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Representation learning for deep clustering and few-shot learning

MBZUAI · Notable

Research LLM CV MBZUAI Few-shot Learning

Summary

Michael Kampffmeyer from UiT The Arctic University of Norway presented a talk at MBZUAI on representation learning for deep clustering and few-shot learning. The talk covered deep clustering in multi-view settings and the influence of geometrical representation properties on few-shot classification performance. He specifically discussed embedding representations on the hypersphere and its connection to the hubness phenomenon. Why it matters: This highlights MBZUAI's role in hosting discussions on advanced machine learning topics like few-shot learning, which are crucial for addressing data scarcity challenges in the region and beyond.

Keywords

representation learning · deep clustering · few-shot learning · MBZUAI · hypersphere

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