cond-mat.mtrl-sci - 材料科学
cs.AI - 人工智能
cs.AR - 硬件体系结构
cs.CL - 计算与语言
cs.CR - 加密与安全
cs.CV - 机器视觉与模式识别
cs.CY - 计算与社会
cs.DB - 数据库
cs.DC - 分布式、并行与集群计算
cs.DS - 数据结构与算法
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.MM - 多媒体
cs.NE - 神经与进化计算
cs.NI - 网络和互联网体系结构
cs.RO - 机器人学
cs.SD - 声音处理
cs.SI - 社交网络与信息网络
eess.IV - 图像与视频处理
eess.SP - 信号处理
eess.SY - 系统和控制
math.PR - 概率
math.ST - 统计理论
physics.med-ph - 医学物理学
physics.soc-ph - 物理学与社会
q-bio.NC - 神经元与认知
q-bio.PE - 人口与发展
q-fin.PR - 证券定价
quant-ph - 量子物理
stat.AP - 应用统计
stat.ME - 统计方法论
stat.ML - (统计)机器学习
• [cond-mat.mtrl-sci]Crystal structure prediction of materials with high symmetry using differential evolution
• [cs.AI]Knowledge Graph Anchored Information-Extraction for Domain-Specific Insights
• [cs.AI]MBRL-Lib: A Modular Library for Model-based Reinforcement Learning
• [cs.AI]Network-wide traffic signal control optimization using a multi-agent deep reinforcement learning
• [cs.AI]Predicting Medical Interventions from Vital Parameters: Towards a Decision Support System for Remote Patient Monitoring
• [cs.AI]Role-Aware Modeling for N-ary Relational Knowledge Bases
• [cs.AI]Semantic Knowledge Discovery and Discussion Mining of Incel Online Community: Topic modeling
• [cs.AI]Text-Aware Predictive Monitoring of Business Processes
• [cs.AR]CoDR: Computation and Data Reuse Aware CNN Accelerator
• [cs.AR]CodeAPeel: An Integrated and Layered Learning Technology For Computer Architecture Courses
• [cs.CL]”Don’t quote me on that”: Finding Mixtures of Sources in News Articles
• [cs.CL]Addressing the Vulnerability of NMT in Input Perturbations
• [cs.CL]Beyond Fair Pay: Ethical Implications of NLP Crowdsourcing
• [cs.CL]Can Latent Alignments Improve Autoregressive Machine Translation?
• [cs.CL]ELECTRAMed: a new pre-trained language representation model for biomedical NLP
• [cs.CL]Efficient Retrieval Optimized Multi-task Learning
• [cs.CL]Efficient pre-training objectives for Transformers
• [cs.CL]Enhancing Cognitive Models of Emotions with Representation Learning
• [cs.CL]Extracting Temporal Event Relation with Syntactic-Guided Temporal Graph Transformer
• [cs.CL]Frustratingly Easy Edit-based Linguistic Steganography with a Masked Language Model
• [cs.CL]Grammatical Error Generation Based on Translated Fragments
• [cs.CL]HYPER^2: Hyperbolic Poincare Embedding for Hyper-Relational Link Prediction
• [cs.CL]Hidden Biases in Unreliable News Detection Datasets
• [cs.CL]Identifying Helpful Sentences in Product Reviews
• [cs.CL]Improving Cross-Modal Alignment in Vision Language Navigation via Syntactic Information
• [cs.CL]Measuring Shifts in Attitudes Towards COVID-19 Measures in Belgium Using Multilingual BERT
• [cs.CL]Mitigating Temporal-Drift: A Simple Approach to Keep NER Models Crisp
• [cs.CL]Modeling “Newsworthiness” for Lead-Generation Across Corpora
• [cs.CL]Neural Language Models with Distant Supervision to Identify Major Depressive Disorder from Clinical Notes
• [cs.CL]Operationalizing a National Digital Library: The Case for a Norwegian Transformer Model
• [cs.CL]Probing Causal Common Sense in Dialogue Response Generation
• [cs.CL]Problems and Countermeasures in Natural Language Processing Evaluation
• [cs.CL]Refining Targeted Syntactic Evaluation of Language Models
• [cs.CL]RoFormer: Enhanced Transformer with Rotary Position Embedding
• [cs.CL]Robustness Tests of NLP Machine Learning Models: Search and Semantically Replace
• [cs.CL]Seed Word Selection for Weakly-Supervised Text Classification with Unsupervised Error Estimation
• [cs.CL]Subsentence Extraction from Text Using Coverage-Based Deep Learning Language Models
• [cs.CL]Towards Solving Multimodal Comprehension
• [cs.CL]UIT-ISE-NLP at SemEval-2021 Task 5: Toxic Spans Detection with BiLSTM-CRF and Toxic Bert Comment Classification
• [cs.CL]WASSA@IITK at WASSA 2021: Multi-task Learning and Transformer Finetuning for Emotion Classification and Empathy Prediction
• [cs.CL]When FastText Pays Attention: Efficient Estimation of Word Representations using Constrained Positional Weighting
• [cs.CL]X-METRA-ADA: Cross-lingual Meta-Transfer Learning Adaptation to Natural Language Understanding and Question Answering
• [cs.CL]\textit{NewsEdits}: A Dataset of Revision Histories for News Articles (Technical Report: Data Processing)
• [cs.CL]skweak: Weak Supervision Made Easy for NLP
• [cs.CR]Adversarial Training for Deep Learning-based Intrusion Detection Systems
• [cs.CR]GDPR-Compliant Use of Blockchain for Secure Usage Logs
• [cs.CR]Prospective Artificial Intelligence Approaches for Active Cyber Defence
• [cs.CV]A Framework using Contrastive Learning for Classification with Noisy Labels
• [cs.CV]A novel three-stage training strategy for long-tailed classification
• [cs.CV]ASFM-Net: Asymmetrical Siamese Feature Matching Network for Point Completion
• [cs.CV]An Efficient Approach for Anomaly Detection in Traffic Videos
• [cs.CV]An Exact Hypergraph Matching Algorithm for Nuclear Identification in Embryonic Caenorhabditis elegans
• [cs.CV]Boosting Masked Face Recognition with Multi-Task ArcFace
• [cs.CV]CTNet: Context-based Tandem Network for Semantic Segmentation
• [cs.CV]Comparing Representations in Tracking for Event Camera-based SLAM
• [cs.CV]CrossATNet - A Novel Cross-Attention Based Framework for Sketch-Based Image Retrieval
• [cs.CV]Data-driven vehicle speed detection from synthetic driving simulator images
• [cs.CV]Detector-Free Weakly Supervised Grounding by Separation
• [cs.CV]Distill on the Go: Online knowledge distillation in self-supervised learning
• [cs.CV]Does enhanced shape bias improve neural network robustness to common corruptions?
