Follow
Giung Nam
Giung Nam
Verified email at kaist.ac.kr - Homepage
Title
Cited by
Cited by
Year
Diversity matters when learning from ensembles
G Nam, J Yoon, Y Lee, J Lee
Advances in neural information processing systems 34, 8367-8377, 2021
362021
Benefits of stochastic weight averaging in developing neural network radiation scheme for numerical weather prediction
HJ Song, S Roh, J Lee, G Nam, E Yun, J Yoon, PS Kim
Journal of Advances in Modeling Earth Systems 14 (10), e2021MS002921, 2022
82022
Decoupled training for long-tailed classification with stochastic representations
G Nam, S Jang, J Lee
arXiv preprint arXiv:2304.09426, 2023
72023
Improving ensemble distillation with weight averaging and diversifying perturbation
G Nam, H Lee, B Heo, J Lee
arXiv preprint arXiv:2206.15047, 2022
52022
Traversing between modes in function space for fast ensembling
EG Yun, H Lee, G Nam, J Lee
International Conference on Machine Learning, 40555-40577, 2023
22023
Martingale Posterior Neural Processes
H Lee, E Yun, G Nam, E Fong, J Lee
arXiv preprint arXiv:2304.09431, 2023
22023
Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance
G Nam, B Heo, J Lee
arXiv preprint arXiv:2404.00860, 2024
2024
Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling
H Lee, G Nam, E Fong, J Lee
arXiv preprint arXiv:2403.07282, 2024
2024
SWAMP: Sparse Weight Averaging with Multiple Particles for Iterative Magnitude Pruning
M Choi, H Lee, G Nam, J Lee
arXiv preprint arXiv:2305.14852, 2023
2023
Martingale Posterior Neural Processes
CHE Fong, H Lee, EG Yun, G Nam, J Lee
International Conference on Learning Representations (ICLR 2023)(01/05/2023 …, 2023
2023
Recent advances of radiative transfer emulator in WRF model
HJ Song, S Roh, PS Kim, J Lee, G Nam, E Yun, J Yoon
한국기상학회 학술대회 논문집, 244-244, 2022
2022
SPARSE WEIGHT AVERAGING WITH MULTIPLE PARTI-CLES FOR ITERATIVE MAGNITUDE PRUNING
M Choi, H Lee, G Nam, J Lee
The system can't perform the operation now. Try again later.
Articles 1–12