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Minseok Kim
Minseok Kim
Applied Scientist II at Amazon Alexa AI
Verified email at amazon.com - Homepage
Title
Cited by
Cited by
Year
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 34 (11), 8135-8153, 2022
9892022
Selfie: Refurbishing unclean samples for robust deep learning
H Song, M Kim, JG Lee
International conference on machine learning, 5907-5915, 2019
4052019
How does early stopping help generalization against label noise?
H Song, M Kim, D Park, JG Lee
arXiv preprint arXiv:1911.08059, 2019
512019
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
392021
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
372020
Prestopping: How does early stopping help generalization against label noise?
H Song, M Kim, D Park, JG Lee
242019
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
162022
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
152020
Ada-boundary: accelerating DNN training via adaptive boundary batch selection
H Song, S Kim, M Kim, JG Lee
Machine Learning 109, 1837-1853, 2020
152020
PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation
M Kim, H Song, D Kim, K Shin, JG Lee
AAAI, 2021
142021
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, 4040-4052, 2021
102021
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
102020
Debiasing neighbor aggregation for graph neural network in recommender systems
M Kim, J Oh, J Do, S Lee
Proceedings of the 31st ACM International Conference on Information …, 2022
72022
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
Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 11971 …, 2022
72022
Toward robustness in multi-label classification: A data augmentation strategy against imbalance and noise
H Song, M Kim, JG Lee
Proceedings of the AAAI Conference on Artificial Intelligence 38 (19), 21592 …, 2024
42024
RepAugment: Input-Agnostic Representation-Level Augmentation for Respiratory Sound Classification
JW Kim, M Toikkanen, S Bae, M Kim, HY Jung
arXiv preprint arXiv:2405.02996, 2024
12024
Aligning Large Language Models via Fine-grained Supervision
D Xu, L Qiu, M Kim, F Ladhak, J Do
ACL, 2024
2024
Method and apparatus for predicting imported infectious disease information based on deep neural networks
J Lee, M Kim, J Kang, D Kim, S Hwanjun, MIN Hyangsuk, NAM Youngeun, ...
US Patent 11,557,401, 2023
2023
Method and apparatus for predicting imported infectious disease information based on deep neural networks
D Park, Y Nam, H Min, H Song, D Kim, J Kang, MS Kim, JG Lee
US, 2022
2022
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