embedding towards Enhanced Pre-Trained Language Models
• [cs.CL]Cross-lingual Alignment Methods for Multilingual BERT: A Comparative Study
• [cs.CL]Cross-lingual Spoken Language Understanding with Regularized Representation Alignment
• [cs.CL]Development of Word Embeddings for Uzbek Language
• [cs.CL]Dilated Convolutional Attention Network for Medical Code Assignment from Clinical Text
• [cs.CL]End-to-End Spoken Language Understanding Without Full Transcripts
• [cs.CL]Ethically Collecting Multi-Modal Spontaneous Conversations with People that have Cognitive Impairments
• [cs.CL]Generation of lyrics lines conditioned on music audio clips
• [cs.CL]INSPIRED: Toward Sociable Recommendation Dialog Systems
• [cs.CL]Improving Low Compute Language Modeling with In-Domain Embedding Initialisation
• [cs.CL]LEBANONUPRISING: a thorough study of Lebanese tweets
• [cs.CL]Learning Hard Retrieval Cross Attention for Transformer
• [cs.CL]MaP: A Matrix-based Prediction Approach to Improve Span Extraction in Machine Reading Comprehension
• [cs.CL]Multiple Word Embeddings for Increased Diversity of Representation
• [cs.CL]Natcat: Weakly Supervised Text Classification with Naturally Annotated Datasets
• [cs.CL]Neural RST-based Evaluation of Discourse Coherence
• [cs.CL]On Romanization for Model Transfer Between Scripts in Neural Machine Translation
• [cs.CL]Point-of-Interest Type Inference from Social Media Text
• [cs.CL]RDSGAN: Rank-based Distant Supervision Relation Extraction with Generative Adversarial Framework
• [cs.CL]TEST_POSITIVE at W-NUT 2020 Shared Task-3: Joint Event Multi-task Learning for Slot Filling in Noisy Text
• [cs.CL]Towards Improved Model Design for Authorship Identification: A Survey on Writing Style Understanding
• [cs.CL]Towards a Multi-modal, Multi-task Learning based Pre-training Framework for Document Representation Learning
• [cs.CL]Visually-Grounded Planning without Vision: Language Models Infer Detailed Plans from High-level Instructions
• [cs.CR]A machine learning approach for detecting CNAME cloaking-based tracking on the Web
• [cs.CR]Decentralized Patient Centric e-Health Record Management System using Blockchain and IPFS
• [cs.CR]The General Law Principles for Protection the Personal Data and their Importance
• [cs.CV]3D Dense Geometry-Guided Facial Expression Synthesis by Adversarial Learning
• [cs.CV]A robustness measure for singular point and index estimation in discretized orientation and vector fields
• [cs.CV]Adversarial Semi-Supervised Multi-Domain Tracking
• [cs.CV]Affect Expression Behaviour Analysis in the Wild using Spatio-Channel Attention and Complementary Context Information
• [cs.CV]Asymmetric Contextual Modulation for Infrared Small Target Detection
• [cs.CV]AttendNets: Tiny Deep Image Recognition Neural Networks for the Edge via Visual Attention Condensers
• [cs.CV]Attention-Aware Noisy Label Learning for Image Classification
• [cs.CV]Attention-driven Body Pose Encoding for Human Activity Recognition
• [cs.CV]Benchmark for Anonymous Video Analytics
• [cs.CV]Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification
• [cs.CV]CoKe: Localized Contrastive Learning for Robust Keypoint Detection
• [cs.CV]CrowdMOT: Crowdsourcing Strategies for Tracking Multiple Objects in Videos
• [cs.CV]Deep Learning-based Pipeline for Module Power Prediction from EL Measurements
• [cs.CV]Demographic Influences on Contemporary Art with Unsupervised Style Embeddings
• [cs.CV]Dissected 3D CNNs: Temporal Skip Connections for Efficient Online Video Processing
• [cs.CV]Driver Anomaly Detection: A Dataset and Contrastive Learning Approach
• [cs.CV]Encode the Unseen: Predictive Video Hashing for Scalable Mid-Stream Retrieval
• [cs.CV]Finding It at Another Side: A Viewpoint-Adapted Matching Encoder for Change Captioning
• [cs.CV]Joint Contrastive Learning with Infinite Possibilities
• [cs.CV]Knowledge Fusion Transformers for Video Action Recognition
• [cs.CV]Learning Object Detection from Captions via Textual Scene Attributes
• [cs.CV]Lip-reading with Densely Connected Temporal Convolutional Networks
• [cs.CV]Monocular Differentiable Rendering for Self-Supervised 3D Object Detection
• [cs.CV]Multi-channel Deep 3D Face Recognition
• [cs.CV]Pruning Filter in Filter
• [cs.CV]Restoring Spatially-Heterogeneous Distortions using Mixture of Experts Network
• [cs.CV]SIR: Similar Image Retrieval for Product Search in E-Commerce
• [cs.CV]Teacher-Critical Training Strategies for Image Captioning
• [cs.CV]Texture-aware Multi-resolution Image Inpainting
• [cs.CV]The Utility of Decorrelating Colour Spaces in Vector Quantised Variational Autoencoders
• [cs.CV]Toward Privacy and Utility Preserving Image Representation
• [cs.CV]Towards Adaptive Semantic Segmentation by Progressive Feature Refinement
• [cs.CV]Uncertainty Estimation and Sample Selection for Crowd Counting
• [cs.CY]Legal Judgment Prediction (LJP) Amid the Advent of Autonomous AI Legal Reasoning
• [cs.CY]Towards decolonising computational sciences
• [cs.DC]Byzantine Fault-Tolerance in Decentralized Optimization under Minimal Redundancy
• [cs.DC]CTDGM: A Data Grouping Model Based on Cache Transaction for Unstructured Data Storage Systems
• [cs.DC]Communication-Optimal Parallel Standard and Karatsuba Integer Multiplication in the Distributed Memory Model
• [cs.DC]Computing Systems for Autonomous Driving: State-of-the-Art and Challenges
• [cs.DC]Deterministic PRAM Approximate Shortest Paths in Polylogarithmic Time and Slightly Super-Linear Work
• [cs.DC]Distributed Many-to-Many Protein Sequence Alignment using Sparse Matrices
• [cs.DC]HetSeq: Distributed GPU Training on Heterogeneous Infrastructure
• [cs.DC]Pairbot: A Novel Model for Autonomous Mobile Robot Systems Consisting of Paired Robots
• [cs.GT]Learning and Strongly Truthful Multi-Task Peer Prediction: A Variational Approach
• [cs.HC]Augmenting Scientific Papers with Just-in-Time, Position-Sensitive Definitions of Terms and Symbols
• [cs.IR]User-item matching for recommendation fairness: a view from item-providers
• [cs.IT]An Upper Bound for Wiretap Multi-way Channels
• [cs.IT]Impact and Calibration of Nonlinear Reciprocity Mismatch in Massive MIMO