• [cs.CV]Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology with the Fitzpatrick 17k Dataset
• [cs.CV]Fine-grained Anomaly Detection via Multi-task Self-Supervision
• [cs.CV]Flow-based Video Segmentation for Human Head and Shoulders
• [cs.CV]GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement
• [cs.CV]HMS: Hierarchical Modality Selectionfor Efficient Video Recognition
• [cs.CV]Hierarchical entropy and domain interaction to understand the structure in an image
• [cs.CV]Imaginative Walks: Generative Random Walk Deviation Loss for Improved Unseen Learning Representation
• [cs.CV]Improving state-of-the-art in Detecting Student Engagement with Resnet and TCN Hybrid Network
• [cs.CV]Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset
• [cs.CV]Learning Semantic-Aware Dynamics for Video Prediction
• [cs.CV]Lighting, Reflectance and Geometry Estimation from 360 Panoramic Stereo
• [cs.CV]M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection
• [cs.CV]MGSampler: An Explainable Sampling Strategy for Video Action Recognition
• [cs.CV]Measuring the Ripeness of Fruit with Hyperspectral Imaging and Deep Learning
• [cs.CV]Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images: Techniques and Clinical Applications
• [cs.CV]Perceptual Loss for Robust Unsupervised Homography Estimation
• [cs.CV]Posterior Sampling for Image Restoration using Explicit Patch Priors
• [cs.CV]Removing Diffraction Image Artifacts in Under-Display Camera via Dynamic Skip Connection Network
• [cs.CV]SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud
• [cs.CV]SelfReg: Self-supervised Contrastive Regularization for Domain Generalization
• [cs.CV]Semantic Segmentation by Improved Generative Adversarial Networks
• [cs.CV]Shadow Neural Radiance Fields for Multi-view Satellite Photogrammetry
• [cs.CV]Staircase Sign Method for Boosting Adversarial Attacks
• [cs.CV]T2VLAD: Global-Local Sequence Alignment for Text-Video Retrieval
• [cs.CV]Table Tennis Stroke Recognition Using Two-Dimensional Human Pose Estimation
• [cs.CV]Transformer Transforms Salient Object Detection and Camouflaged Object Detection
• [cs.CV]UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction
• [cs.CV]Understanding Synonymous Referring Expressions via Contrastive Features
• [cs.CV]VT-ADL: A Vision Transformer Network for Image Anomaly Detection and Localization
• [cs.CV]Variational Relational Point Completion Network
• [cs.CV]VideoGPT: Video Generation using VQ-VAE and Transformers
• [cs.CV]Visual Navigation with Spatial Attention
• [cs.CY]Heads in the Clouds: Measuring the Implications of Universities Migrating to Public Clouds
• [cs.DB]Large Scale Record Linkage in the Presence of Missing Data
• [cs.DC]Accelerating key bioinformatics tasks 100-fold by improving memory access
• [cs.DC]Assessing the Effectiveness of (Parallel) Branch-and-bound Algorithms
• [cs.DC]DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device
• [cs.DC]Leveraging Public-Private Blockchain Interoperability for Closed Consortium Interfacing
• [cs.DC]Parallel Physics-Informed Neural Networks via Domain Decomposition
• [cs.DC]Upper and Lower Bounds for Deterministic Approximate Objects
• [cs.DC]ds-array: A Distributed Data Structure for Large Scale Machine Learning
• [cs.DS]Locally Private k-Means in One Round
• [cs.IR]An Analysis of Indexing and Querying Strategies on a Technologically Assisted Review Task
• [cs.IR]B-PROP: Bootstrapped Pre-training with Representative Words Prediction for Ad-hoc Retrieval
• [cs.IR]Dual Metric Learning for Effective and Efficient Cross-Domain Recommendations
• [cs.IR]Personalized News Recommendation with Knowledge-aware Interactive Matching
• [cs.IR]SIGIR 2021 E-Commerce Workshop Data Challenge
• [cs.IR]Searching for Scientific Evidence in a Pandemic: An Overview of TREC-COVID
• [cs.IT]A Note on Slepian-Wolf Bounds for Several Node Grouping Configurations
• [cs.IT]Deep Learning based Efficient Symbol-Level Precoding Design for MU-MISO Systems
• [cs.IT]Exploiting Underlay Spectrum Sharing in Cell-Free Massive MIMO Systems
• [cs.IT]Multilevel Polar Coded Space-Shift Keying
• [cs.IT]Pseudo-Boolean Functions for Optimal Z-Complementary Code Sets with Flexible Lengths
• [cs.IT]Robust MMSE Precoding and Power Allocation for Cell-Free Networks
• [cs.IT]Transmit Correlation Diversity: Generalization, New Techniques, and Improved Bounds
• [cs.IT]Turning Channel Noise into an Accelerator for Over-the-Air Principal Component Analysis
• [cs.LG]A Bayesian Convolutional Neural Network for Robust Galaxy Ellipticity Regression
• [cs.LG]A New Class of Efficient Adaptive Filters for Online Nonlinear Modeling
• [cs.LG]Active and sparse methods in smoothed model checking
• [cs.LG]Calibration and Consistency of Adversarial Surrogate Losses
• [cs.LG]Class-Incremental Learning with Generative Classifiers
• [cs.LG]Deep Clustering with Measure Propagation
• [cs.LG]Deep learning with transfer functions: new applications in system identification
• [cs.LG]Development of a dynamic type 2 diabetes risk prediction tool: a UK Biobank study
• [cs.LG]Development of an accessible 10-year Digital CArdioVAscular (DiCAVA) risk assessment: a UK Biobank study
• [cs.LG]Development of digitally obtainable 10-year risk scores for depression and anxiety in the general population
• [cs.LG]Engineering Sketch Generation for Computer-Aided Design
• [cs.LG]Estimating Traffic Speeds using Probe Data: A Deep Neural Network Approach
• [cs.LG]GDDR: GNN-based Data-Driven Routing
• [cs.LG]GMLP: Building Scalable and Flexible Graph Neural Networks with Feature-Message Passing
• [cs.LG]Geometric Deep Learning on Anatomical Meshes for the Prediction of Alzheimer’s Disease
• [cs.LG]Gradient Matching for Domain Generalization
• [cs.LG]Hierarchically Modeling Micro and Macro Behaviors via Multi-Task Learning for Conversion Rate Prediction
• [cs.LG]IIoT-Enabled Health Monitoring for Integrated Heat Pump System Using Mixture Slow Feature Analysis
• [cs.LG]Joint Online Learning and Decision-making via Dual Mirror Descent
• [cs.LG]LaTeX-Numeric: Language-agnostic Text attribute eXtraction for E-commerce Numeric Attributes
• [cs.LG]Learning GMMs with Nearly Optimal Robustness Guarantees
• [cs.LG]Learning to Communicate with Strangers via Channel Randomisation Methods
• [cs.LG]Manipulating SGD with Data Ordering Attacks
• [cs.LG]Mapping the Internet: Modelling Entity Interactions in Complex Heterogeneous Networks
• [cs.LG]Neural Networks for Learning Counterfactual G-Invariances from Single Environments
• [cs.LG]Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning
• [cs.LG]Phase Transition Adaptation
• [cs.LG]Quaternion Generative Adversarial Networks
• [cs.LG]Robust Sensor Fusion Algorithms Against VoiceCommand Attacks in Autonomous Vehicles
• [cs.LG]Robust Uncertainty Bounds in Reproducing Kernel Hilbert Spaces: A Convex Optimization Approach
• [cs.LG]Semantic similarity metrics for learned image registration
• [cs.LG]Transfer learning suppresses simulation bias in predictive models built from sparse, multi-modal data
• [cs.LG]What is Wrong with One-Class Anomaly Detection?
• [cs.MM]Detection of Audio-Video Synchronization Errors Via Event Detection
• [cs.NE]BraidNet: procedural generation of neural networks for image classification problems using braid theory
• [cs.NE]Conditional Coding and Variable Bitrate for Practical Learned Video Coding
• [cs.NE]Hypervolume-Optimal -Distributions on Line/Plane-based Pareto Fronts in Three Dimensions
• [cs.NE]Multi-objective Evolutionary Algorithms are Generally Good: Maximizing Monotone Submodular Functions over Sequences
• [cs.NI]WiFiMod: Transformer-based Indoor Human Mobility Modeling using Passive Sensing
• [cs.RO]A simple vision-based navigation and control strategy for autonomous drone racing
• [cs.RO]Accelerating Surgical Robotics Research: Reviewing 10 Years of Research with the dVRK
• [cs.RO]Controlling Pivoting Gait using Graph Model Predictive Control
• [cs.RO]Efficient Online Transfer Learning for 3D Object Classification in Autonomous Driving
• [cs.RO]Federated Learning in Robotic and Autonomous Systems
• [cs.RO]GLiDE: Generalizable Quadrupedal Locomotion in Diverse Environments with a Centroidal Model
• [cs.RO]How Heavy Is It? Humanoid Robot Estimating Physical Properties of Unknown Objects Without Force/Torque Sensors
• [cs.RO]Identifying Driver Interactions via Conditional Behavior Prediction
• [cs.RO]Neural Tree Expansion for Multi-Robot Planning in Non-Cooperative Environments
• [cs.RO]Segmentation and Classification of EMG Time-Series During Reach-to-Grasp Motion
• [cs.RO]Spherical Multi-Modal Place Recognition for Heterogeneous Sensor Systems
• [cs.RO]Tactile Perception based on Injected Vibration in Soft Sensor
• [cs.RO]Towards Autonomous Robotic Precision Harvesting
• [cs.RO]Towards Guaranteed Safety Assurance of Automated Driving Systems with Scenario Sampling: An Invariant Set Perspective (Extended Version)
• [cs.SD]A cappella: Audio-visual Singing Voice Separation
• [cs.SD]AdaSpeech 2: Adaptive Text to Speech with Untranscribed Data
• [cs.SD]On the Impact of Word Error Rate on Acoustic-Linguistic Speech Emotion Recognition: An Update for the Deep Learning Era
• [cs.SD]Review of end-to-end speech synthesis technology based on deep learning
• [cs.SI]Mapping Moral Valence of Tweets Following the Killing of George Floyd
• [cs.SI]On the Prevention of Privacy Threats: How Can We Persuade Our Social Network Users?
