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Continual Normalization: Rethinking Batch Normalization for Online
  Continual Learning

Continual Normalization: Rethinking Batch Normalization for Online Continual Learning

30 March 2022
Quang Pham
Chenghao Liu
Guosheng Lin
    BDLOnRL
ArXiv (abs)PDFHTMLGithub (13★)

Papers citing "Continual Normalization: Rethinking Batch Normalization for Online Continual Learning"

37 / 37 papers shown
Title
Rethinking the Stability-Plasticity Trade-off in Continual Learning from an Architectural Perspective
Rethinking the Stability-Plasticity Trade-off in Continual Learning from an Architectural Perspective
Aojun Lu
Hangjie Yuan
Tao Feng
Yanan Sun
56
2
0
04 Jun 2025
Continual Learning Beyond Experience Rehearsal and Full Model Surrogates
Continual Learning Beyond Experience Rehearsal and Full Model Surrogates
Prashant Shivaram Bhat
Laurens Niesten
Elahe Arani
Bahram Zonooz
CLL
15
0
0
28 May 2025
Hybrid Batch Normalisation: Resolving the Dilemma of Batch Normalisation in Federated Learning
Hongyao Chen
Tianyang Xu
Xiaojun Wu
Josef Kittler
FedML
23
0
0
28 May 2025
Human-inspired Perspectives: A Survey on AI Long-term Memory
Human-inspired Perspectives: A Survey on AI Long-term Memory
Zihong He
Weizhe Lin
Hao Zheng
Fan Zhang
Matt Jones
Laurence Aitchison
X. Xu
Miao Liu
Per Ola Kristensson
Junxiao Shen
244
3
0
01 Nov 2024
Dual-CBA: Improving Online Continual Learning via Dual Continual Bias
  Adaptors from a Bi-level Optimization Perspective
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
87
1
0
26 Aug 2024
ER-FSL: Experience Replay with Feature Subspace Learning for Online
  Continual Learning
ER-FSL: Experience Replay with Feature Subspace Learning for Online Continual Learning
Huiwei Lin
CLL
136
0
0
17 Jul 2024
CCSI: Continual Class-Specific Impression for Data-free Class
  Incremental Learning
CCSI: Continual Class-Specific Impression for Data-free Class Incremental Learning
Sana Ayromlou
Teresa S. M. Tsang
Purang Abolmaesumi
Xiaoxiao Li
CLL
61
2
0
09 Jun 2024
Exploring the Evolution of Hidden Activations with Live-Update
  Visualization
Exploring the Evolution of Hidden Activations with Live-Update Visualization
Xianglin Yang
Jin Song Dong
55
0
0
24 May 2024
Integrating Present and Past in Unsupervised Continual Learning
Integrating Present and Past in Unsupervised Continual Learning
Yipeng Zhang
Laurent Charlin
R. Zemel
Mengye Ren
CLL
74
4
0
29 Apr 2024
Revisiting Neural Networks for Continual Learning: An Architectural
  Perspective
Revisiting Neural Networks for Continual Learning: An Architectural Perspective
Aojun Lu
Tao Feng
Hangjie Yuan
Xiaotian Song
Yanan Sun
69
9
0
23 Apr 2024
One-Shot Domain Incremental Learning
One-Shot Domain Incremental Learning
Yasushi Esaki
Satoshi Koide
Takuro Kutsuna
CLLVLM
111
1
0
25 Mar 2024
Expandable Subspace Ensemble for Pre-Trained Model-Based
  Class-Incremental Learning
Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning
Da-Wei Zhou
Hai-Long Sun
Han-Jia Ye
De-Chuan Zhan
CLL
100
61
0
18 Mar 2024
Class-incremental Learning for Time Series: Benchmark and Evaluation
Class-incremental Learning for Time Series: Benchmark and Evaluation
Zhongzheng Qiao
Quang Pham
Zhen Cao
Hoang H Le
Ponnuthurai Nagaratnam Suganthan
Xudong Jiang
Savitha Ramasamy
101
10
0
19 Feb 2024
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
Everton L. Aleixo
J. Colonna
Marco Cristo
Everlandio Fernandes
CLL
114
26
0
16 Dec 2023
Weighted Ensemble Models Are Strong Continual Learners
Weighted Ensemble Models Are Strong Continual Learners
Imad Eddine Marouf
Subhankar Roy
Enzo Tartaglione
Stéphane Lathuilière
CLL
109
22
0
14 Dec 2023
Prior-Free Continual Learning with Unlabeled Data in the Wild
Prior-Free Continual Learning with Unlabeled Data in the Wild
Tao Zhuo
Zhiyong Cheng
Hehe Fan
Mohan S. Kankanhalli
VLMCLL
74
2
0
16 Oct 2023
Overcoming Recency Bias of Normalization Statistics in Continual
  Learning: Balance and Adaptation
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
80
8
0
13 Oct 2023
Factorized Tensor Networks for Multi-Task and Multi-Domain Learning
Factorized Tensor Networks for Multi-Task and Multi-Domain Learning
Yash Garg
Nebiyou Yismaw
Rakib Hyder
Ashley Prater-Bennette
M. Salman Asif
58
2
0
09 Oct 2023
HPCR: Holistic Proxy-based Contrastive Replay for Online Continual Learning
HPCR: Holistic Proxy-based Contrastive Replay for Online Continual Learning
