Few-shot learner parameterization by diffusion time-steps
Even when using large multi-modal foundation models, few-shot learning is still challenging—if there is no proper inductive bias, it is nearly impossible to keep the nuanced class attributes while removing the visually prominent attributes that spuriously correlate with class labels. To this end, we...
Saved in:
Main Authors: | , , , , |
---|---|
格式: | text |
語言: | English |
出版: |
Institutional Knowledge at Singapore Management University
2024
|
主題: | |
在線閱讀: | https://ink.library.smu.edu.sg/sis_research/9019 https://ink.library.smu.edu.sg/context/sis_research/article/10022/viewcontent/2024_CVPR_few_shot.pdf |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
機構: | Singapore Management University |
語言: | English |
成為第一個發表評論!