cs.AI - 人工智能
cs.AR - 硬件体系结构
cs.CL - 计算与语言
cs.CR - 加密与安全
cs.CV - 机器视觉与模式识别
cs.CY - 计算与社会
cs.DC - 分布式、并行与集群计算
cs.DL - 数字图书馆
cs.DS - 数据结构与算法
cs.GR - 计算机图形学
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.RO - 机器人学
cs.SE - 软件工程
cs.SI - 社交网络与信息网络
econ.GN - 一般经济学
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.CO - 组合数学
math.OC - 优化与控制
math.ST - 统计理论
physics.comp-ph - 计算物理学
physics.soc-ph - 物理学与社会
q-bio.QM - 定量方法
q-fin.MF - 数学金融
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
• [cs.AI]An expressiveness hierarchy of Behavior Trees and related architectures
• [cs.AI]Membership Inference Attacks on Knowledge Graphs
• [cs.AI]On the Complexity of SHAP-Score-Based Explanations: Tractability via Knowledge Compilation and Non-Approximability Results
• [cs.AR]pLUTo: In-DRAM Lookup Tables to Enable Massively Parallel General-Purpose Computation
• [cs.CL]: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering
• [cs.CL]A Comparative Study on Collecting High-Quality Implicit Reasonings at a Large-scale
• [cs.CL]A Million Tweets Are Worth a Few Points: Tuning Transformers for Customer Service Tasks
• [cs.CL]An Adversarially-Learned Turing Test for Dialog Generation Models
• [cs.CL]An Empirical Study of Extrapolation in Text Generation with Scalar Control
• [cs.CL]Back to Square One: Bias Detection, Training and Commonsense Disentanglement in the Winograd Schema
• [cs.CL]Context-Adaptive Document-Level Neural Machine Translation
• [cs.CL]Cost-effective End-to-end Information Extraction for Semi-structured Document Images
• [cs.CL]Data Augmentation for Voice-Assistant NLU using BERT-based Interchangeable Rephrase
• [cs.CL]Detect and Classify — Joint Span Detection and Classification for Health Outcomes
• [cs.CL]Detecting Polarized Topics in COVID-19 News Using Partisanship-aware Contextualized Topic Embeddings
• [cs.CL]Distantly Supervised Relation Extraction with Sentence Reconstruction and Knowledge Base Priors
• [cs.CL]Editing Factual Knowledge in Language Models
• [cs.CL]Effect of Vision-and-Language Extensions on Natural Language Understanding in Vision-and-Language Models
• [cs.CL]Fast, Effective and Self-Supervised: Transforming Masked LanguageModels into Universal Lexical and Sentence Encoders
• [cs.CL]Generating Bug-Fixes Using Pretrained Transformers
• [cs.CL]Improving Zero-Shot Multi-Lingual Entity Linking
• [cs.CL]IndoNLG: Benchmark and Resources for Evaluating Indonesian Natural Language Generation
• [cs.CL]Is Your Language Model Ready for Dense Representation Fine-tuning?
• [cs.CL]LU-BZU at SemEval-2021 Task 2: Word2Vec and Lemma2Vec performance in Arabic Word-in-Context disambiguation
• [cs.CL]Language Models are Few-Shot Butlers
• [cs.CL]Learning Evolved Combinatorial Symbols with a Neuro-symbolic Generative Model
• [cs.CL]MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning
• [cs.CL]Modeling Fuzzy Cluster Transitions for Topic Tracing
• [cs.CL]Natural Language Inference with a Human Touch: Using Human Explanations to Guide Model Attention
• [cs.CL]Optimal Size-Performance Tradeoffs: Weighing PoS Tagger Models
• [cs.CL]Probing Across Time: What Does RoBERTa Know and When?
• [cs.CL]ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation
• [cs.CL]Robust Open-Vocabulary Translation from Visual Text Representations
• [cs.CL]Search-oriented Differentiable Product Quantization
• [cs.CL]Segmenting Subtitles for Correcting ASR Segmentation Errors
• [cs.CL]Serial or Parallel? Plug-able Adapter for multilingual machine translation
• [cs.CL]Sublanguage: A Serious Issue Affects Pretrained Models in Legal Domain
• [cs.CL]Temporal Adaptation of BERT and Performance on Downstream Document Classification: Insights from Social Media
• [cs.CL]To Share or not to Share: Predicting Sets of Sources for Model Transfer Learning
• [cs.CL]Towards Robust Neural Retrieval Models with Synthetic Pre-Training
• [cs.CL]Towards Variable-Length Textual Adversarial Attacks
• [cs.CL]Translational NLP: A New Paradigm and General Principles for Natural Language Processing Research
• [cs.CL]Variable Instance-Level Explainability for Text Classification
• [cs.CL]What to Pre-Train on? Efficient Intermediate Task Selection
• [cs.CL]Word2rate: training and evaluating multiple word embeddings as statistical transitions
• [cs.CL]proScript: Partially Ordered Scripts Generation via Pre-trained Language Models
• [cs.CR]Holmes: An Efficient and Lightweight Semantic Based Anomalous Email Detector
• [cs.CR]Trust but Verify: Cryptographic Data Privacy for Mobility Management
• [cs.CV]A De-raining semantic segmentation network for real-time foreground segmentation
• [cs.CV]Advanced Deep Networks for 3D Mitochondria Instance Segmentation
• [cs.CV]Cross-Modal Retrieval Augmentation for Multi-Modal Classification
• [cs.CV]Divide-and-Conquer for Lane-Aware Diverse Trajectory Prediction
• [cs.CV]Ego-Exo: Transferring Visual Representations from Third-person to First-person Videos
• [cs.CV]Exploiting Global and Local Attentions for Heavy Rain Removal on Single Images
• [cs.CV]Fusing the Old with the New: Learning Relative Camera Pose with Geometry-Guided Uncertainty
• [cs.CV]Grassmann Iterative Linear Discriminant Analysis with Proxy Matrix Optimization
• [cs.CV]Histopathology WSI Encoding based on GCNs for Scalable and Efficient Retrieval of Diagnostically Relevant Regions
• [cs.CV]I Find Your Lack of Uncertainty in Computer Vision Disturbing
• [cs.CV]Identifying Water Stress in Chickpea Plant by Analyzing Progressive Changes in Shoot Images using Deep Learning
• [cs.CV]LAI Estimation of Cucumber Crop Based on Improved Fully Convolutional Network
• [cs.CV]Learning Implicit 3D Representations of Dressed Humans from Sparse Views
• [cs.CV]Learning to Reconstruct 3D Non-Cuboid Room Layout from a Single RGB Image
• [cs.CV]Locally Aware Piecewise Transformation Fields for 3D Human Mesh Registration
• [cs.CV]MeshTalk: 3D Face Animation from Speech using Cross-Modality Disentanglement
• [cs.CV]Noise-Aware Saliency Prediction for Videos with Incomplete Gaze Data
• [cs.CV]Occlusion-aware Visual Tracker using Spatial Structural Information and Dominant Features
• [cs.CV]OmniFlow: Human Omnidirectional Optical Flow
• [cs.CV]Open data for Moroccan license plates for OCR applications : data collection, labeling, and model construction
• [cs.CV]Pareto Self-Supervised Training for Few-Shot Learning
• [cs.CV]Point-Based Modeling of Human Clothing
• [cs.CV]Polynomial Networks in Deep Classifiers
• [cs.CV]SSPC-Net: Semi-supervised Semantic 3D Point Cloud Segmentation Network
• [cs.CV]ScreenSeg: On-Device Screenshot Layout Analysis
• [cs.CV]Self-supervised Video Retrieval Transformer Network
• [cs.CV]Semantic Image Matting
• [cs.CV]Shadow-Mapping for Unsupervised Neural Causal Discovery
• [cs.CV]Spatiotemporal Deformable Models for Long-Term Complex Activity Detection