• [cs.IT]Moment Generating Function of the AoI in Multi-Source Systems With Packet Management
• [cs.IT]Physical Layer Security Enhancement Using Artificial Noise in Cellular Vehicle-to-Everything (C-V2X) Networks
• [cs.IT]Secure Aggregation with Heterogeneous Quantization in Federated Learning
• [cs.LG]$f$-Divergence Variational Inference
• [cs.LG]A Framework of Learning Through Empirical Gain Maximization
• [cs.LG]A law of robustness for two-layers neural networks
• [cs.LG]Acceleration of Large Margin Metric Learning for Nearest Neighbor Classification Using Triplet Mining and Stratified Sampling
• [cs.LG]An Online Learning Algorithm for a Neuro-Fuzzy Classifier with Mixed-Attribute Data
• [cs.LG]Attention that does not Explain Away
• [cs.LG]DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles
• [cs.LG]Detecting Autism Spectrum Disorder using Machine Learning
• [cs.LG]Direct Multi-hop Attention based Graph Neural Network
• [cs.LG]Efficient Kernel Transfer in Knowledge Distillation
• [cs.LG]Ensemble Multi-Source Domain Adaptation with Pseudolabels
• [cs.LG]Facilitate the Parametric Dimension Reduction by Gradient Clipping
• [cs.LG]Finite-Time Analysis for Double Q-learning
• [cs.LG]Geometric Matrix Completion: A Functional View
• [cs.LG]Global convergence of Negative Correlation Extreme Learning Machine
• [cs.LG]Gradient Descent-Ascent Provably Converges to Strict Local Minmax Equilibria with a Finite Timescale Separation
• [cs.LG]Improving Auto-Augment via Augmentation-Wise Weight Sharing
• [cs.LG]Improving Generalization of Deep Fault Detection Models in the Presence of Mislabeled Data
• [cs.LG]MQTransformer: Multi-Horizon Forecasts with Context Dependent and Feedback-Aware Attention
• [cs.LG]Manifold Adaptive Multiple Kernel K-Means for Clustering
• [cs.LG]Measuring Systematic Generalization in Neural Proof Generation with Transformers
• [cs.LG]One Reflection Suffice
• [cs.LG]Online Convex Optimization in Changing Environments and its Application to Resource Allocation
• [cs.LG]Pea-KD: Parameter-efficient and Accurate Knowledge Distillation
• [cs.LG]PettingZoo: Gym for Multi-Agent Reinforcement Learning
• [cs.LG]Rain Code : Forecasting Spatiotemporal Precipitation based on Multi-frames Feature using ConvLSTM
• [cs.LG]Regress Consistently when Oblivious Outliers Overwhelm
• [cs.LG]ResGCN: Attention-based Deep Residual Modeling for Anomaly Detection on Attributed Networks
• [cs.LG]Rethinking Attention with Performers
• [cs.LG]Some Remarks on Replicated Simulated Annealing
• [cs.LG]Spectral Embedding of Graph Networks
• [cs.LG]Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks
• [cs.LG]StratLearner: Learning a Strategy for Misinformation Prevention in Social Networks
• [cs.LG]The Role of Isomorphism Classes in Multi-Relational Datasets
• [cs.LG]Trustworthy Convolutional Neural Networks: A Gradient Penalized-based Approach
• [cs.LG]Uncovering Feature Interdependencies with Non-Greedy Random Forests
• [cs.LG]Where Does Trust Break Down? A Quantitative Trust Analysis of Deep Neural Networks via Trust Matrix and Conditional Trust Densities
• [cs.MS]Accelerating Sparse Matrix-Matrix Multiplication with GPU Tensor Cores
• [cs.MS]ParaMonte: A high-performance serial/parallel Monte Carlo simulation library for C, C++, Fortran
• [cs.NE]A Coevolutionary Variable Neighborhood Search Algorithm for Discrete Multitasking (CoVNS): Application to Community Detection over Graphs
• [cs.NE]A Framework to Handle Multi-modal Multi-objective Optimization in Decomposition-based Evolutionary Algorithms
• [cs.NE]Linear Matrix Factorization Embeddings for Single-objective Optimization Landscapes
• [cs.NE]Non-elitist Evolutionary Multi-objective Optimizers Revisited
• [cs.NE]Strategy and Benchmark for Converting Deep Q-Networks to Event-Driven Spiking Neural Networks
• [cs.NI]A General Framework for Charger Scheduling Optimization Problems
• [cs.RO]Encoding cloth manipulations using a graph of states and transitions
• [cs.RO]Explainable Deep Reinforcement Learning for UAV Autonomous Navigation
• [cs.RO]Meta Partial Benders Decomposition for the Logistics Service Network Design Problem
• [cs.RO]Multi-Pen Robust Robotic 3D Drawing Using Closed-Loop Planning
• [cs.RO]Reality-assisted evolution of soft robots through large-scale physical experimentation: a review
• [cs.RO]S3K: Self-Supervised Semantic Keypoints for Robotic Manipulation via Multi-View Consistency
• [cs.RO]Towards Target-Driven Visual Navigation in Indoor Scenes via Generative Imitation Learning
• [cs.SI]Weight Prediction for Variants of Weighted Directed Networks
• [econ.EM]Local Regression Distribution Estimators
• [eess.AS]Embedded Emotions — A Data Driven Approach to Learn Transferable Feature Representations from Raw Speech Input for Emotion Recognition
• [eess.AS]Transfer Learning from Monolingual ASR to Transcription-free Cross-lingual Voice Conversion
• [eess.IV]COVID-CT-MD: COVID-19 Computed Tomography (CT) Scan Dataset Applicable in Machine Learning and Deep Learning
• [eess.IV]Enhanced Standard Compatible Image Compression Framework based on Auxiliary Codec Networks
• [eess.IV]FAN: Frequency Aggregation Network for Real Image Super-resolution
• [eess.IV]Learning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-time
• [eess.IV]Learning an optimal PSF-pair for ultra-dense 3D localization microscopy
• [eess.IV]Multi-focus Image Fusion for Visual Sensor Networks
• [eess.IV]TorchRadon: Fast Differentiable Routines for Computed Tomography
• [eess.SP]Hidden Markov Models for Pipeline Damage Detection Using Piezoelectric Transducers
• [eess.SP]Learning to Beamform for Intelligent Reflecting Surface with Implicit Channel Estimate
• [eess.SY]Co-design of Control and Planning for Multi-rotor UAVs with Signal Temporal Logic Specifications
• [eess.SY]Cooperative Path Integral Control for Stochastic Multi-Agent Systems
• [eess.SY]Efficient, Decentralized, and Collaborative Multi-Robot Exploration using Optimal Transport Theory
• [eess.SY]Frequency-Domain Modelling of Reset Control Systems using an Impulsive Description
• [math.OC]Accelerating Optimization and Reinforcement Learning with Quasi-Stochastic Approximation
• [math.OC]First-order Optimization for Superquantile-based Supervised Learning