• [cs.SI]Political Discussion is Abundant in Non-political Subreddits (and Less Toxic)
• [eess.IV]An Attention-based Weakly Supervised framework for Spitzoid Melanocytic Lesion Diagnosis in WSI
• [eess.IV]Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images
• [eess.IV]Free-form tumor synthesis in computed tomography images via richer generative adversarial network
• [eess.IV]Memory Efficient 3D U-Net with Reversible Mobile Inverted Bottlenecks for Brain Tumor Segmentation
• [eess.IV]Multiscale deep context modeling for lossless point cloud geometry compression
• [eess.SP]Characterizing the UAV-to-Machine UWB Radio Channel in Smart Factories
• [eess.SY]Distributed nonlinear model predictive control of an autonomous tractor-trailer system
• [eess.SY]Model-predictive control and reinforcement learning in multi-energy system case studies
• [math.PR]Stein’s method of normal approximation: Some recollections and reflections
• [math.ST]Convergence of Gaussian process regression: Optimality, robustness, and relationship with kernel ridge regression
• [physics.med-ph]Estimating the Risk of Infection Spread in Connected Local Regions by a Lattice of SEIR Circuits
• [physics.soc-ph]Strategies for COVID-19 vaccination under a shortage scenario: a geo-stochastic modelling approach
• [q-bio.NC]The principle of weight divergence facilitation for unsupervised pattern recognition in spiking neural networks
• [q-bio.PE]Exploring Evolved Multicellular Life Histories in a Open-Ended Digital Evolution System
• [q-fin.PR]Stock Market Trend Analysis Using Hidden Markov Model and Long Short Term Memory
• [quant-ph]Interpolating between symmetric and asymmetric hypothesis testing
• [quant-ph]Supervisory Control of Quantum Discrete Event Systems
• [stat.AP]Bisecting for selecting: using a Laplacian eigenmaps clustering approach to create the new European football Super League
• [stat.AP]Cross-population coupling of neural activity based on Gaussian process current source densities
• [stat.AP]GARCH-UGH: A bias-reduced approach for dynamic extreme Value-at-Risk estimation in financial time series
• [stat.AP]Partitioned equivalence test: reduction of the validation effort by using artificial intelligence to pre-classify the quality of automatic passenger counts
• [stat.AP]Selecting the Most Effective Nudge: Evidence from a Large-Scale Experiment on Immunization
• [stat.ME]Adaptive Nonparametric Psychophysics
• [stat.ME]Analyzing multidimensional movement interaction with generalized cross-wavelet transform
• [stat.ME]Covariate adjustment in continuous biomarker assessment
• [stat.ME]Critical Window Variable Selection for Mixtures: Estimating the Impact of Multiple Air Pollutants on Stillbirth
• [stat.ME]Data Envelopment Analysis models with imperfect knowledge of input and output values: An application to Portuguese public hospitals
• [stat.ME]Partial Correlation Graphical LASSO
• [stat.ME]Screening methods for linear errors-in-variables models in high dimensions
• [stat.ME]Simulation-Based Inference with Approximately Correct Parameters via Maximum Entropy
• [stat.ME]Sparse Sliced Inverse Regression via Cholesky Matrix Penalization
• [stat.ME]Using a rank-based design in estimating prevalence of breast cancer
• [stat.ML]Asymmetric compressive learning guarantees with applications to quantized sketches
• [stat.ML]Bayesian subset selection and variable importance for interpretable prediction and classification
• [stat.ML]Bridging between soft and hard thresholding by scaling
• [stat.ML]Differentiable Model Compression via Pseudo Quantization Noise
• [stat.ML]Forecasting The JSE Top 40 Using Long Short-Term Memory Networks
• [stat.ML]Knowledge Distillation as Semiparametric Inference
• [stat.ML]Space Partitioning and Regression Mode Seeking via a Mean-Shift-Inspired Algorithm
·····································
• [cond-mat.mtrl-sci]Crystal structure prediction of materials with high symmetry using differential evolution
Wenhui Yang, Edirisuriya M. Dilanga Siriwardane, Rongzhi Dong, Yuxin Li, Jianjun Hu
http://arxiv.org/abs/2104.09764v1
• [cs.AI]Knowledge Graph Anchored Information-Extraction for Domain-Specific Insights
Vivek Khetan, Annervaz K M, Erin Wetherley, Elena Eneva, Shubhashis Sengupta, Andrew E. Fano
http://arxiv.org/abs/2104.08936v2
• [cs.AI]MBRL-Lib: A Modular Library for Model-based Reinforcement Learning
Luis Pineda, Brandon Amos, Amy Zhang, Nathan O. Lambert, Roberto Calandra
http://arxiv.org/abs/2104.10159v1
• [cs.AI]Network-wide traffic signal control optimization using a multi-agent deep reinforcement learning
Zhenning Li, Hao Yu, Guohui Zhang, Shangjia Dong, Cheng-Zhong Xu
http://arxiv.org/abs/2104.09936v1
• [cs.AI]Predicting Medical Interventions from Vital Parameters: Towards a Decision Support System for Remote Patient Monitoring
Kordian Gontarska, Weronika Wrazen, Jossekin Beilharz, Robert Schmid, Lauritz Thamsen, Andreas Polze
http://arxiv.org/abs/2104.10085v1
• [cs.AI]Role-Aware Modeling for N-ary Relational Knowledge Bases
Yu Liu, Quanming Yao, Yong Li
http://arxiv.org/abs/2104.09780v1
• [cs.AI]Semantic Knowledge Discovery and Discussion Mining of Incel Online Community: Topic modeling
Hamed Jelodar, Richard Frank
http://arxiv.org/abs/2104.09586v1
• [cs.AI]Text-Aware Predictive Monitoring of Business Processes
Marco Pegoraro, Merih Seran Uysal, David Benedikt Georgi, Wil M. P. van der Aalst
http://arxiv.org/abs/2104.09962v1
• [cs.AR]CoDR: Computation and Data Reuse Aware CNN Accelerator
Alireza Khadem, Haojie Ye, Trevor Mudge
http://arxiv.org/abs/2104.09798v1
• [cs.AR]CodeAPeel: An Integrated and Layered Learning Technology For Computer Architecture Courses
A. Yavuz Oruc, A. Atmaca, Y. Nevzat Sengun, A. Semi Yeniyol
http://arxiv.org/abs/2104.09502v1
• [cs.CL]“Don’t quote me on that”: Finding Mixtures of Sources in News Articles
Alexander Spangher, Nanyun Peng, Jonathan May, Emilio Ferrara
http://arxiv.org/abs/2104.09656v1
• [cs.CL]Addressing the Vulnerability of NMT in Input Perturbations
Weiwen Xu, Ai Ti Aw, Yang Ding, Kui Wu, Shafiq Joty
http://arxiv.org/abs/2104.09810v1
• [cs.CL]Beyond Fair Pay: Ethical Implications of NLP Crowdsourcing
Boaz Shmueli, Jan Fell, Soumya Ray, Lun-Wei Ku
http://arxiv.org/abs/2104.10097v1
• [cs.CL]Can Latent Alignments Improve Autoregressive Machine Translation?
Adi Haviv, Lior Vassertail, Omer Levy
http://arxiv.org/abs/2104.09554v1
• [cs.CL]ELECTRAMed: a new pre-trained language representation model for biomedical NLP
Giacomo Miolo, Giulio Mantoan, Carlotta Orsenigo
http://arxiv.org/abs/2104.09585v1
• [cs.CL]Efficient Retrieval Optimized Multi-task Learning
Hengxin Fun, Sunil Gandhi, Sujith Ravi
http://arxiv.org/abs/2104.10129v1
• [cs.CL]Efficient pre-training objectives for Transformers
Luca Di Liello, Matteo Gabburo, Alessandro Moschitti
http://arxiv.org/abs/2104.09694v1
• [cs.CL]Enhancing Cognitive Models of Emotions with Representation Learning
Yuting Guo, Jinho Choi
http://arxiv.org/abs/2104.10117v1
• [cs.CL]Extracting Temporal Event Relation with Syntactic-Guided Temporal Graph Transformer
Shuaicheng Zhang, Lifu Huang, Qiang Ning
http://arxiv.org/abs/2104.09570v1
• [cs.CL]Frustratingly Easy Edit-based Linguistic Steganography with a Masked Language Model
Honai Ueoka, Yugo Murawaki, Sadao Kurohashi
http://arxiv.org/abs/2104.09833v1
