| Ss-il: Separated softmax for incremental learning H Ahn, J Kwak, S Lim, H Bang, H Kim, T Moon Proceedings of the IEEE/CVF International conference on computer vision, 844-853, 2021 | 209 | 2021 |
| Prediction model for random variation in FinFET induced by line-edge-roughness (LER) J Lee, T Park, H Ahn, J Kwak, T Moon, C Shin Electronics 10 (4), 455, 2021 | 14 | 2021 |
| Hyeonsu Bang, Hyojun Kim, and Taesup Moon H Ahn, J Kwak, S Lim SS-IL: Separated softmax for incremental learning, 2020 | 4 | 2020 |
| Towards more objective evaluation of class incremental learning: Representation learning perspective S Cha, J Kwak, D Shim, H Kim, M Lee, H Lee, T Moon arXiv preprint arXiv:2206.08101, 2022 | 2 | 2022 |
| GAN-Based Framework for Unified Estimation of Process-Induced Random Variation in FinFET T Park, J Kwak, H Ahn, J Lee, J Lim, S Yu, C Shin, T Moon IEEE Access 10, 130001-130023, 2022 | 1 | 2022 |
| Towards Realistic Incremental Scenario in Class Incremental Semantic Segmentation J Kwak, S Cha, T Moon arXiv preprint arXiv:2405.09858, 2024 | | 2024 |
| Prediction Model for Random Variation in FinFET Induced by Line-Edge-Roughness (LER). Electronics 2021, 10, 455 J Lee, T Park, H Ahn, J Kwak, T Moon, C Shin s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021 | | 2021 |
| IDENTIFICATION AND CHARACTERIZATION OF MOUSE ORGANIC ANION TRANSPORTER 5 IN MOUSE KIDNEY AND LIVER J Kwak, J Kwak, SH Cha KOREAN JOURNAL OF PHYSIOLOGY AND PHARMACOLOGY 10, P, 2006 | | 2006 |
| Supplementary Materials for SS-IL: Separated Softmax for Incremental Learning H Ahn, J Kwak, S Lim, H Bang, H Kim, T Moon | | |
Hongjoon AhnSeoul National UniversityVerified email at snu.ac.kr
Hongjoon AhnSeoul National UniversityVerified email at snu.ac.kr