- Overcoming catastrophic forgetting in neural networks
- Progressive Neural Networks
- Learning without Forgetting
- iCaRL: Incremental Classifier and Representation Learning
- Encoder Based Lifelong Learning
- Continual Learning with Deep Generative Replay
- Gradient Episodic Memory for Continual Learning
- Overcoming Catastrophic Forgetting by Incremental Moment Matching
- Variational Continual Learning
- Overcoming Catastrophic Forgetting with Hard Attention to the Task
- Progress and Compress: A scalable framework for continual learning
- Memory Aware Synapses: Learning what (not) to forget
- Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence
- Lifelong Learning via Progressive Distillation and Retrospection
- Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights
- End-to-End Incremental Learning
- Towards Robust Evaluations of Continual Learning
- Continual Learning Through Synaptic Intelligence