ArXiv TLDR

Tri-Nhan Vo

2 papers · Latest:

Computer Vision

Improving Diversity in Black-box Few-shot Knowledge Distillation

This paper improves black-box few-shot knowledge distillation by using a GAN to generate diverse, high-confidence images, boosting student accuracy.

2604.25795
Machine Learning

Diverse Image Priors for Black-box Data-free Knowledge Distillation

DIP-KD improves black-box data-free knowledge distillation by synthesizing diverse image priors and using a novel primer student for state-of-the-art results.

2604.25794

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