• [cs.CV]T-LEAP: occlusion-robust pose estimation of walking cows using temporal information
• [cs.CV]TEACHTEXT: CrossModal Generalized Distillation for Text-Video Retrieval
• [cs.CV]TeLCoS: OnDevice Text Localization with Clustering of Script
• [cs.CV]Temporally smooth online action detection using cycle-consistent future anticipation
• [cs.CV]Towards Human-Understandable Visual Explanations:Imperceptible High-frequency Cues Can Better Be Removed
• [cs.CV]VGNMN: Video-grounded Neural Module Network to Video-Grounded Language Tasks
• [cs.CV]Weakly Supervised Object Localization and Detection: A Survey
• [cs.CV]Write-a-speaker: Text-based Emotional and Rhythmic Talking-head Generation
• [cs.CY]An Analysis of Impact Pathways arising from a Mobile-based Community Media Platform in Rural India
• [cs.CY]Comparative Study of Learning Outcomes for Online Learning Platforms
• [cs.CY]Thinking Through and Writing About Research Ethics Beyond “Broader Impact”
• [cs.DC]Evaluation of Portable Acceleration Solutions for LArTPC Simulation Using Wire-Cell Toolkit
• [cs.DC]Implementing CNN Layers on the Manticore Cluster-Based Many-Core Architecture
• [cs.DC]ZeRO-Infinity: Breaking the GPU Memory Wall for Extreme Scale Deep Learning
• [cs.DL]Citations are not opinions: a corpus linguistics approach to understanding how citations are made
• [cs.DS]Shared-Memory n-level Hypergraph Partitioning
• [cs.GR]Signed Distance Function Computation from an Implicit Surface
• [cs.HC]Broccoli: Sprinkling Lightweight Vocabulary Learning into Everyday Information Diets
• [cs.IR]Faithfully Explainable Recommendation via Neural Logic Reasoning
• [cs.IR]Hierarchical Topic Presence Models
• [cs.IR]Optimizing Dense Retrieval Model Training with Hard Negatives
• [cs.IR]Variational Inference for Category Recommendation in E-Commerce platforms
• [cs.IT]A Further Study of Quadratic APN Permutations in Dimension Nine
• [cs.IT]A Simple Single RF-Chain Multi-Antenna Full-Duplex Relay Can Outperform An Intelligent Reflecting Surface
• [cs.IT]Autoencoder-Based Unequal Error Protection Codes
• [cs.IT]Cell-Free Massive MIMO with Large-Scale Fading Decoding and Dynamic Cooperation Clustering
• [cs.IT]Coverage Probability and Energy Efficiency of Reconfigurable Intelligent Surface-Assisted mmWave Networks
• [cs.IT]Low Row Rank Parity Check Codes
• [cs.IT]Mismatched Models to Lower Bound the Capacity of Dual-Polarization Optical Fiber Channels
• [cs.LG]”BNN - BN = ?”: Training Binary Neural Networks without Batch Normalization
• [cs.LG]A Study of Graph-Based Approaches for Semi-Supervised Time Series Classification
• [cs.LG]Achieving differential privacy for -nearest neighbors based outlier detection by data partitioning
• [cs.LG]Back to the Basics: A Quantitative Analysis of Statistical and Graph-Based Term Weighting Schemes for Keyword Extraction
• [cs.LG]CSAFL: A Clustered Semi-Asynchronous Federated Learning Framework
• [cs.LG]Capturing patterns of variation unique to a specific dataset
• [cs.LG]Controlled abstention neural networks for identifying skillful predictions for regression problems
• [cs.LG]Deep Stable Learning for Out-Of-Distribution Generalization
• [cs.LG]Distributed TD(0) with Almost No Communication
• [cs.LG]Efficient and Generic 1D Dilated Convolution Layer for Deep Learning
• [cs.LG]Faithful and Plausible Explanations of Medical Code Predictions
• [cs.LG]FedCom: A Byzantine-Robust Local Model Aggregation Rule Using Data Commitment for Federated Learning
• [cs.LG]Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks
• [cs.LG]Improving Hyper-Relational Knowledge Graph Completion
• [cs.LG]Interval-censored Hawkes processes
• [cs.LG]MEG: Generating Molecular Counterfactual Explanations for Deep Graph Networks
• [cs.LG]Machine Learning Approaches for Type 2 Diabetes Prediction and Care Management
• [cs.LG]NePTuNe: Neural Powered Tucker Network for Knowledge Graph Completion
• [cs.LG]NePTuNe: Neural Powered Tucker Network for Knowledge Graph Completion
• [cs.LG]NoisyCUR: An algorithm for two-cost budgeted matrix completion
• [cs.LG]Orthogonal Features Based EEG Signals Denoising Using Fractional and Compressed One-Dimensional CNN AutoEncoder
• [cs.LG]Overfitting in Bayesian Optimization: an empirical study and early-stopping solution
• [cs.LG]Personalized Semi-Supervised Federated Learning for Human Activity Recognition
• [cs.LG]Probing artificial neural networks: insights from neuroscience
• [cs.LG]PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models
• [cs.LG]Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks
• [cs.LG]SGL: Spectral Graph Learning from Measurements
• [cs.LG]Safe Exploration in Model-based Reinforcement Learning using Control Barrier Functions
• [cs.LG]Skeletal Feature Compensation for Imitation Learning with Embodiment Mismatch
• [cs.LG]Split Learning Meets Koopman Theory for Wireless Remote Monitoring and Prediction
• [cs.LG]Towards Standardizing Reinforcement Learning Approaches for Stochastic Production Scheduling
• [cs.LG]Uncertainty Surrogates for Deep Learning
• [cs.LG]Why Machine Learning Integrated Patient Flow Simulation?
• [cs.NE]A New Pathway to Approximate Energy Expenditure and Recovery of an Athlete
• [cs.NE]A Novel Surrogate-assisted Evolutionary Algorithm Applied to Partition-based Ensemble Learning
• [cs.NE]ALF — A Fitness-Based Artificial Life Form for Evolving Large-Scale Neural Networks
• [cs.NE]An exploration of asocial and social learning in the evolution of variable-length structures
• [cs.NE]Evolving and Merging Hebbian Learning Rules: Increasing Generalization by Decreasing the Number of Rules
• [cs.NE]Explorative Data Analysis of Time Series based AlgorithmFeatures of CMA-ES Variants
• [cs.RO]Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills
• [cs.RO]DREAM Lite: Simplifying Robot Assisted Therapy for ASD
• [cs.RO]FireFly Autonomous Drone Project
• [cs.RO]Hierarchical Human-Motion Prediction and Logic-Geometric Programming for Minimal Interference Human-Robot Tasks
• [cs.RO]MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale
• [cs.RO]Pylot: A Modular Platform for Exploring Latency-Accuracy Tradeoffs in Autonomous Vehicles
• [cs.RO]Robot to support older people to live independently
• [cs.RO]Task Space Planning with Complementarity Constraint-based Obstacle Avoidance
• [cs.SE]BERT2Code: Can Pretrained Language Models be Leveraged for Code Search?
• [cs.SI]Hop-Count Based Self-Supervised Anomaly Detection on Attributed Networks
• [cs.SI]Impact of gender on the formation and outcome of mentoring relationships in academic research
• [econ.GN]Micro-Estimates of Wealth for all Low- and Middle-Income Countries
• [eess.AS]TalkNet 2: Non-Autoregressive Depth-Wise Separable Convolutional Model Stanislav Beliaev, Boris Ginsburgfor Speech Synthesis with Explicit Pitch and Duration Prediction
• [eess.IV]Attention! Stay Focus!
