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. 2406.09353
  4. Cited By
Enhancing Domain Adaptation through Prompt Gradient Alignment

Enhancing Domain Adaptation through Prompt Gradient Alignment

13 June 2024
Hoang Phan
Lam C. Tran
Quyen Tran
Trung Le
ArXivPDFHTML

Papers citing "Enhancing Domain Adaptation through Prompt Gradient Alignment"

11 / 11 papers shown
Title
Prompt-Tuning Can Be Much Better Than Fine-Tuning on Cross-lingual
  Understanding With Multilingual Language Models
Prompt-Tuning Can Be Much Better Than Fine-Tuning on Cross-lingual Understanding With Multilingual Language Models
Lifu Tu
Caiming Xiong
Yingbo Zhou
VLM
AAML
LRM
92
26
0
22 Oct 2022
Ask Me Anything: A simple strategy for prompting language models
Ask Me Anything: A simple strategy for prompting language models
Simran Arora
A. Narayan
Mayee F. Chen
Laurel J. Orr
Neel Guha
Kush S. Bhatia
Ines Chami
Frederic Sala
Christopher Ré
ReLM
LRM
190
160
0
05 Oct 2022
Information-Theoretic Analysis of Unsupervised Domain Adaptation
Information-Theoretic Analysis of Unsupervised Domain Adaptation
Ziqiao Wang
Yongyi Mao
30
11
0
03 Oct 2022
Multi-Prompt Alignment for Multi-Source Unsupervised Domain Adaptation
Multi-Prompt Alignment for Multi-Source Unsupervised Domain Adaptation
Haoran Chen
Xintong Han
Zuxuan Wu
Yu-Gang Jiang
69
25
0
30 Sep 2022
Do Current Multi-Task Optimization Methods in Deep Learning Even Help?
Do Current Multi-Task Optimization Methods in Deep Learning Even Help?
Derrick Xin
Behrooz Ghorbani
Ankush Garg
Orhan Firat
Justin Gilmer
MoMe
50
61
0
23 Sep 2022
Stochastic Training is Not Necessary for Generalization
Stochastic Training is Not Necessary for Generalization
Jonas Geiping
Micah Goldblum
Phillip E. Pope
Michael Moeller
Tom Goldstein
76
67
0
29 Sep 2021
Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias
  in Image Search
Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search
Jialu Wang
Yang Liu
X. Wang
FaML
132
67
0
12 Sep 2021
Learning to Prompt for Vision-Language Models
Learning to Prompt for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VPVLM
CLIP
VLM
319
2,108
0
02 Sep 2021
Gradient Matching for Domain Generalization
Gradient Matching for Domain Generalization
Yuge Shi
Jeffrey S. Seely
Philip H. S. Torr
Siddharth Narayanaswamy
Awni Y. Hannun
Nicolas Usunier
Gabriel Synnaeve
OOD
202
246
0
20 Apr 2021
An Investigation of Why Overparameterization Exacerbates Spurious
  Correlations
An Investigation of Why Overparameterization Exacerbates Spurious Correlations
Shiori Sagawa
Aditi Raghunathan
Pang Wei Koh
Percy Liang
128
368
0
09 May 2020
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
149
8,353
0
28 May 2015
1