most citedPrompting through Prototype: A Prototype-based Prompt Learning on Pretrained Vision-Language Models

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stat.ML2014★ 1 cited

Adaptive Stochastic Gradient Descent on the Grassmannian for Robust Low-Rank Subspace Recovery and Clustering

Jun He, Yue Zhang

In this paper, we present GASG21 (Grassmannian Adaptive Stochastic Gradient for norm minimization), an adaptive stochastic gradient algorithm to robustly recover the low-…