Yaoliang Yu

A new approach enhances contrastive learning through varied divergence measures.

Exploring the threats posed by indiscriminate data poisoning in self-supervised learning.

Learn how network quantization makes models more efficient for limited-resource devices.

Exploring how generative models can subtly infringe copyright laws.

Introducing new methods to improve forgetting processes in contrastive learning models.

A study on adapting strategies in games with limited information.

Learn about data protection methods and threats in the machine learning landscape.