• [cs.CL]Grammatical Error Generation Based on Translated Fragments
Eetu Sjöblom, Mathias Creutz, Teemu Vahtola
http://arxiv.org/abs/2104.09933v1
• [cs.CL]HYPER^2: Hyperbolic Poincare Embedding for Hyper-Relational Link Prediction
Shiyao Yan, Zequn Zhang, Xian Sun, Guangluan Xu, Li Jin, Shuchao Li
http://arxiv.org/abs/2104.09871v1
• [cs.CL]Hidden Biases in Unreliable News Detection Datasets
Xiang Zhou, Heba Elfardy, Christos Christodoulopoulos, Thomas Butler, Mohit Bansal
http://arxiv.org/abs/2104.10130v1
• [cs.CL]Identifying Helpful Sentences in Product Reviews
Iftah Gamzu, Hila Gonen, Gilad Kutiel, Ran Levy, Eugene Agichtein
http://arxiv.org/abs/2104.09792v1
• [cs.CL]Improving Cross-Modal Alignment in Vision Language Navigation via Syntactic Information
Jialu Li, Hao Tan, Mohit Bansal
http://arxiv.org/abs/2104.09580v1
• [cs.CL]Measuring Shifts in Attitudes Towards COVID-19 Measures in Belgium Using Multilingual BERT
Kristen Scott, Pieter Delobelle, Bettina Berendt
http://arxiv.org/abs/2104.09947v1
• [cs.CL]Mitigating Temporal-Drift: A Simple Approach to Keep NER Models Crisp
Shuguang Chen, Leonardo Neves, Thamar Solorio
http://arxiv.org/abs/2104.09742v1
• [cs.CL]Modeling “Newsworthiness” for Lead-Generation Across Corpora
Alexander Spangher, Nanyun Peng, Jonathan May, Emilio Ferrara
http://arxiv.org/abs/2104.09653v1
• [cs.CL]Neural Language Models with Distant Supervision to Identify Major Depressive Disorder from Clinical Notes
Bhavani Singh Agnikula Kshatriya, Nicolas A Nunez, Manuel Gardea- Resendez, Euijung Ryu, Brandon J Coombes, Sunyang Fu, Mark A Frye, Joanna M Biernacka, Yanshan Wang
http://arxiv.org/abs/2104.09644v1
• [cs.CL]Operationalizing a National Digital Library: The Case for a Norwegian Transformer Model
Per E Kummervold, Javier de la Rosa, Freddy Wetjen, Svein Arne Brygfjeld
http://arxiv.org/abs/2104.09617v1
• [cs.CL]Probing Causal Common Sense in Dialogue Response Generation
Pei Zhou, Pegah Jandaghi, Bill Yuchen Lin, Justin Cho, Jay Pujara, Xiang Ren
http://arxiv.org/abs/2104.09574v1
• [cs.CL]Problems and Countermeasures in Natural Language Processing Evaluation
Qingxiu Dong, Zhifang Sui, Weidong Zhan, Baobao Chang
http://arxiv.org/abs/2104.09712v1
• [cs.CL]Refining Targeted Syntactic Evaluation of Language Models
Benjamin Newman, Kai-Siang Ang, Julia Gong, John Hewitt
http://arxiv.org/abs/2104.09635v1
• [cs.CL]RoFormer: Enhanced Transformer with Rotary Position Embedding
Jianlin Su, Yu Lu, Shengfeng Pan, Bo Wen, Yunfeng Liu
http://arxiv.org/abs/2104.09864v1
• [cs.CL]Robustness Tests of NLP Machine Learning Models: Search and Semantically Replace
Rahul Singh, Karan Jindal, Yufei Yu, Hanyu Yang, Tarun Joshi, Matthew A. Campbell, Wayne B. Shoumaker
http://arxiv.org/abs/2104.09978v1
• [cs.CL]Seed Word Selection for Weakly-Supervised Text Classification with Unsupervised Error Estimation
Yiping Jin, Akshay Bhatia, Dittaya Wanvarie
http://arxiv.org/abs/2104.09765v1
• [cs.CL]Subsentence Extraction from Text Using Coverage-Based Deep Learning Language Models
JongYoon Lim, Inkyu Sa, Ho Seok Ahn, Norina Gasteiger, Sanghyub John Lee, Bruce MacDonald
http://arxiv.org/abs/2104.09777v1
• [cs.CL]Towards Solving Multimodal Comprehension
Pritish Sahu, Karan Sikka, Ajay Divakaran
http://arxiv.org/abs/2104.10139v1
• [cs.CL]UIT-ISE-NLP at SemEval-2021 Task 5: Toxic Spans Detection with BiLSTM-CRF and Toxic Bert Comment Classification
Son T. Luu, Ngan Luu-Thuy Nguyen
http://arxiv.org/abs/2104.10100v1
• [cs.CL]WASSA@IITK at WASSA 2021: Multi-task Learning and Transformer Finetuning for Emotion Classification and Empathy Prediction
Jay Mundra, Rohan Gupta, Sagnik Mukherjee
http://arxiv.org/abs/2104.09827v1
• [cs.CL]When FastText Pays Attention: Efficient Estimation of Word Representations using Constrained Positional Weighting
Vít Novotný, Michal Štefánik, Eniafe Festus Ayetiran, Petr Sojka
http://arxiv.org/abs/2104.09691v1
• [cs.CL]X-METRA-ADA: Cross-lingual Meta-Transfer Learning Adaptation to Natural Language Understanding and Question Answering
Meryem M’hamdi, Doo Soon Kim, Franck Dernoncourt, Trung Bui, Xiang Ren, Jonathan May
http://arxiv.org/abs/2104.09696v1
• [cs.CL]\textit{NewsEdits}: A Dataset of Revision Histories for News Articles (Technical Report: Data Processing)
Alexander Spangher, Jonathan May
http://arxiv.org/abs/2104.09647v1
• [cs.CL]skweak: Weak Supervision Made Easy for NLP
Pierre Lison, Jeremy Barnes, Aliaksandr Hubin
http://arxiv.org/abs/2104.09683v1
• [cs.CR]Adversarial Training for Deep Learning-based Intrusion Detection Systems
Islam Debicha, Thibault Debatty, Jean-Michel Dricot, Wim Mees
http://arxiv.org/abs/2104.09852v1
• [cs.CR]GDPR-Compliant Use of Blockchain for Secure Usage Logs
Valentin Zieglmeier, Gabriel Loyola Daiqui
http://arxiv.org/abs/2104.09971v1
• [cs.CR]Prospective Artificial Intelligence Approaches for Active Cyber Defence
Neil Dhir, Henrique Hoeltgebaum, Niall Adams, Mark Briers, Anthony Burke, Paul Jones
http://arxiv.org/abs/2104.09981v1
• [cs.CV]A Framework using Contrastive Learning for Classification with Noisy Labels
Madalina Ciortan, Romain Dupuis, Thomas Peel
http://arxiv.org/abs/2104.09563v1
• [cs.CV]A novel three-stage training strategy for long-tailed classification
Gongzhe Li, Zhiwen Tan, Linpeng Pan
http://arxiv.org/abs/2104.09830v1
• [cs.CV]ASFM-Net: Asymmetrical Siamese Feature Matching Network for Point Completion
Yaqi Xia, Yan Xia, Wei Li, Rui Song, Kailang Cao, Uwe Stilla
http://arxiv.org/abs/2104.09587v1
• [cs.CV]An Efficient Approach for Anomaly Detection in Traffic Videos
Keval Doshi, Yasin Yilmaz
http://arxiv.org/abs/2104.09758v1
• [cs.CV]An Exact Hypergraph Matching Algorithm for Nuclear Identification in Embryonic Caenorhabditis elegans
Andrew Lauziere, Ryan Christensen, Hari Shroff, Radu Balan
http://arxiv.org/abs/2104.10003v1
• [cs.CV]Boosting Masked Face Recognition with Multi-Task ArcFace
David Montero, Marcos Nieto, Peter Leskovsky, Naiara Aginako
http://arxiv.org/abs/2104.09874v1
• [cs.CV]CTNet: Context-based Tandem Network for Semantic Segmentation
Zechao Li, Yanpeng Sun, Jinhui Tang
http://arxiv.org/abs/2104.09805v1
• [cs.CV]Comparing Representations in Tracking for Event Camera-based SLAM
Jianhao Jiao, Huaiyang Huang, Liang Li, Zhijian He, Yilong Zhu, Ming Liu
http://arxiv.org/abs/2104.09887v1
• [cs.CV]CrossATNet - A Novel Cross-Attention Based Framework for Sketch-Based Image Retrieval
Ushasi Chaudhuri, Biplab Banerjee, Avik Bhattacharya, Mihai Datcu
http://arxiv.org/abs/2104.09918v1
• [cs.CV]Data-driven vehicle speed detection from synthetic driving simulator images
Antonio Hernández Martínez, Javier Lorenzo Díaz, Iván García Daza, David Fernández Llorca
http://arxiv.org/abs/2104.09903v1
• [cs.CV]Detector-Free Weakly Supervised Grounding by Separation
Assaf Arbelle, Sivan Doveh, Amit Alfassy, Joseph Shtok, Guy Lev, Eli Schwartz, Hilde Kuehne, Hila Barak Levi, Prasanna Sattigeri, Rameswar Panda, Chun-Fu Chen, Alex Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogerio Feris, Leonid Karlinsky
http://arxiv.org/abs/2104.09829v1
• [cs.CV]Distill on the Go: Online knowledge distillation in self-supervised learning
Prashant Bhat, Elahe Arani, Bahram Zonooz
http://arxiv.org/abs/2104.09866v1
• [cs.CV]Does enhanced shape bias improve neural network robustness to common corruptions?
