New Insights on Relieving Task-Recency Bias for Online Class Incremental
Learning

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New Insights on Relieving Task-Recency Bias for Online Class Incremental Learning

16 February 2023

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Papers citing "New Insights on Relieving Task-Recency Bias for Online Class Incremental Learning"

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Title
Multi-level Collaborative Distillation Meets Global Workspace Model: A Unified Framework for OCIL Shibin Su Guoqiang Liang De Cheng Shizhou Zhang Lingyan Ran Yanning Zhang CLL 92 0 0 12 Aug 2025
CalFuse: Feature Calibration Enhanced Parameter Fusion for Class-Continual Learning Jiaxin Guo Xiaoguang Zhu Xiaoguang Zhu Lianlong Sun Liangyu Teng ... Di Li Wei Zhou Liang Song Wei Zhou Liang Song CLL VLM 445 1 0 01 Jul 2025
Balanced Online Class-Incremental Learning via Dual Classifiers Shunjie Wen Thomas Heinis Dong-Wan Choi CLL 238 0 0 29 Apr 2025
Domain-Aware Augmentations for Unsupervised Online General Continual LearningBritish Machine Vision Conference (BMVC), 2023 Nicolas Michel Romain Negrel Giovanni Chierchia J. Bercher CLL 188 3 0 13 Sep 2023
Rethinking Momentum Knowledge Distillation in Online Continual LearningInternational Conference on Machine Learning (ICML), 2023 Nicolas Michel Maorong Wang L. Xiao T. Yamasaki CLL 190 16 0 06 Sep 2023