| Preservation of the Global Knowledge by Not-True Distillation in Federated Learning G Lee*, M Jeong*, Y Shin, S Bae, SY Yun NeurIPS 2022 (arXiv preprint arXiv:2106.03097), 2021 | 89 | 2021 |
| Mixco: Mix-up contrastive learning for visual representation S Kim*, G Lee*, S Bae*, SY Yun NeurIPS Workshop 2020 (arXiv preprint arXiv:2010.06300), 2020 | 64 | 2020 |
| Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding S Bae*, J Ko*, H Song, SY Yun EMNLP 2023 Long (arXiv preprint arXiv:2310.05424), 2023 | 13 | 2023 |
| Accurate and fast federated learning via combinatorial multi-armed bandits T Kim*, S Bae*, J Lee, S Yun arXiv preprint arXiv:2012.03270, 2020 | 9 | 2020 |
| Self-Contrastive Learning: Single-viewed Supervised Contrastive Framework using Sub-network S Bae*, S Kim*, J Ko, G Lee, S Noh, SY Yun AAAI 2023 (arXiv preprint arXiv:2106.15499), 2021 | 7 | 2021 |
| Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification S Bae*, JW Kim*, WY Cho, H Baek, S Son, B Lee, C Ha, K Tae, S Kim, ... INTERSPEECH 2023 (arXiv preprint arXiv:2305.14032), 2023 | 6* | 2023 |
| Re-thinking Federated Active Learning based on Inter-class Diversity SM Kim*, S Bae*, H Song, SY Yun CVPR 2023 (arXiv preprint arXiv:2303.12317), 2023 | 6* | 2023 |
| Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning S Kim*, S Bae*, SY Yun CVPR 2023 (arXiv preprint arXiv:2303.11101), 2023 | 5 | 2023 |
| Carpe Diem: On the Evaluation of World Knowledge in Lifelong Language Models Y Kim, J Yoon, S Ye, S Bae, N Ho, SJ Hwang, S Yun https://arxiv.org/abs/2311.08106, 2023 | 1 | 2023 |
| Adversarial Fine-tuning using Generated Respiratory Sound to Address Class Imbalance JW Kim, C Yoon, M Toikkanen, S Bae, HY Jung NeurIPS Workshop 2023 (arXiv preprint arXiv:2311.06480), 2023 | 1 | 2023 |
| SIPA: A simple framework for efficient networks G Lee*, S Bae*, J Oh, SY Yun ICDM Workshop 2020, 2020 | 1 | 2020 |
| Federated learning system for improved representation, federated learning method, and recording medium storing instructions to perform federated learning method YUN Seyoung, KIM Seongyoon, W Chung, BAE SangMin US Patent App. 18/472,393, 2024 | | 2024 |
| Stethoscope-guided Supervised Contrastive Learning for Cross-domain Adaptation on Respiratory Sound Classification JW Kim, S Bae, WY Cho, B Lee, HY Jung ICASSP 2024 (arXiv preprint arXiv:2312.09603), 2023 | | 2023 |
| Fine-Tuning the Retrieval Mechanism for Tabular Deep Learning F Breejen, S Bae, S Cha, TY Kim, SH Koh, SY Yun NeurIPS Workshop 2023 (arXiv preprint arXiv:2311.07343), 2023 | | 2023 |
| System, method, and computer-readable storage medium for federated learning of local model based on learning direction of global model GH Lee, MC Jeong, SY Yun, SM Bae, JY Ahn, SY Kim, WJ Chung US Patent App. 17/974,545, 2023 | | 2023 |
| Federated learning system for performing individual data customized federated learning, method for federated learning, and client aratus for performing same JH Oh, SM Kim, SY Yun, SM Bae, JW Shin, SY Kim, WJ Chung US Patent App. 17/975,664, 2023 | | 2023 |
Se Young YunKAISTVerified email at kaist.ac.kr
