Online Continual Learning on a Contaminated Data Stream with Blurry Task Boundaries

29 March 2022

Papers citing "Online Continual Learning on a Contaminated Data Stream with Blurry Task Boundaries"

6 / 6 papers shown

Title
Towards Robust Incremental Learning under Ambiguous Supervision Rui Wang Mingxuan Xia Chang Yao Lei Feng Junbo Zhao Gang Chen Haobo Wang CLL 70 0 0 23 Jan 2025
Incrementally Learning Multiple Diverse Data Domains via Multi-Source Dynamic Expansion Model RunQing Wu Fei Ye QiHe Liu Guoxi Huang Jinyu Guo Rongyao Hu CLL 112 0 0 15 Jan 2025
Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning N. Raichur Lucas Heublein Tobias Feigl A. Rügamer Christopher Mutschler Felix Ott CLL BDL 70 7 0 17 May 2024
Online Continual Learning on Hierarchical Label Expansion Byung Hyun Lee Ok-Cheol Jung Jonghyun Choi S. Chun CLL 17 8 0 28 Aug 2023
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 203 501 0 15 Jan 2021
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 244 1,279 0 06 Mar 2017