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@MLAI-Yonsei

MLAI lab @ Yonsei University

README.md

Machine Learning and Artificial Intelligence Lab (MLAI Lab)

The Machine Learning and Artificial Intelligence Lab (MLAI Lab) at Yonsei University focuses on understanding the context of real-world data to enhance generalization.
We are actively recruiting students and researchers (e.g., postdocs) with a deep interest in ML and AI.
👉 Visit MLAI Lab Homepage

Research Areas

  • Trustworthy AI
  • Agentic AI
  • Generative Models
  • Bayesian Neural Networks
  • Causal Representation Learning
  • Mechanistic Interpretability
  • Multi-Modal Learning
  • Graph Representation Learning
  • Recommender Systems
  • Medical AI

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  1. CaRot CaRot Public

    source code for NeurIPS'24 paper "Towards Calibrated Robust Fine-Tuning of Vision-Language Models"

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  2. UCD UCD Public

    Code Implementation for Uncertainty Aware Contrastive Decoding

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  3. FarconVAE FarconVAE Public

    source code for KDD'22 paper "Learning Fair Representation via Distributional Contrastive Disentanglement"

    Python 2

  4. CED CED Public

    source code for EMNLP findings'24 paper "CED: Comparing Embedding Differences for Detecting Out-of-Distribution and Hallucinated Text"

    Python 2

  5. SIL-ASGDRO SIL-ASGDRO Public

    The code for the paper, Sufficient Invariant Learning for Distribution Shift.

    Python 2

  6. MQFP MQFP Public

    source code for the paper "Multi-Query Frequency Prompting for Physiological Signal Domain Adaptation"

    Python 1

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