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.AS - 语音处理
eess.IV - 图像与视频处理
eess.SP - 信号处理
eess.SY - 系统和控制
math.OC - 优化与控制
math.ST - 统计理论
q-bio.PE - 人口与发展
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]Addressing materials’ microstructure diversity using transfer learning
• [cs.AI]A Deep Graph Reinforcement Learning Model for Improving User Experience in Live Video Streaming
• [cs.AI]A Theory of Consciousness from a Theoretical Computer Science Perspective 2: Insights from the Conscious Turing Machine
• [cs.AI]An Ethical Framework for Guiding the Development of Affectively-Aware Artificial Intelligence
• [cs.AI]An Online Question Answering System based on Sub-graph Searching
• [cs.AI]Bi-Bimodal Modality Fusion for Correlation-Controlled Multimodal Sentiment Analysis
• [cs.AI]Evaluating Relaxations of Logic for Neural Networks: A Comprehensive Study
• [cs.AI]Learned upper bounds for the Time-Dependent Travelling Salesman Problem
• [cs.AI]Learning User-Interpretable Descriptions of Black-Box AI System Capabilities
• [cs.AI]RSO: A Novel Reinforced Swarm Optimization Algorithm for Feature Selection
• [cs.AI]Underwater Acoustic Networks for Security Risk Assessment in Public Drinking Water Reservoirs
• [cs.CL]Addressing Barriers to Reproducible Named Entity Recognition Evaluation
• [cs.CL]AutoTinyBERT: Automatic Hyper-parameter Optimization for Efficient Pre-trained Language Models
• [cs.CL]Break, Perturb, Build: Automatic Perturbation of Reasoning Paths through Question Decomposition
• [cs.CL]Demystifying Neural Language Models’ Insensitivity to Word-Order
• [cs.CL]Detecting Abusive Albanian
• [cs.CL]Domain-matched Pre-training Tasks for Dense Retrieval
• [cs.CL]Investigating Text Simplification Evaluation
• [cs.CL]Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
• [cs.CL]Term Expansion and FinBERT fine-tuning for Hypernym and Synonym Ranking of Financial Terms
• [cs.CL]Using Perturbed Length-aware Positional Encoding for Non-autoregressive Neural Machine Translation
• [cs.CR]Malware Classification Using Transfer Learning
• [cs.CR]Secure Bayesian Federated Analytics for Privacy-Preserving Trend Detection
• [cs.CV]A Unified Efficient Pyramid Transformer for Semantic Segmentation
• [cs.CV]Abnormal Behavior Detection Based on Target Analysis
• [cs.CV]Bayesian Embeddings for Few-Shot Open World Recognition
• [cs.CV]Bridging Gap between Image Pixels and Semantics via Supervision: A Survey
• [cs.CV]CI-Net: Contextual Information for Joint Semantic Segmentation and Depth Estimation
• [cs.CV]Cascaded Residual Density Network for Crowd Counting
• [cs.CV]Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection
• [cs.CV]Cross-Camera Feature Prediction for Intra-Camera Supervised Person Re-identification across Distant Scenes
• [cs.CV]Discovering 3D Parts from Image Collections
• [cs.CV]Efficient Human Pose Estimation by Maximizing Fusion and High-Level Spatial Attention
• [cs.CV]Egyptian Sign Language Recognition Using CNN and LSTM
• [cs.CV]FREE: Feature Refinement for Generalized Zero-Shot Learning
• [cs.CV]Fast and Scalable Image Search For Histology
• [cs.CV]Feature Importance-aware Transferable Adversarial Attacks
• [cs.CV]From Continuity to Editability: Inverting GANs with Consecutive Images
• [cs.CV]Fully-Automatic Pipeline for Document Signature Analysis to Detect Money Laundering Activities
• [cs.CV]Generalizing Gaze Estimation with Outlier-guided Collaborative Adaptation
• [cs.CV]Geometry Uncertainty Projection Network for Monocular 3D Object Detection
• [cs.CV]Guided Disentanglement in Generative Networks
• [cs.CV]Hierarchical Self-supervised Augmented Knowledge Distillation
• [cs.CV]Human Trajectory Prediction via Counterfactual Analysis
• [cs.CV]Improving Robustness and Accuracy via Relative Information Encoding in 3D Human Pose Estimation
• [cs.CV]Learning Geometry-Guided Depth via Projective Modeling for Monocular 3D Object Detection
• [cs.CV]Learning with Noisy Labels for Robust Point Cloud Segmentation
• [cs.CV]Lighter Stacked Hourglass Human Pose Estimation
• [cs.CV]Machine Learning Advances aiding Recognition and Classification of Indian Monuments and Landmarks
• [cs.CV]Mapping Vulnerable Populations with AI
• [cs.CV]Open-World Entity Segmentation
• [cs.CV]PPT Fusion: Pyramid Patch Transformerfor a Case Study in Image Fusion
• [cs.CV]Personalized Trajectory Prediction via Distribution Discrimination
• [cs.CV]Probabilistic Monocular 3D Human Pose Estimation with Normalizing Flows
• [cs.CV]Probabilistic and Geometric Depth: Detecting Objects in Perspective
• [cs.CV]Profile to Frontal Face Recognition in the Wild Using Coupled Conditional GAN
• [cs.CV]ReFormer: The Relational Transformer for Image Captioning
• [cs.CV]Rethinking and Improving Relative Position Encoding for Vision Transformer
• [cs.CV]RigNet: Repetitive Image Guided Network for Depth Completion
• [cs.CV]Self-Paced Contrastive Learning for Semi-supervisedMedical Image Segmentation with Meta-labels
• [cs.CV]Self-Supervised Learning for Fine-Grained Image Classification
• [cs.CV]Semi-Supervised Active Learning with Temporal Output Discrepancy
• [cs.CV]Sign and Search: Sign Search Functionality for Sign Language Lexica
• [cs.CV]Similarity and symmetry measures based on fuzzy descriptors of image objects` composition
• [cs.CV]The Need and Status of Sea Turtle Conservation and Survey of Associated Computer Vision Advances
• [cs.CV]UIBert: Learning Generic Multimodal Representations for UI Understanding
• [cs.CV]Underwater inspection and intervention dataset
• [cs.CV]United We Learn Better: Harvesting Learning Improvements From Class Hierarchies Across Tasks
• [cs.CV]VMNet: Voxel-Mesh Network for Geodesic-Aware 3D Semantic Segmentation
• [cs.CV]Video Generation from Text Employing Latent Path Construction for Temporal Modeling
• [cs.CV]Viewpoint-Invariant Exercise Repetition Counting
• [cs.CV]What Does TERRA-REF’s High Resolution, Multi Sensor Plant Sensing Public Domain Data Offer the Computer Vision Community?
