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Achievement: Pull SharkAchievement: StarstruckAchievement: Arctic Code Vault Contributor

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Kthyeon/README.md

Hi there 👋

Kthyeon's GitHub stats

Now, I’m a Ph D Student in Optimization and Statistical Inference Lab OSI (Advisor: Se-Young Yun, KAIST).

I worked as a PhD student researcher @ Google Research, Qualcomm AI, and DynamoFL (YCW22 selected startup).

📫 Working: KAIST AI (Seoul, Korea).

🔭 My Blog: https://taehyeon.oopy.io/

🤔 LinkedIn: https://www.linkedin.com/in/taehyeon-kim-6a1239207/

💬 Contact: potter32@kaist.ac.kr, kimtaehyeon610@gmail.com (permanant)

I am a research scientist! Feel free to contact me!

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  1. FINE_official FINE_official Public

    NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"

    Python 39 14

  2. jhoon-oh/kd_data jhoon-oh/kd_data Public

    IJCAI 2021, "Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation"

    Jupyter Notebook 39 6

  3. KAIST-AI-NeurIPS2019-MicroNet-2nd-place-solution KAIST-AI-NeurIPS2019-MicroNet-2nd-place-solution Public

    NeurIPSCD2019, MicroNet Challenge hosted by Google, Deepmind Researcher, "Efficient Model for Image Classification With Regularization Tricks".

    Python 26 7

  4. ssfod ssfod Public

    [Official] NeurIPS 2023, "Navigating Data Heterogeneity in Federated Learning: A Semi-Supervised Approach for Object Detection"

    Shell 20

  5. joonkeekim/Instructive-Decoding joonkeekim/Instructive-Decoding Public

    Official repository of "Distort, Distract, Decode: Instruction-Tuned Model Can Refine its Response from Noisy Instructions", ICLR 2024 Spotlight

    Python 20

  6. dnn_orthogonality dnn_orthogonality Public

    [IEEE Access 2022] Revisiting Orthogonality Regularization: A Study for Convolutional Neural Networks in Image Classification

    Jupyter Notebook 7