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...
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| Main Authors: | , , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2024
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| Subjects: | |
| Online Access: | 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 |
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| Institution: | Singapore Management University |
| Language: | English |