• [cs.CV]Why You Should Try the Real Data for the Scene Text Recognition
• [cs.CY]”Excavating AI” Re-excavated: Debunking a Fallacious Account of the JAFFE Dataset
• [cs.CY]Deeper Learning By Doing: Integrating Hands-On Research Projects Into a Machine Learning Course
• [cs.CY]User-Centric Health Data Using Self-sovereign Identities
• [cs.DC]Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts
• [cs.DC]DCG: Distributed Conjugate Gradient for Efficient Linear Equations Solving
• [cs.DC]VBR: Version Based Reclamation
• [cs.HC]Design-Driven Requirements for Computationally Co-Creative Game AI Design Tools
• [cs.HC]Explanatory Journeys: Visualising to Understand and Explain Administrative Justice Paths of Redress
• [cs.IR]ExpertRank: A Multi-level Coarse-grained Expert-based Listwise Ranking Loss
• [cs.IR]The Cross-Lingual Arabic Information REtrieval (CLAIRE) System
• [cs.IR]Understanding the Effects of Adversarial Personalized Ranking Optimization Method on Recommendation Quality
• [cs.IT]Achievable Regions and Precoder Designs for the Multiple Access Wiretap Channels with Confidential and Open Messages
• [cs.IT]Gossiping with Binary Freshness Metric
• [cs.IT]Optimal anticodes, MSRD codes, and generalized weights in the sum-rank metric
• [cs.LG]Artificial Intelligence Hybrid Deep Learning Model for Groundwater Level Prediction Using MLP-ADAM
• [cs.LG]Bayesian Optimization for Min Max Optimization
• [cs.LG]Characterizing the Generalization Error of Gibbs Algorithm with Symmetrized KL information
• [cs.LG]Concept for a Technical Infrastructure for Management of Predictive Models in Industrial Applications
• [cs.LG]Demand Forecasting in Smart Grid Using Long Short-Term Memory
• [cs.LG]Enhancing Adversarial Robustness via Test-time Transformation Ensembling
• [cs.LG]Few-Shot and Continual Learning with Attentive Independent Mechanisms
• [cs.LG]Generalizing Fairness: Discovery and Mitigation of Unknown Sensitive Attributes
• [cs.LG]HAFLO: GPU-Based Acceleration for Federated Logistic Regression
• [cs.LG]Imbalanced Adversarial Training with Reweighting
• [cs.LG]Large sample spectral analysis of graph-based multi-manifold clustering
• [cs.LG]Learning more skills through optimistic exploration
• [cs.LG]Lyapunov-based uncertainty-aware safe reinforcement learning
• [cs.LG]Multi-objective optimization and explanation for stroke risk assessment in Shanxi province
• [cs.LG]Multimodal Co-learning: Challenges, Applications with Datasets, Recent Advances and Future Directions
• [cs.LG]Non-Markovian Reinforcement Learning using Fractional Dynamics
• [cs.LG]On the combined effect of class imbalance and concept complexity in deep learning
• [cs.LG]Predicting battery end of life from solar off-grid system field data using machine learning
• [cs.LG]QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning
• [cs.LG]Ranking Micro-Influencers: a Novel Multi-Task Learning and Interpretable Framework
• [cs.LG]Relational Graph Neural Networks for Fraud Detection in a Super-Appe nvironment
• [cs.LG]Social Processes: Self-Supervised Forecasting of Nonverbal Cues in Social Conversations
• [cs.LG]Spatio-temporal graph neural networks for multi-site PV power forecasting
• [cs.LG]Spot What Matters: Learning Context Using Graph Convolutional Networks for Weakly-Supervised Action Detection
• [cs.LG]Structure and Performance of Fully Connected Neural Networks: Emerging Complex Network Properties
• [cs.LG]Tianshou: a Highly Modularized Deep Reinforcement Learning Library
• [cs.LG]To Boost or not to Boost: On the Limits of Boosted Neural Networks
• [cs.NE]Quasi-genetic algorithms and continuation Newton methods with deflation techniques for global optimization problems
• [cs.NI]P4COM: In-Network Computation with Programmable Switches
• [cs.RO]Automata-based Optimal Planning with Relaxed Specifications
• [cs.RO]Mapping Human Muscle Force to Supernumerary Robotics Device for Overhead Task Assistance
• [cs.RO]Maximize the Foot Clearance for a Hopping Robotic Leg ConsideringMotor Saturation
• [cs.RO]Using Visual Anomaly Detection for Task Execution Monitoring
• [cs.SD]Blind Room Parameter Estimation Using Multiple-Multichannel Speech Recordings
• [cs.SD]Estimating Respiratory Rate From Breath Audio Obtained Through Wearable Microphones
• [cs.SD]Pitch-Informed Instrument Assignment Using a Deep Convolutional Network with Multiple Kernel Shapes
• [cs.SI]A Method to Analyze Multiple Social Identities in Twitter Bios
• [cs.SI]Brexit and bots: characterizing the behaviour of automated accounts on Twitter during the UK election
• [cs.SI]The Robustness of Graph k-shell Structure under Adversarial Attacks
• [econ.EM]Double-Robust Two-Way-Fixed-Effects Regression For Panel Data
• [eess.AS]Proposal-based Few-shot Sound Event Detection for Speech and Environmental Sounds with Perceivers
• [eess.IV]A Similarity Measure of Histopathology Images by Deep Embeddings
• [eess.IV]Recurrent U-net for automatic pelvic floor muscle segmentation on 3D ultrasound
• [eess.IV]Swap-Free Fat-Water Separation in Dixon MRI using Conditional Generative Adversarial Networks
