Hongjoon Ahn

According to our database, Hongjoon Ahn authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Reset & Distill: A Recipe for Overcoming Negative Transfer in Continual Reinforcement Learning.

Hongjoon Ahn, Jinu Hyeon, Youngmin Oh, Bosun Hwang, Taesup Moon

CoRR, 2024

Listwise Reward Estimation for Offline Preference-based Reinforcement Learning.

Heewoong Choi, Sangwon Jung, Hongjoon Ahn, Taesup Moon

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2022

GAN-Based Framework for Unified Estimation of Process-Induced Random Variation in FinFET.

Taeeon Park, Jihwan Kwak, Hongjoon Ahn, Jinwoong Lee, Jaehyuk Lim, Sangho Yu, Changhwan Shin, Taesup Moon

IEEE Access, 2022

Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks.

Hongjoon Ahn, Yongyi Yang, Quan Gan, Taesup Moon, David P. Wipf

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

SS-IL: Separated Softmax for Incremental Learning.

Hongjoon Ahn, Jihwan Kwak, Subin Lim, Hyeonsu Bang, Hyojun Kim, Taesup Moon

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

A Simple Class Decision Balancing for Incremental Learning.

Hongjoon Ahn, Taesup Moon

CoRR, 2020

Adaptive Group Sparse Regularization for Continual Learning.

Sangwon Jung, Hongjoon Ahn, Sungmin Cha, Taesup Moon

CoRR, 2020

Iterative Channel Estimation for Discrete Denoising under Channel Uncertainty.

Hongjoon Ahn, Taesup Moon

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Continual Learning with Node-Importance based Adaptive Group Sparse Regularization.

Sangwon Jung, Hongjoon Ahn, Sungmin Cha, Taesup Moon

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Uncertainty-based Continual Learning with Adaptive Regularization.

Hongjoon Ahn, Sungmin Cha, Donggyu Lee, Taesup Moon

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019