• [eess.IV]Automatic quality control of brain T1-weighted magnetic resonance images for a clinical data warehouse
• [eess.SP]OpenCSI: An Open-Source Dataset for Indoor Localization Using CSI-Based Fingerprinting
• [eess.SY]Adaptive Robust Model Predictive Control with Matched and Unmatched Uncertainty
• [eess.SY]An Overview of Digital Twins Application Domains in Smart Energy Grid
• [eess.SY]On the Importance of Trust in Next-Generation Networked CPS Systems: An AI Perspective
• [math.CO]Sharp bounds for the number of regions of maxout networks and vertices of Minkowski sums
• [math.OC]Data-driven Optimization Model for Global Covid-19 Intervention Plans
• [math.ST]A Bivariate Beta Distribution with Arbitrary Beta Marginals and its Generalization to a Correlated Dirichlet Distribution
• [math.ST]Adaptive efficient robust sequential analysis for autoregressive big data models
• [math.ST]Estimation of the Global Mode of a Density: Minimaxity, Adaptation, and Computational Complexity
• [math.ST]New perspectives on knockoffs construction
• [physics.comp-ph]Enabling Electronic Structure-Based Ab-Initio Molecular Dynamics Simulations with Hundreds of Millions of Atoms
• [physics.soc-ph]Memory Order Decomposition of Symbolic Sequences
• [q-bio.QM]Predicting the Binding of SARS-CoV-2 Peptides to the Major Histocompatibility Complex with Recurrent Neural Networks
• [q-fin.MF]Removing non-smoothness in solving Black-Scholes equation using a perturbation method
• [quant-ph]Quantum Architecture Search via Deep Reinforcement Learning
• [stat.AP]Is there a cap on longevity? A statistical review
• [stat.ME]A robust specification test in linear panel data models
• [stat.ME]Analysis of multiple data sequences with different distributions: defining common principal component axes by ergodic sequence generation and multiple reweighting composition
• [stat.ME]Estimating and Improving Dynamic Treatment Regimes With a Time-Varying Instrumental Variable
• [stat.ME]Fast ABC with joint generative modelling and subset simulation
• [stat.ME]Heterogeneous Tensor Mixture Models in High Dimensions
• [stat.ME]Multiple Outlier Testing with Conformal p-values
• [stat.ME]The SIR-P Model: An Illustration of the Screening Paradox
• [stat.ME]re:Linde et al. (2021) — The Bayes factor, HDI-ROPE and frequentist equivalence testing are actually all equivalent
• [stat.ML]Bayesian matrix completion with a spectral scaled Student prior: theoretical guarantee and efficient sampling
• [stat.ML]Data Generating Process to Evaluate Causal Discovery Techniques for Time Series Data
• [stat.ML]Finding Motifs in Knowledge Graphs using Compression
• [stat.ML]Integrating Domain Knowledge in Data-driven Earth Observation with Process Convolutions
• [stat.ML]Probabilistic water demand forecasting using quantile regression algorithms
• [stat.ML]Random Persistence Diagram Generation
·····································
• [cs.AI]An expressiveness hierarchy of Behavior Trees and related architectures
Oliver Biggar, Mohammad Zamani, Iman Shames
http://arxiv.org/abs/2104.07919v1
• [cs.AI]Membership Inference Attacks on Knowledge Graphs
Yu Wang, Lichao Sun
http://arxiv.org/abs/2104.08273v1
• [cs.AI]On the Complexity of SHAP-Score-Based Explanations: Tractability via Knowledge Compilation and Non-Approximability Results
Marcelo Arenas, Pablo Barceló, Leopoldo Bertossi, Mikaël Monet
http://arxiv.org/abs/2104.08015v1
• [cs.AR]pLUTo: In-DRAM Lookup Tables to Enable Massively Parallel General-Purpose Computation
João Dinis Ferreira, Gabriel Falcao, Juan Gómez-Luna, Mohammed Alser, Lois Orosa, Mohammad Sadrosadati, Jeremie S. Kim, Geraldo F. Oliveira, Taha Shahroodi, Anant Nori, Onur Mutlu
http://arxiv.org/abs/2104.07699v1
• [cs.CL]: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering
Or Honovich, Leshem Choshen, Roee Aharoni, Ella Neeman, Idan Szpektor, Omri Abend
http://arxiv.org/abs/2104.08202v1
• [cs.CL]A Comparative Study on Collecting High-Quality Implicit Reasonings at a Large-scale
Keshav Singh, Paul Reisert, Naoya Inoue, Kentaro Inui
http://arxiv.org/abs/2104.07924v1
• [cs.CL]A Million Tweets Are Worth a Few Points: Tuning Transformers for Customer Service Tasks
Amir Hadifar, Sofie Labat, Véronique Hoste, Chris Develder, Thomas Demeester
http://arxiv.org/abs/2104.07944v1
• [cs.CL]An Adversarially-Learned Turing Test for Dialog Generation Models
Xiang Gao, Yizhe Zhang, Michel Galley, Bill Dolan
http://arxiv.org/abs/2104.08231v1
• [cs.CL]An Empirical Study of Extrapolation in Text Generation with Scalar Control
Aashi Jain, Taylor Berg-Kirkpatrick
http://arxiv.org/abs/2104.07910v1
• [cs.CL]Back to Square One: Bias Detection, Training and Commonsense Disentanglement in the Winograd Schema
Yanai Elazar, Hongming Zhang, Yoav Goldberg, Dan Roth
http://arxiv.org/abs/2104.08161v1
• [cs.CL]Context-Adaptive Document-Level Neural Machine Translation
Linlin Zhang
http://arxiv.org/abs/2104.08259v1
• [cs.CL]Cost-effective End-to-end Information Extraction for Semi-structured Document Images
Wonseok Hwang, Hyunji Lee, Jinyeong Yim, Geewook Kim, Minjoon Seo
http://arxiv.org/abs/2104.08041v1
• [cs.CL]Data Augmentation for Voice-Assistant NLU using BERT-based Interchangeable Rephrase
Akhila Yerukola, Mason Bretan, Hongxia Jin
http://arxiv.org/abs/2104.08268v1
• [cs.CL]Detect and Classify — Joint Span Detection and Classification for Health Outcomes
Michael Abaho, Danushka Bollegala, Paula Williamson, Susanna Dodd
http://arxiv.org/abs/2104.07789v1
• [cs.CL]Detecting Polarized Topics in COVID-19 News Using Partisanship-aware Contextualized Topic Embeddings
Zihao He, Negar Mokhberian, Antonio Camara, Andres Abeliuk, Kristina Lerman
http://arxiv.org/abs/2104.07814v1
• [cs.CL]Distantly Supervised Relation Extraction with Sentence Reconstruction and Knowledge Base Priors
Fenia Christopoulou, Makoto Miwa, Sophia Ananiadou
http://arxiv.org/abs/2104.08225v1
• [cs.CL]Editing Factual Knowledge in Language Models
Nicola De Cao, Wilker Aziz, Ivan Titov
http://arxiv.org/abs/2104.08164v1
• [cs.CL]Effect of Vision-and-Language Extensions on Natural Language Understanding in Vision-and-Language Models
Taichi Iki, Akiko Aizawa
http://arxiv.org/abs/2104.08066v1
• [cs.CL]Fast, Effective and Self-Supervised: Transforming Masked LanguageModels into Universal Lexical and Sentence Encoders
Fangyu Liu, Ivan Vulić, Anna Korhonen, Nigel Collier
http://arxiv.org/abs/2104.08027v1
• [cs.CL]Generating Bug-Fixes Using Pretrained Transformers
Dawn Drain, Chen Wu, Alexey Svyatkovskiy, Neel Sundaresan
http://arxiv.org/abs/2104.07896v1
• [cs.CL]Improving Zero-Shot Multi-Lingual Entity Linking
Elliot Schumacher, James Mayfield, Mark Dredze
http://arxiv.org/abs/2104.08082v1
• [cs.CL]IndoNLG: Benchmark and Resources for Evaluating Indonesian Natural Language Generation
Samuel Cahyawijaya, Genta Indra Winata, Bryan Wilie, Karissa Vincentio, Xiaohong Li, Adhiguna Kuncoro, Sebastian Ruder, Zhi Yuan Lim, Syafri Bahar, Masayu Leylia Khodra, Ayu Purwarianti, Pascale Fung
http://arxiv.org/abs/2104.08200v1
• [cs.CL]Is Your Language Model Ready for Dense Representation Fine-tuning?
