astro-ph.IM - 仪器仪表和天体物理学方法
cond-mat.mtrl-sci - 材料科学
cs.AI - 人工智能
cs.CL - 计算与语言
cs.CR - 加密与安全
cs.CV - 机器视觉与模式识别
cs.CY - 计算与社会
cs.DC - 分布式、并行与集群计算
cs.HC - 人机接口
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.NE - 神经与进化计算
cs.NI - 网络和互联网体系结构
cs.RO - 机器人学
cs.SD - 声音处理
cs.SI - 社交网络与信息网络
econ.EM - 计量经济学
eess.IV - 图像与视频处理
eess.SP - 信号处理
hep-ph - 高能物理现象学
math.NA - 数值分析
math.OC - 优化与控制
math.ST - 统计理论
physics.geo-ph - 地球物理学
quant-ph - 量子物理
stat.AP - 应用统计
stat.ME - 统计方法论
stat.ML - (统计)机器学习
• [astro-ph.IM]Informative Bayesian model selection for RR Lyrae star classifiers
• [cond-mat.mtrl-sci]Analogical discovery of disordered perovskite oxides by crystal structure information hidden in unsupervised material fingerprints
• [cs.AI]A Flawed Dataset for Symbolic Equation Verification
• [cs.AI]Bi-objective Search with Bi-directional A*
• [cs.AI]Bridging the Gap Between Explainable AI and Uncertainty Quantification to Enhance Trustability
• [cs.AI]Efficiently Explaining CSPs with Unsatisfiable Subset Optimization
• [cs.AI]Graph Based Link Prediction between Human Phenotypes and Genes
• [cs.AI]Information algebras of coherent sets of gambles in general possibility spaces
• [cs.AI]KnowSR: Knowledge Sharing among Homogeneous Agents in Multi-agent Reinforcement Learning
• [cs.AI]Predicting Human Card Selection in Magic: The Gathering with Contextual Preference Ranking
• [cs.AI]Quantifying Uncertainty in Deep Spatiotemporal Forecasting
• [cs.AI]Trajectory Modeling via Random Utility Inverse Reinforcement Learning
• [cs.AI]Transfer Learning and Curriculum Learning in Sokoban
• [cs.AI]Uncertainty-Aware Signal Temporal logic
• [cs.CL]A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions
• [cs.CL]Argument Undermining: Counter-Argument Generation by Attacking Weak Premises
• [cs.CL]BASS: Boosting Abstractive Summarization with Unified Semantic Graph
• [cs.CL]ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer
• [cs.CL]Dynamic Semantic Graph Construction and Reasoning for Explainable Multi-hop Science Question Answering
• [cs.CL]Empirical Error Modeling Improves Robustness of Noisy Neural Sequence Labeling
• [cs.CL]Estimating Redundancy in Clinical Text
• [cs.CL]Extending rational models of communication from beliefs to actions
• [cs.CL]Extending the Abstraction of Personality Types based on MBTI with Machine Learning and Natural Language Processing
• [cs.CL]Focus Attention: Promoting Faithfulness and Diversity in Summarization
• [cs.CL]Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting
• [cs.CL]Look inside. Predicting stock prices by analysing an enterprise intranet social network and using word co-occurrence networks
• [cs.CL]Multi-Task Learning of Generation and Classification for Emotion-Aware Dialogue Response Generation
• [cs.CL]NEUer at SemEval-2021 Task 4: Complete Summary Representation by Filling Answers into Question for Matching Reading Comprehension
• [cs.CL]TR-BERT: Dynamic Token Reduction for Accelerating BERT Inference
• [cs.CL]The advent and fall of a vocabulary learning bias from communicative efficiency
• [cs.CL]ViBERTgrid: A Jointly Trained Multi-Modal 2D Document Representation for Key Information Extraction from Documents
• [cs.CR]’They’re all about pushing the products and shiny things rather than fundamental security’ Mapping Socio-technical Challenges in Securing the Smart Home
• [cs.CR]Narwhal and Tusk: A DAG-based Mempool and Efficient BFT Consensus
• [cs.CR]OFEI: A Semi-black-box Android Adversarial Sample Attack Framework Against DLaaS
• [cs.CR]Security in Next Generation Mobile Payment Systems: A Comprehensive Survey
• [cs.CV]3D-Aware Ellipse Prediction for Object-Based Camera Pose Estimation
• [cs.CV]A Geometry-Informed Deep Learning Framework for Ultra-Sparse 3D Tomographic Image Reconstruction
• [cs.CV]BoundarySqueeze: Image Segmentation as Boundary Squeezing
• [cs.CV]Centimeter-Wave Free-Space Time-of-Flight Imaging
• [cs.CV]DSANet: Dynamic Segment Aggregation Network for Video-Level Representation Learning
• [cs.CV]DTNN: Energy-efficient Inference with Dendrite Tree Inspired Neural Networks for Edge Vision Applications
• [cs.CV]Deep High-Resolution Representation Learning for Cross-Resolution Person Re-identification
• [cs.CV]Dynamic Dual Sampling Module for Fine-Grained Semantic Segmentation
• [cs.CV]Elastic Shape Analysis of Brain Structures for Predictive Modeling of PTSD
• [cs.CV]Emotion Recognition in Horses with Convolutional Neural Networks
• [cs.CV]Estimates of maize plant density from UAV RGB images using Faster-RCNN detection model: impact of the spatial resolution
• [cs.CV]FILTRA: Rethinking Steerable CNN by Filter Transform
• [cs.CV]Fast and Accurate Scene Parsing via Bi-direction Alignment Networks
• [cs.CV]Feature Space Targeted Attacks by Statistic Alignment
• [cs.CV]Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images
• [cs.CV]GAN for Vision, KG for Relation: a Two-stage Deep Network for Zero-shot Action Recognition
• [cs.CV]High-Frequency aware Perceptual Image Enhancement
• [cs.CV]Human-centric Relation Segmentation: Dataset and Solution
• [cs.CV]Hyperspectral Image Denoising with Log-Based Robust PCA
• [cs.CV]Improving Few-shot Learning with Weakly-supervised Object Localization
• [cs.CV]Learning Better Visual Dialog Agents with Pretrained Visual-Linguistic Representation
• [cs.CV]Multi-view 3D Reconstruction of a Texture-less Smooth Surface of Unknown Generic Reflectance
• [cs.CV]Out-of-Distribution Detection in Dermatology using Input Perturbation and Subset Scanning
• [cs.CV]PAS-MEF: Multi-exposure image fusion based on principal component analysis, adaptive well-exposedness and saliency map
• [cs.CV]Pan-sharpening via High-pass Modification Convolutional Neural Network
• [cs.CV]Polarimetric Spatio-Temporal Light Transport Probing
• [cs.CV]Real-time Monocular Depth Estimation with Sparse Supervision on Mobile
• [cs.CV]Review on Indoor RGB-D Semantic Segmentation with Deep Convolutional Neural Networks
• [cs.CV]SBEVNet: End-to-End Deep Stereo Layout Estimation
• [cs.CV]SHD360: A Benchmark Dataset for Salient Human Detection in 360° Videos
• [cs.CV]SRH-Net: Stacked Recurrent Hourglass Network for Stereo Matching
• [cs.CV]ST-HOI: A Spatial-Temporal Baseline for Human-Object Interaction Detection in Videos
• [cs.CV]SiamMOT: Siamese Multi-Object Tracking
• [cs.CV]Small and large scale critical infrastructures detection based on deep learning using high resolution orthogonal images
• [cs.CV]TIPCB: A Simple but Effective Part-based Convolutional Baseline for Text-based Person Search
• [cs.CV]TRACE: A Differentiable Approach to Line-level Stroke Recovery for Offline Handwritten Text
• [cs.CV]Tab.IAIS: Flexible Table Recognition and Semantic Interpretation System
• [cs.CV]Temporal Action Proposal Generation with Transformers
• [cs.CV]Towards Compact Single Image Super-Resolution via Contrastive Self-distillation
• [cs.CV]Towards Unpaired Depth Enhancement and Super-Resolution in the Wild
• [cs.CV]TransLoc3D : Point Cloud based Large-scale Place Recognition using Adaptive Receptive Fields
• [cs.CV]TransNAS-Bench-101: Improving Transferability and Generalizability of Cross-Task Neural Architecture Search
• [cs.CV]Understanding Mobile GUI: from Pixel-Words to Screen-Sentences
• [cs.CV]Unsupervised Scale-consistent Depth Learning from Video
• [cs.CV]Unsupervised Visual Representation Learning by Online Constrained K-Means
• [cs.CV]VISITRON: Visual Semantics-Aligned Interactively Trained Object-Navigator
• [cs.CY]Finance 4.0: Design principles for a value-sensitive cryptoecnomic system to address sustainability
• [cs.CY]Throughput-Fairness Tradeoffs in Mobility Platforms
• [cs.DC]A Holistic View on Resource Management in Serverless Computing Environments: Taxonomy, and Future Directions
• [cs.DC]A linear parallel algorithm to compute bisimulation and relational coarsest partitions
• [cs.DC]Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads
• [cs.DC]Efficient Assignment of Identities in Anonymous Populations
• [cs.DC]Execution of NVRAM Programs with Persistent Stack
• [cs.DC]Payment Does Not Imply Consensus (For Distributed Payment Systems)
• [cs.DC]Providing Meaningful Data Summarizations Using Examplar-based Clustering in Industry 4.0
• [cs.DC]The Component Diagnosability of General Networks
• [cs.DC]The Topology of Randomized Symmetry-Breaking Distributed Computing
• [cs.DC]Transmission Failure Analysis of Multi-Protection Routing in Data Center Networks with Heterogeneous Edge-Core Servers
• [cs.HC]Immersive virtual reality methods in cognitive neuroscience and neuropsychology: Meeting the criteria of the National Academy of Neuropsychology and American Academy of Clinical Neuropsychology
• [cs.IR]Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation
• [cs.IR]Hybrid Movie Recommender System based on Resource Allocation
• [cs.IR]Personalized Transformer for Explainable Recommendation
• [cs.IR]Predicting Links on Wikipedia with Anchor Text Information
• [cs.IT]Application of Opportunistic Bit to Multilevel Codes
• [cs.IT]Centralized Learning of the Distributed Downlink Channel Estimators in FDD Systems using Uplink Data
• [cs.IT]Discrete MMSE Precoding for Multiuser MIMO Systems with PSK Modulation
• [cs.IT]Improving THz Coverage for 6G URLLC Services via Exploiting Mobile Computing
• [cs.IT]NPD Entropy: A Non-Parametric Differential Entropy Rate Estimator
• [cs.IT]On learning parametric distributions from quantized samples
• [cs.IT]Pruned Collapsed Projection-Aggregation Decoding of Reed-Muller Codes
• [cs.IT]Resource Allocation for Massive MIMO HetNets with Quantize-Forward Relaying
• [cs.IT]Security Analysis in Multicasting over Shadowed Rician and α-μ Fading Channels: A Dual-hop Hybrid Satellite Terrestrial Relaying Network
