Hongjoon Ahn - RankMe

17 papers A* 6A 1Journal 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Action-Sufficient Goal Representations. CoRR Jinu Hyeon, Woobin Park, Hongjoon Ahn, Taesup Moon
2025	J	`jnl`	Option-aware Temporally Abstracted Value for Offline Goal-Conditioned Reinforcement Learning. CoRR Hongjoon Ahn, Heewoong Choi, Jisu Han, Taesup Moon
2025	A*	`conf`	Prevalence of Negative Transfer in Continual Reinforcement Learning: Analyses and a Simple Baseline. ICLR Hongjoon Ahn, Jinu Hyeon, Youngmin Oh, Bosun Hwang, Taesup Moon
2024	A*	`conf`	Listwise Reward Estimation for Offline Preference-based Reinforcement Learning. ICML Heewoong Choi, Sangwon Jung, Hongjoon Ahn, Taesup Moon
2024	J	`jnl`	Listwise Reward Estimation for Offline Preference-based Reinforcement Learning. CoRR Heewoong Choi, Sangwon Jung, Hongjoon Ahn, Taesup Moon
2024	J	`jnl`	Reset & Distill: A Recipe for Overcoming Negative Transfer in Continual Reinforcement Learning. CoRR Hongjoon Ahn, Jinu Hyeon, Youngmin Oh, Bosun Hwang, Taesup Moon
2022	A*	`conf`	Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks. NeurIPS Hongjoon Ahn, Yongyi Yang, Quan Gan, Taesup Moon, David P. Wipf
2022	J	`jnl`	Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks. CoRR Hongjoon Ahn, Yongyi Yang, Quan Gan, David Wipf, Taesup Moon
2022	J	`jnl`	GAN-Based Framework for Unified Estimation of Process-Induced Random Variation in FinFET. IEEE Access Taeeon Park, Jihwan Kwak, Hongjoon Ahn, Jinwoong Lee, Jaehyuk Lim, Sangho Yu, Changhwan Shin, Taesup Moon
2021	A*	`conf`	SS-IL: Separated Softmax for Incremental Learning. ICCV Hongjoon Ahn, Jihwan Kwak, Subin Lim, Hyeonsu Bang, Hyojun Kim, Taesup Moon
2020	J	`jnl`	A Simple Class Decision Balancing for Incremental Learning. CoRR Hongjoon Ahn, Taesup Moon
2020	J	`jnl`	Adaptive Group Sparse Regularization for Continual Learning. CoRR Sangwon Jung, Hongjoon Ahn, Sungmin Cha, Taesup Moon
2020	A*	`conf`	Continual Learning with Node-Importance based Adaptive Group Sparse Regularization. NeurIPS Sangwon Jung, Hongjoon Ahn, Sungmin Cha, Taesup Moon
2020	A	`conf`	Iterative Channel Estimation for Discrete Denoising under Channel Uncertainty. UAI Hongjoon Ahn, Taesup Moon
2019	J	`jnl`	Iterative Channel Estimation for Discrete Denoising under Channel Uncertainty. CoRR Hongjoon Ahn, Taesup Moon
2019	A*	`conf`	Uncertainty-based Continual Learning with Adaptive Regularization. NeurIPS Hongjoon Ahn, Sungmin Cha, Donggyu Lee, Taesup Moon
2019	J	`jnl`	Uncertainty-based Continual Learning with Adaptive Regularization. CoRR Hongjoon Ahn, Donggyu Lee, Sungmin Cha, Taesup Moon