| Uncertainty-based continual learning with adaptive regularization H Ahn, S Cha, D Lee, T Moon Advances in neural information processing systems 32, 2019 | 210 | 2019 |
| 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 | 201 | 2021 |
| Continual learning with node-importance based adaptive group sparse regularization S Jung, H Ahn, S Cha, T Moon Advances in neural information processing systems 33, 3647-3658, 2020 | 105 | 2020 |
| Descent steps of a relation-aware energy produce heterogeneous graph neural networks H Ahn, Y Yang, Q Gan, T Moon, DP Wipf Advances in Neural Information Processing Systems 35, 38436-38448, 2022 | 27 | 2022 |
| 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 | 13 | 2021 |
| Adaptive group sparse regularization for continual learning S Jung, H Ahn, S Cha, T Moon arXiv preprint arXiv:2003.13726, 2020 | 9 | 2020 |
| Hyeonsu Bang, Hyojun Kim, and Taesup Moon H Ahn, J Kwak, S Lim SS-IL: Separated softmax for incremental learning, 2020 | 4 | 2020 |
| 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 |
| Iterative channel estimation for discrete denoising under channel uncertainty H Ahn, T Moon Conference on Uncertainty in Artificial Intelligence, 91-100, 2020 | 1 | 2020 |
| Listwise Reward Estimation for Offline Preference-based Reinforcement Learning H Choi, S Jung, H Ahn, T Moon arXiv preprint arXiv:2408.04190, 2024 | | 2024 |
| Reset & Distill: A Recipe for Overcoming Negative Transfer in Continual Reinforcement Learning H Ahn, J Hyeon, Y Oh, B Hwang, T Moon arXiv preprint arXiv:2403.05066, 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 |
| Neural network based robust binary sequence denoising using iterative channel estimation H Ahn, T Moon 대한전자공학회 학술대회, 1119-1122, 2018 | | 2018 |
| Catastrophic Negative Transfer: An Overlooked Problem in Continual Reinforcement Learning H Ahn, J Hyeon, Y Oh, B Hwang, T Moon | | |
| Supplementary Materials for Continual Learning with Node-Importance based Adaptive Group Sparse Regularization S Jung, H Ahn, S Cha, T Moon | | |
| Supplementary Materials for Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks H Ahn, Y Yang, Q Gan, T Moon, D Wipf | | |
| Supplementary Materials for SS-IL: Separated Softmax for Incremental Learning H Ahn, J Kwak, S Lim, H Bang, H Kim, T Moon | | |
