| Learning from noisy labels with deep neural networks: A survey H Song, M Kim, D Park, Y Shin, JG Lee arXiv preprint arXiv:2007.08199, 2020 | 414 | 2020 |
| Robust learning by self-transition for handling noisy labels H Song, M Kim, D Park, Y Shin, JG Lee Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 16 | 2021 |
| Accurate and fast federated learning via iid and communication-aware grouping J Lee, J Oh, Y Shin, JG Lee, SY Yoon arXiv preprint arXiv:2012.04857, 2020 | 8 | 2020 |
| Multiple dynamic outlier-detection from a data stream by exploiting duality of data and queries S Yoon, Y Shin, JG Lee, BS Lee Proceedings of the 2021 International Conference on Management of Data, 2063 …, 2021 | 5 | 2021 |
| Meta-Learning for Online Update of Recommender Systems M Kim, H Song, Y Shin, D Park, K Shin, JG Lee Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 4065-4074, 2022 | 3 | 2022 |
| CEP-Wizard: Automatic Deployment of Distributed Complex Event Processing Y Shin, S Yoon, P Trirat, JG Lee 2019 IEEE 35th International Conference on Data Engineering (ICDE), 2004-2007, 2019 | 3 | 2019 |
| Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning D Park, Y Shin, J Bang, Y Lee, H Song, JG Lee arXiv preprint arXiv:2210.07805, 2022 | 2 | 2022 |
| Coherence-based label propagation over time series for accelerated active learning Y Shin, S Yoon, S Kim, H Song, JG Lee, BS Lee International Conference on Learning Representations, 2022 | 2 | 2022 |
| Generating a Machine Learning Model with a Few Sentences P Trirat, Y Shin, S Kim, M Kim 한국정보과학회 학술발표논문집, 688-690, 2021 | | 2021 |
| Cross-Window Self-Training via Context Variations from Sparsely-Labeled Time Series Y Shin, S Yoon, H Song, JG Lee, BS Lee | | |