Chaithanya Kumar Mummadi, Ranjitha Subramaniam, Robin Hutmacher, Julien Vitay, Volker Fischer, Jan Hendrik Metzen
http://arxiv.org/abs/2104.09789v1
• [cs.CV]Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology with the Fitzpatrick 17k Dataset
Matthew Groh, Caleb Harris, Luis Soenksen, Felix Lau, Rachel Han, Aerin Kim, Arash Koochek, Omar Badri
http://arxiv.org/abs/2104.09957v1
• [cs.CV]Fine-grained Anomaly Detection via Multi-task Self-Supervision
Loic Jezequel, Ngoc-Son Vu, Jean Beaudet, Aymeric Histace
http://arxiv.org/abs/2104.09993v1
• [cs.CV]Flow-based Video Segmentation for Human Head and Shoulders
Zijian Kuang, Xinran Tie
http://arxiv.org/abs/2104.09752v1
• [cs.CV]GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement
Martin Engelcke, Oiwi Parker Jones, Ingmar Posner
http://arxiv.org/abs/2104.09958v1
• [cs.CV]HMS: Hierarchical Modality Selectionfor Efficient Video Recognition
Zejia Weng, Zuxuan Wu, Hengduo Li, Yu-Gang Jiang
http://arxiv.org/abs/2104.09760v1
• [cs.CV]Hierarchical entropy and domain interaction to understand the structure in an image
Nao Uehara, Teruaki Hayashi, Yukio Ohsawa
http://arxiv.org/abs/2104.09754v1
• [cs.CV]Imaginative Walks: Generative Random Walk Deviation Loss for Improved Unseen Learning Representation
Mohamed Elhoseiny, Divyansh Jha, Kai Yi, Ivan Skorokhodov
http://arxiv.org/abs/2104.09757v1
• [cs.CV]Improving state-of-the-art in Detecting Student Engagement with Resnet and TCN Hybrid Network
Ali Abedi, Shehroz S. Khan
http://arxiv.org/abs/2104.10122v1
• [cs.CV]Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset
Scott Ettinger, Shuyang Cheng, Benjamin Caine, Chenxi Liu, Hang Zhao, Sabeek Pradhan, Yuning Chai, Ben Sapp, Charles Qi, Yin Zhou, Zoey Yang, Aurelien Chouard, Pei Sun, Jiquan Ngiam, Vijay Vasudevan, Alexander McCauley, Jonathon Shlens, Dragomir Anguelov
http://arxiv.org/abs/2104.10133v1
• [cs.CV]Learning Semantic-Aware Dynamics for Video Prediction
Xinzhu Bei, Yanchao Yang, Stefano Soatto
http://arxiv.org/abs/2104.09762v1
• [cs.CV]Lighting, Reflectance and Geometry Estimation from 360 Panoramic Stereo
Junxuan Li, Hongdong Li, Yasuyuki Matsushita
http://arxiv.org/abs/2104.09886v1
• [cs.CV]M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection
Junke Wang, Zuxuan Wu, Jingjing Chen, Yu-Gang Jiang
http://arxiv.org/abs/2104.09770v1
• [cs.CV]MGSampler: An Explainable Sampling Strategy for Video Action Recognition
Yuan Zhi, Zhan Tong, Limin Wang, Gangshan Wu
http://arxiv.org/abs/2104.09952v1
• [cs.CV]Measuring the Ripeness of Fruit with Hyperspectral Imaging and Deep Learning
Leon Amadeus Varga, Jan Makowski, Andreas Zell
http://arxiv.org/abs/2104.09808v1
• [cs.CV]Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images: Techniques and Clinical Applications
Yang Ma, Chaoyi Zhang, Mariano Cabezas, Yang Song, Zihao Tang, Dongnan Liu, Weidong Cai, Michael Barnett, Chenyu Wang
http://arxiv.org/abs/2104.10029v1
• [cs.CV]Perceptual Loss for Robust Unsupervised Homography Estimation
Daniel Koguciuk, Elahe Arani, Bahram Zonooz
http://arxiv.org/abs/2104.10011v1
• [cs.CV]Posterior Sampling for Image Restoration using Explicit Patch Priors
Roy Friedman, Yair Weiss
http://arxiv.org/abs/2104.09895v1
• [cs.CV]Removing Diffraction Image Artifacts in Under-Display Camera via Dynamic Skip Connection Network
Ruicheng Feng, Chongyi Li, Huaijin Chen, Shuai Li, Chen Change Loy, Jinwei Gu
http://arxiv.org/abs/2104.09556v1
• [cs.CV]SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud
Wu Zheng, Weiliang Tang, Li Jiang, Chi-Wing Fu
http://arxiv.org/abs/2104.09804v1
• [cs.CV]SelfReg: Self-supervised Contrastive Regularization for Domain Generalization
Daehee Kim, Seunghyun Park, Jinkyu Kim, Jaekoo Lee
http://arxiv.org/abs/2104.09841v1
• [cs.CV]Semantic Segmentation by Improved Generative Adversarial Networks
ZengShun Zhaoa, Yulong Wang, Ke Liu, Haoran Yang, Qian Sun, Heng Qiao
http://arxiv.org/abs/2104.09917v1
• [cs.CV]Shadow Neural Radiance Fields for Multi-view Satellite Photogrammetry
Dawa Derksen, Dario Izzo
http://arxiv.org/abs/2104.09877v1
• [cs.CV]Staircase Sign Method for Boosting Adversarial Attacks
Lianli Gao, Qilong Zhang, Xiaosu Zhu, Jingkuan Song, Heng Tao Shen
http://arxiv.org/abs/2104.09722v1
• [cs.CV]T2VLAD: Global-Local Sequence Alignment for Text-Video Retrieval
Xiaohan Wang, Linchao Zhu, Yi Yang
http://arxiv.org/abs/2104.10054v1
• [cs.CV]Table Tennis Stroke Recognition Using Two-Dimensional Human Pose Estimation
Kaustubh Milind Kulkarni, Sucheth Shenoy
http://arxiv.org/abs/2104.09907v1
• [cs.CV]Transformer Transforms Salient Object Detection and Camouflaged Object Detection
Yuxin Mao, Jing Zhang, Zhexiong Wan, Yuchao Dai, Aixuan Li, Yunqiu Lv, Xinyu Tian, Deng-Ping Fan, Nick Barnes
http://arxiv.org/abs/2104.10127v1
• [cs.CV]UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction
Michael Oechsle, Songyou Peng, Andreas Geiger
http://arxiv.org/abs/2104.10078v1
• [cs.CV]Understanding Synonymous Referring Expressions via Contrastive Features
Yi-Wen Chen, Yi-Hsuan Tsai, Ming-Hsuan Yang
http://arxiv.org/abs/2104.10156v1
• [cs.CV]VT-ADL: A Vision Transformer Network for Image Anomaly Detection and Localization
Pankaj Mishra, Riccardo Verk, Daniele Fornasier, Claudio Piciarelli, Gian Luca Foresti
http://arxiv.org/abs/2104.10036v1
• [cs.CV]Variational Relational Point Completion Network
Liang Pan, Xinyi Chen, Zhongang Cai, Junzhe Zhang, Haiyu Zhao, Shuai Yi, Ziwei Liu
http://arxiv.org/abs/2104.10154v1
• [cs.CV]VideoGPT: Video Generation using VQ-VAE and Transformers
Wilson Yan, Yunzhi Zhang, Pieter Abbeel, Aravind Srinivas
http://arxiv.org/abs/2104.10157v1
• [cs.CV]Visual Navigation with Spatial Attention
Bar Mayo, Tamir Hazan, Ayellet Tal
http://arxiv.org/abs/2104.09807v1
• [cs.CY]Heads in the Clouds: Measuring the Implications of Universities Migrating to Public Clouds
Tobias Fiebig, Seda Gürses, Carlos H. Gañán, Erna Kotkamp, Fernando Kuipers, Martina Lindorfer, Menghua Prisse, Taritha Sari
http://arxiv.org/abs/2104.09462v2
• [cs.DB]Large Scale Record Linkage in the Presence of Missing Data
Thilina Ranbaduge, Peter Christen, Rainer Schnell
http://arxiv.org/abs/2104.09677v1
• [cs.DC]Accelerating key bioinformatics tasks 100-fold by improving memory access
Igor Sfiligoi, Daniel McDonald, Rob Knight
http://arxiv.org/abs/2104.09565v1
• [cs.DC]Assessing the Effectiveness of (Parallel) Branch-and-bound Algorithms
Stephen J. Maher, Ted K. Ralphs, Yuji Shinano
http://arxiv.org/abs/2104.10025v1
• [cs.DC]DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device
Mario Almeida, Stefanos Laskaridis, Stylianos I. Venieris, Ilias Leontiadis, Nicholas D. Lane
http://arxiv.org/abs/2104.09949v1
• [cs.DC]Leveraging Public-Private Blockchain Interoperability for Closed Consortium Interfacing
Bishakh Chandra Ghosh, Tanay Bhartia, Sourav Kanti Addya, Sandip Chakraborty
http://arxiv.org/abs/2104.09801v1
• [cs.DC]Parallel Physics-Informed Neural Networks via Domain Decomposition
Khemraj Shukla, Ameya D. Jagtap, George Em Karniadakis
http://arxiv.org/abs/2104.10013v1
• [cs.DC]Upper and Lower Bounds for Deterministic Approximate Objects
Danny Hendler, Adnane Khattabi, Alessia Milani, Corentin Travers
http://arxiv.org/abs/2104.09902v1
• [cs.DC]ds-array: A Distributed Data Structure for Large Scale Machine Learning
Javier Álvarez Cid-Fuentes, Pol Álvarez, Salvi Solà, Kuninori Ishii, Rafael K. Morizawa, Rosa M. Badia
http://arxiv.org/abs/2104.10106v1
• [cs.DS]Locally Private k-Means in One Round
Alisa Chang, Badih Ghazi, Ravi Kumar, Pasin Manurangsi
http://arxiv.org/abs/2104.09734v1
• [cs.IR]An Analysis of Indexing and Querying Strategies on a Technologically Assisted Review Task
Alexandros Ioannidis
http://arxiv.org/abs/2104.09774v1
• [cs.IR]B-PROP: Bootstrapped Pre-training with Representative Words Prediction for Ad-hoc Retrieval
Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Yingyan Li, Xueqi Cheng
http://arxiv.org/abs/2104.09791v1
