文獻閱讀：Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language Under
0.背景 機構：微軟亞洲研究院 NLP 組與 SDRG（微軟雷德蒙德語音對話研究組） 做者：Xiaodong Liu、Pengcheng He 發佈地方：arxiv 面向任務：知識蒸餾 論文地址：https://arxiv.org/abs/1904.09482 論文代碼：https://github.com/namisan/mt-dnnhtml 0.摘要 儘管集成學習可以提高模型性能，且目前已被普
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相關文章
- 1. 文獻閱讀：Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language Under
- 2. 深度學習-- > NLP -- > improving multi-task deep neural networks via knowledge distillation for natural
- 3. 論文閱讀 Multi-Task Deep Neural Networks for Natural Language Understanding
- 4. Multi-Task Deep Neural Networks for Natural Language Understanding閱讀筆記
- 5. Awesome Knowledge-Distillation
- 6. CS224d: Deep Learning for Natural Language Process
- 7. Improving Deep Neural Networks
- 8. knowledge distillation 論文閱讀之：Triplet Loss for Knowledge Distillation
- 9. 文獻閱讀 - Binarized Neural Networks
- 10. Learning beyond datasets: Knowledge Graph Augmented Neural Networks for Natural language Processing