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Journal Articles
- 2022
[j1]Taeeon Park
, Jihwan Kwak, Hongjoon Ahn, Jinwoong Lee, Jaehyuk Lim, Sangho Yu, Changhwan Shin, Taesup Moon:
GAN-Based Framework for Unified Estimation of Process-Induced Random Variation in FinFET. IEEE Access 10: 130001-130023 (2022)
Conference and Workshop Papers
- 2024
- [c6]Heewoong Choi, Sangwon Jung, Hongjoon Ahn, Taesup Moon:
Listwise Reward Estimation for Offline Preference-based Reinforcement Learning. ICML 2024 - 2022
- [c5]Hongjoon Ahn, Yongyi Yang, Quan Gan, Taesup Moon, David P. Wipf:
Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks. NeurIPS 2022 - 2021
- [c4]Hongjoon Ahn, Jihwan Kwak, Subin Lim, Hyeonsu Bang, Hyojun Kim, Taesup Moon:
SS-IL: Separated Softmax for Incremental Learning. ICCV 2021: 824-833 - 2020
- [c3]Sangwon Jung, Hongjoon Ahn, Sungmin Cha, Taesup Moon:
Continual Learning with Node-Importance based Adaptive Group Sparse Regularization. NeurIPS 2020 - [c2]Hongjoon Ahn, Taesup Moon:
Iterative Channel Estimation for Discrete Denoising under Channel Uncertainty. UAI 2020: 91-100 - 2019
- [c1]Hongjoon Ahn, Sungmin Cha, Donggyu Lee, Taesup Moon:
Uncertainty-based Continual Learning with Adaptive Regularization. NeurIPS 2019: 4394-4404
Informal and Other Publications
- 2024
- [i7]Hongjoon Ahn, Jinu Hyeon, Youngmin Oh, Bosun Hwang, Taesup Moon:
Reset & Distill: A Recipe for Overcoming Negative Transfer in Continual Reinforcement Learning. CoRR abs/2403.05066 (2024) - [i6]Heewoong Choi, Sangwon Jung, Hongjoon Ahn, Taesup Moon:
Listwise Reward Estimation for Offline Preference-based Reinforcement Learning. CoRR abs/2408.04190 (2024) - 2022
- [i5]Hongjoon Ahn, Yongyi Yang, Quan Gan, David Wipf, Taesup Moon:
Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks. CoRR abs/2206.11081 (2022) - 2020
- [i4]Sangwon Jung, Hongjoon Ahn, Sungmin Cha, Taesup Moon:
Adaptive Group Sparse Regularization for Continual Learning. CoRR abs/2003.13726 (2020) - [i3]Hongjoon Ahn, Taesup Moon:
A Simple Class Decision Balancing for Incremental Learning. CoRR abs/2003.13947 (2020) - 2019
- [i2]Hongjoon Ahn, Taesup Moon:
Iterative Channel Estimation for Discrete Denoising under Channel Uncertainty. CoRR abs/1902.08921 (2019) - [i1]Hongjoon Ahn, Donggyu Lee, Sungmin Cha, Taesup Moon:
Uncertainty-based Continual Learning with Adaptive Regularization. CoRR abs/1905.11614 (2019)
Coauthor Index
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