• [cs.IR]Dual Metric Learning for Effective and Efficient Cross-Domain Recommendations
Pan Li, Alexander Tuzhilin
http://arxiv.org/abs/2104.08490v2
• [cs.IR]Personalized News Recommendation with Knowledge-aware Interactive Matching
Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang
http://arxiv.org/abs/2104.10083v1
• [cs.IR]SIGIR 2021 E-Commerce Workshop Data Challenge
Jacopo Tagliabue, Ciro Greco, Jean-Francis Roy, Binqing Yu, Patrick John Chia, Federico Bianchi, Giovanni Cassani
http://arxiv.org/abs/2104.09423v2
• [cs.IR]Searching for Scientific Evidence in a Pandemic: An Overview of TREC-COVID
Kirk Roberts, Tasmeer Alam, Steven Bedrick, Dina Demner-Fushman, Kyle Lo, Ian Soboroff, Ellen Voorhees, Lucy Lu Wang, William R Hersh
http://arxiv.org/abs/2104.09632v1
• [cs.IT]A Note on Slepian-Wolf Bounds for Several Node Grouping Configurations
Benjamin Rosen, Adnan M. Abu-Mahfouz, Ling Cheng
http://arxiv.org/abs/2104.09925v1
• [cs.IT]Deep Learning based Efficient Symbol-Level Precoding Design for MU-MISO Systems
Zhu Bo, Rang Liu, Ming Li, Qian Liu
http://arxiv.org/abs/2104.09799v1
• [cs.IT]Exploiting Underlay Spectrum Sharing in Cell-Free Massive MIMO Systems
Diluka Loku Galappaththige, Gayan Amarasuriya Aruma Baduge
http://arxiv.org/abs/2104.09671v1
• [cs.IT]Multilevel Polar Coded Space-Shift Keying
Muhammad Zaeem Hasan, Nemanja Stefan Perović, Mark F. Flanagan
http://arxiv.org/abs/2104.09875v1
• [cs.IT]Pseudo-Boolean Functions for Optimal Z-Complementary Code Sets with Flexible Lengths
Palash Sarkar, Sudhan Majhi, Zilong Liu
http://arxiv.org/abs/2104.10062v1
• [cs.IT]Robust MMSE Precoding and Power Allocation for Cell-Free Networks
V. M. T. Palhares, A. Flores, R. C. de Lamare
http://arxiv.org/abs/2104.09720v1
• [cs.IT]Transmit Correlation Diversity: Generalization, New Techniques, and Improved Bounds
Fan Zhang, Khac-Hoang Ngo, Sheng Yang, Aria Nosratinia
http://arxiv.org/abs/2104.09711v1
• [cs.IT]Turning Channel Noise into an Accelerator for Over-the-Air Principal Component Analysis
Zezhong Zhang, Guangxu Zhu, Rui Wang, Vincent K. N. Lau, Kaibin Huang
http://arxiv.org/abs/2104.10095v1
• [cs.LG]A Bayesian Convolutional Neural Network for Robust Galaxy Ellipticity Regression
Claire Theobald, Bastien Arcelin, Frédéric Pennerath, Brieuc Conan-Guez, Miguel Couceiro, Amedeo Napoli
http://arxiv.org/abs/2104.09970v1
• [cs.LG]A New Class of Efficient Adaptive Filters for Online Nonlinear Modeling
Danilo Comminiello, Alireza Nezamdoust, Simone Scardapane, Michele Scarpiniti, Amir Hussain, Aurelio Uncini
http://arxiv.org/abs/2104.09641v1
• [cs.LG]Active and sparse methods in smoothed model checking
Paul Piho, Jane Hillston
http://arxiv.org/abs/2104.09940v1
• [cs.LG]Calibration and Consistency of Adversarial Surrogate Losses
Pranjal Awasthi, Natalie Frank, Anqi Mao, Mehryar Mohri, Yutao Zhong
http://arxiv.org/abs/2104.09658v1
• [cs.LG]Class-Incremental Learning with Generative Classifiers
Gido M. van de Ven, Zhe Li, Andreas S. Tolias
http://arxiv.org/abs/2104.10093v1
• [cs.LG]Deep Clustering with Measure Propagation
Minhua Chen, Badrinath Jayakumar, Padmasundari Gopalakrishnan, Qiming Huang, Michael Johnston, Patrick Haffner
http://arxiv.org/abs/2104.08967v2
• [cs.LG]Deep learning with transfer functions: new applications in system identification
Dario Piga, Marco Forgione, Manas Mejari
http://arxiv.org/abs/2104.09839v1
• [cs.LG]Development of a dynamic type 2 diabetes risk prediction tool: a UK Biobank study
Nikola Dolezalova, Massimo Cairo, Alex Despotovic, Adam T. C. Booth, Angus B. Reed, Davide Morelli, David Plans
http://arxiv.org/abs/2104.10108v1
• [cs.LG]Development of an accessible 10-year Digital CArdioVAscular (DiCAVA) risk assessment: a UK Biobank study
Nikola Dolezalova, Angus B. Reed, Alex Despotovic, Bernard Dillon Obika, Davide Morelli, Mert Aral, David Plans
http://arxiv.org/abs/2104.10079v1
• [cs.LG]Development of digitally obtainable 10-year risk scores for depression and anxiety in the general population
D. Morelli, N. Dolezalova, S. Ponzo, M. Colombo, D. Plans
http://arxiv.org/abs/2104.10087v1
• [cs.LG]Engineering Sketch Generation for Computer-Aided Design
Karl D. D. Willis, Pradeep Kumar Jayaraman, Joseph G. Lambourne, Hang Chu, Yewen Pu
http://arxiv.org/abs/2104.09621v1
• [cs.LG]Estimating Traffic Speeds using Probe Data: A Deep Neural Network Approach
Felix Rempe, Philipp Franeck, Klaus Bogenberger
http://arxiv.org/abs/2104.09686v1
• [cs.LG]GDDR: GNN-based Data-Driven Routing
Oliver Hope, Eiko Yoneki
http://arxiv.org/abs/2104.09919v1
• [cs.LG]GMLP: Building Scalable and Flexible Graph Neural Networks with Feature-Message Passing
Wentao Zhang, Yu Shen, Yu Shen, Yang Li, Xiaosen Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui
http://arxiv.org/abs/2104.09880v1
• [cs.LG]Geometric Deep Learning on Anatomical Meshes for the Prediction of Alzheimer’s Disease
Ignacio Sarasua, Jonwong Lee, Christian Wachinger
http://arxiv.org/abs/2104.10047v1
• [cs.LG]Gradient Matching for Domain Generalization
Yuge Shi, Jeffrey Seely, Philip H. S. Torr, N. Siddharth, Awni Hannun, Nicolas Usunier, Gabriel Synnaeve
http://arxiv.org/abs/2104.09937v1
• [cs.LG]Hierarchically Modeling Micro and Macro Behaviors via Multi-Task Learning for Conversion Rate Prediction
Hong Wen, Jing Zhang, Fuyu Lv, Wentian Bao, Tianyi Wang, Zulong Chen
http://arxiv.org/abs/2104.09713v1
• [cs.LG]IIoT-Enabled Health Monitoring for Integrated Heat Pump System Using Mixture Slow Feature Analysis
Yan Qin, Wen-tai Li, Chau Yuen, Wayes Tushar, Tapan Kumar Saha
http://arxiv.org/abs/2104.09876v1
• [cs.LG]Joint Online Learning and Decision-making via Dual Mirror Descent
Alfonso Lobos, Paul Grigas, Zheng Wen
http://arxiv.org/abs/2104.09750v1
• [cs.LG]LaTeX-Numeric: Language-agnostic Text attribute eXtraction for E-commerce Numeric Attributes
Kartik Mehta, Ioana Oprea, Nikhil Rasiwasia
http://arxiv.org/abs/2104.09576v1
• [cs.LG]Learning GMMs with Nearly Optimal Robustness Guarantees
Allen Liu, Ankur Moitra
http://arxiv.org/abs/2104.09665v1
• [cs.LG]Learning to Communicate with Strangers via Channel Randomisation Methods
Dylan Cope, Nandi Schoots
http://arxiv.org/abs/2104.09557v1
• [cs.LG]Manipulating SGD with Data Ordering Attacks
Ilia Shumailov, Zakhar Shumaylov, Dmitry Kazhdan, Yiren Zhao, Nicolas Papernot, Murat A. Erdogdu, Ross Anderson
http://arxiv.org/abs/2104.09667v1
• [cs.LG]Mapping the Internet: Modelling Entity Interactions in Complex Heterogeneous Networks
Šimon Mandlík, Tomáš Pevný
http://arxiv.org/abs/2104.09650v1
• [cs.LG]Neural Networks for Learning Counterfactual G-Invariances from Single Environments
S Chandra Mouli, Bruno Ribeiro
http://arxiv.org/abs/2104.10105v1
• [cs.LG]Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning
Robin Winter, Frank Noé, Djork-Arné Clevert
http://arxiv.org/abs/2104.09856v1
• [cs.LG]Phase Transition Adaptation
Claudio Gallicchio, Alessio Micheli, Luca Silvestri
http://arxiv.org/abs/2104.10132v1
• [cs.LG]Quaternion Generative Adversarial Networks
Eleonora Grassucci, Edoardo Cicero, Danilo Comminiello
http://arxiv.org/abs/2104.09630v1
• [cs.LG]Robust Sensor Fusion Algorithms Against VoiceCommand Attacks in Autonomous Vehicles
Jiwei Guan, Xi Zheng, Chen Wang, Yipeng Zhou, Alireza Jolfa
http://arxiv.org/abs/2104.09872v1
• [cs.LG]Robust Uncertainty Bounds in Reproducing Kernel Hilbert Spaces: A Convex Optimization Approach
Paul Scharnhorst, Emilio T. Maddalena, Yuning Jiang, Colin N. Jones
http://arxiv.org/abs/2104.09582v1
• [cs.LG]Semantic similarity metrics for learned image registration
Steffen Czolbe, Oswin Krause, Aasa Feragen
http://arxiv.org/abs/2104.10051v1
• [cs.LG]Transfer learning suppresses simulation bias in predictive models built from sparse, multi-modal data
Bogdan Kustowski, Jim A. Gaffney, Brian K. Spears, Gemma J. Anderson, Rushil Anirudh, Peer-Timo Bremer, Jayaraman J. Thiagarajan
http://arxiv.org/abs/2104.09684v1
• [cs.LG]What is Wrong with One-Class Anomaly Detection?