• [eess.IV]The interpretation of endobronchial ultrasound image using 3D convolutional neural network for differentiating malignant and benign mediastinal lesions
• [eess.SP]Downlink Analysis of LEO Multi-Beam Satellite Communication in Shadowed Rician Channels
• [eess.SP]Heterogeneously-Distributed Joint Radar Communications: Bayesian Resource Allocation
• [eess.SY]Semi-supervised Learning for Data-driven Soft-sensing of Biological and Chemical Processes
• [math.OC]Competitive Control
• [math.ST]CAD: Debiasing the Lasso with inaccurate covariate model
• [math.ST]Limit Distribution Theory for the Smooth 1-Wasserstein Distance with Applications
• [math.ST]Polynomials shrinkage estimators of a multivariate normal mean
• [math.ST]Proof: Accelerating Approximate Aggregation Queries with Expensive Predicates
• [math.ST]Sparse estimation for generalized exponential marked Hawkes process
• [math.ST]Wasserstein Conditional Independence Testing
• [q-bio.PE]Controlling epidemics through optimal allocation of test kits and vaccine doses across networks
• [quant-ph]Improved quantum error correction using soft information
• [stat.AP]CARlasso: An R package for the estimation of sparse microbial networks with predictors
• [stat.AP]Longitudinal Latent Overall Toxicity (LOTox) profiles in osteosarcoma: a new taxonomy based on latent Markov models
• [stat.AP]Mental Age Compatibility: Quantification through the Convolution of Probability Distributions
• [stat.AP]Modelling disease progression with multi-level electronic health records data and informative observation times: an application to treating iron deficiency anaemia in primary care of the UK
• [stat.AP]Smoking prevalence in Covid-19 patients
• [stat.AP]Why Do Polls Fail? The Case of Four US Presidential Elections, Brexit, and Two India General Elections
• [stat.ME]Binomial Mixture Model With U-shape Constraint
• [stat.ME]Detecting and diagnosing prior and likelihood sensitivity with power-scaling
• [stat.ME]Modern Non-Linear Function-on-Function Regression
• [stat.ME]Randomization does not imply unconfoundedness
• [stat.ME]Statistical depth in abstract metric spaces
• [stat.ME]The Bradly-Terry Regression Trunk approach for modelling preference data with small trees
• [stat.ML]Amplitude Mean of Functional Data on
• [stat.ML]Did the Model Change? Efficiently Assessing Machine Learning API Shifts
• [stat.ML]Learning the temporal evolution of multivariate densities via normalizing flows
• [stat.ML]Wasserstein-Splitting Gaussian Process Regression for Heterogeneous Online Bayesian Inference
·····································
• [cond-mat.mtrl-sci]Addressing materials’ microstructure diversity using transfer learning
Aurèle Goetz, Ali Riza Durmaz, Martin Müller, Akhil Thomas, Dominik Britz, Pierre Kerfriden, Chris Eberl
http://arxiv.org/abs/2107.13841v1
• [cs.AI]A Deep Graph Reinforcement Learning Model for Improving User Experience in Live Video Streaming
Stefanos Antaris, Dimitrios Rafailidis, Sarunas Girdzijauskas
http://arxiv.org/abs/2107.13619v1
• [cs.AI]A Theory of Consciousness from a Theoretical Computer Science Perspective 2: Insights from the Conscious Turing Machine
Lenore Blum, Manuel Blum
http://arxiv.org/abs/2107.13704v1
• [cs.AI]An Ethical Framework for Guiding the Development of Affectively-Aware Artificial Intelligence
Desmond C. Ong
http://arxiv.org/abs/2107.13734v1
• [cs.AI]An Online Question Answering System based on Sub-graph Searching
Shuangyong Song
http://arxiv.org/abs/2107.13684v1
• [cs.AI]Bi-Bimodal Modality Fusion for Correlation-Controlled Multimodal Sentiment Analysis
Wei Han, Hui Chen, Alexander Gelbukh, Amir Zadeh, Louis-philippe Morency, Soujanya Poria
http://arxiv.org/abs/2107.13669v1
• [cs.AI]Evaluating Relaxations of Logic for Neural Networks: A Comprehensive Study
Mattia Medina Grespan, Ashim Gupta, Vivek Srikumar
http://arxiv.org/abs/2107.13646v1
• [cs.AI]Learned upper bounds for the Time-Dependent Travelling Salesman Problem
Tommaso Adamo, Gianpaolo Ghiani, Pierpaolo Greco, Emanuela Guerriero
http://arxiv.org/abs/2107.13641v1
• [cs.AI]Learning User-Interpretable Descriptions of Black-Box AI System Capabilities
Pulkit Verma, Shashank Rao Marpally, Siddharth Srivastava
http://arxiv.org/abs/2107.13668v1
• [cs.AI]RSO: A Novel Reinforced Swarm Optimization Algorithm for Feature Selection
Hritam Basak, Mayukhmali Das, Susmita Modak
http://arxiv.org/abs/2107.14199v1
• [cs.AI]Underwater Acoustic Networks for Security Risk Assessment in Public Drinking Water Reservoirs
Jörg Stork, Philip Wenzel, Severin Landwein, Maria-Elena Algorri, Martin Zaefferer, Wolfgang Kusch, Martin Staubach, Thomas Bartz-Beielstein, Hartmut Köhn, Hermann Dejager, Christian Wolf
http://arxiv.org/abs/2107.13977v1
• [cs.CL]Addressing Barriers to Reproducible Named Entity Recognition Evaluation
Chester Palen-Michel, Nolan Holley, Constantine Lignos
http://arxiv.org/abs/2107.14154v1
• [cs.CL]AutoTinyBERT: Automatic Hyper-parameter Optimization for Efficient Pre-trained Language Models
Yichun Yin, Cheng Chen, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu
http://arxiv.org/abs/2107.13686v1
