Diagnosing Batch Normalization in Class Incremental Learning

16 February 2022

Papers citing "Diagnosing Batch Normalization in Class Incremental Learning"

6 / 6 papers shown

Title
Dual-CBA: Improving Online Continual Learning via Dual Continual Bias Adaptors from a Bi-level Optimization Perspective Quanziang Wang Renzhen Wang Yichen Wu Xixi Jia Minghao Zhou Deyu Meng 23 1 0 26 Aug 2024
Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation Yilin Lyu Liyuan Wang Xingxing Zhang Zicheng Sun Hang Su Jun Zhu Liping Jing 27 8 0 13 Oct 2023
Class-Incremental Mixture of Gaussians for Deep Continual Learning Lukasz Korycki Bartosz Krawczyk CLL BDL 13 1 0 09 Jul 2023
New Insights for the Stability-Plasticity Dilemma in Online Continual Learning Dahuin Jung Dongjin Lee Sunwon Hong Hyemi Jang Ho Bae Sungroh Yoon CLL 19 14 0 17 Feb 2023
TaskNorm: Rethinking Batch Normalization for Meta-Learning J. Bronskill Jonathan Gordon James Requeima Sebastian Nowozin Richard E. Turner 54 89 0 06 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,659 0 09 Mar 2017