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Showing results 1 to 7 of 7

1
Benefits of Stochastic Weight Averaging in Developing Neural Network Radiation Scheme for Numerical Weather Prediction

Song, Hwan-Jin; Roh, Soonyoung; Lee, Juho; Nam, Giung; Yun, Eunggu; Yoon, Jongmin; Kim, Park Sa, JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS, v.14, no.10, 2022-10

2
Decoupled training for long-tailed classification with stochastic representations

Nam, Giung; Jang, Sunguk; Lee, Juho, The Eleventh International Conference on Learning Representations, International Conference on Learning Representations, 2023-05-01

3
Diversity matters when learning from ensembles = 다양성을 고려한 앙상블 학습link

Nam, Giung; Lee, Juho; et al, 한국과학기술원, 2022

4
Diversity matters when learning from ensembles

Nam, Giung; Yoon, Jongmin; Lee, Yoonho; Lee, Juho, 35th Conference on Neural Information Processing Systems, NeurIPS 2021, Neural Information Processing Systems, 2021-12-08

5
Improving ensemble distillation with weight averaging and diversifying perturbation

Nam, Giung; Lee, Hyungi; Heo, Byeongho; Lee, Juho, The 39th International Conference on Machine Learning, ICML 2022, International Conference on Machine Learning, 2022-07-17

6
Martingale posterior neural processes

Lee, Hyungi; Yun, Eunggu; Nam, Giung; Fong, E; Lee, Juho, The Eleventh International Conference on Learning Representations, International Conference on Learning Representations, 2023-05-01

7
Traversing between modes in function space for fast ensembling

Yun, Eunggu; Lee, Hyungi; Nam, Giung; Lee, Juho, Fortieth International Conference on Machine Learning, International Conference on Machine Learning, 2023-07-23

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