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Taehyeon Kim

 Ph. D. Student Researcher @ Google Research
 Prev: Qualcomm, DynamoFL (YCW22)
 Ph. D. Student @ KAIST AI [OSI Lab]
 Located in Seoul, South Korea
Education
 Ph.D. in Graduate School of AI (KAIST)
 M.S. in Data Science (KAIST)
 B.S. in Mathematical Science [Minor-Intellectual Property] (KAIST)
I am a Ph.D. Student in Optimization & Statistical Inference (OSI) Lab @ KAIST, advised by Prof. Se-Young Yun. I worked as a PhD student researcher @ Google ResearchQualcomm AI, and DynamoFL (YCW22 Startup). My expected graduation date is Aug. 2024.  Contact: potter32 [at] kaist.ac.kr, kimtaehyeon610 [at] gmail.com (permanant)

 About

My goal is to tackle trustworthy and real-world AI/ML challenges
NLP: Instruction Tuning and Following, Parallel Decoding
CV/NLP: Knowledge Distillation & Learning with Noisy Labels
Data & System: Federated Learning & AutoML & Semi-Supervised Learning
Efficiency: Efficient Deep Learning
Game-Changing Research

️ News

Dec. 2023
 1 Accepted @ NeurIPS2023W: Instruction Tuning & Instruction Following
 1 Accepted @ NeurIPS2023: Semi-Supervised Federated Object Detection
 Attending NeurIPS 2023 @ NOLA, US  
 1 Accepted @ AAAI2024: Few-shot & Domain Generalization
Oct. 2023
 Working with Google Research NYC
May. 2023
 Invited to Liner Dev conference
Jan. 2023
 Working with DynamoFL Research Team (YCW22-Startup)

Working at/with

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Name
When
Research
2023.01 - 2023.05
Semi-Supervised Object Detection
Federated Learning
2021.06 - 2021.12
Neural Architecture Search
Knowledge Distillation

 Publications & Technical Reports

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Conference and Journal
Author
COUNT19

Preprints (Under Review)

 Distort, Distract, Decode: Instruction-Tuned Model Can Refine its Response from Noisy Instructions 
Taehyeon Kim*, Joonkee Kim*, Gihun Lee*, Se-Young Yun
 Tackling Heterogeneous Label Noise in Federated Learning with Label-Mixture Regularization
Taehyeon Kim*, Donggyu Kim*, Se-Young Yun
 Overcoming Heterogeneity in Federated Learning with Supernet Training and Parametric Normalization
Taehyeon Kim, Se-Young Yun

 Leadership & Awards &  Activities

 Research Projects

 Invited Talks

 Services & Others

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 Others