| 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 | 133 | 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 | 97 | 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 (arXiv preprint arXiv:2310.05424), 2023 | 46 | 2023 |
| 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 | 32* | 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 | 20 | 2023 |
| 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 | 13 | 2023 |
| 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 | 13* | 2021 |
| Accurate and fast federated learning via combinatorial multi-armed bandits T Kim*, S Bae*, J Lee, S Yun arXiv preprint arXiv:2012.03270, 2020 | 13 | 2020 |
| 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 | 11 | 2023 |
| Block Transformer: Global-to-Local Language Modeling for Fast Inference N Ho*, S Bae*, T Kim, H Jo, Y Kim, T Schuster, A Fisch, J Thorne, SY Yun NeurIPS 2024 (arXiv preprint arXiv:2406.02657), 2024 | 9 | 2024 |
| 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 NAACL 2024 (https://arxiv.org/abs/2311.08106), 2023 | 9 | 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 | 6 | 2023 |
| VACoDe: Visual Augmented Contrastive Decoding S Kim, B Cho, S Bae, S Ahn, SY Yun ICML Workshop 2024 (arXiv preprint arXiv:2408.05337), 2024 | 5 | 2024 |
| Why In-Context Learning Transformers are Tabular Data Classifiers F Breejen, S Bae, S Cha, SY Yun NeurIPS Workshop 2023 (arXiv preprint arXiv:2405.13396), 2024 | 5* | 2024 |
| RepAugment: Input-Agnostic Representation-Level Augmentation for Respiratory Sound Classification JW Kim, M Toikkanen, S Bae, M Kim, HY Jung EMBC 2024 (arXiv preprint arXiv:2405.02996), 2024 | 5 | 2024 |
| Relaxed recursive transformers: Effective parameter sharing with layer-wise lora S Bae, A Fisch, H Harutyunyan, Z Ji, S Kim, T Schuster ICLR 2025 (arXiv preprint arXiv:2410.20672), 2024 | 4 | 2024 |
| Learning Video Temporal Dynamics with Cross-Modal Attention for Robust Audio-Visual Speech Recognition S Kim*, K Jang*, S Bae, H Kim, SY Yun SLT 2024 (arXiv preprint arXiv:2407.03563), 2024 | 3 | 2024 |
| Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL Y Choi, S Bae, S Ban, M Jeong, C Zhang, L Song, L Zhao, J Bian, KE Kim ACL 2024 (arXiv preprint arXiv:2407.14733), 2024 | 2 | 2024 |
| SIPA: A simple framework for efficient networks G Lee*, S Bae*, J Oh, SY Yun ICDM Workshop 2020 (arXiv preprint arXiv:2004.14476), 2020 | 1 | 2020 |
| MoHAVE: Mixture of Hierarchical Audio-Visual Experts for Robust Speech Recognition S Kim, K Jang, S Bae, S Cho, SY Yun arXiv preprint arXiv:2502.10447, 2025 | | 2025 |
Se Young YunKAISTยืนยันอีเมลแล้วที่ kaist.ac.kr