Giung Nam

According to our database, Giung Nam authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling.

Hyungi Lee, Giung Nam, Edwin Fong, Juho Lee

CoRR, 2024

2023

SWAMP: Sparse Weight Averaging with Multiple Particles for Iterative Magnitude Pruning.

Moonseok Choi, Hyungi Lee, Giung Nam, Juho Lee

CoRR, 2023

Traversing Between Modes in Function Space for Fast Ensembling.

Eunggu Yun, Hyungi Lee, Giung Nam, Juho Lee

Proceedings of the International Conference on Machine Learning, 2023

Decoupled Training for Long-Tailed Classification With Stochastic Representations.

Giung Nam, Sunguk Jang, Juho Lee

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Martingale Posterior Neural Processes.

Hyungi Lee, Eunggu Yun, Giung Nam, Edwin Fong, Juho Lee

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Improving Ensemble Distillation With Weight Averaging and Diversifying Perturbation.

Giung Nam, Hyungi Lee, Byeongho Heo, Juho Lee

Proceedings of the International Conference on Machine Learning, 2022

2021

Diversity Matters When Learning From Ensembles.

Giung Nam, Jongmin Yoon, Yoonho Lee, Juho Lee

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021