Experience Replay Addresses Loss of Plasticity in Continual Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Jiuqi, Chandra, Rohan, Zhang, Shangtong |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Replay4NCL: An Efficient Memory Replay-based Methodology for Neuromorphic Continual Learning in Embedded AI Systems
by: Minhas, Mishal Fatima, et al.
Published: (2025)
by: Minhas, Mishal Fatima, et al.
Published: (2025)
t-DGR: A Trajectory-Based Deep Generative Replay Method for Continual Learning in Decision Making
by: Yue, William, et al.
Published: (2024)
by: Yue, William, et al.
Published: (2024)
Beyond Single-Model Optimization: Preserving Plasticity in Continual Reinforcement Learning
by: Lillo, Lute, et al.
Published: (2026)
by: Lillo, Lute, et al.
Published: (2026)
Compressed Latent Replays for Lightweight Continual Learning on Spiking Neural Networks
by: Dequino, Alberto, et al.
Published: (2024)
by: Dequino, Alberto, et al.
Published: (2024)
SNAP: Stopping Catastrophic Forgetting in Hebbian Learning with Sigmoidal Neuronal Adaptive Plasticity
by: Xu, Tianyi, et al.
Published: (2024)
by: Xu, Tianyi, et al.
Published: (2024)
Meta-Learning Loss Functions for Deep Neural Networks
by: Raymond, Christian
Published: (2024)
by: Raymond, Christian
Published: (2024)
Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks
by: Xiao, Mingqing, et al.
Published: (2024)
by: Xiao, Mingqing, et al.
Published: (2024)
A Truly Sparse and General Implementation of Gradient-Based Synaptic Plasticity
by: Lohoff, Jamie, et al.
Published: (2025)
by: Lohoff, Jamie, et al.
Published: (2025)
Bayes-CATSI: A variational Bayesian deep learning framework for medical time series data imputation
by: Kulkarni, Omkar, et al.
Published: (2024)
by: Kulkarni, Omkar, et al.
Published: (2024)
Enabling Robust In-Context Memory and Rapid Task Adaptation in Transformers with Hebbian and Gradient-Based Plasticity
by: Chaudhary, Siddharth
Published: (2025)
by: Chaudhary, Siddharth
Published: (2025)
NORACL: Neurogenesis for Oracle-free Resource-Adaptive Continual Learning
by: Raghunathan, Karthik Charan, et al.
Published: (2026)
by: Raghunathan, Karthik Charan, et al.
Published: (2026)
TACOS: Task Agnostic Continual Learning in Spiking Neural Networks
by: Soures, Nicholas, et al.
Published: (2024)
by: Soures, Nicholas, et al.
Published: (2024)
Continual Learning with Neuromorphic Computing: Foundations, Methods, and Emerging Applications
by: Minhas, Mishal Fatima, et al.
Published: (2024)
by: Minhas, Mishal Fatima, et al.
Published: (2024)
Flat Channels to Infinity in Neural Loss Landscapes
by: Martinelli, Flavio, et al.
Published: (2025)
by: Martinelli, Flavio, et al.
Published: (2025)
LANCE: Low Rank Activation Compression for Efficient On-Device Continual Learning
by: Apolinario, Marco Paul E., et al.
Published: (2025)
by: Apolinario, Marco Paul E., et al.
Published: (2025)
CLANE: Continual Learning of Actions on Neuromorphic Hardware from Event Cameras
by: Hajizada, Elvin, et al.
Published: (2026)
by: Hajizada, Elvin, et al.
Published: (2026)
Neuromorphic Continual Learning for Sequential Deployment of Nuclear Plant Monitoring Systems
by: Roy, Samrendra, et al.
Published: (2026)
by: Roy, Samrendra, et al.
Published: (2026)
DL101 Neural Network Outputs and Loss Functions
by: Berzal, Fernando
Published: (2025)
by: Berzal, Fernando
Published: (2025)
Graph Network Models To Detect Illicit Transactions In Block Chain
by: Adloori, Hrushyang, et al.
Published: (2024)
by: Adloori, Hrushyang, et al.
Published: (2024)
Gradient-Free Continual Learning in Spiking Neural Networks via Inter-Spike Interval Regularization
by: Roy, Samrendra, et al.
Published: (2026)
by: Roy, Samrendra, et al.
Published: (2026)
CLASSP: a Biologically-Inspired Approach to Continual Learning through Adjustment Suppression and Sparsity Promotion
by: Ludwig, Oswaldo
Published: (2024)
by: Ludwig, Oswaldo
Published: (2024)
Ken Utilization Layer: Hebbian Replay Within a Student's Ken for Adaptive Exercise Recommendation
by: Kuling, Grey, et al.
