Continual Learning 經典方法：Memory Aware Synapses (MAS)
1. 顧名思義 Synapses 是神經元的突觸，在人腦中負責連接不同神經元結構。Hebb’s rule 表示在腦生理學中，突觸連接常常滿足 「Fire Together, Wire Together」，即同時被**或者同時失活。所以不同的任務對應潛在的不同突觸——不同的記憶，因此選擇**或者改變某些神經元突觸即可稱爲 Memory Aware Synapses (MAS)。在基於深度模型的終身學
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相關文章
- 1. continual learning
- 2. 【Continual Learning】Encoder Based Lifelong Learning
- 3. 論文《Unsupervised Continual Learning And Self-Taught Associative Memory Hierarchies》解讀
- 4. 【論文筆記】Continual Relation Learning via Episodic Memory Activation and Reconsolidation
- 5. 持續學習 (continual learning/ life-long learning)詳解
- 6. 論文理解—— Disentangle-based Continual Graph Representation Learning
- 7. ECCV2020又一經典之作 | Residual Continual Learning（文末附論文下載）
- 8. 臺大李宏毅PPT：什麼是 Lifelong learning, Continual Learning, Never Ending Learning, Incremental Learning，CL
- 9. Continual learning of context-dependent processing in neural networks
- 10. 【李宏毅2020 ML/DL】P106 More about Life Long Learning