In the era of foundation models with huge pre-training budgets, the downstream tasks have
been shifted to the narrative of efficient and fast adaptation. For classification-based tasks in …

In an age dominated by resource-intensive foundation models the ability to efficiently adapt
to downstream tasks is crucial. Visual Prompting (VP) drawing inspiration from the prompting …

Abstract Pretrained Deep Neural Networks (DNNs), developed from extensive datasets to
integrate multifaceted knowledge, are increasingly recognized as valuable intellectual …

This thesis delves into the intricate world of Deep Neural Networks (DNNs), focusing on the
exciting concept of the Lottery Ticket Hypothesis (LTH). The LTH posits that within extensive …