HIERMATCH: Leveraging Label Hierarchies for Improving Semi-Supervised Learning

30 October 2021

Papers citing "HIERMATCH: Leveraging Label Hierarchies for Improving Semi-Supervised Learning"

7 / 7 papers shown

Title
Online Continual Learning on Hierarchical Label Expansion Byung Hyun Lee Ok-Cheol Jung Jonghyun Choi S. Chun CLL 36 8 0 28 Aug 2023
Logic-induced Diagnostic Reasoning for Semi-supervised Semantic Segmentation Chen Liang Wenguan Wang Jiaxu Miao Yi Yang NAI 42 29 0 24 Aug 2023
S-JEA: Stacked Joint Embedding Architectures for Self-Supervised Visual Representation Learning Alvzbveta Manová A. Durrant Georgios Leontidis SSL 32 4 0 19 May 2023
SEAL: Simultaneous Label Hierarchy Exploration And Learning Zhi-Hao Tan Zihao Wang Yifan Zhang 56 6 0 26 Apr 2023
Instance-level Few-shot Learning with Class Hierarchy Mining Anh-Khoa Nguyen Vu Thanh-Toan Do Nhat-Duy Nguyen Vinh-Tiep Nguyen T. Ngo Tam V. Nguyen 32 11 0 15 Apr 2023
Learning Hierarchy Aware Features for Reducing Mistake Severity Ashima Garg Depanshu Sani Saket Anand 19 18 0 26 Jul 2022
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 270 1,275 0 06 Mar 2017