• [math.OC]Optimal Control of Industrial Assembly Lines
• [math.OC]Wasserstein Distributionally Robust Inverse Multiobjective Optimization
• [math.PR]Couplings for Andersen Dynamics
• [math.ST]Benign overfitting in ridge regression
• [math.ST]Testing for linearity in boundary regression models with application to maximal life expectancies
• [q-bio.QM]Learning to swim in potential flow
• [stat.AP]Enhanced Bayesian Model Updating with Incomplete Modal Information Using Parallel, Interactive and Adaptive Markov Chains
• [stat.AP]Using sex and gender in survey adjustment
• [stat.ME]Double/Debiased Machine Learning for Logistic Partially Linear Model
• [stat.ME]Maximum Entropy classification for record linkage
• [stat.ME]On Mendelian Randomization Mixed-Scale Treatment Effect Robust Identification (MR MiSTERI) and Estimation for Causal Inference
• [stat.ME]Space-Time Covariance Models on Networks with An Application on Streams
• [stat.ME]Spatial Statistical Models: an overview under the Bayesian Approach
• [stat.ME]The Illusion of the Illusion of Sparsity: An exercise in prior sensitivity
• [stat.ML]Accurate and Robust Feature Importance Estimation under Distribution Shifts
• [stat.ML]Ask-n-Learn: Active Learning via Reliable Gradient Representations for Image Classification
• [stat.ML]Deep Equals Shallow for ReLU Networks in Kernel Regimes
• [stat.ML]EWS-GCN: Edge Weight-Shared Graph Convolutional Network for Transactional Banking Data
• [stat.ML]Few-shot Learning for Time-series Forecasting
• [stat.ML]Modelisation of competition between times series
• [stat.ML]Statistical control for spatio-temporal MEG/EEG source imaging with desparsified multi-task Lasso
• [stat.ML]Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks
·····································
• [cond-mat.mes-hall]Deep Reinforcement Learning for Efficient Measurement of Quantum Devices
V. Nguyen, S. B. Orbell, D. T. Lennon, H. Moon, F. Vigneau, L. C. Camenzind, L. Yu, D. M. Zumbühl, G. A. D. Briggs, M. A. Osborne, D. Sejdinovic, N. Ares
http://arxiv.org/abs/2009.14825v1
• [cs.AI]AUBER: Automated BERT Regularization
Hyun Dong Lee, Seongmin Lee, U Kang
http://arxiv.org/abs/2009.14409v1
• [cs.AI]Complexity and Algorithms for Exploiting Quantal Opponents in Large Two-Player Games
David Milec, Jakub Černý, Viliam Lisý, Bo An
http://arxiv.org/abs/2009.14521v1
• [cs.AI]Conformance Checking over Uncertain Event Data
Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst
http://arxiv.org/abs/2009.14452v1
• [cs.AI]Emotion in Future Intelligent Machines
Marwen Belkaid, Luiz Pessoa
http://arxiv.org/abs/2009.14810v1
• [cs.AI]Explainable Natural Language Reasoning via Conceptual Unification
Marco Valentino, Mokanarangan Thayaparan, André Freitas
http://arxiv.org/abs/2009.14539v1
• [cs.AI]Explaining AI as an Exploratory Process: The Peircean Abduction Model
Robert R. Hoffman, William J. Clancy, Shane T. Mueller
http://arxiv.org/abs/2009.14795v1
• [cs.AI]Facilitating Connected Autonomous Vehicle Operations Using Space-weighted Information Fusion and Deep Reinforcement Learning Based Control
Jiqian Dong, Sikai Chen, Yujie Li, Runjia Du, Aaron Steinfeld, Samuel Labi
http://arxiv.org/abs/2009.14665v1
• [cs.AI]Graph-based Heuristic Search for Module Selection Procedure in Neural Module Network
Yuxuan Wu, Hideki Nakayama
http://arxiv.org/abs/2009.14759v1
• [cs.AI]Learning Rewards from Linguistic Feedback
Theodore R. Sumers, Mark K. Ho, Robert D. Hawkins, Karthik Narasimhan, Thomas L. Griffiths
http://arxiv.org/abs/2009.14715v1
• [cs.AI]**OWL2Vec: Embedding of OWL Ontologies
Jiaoyan Chen, Pan Hu, Ernesto Jimenez-Ruiz, Ole Magnus Holter, Denvar Antonyrajah, Ian Horrocks
http://arxiv.org/abs/2009.14654v1
• [cs.AI]RTFE: A Recursive Temporal Fact Embedding Framework for Temporal Knowledge Graph Completion
Youri Xu, E Haihong, Song Meina
http://arxiv.org/abs/2009.14653v1
• [cs.AI]Reannealing of Decaying Exploration Based On Heuristic Measure in Deep Q-Network
Xing Wang, Alexander Vinel
http://arxiv.org/abs/2009.14297v1
• [cs.AI]TaxiNLI: Taking a Ride up the NLU Hill
Pratik Joshi, Somak Aditya, Aalok Sathe, Monojit Choudhury
http://arxiv.org/abs/2009.14505v1
• [cs.AI]Toolpath design for additive manufacturing using deep reinforcement learning
Mojtaba Mozaffar, Ablodghani Ebrahimi, Jian Cao
http://arxiv.org/abs/2009.14365v1
• [cs.AI]Uncertainty Estimation For Community Standards Violation In Online Social Networks
Narjes Torabi, Nimar S. Arora, Emma Yu, Kinjal Shah, Wenshun Liu, Michael Tingley
http://arxiv.org/abs/2009.14519v1
• [cs.AI]Uncertainty Reasoning for Probabilistic Petri Nets via Bayesian Networks
Rebecca Bernemann, Benjamin Cabrera, Reiko Heckel, Barbara König
http://arxiv.org/abs/2009.14817v1
• [cs.AI]Visual Semantic Multimedia Event Model for Complex Event Detection in Video Streams
Piyush Yadav, Edward Curry
http://arxiv.org/abs/2009.14525v1
• [cs.CE]Computational framework for real-time diagnostics and prognostics of aircraft actuation systems
Pier Carlo Berri, Matteo D. L. Dalla Vedova, Laura Mainini
http://arxiv.org/abs/2009.14645v1
• [cs.CG]A task-based approach to parallel parametric linear programming solving, and application to polyhedral computations
Camille Coti, David Monniaux, Hang Yu
http://arxiv.org/abs/rg/abs/2009.14435v1
• [cs.CL]A Tale of Two Linkings: Dynamically Gating between Schema Linking and Structural Linking for Text-to-SQL Parsing
Sanxing Chen, Aidan San, Xiaodong Liu, Yangfeng Ji
http://arxiv.org/abs/2009.14809v1
• [cs.CL]A Vietnamese Dataset for Evaluating Machine Reading Comprehension
Kiet Van Nguyen, Duc-Vu Nguyen, Anh Gia-Tuan Nguyen, Ngan Luu-Thuy Nguyen
http://arxiv.org/abs/2009.14725v1
• [cs.CL]Abusive Language Detection and Characterization of Twitter Behavior
Dincy Davis, Reena Murali, Remesh Babu
http://arxiv.org/abs/2009.14261v1
• [cs.CL]BERT for Monolingual and Cross-Lingual Reverse Dictionary
Hang Yan, Xiaonan Li, Xipeng Qiu
http://arxiv.org/abs/2009.14790v1
• [cs.CL]Bridging Information-Seeking Human Gaze and Machine Reading Comprehension
Jonathan Malmaud, Roger Levy, Yevgeni Berzak
http://arxiv.org/abs/2009.14780v1
• [cs.CL]Can Automatic Post-Editing Improve NMT?
