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Maintaining Plasticity in Deep Continual Learning
v1v2v3 (latest)

Maintaining Plasticity in Deep Continual Learning

23 June 2023
Shibhansh Dohare
J. F. Hernandez-Garcia
Parash Rahman
A. Rupam Mahmood
Richard S. Sutton
    KELMCLL
ArXiv (abs)PDFHTMLHuggingFace (1 upvotes)

Papers citing "Maintaining Plasticity in Deep Continual Learning"

18 / 18 papers shown
Title
Sparsity-Driven Plasticity in Multi-Task Reinforcement Learning
Sparsity-Driven Plasticity in Multi-Task Reinforcement Learning
Aleksandar Todorov
Juan Cardenas-Cartagena
Rafael F. Cunha
Marco Zullich
Matthia Sabatelli
CLL
96
1
0
09 Aug 2025
Reinitializing weights vs units for maintaining plasticity in neural networks
Reinitializing weights vs units for maintaining plasticity in neural networks
J. F. Hernandez-Garcia
Shibhansh Dohare
Jun Luo
R. Sutton
CLL
205
0
0
31 Jul 2025
Revisiting Clustering of Neural Bandits: Selective Reinitialization for Mitigating Loss of Plasticity
Revisiting Clustering of Neural Bandits: Selective Reinitialization for Mitigating Loss of Plasticity
Zhiyuan Su
Sunhao Dai
Xiao Zhang
178
0
0
14 Jun 2025
Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing Churn
Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing Churn
Hongyao Tang
J. Obando-Ceron
Pablo Samuel Castro
Aaron Courville
Glen Berseth
150
3
0
31 May 2025
Merge then Realign: Simple and Effective Modality-Incremental Continual Learning for Multimodal LLMs
Merge then Realign: Simple and Effective Modality-Incremental Continual Learning for Multimodal LLMs
Dingkun Zhang
Shuhan Qi
Xinyu Xiao
Kehai Chen
Xuan Wang
CLLMoMe
257
0
0
08 Mar 2025
Hyperspherical Normalization for Scalable Deep Reinforcement Learning
Hyperspherical Normalization for Scalable Deep Reinforcement Learning
Hojoon Lee
Youngdo Lee
Takuma Seno
Donghu Kim
Peter Stone
Jaegul Choo
394
9
0
21 Feb 2025
Lightweight Online Adaption for Time Series Foundation Model Forecasts
Lightweight Online Adaption for Time Series Foundation Model Forecasts
Thomas L. Lee
William Toner
Rajkarn Singh
Artjom Joosem
Martin Asenov
AI4TS
413
2
0
18 Feb 2025
Activation by Interval-wise Dropout: A Simple Way to Prevent Neural Networks from Plasticity Loss
Activation by Interval-wise Dropout: A Simple Way to Prevent Neural Networks from Plasticity Loss
Sangyeon Park
Isaac Han
Seungwon Oh
Kyung-Joong Kim
359
5
0
03 Feb 2025
Self-Normalized Resets for Plasticity in Continual Learning
Self-Normalized Resets for Plasticity in Continual LearningInternational Conference on Learning Representations (ICLR), 2024
Vivek F. Farias
Adam D. Jozefiak
CLL
264
4
0
26 Oct 2024
Remove Symmetries to Control Model Expressivity and Improve Optimization
Remove Symmetries to Control Model Expressivity and Improve OptimizationInternational Conference on Learning Representations (ICLR), 2024
Liu Ziyin
Yizhou Xu
Isaac Chuang
AAML
453
4
0
28 Aug 2024
Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion
Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion
Achref Jaziri
Etienne Kunzel
Visvanathan Ramesh
CLL
305
1
0
19 Aug 2024
No Representation, No Trust: Connecting Representation, Collapse, and
  Trust Issues in PPO
No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO
Skander Moalla
Andrea Miele
Razvan Pascanu
Çağlar Gülçehre
235
16
0
01 May 2024
Addressing Loss of Plasticity and Catastrophic Forgetting in Continual
  Learning
Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning
Mohamed Elsayed
A. Rupam Mahmood
CLL
288
36
0
31 Mar 2024
Directions of Curvature as an Explanation for Loss of Plasticity
Directions of Curvature as an Explanation for Loss of Plasticity
Alex Lewandowski
Haruto Tanaka
Dale Schuurmans
Marlos C. Machado
383
16
0
30 Nov 2023
Towards Robust Continual Learning with Bayesian Adaptive Moment
  Regularization
Towards Robust Continual Learning with Bayesian Adaptive Moment Regularization
Jack Foster
Alexandra Brintrup
CLL
315
1
0
15 Sep 2023
Maintaining Plasticity in Continual Learning via Regenerative
  Regularization
Maintaining Plasticity in Continual Learning via Regenerative Regularization
Saurabh Kumar
Henrik Marklund
Benjamin Van Roy
CLLKELM
290
34
0
23 Aug 2023
Utility-based Perturbed Gradient Descent: An Optimizer for Continual
  Learning
Utility-based Perturbed Gradient Descent: An Optimizer for Continual Learning
Mohamed Elsayed
A. R. Mahmood
CLL
193
8
0
07 Feb 2023
Adaptive Rational Activations to Boost Deep Reinforcement Learning
Adaptive Rational Activations to Boost Deep Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2021
Quentin Delfosse
P. Schramowski
Martin Mundt
Alejandro Molina
Kristian Kersting
338
22
0
18 Feb 2021
1