In the rapidly advancing realm of visual generation, diffusion models have revolutionized the
landscape, marking a significant shift in capabilities with their impressive text-guided …

Structured pruning is a widely used technique for reducing the size of pre-trained language
models (PLMs), but current methods often overlook the potential of compressing the hidden …

Diffusion models (DMs) are a type of potential generative models, which have achieved
better effects in many fields than traditional methods. DMs consist of two main processes …

Recent advancements in generative models have significantly impacted content creation,
leading to the emergence of Personalized Content Synthesis (PCS). With a small set of user …

While real-world applications of reinforcement learning are becoming popular, the security
and robustness of RL systems are worthy of more attention and exploration. In particular …

Despite their high accuracy, complex neural networks demand significant computational
resources, posing challenges for deployment on resource-constrained devices such as …

Deep neural networks have grown to be the most widely adopted models to solve most
computer vision and natural language processing tasks. Since the renewed interest …