ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2108.13602
  4. Cited By
How Does Adversarial Fine-Tuning Benefit BERT?

How Does Adversarial Fine-Tuning Benefit BERT?

31 August 2021
J. Ebrahimi
Hao Yang
Wei Zhang
    AAML
ArXivPDFHTML

Papers citing "How Does Adversarial Fine-Tuning Benefit BERT?"

8 / 8 papers shown
Title
Predicting Fine-Tuning Performance with Probing
Predicting Fine-Tuning Performance with Probing
Zining Zhu
Soroosh Shahtalebi
Frank Rudzicz
30
9
0
13 Oct 2022
The Rediscovery Hypothesis: Language Models Need to Meet Linguistics
The Rediscovery Hypothesis: Language Models Need to Meet Linguistics
Vassilina Nikoulina
Maxat Tezekbayev
Nuradil Kozhakhmet
Madina Babazhanova
Matthias Gallé
Z. Assylbekov
31
8
0
02 Mar 2021
BERT & Family Eat Word Salad: Experiments with Text Understanding
BERT & Family Eat Word Salad: Experiments with Text Understanding
Ashim Gupta
Giorgi Kvernadze
Vivek Srikumar
205
73
0
10 Jan 2021
UnNatural Language Inference
UnNatural Language Inference
Koustuv Sinha
Prasanna Parthasarathi
Joelle Pineau
Adina Williams
216
80
0
30 Dec 2020
Out of Order: How Important Is The Sequential Order of Words in a
  Sentence in Natural Language Understanding Tasks?
Out of Order: How Important Is The Sequential Order of Words in a Sentence in Natural Language Understanding Tasks?
Thang M. Pham
Trung Bui
Long Mai
Anh Totti Nguyen
214
122
0
30 Dec 2020
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
245
31
0
23 Oct 2020
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
Chen Zhu
Yu Cheng
Zhe Gan
S. Sun
Tom Goldstein
Jingjing Liu
AAML
223
437
0
25 Sep 2019
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
261
3,109
0
04 Nov 2016
1