Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning

8 August 2019

Papers citing "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"

50 / 205 papers shown

Title
Self-Supervised and Semi-Supervised Polyp Segmentation using Synthetic Data Enric Moreu Eric Arazo Kevin McGuinness Noel E. O'Connor 53 1 0 22 Jul 2023
Monocular 3D Object Detection with LiDAR Guided Semi Supervised Active Learning A. Hekimoglu Michael Schmidt Alvaro Marcos-Ramiro 3DPC 48 11 0 17 Jul 2023
SPLAL: Similarity-based pseudo-labeling with alignment loss for semi-supervised medical image classification Md Junaid Mahmood Pranaw Raj Divyansh Agarwal S. Kumari Pravendra Singh 55 7 0 10 Jul 2023
Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment Qijie Ding Jie Yin Daokun Zhang Junbin Gao 61 4 0 05 Jul 2023
Efficient Subclass Segmentation in Medical Images Linrui Dai Wenhui Lei Xiaofan Zhang 37 1 0 01 Jul 2023
Class-Adaptive Self-Training for Relation Extraction with Incompletely Annotated Training Data Qingyu Tan Lu Xu Lidong Bing Hwee Tou Ng 29 4 0 16 Jun 2023
Semi-supervised learning made simple with self-supervised clustering Enrico Fini Pietro Astolfi Alahari Karteek Xavier Alameda-Pineda Julien Mairal Moin Nabi Elisa Ricci SSL 44 26 0 13 Jun 2023
Using Unreliable Pseudo-Labels for Label-Efficient Semantic Segmentation Haochen Wang Yuchao Wang Yujun Shen Junsong Fan Yuxi Wang Zhaoxiang Zhang UQCV 53 10 0 04 Jun 2023
Rethinking Semi-supervised Learning with Language Models Zhengxiang Shi Francesco Tonolini Nikolaos Aletras Emine Yilmaz G. Kazai Yunlong Jiao 45 19 0 22 May 2023
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations Hao Chen Ankit Shah Jindong Wang R. Tao Yidong Wang Xingxu Xie Masashi Sugiyama Rita Singh Bhiksha Raj 55 12 0 22 May 2023
Making the Most of What You Have: Adapting Pre-trained Visual Language Models in the Low-data Regime Chuhan Zhang Antoine Miech Jiajun Shen Jean-Baptiste Alayrac Pauline Luc VLM VPVLM 54 2 0 03 May 2023
Self-training with dual uncertainty for semi-supervised medical image segmentation Zhanhong Qiu Haitao Gan Mingzhi Shi Zhongwei Huang Zhi Yang 27 2 0 10 Apr 2023
InstructBio: A Large-scale Semi-supervised Learning Paradigm for Biochemical Problems Fang Wu Huiling Qin Siyuan Li Stan Z. Li Xianyuan Zhan Jinbo Xu 34 5 0 08 Apr 2023
CAusal and collaborative proxy-tasKs lEarning for Semi-Supervised Domain Adaptation Wenqiao Zhang Changshuo Liu Can Cui Beng Chin Ooi CML 32 0 0 30 Mar 2023
Pushing the Envelope for Depth-Based Semi-Supervised 3D Hand Pose Estimation with Consistency Training Mohammad Rezaei Farnaz Farahanipad Alex Dillhoff V. Athitsos 3DH 60 2 0 27 Mar 2023
EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based Cross-Subject Emotion Recognition Rushuang Zhou Weishan Ye Zhiguo Zhang Yanyang Luo Li Zhang Linling Li G. Huang Yining Dong Yuan Zhang Zhen Liang 41 9 0 27 Mar 2023
Reliability-Adaptive Consistency Regularization for Weakly-Supervised Point Cloud Segmentation Zhonghua Wu Yicheng Wu Guosheng Lin Jianfei Cai 3DPC 39 10 0 09 Mar 2023
Toward Data-Driven Glare Classification and Prediction for Marine Megafauna Survey J. Power Derek Jacoby M. Drouin Guillaume Durand Yvonne Coady Julian Meng 33 1 0 03 Mar 2023
Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extraction Kai Sun Richong Zhang Samuel Mensah Nikolaos Aletras Yongyi Mao Xudong Liu 34 1 0 28 Feb 2023
Novel Class Discovery: an Introduction and Key Concepts Colin Troisemaine V. Lemaire Stéphane Gosselin Alexandre Reiffers-Masson Joachim Flocon-Cholet Sandrine Vaton 69 21 0 22 Feb 2023
Self-improving object detection via disagreement reconciliation Gianluca Scarpellini Stefano Rosa Pietro Morerio Lorenzo Natale Alessio Del Bue ObjD 38 3 0 21 Feb 2023
Linking data separation, visual separation, and classifier performance using pseudo-labeling by contrastive learning B. C. Benato A. X. Falcão A. Telea 33 4 0 06 Feb 2023
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning Hao Chen R. Tao Yue Fan Yidong Wang Jindong Wang Bernt Schiele Xingxu Xie Bhiksha Raj Marios Savvides 38 146 0 26 Jan 2023