Huiwei Lin
Shanshan Feng
Baoquan Zhang
Xutao Li
Yew-Soon Ong
CLL
131
0
0
26 Sep 2023
SymED: Adaptive and Online Symbolic Representation of Data on the Edge
SymED: Adaptive and Online Symbolic Representation of Data on the Edge
Daniel Hofstätter
Shashikant Ilager
Ivan Lujic
Ivona Brandić
38
3
0
06 Sep 2023
Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free
  Continual Learning
Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual Learning
Filip Szatkowski
Mateusz Pyla
Marcin Przewiȩźlikowski
Sebastian Cygert
Bartlomiej Twardowski
Tomasz Trzciñski
CLL
87
11
0
18 Aug 2023
Class-Incremental Mixture of Gaussians for Deep Continual Learning
Class-Incremental Mixture of Gaussians for Deep Continual Learning
Lukasz Korycki
Bartosz Krawczyk
CLLBDL
58
1
0
09 Jul 2023
Does Continual Learning Equally Forget All Parameters?
Does Continual Learning Equally Forget All Parameters?
Haiyan Zhao
Dinesh Manocha
Guodong Long
Jing Jiang
Chengqi Zhang
CLLKELM
98
14
0
09 Apr 2023
Principles of Forgetting in Domain-Incremental Semantic Segmentation in
  Adverse Weather Conditions
Principles of Forgetting in Domain-Incremental Semantic Segmentation in Adverse Weather Conditions
Tobias Kalb
Jürgen Beyerer
CLL
52
5
0
24 Mar 2023
Revisiting Class-Incremental Learning with Pre-Trained Models:
  Generalizability and Adaptivity are All You Need
Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
Ziwei Liu
CLL
106
111
0
13 Mar 2023
Effects of Architectures on Continual Semantic Segmentation
Effects of Architectures on Continual Semantic Segmentation
Tobias Kalb
Niket Ahuja
Jingxing Zhou
Jürgen Beyerer
CLL
80
3
0
21 Feb 2023
New Insights for the Stability-Plasticity Dilemma in Online Continual
  Learning
New Insights for the Stability-Plasticity Dilemma in Online Continual Learning
Dahuin Jung
Dongjin Lee
Sunwon Hong
Hyemi Jang
Ho Bae
Sungroh Yoon
CLL
62
15
0
17 Feb 2023
A Comprehensive Survey of Continual Learning: Theory, Method and
  Application
A Comprehensive Survey of Continual Learning: Theory, Method and Application
Liyuan Wang
Xingxing Zhang
Hang Su
Jun Zhu
KELMCLL
236
712
0
31 Jan 2023
On the Soft-Subnetwork for Few-shot Class Incremental Learning
On the Soft-Subnetwork for Few-shot Class Incremental Learning
Haeyong Kang
Jaehong Yoon
Sultan Rizky Hikmawan Madjid
Sung Ju Hwang
Chang D. Yoo
CLL
114
44
0
15 Sep 2022
Towards Diverse Evaluation of Class Incremental Learning: A
  Representation Learning Perspective
Towards Diverse Evaluation of Class Incremental Learning: A Representation Learning Perspective
Sungmin Cha
Jihwan Kwak
Dongsub Shim
Hyunwoo J. Kim
Moontae Lee
Honglak Lee
Taesup Moon
CLL
61
1
0
16 Jun 2022
Alleviating Representational Shift for Continual Fine-tuning
Alleviating Representational Shift for Continual Fine-tuning
Shibo Jie
Zhi-Hong Deng
Ziheng Li
CLL
89
11
0
22 Apr 2022
On the Pitfalls of Batch Normalization for End-to-End Video Learning: A
  Study on Surgical Workflow Analysis
On the Pitfalls of Batch Normalization for End-to-End Video Learning: A Study on Surgical Workflow Analysis
Dominik Rivoir
Isabel Funke
Stefanie Speidel
98
19
0
15 Mar 2022
Diagnosing Batch Normalization in Class Incremental Learning
Diagnosing Batch Normalization in Class Incremental Learning
Minghao Zhou
Quanziang Wang
Jun Shu
Qian Zhao
Deyu Meng
CLL
79
6
0
16 Feb 2022
Architecture Matters in Continual Learning
Architecture Matters in Continual Learning
Seyed Iman Mirzadeh
Arslan Chaudhry
Dong Yin
Timothy Nguyen
Razvan Pascanu
Dilan Görür
Mehrdad Farajtabar
OODKELM
170
62
0
01 Feb 2022
Rebalancing Batch Normalization for Exemplar-based Class-Incremental
  Learning
Rebalancing Batch Normalization for Exemplar-based Class-Incremental Learning
Sungmin Cha
Sungjun Cho
Dasol Hwang
Sunwon Hong
Moontae Lee
Taesup Moon
CLL
132
19
0
29 Jan 2022
Task-Specific Normalization for Continual Learning of Blind Image
  Quality Models
Task-Specific Normalization for Continual Learning of Blind Image Quality Models
Weixia Zhang
Kede Ma
Guangtao Zhai
Xiaokang Yang
VLM
103
24
0
28 Jul 2021
CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater
  Sample Efficiency and Simplicity
CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity
Aditya Bhatt
Daniel Palenicek
Boris Belousov
Max Argus
Artemij Amiranashvili
Thomas Brox
Jan Peters
127
57
0
14 Feb 2019
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