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 / 261 papers shown

Title
DoubleMatch: Improving Semi-Supervised Learning with Self-Supervision Erik Wallin Lennart Svensson Fredrik Kahl Lars Hammarstrand SSL 14 12 0 11 May 2022
Select and Calibrate the Low-confidence: Dual-Channel Consistency based Graph Convolutional Networks S. Shi Jian Chen Kai Qiao Shuai Yang Linyuan Wang B. Yan GNN 12 1 0 08 May 2022
FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation Jeffry Wicaksana Zengqiang Yan Dong Zhang Xijie Huang Huimin Wu Xin Yang Kwang-Ting Cheng FedML 30 49 0 04 May 2022
Label a Herd in Minutes: Individual Holstein-Friesian Cattle Identification Jing Gao T. Burghardt Neill D. F. Campbell 9 5 0 22 Apr 2022
SelfD: Self-Learning Large-Scale Driving Policies From the Web Jimuyang Zhang Ruizhao Zhu Eshed Ohn-Bar 13 20 0 21 Apr 2022
Pushing the Performance Limit of Scene Text Recognizer without Human Annotation Caiyuan Zheng Hui Li Seon-Min Rhee Seungju Han Jae-Joon Han Peng Wang 30 12 0 16 Apr 2022
Sim-to-Real 6D Object Pose Estimation via Iterative Self-training for Robotic Bin Picking Kai-xiang Chen Ruizhi Cao Stephen James Yichuan Li Yunhui Liu Pieter Abbeel Qi Dou 3DPC 35 26 0 14 Apr 2022
Unsupervised Prompt Learning for Vision-Language Models Hao Huang Jack Chu Fangyun Wei VPVLM MLLM VLM 36 131 0 07 Apr 2022
Acknowledging the Unknown for Multi-label Learning with Single Positive Labels Donghao Zhou Pengfei Chen Qiong Wang Guangyong Chen Pheng-Ann Heng 17 28 0 30 Mar 2022
Self-Supervised Image Representation Learning with Geometric Set Consistency Nenglun Chen Lei Chu Hao Pan Yan Lu Wenping Wang SSL 36 8 0 29 Mar 2022
Online Continual Learning on a Contaminated Data Stream with Blurry Task Boundaries Jihwan Bang Hyun-woo Koh Seulki Park Hwanjun Song Jung-Woo Ha Jonghyun Choi CLL 27 39 0 29 Mar 2022
UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning Nazmul Karim Mamshad Nayeem Rizve Nazanin Rahnavard Ajmal Saeed Mian M. Shah NoLa 30 98 0 28 Mar 2022
Translation Consistent Semi-supervised Segmentation for 3D Medical Images Yuyuan Liu Yu Tian Chong Wang Yuanhong Chen Fengbei Liu Vasileios Belagiannis G. Carneiro 3DV 21 15 0 28 Mar 2022
MutexMatch: Semi-Supervised Learning with Mutex-Based Consistency Regularization Yue Duan Zhen Zhao Lei Qi Lei Wang Luping Zhou Yinghuan Shi Yang Gao 28 33 0 27 Mar 2022
Semi-FedSER: Semi-supervised Learning for Speech Emotion Recognition On Federated Learning using Multiview Pseudo-Labeling Tiantian Feng Shrikanth Narayanan 30 17 0 15 Mar 2022
Don't fear the unlabelled: safe semi-supervised learning via simple debiasing Hugo Schmutz O. Humbert Pierre-Alexandre Mattei 11 8 0 14 Mar 2022
Revisiting Deep Semi-supervised Learning: An Empirical Distribution Alignment Framework and Its Generalization Bound Feiyu Wang Qin Wang Wen Li Dong Xu Luc Van Gool 19 5 0 13 Mar 2022
End-to-End Semi-Supervised Learning for Video Action Detection Akash Kumar Y. S. Rawat 16 31 0 08 Mar 2022
Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels Yuchao Wang Haochen Wang Yujun Shen Jingjing Fei Wei Li Guoqiang Jin Liwei Wu Rui Zhao Xinyi Le UQCV 22 331 0 08 Mar 2022
An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift Gholamali Aminian Mahed Abroshan Mohammad Mahdi Khalili Laura Toni M. Rodrigues OOD 23 27 0 24 Feb 2022
CLS: Cross Labeling Supervision for Semi-Supervised Learning Yao Yao Ju Shen Jin Xu Bin Zhong Li Xiao 27 3 0 17 Feb 2022
Debiased Self-Training for Semi-Supervised Learning Baixu Chen Junguang Jiang Ximei Wang Pengfei Wan Jianmin Wang Mingsheng Long 32 85 0 15 Feb 2022
Positive-Unlabeled Domain Adaptation Jonas Sonntag Gunnar Behrens Lars Schmidt-Thieme 8 2 0 11 Feb 2022
On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain Adaptation Maohao Shen Yuheng Bu Greg Wornell 127 14 0 01 Feb 2022
