Nam, Giung

12 publications

ICML 2025 Ensemble Distribution Distillation via Flow Matching Jonggeon Park, Giung Nam, Hyunsu Kim, Jongmin Yoon, Juho Lee

NeurIPS 2025 PANGEA: Projection-Based Augmentation with Non-Relevant General Data for Enhanced Domain Adaptation in LLMs Seungyoo Lee, Giung Nam, Moonseok Choi, Hyungi Lee, Juho Lee

ICLR 2025 Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo Hyunsu Kim, Giung Nam, Chulhee Yun, Hongseok Yang, Juho Lee

ICLR 2024 Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling Hyungi Lee, Giung Nam, Edwin Fong, Juho Lee

NeurIPS 2024 Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems Giung Nam, Juho Lee

ICLR 2024 Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance Giung Nam, Byeongho Heo, Juho Lee

ICLR 2024 Sparse Weight Averaging with Multiple Particles for Iterative Magnitude Pruning Moonseok Choi, Hyungi Lee, Giung Nam, Juho Lee

ICLR 2023 Decoupled Training for Long-Tailed Classification with Stochastic Representations Giung Nam, Sunguk Jang, Juho Lee

ICLR 2023 Martingale Posterior Neural Processes Hyungi Lee, Eunggu Yun, Giung Nam, Edwin Fong, Juho Lee

ICML 2023 Traversing Between Modes in Function Space for Fast Ensembling Eunggu Yun, Hyungi Lee, Giung Nam, Juho Lee

ICML 2022 Improving Ensemble Distillation with Weight Averaging and Diversifying Perturbation Giung Nam, Hyungi Lee, Byeongho Heo, Juho Lee

NeurIPS 2021 Diversity Matters When Learning from Ensembles Giung Nam, Jongmin Yoon, Yoonho Lee, Juho Lee