| Large language models are reasoning teachers N Ho, L Schmid, SY Yun arXiv preprint arXiv:2212.10071, 2022 | 307 | 2022 |
| Fedbabu: Towards enhanced representation for federated image classification J Oh, S Kim, SY Yun arXiv preprint arXiv:2106.06042, 2021 | 270 | 2021 |
| Comparing kullback-leibler divergence and mean squared error loss in knowledge distillation T Kim, J Oh, NY Kim, S Cho, SY Yun arXiv preprint arXiv:2105.08919, 2021 | 248 | 2021 |
| Boil: Towards representation change for few-shot learning J Oh, H Yoo, CH Kim, SY Yun arXiv preprint arXiv:2008.08882, 2020 | 213 | 2020 |
| Preservation of the global knowledge by not-true distillation in federated learning G Lee, M Jeong, Y Shin, S Bae, SY Yun Advances in Neural Information Processing Systems 35, 38461-38474, 2022 | 132 | 2022 |
| FINE Samples for Learning with Noisy Labels T Kim, J Ko, J Choi, S Cho, SY Yun Advances in Neural Information Processing Systems, 2021 | 118 | 2021 |
| Decentralized power control scheme in femtocell networks: A game theoretic approach EJ Hong, SY Yun, DH Cho 2009 IEEE 20th international symposium on personal, indoor and mobile radio …, 2009 | 118 | 2009 |
| Optimal cluster recovery in the labeled stochastic block model SY Yun, A Proutiere Advances in Neural Information Processing Systems 29, 2016 | 106 | 2016 |
| Mixco: Mix-up contrastive learning for visual representation S Kim, G Lee, S Bae, SY Yun arXiv preprint arXiv:2010.06300, 2020 | 97 | 2020 |
| Accurate community detection in the stochastic block model via spectral algorithms SY Yun, A Proutiere arXiv preprint arXiv:1412.7335, 2014 | 91 | 2014 |
| Community detection via random and adaptive sampling SY Yun, A Proutiere Conference on learning theory, 138-175, 2014 | 82 | 2014 |
| The economic effects of sharing femtocells SY Yun, Y Yi, DH Cho, J Mo IEEE journal on selected areas in Communications 30 (3), 595-606, 2012 | 74 | 2012 |
| Open or close: On the sharing of femtocells S Yun, Y Yi, DH Cho, J Mo 2011 Proceedings IEEE INFOCOM, 116-120, 2011 | 71 | 2011 |
| Optimal CSMA: a survey SY Yun, Y Yi, J Shin 2012 IEEE international conference on communication systems (ICCS), 199-204, 2012 | 66 | 2012 |
| Cuda: Curriculum of data augmentation for long-tailed recognition S Ahn, J Ko, SY Yun arXiv preprint arXiv:2302.05499, 2023 | 49 | 2023 |
| Fast and robust early-exiting framework for autoregressive language models with synchronized parallel decoding S Bae, J Ko, H Song, SY Yun arXiv preprint arXiv:2310.05424, 2023 | 44 | 2023 |
| Tornadoaggregate: Accurate and scalable federated learning via the ring-based architecture J Lee, J Oh, S Lim, SY Yun, JG Lee arXiv preprint arXiv:2012.03214, 2020 | 43 | 2020 |
| Understanding cross-domain few-shot learning based on domain similarity and few-shot difficulty J Oh, S Kim, N Ho, JH Kim, H Song, SY Yun Advances in Neural Information Processing Systems 35, 2622-2636, 2022 | 42 | 2022 |
| Distillm: Towards streamlined distillation for large language models J Ko, S Kim, T Chen, SY Yun arXiv preprint arXiv:2402.03898, 2024 | 39 | 2024 |
| From Glauber dynamics to Metropolis algorithm: Smaller delay in optimal CSMA CH Lee, SY Yun, Y Yi 2012 IEEE International Symposium on Information Theory Proceedings, 2681-2685, 2012 | 37 | 2012 |
