Existing logit-based knowledge distillation methods typically employ singularly deterministic categorical distributions, which eliminates the inherent uncertainty in network predictions and thereby ...

Abstract: This study proposes a knowledge distillation algorithm based on large language models and feature alignment, aiming to effectively transfer the knowledge of large pre-trained models into ...

Abstract: Federated Learning (FL) faces significant challenges in addressing the system heterogeneity of edge devices, which often exhibit diverse computational and resource constraints. To overcome ...

This is the repository for the tutorial Biomedical Knowledge Graphs meet LLM. See the link here This tutorial focuses on the complementary nature of Biomedical Knowledge Graphs (KGs) and Large ...

Julia Kagan is a financial/consumer journalist and former senior editor, personal finance, of Investopedia. Ebony Howard is a certified public accountant and a QuickBooks ProAdvisor tax expert. She ...

The Knowledge Hub provides a single centralized platform for global education data, research and good practices. It provides national-level data, including country profiles that highlight commitments, ...

Taking a private company public through an Initial Public Offering (IPO) is a complex journey involving multiple steps. In India, this transition goes beyond just raising funds. It’s a major milestone ...