文献阅读：Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language Under
0.背景 机构：微软亚洲研究院 NLP 组与 SDRG（微软雷德蒙德语音对话研究组） 做者：Xiaodong Liu、Pengcheng He 发布地方：arxiv 面向任务：知识蒸馏 论文地址：https://arxiv.org/abs/1904.09482 论文代码：https://github.com/namisan/mt-dnnhtml 0.摘要 尽管集成学习可以提高模型性能，且目前已被普
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相关文章
- 1. 文献阅读：Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language Under
- 2. 深度学习-- > NLP -- > improving multi-task deep neural networks via knowledge distillation for natural
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- 4. Multi-Task Deep Neural Networks for Natural Language Understanding阅读笔记
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