ml:catastrophic_forgetting

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Table of Contents

Catastrophic Forgetting
- Overviews
- Papers
  - In NLP
- Related Pages

Catastrophic Forgetting

Catastrophic forgetting is when a neural network is trained to do one task but loses that ability when trained to do a second task.

Overviews

Kirkpatrick et al 2016 - Overcoming catastrophic forgetting in neural networks
Wang et al 2023 - A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning
2023 - Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy

Papers

In NLP

Related Pages

Continual Learning

ml/catastrophic_forgetting.1738370523.txt.gz · Last modified: 2025/02/01 00:42 by jmflanig