A science-based weight loss protocol designed to help men lose fat, preserve muscle, and improve metabolic health ...

Abstract: Object detection is a fundamental task in computer vision and supports more complex tasks, such as object tracking and trajectory prediction. Despite significant advancements in deep ...

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 ...

Honda is recalling more than 70,000 US vehicles over a loss of brake function, which could increase the risk of a crash or injury, auto safety regulators said Wednesday. The recall includes certain ...

Researchers have developed a gene therapy that significantly slowed motor function loss in preclinical models of amyotrophic lateral sclerosis (ALS), offering new hope for treating the devastating ...

This is a proposal to include some new functionalities in the repository. Firstly, we would include our novel method, submitted to NeurIPS 2025 (soon to go on arxiv), called Primal Dual Unlearning.

ABSTRACT: Accurate histological classification of lung cancer in CT images is essential for diagnosis and treatment planning. In this study, we propose a vision transformer (ViT) model with two-stage ...

Thank you for your great work! I have a question regarding a technical detail in the implementation of the Negative Preference Optimization (NPO). In the paper, the NPO loss involves taking the ...