Yooju Shin
Cited by
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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
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
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
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
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
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
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
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
Generating a Machine Learning Model with a Few Sentences
P Trirat, Y Shin, S Kim, M Kim
한국정보과학회 학술발표논문집, 688-690, 2021
Cross-Window Self-Training via Context Variations from Sparsely-Labeled Time Series
Y Shin, S Yoon, H Song, JG Lee, BS Lee
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