Publications

Dehong Xu, Liang Qiu, Minseok Kim, Faisal Ladhak, Jaeyoung Do (2024). Aligning Large Language Models via Fine-grained Supervision (ACL 2024). in ACL.

Hwanjun Song, Minseok Kim, Jae-Gil Lee (2024). Toward Robustness in Multi-label Classification: A Data Augmentation Strategy against Imbalance and Noise (AAAI 2024). in AAAI.

Minseok Kim, Jinoh Oh, Jaeyoung Do, Sungjin Lee (2022). Debiasing Neighbor Aggregation for Graph Neural Network in Recommender Systems (CIKM 2022). in CIKM.

Hwanjun Song, Minseok Kim, Dongmin Park, Yooju Shin, Jae-Gil Lee (2022). Learning from Noisy Labels with Deep Neural Networks: A Survey (TNNLS 2022). TNNLS.

Minseok Kim, Hwanjun Song, Yooju Shin, Dongmin Park, Kijung Shin, Jae-Gil Lee (2021). Meta-Learning for Online Update of Recommender Systems (AAAI 2022). The AAAI Conference on Artificial Intelligence.

Doyoung Kim, Hyangsuk Min, Youngeun Nam, Hwanjun Song, Susik Yoon, Minseok Kim, Jae-Gil Lee (2021). COVID-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies (AAAI 2022). The AAAI Conference on Artificial Intelligence.

Dongmin Park, Hwanjun Song, Minseok Kim, Jae-Gil Lee (2021). Task-Agnostic Undesirable Feature Deactivation Using Out-of-Distribution Data (NeurIPS 2021). NeurIPS.

Hwanjun Song, Minseok Kim, Dongmin Park, Yooju Shin, Jae-Gil Lee (2021). Robust Learning by Self-Transition for Handling Noisy Labels (KDD 2021). KDD.

Minseok Kim, Hwanjun Song, Doyooung Kim, Kijung Shin, Jae-Gil Lee (2020). PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation (AAAI 2021). In AAAI.

Hwanjun Song, Minseok Kim, Sundong Kim, Jae-Gil Lee (2020). Carpe Diem, Seize the Samples Uncertain "At the Moment" for Adaptive Batch Selection (CIKM 2020). In CIKM.

Hwanjun Song, Sundong Kim, Minseok Kim, Jae-Gil Lee (2020). Ada-Boundary: Accelerating DNN Training via Adaptive Boundary Batch Selection (Machine Learning 2020, (SCI Expanded, impact factor: 2.672). In Machine Learning.

Video Source Document DOI

Minseok Kim, Junhyeok Kang, Doyoung Kim, Hwanjun Song, Hyangsuk Min, Youngeun Nam, Dongmin Park, Jae-Gil Lee (2020). Hi-COVIDNet: Deep Learning Approach to Predict Inbound COVID-19 Patients and Case Study in South Korea (KDD 2020). In KDD.

Hwanjun Song, Minseok Kim, Dongmin Park, Jae-Gil Lee (2020). How Does Early Stopping Help Generalization against Label Noise? (ICMLW 2020). In ICMLW.

Dongmin Park, Hwanjun Song, Minseok Kim, Jae-Gil Lee (2020). TRAP: Two-level Regularized Autoencoder-based Embedding for Power-law Distributed Data (TheWebConf 2020). In TheWebConf.

Hwanjun Song, Minseok Kim, Jae-Gil Lee (2019). SELFIE: Refurbishing Unclean Samples for Robust Deep Learning (ICML 2019). In ICML.

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