| Learning to generate word representations using subword information Y Kim, KM Kim, JM Lee, SK Lee COLING 2018, 2551-2561, 2018 | 33 | 2018 |
| In Defense of Core-set: A Density-aware Core-set Selection for Active Learning Y Kim, B Shin KDD 2022, 2022 | 30 | 2022 |
| Adaptive compression of word embeddings Y Kim, KM Kim, SK Lee ACL 2020, 3950-3959, 2020 | 22 | 2020 |
| Client-Customized Adaptation for Parameter-Efficient Federated Learning Y Kim, J Kim, WL Mok, JH Park, SK Lee ACL 2023 (Findings), 1159-1172, 2023 | 19 | 2023 |
| From small-scale to large-scale text classification KM Kim, Y Kim, J Lee, JM Lee, SK Lee WWW 2019, 853-862, 2019 | 19 | 2019 |
| Dynamic Structure Pruning for Compressing CNNs JH Park, Y Kim, J Kim, JY Choi, SK Lee AAAI 2023, 2023 | 16 | 2023 |
| An Interpretable Framework for Drug-Target Interaction with Gated Cross Attention Y Kim, B Shin MLHC 2021, 2021 | 8 | 2021 |
| Multi-pretraining for large-scale text classification KM Kim, B Hyeon, Y Kim, JH Park, SK Lee EMNLP 2020 (Findings), 2041-2050, 2020 | 6 | 2020 |
| Improving Bias Mitigation through Bias Experts in Natural Language Understanding E Jeon, M Lee, J Park, Y Kim, WL Mok, SK Lee EMNLP 2023, 11053-11066, 2023 | 4 | 2023 |
| Multi-stage prompt tuning for political perspective detection in low-resource settings KM Kim, M Lee, HS Won, MJ Kim, Y Kim, SK Lee Applied Sciences 13 (10), 6252, 2023 | 3 | 2023 |
| Phase-shifted Adversarial Training Y Kim, S Kim, I Seo, B Shin UAI 2023, 2023 | 3 | 2023 |
| Context-based Virtual Adversarial Training for Text Classification with Noisy Labels Y Kim, DM Lee, C Seo LREC 2021, 2022 | 3 | 2022 |
| MELT: Materials-aware continued pre-training for language model adaptation to materials science J Kim, Y Kim, JH Park, Y Oh, S Kim, SK Lee arXiv preprint arXiv:2410.15126, 2024 | 2 | 2024 |
| Towards Robust and Generalized Parameter-Efficient Fine-Tuning for Noisy Label Learning Y Kim, J Kim, SK Lee ACL 2024, 5922-5936, 2024 | 2 | 2024 |
| Learning from Drift: Federated Learning on Non-iid Data via Drift Regularization Y Kim, B Shin arXiv preprint arXiv:2309.07189, 2023 | 2 | 2023 |
| SEED: Semantic knowledge transfer for language model adaptation to materials science Y Kim, JH Park, SH Kim, J Park, S Kim, SK Lee Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | 1 | 2024 |
| MolTRES: Improving Chemical Language Representation Learning for Molecular Property Prediction JH Park, Y Kim, M Lee, H Park, SK Lee arXiv preprint arXiv:2408.01426, 2024 | 1 | 2024 |
| A Unified Approach to Word Sense Representation and Disambiguation DM Lee, Y Kim, JM Lee, SK Lee 2018 IEEE 17th International Conference on Cognitive Informatics & Cognitive …, 2018 | 1 | 2018 |
| Improving Open Directory Project-Based Text Classification with Hierarchical Category Embedding JM Lee, KM Kim, Y Kim, SK Lee 2018 IEEE 17th International Conference on Cognitive Informatics & Cognitive …, 2018 | 1 | 2018 |
| Moleco: Molecular Contrastive Learning with Chemical Language Models for Molecular Property Prediction JH Park, H Park, Y Kim, W Lim, SK Lee Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | | 2024 |
SangKeun LeeProfessor of Dept. of Artificial Intelligence, Korea UniversityBestätigte E-Mail-Adresse bei korea.ac.kr