This study introduced an efficient method for solving non-linear equations. Our approach enhances the traditional spectral conjugate gradient parameter, resulting in significant improvements in the ...

Abstract: We propose the Natural Gradient Primal-Dual (NGPD) method for decentralized learning of parameters in Deep Neural Networks (DNNs). Conventional approaches, such as the primal-dual method, ...

Interpreting gradient methods as fixed-point iterations, we provide a detailed analysis of those methods for minimizing convex objective functions. Due to their conceptual and algorithmic simplicity, ...

Abstract: The planetary boundary layer height (PBLH) has a significant impact on the energy and material exchange in the atmosphere. The traditional gradient method (GM) determines the PBLH based on ...

Based on the Exponential Moving Average (EMA) method, we have proposed work about how to resist forgetting in various efficient-parameter include prompt, prefix, LoRA with LLaVA-1.5 backbone. Recently ...

How to design scouting gradients, how to use the resulting data to make decisions about next steps, and how to improve the separation once an elution mode has been chosen. With so many options for ...