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Toward Adversarial Training on Contextualized Language Representation

Toward Adversarial Training on Contextualized Language Representation

8 May 2023
Hongqiu Wu
Yong Liu
Han Shi
Haizhen Zhao
Mengdi Zhang
    AAML
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Papers citing "Toward Adversarial Training on Contextualized Language Representation"

7 / 7 papers shown
Title
Instruction-Driven Game Engines on Large Language Models
Instruction-Driven Game Engines on Large Language Models
Hongqiu Wu
Xing-Chen Liu
Haizhen Zhao
Min Zhang
34
1
0
30 Mar 2024
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
232
438
0
25 Sep 2019
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam
Mohammad Emtiyaz Khan
Didrik Nielsen
Voot Tangkaratt
Wu Lin
Y. Gal
Akash Srivastava
ODL
74
266
0
13 Jun 2018
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
297
6,959
0
20 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
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
233
674
0
17 Feb 2018
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
278
31,267
0
16 Jan 2013
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