• [cs.CL]Break, Perturb, Build: Automatic Perturbation of Reasoning Paths through Question Decomposition
Mor Geva, Tomer Wolfson, Jonathan Berant
http://arxiv.org/abs/2107.13935v1
• [cs.CL]Demystifying Neural Language Models’ Insensitivity to Word-Order
Louis Clouatre, Prasanna Parthasarathi, Amal Zouaq, Sarath Chandar
http://arxiv.org/abs/2107.13955v1
• [cs.CL]Detecting Abusive Albanian
Erida Nurce, Jorgel Keci, Leon Derczynski
http://arxiv.org/abs/2107.13592v1
• [cs.CL]Domain-matched Pre-training Tasks for Dense Retrieval
Barlas Oğuz, Kushal Lakhotia, Anchit Gupta, Patrick Lewis, Vladimir Karpukhin, Aleksandra Piktus, Xilun Chen, Sebastian Riedel, Wen-tau Yih, Sonal Gupta, Yashar Mehdad
http://arxiv.org/abs/2107.13602v1
• [cs.CL]Investigating Text Simplification Evaluation
Laura Vásquez-Rodríguez, Matthew Shardlow, Piotr Przybyła, Sophia Ananiadou
http://arxiv.org/abs/2107.13662v1
• [cs.CL]Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
Pengfei Liu, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, Graham Neubig
http://arxiv.org/abs/2107.13586v1
• [cs.CL]Term Expansion and FinBERT fine-tuning for Hypernym and Synonym Ranking of Financial Terms
Ankush Chopra, Sohom Ghosh
http://arxiv.org/abs/2107.13764v1
• [cs.CL]Using Perturbed Length-aware Positional Encoding for Non-autoregressive Neural Machine Translation
Yui Oka, Katsuhito Sudoh, Satoshi Nakamura
http://arxiv.org/abs/2107.13689v1
• [cs.CR]Malware Classification Using Transfer Learning
Hikmat Farhat, Veronica Rammouz
http://arxiv.org/abs/2107.13743v1
• [cs.CR]Secure Bayesian Federated Analytics for Privacy-Preserving Trend Detection
Amit Chaulwar, Michael Huth
http://arxiv.org/abs/2107.13640v1
• [cs.CV]A Unified Efficient Pyramid Transformer for Semantic Segmentation
Fangrui Zhu, Yi Zhu, Li Zhang, Chongruo Wu, Yanwei Fu, Mu Li
http://arxiv.org/abs/2107.14209v1
• [cs.CV]Abnormal Behavior Detection Based on Target Analysis
Luchuan Song, Bin Liu, Huihui Zhu, Qi Chu, Nenghai Yu
http://arxiv.org/abs/2107.13706v1
• [cs.CV]Bayesian Embeddings for Few-Shot Open World Recognition
John Willes, James Harrison, Ali Harakeh, Chelsea Finn, Marco Pavone, Steven Waslander
http://arxiv.org/abs/2107.13682v1
• [cs.CV]Bridging Gap between Image Pixels and Semantics via Supervision: A Survey
Jiali Duan, C. -C. Jay Kuo
http://arxiv.org/abs/2107.13757v1
• [cs.CV]CI-Net: Contextual Information for Joint Semantic Segmentation and Depth Estimation
Tianxiao Gao, Wu Wei, Zhongbin Cai, Zhun Fan, Shane Xie, Xinmei Wang, Qiuda Yu
http://arxiv.org/abs/2107.13800v1
• [cs.CV]Cascaded Residual Density Network for Crowd Counting
Kun Zhao, Luchuan Song, Bin Liu, Qi Chu, Nenghai Yu
http://arxiv.org/abs/2107.13718v1
• [cs.CV]Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection
Xinyang Feng, Dongjin Song, Yuncong Chen, Zhengzhang Chen, Jingchao Ni, Haifeng Chen
http://arxiv.org/abs/2107.13720v1
• [cs.CV]Cross-Camera Feature Prediction for Intra-Camera Supervised Person Re-identification across Distant Scenes
Wenhang Ge, Chunyan Pan, Ancong Wu, Hongwei Zheng, Wei-Shi Zheng
http://arxiv.org/abs/2107.13904v1
• [cs.CV]Discovering 3D Parts from Image Collections
Chun-Han Yao, Wei-Chih Hung, Varun Jampani, Ming-Hsuan Yang
http://arxiv.org/abs/2107.13629v1
• [cs.CV]Efficient Human Pose Estimation by Maximizing Fusion and High-Level Spatial Attention
Zhiyuan Ren, Yaohai Zhou, Yizhe Chen, Ruisong Zhou, Yayu Gao
http://arxiv.org/abs/2107.13693v1
• [cs.CV]Egyptian Sign Language Recognition Using CNN and LSTM
Ahmed Elhagry, Rawan Gla
http://arxiv.org/abs/2107.13647v1
• [cs.CV]FREE: Feature Refinement for Generalized Zero-Shot Learning
Shiming Chen, Wenjie Wang, Beihao Xia, Qinmu Peng, Xinge You, Feng Zheng, Ling Shao
http://arxiv.org/abs/2107.13807v1
• [cs.CV]Fast and Scalable Image Search For Histology
Chengkuan Chen, Ming Y. Lu, Drew F. K. Williamson, Tiffany Y. Chen, Andrew J. Schaumberg, Faisal Mahmood
http://arxiv.org/abs/2107.13587v1
• [cs.CV]Feature Importance-aware Transferable Adversarial Attacks
Zhibo Wang, Hengchang Guo, Zhifei Zhang, Wenxin Liu, Zhan Qin, Kui Ren
http://arxiv.org/abs/2107.14185v1
• [cs.CV]From Continuity to Editability: Inverting GANs with Consecutive Images
Yangyang Xu, Yong Du, Wenpeng Xiao, Xuemiao Xu, Shengfeng He
http://arxiv.org/abs/2107.13812v1
• [cs.CV]Fully-Automatic Pipeline for Document Signature Analysis to Detect Money Laundering Activities
Nikhil Woodruff, Amir Enshaei, Bashar Awwad Shiekh Hasan
http://arxiv.org/abs/2107.14091v1
• [cs.CV]Generalizing Gaze Estimation with Outlier-guided Collaborative Adaptation
Yunfei Liu, Ruicong Liu, Haofei Wang, Feng Lu
http://arxiv.org/abs/2107.13780v1
• [cs.CV]Geometry Uncertainty Projection Network for Monocular 3D Object Detection
Yan Lu, Xinzhu Ma, Lei Yang, Tianzhu Zhang, Yating Liu, Qi Chu, Junjie Yan, Wanli Ouyang
http://arxiv.org/abs/2107.13774v1
• [cs.CV]Guided Disentanglement in Generative Networks
Fabio Pizzati, Pietro Cerri, Raoul de Charette
http://arxiv.org/abs/2107.14229v1
• [cs.CV]Hierarchical Self-supervised Augmented Knowledge Distillation
Chuanguang Yang, Zhulin An, Linhang Cai, Yongjun Xu
http://arxiv.org/abs/2107.13715v1
