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Balanced Adversarial Training: Balancing Tradeoffs between Fickleness
  and Obstinacy in NLP Models
v1v2v3 (latest)

Balanced Adversarial Training: Balancing Tradeoffs between Fickleness and Obstinacy in NLP Models

20 October 2022
Hannah Chen
Yangfeng Ji
David Evans
    SILMAAML
ArXiv (abs)PDFHTML

Papers citing "Balanced Adversarial Training: Balancing Tradeoffs between Fickleness and Obstinacy in NLP Models"

2 / 2 papers shown
Title
Training Image Derivatives: Increased Accuracy and Universal Robustness
Training Image Derivatives: Increased Accuracy and Universal Robustness
V. Avrutskiy
86
0
0
21 Oct 2023
A Survey on Out-of-Distribution Evaluation of Neural NLP Models
A Survey on Out-of-Distribution Evaluation of Neural NLP Models
Xinzhe Li
Ming Liu
Shang Gao
Wray Buntine
74
20
0
27 Jun 2023
1