JuneKyu Park, Jeong-Hyeon Moon, Namhyuk Ahn, Kyung-Ah Sohn
http://arxiv.org/abs/2104.09793v1
• [cs.MM]Detection of Audio-Video Synchronization Errors Via Event Detection
Joshua P. Ebenezer, Yongjun Wu, Hai Wei, Sriram Sethuraman, Zongyi Liu
http://arxiv.org/abs/2104.10116v1
• [cs.NE]BraidNet: procedural generation of neural networks for image classification problems using braid theory
Olga Lukyanova, Oleg Nikitin, Alex Kunin
http://arxiv.org/abs/2104.10010v1
• [cs.NE]Conditional Coding and Variable Bitrate for Practical Learned Video Coding
Théo Ladune, Pierrick Philippe, Wassim Hamidouche, Lu Zhang, Olivier Déforges
http://arxiv.org/abs/2104.09103v2
• [cs.NE]Hypervolume-Optimal -Distributions on Line/Plane-based Pareto Fronts in Three Dimensions
Ke Shang, Hisao Ishibuchi, Weiyu Chen, Yang Nan, Weiduo Liao
http://arxiv.org/abs/2104.09736v1
• [cs.NE]Multi-objective Evolutionary Algorithms are Generally Good: Maximizing Monotone Submodular Functions over Sequences
Chao Qian, Dan-Xuan Liu, Chao Feng, Ke Tang
http://arxiv.org/abs/2104.09884v1
• [cs.NI]WiFiMod: Transformer-based Indoor Human Mobility Modeling using Passive Sensing
Amee Trivedi, Kate Silverstein, Emma Strubell, Prashant Shenoy
http://arxiv.org/abs/2104.09835v1
• [cs.RO]A simple vision-based navigation and control strategy for autonomous drone racing
Artur Cyba, Hubert Szolc, Tomasz Kryjak
http://arxiv.org/abs/2104.09815v1
• [cs.RO]Accelerating Surgical Robotics Research: Reviewing 10 Years of Research with the dVRK
Claudia D’Ettorre, Andrea Mariani, Agostino Stilli, Ferdinando Rodriguez y Baena, Pietro Valdastri, Anton Deguet, Peter Kazanzides, Russell H. Taylor, Gregory S. Fischer, Simon P. DiMaio, Arianna Menciassi, Danail Stoyanov
http://arxiv.org/abs/2104.09869v1
• [cs.RO]Controlling Pivoting Gait using Graph Model Predictive Control
Ang Zhang, Keisuke Koyama, Weiwei Wan, Kensuke Harada
http://arxiv.org/abs/2104.09689v1
• [cs.RO]Efficient Online Transfer Learning for 3D Object Classification in Autonomous Driving
Rui Yang, Zhi Yan, Tao Yang, Yassine Ruichek
http://arxiv.org/abs/2104.10037v1
• [cs.RO]Federated Learning in Robotic and Autonomous Systems
Yu Xianjia, Jorge Pena Queralta, Jukka Heikkonen, Tomi Westerlund
http://arxiv.org/abs/2104.10141v1
• [cs.RO]GLiDE: Generalizable Quadrupedal Locomotion in Diverse Environments with a Centroidal Model
Zhaoming Xie, Xingye Da, Buck Babich, Animesh Garg, Michiel van de Panne
http://arxiv.org/abs/2104.09771v1
• [cs.RO]How Heavy Is It? Humanoid Robot Estimating Physical Properties of Unknown Objects Without Force/Torque Sensors
Zizhou Lao, Yuanfeng Han, Gregory S. Chirikjian
http://arxiv.org/abs/2104.09858v1
• [cs.RO]Identifying Driver Interactions via Conditional Behavior Prediction
Ekaterina Tolstaya, Reza Mahjourian, Carlton Downey, Balakrishnan Vadarajan, Benjamin Sapp, Dragomir Anguelov
http://arxiv.org/abs/2104.09959v1
• [cs.RO]Neural Tree Expansion for Multi-Robot Planning in Non-Cooperative Environments
Benjamin Riviere, Wolfgang Hoenig, Matthew Anderson, Soon-Jo Chung
http://arxiv.org/abs/2104.09705v1
• [cs.RO]Segmentation and Classification of EMG Time-Series During Reach-to-Grasp Motion
Mo Han, Mehrshad Zandigohar, Mariusz P. Furmanek, Mathew Yarossi, Gunar Schirner, Deniz Erdogmus
http://arxiv.org/abs/2104.09627v1
• [cs.RO]Spherical Multi-Modal Place Recognition for Heterogeneous Sensor Systems
Lukas Bernreiter, Lionel Ott, Juan Nieto, Roland Siegwart, Cesar Cadena
http://arxiv.org/abs/2104.10067v1
• [cs.RO]Tactile Perception based on Injected Vibration in Soft Sensor
Naoto Komeno, Takamitsu Matsubara
http://arxiv.org/abs/2104.09790v1
• [cs.RO]Towards Autonomous Robotic Precision Harvesting
Edo Jelavic, Dominic Jud, Pascal Egli, Marco Hutter
http://arxiv.org/abs/2104.10110v1
• [cs.RO]Towards Guaranteed Safety Assurance of Automated Driving Systems with Scenario Sampling: An Invariant Set Perspective (Extended Version)
Bowen Weng, Linda Capito, Umit Ozguner, Keith Redmill
http://arxiv.org/abs/2104.09595v1
• [cs.SD]A cappella: Audio-visual Singing Voice Separation
Juan F. Montesinos, Venkatesh S. Kadandale, Gloria Haro
http://arxiv.org/abs/2104.09946v1
• [cs.SD]AdaSpeech 2: Adaptive Text to Speech with Untranscribed Data
Yuzi Yan, Xu Tan, Bohan Li, Tao Qin, Sheng Zhao, Yuan Shen, Tie-Yan Liu
http://arxiv.org/abs/2104.09715v1
• [cs.SD]On the Impact of Word Error Rate on Acoustic-Linguistic Speech Emotion Recognition: An Update for the Deep Learning Era
Shahin Amiriparian, Artem Sokolov, Ilhan Aslan, Lukas Christ, Maurice Gerczuk, Tobias Hübner, Dmitry Lamanov, Manuel Milling, Sandra Ottl, Ilya Poduremennykh, Evgeniy Shuranov, Björn W. Schuller
http://arxiv.org/abs/2104.10121v1
• [cs.SD]Review of end-to-end speech synthesis technology based on deep learning
Zhaoxi Mu, Xinyu Yang, Yizhuo Dong
http://arxiv.org/abs/2104.09995v1
• [cs.SI]Mapping Moral Valence of Tweets Following the Killing of George Floyd
J. Hunter Priniski, Negar Mokhberian, Bahareh Harandizadeh, Fred Morstatter, Kristina Lerman, Hongjing Lu, P. Jeffrey Brantingham
http://arxiv.org/abs/2104.09578v1
• [cs.SI]On the Prevention of Privacy Threats: How Can We Persuade Our Social Network Users?