• [cs.LG]A Comparison of Reward Functions in Q-Learning Applied to a Cart Position Problem
• [cs.LG]A Generalised Inverse Reinforcement Learning Framework
• [cs.LG]A unified framework based on graph consensus term for multi-view learning
• [cs.LG]AdaGCN:Adaptive Boosting Algorithm for Graph Convolutional Networks on Imbalanced Node Classification
• [cs.LG]Adaptive Local Kernels Formulation of Mutual Information with Application to Active Post-Seismic Building Damage Inference
• [cs.LG]An Upper Limit of Decaying Rate with Respect to Frequency in Deep Neural Network
• [cs.LG]Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query Shift
• [cs.LG]Calibration and Uncertainty Quantification of Bayesian Convolutional Neural Networks for Geophysical Applications
• [cs.LG]Deep Descriptive Clustering
• [cs.LG]Deep Neural Networks and End-to-End Learning for Audio Compression
• [cs.LG]DiBS: Differentiable Bayesian Structure Learning
• [cs.LG]Exploring Autoencoder-Based Error-Bounded Compression for Scientific Data
• [cs.LG]FNAS: Uncertainty-Aware Fast Neural Architecture Search
• [cs.LG]GCNBoost: Artwork Classification by Label Propagation through a Knowledge Graph
• [cs.LG]GraphFM: Graph Factorization Machines for Feature Interaction Modeling
• [cs.LG]HIN-RNN: A Graph Representation Learning Neural Network for Fraudster Group Detection With No Handcrafted Features
• [cs.LG]Hierarchical Subspace Learning for Dimensionality Reduction to Improve Classification Accuracy in Large Data Sets
• [cs.LG]Honest-but-Curious Nets: Sensitive Attributes of Private Inputs can be Secretly Coded into the Entropy of Classifiers’ Outputs
• [cs.LG]Hyperparameter Selection for Imitation Learning
• [cs.LG]Improving Machine Learning-Based Modeling of Semiconductor Devices by Data Self-Augmentation
• [cs.LG]Intrusion Detection System in Smart Home Network Using Bidirectional LSTM and Convolutional Neural Networks Hybrid Model
• [cs.LG]Investigating Manifold Neighborhood size for Nonlinear Analysis of LIBS Amino Acid Spectra
• [cs.LG]LENs: a Python library for Logic Explained Networks
• [cs.LG]Learning Generative Prior with Latent Space Sparsity Constraints
• [cs.LG]Matching Targets Across Domains with RADON, the Re-Identification Across Domain Network
• [cs.LG]Mixture of ELM based experts with trainable gating network
• [cs.LG]Near-optimal Offline and Streaming Algorithms for Learning Non-Linear Dynamical Systems
• [cs.LG]Optimal Sampling Density for Nonparametric Regression
• [cs.LG]Public Transportation Demand Analysis: A Case Study of Metropolitan Lagos
• [cs.LG]Reproducibility Companion Paper: Knowledge Enhanced Neural Fashion Trend Forecasting
• [cs.LG]Robust Fairness-aware Learning Under Sample Selection Bias
• [cs.LG]Robust Principal Component Analysis Using a Novel Kernel Related with the L1-Norm
• [cs.LG]Safe Model-based Off-policy Reinforcement Learning for Eco-Driving in Connected and Automated Hybrid Electric Vehicles
• [cs.LG]Scaling Hierarchical Agglomerative Clustering to Billion-sized Datasets
• [cs.LG]Self-Supervised Graph Representation Learning via Topology Transformations
• [cs.LG]Semi-supervised learning of images with strong rotational disorder: assembling nanoparticle libraries
• [cs.LG]Structured Convolutional Kernel Networks for Airline Crew Scheduling
• [cs.LG]Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization
• [cs.LG]Taxonomy of academic plagiarism methods
• [cs.LG]The Perturbed Prox-Preconditioned SPIDER algorithm for EM-based large scale learning
• [cs.LG]There is no data like more data — current status of machine learning datasets in remote sensing
• [cs.LG]Towards Scalable Verification of RL-Driven Systems
• [cs.LG]Towards Teachable Autonomous Agents
• [cs.LG]Towards Understanding the Condensation of Two-layer Neural Networks at Initial Training
• [cs.LG]Unbiased Asymmetric Actor-Critic for Partially Observable Reinforcement Learning
• [cs.LG]Utterance partitioning for speaker recognition: an experimental review and analysis with new findings under GMM-SVM framework
• [cs.NE]Deep neural network enabled corrective source term approach to hybrid analysis and modeling
• [cs.NE]Evolutionary Algorithms for Designing Reversible Cellular Automata
• [cs.NE]On the Genotype Compression and Expansion for Evolutionary Algorithms in the Continuous Domain
• [cs.NE]Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks
• [cs.NI]FENXI: Deep-learning Traffic Analytics at the Edge
• [cs.RO]A Closed-Loop Linear Covariance Framework for Vehicle Path Planning in an Uncertain Obstacle Field
• [cs.RO]Affine Transport for Sim-to-Real Domain Adaptation
• [cs.RO]An Integrated Dynamic Method for Allocating Roles and Planning Tasks for Mixed Human-Robot Teams
• [cs.RO]Avoiding Dense and Dynamic Obstacles in Enclosed Spaces: Application to Moving in a Simulated Crowd
• [cs.RO]Characterizing Multidimensional Capacitive Servoing for Physical Human-Robot Interaction
• [cs.RO]Empirical Investigation of Factors that Influence Human Presence and Agency in Telepresence Robot
• [cs.RO]Feature Space Exploration For Planning Initial Benthic AUV Surveys
• [cs.RO]Grasp Planning for Flexible Production with Small Lot Sizes based on CAD models using GPIS and Bayesian Optimization
• [cs.RO]Inferring Temporal Logic Properties from Data using Boosted Decision Trees
• [cs.RO]Lazy Lifelong Planning for Efficient Replanning in Graphs with Expensive Edge Evaluation
• [cs.RO]Learning an Overlap-based Observation Model for 3D LiDAR Localization
• [cs.RO]Model-Dependent Prosthesis Control with Real-Time Force Sensing
• [cs.RO]On Enhancing Ground Surface Detection from Sparse Lidar Point Cloud
• [cs.RO]Simple But Effective Redundant Odometry for Autonomous Vehicles
• [cs.RO]Team NimbRo’s UGV Solution for Autonomous Wall Building and Fire Fighting at MBZIRC 2020
• [cs.RO]Theory of Geometric Super-resolution for Haptic Sensor Design
• [cs.RO]Unilateral Ground Contact Force Regulations in Thruster-Assisted Legged Locomotion
• [cs.SD]A Modulation Front-End for Music Audio Tagging
• [cs.SD]RNNoise-Ex: Hybrid Speech Enhancement System based on RNN and Spectral Features
• [cs.SD]Spectrum Correction: Acoustic Scene Classification with Mismatched Recording Devices
• [cs.SI]A Configuration Model with Triadic Closure
• [cs.SI]Big data and big values: When companies need to rethink themselves
• [cs.SI]Dynamics of Public Opinion Evolution with Asymmetric Cognitive Bias
• [cs.SI]Graph Neural Network Based VC Investment Success Prediction
• [cs.SI]The Structure of Toxic Conversations on Twitter
• [cs.SI]The incel lexicon: Deciphering the emergent cryptolect of a global misogynistic community
• [econ.EM]Measuring Financial Advice: aligning client elicited and revealed risk
• [eess.IV]Adversarial Attack Driven Data Augmentation for Accurate And Robust Medical Image Segmentation
• [eess.IV]CoRSAI: A System for Robust Interpretation of CT Scans of COVID-19 Patients Using Deep Learning
• [eess.IV]Deep learning-based bias transfer for overcoming laboratory differences of microscopic images
• [eess.IV]Dense Regression Activation Maps For Lesion Segmentation in CT scans of COVID-19 patients
• [eess.IV]Experimenting with Knowledge Distillation techniques for performing Brain Tumor Segmentation
• [eess.IV]Self-Org
1000
anized Variational Autoencoders (Self-VAE) for Learned Image Compression
• [eess.IV]Towards Low-Photon Nanoscale Imaging: Holographic Phase Retrieval via Maximum Likelihood Optimization
• [eess.SP]Detection and blind channel estimation for UAV-aided wireless sensor networks in smart cities under mobile jamming attack
• [eess.SP]Model Mismatch Trade-offs in LMMSE Estimation
• [eess.SP]Neural Network Based Sleep Phases Classification for Resource Constraint Environments
• [hep-ph]Towards a method to anticipate dark matter signals with deep learning at the LHC
• [math.NA]Hashing embeddings of optimal dimension, with applications to linear least squares
• [math.NA]Least-Squares ReLU Neural Network (LSNN) Method For Linear Advection-Reaction Equation
• [math.NA]Least-Squares ReLU Neural Network (LSNN) Method For Scalar Nonlinear Hyperbolic Conservation Law
• [math.OC]Practical Schemes for Finding Near-Stationary Points of Convex Finite-Sums
• [math.OC]Principal Component Hierarchy for Sparse Quadratic Programs
• [math.OC]Saddle Point Optimization with Approximate Minimization Oracle and its Application to Robust Berthing Control
• [math.ST]Diffusion Means in Geometric Spaces
• [math.ST]Estimation of time-varying characteristics of locally stationary functional time series
• [math.ST]Nonparametric classes for identification in random coefficients models when regressors have limited variation
• [math.ST]On robust learning in the canonical change point problem under heavy tailed errors in finite and growing dimensions
• [math.ST]On the Tail Behaviour of Aggregated Random Variables
• [physics.geo-ph]Connect the Dots: In Situ 4D Seismic Monitoring of CO Storage with Spatio-temporal CNNs
• [physics.geo-ph]Deep Learning-based Damage Mapping with InSAR Coherence Time Series
• [quant-ph]A Quantum Hopfield Associative Memory Implemented on an Actual Quantum Processor
• [quant-ph]IGO-QNN: Quantum Neural Network Architecture for Inductive Grover Oracularization
• [quant-ph]Quantum Embedding Search for Quantum Machine Learning
• [stat.AP]A statistical model of COVID-19 testing in populations: effects of sampling bias and testing errors
• [stat.AP]Conformal Anomaly Detection on Spatio-temporal Observations with Missing Data
• [stat.AP]Hidden Markov and semi-Markov models: When and why are these models useful to classify states in time series data?
