Mixup-Transformer: Dynamic Data Augmentation for NLP Tasks

Mixup-Transformer: Dynamic Data Augmentation for NLP Tasks

5 October 2020

Lichao Sun

Philip S. Yu

Papers citing "Mixup-Transformer: Dynamic Data Augmentation for NLP Tasks"

8 / 8 papers shown

Title
Exploring Representation-Level Augmentation for Code Search Haochen Li Steven C. H. Hoi Cyril Leung Yanxian Huang Yuan Huang Hongyu Zhang Yanlin Wang 53 19 0 21 Oct 2022
Multi-Level Fine-Tuning, Data Augmentation, and Few-Shot Learning for Specialized Cyber Threat Intelligence Markus Bayer Tobias Frey Christian A. Reuter AAML 24 15 0 22 Jul 2022
MixAugment & Mixup: Augmentation Methods for Facial Expression Recognition Andreas Psaroudakis D. Kollias 21 37 0 09 May 2022
A Data Cartography based MixUp for Pre-trained Language Models Seohong Park Cornelia Caragea 16 6 0 06 May 2022
STEMM: Self-learning with Speech-text Manifold Mixup for Speech Translation Qingkai Fang Rong Ye Lei Li Yang Feng Mingxuan Wang 35 95 0 20 Mar 2022
Isotonic Data Augmentation for Knowledge Distillation Wanyun Cui Sen Yan 29 6 0 03 Jul 2021
User Preference-aware Fake News Detection Yingtong Dou Kai Shu Congyin Xia Philip S. Yu Lichao Sun 19 246 0 25 Apr 2021
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