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brianferrell787 authored Oct 8, 2020
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- **BERT for radiological classification**: (["The Utility of General Domain Transfer Learning for Medical Language Tasks"(Ranti et al.)](https://arxiv.org/abs/2002.06670)).

### Adversarial Papers
- **textfooler**: Rule-based Adversarial Attacks (["Is Bert Really Robust?" (Jin et al., 2019)](https://arxiv.org/abs/1907.11932)).
- **TextFooler**: Rule-based Adversarial Attacks (["Is Bert Really Robust?" (Jin et al., 2019)](https://arxiv.org/abs/1907.11932)).

- **bae**: BERT masked language model turned against itself (["BAE: BERT-based Adversarial Examples for Text Classification" (Garg & Ramakrishnan, 2019)](https://arxiv.org/abs/2004.01970)).
- **BAE**: BERT masked language model turned against itself (["BAE: BERT-based Adversarial Examples for Text Classification" (Garg & Ramakrishnan, 2019)](https://arxiv.org/abs/2004.01970)).

- **bert-attack**: BERT masked language model transformation with subword replacement strategy (["BERT-ATTACK: Adversarial Attack Against BERT Using BERT" (Li et al., 2020)](https://arxiv.org/abs/2004.09984)).
- **Bert-Attack**: BERT masked language model transformation with subword replacement strategy (["BERT-ATTACK: Adversarial Attack Against BERT Using BERT" (Li et al., 2020)](https://arxiv.org/abs/2004.09984)).

### How to improve BERT
- **Examining underneath BERT's hood**: (["How to Fine-Tune BERT for Text Classification?"(Sun et al.)](https://arxiv.org/abs/1905.05583)).
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