Continual learning and catastrophic forgetting
Authors:
- Gido M. van de VenGido M. van de Ven
- Nicholas SouresNSNicholas Soures
- Dhireesha KudithipudiDhireesha Kudithipudi
- 28 December 2024
- book chapter
- Published by Elsevier
- p. 153-168
Abstract
No abstract availableAll Related Versions
This publication has 56 references indexed in Scilit:
- Subspace distillation for continual learningNeural Networks, 2023
- A wholistic view of continual learning with deep neural networks: Forgotten lessons and the bridge to active and open world learningNeural Networks, 2023
- A comprehensive study of class incremental learning algorithms for visual tasksNeural Networks, 2021
- Deep learning and cognitive scienceCognition, 2020
- Molecular computation in neurons: a modeling perspectiveCurrent Opinion in Neurobiology, 2014
- Maintaining memories by reactivationCurrent Opinion in Neurobiology, 2007
- A functional hypothesis for adult hippocampal neurogenesis: Avoidance of catastrophic interference in the dentate gyrusHippocampus, 2006
- Lifelong robot learningRobotics and Autonomous Systems, 1995
- Self-improving reactive agents based on reinforcement learning, planning and teachingMachine Learning, 1992
- Natural categoriesCognitive Psychology, 1973