Uncertainty-aware Pseudo-label Selection for Positive-Unlabeled Learning Emilio Dorigatti Jann Goschenhofer B. Schubert Mina Rezaei Bernd Bischl 20 3 0 31 Jan 2022
Estimating Egocentric 3D Human Pose in the Wild with External Weak Supervision Jian Wang Lingjie Liu Weipeng Xu Kripasindhu Sarkar D. Luvizon Christian Theobalt EgoV 14 33 0 20 Jan 2022
AcTune: Uncertainty-aware Active Self-Training for Semi-Supervised Active Learning with Pretrained Language Models Yue Yu Lingkai Kong Jieyu Zhang Rongzhi Zhang Chao Zhang 11 3 0 16 Dec 2021
Taming Overconfident Prediction on Unlabeled Data from Hindsight Jing Li Yuangang Pan Ivor W. Tsang 18 1 0 15 Dec 2021
Enhancing Counterfactual Classification via Self-Training Ruijiang Gao Max Biggs Wei-Ju Sun Ligong Han CML OffRL 32 6 0 08 Dec 2021
Reference-guided Pseudo-Label Generation for Medical Semantic Segmentation C. Seibold Simon Reiß Jens Kleesiek Rainer Stiefelhagen MedIm 14 63 0 01 Dec 2021
Weakly-supervised Generative Adversarial Networks for medical image classification Jia-min Mao Xuesong Yin Yuan Chang Qi Huang GAN MedIm 19 1 0 29 Nov 2021
Learning Fair Classifiers with Partially Annotated Group Labels Sangwon Jung Sanghyuk Chun Taesup Moon 65 46 0 29 Nov 2021
Not All Relations are Equal: Mining Informative Labels for Scene Graph Generation A. Goel Basura Fernando Frank Keller Hakan Bilen 30 30 0 26 Nov 2021
Learning from Temporal Gradient for Semi-supervised Action Recognition Junfei Xiao Longlong Jing Lin Zhang Ju He Qi She Zongwei Zhou Alan Yuille Yingwei Li 4 51 0 25 Nov 2021
ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification Fengbei Liu Yu Tian Yuanhong Chen Yuyuan Liu Vasileios Belagiannis G. Carneiro 41 76 0 25 Nov 2021
Semi-Supervised Learning with Taxonomic Labels Jong-Chyi Su Subhransu Maji 41 10 0 23 Nov 2021
Combating Noise: Semi-supervised Learning by Region Uncertainty Quantification Zhenyu Wang Yali Li Ye Guo Shengjin Wang NoLa 15 27 0 01 Nov 2021
Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances Shibo Zhang Yaxuan Li Shen Zhang Farzad Shahabi S. Xia Yuanbei Deng N. Alshurafa BDL 23 295 0 31 Oct 2021
Combining Diverse Feature Priors Saachi Jain Dimitris Tsipras A. Madry 64 14 0 15 Oct 2021
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling Bowen Zhang Yidong Wang Wenxin Hou Hao Wu Jindong Wang Manabu Okumura T. Shinozaki AAML 237 862 0 15 Oct 2021
A Closer Look at Advantage-Filtered Behavioral Cloning in High-Noise Datasets J. E. Grigsby Yanjun Qi OffRL 16 5 0 10 Oct 2021
Automated Feature-Specific Tree Species Identification from Natural Images using Deep Semi-Supervised Learning Dewald Homan J. D. Preez 15 12 0 08 Oct 2021
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration Xiao Wang Hongrui Liu Chuan Shi Cheng Yang UQCV 109 113 0 29 Sep 2021
Mutual Consistency Learning for Semi-supervised Medical Image Segmentation Yicheng Wu Z. Ge Donghao Zhang Minfeng Xu Lei Zhang Yong-quan Xia Jianfei Cai OOD SSL 77 230 0 21 Sep 2021
Semi-supervised classification of radiology images with NoTeacher: A Teacher that is not Mean Balagopal Unnikrishnan C. Nguyen Shafa Balaram Chao Li Chuan-Sheng Foo Pavitra Krishnaswamy 4 8 0 10 Aug 2021
Semi-Supervised Hypothesis Transfer for Source-Free Domain Adaptation Ning Ma Jiajun Bu Lixian Lu Jun Wen Zhen Zhang Sheng Zhou Xifeng Yan TTA 132 5 0 14 Jul 2021
Uncertainty-Guided Mixup for Semi-Supervised Domain Adaptation without Source Data Ning Ma Jiajun Bu Zhen Zhang Sheng Zhou TTA 24 13 0 14 Jul 2021
Learning from Crowds with Sparse and Imbalanced Annotations Ye Shi Shao-Yuan Li Sheng-Jun Huang 19 5 0 11 Jul 2021
Self-training Converts Weak Learners to Strong Learners in Mixture Models Spencer Frei Difan Zou Zixiang Chen Quanquan Gu 35 17 0 25 Jun 2021
Credal Self-Supervised Learning Julian Lienen Eyke Hüllermeier SSL 22 21 0 22 Jun 2021