Taeeon Park

According to our database, Taeeon Park authored at least 7 papers between 2019 and 2025.

Collaborative distances:

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

2025

FairDRO: Group fairness regularization via classwise robust optimization.

Taeeon Park, Sangwon Jung, Sanghyuk Chun, Taesup Moon

Neural Networks, 2025

2023

Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization.

Sangwon Jung, Taeeon Park, Sanghyuk Chun, Taesup Moon

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

2021

GAN2GAN: Generative Noise Learning for Blind Denoising with Single Noisy Images.

Sungmin Cha, Taeeon Park, Byeongjoon Kim, Jongduk Baek, Taesup Moon

Proceedings of the 9th International Conference on Learning Representations, 2021

Fair Feature Distillation for Visual Recognition.

Sangwon Jung, Donggyu Lee, Taeeon Park, Taesup Moon

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Unsupervised Neural Universal Denoiser for Finite-Input General-Output Noisy Channel.

Taeeon Park, Taesup Moon

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

GAN2GAN: Generative Noise Learning for Blind Image Denoising with Single Noisy Images.

Sungmin Cha, Taeeon Park, Taesup Moon

CoRR, 2019