• [stat.AP]Ranking earthquake forecasts using proper scoring rules: Binary events in a low probability environment
• [stat.ME]Efficient Bayesian model selection for coupled hidden Markov models with application to infectious diseases
• [stat.ME]Functional Data Analysis with Rough Sampled Paths?
• [stat.ME]Group selection and shrinkage with application to sparse semiparametric modeling
• [stat.ME]Kernel Knockoffs Selection for Nonparametric Additive Models
• [stat.ME]Multiple Change Point Detection in Structured VAR Models: the VARDetect R Package
• [stat.ME]Testing Cross-Validation Variants in Ranking Environments
• [stat.ML]Bias-Robust Bayesian Optimization via Dueling Bandit
• [stat.ML]Model-Constrained Deep Learning Approaches for Inverse Problems
• [stat.ML]SGD with Coordinate Sampling: Theory and Practice
• [stat.ML]SHAFF: Fast and consistent SHApley eFfect estimates via random Forests
• [stat.ML]Scalable Cross Validation Losses for Gaussian Process Models
• [stat.ML]Unbiased Estimation of the Gradient of the Log-Likelihood for a Class of Continuous-Time State-Space Models
·····································
• [astro-ph.IM]Informative Bayesian model selection for RR Lyrae star classifiers
F. Pérez-Galarce, K. Pichara, P. Huijse, M. Catelan, D. Mery
http://arxiv.org/abs/2105.11531v1
• [cond-mat.mtrl-sci]Analogical discovery of disordered perovskite oxides by crystal structure information hidden in unsupervised material fingerprints
Achintha Ihalage, Yang Hao
http://arxiv.org/abs/2105.11877v1
• [cs.AI]A Flawed Dataset for Symbolic Equation Verification
Ernest Davis
http://arxiv.org/abs/2105.11479v1
• [cs.AI]Bi-objective Search with Bi-directional A*
Saman Ahmadi, Guido Tack, Daniel Harabor, Philip Kilby
http://arxiv.org/abs/2105.11888v1
• [cs.AI]Bridging the Gap Between Explainable AI and Uncertainty Quantification to Enhance Trustability
Dominik Seuß
http://arxiv.org/abs/2105.11828v1
• [cs.AI]Efficiently Explaining CSPs with Unsatisfiable Subset Optimization
Emilio Gamba, Bart Bogaerts, Tias Guns
http://arxiv.org/abs/2105.11763v1
• [cs.AI]Graph Based Link Prediction between Human Phenotypes and Genes
Rushabh Patel, Yanhui Guo
http://arxiv.org/abs/2105.11989v1
• [cs.AI]Information algebras of coherent sets of gambles in general possibility spaces
Juerg Kohlas, Arianna Casanova, Marco Zaffalon
http://arxiv.org/abs/2105.12037v1
• [cs.AI]KnowSR: Knowledge Sharing among Homogeneous Agents in Multi-agent Reinforcement Learning
Zijian Gao, Kele Xu, Bo Ding, Huaimin Wang, Yiying Li, Hongda Jia
http://arxiv.org/abs/2105.11611v1
• [cs.AI]Predicting Human Card Selection in Magic: The Gathering with Contextual Preference Ranking
Timo Bertram, Johannes Fürnkranz, Martin Müller
http://arxiv.org/abs/2105.11864v1
• [cs.AI]Quantifying Uncertainty in Deep Spatiotemporal Forecasting
Dongxia Wu, Liyao Gao, Xinyue Xiong, Matteo Chinazzi, Alessandro Vespignani, Yi-An Ma, Rose Yu
http://arxiv.org/abs/2105.11982v1
• [cs.AI]Trajectory Modeling via Random Utility Inverse Reinforcement Learning
Anselmo R. Pitombeira-Neto, Helano P. Santos, Ticiana L. Coelho da Silva, José Antonio F. de Macedo
http://arxiv.org/abs/2105.12092v1
• [cs.AI]Transfer Learning and Curriculum Learning in Sokoban
Zhao Yang, Mike Preuss, Aske Plaat
http://arxiv.org/abs/2105.11702v1
• [cs.AI]Uncertainty-Aware Signal Temporal logic
Nasim Baharisangari, Jean-Raphaël Gaglione, Daniel Neider, Ufuk Topcu, Zhe Xu
http://arxiv.org/abs/2105.11545v1
• [cs.CL]A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions
Yunshi Lan, Gaole He, Jinhao Jiang, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen
http://arxiv.org/abs/2105.11644v1
• [cs.CL]Argument Undermining: Counter-Argument Generation by Attacking Weak Premises
Milad Alshomary, Shahbaz Syed, Martin Potthast, Henning Wachsmuth
http://arxiv.org/abs/2105.11752v1
• [cs.CL]BASS: Boosting Abstractive Summarization with Unified Semantic Graph
Wenhao Wu, Wei Li, Xinyan Xiao, Jiachen Liu, Ziqiang Cao, Sujian Li, Hua Wu, Haifeng Wang
http://arxiv.org/abs/2105.12041v1
• [cs.CL]ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer
Yuanmeng Yan, Rumei Li, Sirui Wang, Fuzheng Zhang, Wei Wu, Weiran Xu
http://arxiv.org/abs/2105.11741v1
• [cs.CL]Dynamic Semantic Graph Construction and Reasoning for Explainable Multi-hop Science Question Answering
Weiwen Xu, Huihui Zhang, Deng Cai, Wai Lam
http://arxiv.org/abs/2105.11776v1
• [cs.CL]Empirical Error Modeling Improves Robustness of Noisy Neural Sequence Labeling
Marcin Namysl, Sven Behnke, Joachim Köhler
http://arxiv.org/abs/2105.11872v1
• [cs.CL]Estimating Redundancy in Clinical Text
Thomas Searle, Zina Ibrahim, James Teo, Richard JB Dobson
http://arxiv.org/abs/2105.11832v1
• [cs.CL]Extending rational models of communication from beliefs to actions
Theodore R. Sumers, Robert D. Hawkins, Mark K. Ho, Thomas L. Griffiths
http://arxiv.org/abs/2105.11950v1
• [cs.CL]Extending the Abstraction of Personality Types based on MBTI with Machine Learning and Natural Language Processing
Carlos Basto
http://arxiv.org/abs/2105.11798v1
• [cs.CL]Focus Attention: Promoting Faithfulness and Diversity in Summarization
Rahul Aralikatte, Shashi Narayan, Joshua Maynez, Sascha Rothe, Ryan McDonald
http://arxiv.org/abs/2105.11921v1
• [cs.CL]Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting
Yi Cheng, Siyao Li, Bang Liu, Ruihui Zhao, Sujian Li, Chenghua Lin, Yefeng Zheng
http://arxiv.org/abs/2105.11698v1
• [cs.CL]Look inside. Predicting stock prices by analysing an enterprise intranet social network and using word co-occurrence networks
A. Fronzetti Colladon, G. Scettri
http://arxiv.org/abs/2105.11780v1
• [cs.CL]Multi-Task Learning of Generation and Classification for Emotion-Aware Dialogue Response Generation
Tatsuya Ide, Daisuke Kawahara
http://arxiv.org/abs/2105.11696v1
• [cs.CL]NEUer at SemEval-2021 Task 4: Complete Summary Representation by Filling Answers into Question for Matching Reading Comprehension
Zhixiang Chen, Yikun Lei, Pai Liu, Guibing Guo
http://arxiv.org/abs/2105.12051v1
• [cs.CL]TR-BERT: Dynamic Token Reduction for Accelerating BERT Inference
Deming Ye, Yankai Lin, Yufei Huang, Maosong Sun
http://arxiv.org/abs/2105.11618v1
• [cs.CL]The advent and fall of a vocabulary learning bias from communicative efficiency
David Carrera-Casado, Ramon Ferrer-i-Cancho
http://arxiv.org/abs/2105.11519v1
• [cs.CL]ViBERTgrid: A Jointly Trained Multi-Modal 2D Document Representation for Key Information Extraction from Documents
Weihong Lin, Qifang Gao, Lei Sun, Zhuoyao Zhong, Kai Hu, Qin Ren, Qiang Huo
http://arxiv.org/abs/2105.11672v1
• [cs.CR]‘They’re all about pushing the products and shiny things rather than fundamental security’ Mapping Socio-technical Challenges in Securing the Smart Home
Jiahong Chen, Lachlan Urquhart
http://arxiv.org/abs/2105.11751v1
• [cs.CR]Narwhal and Tusk: A DAG-based Mempool and Efficient BFT Consensus
George Danezis, Eleftherios Kokoris Kogias, Alberto Sonnino, Alexander Spiegelman
http://arxiv.org/abs/2105.11827v1
• [cs.CR]OFEI: A Semi-black-box Android Adversarial Sample Attack Framework Against DLaaS
Guangquan Xu, GuoHua Xin, Litao Jiao, Jian Liu, Shaoying Liu, Meiqi Feng, Xi Zheng
