LINDA: Unsupervised Learning to Interpolate in Natural Language Processing

28 December 2021

Papers citing "LINDA: Unsupervised Learning to Interpolate in Natural Language Processing"

9 / 9 papers shown

Title
Enhancing Effectiveness and Robustness in a Low-Resource Regime via Decision-Boundary-aware Data Augmentation Kyohoon Jin Junho Lee Juhwan Choi Sangmin Song Youngbin Kim 45 0 0 22 Mar 2024
AutoAugment Is What You Need: Enhancing Rule-based Augmentation Methods in Low-resource Regimes Juhwan Choi Kyohoon Jin Junho Lee Sangmin Song Youngbin Kim 32 1 0 08 Feb 2024
PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation Gaurav Sahu Olga Vechtomova Dzmitry Bahdanau I. Laradji VLM 60 24 0 22 Oct 2023
Blind Biological Sequence Denoising with Self-Supervised Set Learning Nathan Ng Ji Won Park Jae Hyeon Lee Ryan Lewis Kelly Stephen Ra Kyunghyun Cho BDL 18 0 0 04 Sep 2023
PLACES: Prompting Language Models for Social Conversation Synthesis Maximillian Chen Alexandros Papangelis Chenyang Tao Seokhwan Kim Andrew Rosenbaum Yang Liu Zhou Yu Dilek Z. Hakkani-Tür 37 77 0 07 Feb 2023
DoubleMix: Simple Interpolation-Based Data Augmentation for Text Classification Hui Chen Wei Han Diyi Yang Soujanya Poria 28 12 0 12 Sep 2022
Consistency Training with Virtual Adversarial Discrete Perturbation Jungsoo Park Gyuwan Kim Jaewoo Kang 38 15 0 15 Apr 2021
Data Augmentation using Pre-trained Transformer Models Varun Kumar Ashutosh Choudhary Eunah Cho VLM 219 315 0 04 Mar 2020
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 309 7,005 0 20 Apr 2018