Luyu Gao, Jamie Callan
http://arxiv.org/abs/2104.08253v1
• [cs.CL]LU-BZU at SemEval-2021 Task 2: Word2Vec and Lemma2Vec performance in Arabic Word-in-Context disambiguation
Moustafa Al-Hajj, Mustafa Jarrar
http://arxiv.org/abs/2104.08110v1
• [cs.CL]Language Models are Few-Shot Butlers
Vincent Micheli, François Fleuret
http://arxiv.org/abs/2104.07972v1
• [cs.CL]Learning Evolved Combinatorial Symbols with a Neuro-symbolic Generative Model
Matthias Hofer, Tuan Anh Le, Roger Levy, Josh Tenenbaum
http://arxiv.org/abs/2104.08274v1
• [cs.CL]MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning
Mengzhou Xia, Guoqing Zheng, Subhabrata Mukherjee, Milad Shokouhi, Graham Neubig, Ahmed Hassan Awadallah
http://arxiv.org/abs/2104.07908v1
• [cs.CL]Modeling Fuzzy Cluster Transitions for Topic Tracing
Xiaonan Jing, Yi Zhang, Qingyuan Hu, Julia Taylor Rayz
http://arxiv.org/abs/2104.08258v1
• [cs.CL]Natural Language Inference with a Human Touch: Using Human Explanations to Guide Model Attention
Joe Stacey, Yonatan Belinkov, Marek Rei
http://arxiv.org/abs/2104.08142v1
• [cs.CL]Optimal Size-Performance Tradeoffs: Weighing PoS Tagger Models
Magnus Jacobsen, Mikkel H. Sørensen, Leon Derczynski
http://arxiv.org/abs/2104.07951v1
• [cs.CL]Probing Across Time: What Does RoBERTa Know and When?
Leo Z. Liu, Yizhong Wang, Jungo Kasai, Hannaneh Hajishirzi, Noah A. Smith
http://arxiv.org/abs/2104.07885v1
• [cs.CL]ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation
Weizhen Qi, Yeyun Gong, Yu Yan, Can Xu, Bolun Yao, Bartuer Zhou, Biao Cheng, Daxin Jiang, Jiusheng Chen, Ruofei Zhang, Houqiang Li, Nan Duan
http://arxiv.org/abs/2104.08006v1
• [cs.CL]Robust Open-Vocabulary Translation from Visual Text Representations
Elizabeth Salesky, David Etter, Matt Post
http://arxiv.org/abs/2104.08211v1
• [cs.CL]Search-oriented Differentiable Product Quantization
Shitao Xiao, Zheng Liu, Yingxia Shao, Defu Lian, Xing Xie
http://arxiv.org/abs/2104.07858v1
• [cs.CL]Segmenting Subtitles for Correcting ASR Segmentation Errors
David Wan, Chris Kedzie, Faisal Ladhak, Elsbeth Turcan, Petra Galuščáková, Elena Zotkina, Zhengping Jiang, Peter Bell, Kathleen McKeown
http://arxiv.org/abs/2104.07868v1
• [cs.CL]Serial or Parallel? Plug-able Adapter for multilingual machine translation
Yaoming Zhu, Jiangtao Feng, Chengqi Zhao, Mingxuan Wang, Lei Li
http://arxiv.org/abs/2104.08154v1
• [cs.CL]Sublanguage: A Serious Issue Affects Pretrained Models in Legal Domain
Ha-Thanh Nguyen, Le-Minh Nguyen
http://arxiv.org/abs/2104.07782v1
• [cs.CL]Temporal Adaptation of BERT and Performance on Downstream Document Classification: Insights from Social Media
Paul Röttger, Janet B. Pierrehumbert
http://arxiv.org/abs/2104.08116v1
• [cs.CL]To Share or not to Share: Predicting Sets of Sources for Model Transfer Learning
Lukas Lange, Jannik Strötgen, Heike Adel, Dietrich Klakow
http://arxiv.org/abs/2104.08078v1
• [cs.CL]Towards Robust Neural Retrieval Models with Synthetic Pre-Training
Revanth Gangi Reddy, Vikas Yadav, Md Arafat Sultan, Martin Franz, Vittorio Castelli, Heng Ji, Avirup Sil
http://arxiv.org/abs/2104.07800v1
• [cs.CL]Towards Variable-Length Textual Adversarial Attacks
Junliang Guo, Zhirui Zhang, Linlin Zhang, Linli Xu, Boxing Chen, Enhong Chen, Weihua Luo
http://arxiv.org/abs/2104.08139v1
• [cs.CL]Translational NLP: A New Paradigm and General Principles for Natural Language Processing Research
Denis Newman-Griffis, Jill Fain Lehman, Carolyn Rosé, Harry Hochheiser
http://arxiv.org/abs/2104.07874v1
• [cs.CL]Variable Instance-Level Explainability for Text Classification
George Chrysostomou, Nikolaos Aletras
http://arxiv.org/abs/2104.08219v1
• [cs.CL]What to Pre-Train on? Efficient Intermediate Task Selection
Clifton Poth, Jonas Pfeiffer, Andreas Rücklé, Iryna Gurevych
http://arxiv.org/abs/2104.08247v1
• [cs.CL]Word2rate: training and evaluating multiple word embeddings as statistical transitions
Gary Phua, Shaowei Lin, Dario Poletti
http://arxiv.org/abs/2104.08173v1
• [cs.CL]proScript: Partially Ordered Scripts Generation via Pre-trained Language Models
Keisuke Sakaguchi, Chandra Bhagavatula, Ronan Le Bras, Niket Tandon, Peter Clark, Yejin Choi
http://arxiv.org/abs/2104.08251v1
• [cs.CR]Holmes: An Efficient and Lightweight Semantic Based Anomalous Email Detector
Peilun Wu, Shiyi Yang, Hui Guo
http://arxiv.org/abs/2104.08044v1
• [cs.CR]Trust but Verify: Cryptographic Data Privacy for Mobility Management
Matthew Tsao, Kaidi Yang, Stephen Zoepf, Marco Pavone
http://arxiv.org/abs/2104.07768v1
• [cs.CV]A De-raining semantic segmentation network for real-time foreground segmentation
Fanyi Wang, Yihui Zhang
http://arxiv.org/abs/2104.07877v1
• [cs.CV]Advanced Deep Networks for 3D Mitochondria Instance Segmentation
Mingxing Li, Chang Chen, Xiaoyu Liu, Wei Huang, Yueyi Zhang, Zhiwei Xiong
http://arxiv.org/abs/2104.07961v1
• [cs.CV]Cross-Modal Retrieval Augmentation for Multi-Modal Classification
Shir Gur, Natalia Neverova, Chris Stauffer, Ser-Nam Lim, Douwe Kiela, Austin Reiter
http://arxiv.org/abs/2104.08108v1
• [cs.CV]Divide-and-Conquer for Lane-Aware Diverse Trajectory Prediction
Sriram Narayanan, Ramin Moslemi, Francesco Pittaluga, Buyu Liu, Manmohan Chandraker
http://arxiv.org/abs/2104.08277v1
• [cs.CV]Ego-Exo: Transferring Visual Representations from Third-person to First-person Videos
Yanghao Li, Tushar Nagarajan, Bo Xiong, Kristen Grauman
http://arxiv.org/abs/2104.07905v1
• [cs.CV]Exploiting Global and Local Attentions for Heavy Rain Removal on Single Images
Dac Tung Vu, Juan Luis Gonzalez, Munchurl Kim
http://arxiv.org/abs/2104.08126v1
• [cs.CV]Fusing the Old with the New: Learning Relative Camera Pose with Geometry-Guided Uncertainty
Bingbing Zhuang, Manmohan Chandraker
http://arxiv.org/abs/2104.08278v1
• [cs.CV]Grassmann Iterative Linear Discriminant Analysis with Proxy Matrix Optimization
