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Achievement: StarstruckAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

Achievements

Achievement: StarstruckAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

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drumpt/README.md

Biography

I am a machine learning researcher at AITRICS, a healthcare AI startup in Korea, where I am fulfilling my alternative military service under Prof. Eunho Yang. For more information, please visit my homepage and feel free to reach out!

Research Interests

  • Out-of-Distribution Generalization
  • Deep Generative Models
  • Statistical Learning Theory

Education

Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea

  • M.S. in Artificial Intelligence, Mar. 2022–Feb. 2024
  • B.S. in Computer Science and Mathematical Sciences, Mar. 2017–Feb. 2022

Professional Experience

AITRICS, Seoul, Korea

  • Machine Learning Researcher, Nov. 2023–Present

KAIST Machine Learning and Intelligence Lab, Daejeon, Korea

  • Master's Student Researcher, Mar. 2022–Feb. 2024
  • Undergraduate Researcher, Jun. 2021–Feb. 2022

DeepNatural, Seoul, Korea

  • Machine Learning Engineer, Sept. 2020–Feb. 2021

KAIST Vehicular Intelligence Lab, Daejeon, Korea

  • Undergraduate Researcher, Oct. 2019–Aug. 2020

Netmarble, Seoul, Korea

  • Data Engineer, Jun. 2019–Aug. 2019

Contact

GitHub Status

Changhun Kim's GitHub stats

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  1. AdapTable AdapTable Public

    Official implementation of AdapTable: Test-Time Adaptation for Tabular Data via Shift-Aware Uncertainty Calibrator and Label Distribution Handler (NeurIPSW-TRL 2024)

    Jupyter Notebook 2

  2. shimazing/CloudFixer shimazing/CloudFixer Public

    Official repository of **CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric Transformation, ECCV'24**

    Python 9 1

  3. SGEM SGEM Public

    Official PyTorch implementation of SGEM: Test-Time Adaptation for Automatic Speech Recognition via Sequential-Level Generalized Entropy Minimization (INTERSPEECH 2023 Oral Presentation)

    Python 32 3