Published: (2025)
by: Kuling, Grey, et al.
Published: (2025)
CoEvo: Continual Evolution of Symbolic Solutions Using Large Language Models
by: Guo, Ping, et al.
Published: (2024)
by: Guo, Ping, et al.
Published: (2024)
When Does Structure Matter in Continual Learning? Dimensionality Controls When Modularity Shapes Representational Geometry
by: Korte, Kathrin, et al.
Published: (2026)
by: Korte, Kathrin, et al.
Published: (2026)
Enhancing Cross Entropy with a Linearly Adaptive Loss Function for Optimized Classification Performance
by: Shim, Jae Wan
Published: (2025)
by: Shim, Jae Wan
Published: (2025)
Deep Oscillatory Neural Network
by: Rohan, Nurani Rajagopal, et al.
Published: (2024)
by: Rohan, Nurani Rajagopal, et al.
Published: (2024)
Continuous Spiking Graph Neural Networks
by: Yin, Nan, et al.
Published: (2024)
by: Yin, Nan, et al.
Published: (2024)
Learning to Reduce Search Space for Generalizable Neural Routing Solver
by: Zhou, Changliang, et al.
Published: (2025)
by: Zhou, Changliang, et al.
Published: (2025)
RMAAT: Astrocyte-Inspired Memory Compression and Replay for Efficient Long-Context Transformers
by: Mia, Md Zesun Ahmed, et al.
Published: (2026)
by: Mia, Md Zesun Ahmed, et al.
Published: (2026)
On the Temperature of Machine Learning Systems
by: Zhang, Dong
Published: (2024)
by: Zhang, Dong
Published: (2024)
Time Makes Space: Emergence of Place Fields in Networks Encoding Temporally Continuous Sensory Experiences
by: Wang, Zhaoze, et al.
Published: (2024)
by: Wang, Zhaoze, et al.
Published: (2024)
STAER: Temporal Aligned Rehearsal for Continual Spiking Neural Network
by: Gianferrari, Matteo, et al.
Published: (2026)
by: Gianferrari, Matteo, et al.
Published: (2026)
Learning Graph Quantized Tokenizers
by: Wang, Limei, et al.
Published: (2024)
by: Wang, Limei, et al.
Published: (2024)
Space-Time Continuous PDE Forecasting using Equivariant Neural Fields
by: Knigge, David M., et al.
Published: (2024)
by: Knigge, David M., et al.
Published: (2024)
LLM-Meta-SR: In-Context Learning for Evolving Selection Operators in Symbolic Regression
by: Zhang, Hengzhe, et al.
Published: (2025)
by: Zhang, Hengzhe, et al.
Published: (2025)
CDRL: A Reinforcement Learning Framework Inspired by Cerebellar Circuits and Dendritic Computational Strategies
by: Zhang, Sibo, et al.
Published: (2026)
by: Zhang, Sibo, et al.
Published: (2026)
Offline Model-Based Optimization by Learning to Rank
by: Tan, Rong-Xi, et al.
Published: (2024)
by: Tan, Rong-Xi, et al.
Published: (2024)
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
by: Li, Jintang, et al.
Published: (2023)
by: Li, Jintang, et al.
Published: (2023)
Learning from Emergence: A Study on Proactively Inhibiting the Monosemantic Neurons of Artificial Neural Networks
by: Wang, Jiachuan, et al.
Published: (2023)
by: Wang, Jiachuan, et al.
Published: (2023)
Graph Memory Learning: Imitating Lifelong Remembering and Forgetting of Brain Networks
by: Miao, Jiaxing, et al.
Published: (2024)
by: Miao, Jiaxing, et al.
Published: (2024)
Similar Items
-
Replay4NCL: An Efficient Memory Replay-based Methodology for Neuromorphic Continual Learning in Embedded AI Systems
by: Minhas, Mishal Fatima, et al.
Published: (2025) -
t-DGR: A Trajectory-Based Deep Generative Replay Method for Continual Learning in Decision Making
by: Yue, William, et al.
Published: (2024) -
Beyond Single-Model Optimization: Preserving Plasticity in Continual Reinforcement Learning
by: Lillo, Lute, et al.
Published: (2026) -
Compressed Latent Replays for Lightweight Continual Learning on Spiking Neural Networks
by: Dequino, Alberto, et al.
Published: (2024) -
SNAP: Stopping Catastrophic Forgetting in Hebbian Learning with Sigmoidal Neuronal Adaptive Plasticity
by: Xu, Tianyi, et al.
Published: (2024)