• [cs.CV]Human Trajectory Prediction via Counterfactual Analysis
Guangyi Chen, Junlong Li, Jiwen Lu, Jie Zhou
http://arxiv.org/abs/2107.14202v1
• [cs.CV]Improving Robustness and Accuracy via Relative Information Encoding in 3D Human Pose Estimation
Wenkang Shan, Haopeng Lu, Shanshe Wang, Xinfeng Zhang, Wen Gao
http://arxiv.org/abs/2107.13994v1
• [cs.CV]Learning Geometry-Guided Depth via Projective Modeling for Monocular 3D Object Detection
Yinmin Zhang, Xinzhu Ma, Shuai Yi, Jun Hou, Zhihui Wang, Wanli Ouyang, Dan Xu
http://arxiv.org/abs/2107.13931v1
• [cs.CV]Learning with Noisy Labels for Robust Point Cloud Segmentation
Shuquan Ye, Dongdong Chen, Songfang Han, Jing Liao
http://arxiv.org/abs/2107.14230v1
• [cs.CV]Lighter Stacked Hourglass Human Pose Estimation
Ahmed Elhagry, Mohamed Saeed, Musie Araia
http://arxiv.org/abs/2107.13643v1
• [cs.CV]Machine Learning Advances aiding Recognition and Classification of Indian Monuments and Landmarks
Aditya Jyoti Paul, Smaranjit Ghose, Kanishka Aggarwal, Niketha Nethaji, Shivam Pal, Arnab Dutta Purkayastha
http://arxiv.org/abs/2107.14070v1
• [cs.CV]Mapping Vulnerable Populations with AI
Benjamin Kellenberger, John E. Vargas-Muñoz, Devis Tuia, Rodrigo C. Daudt, Konrad Schindler, Thao T-T Whelan, Brenda Ayo, Ferda Ofli, Muhammad Imran
http://arxiv.org/abs/2107.14123v1
• [cs.CV]Open-World Entity Segmentation
Lu Qi, Jason Kuen, Yi Wang, Jiuxiang Gu, Hengshuang Zhao, Zhe Lin, Philip Torr, Jiaya Jia
http://arxiv.org/abs/2107.14228v1
• [cs.CV]PPT Fusion: Pyramid Patch Transformerfor a Case Study in Image Fusion
Yu Fu, TianYang Xu, XiaoJun Wu, Josef Kittler
http://arxiv.org/abs/2107.13967v1
• [cs.CV]Personalized Trajectory Prediction via Distribution Discrimination
Guangyi Chen, Junlong Li, Nuoxing Zhou, Liangliang Ren, Jiwen Lu
http://arxiv.org/abs/2107.14204v1
• [cs.CV]Probabilistic Monocular 3D Human Pose Estimation with Normalizing Flows
Tom Wehrbein, Marco Rudolph, Bodo Rosenhahn, Bastian Wandt
http://arxiv.org/abs/2107.13788v1
• [cs.CV]Probabilistic and Geometric Depth: Detecting Objects in Perspective
Tai Wang, Xinge Zhu, Jiangmiao Pang, Dahua Lin
http://arxiv.org/abs/2107.14160v1
• [cs.CV]Profile to Frontal Face Recognition in the Wild Using Coupled Conditional GAN
Fariborz Taherkhani, Veeru Talreja, Jeremy Dawson, Matthew C. Valenti, Nasser M. Nasrabadi
http://arxiv.org/abs/2107.13742v1
• [cs.CV]ReFormer: The Relational Transformer for Image Captioning
Xuewen Yang, Yingru Liu, Xin Wang
http://arxiv.org/abs/2107.14178v1
• [cs.CV]Rethinking and Improving Relative Position Encoding for Vision Transformer
Kan Wu, Houwen Peng, Minghao Chen, Jianlong Fu, Hongyang Chao
http://arxiv.org/abs/2107.14222v1
• [cs.CV]RigNet: Repetitive Image Guided Network for Depth Completion
Zhiqiang Yan, Kun Wang, Xiang Li, Zhenyu Zhang, Baobei Xu, Jun Li, Jian Yang
http://arxiv.org/abs/2107.13802v1
• [cs.CV]Self-Paced Contrastive Learning for Semi-supervisedMedical Image Segmentation with Meta-labels
Jizong Peng, Ping Wang, Chrisitian Desrosiers, Marco Pedersoli
http://arxiv.org/abs/2107.13741v1
• [cs.CV]Self-Supervised Learning for Fine-Grained Image Classification
Farha Al Breiki, Muhammad Ridzuan, Rushali Grandhe
http://arxiv.org/abs/2107.13973v1
• [cs.CV]Semi-Supervised Active Learning with Temporal Output Discrepancy
Siyu Huang, Tianyang Wang, Haoyi Xiong, Jun Huan, Dejing Dou
http://arxiv.org/abs/2107.14153v1
• [cs.CV]Sign and Search: Sign Search Functionality for Sign Language Lexica
Manolis Fragkiadakis, Peter van der Putten
http://arxiv.org/abs/2107.13637v1
• [cs.CV]Similarity and symmetry measures based on fuzzy descriptors of image objects` composition
Marcin Iwanowski, Marcin Grzabka
http://arxiv.org/abs/2107.13651v1
• [cs.CV]The Need and Status of Sea Turtle Conservation and Survey of Associated Computer Vision Advances
Aditya Jyoti Paul
http://arxiv.org/abs/2107.14061v1
• [cs.CV]UIBert: Learning Generic Multimodal Representations for UI Understanding
Chongyang Bai, Xiaoxue Zang, Ying Xu, Srinivas Sunkara, Abhinav Rastogi, Jindong Chen, Blaise Aguera y Arcas
http://arxiv.org/abs/2107.13731v1
• [cs.CV]Underwater inspection and intervention dataset
Tomasz Luczynski, Jonatan Scharff Willners, Elizabeth Vargas, Joshua Roe, Shida Xu, Yu Cao, Yvan Petillot, Sen Wang
http://arxiv.org/abs/2107.13628v1
• [cs.CV]United We Learn Better: Harvesting Learning Improvements From Class Hierarchies Across Tasks
Sindi Shkodrani, Yu Wang, Marco Manfredi, Nóra Baka
http://arxiv.org/abs/2107.13627v1
• [cs.CV]VMNet: Voxel-Mesh Network for Geodesic-Aware 3D Semantic Segmentation
Zeyu Hu, Xuyang Bai, Jiaxiang Shang, Runze Zhang, Jiayu Dong, Xin Wang, Guangyuan Sun, Hongbo Fu, Chiew-Lan Tai
http://arxiv.org/abs/2107.13824v1
• [cs.CV]Video Generation from Text Employing Latent Path Construction for Temporal Modeling
Amir Mazaheri, Mubarak Shah
http://arxiv.org/abs/2107.13766v1
• [cs.CV]Viewpoint-Invariant Exercise Repetition Counting
Yu Cheng Hsu, Qingpeng Zhang, Efstratios Tsougenis, Kwok-Leung Tsui
http://arxiv.org/abs/2107.13760v1
• [cs.CV]What Does TERRA-REF’s High Resolution, Multi Sensor Plant Sensing Public Domain Data Offer the Computer Vision Community?