http://arxiv.org/abs/2105.11593v1
• [cs.CR]Security in Next Generation Mobile Payment Systems: A Comprehensive Survey
Waqas Ahmed, Amir Rasool, Jamel Nebhen, Neeraj Kumar, Faisal Shahzad, Abdul RehmanJaved, Thippa Reddy Gadekallu, Zunera Jalil
http://arxiv.org/abs/1000
s/2105.12097v1
s/2105.12097v1)
• [cs.CV]3D-Aware Ellipse Prediction for Object-Based Camera Pose Estimation
Matthieu Zins, Gilles Simon, Marie-Odile Berger
http://arxiv.org/abs/2105.11494v1
• [cs.CV]A Geometry-Informed Deep Learning Framework for Ultra-Sparse 3D Tomographic Image Reconstruction
Liyue Shen, Wei Zhao, Dante Capaldi, John Pauly, Lei Xing
http://arxiv.org/abs/2105.11692v1
• [cs.CV]BoundarySqueeze: Image Segmentation as Boundary Squeezing
Hao He, Xiangtai Li, Kuiyuan Yang, Guangliang Cheng, Jianping Shi, Yunhai Tong, Zhengjun Zha, Lubin Weng
http://arxiv.org/abs/2105.11668v1
• [cs.CV]Centimeter-Wave Free-Space Time-of-Flight Imaging
Seung-Hwan Baek, Noah Walsh, Ilya Chugunov, Zheng Shi, Felix Heide
http://arxiv.org/abs/2105.11606v1
• [cs.CV]DSANet: Dynamic Segment Aggregation Network for Video-Level Representation Learning
Wenhao Wu, Yuxiang Zhao, Yanwu Xu, Xiao Tan, Dongliang He, Zhikang Zou, Jin Ye, Yingying Li, Mingde Yao, Zichao Dong, Yifeng Shi
http://arxiv.org/abs/2105.12085v1
• [cs.CV]DTNN: Energy-efficient Inference with Dendrite Tree Inspired Neural Networks for Edge Vision Applications
Tao Luo, Wai Teng Tang, Matthew Kay Fei Lee, Chuping Qu, Weng-Fai Wong, Rick Goh
http://arxiv.org/abs/2105.11848v1
• [cs.CV]Deep High-Resolution Representation Learning for Cross-Resolution Person Re-identification
Guoqing Zhang, Yu Ge, Zhicheng Dong, Hao Wang, Yuhui Zheng, Shengyong Chen
http://arxiv.org/abs/2105.11722v1
• [cs.CV]Dynamic Dual Sampling Module for Fine-Grained Semantic Segmentation
Chen Shi, Xiangtai Li, Yanran Wu, Yunhai Tong, Yi Xu
http://arxiv.org/abs/2105.11657v1
• [cs.CV]Elastic Shape Analysis of Brain Structures for Predictive Modeling of PTSD
Yuexuan Wu, Suprateek Kundu, Jennifer S. Stevens, Negar Fani, Anuj Srivastava
http://arxiv.org/abs/2105.11547v1
• [cs.CV]Emotion Recognition in Horses with Convolutional Neural Networks
Luis A. Corujo, Peter A. Gloor, Emily Kieson
http://arxiv.org/abs/2105.11953v1
• [cs.CV]Estimates of maize plant density from UAV RGB images using Faster-RCNN detection model: impact of the spatial resolution
Kaaviya Velumani, Raul Lopez-Lozano, Simon Madec, Wei Guo, Joss Gillet, Alexis Comar, Frederic Baret
http://arxiv.org/abs/2105.11857v1
• [cs.CV]FILTRA: Rethinking Steerable CNN by Filter Transform
Bo Li, Qili Wang, Gim Hee Lee
http://arxiv.org/abs/2105.11636v1
• [cs.CV]Fast and Accurate Scene Parsing via Bi-direction Alignment Networks
Yanran Wu, Xiangtai Li, Chen Shi, Yunhai Tong, Yang Hua, Tao Song, Ruhui Ma, Haibing Guan
http://arxiv.org/abs/2105.11651v1
• [cs.CV]Feature Space Targeted Attacks by Statistic Alignment
Lianli Gao, Yaya Cheng, Qilong Zhang, Xing Xu, Jingkuan Song
http://arxiv.org/abs/2105.11645v1
• [cs.CV]Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images
Wentao Chen, Chenyang Si, Wei Wang, Liang Wang, Zilei Wang, Tieniu Tan
http://arxiv.org/abs/2105.11874v1
• [cs.CV]GAN for Vision, KG for Relation: a Two-stage Deep Network for Zero-shot Action Recognition
Bin Sun, Dehui Kong, Shaofan Wang, Jinghua Li, Baocai Yin, Xiaonan Luo
http://arxiv.org/abs/2105.11789v1
• [cs.CV]High-Frequency aware Perceptual Image Enhancement
Hyungmin Roh, Myungjoo Kang
http://arxiv.org/abs/2105.11711v1
• [cs.CV]Human-centric Relation Segmentation: Dataset and Solution
Si Liu, Zitian Wang, Yulu Gao, Lejian Ren, Yue Liao, Guanghui Ren, Bo Li, Shuicheng Yan
http://arxiv.org/abs/2105.11168v2
• [cs.CV]Hyperspectral Image Denoising with Log-Based Robust PCA
Yang Liu, Qian Zhang, Yongyong Chen, Qiang Cheng, Chong Peng
http://arxiv.org/abs/2105.11927v1
• [cs.CV]Improving Few-shot Learning with Weakly-supervised Object Localization
Inyong Koo, Minki Jeong, Changick Kim
http://arxiv.org/abs/2105.11715v1
• [cs.CV]Learning Better Visual Dialog Agents with Pretrained Visual-Linguistic Representation
Tao Tu, Qing Ping, Govind Thattai, Gokhan Tur, Prem Natarajan
http://arxiv.org/abs/2105.11541v1
• [cs.CV]Multi-view 3D Reconstruction of a Texture-less Smooth Surface of Unknown Generic Reflectance
Ziang Cheng, Hongdong Li, Yuta Asano, Yinqiang Zheng, Imari Sato
http://arxiv.org/abs/2105.11599v1
• [cs.CV]Out-of-Distribution Detection in Dermatology using Input Perturbation and Subset Scanning
Hannah Kim, Girmaw Abebe Tadesse, Celia Cintas, Skyler Speakman, Kush Varshney
http://arxiv.org/abs/2105.11160v2
• [cs.CV]PAS-MEF: Multi-exposure image fusion based on principal component analysis, adaptive well-exposedness and saliency map
Diclehan Karakaya, Oguzhan Ulucan, Mehmet Turkan
http://arxiv.org/abs/2105.11809v1
• [cs.CV]Pan-sharpening via High-pass Modification Convolutional Neural Network
Jiaming Wang, Zhenfeng Shao, Xiao Huang, Tao Lu, Ruiqian Zhang, Jiayi Ma
http://arxiv.org/abs/2105.11576v1
• [cs.CV]Polarimetric Spatio-Temporal Light Transport Probing
Seung-Hwan Baek, Felix Heide
http://arxiv.org/abs/2105.11609v1
• [cs.CV]Real-time Monocular Depth Estimation with Sparse Supervision on Mobile
Mehmet Kerim Yucel, Valia Dimaridou, Anastasios Drosou, Albert Saà-Garriga
http://arxiv.org/abs/2105.12053v1
• [cs.CV]Review on Indoor RGB-D Semantic Segmentation with Deep Convolutional Neural Networks
Sami Barchid, José Mennesson, Chaabane Djéraba
http://arxiv.org/abs/2105.11925v1
• [cs.CV]SBEVNet: End-to-End Deep Stereo Layout Estimation
Divam Gupta, Wei Pu, Trenton Tabor, Jeff Schneider
http://arxiv.org/abs/2105.11705v1
• [cs.CV]SHD360: A Benchmark Dataset for Salient Human Detection in 360° Videos
Yi Zhang, Lu Zhang, Jing Zhang, Kang Wang, Wassim Hamidouche, Olivier Deforges
http://arxiv.org/abs/2105.11578v1
• [cs.CV]SRH-Net: Stacked Recurrent Hourglass Network for Stereo Matching
Hongzhi Du, Yanyan Li, Yanbiao Sun, Jigui Zhu, Federico Tombari
http://arxiv.org/abs/2105.11587v1
• [cs.CV]ST-HOI: A Spatial-Temporal Baseline for Human-Object Interaction Detection in Videos
Meng-Jiun Chiou, Chun-Yu Liao, Li-Wei Wang, Roger Zimmermann, Jiashi Feng
http://arxiv.org/abs/2105.11731v1
• [cs.CV]SiamMOT: Siamese Multi-Object Tracking
Bing Shuai, Andrew Berneshawi, Xinyu Li, Davide Modolo, Joseph Tighe
http://arxiv.org/abs/2105.11595v1
• [cs.CV]Small and large scale critical infrastructures detection based on deep learning using high resolution orthogonal images
Pérez-Hernández Francisco, Rodríguez-Ortega José, Benhammou Yassir, Herrera Francisco, Tabik Siham
http://arxiv.org/abs/2105.11844v1
• [cs.CV]TIPCB: A Simple but Effective Part-based Convolutional Baseline for Text-based Person Search
Yuhao Chen, Guoqing Zhang, Yujiang Lu, Zhenxing Wang, Yuhui Zheng, Ruili Wang
http://arxiv.org/abs/2105.11628v1
• [cs.CV]TRACE: A Differentiable Approach to Line-level Stroke Recovery for Offline Handwritten Text
Taylor Archibald, Mason Poggemann, Aaron Chan, Tony Martinez
http://arxiv.org/abs/2105.11559v1
• [cs.CV]Tab.IAIS: Flexible Table Recognition and Semantic Interpretation System
Marcin Namysl, Alexander M. Esser, Sven Behnke, Joachim Köhler
