Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models

13 September 2021

Papers citing "Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models"

8 / 8 papers shown

Title
Evaluation Metrics for Text Data Augmentation in NLP Marcellus Amadeus William Alberto Cruz Castañeda 38 1 0 09 Feb 2024
Test-Time Adaptation with Perturbation Consistency Learning Yi Su Yixin Ji Juntao Li Hai Ye Hao Fei VLM 42 2 0 25 Apr 2023
EPiDA: An Easy Plug-in Data Augmentation Framework for High Performance Text Classification Minyi Zhao Lu Zhang Yi Xu Jiandong Ding Jihong Guan Shuigeng Zhou VLM 49 10 0 24 Apr 2022
Robust Encodings: A Framework for Combating Adversarial Typos Erik Jones Robin Jia Aditi Raghunathan Percy Liang AAML 142 102 0 04 May 2020
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
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 258 915 0 21 Apr 2018
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 299 6,984 0 20 Apr 2018
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,842 0 08 Jul 2016