Domain Adversarial Fine-Tuning as an Effective Regularizer

28 September 2020

Papers citing "Domain Adversarial Fine-Tuning as an Effective Regularizer"

8 / 8 papers shown

Title
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future Linyi Yang Y. Song Xuan Ren Chenyang Lyu Yidong Wang Lingqiao Liu Jindong Wang Jennifer Foster Yue Zhang OOD 34 2 0 23 May 2023
Learning List-Level Domain-Invariant Representations for Ranking Ruicheng Xian Honglei Zhuang Zhen Qin Hamed Zamani Jing Lu Ji Ma Kai Hui Han Zhao Xuanhui Wang Michael Bendersky OOD 45 9 0 21 Dec 2022
Domain Adaptation in Multilingual and Multi-Domain Monolingual Settings for Complex Word Identification George-Eduard Zaharia Razvan-Alexandru Smadu Dumitru-Clementin Cercel M. Dascalu 27 3 0 15 May 2022
Measure and Improve Robustness in NLP Models: A Survey Xuezhi Wang Haohan Wang Diyi Yang 139 130 0 15 Dec 2021
Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representations Ji Xin Chenyan Xiong A. Srinivasan Ankita Sharma Damien Jose Paul N. Bennett VLM 83 41 0 14 Oct 2021
FreeLB: Enhanced Adversarial Training for Natural Language Understanding Chen Zhu Yu Cheng Zhe Gan S. Sun Tom Goldstein Jingjing Liu AAML 223 438 0 25 Sep 2019
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 6,956 0 20 Apr 2018
Word Translation Without Parallel Data Alexis Conneau Guillaume Lample MarcÁurelio Ranzato Ludovic Denoyer Hervé Jégou 174 1,635 0 11 Oct 2017