Robby T. Tan

Semantic Segmentation in Multiple Adverse Weather Conditions with Domain Knowledge Retention

2024 · Proceedings of the AAAI Conference on Artificial Intelligence

Semantic segmentation's performance is often compromised when applied to unlabeled adverse weather conditions. Unsupervised domain adaptation is a potential approach to enhancing the model's adaptability and robustness to adverse weather. However, existing methods encounter difficulties …

Representation Learning of Structured Data for Medical Foundation Models

2024 · arXiv (Cornell University)

Large Language Models (LLMs) have demonstrated remarkable performance across various domains, including healthcare. However, their ability to effectively represent structured non-textual data, such as the alphanumeric medical codes used in records like ICD-10 or SNOMED-CT, …