| Self-supervised pre-training and contrastive representation learning for multiple-choice video qa S Kim, S Jeong, E Kim, I Kang, N Kwak Proceedings of the AAAI Conference on Artificial Intelligence 35 (14), 13171 …, 2021 | 38 | 2021 |
| Learning dynamic network using a reuse gate function in semi-supervised video object segmentation H Park, J Yoo, S Jeong, G Venkatesh, N Kwak Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 36 | 2021 |
| Linda: Unsupervised learning to interpolate in natural language processing Y Kim, S Jeong, K Cho arXiv preprint arXiv:2112.13969, 2021 | 8 | 2021 |
| ADMit: Improving NER in automotive domain with domain adversarial training and multi-task learning C Park, S Jeong, J Kim Expert Systems with Applications 225, 120007, 2023 | 3 | 2023 |
| Task-specific compression for multi-task language models using attribution-based pruning N Yang, Y Jang, H Lee, S Jung, K Jung arXiv preprint arXiv:2205.04157, 2022 | 2 | 2022 |
| Learning Dynamic BERT via Trainable Gate Variables and a Bi-modal Regularizer S Jeong, N Kwak arXiv preprint arXiv:2102.09727, 2021 | | 2021 |
Nojun KwakProfessor, Department of Intelligence and Information, Seoul National University在 snu.ac.kr 的電子郵件地址已通過驗證
