Jae-Gil Lee

Latest

• Carpe Diem, Seize the Samples Uncertain "At the Moment" for Adaptive Batch Selection (CIKM 2020, To Appear)
• Ada-Boundary: Accelerating DNN Training via Adaptive Boundary Batch Selection (Machine Learning 2020, SCIE IF=2.672, ECML-PKDD Journal Track, To Appear)
• 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, To Appear)
• 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)