| 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 | 1269 | 2022 |
| SELFIE: Refurbishing Unclean Samples for Robust Deep Learning H Song, M Kim, JG Lee International Conference on Machine Learning (ICML), 2019 | 480 | 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 | 406 | 2023 |
| 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 | 173 | 2022 |
| 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), 2021 | 125* | 2021 |
| Robust learning by self-transition for handling noisy labels H Song, M Kim, D Park, Y Shin, JG Lee Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 125* | 2021 |
| RP-DBSCAN: A Superfast Parallel DBSCAN Algorithm based on Random Partitioning H Song, JG Lee International Conference on Management of Data (SIGMOD), 2018 | 72 | 2018 |
| 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 | 56 | 2017 |
| 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 | 49 | 2022 |
| Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding S Bae, J Ko, H Song, SY Yun Empirical Methods in Natural Language Processing (EMNLP-Main), 2023 | 46 | 2023 |
| Generating Instance-level Prompts for Rehearsal-free Continual Learning D Jung, D Han, J Bang, H Song International Conference on Computer Vision (ICCV), 2023 | 42 | 2023 |
| 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 | 40* | 2022 |
| 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 | 40* | 2020 |
| TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization L Tang, I Shalyminov, AW Wong, J Burnsky, JW Vincent, Y Yang, S Singh, ... North American Chapter of the Association for Computational Linguistics …, 2024 | 33 | 2024 |
| 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 | 23 | 2023 |
| 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 | 23 | 2021 |
| 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 | 21 | 2022 |
| 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 | 21 | 2020 |
| 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 | 20 | 2022 |
| FineSurE: Fine-grained Summarization Evaluation using LLMs H Song, H Su, I Shalyminov, J Cai, S Mansour Annual Meeting of the Association for Computational Linguistics (ACL-Main), 2024 | 19 | 2024 |
Jae-Gil LeeProfessor, School of Computing, KAISTBestätigte E-Mail-Adresse bei kaist.ac.kr