The rapid growth of Large Language Models (LLMs) has been a driving force in
transforming various domains, reshaping the artificial general intelligence landscape …

We present DREAM a novel training framework representing Diffusion Rectification and
Estimation-Adaptive Models requiring minimal code changes (just three lines) yet …

Large Language Models (LLMs) have transformed the landscape of artificial intelligence,
while their enormous size presents significant challenges in terms of computational costs …

Compressing a predefined deep neural network (DNN) into a compact sub-network with
competitive performance is crucial in the efficient machine learning realm. This topic spans …

Face attribute editing plays a pivotal role in various applications. However, existing methods
encounter challenges in achieving high-quality results while preserving identity, editing …