http://arxiv.org/abs/2105.11879v1
• [cs.CV]Temporal Action Proposal Generation with Transformers
Lining Wang, Haosen Yang, Wenhao Wu, Hongxun Yao, Hujie Huang
http://arxiv.org/abs/2105.12043v1
• [cs.CV]Towards Compact Single Image Super-Resolution via Contrastive Self-distillation
Yanbo Wang, Shaohui Lin, Yanyun Qu, Haiyan Wu, Zhizhong Zhang, Yuan Xie, Angela Yao
http://arxiv.org/abs/2105.11683v1
• [cs.CV]Towards Unpaired Depth Enhancement and Super-Resolution in the Wild
Aleksandr Safin, Maxim Kan, Nikita Drobyshev, Oleg Voynov, Alexey Artemov, Alexander Filippov, Denis Zorin, Evgeny Burnaev
http://arxiv.org/abs/2105.12038v1
• [cs.CV]TransLoc3D : Point Cloud based Large-scale Place Recognition using Adaptive Receptive Fields
Tian-Xing Xu, Yuan-Chen Guo, Yu-Kun Lai, Song-Hai Zhang
http://arxiv.org/abs/2105.11605v1
• [cs.CV]TransNAS-Bench-101: Improving Transferability and Generalizability of Cross-Task Neural Architecture Search
Yawen Duan, Xin Chen, Hang Xu, Zewei Chen, Xiaodan Liang, Tong Zhang, Zhenguo Li
http://arxiv.org/abs/2105.11871v1
• [cs.CV]Understanding Mobile GUI: from Pixel-Words to Screen-Sentences
Jingwen Fu, Xiaoyi Zhang, Yuwang Wang, Wenjun Zeng, Sam Yang, Grayson Hilliard
http://arxiv.org/abs/2105.11941v1
• [cs.CV]Unsupervised Scale-consistent Depth Learning from Video
Jia-Wang Bian, Huangying Zhan, Naiyan Wang, Zhichao Li, Le Zhang, Chunhua Shen, Ming-Ming Cheng, Ian Reid
http://arxiv.org/abs/2105.11610v1
• [cs.CV]Unsupervised Visual Representation Learning by Online Constrained K-Means
Qi Qian, Yuanhong Xu, Juhua Hu, Hao Li, Rong Jin
http://arxiv.org/abs/2105.11527v1
• [cs.CV]VISITRON: Visual Semantics-Aligned Interactively Trained Object-Navigator
Ayush Shrivastava, Karthik Gopalakrishnan, Yang Liu, Robinson Piramuthu, Gokhan Tür, Devi Parikh, Dilek Hakkani-Tür
http://arxiv.org/abs/2105.11589v1
• [cs.CY]Finance 4.0: Design principles for a value-sensitive cryptoecnomic system to address sustainability
Mark C. Ballandies, Marcus M. Dapp, Benjamin A. Degenhart, Dirk Helbing
http://arxiv.org/abs/2105.11955v1
• [cs.CY]Throughput-Fairness Tradeoffs in Mobility Platforms
Arjun Balasingam, Karthik Gopalakrishnan, Radhika Mittal, Venkat Arun, Ahmed Saeed, Mohammad Alizadeh, Hamsa Balakrishnan, Hari Balakrishnan
http://arxiv.org/abs/2105.11999v1
• [cs.DC]A Holistic View on Resource Management in Serverless Computing Environments: Taxonomy, and Future Directions
Anupama Mampage, Shanika Karunasekera, Rajkumar Buyya
http://arxiv.org/abs/2105.11592v1
• [cs.DC]A linear parallel algorithm to compute bisimulation and relational coarsest partitions
Jan Martens, Jan Friso Groote, Lars van den Haak, Pieter Hijma, Anton Wijs
http://arxiv.org/abs/2105.11788v1
• [cs.DC]Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads
John Thorpe, Yifan Qiao, Jonathan Eyolfson, Shen Teng, Guanzhou Hu, Zhihao Jia, Jinliang Wei, Keval Vora, Ravi Netravali, Miryung Kim, Guoqing Harry Xu
http://arxiv.org/abs/2105.11118v2
• [cs.DC]Efficient Assignment of Identities in Anonymous Populations
Leszek Gasieniec, Jesper Jansson, Christos Levcopoulos, Andrzej Lingas
http://arxiv.org/abs/2105.12083v1
• [cs.DC]Execution of NVRAM Programs with Persistent Stack
Vitaly Aksenov, Ohad Ben-Baruch, Danny Hendler, Ilya Kokorin, Matan Rusanovsky
http://arxiv.org/abs/2105.11932v1
• [cs.DC]Payment Does Not Imply Consensus (For Distributed Payment Systems)
Thomas Orton
http://arxiv.org/abs/2105.11821v1
• [cs.DC]Providing Meaningful Data Summarizations Using Examplar-based Clustering in Industry 4.0
Philipp-Jan Honysz, Alexander Schulze-Struchtrup, Sebastian Buschjäger, Katharina Morik
http://arxiv.org/abs/2105.12026v1
• [cs.DC]The Component Diagnosability of General Networks
Hongbin Zhuang, Wenzhong Guo, Xiaoyan Li, Ximeng Liu, Cheng-Kuan Lin
http://arxiv.org/abs/2105.11895v1
• [cs.DC]The Topology of Randomized Symmetry-Breaking Distributed Computing
Pierre Fraigniaud, Ran Gelles, Zvi Lotker
http://arxiv.org/abs/2105.11713v1
• [cs.DC]Transmission Failure Analysis of Multi-Protection Routing in Data Center Networks with Heterogeneous Edge-Core Servers
Xiao-Yan Li, Wanling Lin, Jou-Ming Chang, Xiaohua Jia
http://arxiv.org/abs/2105.11491v1
• [cs.HC]Immersive virtual reality methods in cognitive neuroscience and neuropsychology: Meeting the criteria of the National Academy of Neuropsychology and American Academy of Clinical Neuropsychology
Panagiotis Kourtesis, Sarah E. MacPherson
http://arxiv.org/abs/2105.11909v1
• [cs.IR]Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation
Xiao Luo, Daqing Wu, Chong Chen, Jinwen Ma, Minghua Deng, Chen Shen, Jianqiang Huang, Xian-Sheng Hua
http://arxiv.org/abs/2105.11876v1
• [cs.IR]Hybrid Movie Recommender System based on Resource Allocation
Mostafa Khalaji, Chitra Dadkhah, Joobin Gharibshah
http://arxiv.org/abs/2105.11678v1
• [cs.IR]Personalized Transformer for Explainable Recommendation
Lei Li, Yongfeng Zhang, Li Chen
http://arxiv.org/abs/2105.11601v1
• [cs.IR]Predicting Links on Wikipedia with Anchor Text Information
Robin Brochier, Frédéric Béchet
http://arxiv.org/abs/2105.11734v1
• [cs.IT]Application of Opportunistic Bit to Multilevel Codes
Bingli Jiao, Mingxi Yin, Yuli Yang
http://arxiv.org/abs/2105.11273v2
• [cs.IT]Centralized Learning of the Distributed Downlink Channel Estimators in FDD Systems using Uplink Data
B. Fesl, N. Turan, M. Koller, M. Joham, W. Utschick
233
http://arxiv.org/abs/2105.10746v2
• [cs.IT]Discrete MMSE Precoding for Multiuser MIMO Systems with PSK Modulation
Erico S. P. Lopes, Lukas T. N. Landau
http://arxiv.org/abs/2105.11555v1
• [cs.IT]Improving THz Coverage for 6G URLLC Services via Exploiting Mobile Computing
Sha Xie, Lingxiang Li, Zhi Chen, Shaoqian Li
http://arxiv.org/abs/2105.11834v1
• [cs.IT]NPD Entropy: A Non-Parametric Differential Entropy Rate Estimator
Andrew Feutrill, Matthew Roughan
http://arxiv.org/abs/2105.11580v1
• [cs.IT]On learning parametric distributions from quantized samples
Septimia Sarbu, Abdellatif Zaidi
http://arxiv.org/abs/2105.12019v1
• [cs.IT]Pruned Collapsed Projection-Aggregation Decoding of Reed-Muller Codes
Qin Huang, Bin Zhang
http://arxiv.org/abs/2105.11878v1
• [cs.IT]Resource Allocation for Massive MIMO HetNets with Quantize-Forward Relaying
Ahmad Abu Al Haija, Min Dong, Ben Liang, Gary Boudreau
http://arxiv.org/abs/2105.11581v1
• [cs.IT]Security Analysis in Multicasting over Shadowed Rician and α-μ Fading Channels: A Dual-hop Hybrid Satellite Terrestrial Relaying Network
Abida Sultana Sumona, Milton Kumar Kundu, A. S. M. Badrudduza
http://arxiv.org/abs/2105.12071v1
• [cs.LG]A Comparison of Reward Functions in Q-Learning Applied to a Cart Position Problem
Amartya Mukherjee
http://arxiv.org/abs/2105.11617v1
• [cs.LG]A Generalised Inverse Reinforcement Learning Framework
Firas Jarboui, Vianney Perchet
http://arxiv.org/abs/2105.11812v1
• [cs.LG]A unified framework based on graph consensus term for multi-view learning
Xiangzhu Meng, Lin Feng, Chonghui Guo
http://arxiv.org/abs/2105.11781v1
• [cs.LG]AdaGCN:Adaptive Boosting Algorithm for Graph Convolutional Networks on Imbalanced Node Classification
S. Shi, Kai Qiao, Shuai Yang, L. Wang, J. Chen, Bin Yan
