| Deep learning model for real-time prediction of intradialytic hypotension H Lee, D Yun, J Yoo, K Yoo, YC Kim, DK Kim, KH Oh, KW Joo, YS Kim, ... Clinical Journal of the American Society of Nephrology 16 (3), 396-406, 2021 | 57 | 2021 |
| Robust multi-bit natural language watermarking through invariant features KY Yoo, W Ahn, J Jang, N Kwak The 61st Annual Meeting of the Association for Computational Linguistics, 2023 | 55* | 2023 |
| Detection of adversarial examples in text classification: Benchmark and baseline via robust density estimation KY Yoo, J Kim, J Jang, N Kwak Findings of the Association for Computational Linguistics: ACL 2022, 3656-3672, 2022 | 42* | 2022 |
| Position-based Scaled Gradient for Model Quantization and Sparse Training J Kim, KY Yoo, N Kwak Advances in Neural Information Processing Systems (NeurIPS), 2020 | 39* | 2020 |
| Advancing beyond identification: Multi-bit watermark for large language models KY Yoo, W Ahn, N Kwak Proceedings of the 2024 Conference of the North American Chapter of the …, 2024 | 16* | 2024 |
| Self-distilled self-supervised representation learning J Jang, S Kim, K Yoo, C Kong, J Kim, N Kwak Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 13 | 2023 |
| Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling KY Yoo, N Kwak 2022 Conference on Empirical Methods in Natural Language Processing, 2022 | 12* | 2022 |
| Finding Efficient Pruned Network via Refined Gradients for Pruned Weights J Kim, J Yoo, Y Song, KY Yoo, N Kwak Proceedings of the 31st ACM International Conference on Multimedia, 9003-9011, 2023 | 6* | 2023 |
| Edge bias in federated learning and its solution by buffered knowledge distillation S Lee, K Yoo, N Kwak arXiv preprint arXiv:2010.10338, 2020 | 4* | 2020 |
| On the orthogonality of knowledge distillation with other techniques: From an ensemble perspective SU Park, KY Yoo, N Kwak arXiv preprint arXiv:2009.04120, 2020 | 4 | 2020 |
| Imperceptible Protection against Style Imitation from Diffusion Models N Ahn, W Ahn, KY Yoo, D Kim, SH Nam arXiv preprint arXiv:2403.19254, 2024 | 3 | 2024 |
| Self-evolutionary optimization for Pareto front learning S Chang, KY Yoo, J Jang, N Kwak arXiv preprint arXiv:2110.03461, 2021 | 3 | 2021 |
| TEAM MIPAL at MEDIQA-M3G 2024: Large VQA Models for Dermatological Diagnosis H Kim, M Kim, J Jang, K Yoo, N Kwak Proceedings of the 6th Clinical Natural Language Processing Workshop, 334-338, 2024 | 1 | 2024 |
| Model compression via position-based scaled gradient J Kim, K Yoo, N Kwak IEEE Access 10, 133828-133841, 2022 | 1 | 2022 |
| Exploring Causal Mechanisms for Machine Text Detection Methods K Yoo, W Ahn, Y Song, N Kwak Proceedings of the 4th Workshop on Trustworthy Natural Language Processing …, 2024 | | 2024 |
| Open Domain Generalization with a Single Network by Regularization Exploiting Pre-trained Features I Chung, KY Yoo, N Kwak arXiv preprint arXiv:2312.05141, 2023 | | 2023 |
| Hardware-Friendly Post-Training Quantization: Input-and Output-Channelwise Scale and Offset G Choi, K Lee, KY Yoo, N Kwak | | |
Nojun KwakProfessor, Department of Intelligence and Information, Seoul National Universitysnu.ac.kr의 이메일 확인됨
