Reducing and Exploiting Data Augmentation Noise through Meta Reweighting
Contrastive Learning for Text Classification

Reducing and Exploiting Data Augmentation Noise through Meta Reweighting Contrastive Learning for Text Classification

26 September 2024

Guanyi Mou

Yichuan Li

Kyumin Lee

Papers citing "Reducing and Exploiting Data Augmentation Noise through Meta Reweighting Contrastive Learning for Text Classification"

5 / 5 papers shown

Title
CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding Yanru Qu Dinghan Shen Yelong Shen Sandra Sajeev Jiawei Han Weizhu Chen 123 65 0 16 Oct 2020
Data Augmentation using Pre-trained Transformer Models Varun Kumar Ashutosh Choudhary Eunah Cho VLM 209 315 0 04 Mar 2020
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 233 909 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 294 6,927 0 20 Apr 2018
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 241 13,283 0 25 Aug 2014