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Targeted Adversarial Training for Natural Language Understanding

Targeted Adversarial Training for Natural Language Understanding

12 April 2021
L. Pereira
Xiaodong Liu
Hao Cheng
Hoifung Poon
Jianfeng Gao
Ichiro Kobayashi
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Papers citing "Targeted Adversarial Training for Natural Language Understanding"

5 / 5 papers shown
Title
Domain Confused Contrastive Learning for Unsupervised Domain Adaptation
Domain Confused Contrastive Learning for Unsupervised Domain Adaptation
Quanyu Long
Tianze Luo
Wenya Wang
Sinno Jialin Pan
57
8
0
10 Jul 2022
Sharpness-Aware Minimization with Dynamic Reweighting
Sharpness-Aware Minimization with Dynamic Reweighting
Wenxuan Zhou
Fangyu Liu
Huan Zhang
Muhao Chen
AAML
19
8
0
16 Dec 2021
How Does Adversarial Fine-Tuning Benefit BERT?
How Does Adversarial Fine-Tuning Benefit BERT?
J. Ebrahimi
Hao Yang
Wei Zhang
AAML
26
4
0
31 Aug 2021
Posterior Differential Regularization with f-divergence for Improving
  Model Robustness
Posterior Differential Regularization with f-divergence for Improving Model Robustness
Hao Cheng
Xiaodong Liu
L. Pereira
Yaoliang Yu
Jianfeng Gao
248
31
0
23 Oct 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
299
6,984
0
20 Apr 2018
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