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Improving the robustness and accuracy of biomedical language models
  through adversarial training

Improving the robustness and accuracy of biomedical language models through adversarial training

16 November 2021
M. Moradi
Matthias Samwald
    AAML
    OOD
    MedIm
ArXivPDFHTML

Papers citing "Improving the robustness and accuracy of biomedical language models through adversarial training"

4 / 4 papers shown
Title
Post-hoc explanation of black-box classifiers using confident itemsets
Post-hoc explanation of black-box classifiers using confident itemsets
M. Moradi
Matthias Samwald
57
97
0
05 May 2020
PubMedQA: A Dataset for Biomedical Research Question Answering
PubMedQA: A Dataset for Biomedical Research Question Answering
Qiao Jin
Bhuwan Dhingra
Zhengping Liu
William W. Cohen
Xinghua Lu
234
812
0
13 Sep 2019
Generating Natural Language Adversarial Examples
Generating Natural Language Adversarial Examples
M. Alzantot
Yash Sharma
Ahmed Elgohary
Bo-Jhang Ho
Mani B. Srivastava
Kai-Wei Chang
AAML
245
914
0
21 Apr 2018
Adversarial Example Generation with Syntactically Controlled Paraphrase
  Networks
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks
Mohit Iyyer
John Wieting
Kevin Gimpel
Luke Zettlemoyer
AAML
GAN
205
711
0
17 Apr 2018
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