In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning

15 January 2021

Papers citing "In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning"

50 / 74 papers shown

Title
Uncertainty Quantification for Machine Learning in Healthcare: A Survey L. J. L. Lopez Shaza Elsharief Dhiyaa Al Jorf Firas Darwish Congbo Ma Farah E. Shamout 101 0 0 04 May 2025
HDC: Hierarchical Distillation for Multi-level Noisy Consistency in Semi-Supervised Fetal Ultrasound Segmentation Tran Quoc Khanh Le Nguyen Lan Vi Vu Ha-Hieu Pham Xuan-Loc Huynh T. Nguyen Minh Huu Nhat Le Quan Nguyen Hien Nguyen 43 0 0 14 Apr 2025
STiL: Semi-supervised Tabular-Image Learning for Comprehensive Task-Relevant Information Exploration in Multimodal Classification Siyi Du Xinzhe Luo D. O’Regan Chen Qin 62 0 0 08 Mar 2025
Provable Weak-to-Strong Generalization via Benign Overfitting David X. Wu A. Sahai 65 6 0 06 Oct 2024
Do not trust what you trust: Miscalibration in Semi-supervised Learning Shambhavi Mishra Balamurali Murugesan Ismail Ben Ayed M. Pedersoli Jose Dolz 43 2 0 22 Mar 2024
Confidence Self-Calibration for Multi-Label Class-Incremental Learning Kaile Du Yifan Zhou Fan Lyu Yuyang Li Chen Lu Guangcan Liu CLL 32 2 0 19 Mar 2024
Semi-Supervised Dialogue Abstractive Summarization via High-Quality Pseudolabel Selection Jianfeng He Hang Su Jason (Jinglun) Cai Igor Shalyminov Hwanjun Song Saab Mansour 24 4 0 06 Mar 2024
Interleaving One-Class and Weakly-Supervised Models with Adaptive Thresholding for Unsupervised Video Anomaly Detection Yongwei Nie Hao Huang Chengjiang Long Qing Zhang Pradipta Maji Hongmin Cai 31 1 0 24 Jan 2024
FlexSSL : A Generic and Efficient Framework for Semi-Supervised Learning Huiling Qin Xianyuan Zhan Yuanxun Li Yu Zheng 22 0 0 28 Dec 2023
Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image Segmentation Qingjie Zeng Yutong Xie Zilin Lu Mengkang Lu Yicheng Wu Yong-quan Xia 31 3 0 20 Nov 2023
Pseudo Label-Guided Data Fusion and Output Consistency for Semi-Supervised Medical Image Segmentation Tao Wang Yuanbin Chen Xinlin Zhang Yuanbo Zhou Junlin Lan Bizhe Bai Tao Tan Min Du Qinquan Gao Tong Tong 24 0 0 17 Nov 2023
Semi-supervised multimodal coreference resolution in image narrations A. Goel Basura Fernando Frank Keller Hakan Bilen 32 3 0 20 Oct 2023
APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection Pei Wang Keqing He Yutao Mou Xiaoshuai Song Yanan Wu Jingang Wang Yunsen Xian Xunliang Cai Weiran Xu 16 3 0 20 Oct 2023
CAST: Cluster-Aware Self-Training for Tabular Data Minwook Kim Juseong Kim Kibeom Kim Giltae Song 33 0 0 10 Oct 2023
Discrepancy Matters: Learning from Inconsistent Decoder Features for Consistent Semi-supervised Medical Image Segmentation Qingjie Zeng Yutong Xie Ziling Lu Mengkang Lu Yong-quan Xia 26 4 0 26 Sep 2023
Adaptive Semi-Supervised Segmentation of Brain Vessels with Ambiguous Labels Fengming Lin Yan Xia Nishant Ravikumar Qiongyao Liu Michael MacRaild Alejandro F Frangi 18 4 0 07 Aug 2023
Monocular 3D Object Detection with LiDAR Guided Semi Supervised Active Learning A. Hekimoglu Michael Schmidt Alvaro Marcos-Ramiro 3DPC 21 10 0 17 Jul 2023
Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment Qijie Ding Jie Yin Daokun Zhang Junbin Gao 56 4 0 05 Jul 2023
Towards Semi-supervised Universal Graph Classification Xiao Luo Yusheng Zhao Yifang Qin Wei Ju Ming Zhang 17 30 0 31 May 2023
All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation Liyao Tang Zhe Chen Shanshan Zhao Chaoyue Wang Dacheng Tao 23 12 0 25 May 2023
Better Zero-Shot Reasoning with Self-Adaptive Prompting Xingchen Wan Ruoxi Sun H. Dai Sercan Ö. Arik Tomas Pfister ReLM OffRL LRM 16 48 0 23 May 2023
Class-Distribution-Aware Pseudo Labeling for Semi-Supervised Multi-Label Learning Ming-Kun Xie Jianxiong Xiao Hao-Zhe Liu Gang Niu Masashi Sugiyama Sheng-Jun Huang 40 16 0 04 May 2023
CiPR: An Efficient Framework with Cross-instance Positive Relations for Generalized Category Discovery Shaozhe Hao Kai Han Kwan-Yee Kenneth Wong 38 16 0 14 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 21 5 0 08 Apr 2023
