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Hi there šŸ‘‹

Kthyeon's GitHub stats

Now, Iā€™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).

šŸ“« Working: KAIST AI (Seoul, Korea).

šŸ”­ My Blog: https://taehyeon.oopy.io/

šŸ¤” LinkedIn: https://www.linkedin.com/in/taehyeon-kim-6a1239207/

šŸ’¬ Contact: [email protected], [email protected] (permanant)

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

Taehyeon Kim's Projects

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

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ICLR 2022, "FedBABU: Toward Enhanced Representation for Federated Image Classification"

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[Official] ICML 2022 workshop: Dynamic Neural Networks, Oral Paper, "SUPERNET TRAINING FOR FEDERATED IMAGE CLASSIFICATION UNDER SYSTEM HETEROGENEITY"

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

spec-bench-th icon spec-bench-th

Spec-Bench: A Comprehensive Benchmark and Unified Evaluation Platform for Speculative Decoding

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

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Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads

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