Shamil Chollampatt, Raymond Hendy Susanto, Liling Tan, Ewa Szymanska
http://arxiv.org/abs/2009.14395v1
• [cs.CL]Contextual Knowledge Selection and Embedding towards Enhanced Pre-Trained Language Models
YuSheng Su, Xu Han, Zhengyan Zhang, Peng Li, Zhiyuan Liu, Yankai Lin, Jie Zhou, Maosong Sun
http://arxiv.org/abs/2009.13964v2
• [cs.CL]Cross-lingual Alignment Methods for Multilingual BERT: A Comparative Study
Saurabh Kulshreshtha, José Luis Redondo-García, Ching-Yun Chang
http://arxiv.org/abs/2009.14304v1
• [cs.CL]Cross-lingual Spoken Language Understanding with Regularized Representation Alignment
Zihan Liu, Genta Indra Winata, Peng Xu, Zhaojiang Lin, Pascale Fung
http://arxiv.org/abs/2009.14510v1
• [cs.CL]Development of Word Embeddings for Uzbek Language
B. Mansurov, A. Mansurov
http://arxiv.org/abs/2009.14384v1
• [cs.CL]Dilated Convolutional Attention Network for Medical Code Assignment from Clinical Text
Shaoxiong Ji, Erik Cambria, Pekka Marttinen
http://arxiv.org/abs/2009.14578v1
• [cs.CL]End-to-End Spoken Language Understanding Without Full Transcripts
Hong-Kwang J. Kuo, Zoltán Tüske, Samuel Thomas, Yinghui Huang, Kartik Audhkhasi, Brian Kingsbury, Gakuto Kurata, Zvi Kons, Ron Hoory, Luis Lastras
http://arxiv.org/abs/2009.14386v1
• [cs.CL]Ethically Collecting Multi-Modal Spontaneous Conversations with People that have Cognitive Impairments
Angus Addlesee, Pierre Albert
http://arxiv.org/abs/2009.14361v1
• [cs.CL]Generation of lyrics lines conditioned on music audio clips
Olga Vechtomova, Gaurav Sahu, Dhruv Kumar
http://arxiv.org/abs/2009.14375v1
• [cs.CL]INSPIRED: Toward Sociable Recommendation Dialog Systems
Shirley Anugrah Hayati, Dongyeop Kang, Qingxiaoyang Zhu, Weiyan Shi, Zhou Yu
http://arxiv.org/abs/2009.14306v1
• [cs.CL]Improving Low Compute Language Modeling with In-Domain Embedding Initialisation
Charles Welch, Rada Mihalcea, Jonathan K. Kummerfeld
http://arxiv.org/abs/2009.14109v2
• [cs.CL]LEBANONUPRISING: a thorough study of Lebanese tweets
Reda Khalaf, Mireille Makary
http://arxiv.org/abs/2009.14459v1
• [cs.CL]Learning Hard Retrieval Cross Attention for Transformer
Hongfei Xu, Qiuhui Liu
http://arxiv.org/abs/2009.14658v1
• [cs.CL]MaP: A Matrix-based Prediction Approach to Improve Span Extraction in Machine Reading Comprehension
Huaishao Luo, Yu Shi, Ming Gong, Linjun Shou, Tianrui Li
http://arxiv.org/abs/2009.14348v1
• [cs.CL]Multiple Word Embeddings for Increased Diversity of Representation
Brian Lester, Daniel Pressel, Amy Hemmeter, Sagnik Ray Choudhury, Srinivas Bangalore
http://arxiv.org/abs/2009.14394v1
• [cs.CL]Natcat: Weakly Supervised Text Classification with Naturally Annotated Datasets
Zewei Chu, Karl Stratos, Kevin Gimpel
http://arxiv.org/abs/2009.14335v1
• [cs.CL]Neural RST-based Evaluation of Discourse Coherence
Grigorii Guz, Peyman Bateni, Darius Muglich, Giuseppe Carenini
http://arxiv.org/abs/2009.14463v1
• [cs.CL]On Romanization for Model Transfer Between Scripts in Neural Machine Translation
Chantal Amrhein, Rico Sennrich
http://arxiv.org/abs/2009.14824v1
• [cs.CL]Point-of-Interest Type Inference from Social Media Text
Danae Sánchez Villegas, Daniel Preoţiuc-Pietro, Nikolaos Aletras
http://arxiv.org/abs/2009.14734v1
• [cs.CL]RDSGAN: Rank-based Distant Supervision Relation Extraction with Generative Adversarial Framework
Guoqing Luo, Jiaxin Pan, Min Peng
http://arxiv.org/abs/2009.14722v1
• [cs.CL]TEST_POSITIVE at W-NUT 2020 Shared Task-3: Joint Event Multi-task Learning for Slot Filling in Noisy Text
Chacha Chen, Chieh-Yang Huang, Yaqi Hou, Yang Shi, Enyan Dai, Jiaqi Wang
http://arxiv.org/abs/2009.14262v1
• [cs.CL]Towards Improved Model Design for Authorship Identification: A Survey on Writing Style Understanding
Weicheng Ma, Ruibo Liu, Lili Wang, Soroush Vosoughi
http://arxiv.org/abs/2009.14445v1
• [cs.CL]Towards a Multi-modal, Multi-task Learning based Pre-training Framework for Document Representation Learning
Subhojeet Pramanik, Shashank Mujumdar, Hima Patel
http://arxiv.org/abs/2009.14457v1
• [cs.CL]Visually-Grounded Planning without Vision: Language Models Infer Detailed Plans from High-level Instructions
Peter A. Jansen
http://arxiv.org/abs/2009.14259v1
• [cs.CR]A machine learning approach for detecting CNAME cloaking-based tracking on the Web
Ha Dao, Kensuke Fukuda
http://arxiv.org/abs/2009.14330v1
• [cs.CR]Decentralized Patient Centric e-Health Record Management System using Blockchain and IPFS
Gaganjeet Reen, Manasi Mohandas, S Venkatesan
http://arxiv.org/abs/2009.14285v1
• [cs.CR]The General Law Principles for Protection the Personal Data and their Importance
Jonatas S. de Souza, Jair M. Abe, Luiz A. de Lima, Nilson A. de Souza
http://arxiv.org/abs/2009.14313v1
• [cs.CV]3D Dense Geometry-Guided Facial Expression Synthesis by Adversarial Learning
Rumeysa Bodur, Binod Bhattarai, Tae-Kyun Kim
http://arxiv.org/abs/2009.14798v1
• [cs.CV]A robustness measure for singular point and index estimation in discretized orientation and vector fields
Karl B. Hoffmann, Ivo F. Sbalzarini
http://arxiv.org/abs/2009.14570v1
• [cs.CV]Adversarial Semi-Supervised Multi-Domain Tracking
Kourosh Meshgi, Maryam Sadat Mirzaei
http://arxiv.org/abs/2009.14635v1
• [cs.CV]Affect Expression Behaviour Analysis in the Wild using Spatio-Channel Attention and Complementary Context Information
Darshan Gera, S Balasubramanian
http://arxiv.org/abs/2009.14440v1
• [cs.CV]Asymmetric Contextual Modulation for Infrared Small Target Detection
Yimian Dai, Yiquan Wu, Fei Zhou, Kobus Barnard
http://arxiv.org/abs/2009.14530v1
• [cs.CV]AttendNets: Tiny Deep Image Recognition Neural Networks for the Edge via Visual Attention Condensers
Alexander Wong, Mahmoud Famouri, Mohammad Javad Shafiee
http://arxiv.org/abs/2009.14385v1
• [cs.CV]Attention-Aware Noisy Label Learning for Image Classification
Zhenzhen Wang, Chunyan Xu, Yap-Peng Tan, Junsong Yuan