David LeBauer, Max Burnette, Noah Fahlgren, Rob Kooper, Kenton McHenry, Abby Stylianou
http://arxiv.org/abs/2107.14072v1
• [cs.CV]Why You Should Try the Real Data for the Scene Text Recognition
Vladimir Loginov
http://arxiv.org/abs/2107.13938v1
• [cs.CY]“Excavating AI” Re-excavated: Debunking a Fallacious Account of the JAFFE Dataset
Michael J. Lyons
http://arxiv.org/abs/2107.13998v1
• [cs.CY]Deeper Learning By Doing: Integrating Hands-On Research Projects Into a Machine Learning Course
Sebastian Raschka
http://arxiv.org/abs/2107.13671v1
• [cs.CY]User-Centric Health Data Using Self-sovereign Identities
Alexandre Siqueira, Arlindo Flavio da Conceição, Vladimir Rocha
http://arxiv.org/abs/2107.13986v1
• [cs.DC]Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts
Dominik Scheinert, Lauritz Thamsen, Houkun Zhu, Jonathan Will, Alexander Acker, Thorsten Wittkopp, Odej Kao
http://arxiv.org/abs/2107.13921v1
• [cs.DC]DCG: Distributed Conjugate Gradient for Efficient Linear Equations Solving
Haodi Ping, Yongcai Wang, Deying Li
http://arxiv.org/abs/2107.13814v1
• [cs.DC]VBR: Version Based Reclamation
Gali Sheffi, Maurice Herlihy, Erez Petrank
http://arxiv.org/abs/2107.13843v1
• [cs.HC]Design-Driven Requirements for Computationally Co-Creative Game AI Design Tools
Nathan Partlan, Erica Kleinman, Jim Howe, Sabbir Ahmad, Stacy Marsella, Magy Seif El-Nasr
http://arxiv.org/abs/2107.13738v1
• [cs.HC]Explanatory Journeys: Visualising to Understand and Explain Administrative Justice Paths of Redress
Jonathan C. Roberts, Peter Butcher, Ann Sherlock, Sarah Nason
http://arxiv.org/abs/2107.14013v1
• [cs.IR]ExpertRank: A Multi-level Coarse-grained Expert-based Listwise Ranking Loss
Zhizhong Chen, Carsten Eickhoff
http://arxiv.org/abs/2107.13752v1
• [cs.IR]The Cross-Lingual Arabic Information REtrieval (CLAIRE) System
Zhizhong Chen, Carsten Eickhoff
http://arxiv.org/abs/2107.13751v1
• [cs.IR]Understanding the Effects of Adversarial Personalized Ranking Optimization Method on Recommendation Quality
Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra
http://arxiv.org/abs/2107.13876v1
• [cs.IT]Achievable Regions and Precoder Designs for the Multiple Access Wiretap Channels with Confidential and Open Messages
Hao Xu, Tianyu Yang, Kai-Kit Wong, Giuseppe Caire
http://arxiv.org/abs/2107.14163v1
• [cs.IT]Gossiping with Binary Freshness Metric
Melih Bastopcu, Baturalp Buyukates, Sennur Ulukus
http://arxiv.org/abs/2107.14218v1
• [cs.IT]Optimal anticodes, MSRD codes, and generalized weights in the sum-rank metric
Eduardo Camps Moreno, Elisa Gorla, Cristina Landolina, Elisa Lorenzo García, Umberto Martínez-Peñas, Flavio Salizzoni
http://arxiv.org/abs/2107.13611v1
• [cs.LG]Artificial Intelligence Hybrid Deep Learning Model for Groundwater Level Prediction Using MLP-ADAM
Pejman Zarafshan, Saman Javadi, Abbas Roozbahani, Seyed Mehdi Hashemy, Payam Zarafshan, Hamed Etezadi
http://arxiv.org/abs/2107.13870v1
• [cs.LG]Bayesian Optimization for Min Max Optimization
Dorina Weichert, Alexander Kister
http://arxiv.org/abs/2107.13772v1
• [cs.LG]Characterizing the Generalization Error of Gibbs Algorithm with Symmetrized KL information
Gholamali Aminian, Yuheng Bu, Laura Toni, Miguel R. D. Rodrigues, Gregory Wornell
http://arxiv.org/abs/2107.13656v1
• [cs.LG]Concept for a Technical Infrastructure for Management of Predictive Models in Industrial Applications
Florian Bachinger, Gabriel Kronberger
http://arxiv.org/abs/2107.13821v1
• [cs.LG]Demand Forecasting in Smart Grid Using Long Short-Term Memory
Koushik Roy, Abtahi Ishmam, Kazi Abu Taher
http://arxiv.org/abs/2107.13653v1
• [cs.LG]Enhancing Adversarial Robustness via Test-time Transformation Ensembling
Juan C. Pérez, Motasem Alfarra, Guillaume Jeanneret, Laura Rueda, Ali Thabet, Bernard Ghanem, Pablo Arbeláez
http://arxiv.org/abs/2107.14110v1
• [cs.LG]Few-Shot and Continual Learning with Attentive Independent Mechanisms
Eugene Lee, Cheng-Han Huang, Chen-Yi Lee
http://arxiv.org/abs/2107.14053v1
• [cs.LG]Generalizing Fairness: Discovery and Mitigation of Unknown Sensitive Attributes
William Paul, Philippe Burlina
http://arxiv.org/abs/2107.13625v1
• [cs.LG]HAFLO: GPU-Based Acceleration for Federated Logistic Regression
Xiaodian Cheng, Wanhang Lu, Xinyang Huang, Shuihai Hu, Kai Chen
http://arxiv.org/abs/2107.13797v1
• [cs.LG]Imbalanced Adversarial Training with Reweighting
Wentao Wang, Han Xu, Xiaorui Liu, Yaxin Li, Bhavani Thuraisingham, Jiliang Tang
http://arxiv.org/abs/2107.13639v1
• [cs.LG]Large sample spectral analysis of graph-based multi-manifold clustering
Nicolas Garcia Trillos, Pengfei He, Chenghui Li
http://arxiv.org/abs/2107.13610v1
• [cs.LG]Learning more skills through optimistic exploration
DJ Strouse, Kate Baumli, David Warde-Farley, Vlad Mnih, Steven Hansen
http://arxiv.org/abs/2107.14226v1
• [cs.LG]Lyapunov-based uncertainty-aware safe reinforcement learning
Ashkan B. Jeddi, Nariman L. Dehghani, Abdollah Shafieezadeh
http://arxiv.org/abs/2107.13944v1
• [cs.LG]Multi-objective optimization and explanation for stroke risk assessment in Shanxi province
ing Ma, Yiyang Sun, Junjie Liu, Huaxiong Huang, Xiaoshuang Zhou, Shixin Xu
http://arxiv.org/abs/2107.14060v1
• [cs.LG]Multimodal Co-learning: Challenges, Applications with Datasets, Recent Advances and Future Directions
