The field of deep learning has witnessed significant progress, particularly in computer vision
(CV), natural language processing (NLP), and speech. The use of large-scale models …

The field of deep learning has witnessed significant progress in recent times, particularly in
areas such as computer vision (CV), natural language processing (NLP), and speech. The …

Recently, sharpness-aware minimization (SAM) has attracted a lot of attention because of its
surprising effectiveness in improving generalization performance. However, training neural …

This paper rethinks Sharpness-Aware Minimization (SAM), which is originally formulated as
a zero-sum game where the weights of a network and a bounded perturbation try to …

As advancements push for larger and more complex Artificial Intelligence (AI) models to
improve performance, preventing the occurrence of overfitting when training …

Sharpness-Aware Minimization (SAM) enhances generalization by reducing a Max-
Sharpness (MaxS). Despite the practical success, we empirically found that the MAxS …

Abstract Contrastive Language-Image Pre-training (CLIP) has shown remarkable success in
the field of multimodal learning by enabling joint understanding of text and images. In this …

In this paper, we propose a novel meta-learning algorithm for learning new tasksfrom a
small number of training samples called Domain Generalization SharpnessAware …