Search Results for author: Jiadi Jiang

Found 2 papers, 2 papers with code

AGD: an Auto-switchable Optimizer using Stepwise Gradient Difference for Preconditioning Matrix

1 code implementation NeurIPS 2023 Yun Yue, Zhiling Ye, Jiadi Jiang, Yongchao Liu, Ke Zhang

Additionally, we introduce an auto-switching function that enables the preconditioning matrix to switch dynamically between Stochastic Gradient Descent (SGD) and the adaptive optimizer.

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Sharpness-Aware Minimization Revisited: Weighted Sharpness as a Regularization Term

1 code implementation25 May 2023 Yun Yue, Jiadi Jiang, Zhiling Ye, Ning Gao, Yongchao Liu, Ke Zhang

Deep Neural Networks (DNNs) generalization is known to be closely related to the flatness of minima, leading to the development of Sharpness-Aware Minimization (SAM) for seeking flatter minima and better generalization.

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