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CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for
  Natural Language Understanding

CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding

16 October 2020
Yanru Qu
Dinghan Shen
Yelong Shen
Sandra Sajeev
Jiawei Han
Weizhu Chen
ArXivPDFHTML

Papers citing "CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding"

18 / 18 papers shown
Title
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
Guanyi Mou
Yichuan Li
Kyumin Lee
33
3
0
26 Sep 2024
Heterogeneous Contrastive Learning for Foundation Models and Beyond
Heterogeneous Contrastive Learning for Foundation Models and Beyond
Lecheng Zheng
Baoyu Jing
Zihao Li
Hanghang Tong
Jingrui He
VLM
38
19
0
30 Mar 2024
Enhancing Context Through Contrast
Enhancing Context Through Contrast
Kshitij Ambilduke
Aneesh Shetye
Diksha Bagade
Rishika Bhagwatkar
Khurshed Fitter
P. Vagdargi
Shital S. Chiddarwar
26
0
0
06 Jan 2024
COMICS: End-to-end Bi-grained Contrastive Learning for Multi-face
  Forgery Detection
COMICS: End-to-end Bi-grained Contrastive Learning for Multi-face Forgery Detection
Cong Zhang
H. Qi
Shuhui Wang
Yuezun Li
Siwei Lyu
CVBM
33
6
0
03 Aug 2023
"Nothing Abnormal": Disambiguating Medical Reports via Contrastive
  Knowledge Infusion
"Nothing Abnormal": Disambiguating Medical Reports via Contrastive Knowledge Infusion
Zexue He
An Yan
Amilcare Gentili
Julian McAuley
Chun-Nan Hsu
MedIm
24
2
0
15 May 2023
A Benchmark Study of Contrastive Learning for Arabic Social Meaning
A Benchmark Study of Contrastive Learning for Arabic Social Meaning
Md. Tawkat Islam Khondaker
El Moatez Billah Nagoudi
AbdelRahim Elmadany
Muhammad Abdul-Mageed
L. Lakshmanan
28
3
0
22 Oct 2022
Domain Confused Contrastive Learning for Unsupervised Domain Adaptation
Domain Confused Contrastive Learning for Unsupervised Domain Adaptation
Quanyu Long
Tianze Luo
Wenya Wang
Sinno Jialin Pan
54
8
0
10 Jul 2022
CILDA: Contrastive Data Augmentation using Intermediate Layer Knowledge
  Distillation
CILDA: Contrastive Data Augmentation using Intermediate Layer Knowledge Distillation
Md. Akmal Haidar
Mehdi Rezagholizadeh
Abbas Ghaddar
Khalil Bibi
Philippe Langlais
Pascal Poupart
CLL
30
6
0
15 Apr 2022
Fact Checking with Insufficient Evidence
Fact Checking with Insufficient Evidence
Pepa Atanasova
J. Simonsen
Christina Lioma
Isabelle Augenstein
37
14
0
05 Apr 2022
Contrastive Document Representation Learning with Graph Attention
  Networks
Contrastive Document Representation Learning with Graph Attention Networks
Peng-Tao Xu
Xinchi Chen
Xiaofei Ma
Zhiheng Huang
Bing Xiang
14
9
0
20 Oct 2021
Data Augmentation Approaches in Natural Language Processing: A Survey
Data Augmentation Approaches in Natural Language Processing: A Survey
Bohan Li
Yutai Hou
Wanxiang Che
124
270
0
05 Oct 2021
Efficient Contrastive Learning via Novel Data Augmentation and
  Curriculum Learning
Efficient Contrastive Learning via Novel Data Augmentation and Curriculum Learning
Seonghyeon Ye
Jiseon Kim
Alice H. Oh
CLL
VLM
24
21
0
10 Sep 2021
A Survey on Data Augmentation for Text Classification
A Survey on Data Augmentation for Text Classification
Markus Bayer
M. Kaufhold
Christian A. Reuter
36
334
0
07 Jul 2021
Memory-Efficient Differentiable Transformer Architecture Search
Memory-Efficient Differentiable Transformer Architecture Search
Yuekai Zhao
Li Dong
Yelong Shen
Zhihua Zhang
Furu Wei
Weizhu Chen
ViT
27
17
0
31 May 2021
Supporting Clustering with Contrastive Learning
Supporting Clustering with Contrastive Learning
Dejiao Zhang
Feng Nan
Xiaokai Wei
Shang-Wen Li
Henghui Zhu
Kathleen McKeown
Ramesh Nallapati
Andrew O. Arnold
Bing Xiang
SSL
38
195
0
24 Mar 2021
A Primer on Contrastive Pretraining in Language Processing: Methods,
  Lessons Learned and Perspectives
A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned and Perspectives
Nils Rethmeier
Isabelle Augenstein
SSL
VLM
90
90
0
25 Feb 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
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
6,959
0
20 Apr 2018
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
261
1,275
0
06 Mar 2017
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