http://arxiv.org/abs/2009.14757v1
• [cs.CV]Attention-driven Body Pose Encoding for Human Activity Recognition
B Debnath, M O’brien, S Kumar, A Behera
http://arxiv.org/abs/2009.14326v1
• [cs.CV]Benchmark for Anonymous Video Analytics
Ricardo Sanchez-Matilla, Andrea Cavallaro
http://arxiv.org/abs/2009.14684v1
• [cs.CV]Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification
Chu-ran Wang, Jing Li, Fandong Zhang, Xinwei Sun, Hao Dong, Yizhou Yu, Yizhou Wang
http://arxiv.org/abs/2009.14406v1
• [cs.CV]CoKe: Localized Contrastive Learning for Robust Keypoint Detection
Yutong Bai, Angtian Wang, Adam Kortylewski, Alan Yuille
http://arxiv.org/abs/2009.14115v2
• [cs.CV]CrowdMOT: Crowdsourcing Strategies for Tracking Multiple Objects in Videos
Samreen Anjum, Chi Lin, Danna Gurari
http://arxiv.org/abs/2009.14265v1
• [cs.CV]Deep Learning-based Pipeline for Module Power Prediction from EL Measurements
Mathis Hoffmann, Claudia Buerhop-Lutz, Luca Reeb, Tobias Pickel, Thilo Winkler, Bernd Doll, Tobias Würfl, Ian Marius Peters, Christoph Brabec, Andreas Maier, Vincent Christlein
http://arxiv.org/abs/2009.14712v1
• [cs.CV]Demographic Influences on Contemporary Art with Unsupervised Style Embeddings
Nikolai Huckle, Noa Garcia, Yuta Nakashima
http://arxiv.org/abs/2009.14545v1
• [cs.CV]Dissected 3D CNNs: Temporal Skip Connections for Efficient Online Video Processing
Okan Köpüklü, Stefan Hörmann, Fabian Herzog, Hakan Cevikalp, Gerhard Rigoll
http://arxiv.org/abs/2009.14639v1
• [cs.CV]Driver Anomaly Detection: A Dataset and Contrastive Learning Approach
Okan Köpüklü, Jiapeng Zheng, Hang Xu, Gerhard Rigoll
http://arxiv.org/abs/2009.14660v1
• [cs.CV]Encode the Unseen: Predictive Video Hashing for Scalable Mid-Stream Retrieval
Tong Yu, Nicolas Padoy
http://arxiv.org/abs/2009.14661v1
• [cs.CV]Finding It at Another Side: A Viewpoint-Adapted Matching Encoder for Change Captioning
Xiangxi Shi, Xu Yang, Jiuxiang Gu, Shafiq Joty, Jianfei Cai
http://arxiv.org/abs/2009.14352v1
• [cs.CV]Joint Contrastive Learning with Infinite Possibilities
Qi Cai, Yu Wang, Yingwei Pan, Ting Yao, Tao Mei
http://arxiv.org/abs/2009.14776v1
• [cs.CV]Knowledge Fusion Transformers for Video Action Recognition
Ganesh Samarth, Sheetal Ojha, Nikhil Pareek
http://arxiv.org/abs/2009.13782v2
• [cs.CV]Learning Object Detection from Captions via Textual Scene Attributes
Achiya Jerbi, Roei Herzig, Jonathan Berant, Gal Chechik, Amir Globerson
http://arxiv.org/abs/2009.14558v1
• [cs.CV]Lip-reading with Densely Connected Temporal Convolutional Networks
Pingchuan Ma, Yujiang Wang, Jie Shen, Stavros Petridis, Maja Pantic
http://arxiv.org/abs/2009.14233v1
• [cs.CV]Monocular Differentiable Rendering for Self-Supervised 3D Object Detection
Deniz Beker, Hiroharu Kato, Mihai Adrian Morariu, Takahiro Ando, Toru Matsuoka, Wadim Kehl, Adrien Gaidon
http://arxiv.org/abs/2009.14524v1
• [cs.CV]Multi-channel Deep 3D Face Recognition
Zhiqian You, Tingting Yang, Miao Jin
http://arxiv.org/abs/2009.14743v1
• [cs.CV]Pruning Filter in Filter
Fanxu Meng, Hao Cheng, Ke Li, Huixiang Luo, Xiaowei Guo, Guangming Lu, Xing Sun
http://arxiv.org/abs/2009.14410v1
• [cs.CV]Restoring Spatially-Heterogeneous Distortions using Mixture of Experts Network
Sijin Kim, Namhyuk Ahn, Kyung-Ah Sohn
http://arxiv.org/abs/2009.14563v1
• [cs.CV]SIR: Similar Image Retrieval for Product Search in E-Commerce
Theban Stanley, Nihar Vanjara, Yanxin Pan, Ekaterina Pirogova, Swagata Chakraborty, Abon Chaudhuri
http://arxiv.org/abs/org/abs/2009.13836v1
• [cs.CV]Teacher-Critical Training Strategies for Image Captioning
Yiqing Huang, Jiansheng Chen
http://arxiv.org/abs/2009.14405v1
• [cs.CV]Texture-aware Multi-resolution Image Inpainting
Mohamed Abbas Hedjazi, Yakup Genc
http://arxiv.org/abs/2009.14721v1
• [cs.CV]The Utility of Decorrelating Colour Spaces in Vector Quantised Variational Autoencoders
Arash Akbarinia, Raquel Gil-Rodríguez, Alban Flachot, Matteo Toscani
http://arxiv.org/abs/2009.14487v1
• [cs.CV]Toward Privacy and Utility Preserving Image Representation
Ahmadreza Mosallanezhad, Yasin Silva, Michelle V. Mancenido, Huan Liu
http://arxiv.org/abs/2009.14376v1
• [cs.CV]Towards Adaptive Semantic Segmentation by Progressive Feature Refinement
Bin Zhang, Shengjie Zhao, Rongqing Zhang
http://arxiv.org/abs/2009.14420v1
• [cs.CV]Uncertainty Estimation and Sample Selection for Crowd Counting
Viresh Ranjan, Boyu Wang, Mubarak Shah, Minh Hoai
http://arxiv.org/abs/2009.14411v1
• [cs.CY]Legal Judgment Prediction (LJP) Amid the Advent of Autonomous AI Legal Reasoning
Lance Eliot
http://arxiv.org/abs/2009.14620v1
• [cs.CY]Towards decolonising computational sciences
Abeba Birhane, Olivia Guest
http://arxiv.org/abs/2009.14258v1
• [cs.DC]Byzantine Fault-Tolerance in Decentralized Optimization under Minimal Redundancy
Nirupam Gupta, Thinh T. Doan, Nitin H. Vaidya
http://arxiv.org/abs/2009.14763v1
• [cs.DC]CTDGM: A Data Grouping Model Based on Cache Transaction for Unstructured Data Storage Systems
Dongjie Zhu, Haiwen Du, Yundong Sun, Zhaoshuo Tian
http://arxiv.org/abs/2009.14414v1
• [cs.DC]Communication-Optimal Parallel Standard and Karatsuba Integer Multiplication in the Distributed Memory Model
Lorenzo De Stefani
http://arxiv.org/abs/2009.14590v1
• [cs.DC]Computing Systems for Autonomous Driving: State-of-the-Art and Challenges
Liangkai Liu, Sidi Lu, Ren Zhong, Baofu Wu, Yongtao Yao, Qingyang Zhang, Weisong Shi
http://arxiv.org/abs/2009.14349v1
• [cs.DC]Deterministic PRAM Approximate Shortest Paths in Polylogarithmic Time and Slightly Super-Linear Work
Elkin Michael, Matar Shaked
http://arxiv.org/abs/2009.14729v1
• [cs.DC]Distributed Many-to-Many Protein Sequence Alignment using Sparse Matrices
Oguz Selvitopi, Saliya Ekanayake, Giulia Guidi, Georgios Pavlopoulos, Ariful Azad, Aydin Buluc
http://arxiv.org/abs/2009.14467v1
• [cs.DC]HetSeq: Distributed GPU Training on Heterogeneous Infrastructure
