- Dynamic Few-Shot Visual Learning without Forgetting
- Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting
- Synthesized Feature based Few-Shot Class-Incremental Learning on a Mixture of Subspaces
- Few-Shot Class-Incremental Learning
- Few-Shot Class-Incremental Learning via Relation Knowledge Distillation
- Few-Shot Self Reminder to Overcome Catastrophic Forgetting
- Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learning
- SS-IL: Separated Softmax for Incremental Learning
- Mnemonics Training: Multi-Class Incremental Learning without Forgetting
- PLOP: Learning without Forgetting for Continual Semantic Segmentation
- Reparameterizing Convolutions for Incremental Multi-Task Learning Without Task Interference
- iCaRL: Incremental Classifier and Representation Learning
- Overcoming catastrophic forgetting in neural networks