Anil Rahate, Rahee Walambe, Sheela Ramanna, Ketan Kotecha
http://arxiv.org/abs/2107.13782v1
• [cs.LG]Non-Markovian Reinforcement Learning using Fractional Dynamics
Gaurav Gupta, Chenzhong Yin, Jyotirmoy V. Deshmukh, Paul Bogdan
http://arxiv.org/abs/2107.13790v1
• [cs.LG]On the combined effect of class imbalance and concept complexity in deep learning
Kushankur Ghosh, Colin Bellinger, Roberto Corizzo, Bartosz Krawczyk, Nathalie Japkowicz
http://arxiv.org/abs/2107.14194v1
• [cs.LG]Predicting battery end of life from solar off-grid system field data using machine learning
Antti Aitio, David A. Howey
http://arxiv.org/abs/2107.13856v1
• [cs.LG]QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning
Kaan Ozkara, Navjot Singh, Deepesh Data, Suhas Diggavi
http://arxiv.org/abs/2107.13892v1
• [cs.LG]Ranking Micro-Influencers: a Novel Multi-Task Learning and Interpretable Framework
Adam Elwood, Alberto Gasparin, Alessandro Rozza
http://arxiv.org/abs/2107.13943v1
• [cs.LG]Relational Graph Neural Networks for Fraud Detection in a Super-Appe nvironment
Jaime D. Acevedo-Viloria, Luisa Roa, Soji Adeshina, Cesar Charalla Olazo, Andrés Rodríguez-Rey, Jose Alberto Ramos, Alejandro Correa-Bahnsen
http://arxiv.org/abs/2107.13673v1
• [cs.LG]Social Processes: Self-Supervised Forecasting of Nonverbal Cues in Social Conversations
Chirag Raman, Hayley Hung, Marco Loog
http://arxiv.org/abs/2107.13576v1
• [cs.LG]Spatio-temporal graph neural networks for multi-site PV power forecasting
Jelena Simeunović, Baptiste Schubnel, Pierre-Jean Alet, Rafael E. Carrillo
http://arxiv.org/abs/2107.13875v1
• [cs.LG]Spot What Matters: Learning Context Using Graph Convolutional Networks for Weakly-Supervised Action Detection
Michail Tsiaousis, Gertjan Burghouts, Fieke Hillerström, Peter van der Putten
http://arxiv.org/abs/2107.13648v1
• [cs.LG]Structure and Performance of Fully Connected Neural Networks: Emerging Complex Network Properties
Leonardo F. S. Scabini, Odemir M. Bruno
http://arxiv.org/abs/2107.14062v1
• [cs.LG]Tianshou: a Highly Modularized Deep Reinforcement Learning Library
Jiayi Weng, Huayu Chen, Dong Yan, Kaichao You, Alexis Duburcq, Minghao Zhang, Hang Su, Jun Zhu
http://arxiv.org/abs/2107.14171v1
• [cs.LG]To Boost or not to Boost: On the Limits of Boosted Neural Networks
Sai Saketh Rambhatla, Michael Jones, Rama Chellappa
http://arxiv.org/abs/2107.13600v1
• [cs.NE]Quasi-genetic algorithms and continuation Newton methods with deflation techniques for global optimization problems
Xin-long Luo, Hang Xiao
http://arxiv.org/abs/2107.13864v1
• [cs.NI]P4COM: In-Network Computation with Programmable Switches
Ge Chen, Gaoxiong Zeng, Li Chen
http://arxiv.org/abs/2107.13694v1
• [cs.RO]Automata-based Optimal Planning with Relaxed Specifications
Disha Kamale, Eleni Karyofylli, Cristian-Ioan Vasile
http://arxiv.org/abs/2107.13650v1
• [cs.RO]Mapping Human Muscle Force to Supernumerary Robotics Device for Overhead Task Assistance
Jianwen Luo, Zheng Wang, Chaoyang Song, H. Harry Asada, Chenglong Fu
http://arxiv.org/abs/2107.13799v1
• [cs.RO]Maximize the Foot Clearance for a Hopping Robotic Leg ConsideringMotor Saturation
Juntong Su, Bingchen Jin, Shusheng Ye, Lecheng Ruan, Caiming Sun, Ning Ding, Yili Fu, Jianwen Luo
http://arxiv.org/abs/2107.13717v1
• [cs.RO]Using Visual Anomaly Detection for Task Execution Monitoring
Santosh Thoduka, Juergen Gall, Paul G. Plöger
http://arxiv.org/abs/2107.14206v1
• [cs.SD]Blind Room Parameter Estimation Using Multiple-Multichannel Speech Recordings
Prerak Srivastava, Antoine Deleforge, Emmanuel Vincent
http://arxiv.org/abs/2107.13832v1
• [cs.SD]Estimating Respiratory Rate From Breath Audio Obtained Through Wearable Microphones
Agni Kumar, Vikramjit Mitra, Carolyn Oliver, Adeeti Ullal, Matt Biddulph, Irida Mance
http://arxiv.org/abs/2107.14028v1
• [cs.SD]Pitch-Informed Instrument Assignment Using a Deep Convolutional Network with Multiple Kernel Shapes
Carlos Lordelo, Emmanouil Benetos, Simon Dixon, Sven Ahlbäck
http://arxiv.org/abs/2107.13617v1
• [cs.SI]A Method to Analyze Multiple Social Identities in Twitter Bios
Arjunil Pathak, Navid Madani, Kenneth Joseph
http://arxiv.org/abs/2107.14120v1
• [cs.SI]Brexit and bots: characterizing the behaviour of automated accounts on Twitter during the UK election
Matteo Bruno, Renaud Lambiotte, Fabio Saracco
http://arxiv.org/abs/2107.14155v1
• [cs.SI]The Robustness of Graph k-shell Structure under Adversarial Attacks
B. Zhou, Y. Q. Lv, Y. C. Mao, J. H. Wang, S. Q. Yu, Q. Xuan
http://arxiv.org/abs/2107.13962v1
• [econ.EM]Double-Robust Two-Way-Fixed-Effects Regression For Panel Data
Dmitry Arkhangelsky, Guido W. Imbens, Lihua Lei, Xiaoman Luo
http://arxiv.org/abs/2107.13737v1
• [eess.AS]Proposal-based Few-shot Sound Event Detection for Speech and Environmental Sounds with Perceivers
Piper Wolters, Chris Daw, Brian Hutchinson, Lauren Phillips
http://arxiv.org/abs/2107.13616v1
• [eess.IV]A Similarity Measure of Histopathology Images by Deep Embeddings
Mehdi Afshari, H. R. Tizhoosh
http://arxiv.org/abs/2107.13703v1
• [eess.IV]Recurrent U-net for automatic pelvic floor muscle segmentation on 3D ultrasound
Frieda van den Noort, Beril Sirmacek, Cornelis H. Slump
http://arxiv.org/abs/2107.13833v1
