Preservation of the Global Knowledge by Not-True Distillation in Federated Learning G Lee*, M Jeong*, Y Shin, S Bae, SY Yun Thirty-seventh Annual Conference on Neural Information Processing Systems 35 …, 2022 | 107 | 2022 |
Robust Streaming PCA D Bienstock*, M Jeong*, A Shukla*, SY Yun* Thirty-seventh Annual Conference on Neural Information Processing Systems 35 …, 2022 | 4 | 2022 |
Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement Learning J Oh*, J Kim*, M Jeong, SY Yun 2023 International Conference on Autonomous Agents and Multiagent Systems …, 2023 | 3 | 2023 |
Revisiting Intermediate Layer Distillation for Compressing Language Models: An Overfitting Perspective J Ko, S Park, M Jeong, S Hong, E Ahn, DS Chang, SY Yun Findings of the Association for Computational Linguistics: EACL 2023, 158-175, 2023 | 3 | 2023 |
Contextual Linear Bandits under Noisy Features: Towards Bayesian Oracles J Kim, SY Yun, M Jeong, JH Nam, J Shin, R Combes The 26th International Conference on Artificial Intelligence and Statistics …, 2023 | 3 | 2023 |
FedSoL: Bridging Global Alignment and Local Generality in Federated Learning G Lee, M Jeong, S Kim, J Oh, SY Yun The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024, 2024 | | 2024 |
FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning S Kim, M Jeong, S Kim, S Cho, S Ahn, SY Yun arXiv preprint arXiv:2406.02355, 2024 | | 2024 |
Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning H Lee*, M Jeong*, SY Yun, KE Kim Findings of the Association for Computational Linguistics: EMNLP 2023, 4927-4943, 2023 | | 2023 |