Yifan Ding, Nicholas Botzer, Tim Weninger
http://arxiv.org/abs/2009.14783v1
• [cs.DC]Pairbot: A Novel Model for Autonomous Mobile Robot Systems Consisting of Paired Robots
Yonghwan Kim, Yoshiaki Katayama, Koichi Wada
http://arxiv.org/abs/2009.14426v1
• [cs.GT]Learning and Strongly Truthful Multi-Task Peer Prediction: A Variational Approach
Grant Schoenebeck, Fang-Yi Yu
http://arxiv.org/abs/2009.14730v1
• [cs.HC]Augmenting Scientific Papers with Just-in-Time, Position-Sensitive Definitions of Terms and Symbols
Andrew Head, Kyle Lo, Dongyeop Kang, Raymond Fok, Sam Skjonsberg, Daniel S. Weld, Marti A. Hearst
http://arxiv.org/abs/2009.14237v1
• [cs.IR]User-item matching for recommendation fairness: a view from item-providers
Qiang Dong, Shuang-Shuang Xie, Xiaofan Yang, Yuan Yan Tang
http://arxiv.org/abs/2009.14474v1
• [cs.IT]An Upper Bound for Wiretap Multi-way Channels
Amin Gohari, Gerhard Kramer
http://arxiv.org/abs/2009.14814v1
• [cs.IT]Impact and Calibration of Nonlinear Reciprocity Mismatch in Massive MIMO
Rongjiang Nie, Li Chen, Nan Zhao, Yunfei Chen, Weidong Wang, Xianbin Wang
http://arxiv.org/abs/2009.14481v1
• [cs.IT]Moment Generating Function of the AoI in Multi-Source Systems With Packet Management
Mohammad Moltafet, Markus Leinonen, Marian Codreanu
http://arxiv.org/abs/2009.14439v1
• [cs.IT]Physical Layer Security Enhancement Using Artificial Noise in Cellular Vehicle-to-Everything (C-V2X) Networks
Chao Wang, Zan Li, Gen Xiang Xia, Jia Shi, Jiangbo Si, Yulong Zou
http://arxiv.org/abs/2009.14500v1
• [cs.IT]Secure Aggregation with Heterogeneous Quantization in Federated Learning
Ahmed Roushdy Elkordy, A. Salman Avestimehr
http://arxiv.org/abs/2009.14388v1
• [cs.LG]$f$-Divergence Variational Inference
Neng Wan, Dapeng Li, Naira Hovakimyan
http://arxiv.org/abs/2009.13093v2
• [cs.LG]A Framework of Learning Through Empirical Gain Maximization
Yunlong Feng, Qiang Wu
http://arxiv.org/abs/2009.14250v1
• [cs.LG]A law of robustness for two-layers neural networks
Sébastien Bubeck, Yuanzhi Li, Dheeraj Nagaraj
http://arxiv.org/abs/2009.14444v1
• [cs.LG]Acceleration of Large Margin Metric Learning for Nearest Neighbor Classification Using Triplet Mining and Stratified Sampling
Parisa Abdolrahim Poorheravi, Benyamin Ghojogh, Vincent Gaudet, Fakhri Karray, Mark Crowley
http://arxiv.org/abs/2009.14244v1
• [cs.LG]An Online Learning Algorithm for a Neuro-Fuzzy Classifier with Mixed-Attribute Data
Thanh Tung Khuat, Bogdan Gabrys
http://arxiv.org/abs/2009.14670v1
• [cs.LG]Attention that does not Explain Away
Nan Ding, Xinjie Fan, Zhenzhong Lan, Dale Schuurmans, Radu Soricut
http://arxiv.org/abs/2009.14308v1
• [cs.LG]DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles
Huanrui Yang, Jingyang Zhang, Hongliang Dong, Nathan Inkawhich, Andrew Gardner, Andrew Touchet, Wesley Wilkes, Heath Berry, Hai Li
http://arxiv.org/abs/2009.14720v1
• [cs.LG]Detecting Autism Spectrum Disorder using Machine Learning
Md Delowar Hossain, Muhammad Ashad Kabir, Adnan Anwar, Md Zahidul Islam
http://arxiv.org/abs/2009.14499v1
• [cs.LG]Direct Multi-hop Attention based Graph Neural Network
Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec
http://arxiv.org/abs/2009.14332v1
• [cs.LG]Efficient Kernel Transfer in Knowledge Distillation
Qi Qian, Hao Li, Juhua Hu
http://arxiv.org/abs/2009.14416v1
• [cs.LG]Ensemble Multi-Source Domain Adaptation with Pseudolabels
Seongmin Lee, Hyunsik Jeon, U Kang
http://arxiv.org/abs/2009.14248v1
• [cs.LG]Facilitate the Parametric Dimension Reduction by Gradient Clipping
Chien-Hsun Lai, Yu-Shuen Wang
http://arxiv.org/abs/2009.14373v1
• [cs.LG]Finite-Time Analysis for Double Q-learning
Huaqing Xiong, Lin Zhao, Yingbin Liang, Wei Zhang
http://arxiv.org/abs/2009.14257v1
• [cs.LG]Geometric Matrix Completion: A Functional View
Abhishek Sharma, Maks Ovsjanikov
http://arxiv.org/abs/2009.14343v1
• [cs.LG]Global convergence of Negative Correlation Extreme Learning Machine
Carlos Perales-González
http://arxiv.org/abs/2009.14695v1
• [cs.LG]Gradient Descent-Ascent Provably Converges to Strict Local Minmax Equilibria with a Finite Timescale Separation
Tanner Fiez, Lillian Ratliff
http://arxiv.org/abs/2009.14820v1
• [cs.LG]Improving Auto-Augment via Augmentation-Wise Weight Sharing
Keyu Tian, Chen Lin, Ming Sun, Luping Zhou, Junjie Yan, Wanli Ouyang
http://arxiv.org/abs/2009.14737v1
• [cs.LG]Improving Generalization of Deep Fault Detection Models in the Presence of Mislabeled Data
Katharina Rombach, Gabriel Michau, Olga Fink
http://arxiv.org/abs/2009.14606v1
• [cs.LG]MQTransformer: Multi-Horizon Forecasts with Context Dependent and Feedback-Aware Attention
Carson Eisenach, Yagna Patel, Dhruv Madeka
http://arxiv.org/abs/2009.14799v1
• [cs.LG]Manifold Adaptive Multiple Kernel K-Means for Clustering
Liang Du, Haiying Zhang, Xin Ren, Xiaolin Lv
http://arxiv.org/abs/2009.14389v1
• [cs.LG]Measuring Systematic Generalization in Neural Proof Generation with Transformers
Nicolas Gontier, Koustuv Sinha, Siva Reddy, Christopher Pal
http://arxiv.org/abs/2009.14786v1
• [cs.LG]One Reflection Suffice
Alexander Mathiasen, Frederik Hvilshøj
http://arxiv.org/abs/2009.14554v1
• [cs.LG]Online Convex Optimization in Changing Environments and its Application to Resource Allocation
Jianjun Yuan
http://arxiv.org/abs/2009.14436v1
• [cs.LG]Pea-KD: Parameter-efficient and Accurate Knowledge Distillation
Ikhyun Cho, U Kang
http://arxiv.org/abs/2009.14822v1
• [cs.LG]PettingZoo: Gym for Multi-Agent Reinforcement Learning
Justin K. Terry, Benjamin Black, Ananth Hari, Luis Santos, Clemens Dieffendahl, Niall L. Williams, Yashas Lokesh, Caroline Horsch, Praveen Ravi
http://arxiv.org/abs/2009.14471v1
• [cs.LG]Rain Code : Forecasting Spatiotemporal Precipitation based on Multi-frames Feature using ConvLSTM
Yasuno Takato, Ishii Akira, Amakata Masazumi
http://arxiv.org/abs/2009.14573v1
