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Dongmin Park
Dongmin Park
Research Scientist@KRAFTON AI | Ph.D.@KAIST
Verified email at krafton.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 (TNNLS), 2022
8302022
Prestopping: How does early stopping help generalization against label noise?
H Song, M Kim, D Park, JG Lee
ICML Workshop, 2019
65*2019
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
International Conference on Knowledge Discovery and Data Mining (KDD), 3466-3473, 2020
362020
Robust Learning by Self-Transition for Handling Noisy Labels
H Song, M Kim, D Park, Y Shin, JG Lee
International Conference on Knowledge Discovery and Data Mining (KDD), 2021
342021
Meta-Learning for Online Update of Recommender Systems
M Kim, H Song, Y Shin, D Park, K Shin, JG Lee
AAAI Conference on Artificial Intelligence (AAAI), 2022
132022
Active Learning is a Strong Baseline for Data Subset Selection
D Park, D Papailiopoulos, K Lee
Has it Trained Yet? NeurIPS 2022 Workshop, 2022
122022
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning
D Park, Y Shin, J Bang, Y Lee, H Song, JG Lee
Annual Conference on Neural Information Processing Systems (NeurIPS), 2022
112022
Task-Agnostic Undesirable Feature Deactivation Using Out-of-Distribution Data
D Park, H Song, MS Kim, JG Lee
Annual Conference on Neural Information Processing Systems (NeurIPS), 2021
102021
TRAP: Two-level Regularized Autoencoder-based Embedding for Power-law Distributed Data
D Park, H Song, M Kim, JG Lee
The Web Conference (WWW), 1615-1624, 2020
92020
Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy
D Park, S Choi, D Kim, H Song, JG Lee
Annual Conference on Neural Information Processing Systems (NeurIPS), 2023
32023
Context Consistency Regularization for Label Sparsity in Time Series
Y Shin, S Yoon, H Song, D Park, B Kim, JG Lee, BS Lee
International Conference on Machine Learning (ICML), 2023
12023
Multi-view POI-level Cellular Trajectory Reconstruction for Digital Contact Tracing of Infectious Diseases
D Park, J Kang, H Song, S Yoon, JG Lee
International Conference on Data Mining (ICDM), 2022
12022
MLAT: Metric Learning for kNN in Streaming Time Series
D Park, S Yoon, H Song, JG Lee
KDD Workshop, 2019
12019
Mitigating Dialogue Hallucination for Large Multi-modal Models via Adversarial Instruction Tuning
D Park, Z Qian, G Han, SN Lim
arXiv preprint arXiv:2403.10492, 2024
2024
Prioritizing Informative Features and Examples for Deep Learning from Noisy Data
D Park
Ph.D. Dissertation, 2024
2024
Adaptive Shortcut Debiasing for Online Continual Learning
D Kim, D Park, Y Shin, J Bang, H Song, JG Lee
AAAI Conference on Artificial Intelligence (AAAI), 2024
2024
One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning
D Kim, S Yoon, D Park, Y Lee, H Song, J Bang, JG Lee
arXiv preprint arXiv:2311.12048, 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 Patent, 2022
2022
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