http://arxiv.org/abs/2105.11625v1
• [cs.LG]Adaptive Local Kernels Formulation of Mutual Information with Application to Active Post-Seismic Building Damage Inference
Mohamadreza Sheibani, Ge Ou
http://arxiv.org/abs/2105.11492v1
• [cs.LG]An Upper Limit of Decaying Rate with Respect to Frequency in Deep Neural Network
Tao Luo, Zheng Ma, Zhiwei Wang, Zhi-Qin John Xu, Yaoyu Zhang
http://arxiv.org/abs/2105.11675v1
• [cs.LG]Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query Shift
Etienne Bennequin, Victor Bouvier, Myriam Tami, Antoine Toubhans, Céline Hudelot
http://arxiv.org/abs/2105.11804v1
• [cs.LG]Calibration and Uncertainty Quantification of Bayesian Convolutional Neural Networks for Geophysical Applications
Lukas Mosser, Ehsan Zabihi Naeini
http://arxiv.org/abs/2105.12115v1
• [cs.LG]Deep Descriptive Clustering
Hongjing Zhang, Ian Davidson
http://arxiv.org/abs/2105.11549v1
• [cs.LG]Deep Neural Networks and End-to-End Learning for Audio Compression
Daniela N. Rim, Inseon Jang, Heeyoul Choi
http://arxiv.org/abs/2105.11681v1
• [cs.LG]DiBS: Differentiable Bayesian Structure Learning
Lars Lorch, Jonas Rothfuss, Bernhard Schölkopf, Andreas Krause
http://arxiv.org/abs/2105.11839v1
• [cs.LG]Exploring Autoencoder-Based Error-Bounded Compression for Scientific Data
Jinyang Liu, Sheng Di, Kai Zhao, Sian Jin, Dingwen Tao, Xi
554c
n Liang, Zizhong Chen, Franck Cappello
http://arxiv.org/abs/2105.11730v1
• [cs.LG]FNAS: Uncertainty-Aware Fast Neural Architecture Search
Jihao Liu, Ming Zhang, Yangting Sun, Boxiao Liu, Guanglu Song, Yu Liu, Hongsheng Li
http://arxiv.org/abs/2105.11694v1
• [cs.LG]GCNBoost: Artwork Classification by Label Propagation through a Knowledge Graph
Cheikh Brahim El Vaigh, Noa Garcia, Benjamin Renoust, Chenhui Chu, Yuta Nakashima, Hajime Nagahara
http://arxiv.org/abs/2105.11852v1
• [cs.LG]GraphFM: Graph Factorization Machines for Feature Interaction Modeling
Zekun Li, Shu Wu, Zeyu Cui, Xiaoyu Zhang
http://arxiv.org/abs/2105.11866v1
• [cs.LG]HIN-RNN: A Graph Representation Learning Neural Network for Fraudster Group Detection With No Handcrafted Features
Saeedreza Shehnepoor, Roberto Togneri, Wei Liu, Mohammed Bennamoun
http://arxiv.org/abs/2105.11602v1
• [cs.LG]Hierarchical Subspace Learning for Dimensionality Reduction to Improve Classification Accuracy in Large Data Sets
Parisa Abdolrahim Poorheravi, Vincent Gaudet
http://arxiv.org/abs/2105.12005v1
• [cs.LG]Honest-but-Curious Nets: Sensitive Attributes of Private Inputs can be Secretly Coded into the Entropy of Classifiers’ Outputs
Mohammad Malekzadeh, Anastasia Borovykh, Deniz Gündüz
http://arxiv.org/abs/2105.12049v1
• [cs.LG]Hyperparameter Selection for Imitation Learning
Leonard Hussenot, Marcin Andrychowicz, Damien Vincent, Robert Dadashi, Anton Raichuk, Lukasz Stafiniak, Sertan Girgin, Raphael Marinier, Nikola Momchev, Sabela Ramos, Manu Orsini, Olivier Bachem, Matthieu Geist, Olivier Pietquin
http://arxiv.org/abs/2105.12034v1
• [cs.LG]Improving Machine Learning-Based Modeling of Semiconductor Devices by Data Self-Augmentation
Zeheng Wang, Liang Li, Ross C. C. Leon, Arne Laucht
http://arxiv.org/abs/2105.11453v1
• [cs.LG]Intrusion Detection System in Smart Home Network Using Bidirectional LSTM and Convolutional Neural Networks Hybrid Model
Nelly Elsayed, Zaghloul Saad Zaghloul, Sylvia Worlali Azumah, Chengcheng Li
http://arxiv.org/abs/2105.12096v1
• [cs.LG]Investigating Manifold Neighborhood size for Nonlinear Analysis of LIBS Amino Acid Spectra
Piyush K. Sharma, Gary Holness, Poopalasingam Sivakumar, Yuri Markushin, Noureddine Melikechi
http://arxiv.org/abs/2105.12089v1
• [cs.LG]LENs: a Python library for Logic Explained Networks
Pietro Barbiero, Gabriele Ciravegna, Dobrik Georgiev, Franscesco Giannini
http://arxiv.org/abs/2105.11697v1
• [cs.LG]Learning Generative Prior with Latent Space Sparsity Constraints
Vinayak Killedar, Praveen Kumar Pokala, Chandra Sekhar Seelamantula
http://arxiv.org/abs/2105.11956v1
• [cs.LG]Matching Targets Across Domains with RADON, the Re-Identification Across Domain Network
Cassandra Burgess, Cordelia Neisinger, Rafael Dinner
http://arxiv.org/abs/2105.12056v1
• [cs.LG]Mixture of ELM based experts with trainable gating network
Laleh Armi, Elham Abbasi, Jamal Zarepour-Ahmadabadi
http://arxiv.org/abs/2105.11706v1
• [cs.LG]Near-optimal Offline and Streaming Algorithms for Learning Non-Linear Dynamical Systems
Prateek Jain, Suhas S Kowshik, Dheeraj Nagaraj, Praneeth Netrapalli
http://arxiv.org/abs/2105.11558v1
• [cs.LG]Optimal Sampling Density for Nonparametric Regression
Danny Panknin, Shinichi Nakajima, Klaus Robert Müller
http://arxiv.org/abs/2105.11990v1
• [cs.LG]Public Transportation Demand Analysis: A Case Study of Metropolitan Lagos
Ozioma Paul, Patrick McSharry
http://arxiv.org/abs/2105.11816v1
• [cs.LG]Reproducibility Companion Paper: Knowledge Enhanced Neural Fashion Trend Forecasting
Yunshan Ma, Yujuan Ding, Xun Yang, Lizi Liao, Wai Keung Wong, Tat-Seng Chua, Jinyoung Moon, Hong-Han Shuai
http://arxiv.org/abs/2105.11826v1
• [cs.LG]Robust Fairness-aware Learning Under Sample Selection Bias
Wei Du, Xintao Wu
http://arxiv.org/abs/2105.11570v1
• [cs.LG]Robust Principal Component Analysis Using a Novel Kernel Related with the L1-Norm
Hongyi Pan, Diaa Badawi, Erdem Koyuncu, A. Enis Cetin
http://arxiv.org/abs/2105.11634v1
• [cs.LG]Safe Model-based Off-policy Reinforcement Learning for Eco-Driving in Connected and Automated Hybrid Electric Vehicles
Zhaoxuan Zhu, Nicola Pivaro, Shobhit Gupta, Abhishek Gupta, Marcello Canova
http://arxiv.org/abs/2105.11640v1
• [cs.LG]Scaling Hierarchical Agglomerative Clustering to Billion-sized Datasets
Baris Sumengen, Anand Rajagopalan, Gui Citovsky, David Simcha, Olivier Bachem, Pradipta Mitra, Sam Blasiak, Mason Liang, Sanjiv Kumar
http://arxiv.org/abs/2105.11653v1
• [cs.LG]Self-Supervised Graph Representation Learning via Topology Transformations
Xiang Gao, Wei Hu, Guo-Jun Qi
http://arxiv.org/abs/2105.11689v1
• [cs.LG]Semi-supervised learning of images with strong rotational disorder: assembling nanoparticle libraries
Maxim Ziatdinov, Muammer Yusuf Yaman, Yongtao Liu, David Ginger, Sergei V. Kalinin
http://arxiv.org/abs/2105.11475v1
• [cs.LG]Structured Convolutional Kernel Networks for Airline Crew Scheduling
Yassine Yaakoubi, François Soumis, Simon Lacoste-Julien
http://arxiv.org/abs/2105.11646v1
• [cs.LG]Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization
Chen Liang, Simiao Zuo, Minshuo Chen, Haoming Jiang, Xiaodong Liu, Pengcheng He, Tuo Zhao, Weizhu Chen
http://arxiv.org/abs/2105.12002v1
• [cs.LG]Taxonomy of academic plagiarism methods
Tedo Vrbanec, Ana Mestrovic
http://arxiv.org/abs/2105.12068v1
• [cs.LG]The Perturbed Prox-Preconditioned SPIDER algorithm for EM-based large scale learning
Gersende Fort, Eric Moulines
http://arxiv.org/abs/2105.11732v1
• [cs.LG]There is no data like more data — current status of machine learning datasets in remote sensing
Michael Schmitt, Seyed Ali Ahmadi, Ronny Hänsch
http://arxiv.org/abs/2105.11726v1
• [cs.LG]Towards Scalable Verification of RL-Driven Systems
Guy Amir, Michael Schapira, Guy Katz
http://arxiv.org/abs/2105.11931v1
• [cs.LG]Towards Teachable Autonomous Agents