• [cs.LG]Regress Consistently when Oblivious Outliers Overwhelm
Tommaso d’Orsi, Gleb Novikov, David Steurer
http://arxiv.org/abs/2009.14774v1
• [cs.LG]ResGCN: Attention-based Deep Residual Modeling for Anomaly Detection on Attributed Networks
Yulong Pei, Tianjin Huang, Werner van Ipenburg, Mykola Pechenizkiy
http://arxiv.org/abs/2009.14738v1
• [cs.LG]Rethinking Attention with Performers
Krzysztof Choromanski, Valerii Likhosherstov, David Dohan, Xingyou Song, Andreea Gane, Tamas Sarlos, Peter Hawkins, Jared Davis, Afroz Mohiuddin, Lukasz Kaiser, David Belanger, Lucy Colwell, Adrian Weller
http://arxiv.org/abs/2009.14794v1
• [cs.LG]Some Remarks on Replicated Simulated Annealing
Vincent Gripon, Matthias Löwe, Franck Vermet
http://arxiv.org/abs/2009.14702v1
• [cs.LG]Spectral Embedding of Graph Networks
Shay Deutsch, Stefano Soatto
http://arxiv.org/abs/2009.14441v1
• [cs.LG]Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks
Yoonho Boo, Sungho Shin, Jungwook Choi, Wonyong Sung
http://arxiv.org/abs/2009.14502v1
• [cs.LG]StratLearner: Learning a Strategy for Misinformation Prevention in Social Networks
Guangmo Tong
http://arxiv.org/abs/2009.14337v1
• [cs.LG]The Role of Isomorphism Classes in Multi-Relational Datasets
Vijja Wichitwechkarn, Ben Day, Cristian Bodnar, Matthew Wales, Pietro Liò
http://arxiv.org/abs/2009.14593v1
• [cs.LG]Trustworthy Convolutional Neural Networks: A Gradient Penalized-based Approach
Nicholas Halliwell, Freddy Lecue
http://arxiv.org/abs/2009.14260v1
• [cs.LG]Uncovering Feature Interdependencies with Non-Greedy Random Forests
Delilah Donick, Sandro Claudio Lera
http://arxiv.org/abs/2009.14572v1
• [cs.LG]Where Does Trust Break Down? A Quantitative Trust Analysis of Deep Neural Networks via Trust Matrix and Conditional Trust Densities
Andrew Hryniowski, Xiao Yu Wang, Alexander Wong
http://arxiv.org/abs/2009.14701v1
• [cs.MS]Accelerating Sparse Matrix-Matrix Multiplication with GPU Tensor Cores
Orestis Zachariadis, Nitin Satpute, Juan Gómez-Luna, Joaquín Olivares
http://arxiv.org/abs/2009.14600v1
• [cs.MS]ParaMonte: A high-performance serial/parallel Monte Carlo simulation library for C, C++, Fortran
Amir Shahmoradi, Fatemeh Bagheri
http://arxiv.org/abs/2009.14229v1
• [cs.NE]A Coevolutionary Variable Neighborhood Search Algorithm for Discrete Multitasking (CoVNS): Application to Community Detection over Graphs
Eneko Osaba, Esther Villar-Rodriguez, Javier Del Ser
http://arxiv.org/abs/2009.14477v1
• [cs.NE]A Framework to Handle Multi-modal Multi-objective Optimization in Decomposition-based Evolutionary Algorithms
Ryoji Tanabe, Hisao Ishibuchi
http://arxiv.org/abs/2009.14700v1
• [cs.NE]Linear Matrix Factorization Embeddings for Single-objective Optimization Landscapes
Tome Eftimov, Gorjan Popovski, Quentin Renau, Peter Korosec, Carola Doerr
http://arxiv.org/abs/2009.14506v1
• [cs.NE]Non-elitist Evolutionary Multi-objective Optimizers Revisited
Ryoji Tanabe, Hisao Ishibuchi
http://arxiv.org/abs/2009.14717v1
• [cs.NE]Strategy and Benchmark for Converting Deep Q-Networks to Event-Driven Spiking Neural Networks
Weihao Tan, Devdhar Patel, Robert Kozma
http://arxiv.org/abs/2009.14456v1
• [cs.NI]A General Framework for Charger Scheduling Optimization Problems
Xuan Li, Miao Jin
http://arxiv.org/abs/2009.14428v1
• [cs.RO]Encoding cloth manipulations using a graph of states and transitions
Júlia Borràs, Guillem Alenyà, Carme Torras
http://arxiv.org/abs/2009.14681v1
• [cs.RO]Explainable Deep Reinforcement Learning for UAV Autonomous Navigation
Lei He, Aouf Nabil, Bifeng Song
http://arxiv.org/abs/2009.14551v1
• [cs.RO]Meta Partial Benders Decomposition for the Logistics Service Network Design Problem
Simon Belieres, Mike Hewitt, Nicolas Jozefowiez, Frédéric Semet
http://arxiv.org/abs/2009.14628v1
• [cs.RO]Multi-Pen Robust Robotic 3D Drawing Using Closed-Loop Planning
Ruishuang Liu, Weiwei Wan, Keisuke Koyama, Kensuke Harada
http://arxiv.org/abs/2009.14501v1
• [cs.RO]Reality-assisted evolution of soft robots through large-scale physical experimentation: a review
Toby Howison, Simon Hauser, Josie Hughes, Fumiya Iida
http://arxiv.org/abs/2009.13960v2
• [cs.RO]S3K: Self-Supervised Semantic Keypoints for Robotic Manipulation via Multi-View Consistency
Mel Vecerik, Jean-Baptiste Regli, Oleg Sushkov, David Barker, Rugile Pevceviciute, Thomas Rothörl, Christopher Schuster, Raia Hadsell, Lourdes Agapito, Jonathan Scholz
http://arxiv.org/abs/2009.14711v1
• [cs.RO]Towards Target-Driven Visual Navigation in Indoor Scenes via Generative Imitation Learning
Qiaoyun Wu, Xiaoxi Gong, Kai Xu, Dinesh Manocha, Jingxuan Dong, Jun Wang
http://arxiv.org/abs/2009.14509v1
• [cs.SI]Weight Prediction for Variants of Weighted Directed Networks
Dong Quan Ngoc Nguyen, Lin Xing, Lizhen Lin
http://arxiv.org/abs/2009.14311v1
• [econ.EM]Local Regression Distribution Estimators
Matias D. Cattaneo, Michael Jansson, Xinwei Ma
http://arxiv.org/abs/2009.14367v1
• [eess.AS]Embedded Emotions — A Data Driven Approach to Learn Transferable Feature Representations from Raw Speech Input for Emotion Recognition
Dominik Schiller, Silvan Mertes, Elisabeth André
http://arxiv.org/abs/2009.14523v1
• [eess.AS]Transfer Learning from Monolingual ASR to Transcription-free Cross-lingual Voice Conversion
Che-Jui Chang
http://arxiv.org/abs/2009.14668v1
• [eess.IV]COVID-CT-MD: COVID-19 Computed Tomography (CT) Scan Dataset Applicable in Machine Learning and Deep Learning
Parnian Afshar, Shahin Heidarian, Nastaran Enshaei, Farnoosh Naderkhani, Moezedin Javad Rafiee, Anastasia Oikonomou, Faranak Babaki Fard, Kaveh Samimi, Konstantinos N. Plataniotis, Arash Mohammadi
http://arxiv.org/abs/2009.14623v1
• [eess.IV]Enhanced Standard Compatible Image Compression Framework based on Auxiliary Codec Networks
Hanbin Son, Taeoh Kim, Hyeongmin Lee, Sangyoun Lee
http://arxiv.org/abs/2009.14754v1
