Few-shot learner parameterization by diffusion time-steps

• المؤلفون الرئيسيون: YUE, Zhongqi, ZHOU, Pan, HONG, Richang, ZHANG, Hanwang, SUN Qianru
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2024
• الموضوعات: Graphics and Human Computer Interfaces
• الوصول للمادة أونلاين: 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

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...