Olivier Sigaud, Hugo Caselles-Dupré, Cédric Colas, Ahmed Akakzia, Pierre-Yves Oudeyer, Mohamed Chetouani
http://arxiv.org/abs/2105.11977v1
• [cs.LG]Towards Understanding the Condensation of Two-layer Neural Networks at Initial Training
Zhi-Qin John Xu, Hanxu Zhou, Tao Luo, Yaoyu Zhang
http://arxiv.org/abs/2105.11686v1
• [cs.LG]Unbiased Asymmetric Actor-Critic for Partially Observable Reinforcement Learning
Andrea Baisero, Christopher Amato
http://arxiv.org/abs/2105.11674v1
• [cs.LG]Utterance partitioning for speaker recognition: an experimental review and analysis with new findings under GMM-SVM framework
Nirmalya Sen, Md Sahidullah, Hemant Patil, Shyamal Kumar das Mandal, Sreenivasa Krothapalli Rao, Tapan Kumar Basu
http://arxiv.org/abs/2105.11728v1
• [cs.NE]Deep neural network enabled corrective source term approach to hybrid analysis and modeling
Sindre Stenen Blakseth, Adil Rasheed, Trond Kvamsdal, Omer San
http://arxiv.org/abs/2105.11521v1
• [cs.NE]Evolutionary Algorithms for Designing Reversible Cellular Automata
Luca Mariot, Stjepan Picek, Domagoj Jakobovic, Alberto Leporati
http://arxiv.org/abs/2105.12039v1
• [cs.NE]On the Genotype Compression and Expansion for Evolutionary Algorithms in the Continuous Domain
Lucija Planinic, Marko Djurasevic, Luca Mariot, Domagoj Jakobovic, Stjepan Picek, Carlos Coello Coello
http://arxiv.org/abs/2105.11502v1
• [cs.NE]Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks
Jianhao Ding, Zhaofei Yu, Yonghong Tian, Tiejun Huang
http://arxiv.org/abs/2105.11654v1
• [cs.NI]FENXI: Deep-learning Traffic Analytics at the Edge
Massimo Gallo, Alessandro Finamore, Gwendal Simon, Dario Rossi
http://arxiv.org/abs/2105.11738v1
• [cs.RO]A Closed-Loop Linear Covariance Framework for Vehicle Path Planning in an Uncertain Obstacle Field
Randall Christensen, Greg Droge, Robert Leishman
http://arxiv.org/abs/2105.11998v1
• [cs.RO]Affine Transport for Sim-to-Real Domain Adaptation
Anton Mallasto, Karol Arndt, Markus Heinonen, Samuel Kaski, Ville Kyrki
http://arxiv.org/abs/2105.11739v1
• [cs.RO]An Integrated Dynamic Method for Allocating Roles and Planning Tasks for Mixed Human-Robot Teams
Fabio Fusaro, Edoardo Lamon, Elena De Momi, Arash Ajoudani
http://arxiv.org/abs/2105.12031v1
• [cs.RO]Avoiding Dense and Dynamic Obstacles in Enclosed Spaces: Application to Moving in a Simulated Crowd
Lukas Huber, Jean-Jacques, Slotine Aude Billard
http://arxiv.org/abs/2105.11743v1
• [cs.RO]Characterizing Multidimensional Capacitive Servoing for Physical Human-Robot Interaction
Zackory Erickson, Henry M. Clever, Vamsee Gangaram, Eliot Xing, Greg Turk, C. Karen Liu, Charles C. Kemp
http://arxiv.org/abs/2105.11582v1
• [cs.RO]Empirical Investigation of Factors that Influence Human Presence and Agency in Telepresence Robot
Nungduk Yun, Seiji Yamada
http://arxiv.org/abs/2105.11767v1
• [cs.RO]Feature Space Exploration For Planning Initial Benthic AUV Surveys
Jackson Shields, Oscar Pizarro, Stefan B. Williams
http://arxiv.org/abs/2105.11598v1
• [cs.RO]Grasp Planning for Flexible Production with Small Lot Sizes based on CAD models using GPIS and Bayesian Optimization
Jianjie Lin, Markus Rickert, Alois Knoll
http://arxiv.org/abs/2105.11510v1
• [cs.RO]Inferring Temporal Logic Properties from Data using Boosted Decision Trees
Erfan Aasi, Cristian Ioan Vasile, Mahroo Bahreinian, Calin Belta
http://arxiv.org/abs/2105.11508v1
• [cs.RO]Lazy Lifelong Planning for Efficient Replanning in Graphs with Expensive Edge Evaluation
Jaein Lim, Siddhartha Srinivasa, Panagiotis Tsiotras
http://arxiv.org/abs/2105.12076v1
• [cs.RO]Learning an Overlap-based Observation Model for 3D LiDAR Localization
Xieyuanli Chen, Thomas Läbe, Lorenzo Nardi, Jens Behley, Cyrill Stachniss
http://arxiv.org/abs/2105.11717v1
• [cs.RO]Model-Dependent Prosthesis Control with Real-Time Force Sensing
Rachel Gehlhar, Je-han Yang, Aaron D. Ames
http://arxiv.org/abs/2105.11561v1
• [cs.RO]On Enhancing Ground Surface Detection from Sparse Lidar Point Cloud
Bo Li
http://arxiv.org/abs/2105.11649v1
• [cs.RO]Simple But Effective Redundant Odometry for Autonomous Vehicles
Andrzej Reinke, Xieyuanli Chen, Cyrill Stachniss
http://arxiv.org/abs/2105.11783v1
• [cs.RO]Team NimbRo’s UGV Solution for Autonomous Wall Building and Fire Fighting at MBZIRC 2020
Christian Lenz, Jan Quenzel, Arul Selvam Periyasamy, Jan Razlaw, Andre Rochow, Malte Splietker, Michael Schreiber, Max Schwarz, Finn Süberkrüb, Sven Behnke
http://arxiv.org/abs/2105.11979v1
• [cs.RO]Theory of Geometric Super-resolution for Haptic Sensor Design
Huanbo Sun, Georg Martius
http://arxiv.org/abs/2105.11914v1
• [cs.RO]Unilateral Ground Contact Force Regulations in Thruster-Assisted Legged Locomotion
Eric Sihite, Pravin Dangol, Alireza Ramezani
http://arxiv.org/abs/2105.12082v1
• [cs.SD]A Modulation Front-End for Music Audio Tagging
Cyrus Vahidi, Charalampos Saitis, György Fazekas
http://arxiv.org/abs/2105.11836v1
• [cs.SD]RNNoise-Ex: Hybrid Speech Enhancement System based on RNN and Spectral Features
Constantine C. Doumanidis, Christina Anagnostou, Evangelia-Sofia Arvaniti, Anthi Papadopoulou
http://arxiv.org/abs/2105.11813v1
• [cs.SD]Spectrum Correction: Acoustic Scene Classification with Mismatched Recording Devices
Michał Kośmider
http://arxiv.org/abs/2105.11856v1
• [cs.SI]A Configuration Model with Triadic Closure
Ruhui Chang, Duan-Shin Lee, Cheng-Shang Chang
http://arxiv.org/abs/2105.11688v1
• [cs.SI]Big data and big values: When companies need to rethink themselves
M. A. Barchiesi, A. Fronzetti Colladon
http://arxiv.org/abs/2105.12048v1
• [cs.SI]Dynamics of Public Opinion Evolution with Asymmetric Cognitive Bias
Yanbing Mao, Naira Hovakimyan, Tarek Abdelzaher
http://arxiv.org/abs/2105.11569v1
• [cs.SI]Graph Neural Network Based VC Investment Success Prediction
Shiwei Lyu, Shuai Ling, Kaihao Guo, Haipeng Zhang, Kunpeng Zhang, Suting Hong, Qing Ke, Jinjie Gu
http://arxiv.org/abs/2105.11537v1
• [cs.SI]The Structure of Toxic Conversations on Twitter
Martin Saveski, Brandon Roy, Deb Roy
http://arxiv.org/abs/2105.11596v1
• [cs.SI]The incel lexicon: Deciphering the emergent cryptolect of a global misogynistic community
Kelly Gothard, David Rushing Dewhurst, Joshua R. Minot, Jane Lydia Adams, Christopher M. Danforth, Peter Sheridan Dodds
http://arxiv.org/abs/2105.12006v1
• [econ.EM]Measuring Financial Advice: aligning client elicited and revealed risk
John R. J. Thompson, Longlong Feng, R. Mark Reesor, Chuck Grace, Adam Metzler
http://arxiv.org/abs/2105.11892v1
• [eess.IV]Adversarial Attack Driven Data Augmentation for Accurate And Robust Medical Image Segmentation
Mst. Tasnim Pervin, Linmi Tao, Aminul Huq, Zuoxiang He, Li Huo
http://arxiv.org/abs/2105.12106v1
• [eess.IV]CoRSAI: A System for Robust Interpretation of CT Scans of COVID-19 Patients Using Deep Learning
Manvel Avetisian, Ilya Burenko, Konstantin Egorov, Vladimir Kokh, Aleksandr Nesterov, Aleksandr Nikolaev, Alexander Ponomarchuk, Elena Sokolova, Alex Tuzhilin, Dmitry Umerenkov
http://arxiv.org/abs/2105.11863v1
• [eess.IV]Deep learning-based bias transfer for overcoming laboratory differences of microscopic images