Navya Nagananda, Breton Minnehan, Andreas Savakis
http://arxiv.org/abs/2104.08112v1
• [cs.CV]Histopathology WSI Encoding based on GCNs for Scalable and Efficient Retrieval of Diagnostically Relevant Regions
Yushan Zheng, Zhiguo Jiang, Haopeng Zhang, Fengying Xie, Jun Shi, Chenghai Xue
http://arxiv.org/abs/2104.07878v1
• [cs.CV]I Find Your Lack of Uncertainty in Computer Vision Disturbing
Matias Valdenegro-Toro
http://arxiv.org/abs/2104.08188v1
• [cs.CV]Identifying Water Stress in Chickpea Plant by Analyzing Progressive Changes in Shoot Images using Deep Learning
Shiva Azimi, Rohan Wadhawan, Tapan K. Gandhi
http://arxiv.org/abs/2104.07911v1
• [cs.CV]LAI Estimation of Cucumber Crop Based on Improved Fully Convolutional Network
Weiqi Shu, Ling Wang, Bolong Liu, Jie Liu
http://arxiv.org/abs/2104.07955v1
• [cs.CV]Learning Implicit 3D Representations of Dressed Humans from Sparse Views
Pierre Zins, Yuanlu Xu, Edmond Boyer, Stefanie Wuhrer, Tony Tung
http://arxiv.org/abs/2104.08013v1
• [cs.CV]Learning to Reconstruct 3D Non-Cuboid Room Layout from a Single RGB Image
Cheng Yang, Jia Zheng, Xili Dai, Rui Tang, Yi Ma, Xiaojun Yuan
http://arxiv.org/abs/2104.07986v1
• [cs.CV]Locally Aware Piecewise Transformation Fields for 3D Human Mesh Registration
Shaofei Wang, Andreas Geiger, Siyu Tang
http://arxiv.org/abs/2104.08160v1
• [cs.CV]MeshTalk: 3D Face Animation from Speech using Cross-Modality Disentanglement
Alexander Richard, Michael Zollhoefer, Yandong Wen, Fernando de la Torre, Yaser Sheikh
http://arxiv.org/abs/2104.08223v1
• [cs.CV]Noise-Aware Saliency Prediction for Videos with Incomplete Gaze Data
Ekta Prashnani, Orazio Gallo, Joohwan Kim, Josef Spjut, Pradeep Sen, Iuri Frosio
http://arxiv.org/abs/2104.08038v1
• [cs.CV]Occlusion-aware Visual Tracker using Spatial Structural Information and Dominant Features
Rongtai Caiand Peng Zhu
http://arxiv.org/abs/2104.07977v1
• [cs.CV]OmniFlow: Human Omnidirectional Optical Flow
Roman Seidel, André Apitzsch, Gangolf Hirtz
http://arxiv.org/abs/2104.07960v1
• [cs.CV]Open data for Moroccan license plates for OCR applications : data collection, labeling, and model construction
Abdelkrim Alahyane, Mohamed El Fakir, Saad Benjelloun, Ikram Chairi
http://arxiv.org/abs/2104.08244v1
• [cs.CV]Pareto Self-Supervised Training for Few-Shot Learning
Zhengyu Chen, Jixie Ge, Heshen Zhan, Siteng Huang, Donglin Wang
http://arxiv.org/abs/2104.07841v1
• [cs.CV]Point-Based Modeling of Human Clothing
Ilya Zakharkin, Kirill Mazur, Artur Grigoriev, Victor Lempitsky
http://arxiv.org/abs/2104.08230v1
• [cs.CV]Polynomial Networks in Deep Classifiers
Grigorios G Chrysos, Markos Georgopoulos, Jiankang Deng, Yannis Panagakis
http://arxiv.org/abs/2104.07916v1
• [cs.CV]SSPC-Net: Semi-supervised Semantic 3D Point Cloud Segmentation Network
Mingmei Cheng, Le Hui, Jin Xie, Jian Yang
http://arxiv.org/abs/2104.07861v1
• [cs.CV]ScreenSeg: On-Device Screenshot Layout Analysis
Manoj Goyal, Rachit S Munjal, Sukumar Moharana, Deepak Garg, Debi Prasanna Mohanty, Siva Prasad Thota
http://arxiv.org/abs/2104.08052v1
• [cs.CV]Self-supervised Video Retrieval Transformer Network
Xiangteng He, Yulin Pan, Mingqian Tang, Yiliang Lv
http://arxiv.org/abs/2104.07993v1
• [cs.CV]Semantic Image Matting
Yanan Sun, Chi-Keung Tang, Yu-Wing Tai
http://arxiv.org/abs/2104.08201v1
• [cs.CV]Shadow-Mapping for Unsupervised Neural Causal Discovery
Matthew J. Vowels, Necati Cihan Camgoz, Richard Bowden
http://arxiv.org/abs/2104.08183v1
• [cs.CV]Spatiotemporal Deformable Models for Long-Term Complex Activity Detection
Salman Khan, Fabio Cuzzolin
http://arxiv.org/abs/2104.08194v1
• [cs.CV]T-LEAP: occlusion-robust pose estimation of walking cows using temporal information
Helena Russello, Rik van der Tol, Gert Kootstra
http://arxiv.org/abs/2104.08029v1
• [cs.CV]TEACHTEXT: CrossModal Generalized Distillation for Text-Video Retrieval
Ioana Croitoru, Simion-Vlad Bogolin, Yang Liu, Samuel Albanie, Marius Leordeanu, Hailin Jin, Andrew Zisserman
http://arxiv.org/abs/2104.08271v1
• [cs.CV]TeLCoS: OnDevice Text Localization with Clustering of Script
Rachit S Munjal, Manoj Goyal, Rutika Moharir, Sukumar Moharana
http://arxiv.org/abs/2104.08045v1
• [cs.CV]Temporally smooth online action detection using cycle-consistent future anticipation
Young Hwi Kim, Seonghyeon Nam, Seon Joo Kim
http://arxiv.org/abs/2104.08030v1
• [cs.CV]Towards Human-Understandable Visual Explanations:Imperceptible High-frequency Cues Can Better Be Removed
Kaili Wang, Jose Oramas, Tinne Tuytelaars
http://arxiv.org/abs/2104.07954v1
• [cs.CV]VGNMN: Video-grounded Neural Module Network to Video-Grounded Language Tasks
Hung Le, Nancy F. Chen, Steven C. H. Hoi
http://arxiv.org/abs/2104.07921v1
• [cs.CV]Weakly Supervised Object Localization and Detection: A Survey
Dingwen Zhang, Junwei Han, Gong Cheng, Ming-Hsuan Yang
http://arxiv.org/abs/2104.07918v1
• [cs.CV]Write-a-speaker: Text-based Emotional and Rhythmic Talking-head Generation
Lilin Cheng, Suzhe Wang, Zhimeng Zhang, Yu Ding, Yixing Zheng, Xin Yu, Changjie Fan
http://arxiv.org/abs/2104.07995v1
• [cs.CY]An Analysis of Impact Pathways arising from a Mobile-based Community Media Platform in Rural India
Aparna Moitra, Archna Kumar, Aaditeshwar Seth
http://arxiv.org/abs/2104.07901v1
• [cs.CY]Comparative Study of Learning Outcomes for Online Learning Platforms
Francois St-Hilaire, Nathan Burns, Robert Belfer, Muhammad Shayan, Ariella Smofsky, Dung Do Vu, Antoine Frau, Joseph Potochny, Farid Faraji, Vincent Pavero, Neroli Ko, Ansona Onyi Ching, Sabina Elkins, Anush Stepanyan, Adela Matajova, Laurent Charlin, Yoshua Bengio, Iulian Vlad Serban, Ekaterina Kochmar
http://arxiv.org/abs/2104.07763v1
• [cs.CY]Thinking Through and Writing About Research Ethics Beyond “Broader Impact”
Kate Sim, Andrew Brown, Amelia Hassoun
