ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2207.04564
  4. Cited By
Domain Confused Contrastive Learning for Unsupervised Domain Adaptation

Domain Confused Contrastive Learning for Unsupervised Domain Adaptation

10 July 2022
Quanyu Long
Tianze Luo
Wenya Wang
Sinno Jialin Pan
ArXivPDFHTML

Papers citing "Domain Confused Contrastive Learning for Unsupervised Domain Adaptation"

7 / 7 papers shown
Title
How Useful is Continued Pre-Training for Generative Unsupervised Domain Adaptation?
How Useful is Continued Pre-Training for Generative Unsupervised Domain Adaptation?
Rheeya Uppaal
Yixuan Li
Junjie Hu
25
4
0
31 Jan 2024
Understanding Domain Learning in Language Models Through Subpopulation
  Analysis
Understanding Domain Learning in Language Models Through Subpopulation Analysis
Zheng Zhao
Yftah Ziser
Shay B. Cohen
19
6
0
22 Oct 2022
Improving the Sample Efficiency of Prompt Tuning with Domain Adaptation
Improving the Sample Efficiency of Prompt Tuning with Domain Adaptation
Xu Guo
Boyang Albert Li
Han Yu
VLM
28
22
0
06 Oct 2022
CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for
  Natural Language Understanding
CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding
Yanru Qu
Dinghan Shen
Yelong Shen
Sandra Sajeev
Jiawei Han
Weizhu Chen
121
65
0
16 Oct 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
229
3,029
0
09 Mar 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx)
Out-of-Distribution Generalization via Risk Extrapolation (REx)
David M. Krueger
Ethan Caballero
J. Jacobsen
Amy Zhang
Jonathan Binas
Dinghuai Zhang
Rémi Le Priol
Aaron Courville
OOD
212
888
0
02 Mar 2020
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
Chen Zhu
Yu Cheng
Zhe Gan
S. Sun
Tom Goldstein
Jingjing Liu
AAML
203
430
0
25 Sep 2019
1