• [eess.IV]FAN: Frequency Aggregation Network for Real Image Super-resolution
Yingxue Pang, Xin Li, Xin Jin, Yaojun Wu, Jianzhao Liu, Sen Liu, Zhibo Chen
http://arxiv.org/abs/2009.14547v1
• [eess.IV]Learning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-time
Hui Zeng, Jianrui Cai, Lida Li, Zisheng Cao, Lei Zhang
http://arxiv.org/abs/2009.14468v1
• [eess.IV]Learning an optimal PSF-pair for ultra-dense 3D localization microscopy
Elias Nehme, Boris Ferdman, Lucien E. Weiss, Tal Naor, Daniel Freedman, Tomer Michaeli, Yoav Shechtman
http://arxiv.org/abs/2009.14303v1
• [eess.IV]Multi-focus Image Fusion for Visual Sensor Networks
Milad Abdollahzadeh, Touba Malekzadeh, Hadi Seyedarabi
http://arxiv.org/abs/2009.13615v2
• [eess.IV]TorchRadon: Fast Differentiable Routines for Computed Tomography
Matteo Ronchetti
http://arxiv.org/abs/2009.14788v1
• [eess.SP]Hidden Markov Models for Pipeline Damage Detection Using Piezoelectric Transducers
Mingchi Zhang, Xuemin Chen, Wei Li
http://arxiv.org/abs/2009.14589v1
• [eess.SP]Learning to Beamform for Intelligent Reflecting Surface with Implicit Channel Estimate
Tao Jiang, Hei Victor Cheng, Wei Yu
http://arxiv.org/abs/2009.14404v1
• [eess.SY]Co-design of Control and Planning for Multi-rotor UAVs with Signal Temporal Logic Specifications
Yash Vardhan Pant, He Yin, Murat Arcak, Sanjit A. Seshia
http://arxiv.org/abs/2009.14363v1
• [eess.SY]Cooperative Path Integral Control for Stochastic Multi-Agent Systems
Neng Wan, Aditya Gahlawat, Naira Hovakimyan, Evangelos A. Theodorou, Petros G. Voulgaris
http://arxiv.org/abs/2009.14775v1
• [eess.SY]Efficient, Decentralized, and Collaborative Multi-Robot Exploration using Optimal Transport Theory
Rabiul Hasan Kabir, Kooktae Lee
http://arxiv.org/abs/2009.14434v1
• [eess.SY]Frequency-Domain Modelling of Reset Control Systems using an Impulsive Description
R. N. Buitenhuis, N. Saikumar, S. H. HosseinNia
http://arxiv.org/abs/2009.13341v2
• [math.OC]Accelerating Optimization and Reinforcement Learning with Quasi-Stochastic Approximation
Shuhang Chen, Adithya Devraj, Andrey Bernstein, Sean Meyn
http://arxiv.org/abs/2009.14431v1
• [math.OC]First-order Optimization for Superquantile-based Supervised Learning
Yassine Laguel, Jérôme Malick, Zaid Harchaoui
http://arxiv.org/abs/2009.14575v1
• [math.OC]Optimal Control of Industrial Assembly Lines
Francesco Liberati, Andrea Tortorelli, Cesar Mazquiaran, Muhammad Imran, Martina Panfili
http://arxiv.org/abs/2009.14549v1
• [math.OC]Wasserstein Distributionally Robust Inverse Multiobjective Optimization
Chaosheng Dong, Bo Zeng
http://arxiv.org/abs/2009.14552v1
• [math.PR]Couplings for Andersen Dynamics
Nawaf Bou-Rabee, Andreas Eberle
http://arxiv.org/abs/2009.14239v1
• [math.ST]Benign overfitting in ridge regression
A. Tsigler, P. L. Bartlett
http://arxiv.org/abs/2009.14286v1
• [math.ST]Testing for linearity in boundary regression models with application to maximal life expectancies
Jürgen Kampf, Alexander Meister
http://arxiv.org/abs/2009.14761v1
• [q-bio.QM]Learning to swim in potential flow
Yusheng Jiao, Feng Ling, Sina Heydari, Nicolas Heess, Josh Merel, Eva Kanso
http://arxiv.org/abs/2009.14280v1
• [stat.AP]Enhanced Bayesian Model Updating with Incomplete Modal Information Using Parallel, Interactive and Adaptive Markov Chains
Kai Zhou, Jiong Tang
http://arxiv.org/abs/2009.14249v1
• [stat.AP]Using sex and gender in survey adjustment
Lauren Kennedy, Katharine Khanna, Daniel Simpson, Andrew Gelman
http://arxiv.org/abs/2009.14401v1
• [stat.ME]Double/Debiased Machine Learning for Logistic Partially Linear Model
Molei Liu, Yi Zhang, Doudou Zhou
http://arxiv.org/abs/2009.14461v1
• [stat.ME]Maximum Entropy classification for record linkage
Danhyang Lee, Li-Chun Zhang, Jae-Kwang Kim
http://arxiv.org/abs/2009.14797v1
• [stat.ME]On Mendelian Randomization Mixed-Scale Treatment Effect Robust Identification (MR MiSTERI) and Estimation for Causal Inference
Zhonghua Liu, Ting Ye, Baoluo Sun, Mary Schooling, Eric Tchetgen Tchetgen
http://arxiv.org/abs/2009.14484v1
• [stat.ME]Space-Time Covariance Models on Networks with An Application on Streams
Jun Tang, Dale Zimmerman
http://arxiv.org/abs/2009.14745v1
• [stat.ME]Spatial Statistical Models: an overview under the Bayesian Approach
Francisco Louzada, Diego C. Nascimento, Osafu Augustine Egbon
http://arxiv.org/abs/2009.14371v1
• [stat.ME]The Illusion of the Illusion of Sparsity: An exercise in prior sensitivity
Bruno Fava, Hedibert F. Lopes
http://arxiv.org/abs/2009.14296v1
• [stat.ML]Accurate and Robust Feature Importance Estimation under Distribution Shifts
Jayaraman J. Thiagarajan, Vivek Narayanaswamy, Rushil Anirudh, Peer-Timo Bremer, Andreas Spanias
http://arxiv.org/abs/2009.14454v1
• [stat.ML]Ask-n-Learn: Active Learning via Reliable Gradient Representations for Image Classification
Bindya Venkatesh, Jayaraman J. Thiagarajan
http://arxiv.org/abs/2009.14448v1
• [stat.ML]Deep Equals Shallow for ReLU Networks in Kernel Regimes
Alberto Bietti, Francis Bach
http://arxiv.org/abs/2009.14397v1
• [stat.ML]EWS-GCN: Edge Weight-Shared Graph Convolutional Network for Transactional Banking Data
Ivan Sukharev, Valentina Shumovskaia, Kirill Fedyanin, Maxim Panov, Dmitry Berestnev
http://arxiv.org/abs/2009.14588v1
• [stat.ML]Few-shot Learning for Time-series Forecasting
Tomoharu Iwata, Atsutoshi Kumagai
http://arxiv.org/abs/2009.14379v1
• [stat.ML]Modelisation of competition between times series
Rémy Garnier
http://arxiv.org/abs/2009.14610v1
• [stat.ML]Statistical control for spatio-temporal MEG/EEG source imaging with desparsified multi-task Lasso
Jérôme-Alexis Chevalier, Alexandre Gramfort, Joseph Salmon, Bertrand Thirion
http://arxiv.org/abs/2009.14310v1
• [stat.ML]Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks
Uday Shankar Shanthamallu, Jayaraman J. Thiagarajan, Andreas Spanias
http://arxiv.org/abs/2009.14455v1