PercentMatch: Percentile-based Dynamic Thresholding for Multi-Label Semi-Supervised Classification

30 August 2022

Papers citing "PercentMatch: Percentile-based Dynamic Thresholding for Multi-Label Semi-Supervised Classification"

6 / 6 papers shown

Title
Semi-Supervised Learning for Multi-Label Cardiovascular Diseases Prediction:A Multi-Dataset Study Rushuang Zhou Lei Lu Zijun Liu Ting Xiang Zhen Liang David A. Clifton Yining Dong Yuanyuan Zhang 41 10 0 18 Jun 2023
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning Yidong Wang Hao Chen Qiang Heng Wenxin Hou Yue Fan ... Marios Savvides T. Shinozaki Bhiksha Raj Bernt Schiele Xing Xie 185 258 0 15 May 2022
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling Bowen Zhang Yidong Wang Wenxin Hou Hao Wu Jindong Wang Manabu Okumura T. Shinozaki AAML 231 862 0 15 Oct 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning Mamshad Nayeem Rizve Kevin Duarte Y. S. Rawat M. Shah 220 508 0 15 Jan 2021
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation Zhedong Zheng Yi Yang NoLa 188 497 0 08 Mar 2020
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 261 1,275 0 06 Mar 2017