• [eess.IV]Swap-Free Fat-Water Separation in Dixon MRI using Conditional Generative Adversarial Networks
Nicolas Basty, Marjola Thanaj, Madeleine Cule, Elena P. Sorokin, Yi Liu, Jimmy D. Bell, E. Louise Thomas, Brandon Whitcher
http://arxiv.org/abs/2107.14175v1
• [eess.IV]The interpretation of endobronchial ultrasound image using 3D convolutional neural network for differentiating malignant and benign mediastinal lesions
Ching, Kai Lin, Shao, Hua Wu, Jerry Chang, Yun, Chien Cheng
http://arxiv.org/abs/2107.13820v1
• [eess.SP]Downlink Analysis of LEO Multi-Beam Satellite Communication in Shadowed Rician Channels
Eunsun Kim, Ian P. Roberts, Peter A. Iannucci, Jeffrey G. Andrews
http://arxiv.org/abs/2107.13776v1
• [eess.SP]Heterogeneously-Distributed Joint Radar Communications: Bayesian Resource Allocation
Linlong Wu, Kumar Vijay Mishra, Bhavani Shankar M. R., Björn Ottersten
http://arxiv.org/abs/2107.13838v1
• [eess.SY]Semi-supervised Learning for Data-driven Soft-sensing of Biological and Chemical Processes
Erik Esche, Torben Talis, Joris Weigert, Gerardo Brand-Rihm, Byungjun You, Christian Hoffmann, Jens-Uwe Repke
http://arxiv.org/abs/2107.13822v1
• [math.OC]Competitive Control
Gautam Goel, Babak Hassibi
http://arxiv.org/abs/2107.13657v1
• [math.ST]CAD: Debiasing the Lasso with inaccurate covariate model
Michael Celentano, Andrea Montanari
http://arxiv.org/abs/2107.14172v1
• [math.ST]Limit Distribution Theory for the Smooth 1-Wasserstein Distance with Applications
Ritwik Sadhu, Ziv Goldfeld, Kengo Kato
http://arxiv.org/abs/2107.13494v2
• [math.ST]Polynomials shrinkage estimators of a multivariate normal mean
Abdelkader Benkhaled, Mekki Terbeche, Abdenour Hamdaoui
http://arxiv.org/abs/2107.14021v1
• [math.ST]Proof: Accelerating Approximate Aggregation Queries with Expensive Predicates
Daniel Kang, John Guibas, Peter Bailis, Tatsunori Hashimoto, Yi Sun, Matei Zaharia
http://arxiv.org/abs/2107.12525v2
• [math.ST]Sparse estimation for generalized exponential marked Hawkes process
Masatoshi Goda
http://arxiv.org/abs/2107.14004v1
• [math.ST]Wasserstein Conditional Independence Testing
Andrew Warren
http://arxiv.org/abs/2107.14184v1
• [q-bio.PE]Controlling epidemics through optimal allocation of test kits and vaccine doses across networks
Mingtao Xia, Lucas Böttcher, Tom Chou
http://arxiv.org/abs/2107.13709v1
• [quant-ph]Improved quantum error correction using soft information
Christopher A. Pattison, Michael E. Beverland, Marcus P. da Silva, Nicolas Delfosse
http://arxiv.org/abs/2107.13589v1
• [stat.AP]CARlasso: An R package for the estimation of sparse microbial networks with predictors
Yunyi Shen, Claudia Solis-Lemus
http://arxiv.org/abs/2107.13763v1
• [stat.AP]Longitudinal Latent Overall Toxicity (LOTox) profiles in osteosarcoma: a new taxonomy based on latent Markov models
Marta Spreafico, Francesca Ieva, Marta Fiocco
http://arxiv.org/abs/2107.12863v2
• [stat.AP]Mental Age Compatibility: Quantification through the Convolution of Probability Distributions
Patrick A. Haas
http://arxiv.org/abs/2107.13683v1
• [stat.AP]Modelling disease progression with multi-level electronic health records data and informative observation times: an application to treating iron deficiency anaemia in primary care of the UK
Li Su, Yafeng Cheng, Dora I. A. Pereira, Jonathan J. Powell
http://arxiv.org/abs/2107.13956v1
• [stat.AP]Smoking prevalence in Covid-19 patients
Sina Bagheri Nezhad, Nasser Mozayani, Elham Abdi, Setareh Rostami
http://arxiv.org/abs/2107.13599v1
• [stat.AP]Why Do Polls Fail? The Case of Four US Presidential Elections, Brexit, and Two India General Elections
Andreas N. Philippou
http://arxiv.org/abs/2107.14166v1
• [stat.ME]Binomial Mixture Model With U-shape Constraint
Yuting Ye, Peter J. Bickel
http://arxiv.org/abs/2107.13756v1
• [stat.ME]Detecting and diagnosing prior and likelihood sensitivity with power-scaling
Noa Kallioinen, Topi Paananen, Paul-Christian Bürkner, Aki Vehtari
http://arxiv.org/abs/2107.14054v1
• [stat.ME]Modern Non-Linear Function-on-Function Regression
Aniruddha Rajendra Rao, Matthew Reimherr
http://arxiv.org/abs/2107.14151v1
• [stat.ME]Randomization does not imply unconfoundedness
Fredrik Sävje
http://arxiv.org/abs/2107.14197v1
• [stat.ME]Statistical depth in abstract metric spaces
Gery Geenens, Alicia Nieto-Reyes, Giacomo Francisci
http://arxiv.org/abs/2107.13779v1
• [stat.ME]The Bradly-Terry Regression Trunk approach for modelling preference data with small trees
Alessio Baldassarre, Elise Dusseldorp, Antonio D’Ambrosio, Mark de Rooij, Claudio Conversano
http://arxiv.org/abs/2107.13920v1
• [stat.ML]Amplitude Mean of Functional Data on
Zhengwu Zhang, Bayan Saparbayeva
http://arxiv.org/abs/2107.13721v1
• [stat.ML]Did the Model Change? Efficiently Assessing Machine Learning API Shifts
Lingjiao Chen, Tracy Cai, Matei Zaharia, James Zou
http://arxiv.org/abs/2107.14203v1
• [stat.ML]Learning the temporal evolution of multivariate densities via normalizing flows
Yubin Lu, Romit Maulik, Ting Gao, Felix Dietrich, Ioannis G. Kevrekidis, Jinqiao Duan
http://arxiv.org/abs/2107.13735v1
• [stat.ML]Wasserstein-Splitting Gaussian Process Regression for Heterogeneous Online Bayesian Inference
Michael E. Kepler, Alec Koppel, Amrit Singh Bedi, Daniel J. Stilwell
http://arxiv.org/abs/2107.12797v1
若有收获，就点个赞吧
0 人点赞
