Abstract: Conventional loss functions for gradient descent are designed mainly to assess output quality, with limited attention to gradient behavior. This study identifies the gradient inconsistency ...

Tristan Jurkovich began his career as a journalist in 2011. His childhood love of video games and writing fuel his passion for archiving this great medium’s history. He dabbles in every genre, but ...

ABSTRACT: In this paper, we consider a more general bi-level optimization problem, where the inner objective function is consisted of three convex functions, involving a smooth and two non-smooth ...

ABSTRACT: The Automated Actuarial Pricing and Underwriting Model has been enhanced and expanded through the implementation of Artificial Intelligence to automate three distinct actuarial functions: ...

I worked with Featureplot(blend=T) function fine, but till few weeks ago, it suddenly only have two monochrome for the top values instead of showing gradient ones. The code is as the following and I ...

This repository contains an implementation of the AdamL optimizer, a novel variant of the Adam optimizer that incorporates loss function information to achieve better generalization in deep learning ...

Researchers have made notable strides in training diffusion models using reinforcement learning (RL) to enhance prompt-image alignment and optimize various objectives. Introducing denoising diffusion ...