http://arxiv.org/abs/2104.08205v1
• [cs.DC]Evaluation of Portable Acceleration Solutions for LArTPC Simulation Using Wire-Cell Toolkit
Haiwang Yu, Zhihua Dong, Kyle Knoepfel, Meifeng Lin, Brett Viren, Kwangmin Yu
http://arxiv.org/abs/2104.08265v1
• [cs.DC]Implementing CNN Layers on the Manticore Cluster-Based Many-Core Architecture
Andreas Kurth, Fabian Schuiki, Luca Benini
http://arxiv.org/abs/2104.08009v1
• [cs.DC]ZeRO-Infinity: Breaking the GPU Memory Wall for Extreme Scale Deep Learning
Samyam Rajbhandari, Olatunji Ruwase, Jeff Rasley, Shaden Smith, Yuxiong He
http://arxiv.org/abs/2104.07857v1
• [cs.DL]Citations are not opinions: a corpus linguistics approach to understanding how citations are made
Domenic Rosati
http://arxiv.org/abs/2104.08087v1
• [cs.DS]Shared-Memory n-level Hypergraph Partitioning
Lars Gottesbüren, Tobias Heuer, Peter Sanders, Sebastian Schlag
http://arxiv.org/abs/2104.08107v1
• [cs.GR]Signed Distance Function Computation from an Implicit Surface
Pierre-Alain Fayolle
http://arxiv.org/abs/2104.08057v1
• [cs.HC]Broccoli: Sprinkling Lightweight Vocabulary Learning into Everyday Information Diets
Roland Aydin, Lars Klein, Arnaud Miribel, Robert West
http://arxiv.org/abs/2104.07941v1
• [cs.IR]Faithfully Explainable Recommendation via Neural Logic Reasoning
Yaxin Zhu, Yikun Xian, Zuohui Fu, Gerard de Melo, Yongfeng Zhang
http://arxiv.org/abs/2104.07869v1
• [cs.IR]Hierarchical Topic Presence Models
Jason Wang, Robert E. Weiss
http://arxiv.org/abs/2104.07969v1
• [cs.IR]Optimizing Dense Retrieval Model Training with Hard Negatives
Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma
http://arxiv.org/abs/2104.08051v1
• [cs.IR]Variational Inference for Category Recommendation in E-Commerce platforms
Ramasubramanian Balasubramanian, Venugopal Mani, Abhinav Mathur, Sushant Kumar, Kannan Achan
http://arxiv.org/abs/2104.07748v1
• [cs.IT]A Further Study of Quadratic APN Permutations in Dimension Nine
Christof Beierle, Claude Carlet, Gregor Leander, Léo Perrin
http://arxiv.org/abs/2104.08008v1
• [cs.IT]A Simple Single RF-Chain Multi-Antenna Full-Duplex Relay Can Outperform An Intelligent Reflecting Surface
Armin Bazrafkan, Marija Poposka, Zoran Hadzi-Velkov, Nikola Zlatanov
http://arxiv.org/abs/2104.07980v1
• [cs.IT]Autoencoder-Based Unequal Error Protection Codes
Vukan Ninkovic, Dejan Vukobratovic, Christian Häger, Henk Wymeersch, Alexandre Graell i Amat
http://arxiv.org/abs/2104.08190v1
• [cs.IT]Cell-Free Massive MIMO with Large-Scale Fading Decoding and Dynamic Cooperation Clustering
Özlem Tuğfe Demir, Emil Björnson, Luca Sanguinetti
http://arxiv.org/abs/2104.08047v1
• [cs.IT]Coverage Probability and Energy Efficiency of Reconfigurable Intelligent Surface-Assisted mmWave Networks
Le Yang, Fu-Chun Zheng, Shi Jin
http://arxiv.org/abs/2104.07971v1
• [cs.IT]Low Row Rank Parity Check Codes
Ermes Franch, Chunlei Li
http://arxiv.org/abs/2104.08065v1
• [cs.IT]Mismatched Models to Lower Bound the Capacity of Dual-Polarization Optical Fiber Channels
Francisco Javier Garcia-Gomez, Gerhard Kramer
http://arxiv.org/abs/2104.07979v1
• [cs.LG]“BNN - BN = ?”: Training Binary Neural Networks without Batch Normalization
Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu, Zhiqiang Shen, Zhangyang Wang
http://arxiv.org/abs/2104.08215v1
• [cs.LG]A Study of Graph-Based Approaches for Semi-Supervised Time Series Classification
Dominik Alfke, Miriam Gondos, Lucile Peroche, Martin Stoll
http://arxiv.org/abs/2104.08153v1
• [cs.LG]Achieving differential privacy for -nearest neighbors based outlier detection by data partitioning
Jens Rauch, Iyiola E. Olatunji, Megha Khosla
http://arxiv.org/abs/2104.07938v1
• [cs.LG]Back to the Basics: A Quantitative Analysis of Statistical and Graph-Based Term Weighting Schemes for Keyword Extraction
Asahi Ushio, Federico Liberatore, Jose Camacho-Collados
http://arxiv.org/abs/2104.08028v1
• [cs.LG]CSAFL: A Clustered Semi-Asynchronous Federated Learning Framework
Yu Zhang, Moming Duan, Duo Liu, Li Li, Ao Ren, Xianzhang Chen, Yujuan Tan, Chengliang Wang
http://arxiv.org/abs/2104.08184v1
• [cs.LG]Capturing patterns of variation unique to a specific dataset
Robin Tu, Alexander H. Foss, Sihai D. Zhao
http://arxiv.org/abs/2104.08157v1
• [cs.LG]Controlled abstention neural networks for identifying skillful predictions for regression problems
Elizabeth A. Barnes, Randal J. Barnes
http://arxiv.org/abs/2104.08236v1
• [cs.LG]Deep Stable Learning for Out-Of-Distribution Generalization
Xingxuan Zhang, Peng Cui, Renzhe Xu, Linjun Zhou, Yue He, Zheyan Shen
http://arxiv.org/abs/2104.07876v1
• [cs.LG]Distributed TD(0) with Almost No Communication
Rui Liu, Alex Olshevsky
http://arxiv.org/abs/2104.07855v1
• [cs.LG]Efficient and Generic 1D Dilated Convolution Layer for Deep Learning
Narendra Chaudhary, Sanchit Misra, Dhiraj Kalamkar, Alexander Heinecke, Evangelos Georganas, Barukh Ziv, Menachem Adelman, Bharat Kaul
http://arxiv.org/abs/2104.08002v1
• [cs.LG]Faithful and Plausible Explanations of Medical Code Predictions
Zach Wood-Doughty, Isabel Cachola, Mark Dredze
http://arxiv.org/abs/2104.07894v1
• [cs.LG]FedCom: A Byzantine-Robust Local Model Aggregation Rule Using Data Commitment for Federated Learning
Bo Zhao, Peng Sun, Liming Fang, Tao Wang, Keyu Jiang
http://arxiv.org/abs/2104.08020v1
• [cs.LG]Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks
Jianxin Li, Hao Peng, Yuwei Cao, Yingtong Dou, Hekai Zhang, Philip S. Yu, Lifang He
http://arxiv.org/abs/2104.07892v1
• [cs.LG]Improving Hyper-Relational Knowledge Graph Completion
Donghan Yu, Yiming Yang
http://arxiv.org/abs/2104.08167v1
• [cs.LG]Interval-censored Hawkes processes
Marian-Andrei Rizoiu, Alexander Soen, Shidi Li, Leanne Dong, Aditya Krishna Menon, Lexing Xie
http://arxiv.org/abs/2104.07932v1
• [cs.LG]MEG: Generating Molecular Counterfactual Explanations for Deep Graph Networks
