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EMPL: A novel Efficient Meta Prompt Learning Framework for Few-shot
  Unsupervised Domain Adaptation

EMPL: A novel Efficient Meta Prompt Learning Framework for Few-shot Unsupervised Domain Adaptation

4 July 2024
Wanqi Yang
Haoran Wang
Lei Wang
Ge Song
Yang Gao
ArXivPDFHTML

Papers citing "EMPL: A novel Efficient Meta Prompt Learning Framework for Few-shot Unsupervised Domain Adaptation"

5 / 5 papers shown
Title
Diversity-Aware Meta Visual Prompting
Diversity-Aware Meta Visual Prompting
Qidong Huang
Xiaoyi Dong
Dongdong Chen
Weiming Zhang
Feifei Wang
Gang Hua
Neng H. Yu
VLM
VPVLM
36
52
0
14 Mar 2023
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
322
2,108
0
02 Sep 2021
Few-shot Unsupervised Domain Adaptation with Image-to-class Sparse
  Similarity Encoding
Few-shot Unsupervised Domain Adaptation with Image-to-class Sparse Similarity Encoding
Sheng Huang
Wanqi Yang
Lei Wang
Luping Zhou
Ming Yang
23
8
0
06 Aug 2021
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Luca Franceschi
P. Frasconi
Saverio Salzo
Riccardo Grazzi
Massimiliano Pontil
96
714
0
13 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
237
11,568
0
09 Mar 2017
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