Ramon Ruiz-Dolz, Jose Alemany, Stella Heras, Ana García-Fornes
http://arxiv.org/abs/2104.10004v1
• [cs.SI]Political Discussion is Abundant in Non-political Subreddits (and Less Toxic)
Ashwin Rajadesingan, Ceren Budak, Paul Resnick
http://arxiv.org/abs/2104.09560v1
• [eess.IV]An Attention-based Weakly Supervised framework for Spitzoid Melanocytic Lesion Diagnosis in WSI
Rocío del Amor, Laëtitia Launet, Adrián Colomer, Anaïs Moscardó, Andrés Mosquera-Zamudio, Carlos Monteagudo, Valery Naranjo
http://arxiv.org/abs/2104.09878v1
• [eess.IV]Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images
Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Leyi Wei, Ran Su
http://arxiv.org/abs/2104.09699v1
• [eess.IV]Free-form tumor synthesis in computed tomography images via richer generative adversarial network
Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Ran Su
http://arxiv.org/abs/2104.09701v1
• [eess.IV]Memory Efficient 3D U-Net with Reversible Mobile Inverted Bottlenecks for Brain Tumor Segmentation
Mihir Pendse, Vithursan Thangarasa, Vitaliy Chiley, Ryan Holmdahl, Joel Hestness, Dennis DeCoste
http://arxiv.org/abs/2104.09648v1
• [eess.IV]Multiscale deep context modeling for lossless point cloud geometry compression
Dat Thanh Nguyen, Maurice Quach, Giuseppe Valenzise, Pierre Duhamel
http://arxiv.org/abs/2104.09859v1
• [eess.SP]Characterizing the UAV-to-Machine UWB Radio Channel in Smart Factories
Vasilii Semkin, Enrico M. Vitucci, Franco Fuschini, Marina Barbiroli, Vittorio Degli-Esposti, Claude Oestges
http://arxiv.org/abs/2104.09629v1
• [eess.SY]Distributed nonlinear model predictive control of an autonomous tractor-trailer system
Erkan Kayacan, Erdal Kayacan, Herman Ramon, Wouter Saeys
http://arxiv.org/abs/2104.09708v1
• [eess.SY]Model-predictive control and reinforcement learning in multi-energy system case studies
Glenn Ceusters, Román Cantú Rodríguez, Alberte Bouso García, Rüdiger Franke, Geert Deconinck, Lieve Helsen, Ann Nowé, Maarten Messagie, Luis Ramirez Camargo
http://arxiv.org/abs/2104.09785v1
• [math.PR]Stein’s method of normal approximation: Some recollections and reflections
Louis H. Y. Chen
http://arxiv.org/abs/2104.08302v1
• [math.ST]Convergence of Gaussian process regression: Optimality, robustness, and relationship with kernel ridge regression
Wenjia Wang, Bing-Yi Jing
http://arxiv.org/abs/2104.09778v1
• [physics.med-ph]Estimating the Risk of Infection Spread in Connected Local Regions by a Lattice of SEIR Circuits
Yukio Ohsawa
http://arxiv.org/abs/2104.09719v1
• [physics.soc-ph]Strategies for COVID-19 vaccination under a shortage scenario: a geo-stochastic modelling approach
N. L. Barreiro, C. I. Ventura, T. Govezensky, M. Núñez, P. G. Bolcatto, R. A. Barrio
http://arxiv.org/abs/2104.09590v1
• [q-bio.NC]The principle of weight divergence facilitation for unsupervised pattern recognition in spiking neural networks
Oleg Nikitin, Olga Lukyanova, Alex Kunin
http://arxiv.org/abs/2104.09943v1
• [q-bio.PE]Exploring Evolved Multicellular Life Histories in a Open-Ended Digital Evolution System
Matthew Andres Moreno, Charles Ofria
http://arxiv.org/abs/2104.10081v1
• [q-fin.PR]Stock Market Trend Analysis Using Hidden Markov Model and Long Short Term Memory
Mingwen Liu, Junbang Huo, Yulin Wu, Jinge Wu
http://arxiv.org/abs/2104.09700v1
• [quant-ph]Interpolating between symmetric and asymmetric hypothesis testing
Robert Salzmann, Nilanjana Datta
http://arxiv.org/abs/2104.09553v1
• [quant-ph]Supervisory Control of Quantum Discrete Event Systems
Daowen Qiu
http://arxiv.org/abs/2104.09753v1
• [stat.AP]Bisecting for selecting: using a Laplacian eigenmaps clustering approach to create the new European football Super League
A. J. Bond, C. B. Beggs
http://arxiv.org/abs/2104.10125v1
• [stat.AP]Cross-population coupling of neural activity based on Gaussian process current source densities
Natalie Klein, Joshua H. Siegle, Tobias Teichert, Robert E. Kass
http://arxiv.org/abs/2104.10070v1
• [stat.AP]GARCH-UGH: A bias-reduced approach for dynamic extreme Value-at-Risk estimation in financial time series
Hibiki Kaibuchi, Yoshinori Kawasaki, Gilles Stupfler
http://arxiv.org/abs/2104.09879v1
• [stat.AP]Partitioned equivalence test: reduction of the validation effort by using artificial intelligence to pre-classify the quality of automatic passenger counts
David Ellenberger, Michael Siebert
http://arxiv.org/abs/2104.09697v1
• [stat.AP]Selecting the Most Effective Nudge: Evidence from a Large-Scale Experiment on Immunization
Abhijit Banerjee, Arun G. Chandrasekhar, Suresh Dalpath, Esther Duflo, John Floretta, Matthew O. Jackson, Harini Kannan, Francine Loza, Anirudh Sankar, Anna Schrimpf, Maheshwor Shrestha
http://arxiv.org/abs/2104.09645v1
• [stat.ME]Adaptive Nonparametric Psychophysics
Lucy Owen, Jonathan Browder, Benjamin Letham, Gideon Stocek, Chase Tymms, Michael Shvartsman
http://arxiv.org/abs/2104.09549v1
• [stat.ME]Analyzing multidimensional movement interaction with generalized cross-wavelet transform
Petri Toiviainen, Martin Hartmann
http://arxiv.org/abs/2104.09783v1
• [stat.ME]Covariate adjustment in continuous biomarker assessment
Ziyi Li, Yijuan Huang, Dattatraya Patil, Martin G. Sanda
http://arxiv.org/abs/2104.10021v1
• [stat.ME]Critical Window Variable Selection for Mixtures: Estimating the Impact of Multiple Air Pollutants on Stillbirth
Joshua L. Warren, Howard H. Chang, Lauren K. Warren, Matthew J. Strickland, Lyndsey A. Darrow, James A. Mulholland
http://arxiv.org/abs/2104.09730v1
• [stat.ME]Data Envelopment Analysis models with imperfect knowledge of input and output values: An application to Portuguese public hospitals
Diogo Cunha Ferreira, Josè RUi Figueira, Salvatore Greco, Rui Marques
http://arxiv.org/abs/2104.09890v1
• [stat.ME]Partial Correlation Graphical LASSO
Jack Storror Carter, David Rossell, Jim Q. Smith
http://arxiv.org/abs/2104.10099v1
• [stat.ME]Screening methods for linear errors-in-variables models in high dimensions
Linh Nghiem, Francis K. C. Hui, Samuel Mueller, A. H. Welsh
http://arxiv.org/abs/2104.09812v1
• [stat.ME]Simulation-Based Inference with Approximately Correct Parameters via Maximum Entropy
Rainier Barrett, Mehrad Ansari, Gourab Ghoshal, Andrew D White
http://arxiv.org/abs/2104.09668v1
• [stat.ME]Sparse Sliced Inverse Regression via Cholesky Matrix Penalization
Linh Nghiem, Francis K. C. Hui, Samuel Mueller, A. H. Welsh
http://arxiv.org/abs/2104.09838v1
• [stat.ME]Using a rank-based design in estimating prevalence of breast cancer
M. Mahdizadeha, Ehsan Zamanzade
http://arxiv.org/abs/2104.09821v1
• [stat.ML]Asymmetric compressive learning guarantees with applications to quantized sketches
Vincent Schellekens, Laurent Jacques
http://arxiv.org/abs/2104.10061v1
• [stat.ML]Bayesian subset selection and variable importance for interpretable prediction and classification
Daniel R. Kowal
http://arxiv.org/abs/2104.10150v1
• [stat.ML]Bridging between soft and hard thresholding by scaling
Katsuyuki Hagiwara
http://arxiv.org/abs/2104.09703v1
• [stat.ML]Differentiable Model Compression via Pseudo Quantization Noise
Alexandre Défossez, Yossi Adi, Gabriel Synnaeve
http://arxiv.org/abs/2104.09987v1
• [stat.ML]Forecasting The JSE Top 40 Using Long Short-Term Memory Networks
Adam Balusik, Jared de Magalhaes, Rendani Mbuvha
http://arxiv.org/abs/2104.09855v1
• [stat.ML]Knowledge Distillation as Semiparametric Inference
Tri Dao, Govinda M Kamath, Vasilis Syrgkanis, Lester Mackey
http://arxiv.org/abs/2104.09732v1
• [stat.ML]Space Partitioning and Regression Mode Seeking via a Mean-Shift-Inspired Algorithm
Wanli Qiao, Amarda Shehu
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