| Learning from Noisy Labels with Deep Neural Networks: A Survey H Song, M Kim, D Park, Y Shin, JG Lee Transactions on Neural Networks and Learning Systems (TNNLS), 2022 | 678 | 2022 |
| SELFIE: Refurbishing Unclean Samples for Robust Deep Learning H Song, M Kim, JG Lee International Conference on Machine Learning (ICML), 2019 | 313 | 2019 |
| Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective SE Whang, Y Roh, H Song, JG Lee International Journal on Very Large Data Bases (VLDBJ), 2023 | 102 | 2023 |
| 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 | 80* | 2021 |
| ViDT: An Efficient and Effective Fully Transformer-based Object Detector H Song, D Sun, S Chun, V Jampani, D Han, B Heo, W Kim, MH Yang International Conference on Learning Representation (ICLR), 2022 | 69* | 2022 |
| RP-DBSCAN: A Superfast Parallel DBSCAN Algorithm based on Random Partitioning H Song, JG Lee International Conference on Management of Data (SIGMOD), 2018 | 66 | 2018 |
| Dataset Condensation via Efficient Synthetic-Data Parameterization JH Kim, J Kim, SJ Oh, S Yun, H Song, J Jeong, JW Ha, HO Song International Conference on Machine Learning (ICML), 2022 | 65 | 2022 |
| PAMAE: Parallel k-Medoids Clustering with High Accuracy and Efficiency H Song, JG Lee, WS Han International Conference on Knowledge Discovery and Data Mining (KDD), 2017 | 48 | 2017 |
| 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), 2020 | 35* | 2020 |
| Online Continual Learning on a Contaminated Data Stream with Blurry Task Boundaries J Bang, H Koh, S Park, H Song, JW Ha, J Choi International Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 24 | 2022 |
| Understanding Cross-domain Few-shot Learning: An Experimental Study J Oh, S Kim, N Ho, JH Kim, H Song, SY Yun Annual Conference on Neural Information Processing Systems (NeurIPS), 2022 | 14* | 2022 |
| Machine Learning Robustness, Fairness, and their Convergence JG Lee, Y Roh, H Song, SE Whang International Conference on Knowledge Discovery and Data Mining (KDD), 2021 | 14 | 2021 |
| Carpe Diem, Seize the Samples Uncertain "At the Moment" for Adaptive Batch Selection H Song, M Kim, S Kim, JG Lee International Conference on Information and Knowledge Management (CIKM), 2020 | 11 | 2020 |
| PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation M Kim, H Song, D Kim, S Kijung, JG Lee AAAI Conference on Artificial Intelligence (AAAI), 2021 | 10 | 2021 |
| Ada-Boundary: Accelerating DNN Training via Adaptive Boundary Batch Selection H Song, S Kim, M Kim, JG Lee Machine Learning (ML), 2020 | 10 | 2020 |
| TRAP: Two-Level Regularized Autoencoder-based Embedding for Power-law Distributed Data D Park, H Song, M Kim, JG Lee The Web Conference (WWW), 2020 | 9 | 2020 |
| Time Is MattEr: Temporal Self-supervision for Video Transformers S Yun, J Kim, D Han, H Song, JW Ha, J Shin International Conference on Machine Learning (ICML), 2022 | 8 | 2022 |
| 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 | 8 | 2022 |
| 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 | 7 | 2022 |
| Task-Agnostic Undesirable Feature Deactivation Using Out-of-Distribution Data D Park, H Song, MS Kim, JG Lee Advances in Neural Information Processing Systems (NeurIPS), 2021 | 7 | 2021 |
Jae-Gil LeeProfessor, School of Computing, KAISTVerified email at kaist.ac.kr
