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@DataCondensation-Capstone
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BAE-JEEON/README.md

Hi there 👋

Hi, I’m Je-Eon Bae, a student to become a machine learning engineer.

My goal is to become an engineer who maximizes economic and societal value through machine learning. To achieve this goal, I am researching to make machine learning technology more accessible to people from all backgrounds.

Currently, my research is focused on two specific areas: Data-efficient Learning and Interpretable neural networks.

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  1. Adaptive-Regularization-Loss Adaptive-Regularization-Loss Public

    Adaptive Regularization Loss for Improving Quality of Pseudo-label in Class Imbalanced Semi-Supervised Learning

    Python 3

  2. Imbalance-Loss Imbalance-Loss Public

    Imbalance Loss with the Statistical Properties of Pseudo-labels in Class Imbalanced Semi-Supervised Learning

    Python

  3. Unbiased-Teacher-with-Adaptive-EMA Unbiased-Teacher-with-Adaptive-EMA Public

    Python 1

  4. CBM_resnet CBM_resnet Public

    Concept Bottleneck Model based on Resnet

    Python