Danilo Numeroso, Davide Bacciu
http://arxiv.org/abs/2104.08060v1
• [cs.LG]Machine Learning Approaches for Type 2 Diabetes Prediction and Care Management
Aloysius Lim, Ashish Singh, Jody Chiam, Carly Eckert, Vikas Kumar, Muhammad Aurangzeb Ahmad, Ankur Teredesai
http://arxiv.org/abs/2104.07820v1
• [cs.LG]NePTuNe: Neural Powered Tucker Network for Knowledge Graph Completion
Shashank Sonkar, Arzoo Katiyar, Richard G. Baraniuk
http://arxiv.org/abs/org/abs/2104.07824v1
• [cs.LG]NePTuNe: Neural Powered Tucker Network for Knowledge Graph Completion
Shashank Sonkar, Arzoo Katiyar, Richard G. Baraniuk
http://arxiv.org/abs/2104.07824v1
• [cs.LG]NoisyCUR: An algorithm for two-cost budgeted matrix completion
Dong Hu, Alex Gittens, Malik Magdon-Ismail
http://arxiv.org/abs/2104.08026v1
• [cs.LG]Orthogonal Features Based EEG Signals Denoising Using Fractional and Compressed One-Dimensional CNN AutoEncoder
Subham Nagar, Ahlad Kumar
http://arxiv.org/abs/2104.08120v1
• [cs.LG]Overfitting in Bayesian Optimization: an empirical study and early-stopping solution
Anastasia Makarova, Huibin Shen, Valerio Perrone, Aaron Klein, Jean Baptiste Faddoul, Andreas Krause, Matthias Seeger, Cedric Archambeau
http://arxiv.org/abs/2104.08166v1
• [cs.LG]Personalized Semi-Supervised Federated Learning for Human Activity Recognition
Claudio Bettini, Gabriele Civitarese, Riccardo Presotto
http://arxiv.org/abs/2104.08094v1
• [cs.LG]Probing artificial neural networks: insights from neuroscience
Anna A. Ivanova, John Hewitt, Noga Zaslavsky
http://arxiv.org/abs/2104.08197v1
• [cs.LG]PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models
Benedek Rozemberczki, Paul Scherer, Yixuan He, George Panagopoulos, Maria Astefanoaei, Oliver Kiss, Ferenc Beres, Nicolas Collignon, Rik Sarkar
http://arxiv.org/abs/2104.07788v1
• [cs.LG]Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks
Hao Peng, Ruitong Zhang, Yingtong Dou, Renyu Yang, Jingyi Zhang, Philip S. Yu
http://arxiv.org/abs/2104.07886v1
• [cs.LG]SGL: Spectral Graph Learning from Measurements
Zhuo Feng
http://arxiv.org/abs/2104.07867v1
• [cs.LG]Safe Exploration in Model-based Reinforcement Learning using Control Barrier Functions
Max H. Cohen, Calin Belta
http://arxiv.org/abs/2104.08171v1
• [cs.LG]Skeletal Feature Compensation for Imitation Learning with Embodiment Mismatch
Eddy Hudson, Garrett Warnell, Faraz Torabi, Peter Stone
http://arxiv.org/abs/2104.07810v1
• [cs.LG]Split Learning Meets Koopman Theory for Wireless Remote Monitoring and Prediction
Abanoub M. Girgis, Hyowoon Seo, Jihong Park, Mehdi Bennis, Jinho Choi
http://arxiv.org/abs/2104.08109v1
• [cs.LG]Towards Standardizing Reinforcement Learning Approaches for Stochastic Production Scheduling
Alexandru Rinciog, Anne Meyer
http://arxiv.org/abs/2104.08196v1
• [cs.LG]Uncertainty Surrogates for Deep Learning
Radhakrishna Achanta, Natasa Tagasovska
http://arxiv.org/abs/2104.08147v1
• [cs.LG]Why Machine Learning Integrated Patient Flow Simulation?
Tesfamariam M. Abuhay, Adane Mamuye, Stewart Robinson, Sergey V. Kovalchuk
http://arxiv.org/abs/2104.08203v1
• [cs.NE]A New Pathway to Approximate Energy Expenditure and Recovery of an Athlete
Fabian Clemens Weigend, Jason Siegler, Oliver Obst
http://arxiv.org/abs/2104.07903v1
• [cs.NE]A Novel Surrogate-assisted Evolutionary Algorithm Applied to Partition-based Ensemble Learning
Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman
http://arxiv.org/abs/2104.08048v1
• [cs.NE]ALF — A Fitness-Based Artificial Life Form for Evolving Large-Scale Neural Networks
Rune Krauss, Marcel Merten, Mirco Bockholt, Rolf Drechsler
http://arxiv.org/abs/2104.08252v1
• [cs.NE]An exploration of asocial and social learning in the evolution of variable-length structures
Michael O’Neill, Anthony Brabazon
http://arxiv.org/abs/2104.08239v1
• [cs.NE]Evolving and Merging Hebbian Learning Rules: Increasing Generalization by Decreasing the Number of Rules
Joachim Winther Pedersen, Sebastian Risi
http://arxiv.org/abs/2104.07959v1
• [cs.NE]Explorative Data Analysis of Time Series based AlgorithmFeatures of CMA-ES Variants
Jacob de Nobel, Hao Wang, Thomas Bäck
http://arxiv.org/abs/2104.08098v1
• [cs.RO]Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills
Yevgen Chebotar, Karol Hausman, Yao Lu, Ted Xiao, Dmitry Kalashnikov, Jake Varley, Alex Irpan, Benjamin Eysenbach, Ryan Julian, Chelsea Finn, Sergey Levine
http://arxiv.org/abs/2104.07749v1
• [cs.RO]DREAM Lite: Simplifying Robot Assisted Therapy for ASD
Alexandre Mazel, Silviu Matu
http://arxiv.org/abs/2104.08034v1
• [cs.RO]FireFly Autonomous Drone Project
Hajer Ben Mnaouer, Mohammad Faieq, Adel Yousefi, Sarra Ben Mnaouer
http://arxiv.org/abs/2104.07758v1
• [cs.RO]Hierarchical Human-Motion Prediction and Logic-Geometric Programming for Minimal Interference Human-Robot Tasks
An T. Le, Philipp Kratzer, Simon Hagenmayer, Marc Toussaint, Jim Mainprice
http://arxiv.org/abs/2104.08137v1
• [cs.RO]MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale
Dmitry Kalashnikov, Jacob Varley, Yevgen Chebotar, Benjamin Swanson, Rico Jonschkowski, Chelsea Finn, Sergey Levine, Karol Hausman
http://arxiv.org/abs/2104.08212v1
• [cs.RO]Pylot: A Modular Platform for Exploring Latency-Accuracy Tradeoffs in Autonomous Vehicles
Ionel Gog, Sukrit Kalra, Peter Schafhalter, Matthew A. Wright, Joseph E. Gonzalez, Ion Stoica
http://arxiv.org/abs/2104.07830v1
• [cs.RO]Robot to support older people to live independently
Sara Cooper, Óscar Villacañas, Luca Marchionni, Francesco Ferro
http://arxiv.org/abs/2104.07799v1
• [cs.RO]Task Space Planning with Complementarity Constraint-based Obstacle Avoidance
Anirban Sinha, Anik Sarker, Nilanjan Chakraborty
http://arxiv.org/abs/2104.07849v1
• [cs.SE]BERT2Code: Can Pretrained Language Models be Leveraged for Code Search?
