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Jae-Gil Lee
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PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation (AAAI 2021)
Carpe Diem, Seize the Samples Uncertain "At the Moment" for Adaptive Batch Selection (CIKM 2020)
Ada-Boundary: Accelerating DNN Training via Adaptive Boundary Batch Selection (Machine Learning 2020, SCIE IF=2.672, ECML-PKDD Journal Track)
Learning from Noisy Labels with Deep Neural Networks: A Survey (Arxiv 2020, Under Review)
Hi-COVIDNet: Deep Learning Approach to Predict Inbound COVID-19 Patients and Case Study in South Korea (KDD 2020)
How Does Early Stopping Help Generalization against Label Noise? (ICMLW 2020)
Revisit Prediction by Deep Survival Analysis (PAKDD 2020)
TRAP: Two-level Regularized Autoencoder-based Embedding for Power-law Distributed Data (TheWebConf 2020)
MLAT: Metric Learning for kNN in Streaming Time Series (KDDW 2019)
SELFIE: Refurbishing Unclean Samples for Robust Deep Learning (ICML 2019)
RP-DBSCAN: A Superfast Parallel DBSCAN Algorithm based on Random Partitioning (SIGMOD 2018)
PAMAE: Parallel k-Medoids Clustering with High Accuracy and Efficiency (KDD 2017)
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