Machine Learning Lab

The Machine Learning Lab at Yonsei University is a research group in the Department of Statistics and Data Science and the Department of Artificial Intelligence, led by Prof. Kibok Lee. Our goal is to advance robust deep learning under distribution shifts, facilitating reliable and successful deployment of foundation models in real-world applications. We are currently working on the following research topics:

• Foundation Models

  • Vision-Language Models (VLMs)

  • Vision-Language-Action Models (VLAs)

  • Time Series Foundation Models (TSFMs)

• Learning

  • Confidence Calibration

  • Representation Learning

• Generalization and Adaptation

  • Out-of-Distribution Generalization

  • Continual Learning

  • Test-Time Adaptation

• Model Evaluation and Selection

  • AutoEval (Automated Model Evaluation, Autonomous Evaluation, ...)

  • Model Selection

We are looking for highly motivated students with a strong interest in the area of machine/deep learning and its applications to various domains, such as computer vision, natural language processing, time series, and tabular data. If you are interested, please read the "How to Join?" tab and contact me. For more information about our lab, please refer to the materials in the "Links" tab.