Abdullah Al Ishtiaq, Masum Hasan, Md. Mahim Anjum Haque, Kazi Sajeed Mehrab, Tanveer Muttaqueen, Tahmid Hasan, Anindya Iqbal, Rifat Shahriyar
http://arxiv.org/abs/2104.08017v1
• [cs.SI]Hop-Count Based Self-Supervised Anomaly Detection on Attributed Networks
Tianjin Huang, Yulong Pei, Vlado Menkovski, Mykola Pechenizkiy
http://arxiv.org/abs/2104.07917v1
• [cs.SI]Impact of gender on the formation and outcome of mentoring relationships in academic research
Leah P. Schwartz, Jean Liénard, Stephen V. David
http://arxiv.org/abs/2104.07780v1
• [econ.GN]Micro-Estimates of Wealth for all Low- and Middle-Income Countries
Guanghua Chi, Han Fang, Sourav Chatterjee, Joshua E. Blumenstock
http://arxiv.org/abs/2104.07761v1
• [eess.AS]TalkNet 2: Non-Autoregressive Depth-Wise Separable Convolutional Model Stanislav Beliaev, Boris Ginsburgfor Speech Synthesis with Explicit Pitch and Duration Prediction
Stanislav Beliaev, Boris Ginsburg
http://arxiv.org/abs/2104.08189v1
• [eess.IV]Attention! Stay Focus!
Tu Vo
http://arxiv.org/abs/2104.07925v1
• [eess.IV]Automatic quality control of brain T1-weighted magnetic resonance images for a clinical data warehouse
Simona Bottani, Ninon Burgos, Aurélien Maire, Adam Wild, Sebastian Ströer, Didier Dormont, Olivier Colliot
http://arxiv.org/abs/2104.08131v1
• [eess.SP]OpenCSI: An Open-Source Dataset for Indoor Localization Using CSI-Based Fingerprinting
Arthur Gassner, Claudiu Musat, Alexandru Rusu, Andreas Burg
http://arxiv.org/abs/2104.07963v1
• [eess.SY]Adaptive Robust Model Predictive Control with Matched and Unmatched Uncertainty
Rohan Sinha, James Harrison, Spencer M. Richards, Marco Pavone
http://arxiv.org/abs/2104.08261v1
• [eess.SY]An Overview of Digital Twins Application Domains in Smart Energy Grid
Tudor Cioara, Ionut Anghel, Marcel Antal, Ioan Salomie, Claudia Antal, Arcas Gabriel Ioan
http://arxiv.org/abs/2104.07904v1
• [eess.SY]On the Importance of Trust in Next-Generation Networked CPS Systems: An AI Perspective
Anousheh Gholami, Nariman Torkzaban, John S. Baras
http://arxiv.org/abs/2104.07853v1
• [math.CO]Sharp bounds for the number of regions of maxout networks and vertices of Minkowski sums
Guido Montúfar, Yue Ren, Leon Zhang
http://arxiv.org/abs/2104.08135v1
• [math.OC]Data-driven Optimization Model for Global Covid-19 Intervention Plans
Chang Liu, Akshay Budhkar
http://arxiv.org/abs/2104.07865v1
• [math.ST]A Bivariate Beta Distribution with Arbitrary Beta Marginals and its Generalization to a Correlated Dirichlet Distribution
Susanne Trick, Frank Jäkel, Constantin A. Rothkopf
http://arxiv.org/abs/2104.08069v1
• [math.ST]Adaptive efficient robust sequential analysis for autoregressive big data models
Ouerdia Arkoun, Jean-Yves Brua, Serguei Pergamenshchikov
http://arxiv.org/abs/2104.08018v1
• [math.ST]Estimation of the Global Mode of a Density: Minimaxity, Adaptation, and Computational Complexity
Ery Arias-Castro, Wanli Qiao, Lin Zheng
http://arxiv.org/abs/2104.07870v1
• [math.ST]New perspectives on knockoffs construction
Patrizia Berti, Emanuela Dreassi, Fabrizio Leisen, Luca Pratelli, Pietro Rigo
http://arxiv.org/abs/2104.07752v1
• [physics.comp-ph]Enabling Electronic Structure-Based Ab-Initio Molecular Dynamics Simulations with Hundreds of Millions of Atoms
Robert Schade, Tobias Kenter, Hossam Elgabarty, Michael Lass, Ole Schütt, Alfio Lazzaro, Hans Pabst, Stephan Mohr, Jürg Hutter, Thomas D. Kühne, Christian Plessl
http://arxiv.org/abs/2104.08245v1
• [physics.soc-ph]Memory Order Decomposition of Symbolic Sequences
Unai Alvarez-Rodriguez, Vito Latora
http://arxiv.org/abs/2104.07798v1
• [q-bio.QM]Predicting the Binding of SARS-CoV-2 Peptides to the Major Histocompatibility Complex with Recurrent Neural Networks
Johanna Vielhaben, Markus Wenzel, Eva Weicken, Nils Strodthoff
http://arxiv.org/abs/2104.08237v1
• [q-fin.MF]Removing non-smoothness in solving Black-Scholes equation using a perturbation method
Endah R. M. Putri, Lutfi Mardianto, Amirul Hakam, Chairul Imron, Hadi Susanto
http://arxiv.org/abs/2104.07839v1
• [quant-ph]Quantum Architecture Search via Deep Reinforcement Learning
En-Jui Kuo, Yao-Lung L. Fang, Samuel Yen-Chi Chen
http://arxiv.org/abs/2104.07715v1
• [stat.AP]Is there a cap on longevity? A statistical review
Léo R. Belzile, Anthony C. Davison, Jutta Gampe, Holger Rootzén, Dmitrii Zholud
http://arxiv.org/abs/2104.07843v1
• [stat.ME]A robust specification test in linear panel data models
Beste Hamiye Beyaztas, Soutir Bandyopadhyay, Abhijit Mandal
http://arxiv.org/abs/2104.07723v1
• [stat.ME]Analysis of multiple data sequences with different distributions: defining common principal component axes by ergodic sequence generation and multiple reweighting composition
Ikuo Fukuda, Kei Moritsugu
http://arxiv.org/abs/2104.08141v1
• [stat.ME]Estimating and Improving Dynamic Treatment Regimes With a Time-Varying Instrumental Variable
Shuxiao Chen, Bo Zhang
http://arxiv.org/abs/2104.07822v1
• [stat.ME]Fast ABC with joint generative modelling and subset simulation
Eliane Maalouf, David Ginsbourger, Niklas Linde
http://arxiv.org/abs/2104.08156v1
• [stat.ME]Heterogeneous Tensor Mixture Models in High Dimensions
Biao Cai, Jingfei Zhang, Will Wei Sun
http://arxiv.org/abs/2104.07773v1
• [stat.ME]Multiple Outlier Testing with Conformal p-values
Stephen Bates, Emmanuel Candès, Lihua Lei, Yaniv Romano, Matteo Sesia
http://arxiv.org/abs/2104.08279v1
• [stat.ME]The SIR-P Model: An Illustration of the Screening Paradox
Jacques Balayla
http://arxiv.org/abs/2104.07806v1
• [stat.ME]re:Linde et al. (2021) — The Bayes factor, HDI-ROPE and frequentist equivalence testing are actually all equivalent
Harlan Campbell, Paul Gustafson
http://arxiv.org/abs/2104.07834v1
• [stat.ML]Bayesian matrix completion with a spectral scaled Student prior: theoretical guarantee and efficient sampling
The Tien Mai
http://arxiv.org/abs/2104.08191v1
• [stat.ML]Data Generating Process to Evaluate Causal Discovery Techniques for Time Series Data
Andrew R. Lawrence, Marcus Kaiser, Rui Sampaio, Maksim Sipos
http://arxiv.org/abs/2104.08043v1
• [stat.ML]Finding Motifs in Knowledge Graphs using Compression
Peter Bloem
http://arxiv.org/abs/2104.08163v1
• [stat.ML]Integrating Domain Knowledge in Data-driven Earth Observation with Process Convolutions
Daniel Heestermans Svendsen, Maria Piles, Jordi Muñoz-Marí, David Luengo, Luca Martino, Gustau Camps-Valls
http://arxiv.org/abs/2104.08134v1
• [stat.ML]Probabilistic water demand forecasting using quantile regression algorithms
Georgia Papacharalampous, Andreas Langousis
http://arxiv.org/abs/2104.07985v1
• [stat.ML]Random Persistence Diagram Generation
Farzana Nasrin, Theodore Papamarkou, Vasileios Maroulas
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