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Minseok Kim
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Learning from noisy labels with deep neural networks: A survey
H Song, M Kim, D Park, Y Shin, JG Lee
IEEE Transactions on Neural Networks and Learning Systems, 2022
1852022
Selfie: Refurbishing unclean samples for robust deep learning
H Song, M Kim, JG Lee
International Conference on Machine Learning, 5907-5915, 2019
1242019
Hi-covidnet: deep learning approach to predict inbound covid-19 patients and case study in South Korea
M Kim, J Kang, D Kim, H Song, H Min, Y Nam, D Park, JG Lee
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
182020
Prestopping: How does early stopping help generalization against label noise?
H Song, M Kim, D Park, JG Lee
142019
Carpe Diem, Seize the Samples Uncertain" at the Moment" for Adaptive Batch Selection
H Song, M Kim, S Kim, JG Lee
Proceedings of the 29th ACM International Conference on Information …, 2020
92020
How does early stopping help generalization against label noise?
H Song, M Kim, D Park, JG Lee
arXiv preprint arXiv:1911.08059, 2019
92019
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
72021
Ada-boundary: accelerating DNN training via adaptive boundary batch selection
H Song, S Kim, M Kim, JG Lee
Machine Learning 109 (9), 1837-1853, 2020
72020
TRAP: Two-level regularized autoencoder-based embedding for power-law distributed data
D Park, H Song, M Kim, JG Lee
Proceedings of The Web Conference 2020, 1615-1624, 2020
42020
Task-Agnostic Undesirable Feature Deactivation Using Out-of-Distribution Data
D Park, H Song, MS Kim, JG Lee
Advances in Neural Information Processing Systems 34, 2021
12021
PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation
M Kim, H Song, D Kim, K Shin, JG Lee
AAAI, 2021
12021
COVID-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies
D Kim, H Min, Y Nam, H Song, S Yoon, M Kim, JG Lee
2022
Meta-Learning for Online Update of Recommender Systems
M Kim, H Song, Y Shin, D Park, K Shin, JG Lee
2022
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Articles 1–13