| Self-supervised auxiliary learning with meta-paths for heterogeneous graphs D Hwang, J Park, S Kwon, KM Kim, JW Ha, HJ Kim Advances in Neural Information Processing Systems (NeurIPS) 33, 10294-10305, 2020 | 73 | 2020 |
| Point cloud augmentation with weighted local transformations S Kim, S Lee, D Hwang, J Lee, SJ Hwang, HJ Kim Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 50 | 2021 |
| Rebalancing Batch Normalization for Exemplar-based Class-Incremental Learning S Cha, S Cho, D Hwang, S Hong, M Lee, T Moon Proceedings of the IEEE Conference of Computer Vision and Pattern …, 2023 | 8 | 2023 |
| Learning to unlearn: Instance-wise unlearning for pre-trained classifiers S Cha, S Cho, D Hwang, H Lee, T Moon, M Lee AAAI 2024, 2023 | 7 | 2023 |
| Self-supervised auxiliary learning for graph neural networks via meta-learning D Hwang, J Park, S Kwon, KM Kim, JW Ha, HJ Kim arXiv preprint arXiv:2103.00771, 2021 | 7 | 2021 |
| QASA: Advanced Question Answering on Scientific Articles Y Lee, K Lee, S Park, D Hwang, J Kim, H Lee, M Lee International Conference on Machine Learning (ICML), 2023 | 6 | 2023 |
| Transferring Pre-trained Multimodal Representations with Cross-modal Similarity Matching B Kim, S Choi, D Hwang, M Lee, H Lee Advances in Neural Information Processing Systems (NeurIPS) 35, 2023 | 5 | 2023 |
| Learning augmentation for GNNs with consistency regularization H Park, S Lee, D Hwang, J Jeong, KM Kim, JW Ha, HJ Kim IEEE access 9, 127961-127972, 2021 | 4 | 2021 |
| Reinforcement Learning from Reflective Feedback (RLRF): Aligning and Improving LLMs via Fine-Grained Self-Reflection K Lee, D Hwang, S Park, Y Jang, M Lee | | 2024 |
| Robust Auxiliary Learning with Weighting Function for Biased Data D Hwang, S Lee, J Choi, JK Rhee, HJ Kim Information Sciences, 2023 | | 2023 |
| Supplementary Materials for Rebalancing Batch Normalization for Exemplar-based Class-Incremental Learning S Cha, S Cho, D Hwang, S Hong, M Lee, T Moon | | |