Ann-Katrin Thebille, Esther Dietrich, Martin Klaus, Lukas Gernhold, Maximilian Lennartz, Christoph Kuppe, Rafael Kramann, Tobias B. Huber, Guido Sauter, Victor G. Puelles, Marina Zimmermann, Stefan Bonn
http://arxiv.org/abs/2105.11765v1
• [eess.IV]Dense Regression Activation Maps For Lesion Segmentation in CT scans of COVID-19 patients
Weiyi Xie, Colin Jacobs, Bram van Ginneken
http://arxiv.org/abs/2105.11748v1
• [eess.IV]Experimenting with Knowledge Distillation techniques for performing Brain Tumor Segmentation
Ashwin Nalwade, Jackie Kisa
http://arxiv.org/abs/2105.11486v1
• [eess.IV]Self-Org
1000
anized Variational Autoencoders (Self-VAE) for Learned Image Compression
M. Akın Yılmaz, Onur Keleş, Hilal Güven, A. Murat Tekalp, Junaid Malik, Serkan Kıranyaz
http://arxiv.org/abs/2105.12107v1
• [eess.IV]Towards Low-Photon Nanoscale Imaging: Holographic Phase Retrieval via Maximum Likelihood Optimization
David A. Barmherzig, Ju Sun
http://arxiv.org/abs/2105.11512v1
• [eess.SP]Detection and blind channel estimation for UAV-aided wireless sensor networks in smart cities under mobile jamming attack
Donatella Darsena, Giacinto Gelli, Ivan Iudice, Francesco Verde
http://arxiv.org/abs/2105.11868v1
• [eess.SP]Model Mismatch Trade-offs in LMMSE Estimation
Martin Hellkvist, Ayça Özçelikkale
http://arxiv.org/abs/2105.11964v1
• [eess.SP]Neural Network Based Sleep Phases Classification for Resource Constraint Environments
Berkay Köprü, Murat Aslan, Alisher Kholmatov
http://arxiv.org/abs/2105.11452v1
• [hep-ph]Towards a method to anticipate dark matter signals with deep learning at the LHC
Ernesto Arganda, Anibal D. Medina, Andres D. Perez, Alejandro Szynkman
http://arxiv.org/abs/2105.12018v1
• [math.NA]Hashing embeddings of optimal dimension, with applications to linear least squares
Coralia Cartis, Jan Fiala, Zhen Shao
http://arxiv.org/abs/2105.11815v1
• [math.NA]Least-Squares ReLU Neural Network (LSNN) Method For Linear Advection-Reaction Equation
Zhiqiang Cai, Jingshuang Chen, Min Liu
http://arxiv.org/abs/2105.11632v1
• [math.NA]Least-Squares ReLU Neural Network (LSNN) Method For Scalar Nonlinear Hyperbolic Conservation Law
Zhiqiang Cai, Jingshuang Chen, Min Liu
http://arxiv.org/abs/2105.11627v1
• [math.OC]Practical Schemes for Finding Near-Stationary Points of Convex Finite-Sums
Kaiwen Zhou, Lai Tian, Anthony Man-Cho So, James Cheng
http://arxiv.org/abs/2105.12062v1
• [math.OC]Principal Component Hierarchy for Sparse Quadratic Programs
Robbie Vreugdenhil, Viet Anh Nguyen, Armin Eftekhari, Peyman Mohajerin Esfahani
http://arxiv.org/abs/2105.12022v1
• [math.OC]Saddle Point Optimization with Approximate Minimization Oracle and its Application to Robust Berthing Control
Youhei Akimoto, Yoshiki Miyauchi, Atsuo Maki
http://arxiv.org/abs/2105.11586v1
• [math.ST]Diffusion Means in Geometric Spaces
Pernille Hansen, Benjamin Eltzner, Stephan F. Huckemann, Stefan Sommer
http://arxiv.org/abs/2105.12061v1
• [math.ST]Estimation of time-varying characteristics of locally stationary functional time series
Daisuke Kurisu
http://arxiv.org/abs/2105.11873v1
• [math.ST]Nonparametric classes for identification in random coefficients models when regressors have limited variation
Christophe Gaillac, Eric Gautier
http://arxiv.org/abs/2105.11720v1
• [math.ST]On robust learning in the canonical change point problem under heavy tailed errors in finite and growing dimensions
Debarghya Mukherjee, Moulinath Banerjee, Ya’acov Ritov
http://arxiv.org/abs/2105.11591v1
• [math.ST]On the Tail Behaviour of Aggregated Random Variables
Jordan Richards, Jonathan A. Tawn
http://arxiv.org/abs/2105.11917v1
• [physics.geo-ph]Connect the Dots: In Situ 4D Seismic Monitoring of CO Storage with Spatio-temporal CNNs
Shihang Feng, Xitong Zhang, Brendt Wohlberg, Neill Symons, Youzuo Lin
http://arxiv.org/abs/2105.11622v1
• [physics.geo-ph]Deep Learning-based Damage Mapping with InSAR Coherence Time Series
Oliver L. Stephenson, Tobias Köhne, Eric Zhan, Brent E. Cahill, Sang-Ho Yun, Zachary E. Ross, Mark Simons
http://arxiv.org/abs/2105.11544v1
• [quant-ph]A Quantum Hopfield Associative Memory Implemented on an Actual Quantum Processor
Nathan Eli Miller, Saibal Mukhopadhyay
http://arxiv.org/abs/2105.11590v1
• [quant-ph]IGO-QNN: Quantum Neural Network Architecture for Inductive Grover Oracularization
Areeq I. Hasan
http://arxiv.org/abs/2105.11603v1
• [quant-ph]Quantum Embedding Search for Quantum Machine Learning
Nam Nguyen, Kwang-Chen Chen
http://arxiv.org/abs/2105.11853v1
• [stat.AP]A statistical model of COVID-19 testing in populations: effects of sampling bias and testing errors
Lucas Böttcher, Maria R. D’Orsogna, Tom Chou
http://arxiv.org/abs/2105.11961v1
• [stat.AP]Conformal Anomaly Detection on Spatio-temporal Observations with Missing Data
Chen Xu, Yao Xie
http://arxiv.org/abs/2105.11886v1
• [stat.AP]Hidden Markov and semi-Markov models: When and why are these models useful to classify states in time series data?
Sofia Ruiz-Suarez, Vianey Leos-Barajas, Juan Manuel Morales
http://arxiv.org/abs/2105.11490v1
• [stat.AP]Ranking earthquake forecasts using proper scoring rules: Binary events in a low probability environment
Francesco Serafini, Mark Naylor, Finn Lindgren, Maximilian Werner, Ian Main
http://arxiv.org/abs/2105.12065v1
• [stat.ME]Efficient Bayesian model selection for coupled hidden Markov models with application to infectious diseases
Jake Carson, Trevelyan J. McKinley, Peter Neal, Simon E. F. Spencer
http://arxiv.org/abs/2105.11807v1
• [stat.ME]Functional Data Analysis with Rough Sampled Paths?
Neda Mohammadi Jouzdani, Victor M. Panaretos
http://arxiv.org/abs/2105.12035v1
• [stat.ME]Group selection and shrinkage with application to sparse semiparametric modeling
Ryan Thompson, Farshid Vahid
http://arxiv.org/abs/2105.12081v1
• [stat.ME]Kernel Knockoffs Selection for Nonparametric Additive Models
Xiaowu Dai, Xiang Lyu, Lexin Li
http://arxiv.org/abs/2105.11659v1
• [stat.ME]Multiple Change Point Detection in Structured VAR Models: the VARDetect R Package
Peiliang Bai, Yue Bai, Abolfazl Safikhani, George Michailidis
http://arxiv.org/abs/2105.11007v2
• [stat.ME]Testing Cross-Validation Variants in Ranking Environments
Balázs R. Sziklai, Máté Baranyi, Károly Héberger
http://arxiv.org/abs/2105.11939v1
• [stat.ML]Bias-Robust Bayesian Optimization via Dueling Bandit
Johannes Kirschner, Andreas Krause
http://arxiv.org/abs/2105.11802v1
• [stat.ML]Model-Constrained Deep Learning Approaches for Inverse Problems
Hai V. Nguyen, Tan Bui-Thanh
http://arxiv.org/abs/2105.12033v1
• [stat.ML]SGD with Coordinate Sampling: Theory and Practice
Rémi Leluc, François Portier
http://arxiv.org/abs/2105.11818v1
• [stat.ML]SHAFF: Fast and consistent SHApley eFfect estimates via random Forests
Clément Bénard, Gérard Biau, Sébastien da Veiga, Erwan Scornet
http://arxiv.org/abs/2105.11724v1
• [stat.ML]Scalable Cross Validation Losses for Gaussian Process Models
Martin Jankowiak, Geoff Pleiss
http://arxiv.org/abs/2105.11535v1
• [stat.ML]Unbiased Estimation of the Gradient of the Log-Likelihood for a Class of Continuous-Time State-Space Models
Marco Ballesio, Ajay Jasra
http://arxiv.org/abs/2105.11522v1
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