Distilling transformers into simple neural networks with unlabeled transfer data论文解读

时间 2021-01-02

标签 NLP 自然语言处理深度学习繁體版

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Distilling transformers into simple neural networks with unlabeled transfer data 论文地址：https://arxiv.org/pdf/1910.01769.pdf motivation 一般来说，蒸馏得到的student模型与teacher模型的准确率还存在差距。文章利用大量in-domain unlabeled t

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1. Weakly supervised object recognition with convolutional neural networks 论文解读
2. 论文--阅读翻译笔记-Reducing the Dimensionality of Data with Neural Networks
3. [论文翻译]Reducing the Dimensionality of Data with Neural Networks
4. 【论文精读】Knowledge Transfer with Jacobian Matching
5. 论文阅读：Incorporating dictionaries into deep neural networks for the Chinese clinical NER
6. SESSION-BASED RECOMMENDATIONS WITH RECURRENT NEURAL NETWORKS论文解读
7. 论文解读Attribute-Enhanced Face Recognition with Neural Tensor Fusion Networks
8. [论文解读]SuperGlue: Learning Feature Matching with Graph Neural Networks
9. [论文解读]TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing
10. Deep Learning 论文解读——Session-based Recommendations with Recurrent Neural Networks

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