Complementary Domain Adaptation and Generalization for Unsupervised Continual Domain Shift Learning Won-Yong Cho Jinha Park Taesup Kim CLL 27 5 0 28 Mar 2023
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning Z. Yu Yin Li Yong Jae Lee 21 10 0 13 Mar 2023
Reliability-Adaptive Consistency Regularization for Weakly-Supervised Point Cloud Segmentation Zhonghua Wu Yicheng Wu Guosheng Lin Jianfei Cai 3DPC 27 10 0 09 Mar 2023
Uncertainty-aware Self-training for Low-resource Neural Sequence Labeling J. Wang Chengyu Wang Jun Huang Ming Gao Aoying Zhou BDL UQLM NoLa 37 4 0 17 Feb 2023
Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation Shiman Li Haoran Wang Yucong Meng Chenxi Zhang Zhijian Song 29 6 0 07 Feb 2023
Test-Time Amendment with a Coarse Classifier for Fine-Grained Classification Kanishk Jain Shyamgopal Karthik Vineet Gandhi 19 5 0 01 Feb 2023
Exploiting Completeness and Uncertainty of Pseudo Labels for Weakly Supervised Video Anomaly Detection Chen Zhang Guorong Li Yuankai Qi Shuhui Wang Laiyun Qing Qingming Huang Ming-Hsuan Yang 32 53 0 08 Dec 2022
Progressive Feature Upgrade in Semi-supervised Learning on Tabular Domain Morteza Mohammady Gharasuie Fenjiao Wang 33 0 0 01 Dec 2022
Injecting Domain Knowledge from Empirical Interatomic Potentials to Neural Networks for Predicting Material Properties Zeren Shui Daniel S. Karls Mingjian Wen Ilia Nikiforov E. Tadmor George Karypis 34 7 0 14 Oct 2022
StyLEx: Explaining Style Using Human Lexical Annotations Shirley Anugrah Hayati Kyumin Park Dheeraj Rajagopal Lyle Ungar Dongyeop Kang 20 3 0 14 Oct 2022
BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised Instance Segmentation Tianheng Cheng Xinggang Wang Shaoyu Chen Qian Zhang Wenyu Liu ISeg 33 42 0 11 Oct 2022
Continual Learning with Evolving Class Ontologies Zhiqiu Lin Deepak Pathak Yu-xiong Wang Deva Ramanan Shu Kong CLL 36 9 0 10 Oct 2022
Learning functional sections in medical conversations: iterative pseudo-labeling and human-in-the-loop approach Mengqian Wang Ilya Valmianski X. Amatriain Anitha Kannan 26 2 0 06 Oct 2022
Inducing Data Amplification Using Auxiliary Datasets in Adversarial Training Saehyung Lee Hyungyu Lee AAML 24 2 0 27 Sep 2022
PercentMatch: Percentile-based Dynamic Thresholding for Multi-Label Semi-Supervised Classification Jun Huang Alexander Huang Beatriz C. Guerra Yen-Yun Yu 14 4 0 30 Aug 2022
PLMCL: Partial-Label Momentum Curriculum Learning for Multi-Label Image Classification R. Abdelfattah Xin Zhang Zhenyao Wu Xinyi Wu Xiaofeng Wang Song Wang VLM 31 6 0 22 Aug 2022
Automatically Discovering Novel Visual Categories with Self-supervised Prototype Learning Lu Zhang Lu Qi Xu Yang Hong Qiao Ming Yang Zhiyong Liu SSL 30 3 0 01 Aug 2022
Pseudo-label Guided Cross-video Pixel Contrast for Robotic Surgical Scene Segmentation with Limited Annotations Yang Yu Zixu Zhao Yueming Jin Guangyong Chen Qi Dou Pheng-Ann Heng 23 4 0 20 Jul 2022
Leveraging Action Affinity and Continuity for Semi-supervised Temporal Action Segmentation Guodong Ding Angela Yao 19 17 0 18 Jul 2022
Uncertainty-Aware Learning Against Label Noise on Imbalanced Datasets Yingsong Huang Bing Bai Shengwei Zhao Kun Bai Fei-Yue Wang NoLa 23 43 0 12 Jul 2022
Towards Realistic Semi-Supervised Learning Mamshad Nayeem Rizve Navid Kardan M. Shah 47 44 0 05 Jul 2022
OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning Mamshad Nayeem Rizve Navid Kardan Salman Khan F. Khan M. Shah 31 49 0 05 Jul 2022
On Non-Random Missing Labels in Semi-Supervised Learning Xinting Hu Yulei Niu C. Miao Xiansheng Hua Hanwang Zhang 29 17 0 29 Jun 2022
Test-Time Adaptation for Visual Document Understanding Sayna Ebrahimi Sercan Ö. Arik Tomas Pfister OOD 33 6 0 15 Jun 2022
Alternately Optimized Graph Neural Networks Haoyu Han Xiaorui Liu Haitao Mao Torkamani Ali Feng Shi Victor E. Lee Jiliang Tang GNN 31 8 0 08 Jun 2022
From Keypoints to Object Landmarks via Self-Training Correspondence: A novel approach to Unsupervised Landmark Discovery Dimitrios Mallis Enrique Sanchez Matt Bell Georgios Tzimiropoulos SSL 3DPC 30 6 0 31 May 2022