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Posterior Differential Regularization with f-divergence for Improving
  Model Robustness

Posterior Differential Regularization with f-divergence for Improving Model Robustness

23 October 2020
Hao Cheng
Xiaodong Liu
L. Pereira
Yaoliang Yu
Jianfeng Gao
ArXivPDFHTML

Papers citing "Posterior Differential Regularization with f-divergence for Improving Model Robustness"

7 / 7 papers shown
Title
Rényi Neural Processes
Rényi Neural Processes
Xuesong Wang
He Zhao
Edwin V. Bonilla
UQCV
BDL
32
0
0
25 May 2024
Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis,
  and LLMs Evaluations
Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs Evaluations
Lifan Yuan
Yangyi Chen
Ganqu Cui
Hongcheng Gao
Fangyuan Zou
Xingyi Cheng
Heng Ji
Zhiyuan Liu
Maosong Sun
32
73
0
07 Jun 2023
State-of-the-art generalisation research in NLP: A taxonomy and review
State-of-the-art generalisation research in NLP: A taxonomy and review
Dieuwke Hupkes
Mario Giulianelli
Verna Dankers
Mikel Artetxe
Yanai Elazar
...
Leila Khalatbari
Maria Ryskina
Rita Frieske
Ryan Cotterell
Zhijing Jin
114
93
0
06 Oct 2022
METRO: Efficient Denoising Pretraining of Large Scale Autoencoding
  Language Models with Model Generated Signals
METRO: Efficient Denoising Pretraining of Large Scale Autoencoding Language Models with Model Generated Signals
Payal Bajaj
Chenyan Xiong
Guolin Ke
Xiaodong Liu
Di He
Saurabh Tiwary
Tie-Yan Liu
Paul N. Bennett
Xia Song
Jianfeng Gao
42
32
0
13 Apr 2022
How Does Adversarial Fine-Tuning Benefit BERT?
How Does Adversarial Fine-Tuning Benefit BERT?
J. Ebrahimi
Hao Yang
Wei Zhang
AAML
18
4
0
31 Aug 2021
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
Learning Robust Representations of Text
Learning Robust Representations of Text
Yitong Li
Trevor Cohn
Timothy Baldwin
OOD
149
15
0
20 Sep 2016
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