论文笔记：Insights from the Future for Continual Learning
文章目录 Abstract Introduction Setting Ghost model Base model for continual learning Capacitating ghost model for future classes Generator Complete classifier Latent-space regularization Complete strategy
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相关文章
- 1. 【论文笔记】Learning from Synthetic Data for Crowd Counting in the Wild
- 2. continual learning
- 3. Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions论文笔记
- 4. 论文笔记：Learning task-oriented grasping for tool manipulation from simulated self-supervision
- 5. 【论文笔记】Continual Relation Learning via Episodic Memory Activation and Reconsolidation
- 6. 【论文笔记】Learning Deconvolution Network for Semantic Segmentation
- 7. 论文笔记《LEARNING SPARQL QUERIES FROM EXPECTED RESULTS》
- 8. Learning from Monocular Videos 论文笔记(转)
- 9. 论文笔记：Learning Denoising from Single Noisy Images
- 10. 论文理解—— Disentangle-based Continual Graph Representation Learning