Enhancing Self-Training Methods Aswathnarayan Radhakrishnan Jim Davis Zachary Rabin Benjamin Lewis Matthew Scherreik R. Ilin 38 1 0 18 Jan 2023
On Pseudo-Labeling for Class-Mismatch Semi-Supervised Learning Lu Han Han-Jia Ye De-Chuan Zhan 47 6 0 15 Jan 2023
SemPPL: Predicting pseudo-labels for better contrastive representations Matko Bovsnjak Pierre Harvey Richemond Nenad Tomašev Florian Strub Jacob Walker Felix Hill Lars Buesing Razvan Pascanu Charles Blundell Jovana Mitrović SSL VLM 59 9 0 12 Jan 2023
Neighborhood-Regularized Self-Training for Learning with Few Labels Ran Xu Yue Yu Hejie Cui Xuan Kan Yanqiao Zhu Joyce C. Ho Chao Zhang Carl Yang SSL 37 23 0 10 Jan 2023
Cluster-guided Contrastive Graph Clustering Network Xihong Yang Yue Liu Sihang Zhou Siwei Wang Wenxuan Tu Qun Zheng Xinwang Liu Liming Fang En Zhu 55 93 0 03 Jan 2023
Self Meta Pseudo Labels: Meta Pseudo Labels Without The Teacher Kei-Sing Ng Qingchen Wang VLM 34 1 0 27 Dec 2022
Which Pixel to Annotate: a Label-Efficient Nuclei Segmentation Framework Wei Lou Haofeng Li Guanbin Li Xiaoguang Han Xiang Wan 52 26 0 20 Dec 2022
Federated Few-Shot Learning for Mobile NLP Dongqi Cai Shangguang Wang Yaozong Wu F. Lin Mengwei Xu FedML 51 12 0 12 Dec 2022
A soft nearest-neighbor framework for continual semi-supervised learning Zhiqi Kang Enrico Fini Moin Nabi Elisa Ricci Alahari Karteek SSL BDL CLL 49 17 0 09 Dec 2022
Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised Semantic Segmentation Zhen Zhao Lihe Yang Sifan Long Jimin Pi Luping Zhou Jingdong Wang 67 75 0 09 Dec 2022
Dist-PU: Positive-Unlabeled Learning from a Label Distribution Perspective Yunrui Zhao Qianqian Xu Yangbangyan Jiang Peisong Wen Qingming Huang 35 38 0 06 Dec 2022
Progressive Feature Upgrade in Semi-supervised Learning on Tabular Domain Morteza Mohammady Gharasuie Fenjiao Wang 46 0 0 01 Dec 2022
Towards Practical Few-shot Federated NLP Dongqi Cai Yaozong Wu Haitao Yuan Shangguang Wang F. Lin Mengwei Xu FedML 47 6 0 01 Dec 2022
An Empirical Study on the Efficacy of Deep Active Learning for Image Classification Yu Li Mu-Hwa Chen Yannan Liu Daojing He Qiang Xu 55 9 0 30 Nov 2022
NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning Zhongying Deng Rihuan Ke Carola-Bibiane Schonlieb Angelica I Aviles-Rivero 33 0 0 17 Nov 2022
Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive Survey Yuecong Xu Haozhi Cao Zhenghua Chen Xiaoli Li Lihua Xie Jianfei Yang 29 14 0 17 Nov 2022
Dual Class-Aware Contrastive Federated Semi-Supervised Learning Qianling Guo Yong Qi Saiyu Qi Di Wu FedML 37 5 0 16 Nov 2022
cRedAnno+: Annotation Exploitation in Self-Explanatory Lung Nodule Diagnosis Jiahao Lu Chong Yin Kenny Erleben M. B. Nielsen S. Darkner 41 1 0 28 Oct 2022
Polycentric Clustering and Structural Regularization for Source-free Unsupervised Domain Adaptation Xinyu Guan Han Sun Ningzhong Liu Huiyu Zhou 32 2 0 14 Oct 2022
Improving Multi-fidelity Optimization with a Recurring Learning Rate for Hyperparameter Tuning HyunJae Lee Gihyeon Lee Junh-Nam Kim Sungjun Cho Dohyun Kim Donggeun Yoo 44 3 0 26 Sep 2022
DLUNet: Semi-supervised Learning based Dual-Light UNet for Multi-organ Segmentation Haoran Lai Tao Wang Shuoling Zhou SSeg 41 2 0 22 Sep 2022
Learning from Future: A Novel Self-Training Framework for Semantic Segmentation Ye Du Yujun Shen Haochen Wang Jingjing Fei Wei Li Liwei Wu Rui Zhao Zehua Fu Qingjie Liu 49 29 0 15 Sep 2022
Transformer-CNN Cohort: Semi-supervised Semantic Segmentation by the Best of Both Students Xueye Zheng Yuan Luo Hao Wang Chong Fu Lin Wang ViT 46 19 0 06 Sep 2022
Semi-Supervised Semantic Segmentation with Cross Teacher Training Hui Xiao Li Dong Kangkang Song Hao Xu Shuibo Fu Diqun Yan Chengbin Peng 45 26 0 03 Sep 2022
PercentMatch: Percentile-based Dynamic Thresholding for Multi-Label Semi-Supervised Classification Jun Huang Alexander Huang Beatriz C. Guerra Yen-Yun Yu 39 4 0 30 Aug 2022
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey Yanbei Chen Massimiliano Mancini Xiatian Zhu Zeynep Akata 61 115 0 24 Aug 2022
PLMCL: Partial-Label Momentum Curriculum Learning for Multi-Label Image Classification R. Abdelfattah Xin Zhang Zhenyao Wu Xinyi Wu Xiang Wang Song Wang VLM 49 6 0 22 Aug 2022