| Diversity matters when learning from ensembles G Nam, J Yoon, Y Lee, J Lee Advances in neural information processing systems 34, 8367-8377, 2021 | 35 | 2021 |
| 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 | 8 | 2022 |
| Decoupled training for long-tailed classification with stochastic representations G Nam, S Jang, J Lee arXiv preprint arXiv:2304.09426, 2023 | 5 | 2023 |
| Improving ensemble distillation with weight averaging and diversifying perturbation G Nam, H Lee, B Heo, J Lee arXiv preprint arXiv:2206.15047, 2022 | 5 | 2022 |
| 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 | 2 | 2023 |
| Martingale Posterior Neural Processes H Lee, E Yun, G Nam, E Fong, J Lee arXiv preprint arXiv:2304.09431, 2023 | 2 | 2023 |
| 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 | | |
