Incremental Few-Shot Learning with Attention Attractor Networks
https://www.jianshu.com/p/fdd4f78bcf0b 多倫多大學提出注意式吸引器網絡，實現漸進式少量次學習 引言 通常，機器學習分類器的訓練目標是識別一組預定義的類別，但是很多應用往往需要機器學習能通過有限的數據靈活地學習額外的概念，而且無需在整個訓練集上重新訓練。 這篇論文提出的漸進式少量次學習（incremental few-shot learning）能夠解決這個
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相關文章
- 1. GRAPH2SEQ: GRAPH TO SEQUENCE LEARNING WITH ATTENTION-BASED NEURAL NETWORKS
- 2. 《Incremental Classifier Learning with Generative Adversarial Networks》 閱讀筆記
- 3. Sutskever2014_Sequence to Sequence Learning with Neural Networks
- 4. Few-shot Learning with Graph Neural Networks
- 5. Paper：Sequence to Sequence Learning with Neural Networks
- 6. 論文筆記：Learning Social Image Embedding with Deep Multimodal Attention Networks
- 7. Learning Transferable Features with Deep Adaptation Networks
- 8. Partial Transfer Learning with Selective Adversarial Networks
- 9. FlowNet: Learning Optical Flow with Convolutional Networks
- 10. Few-Shot Learning with Graph Neural Networks