Nayeong Kim

Home

Nayeong Kim

I am a Ph.D student in computer science and engineering department at POSTECH, advised by Suha Kwak. My research intersets is developing algorithms which mitigate spurious correlations in real-world datasets. I am a member of Computer Vision Lab at POSTECH. Previously, I received a B.S. in computer science and engineering department from POSTECH in 2017.

Publications

Removing Multiple Biases through the Lens of Multi-task Learning
Nayeong Kim
Juwon Kang
Sungsoo Ahn
Jungseul Ok
Suha Kwak
ICML Workshop on Spurious Correlations, Invariance and Stability (SCIS) 2023
[
paper
]
Leveraging Proxy of Training Data for Test-Time Adaptation
Juwon Kang
Nayeong Kim
Donghyeon Kwon
Jungseul Ok
Suha Kwak
International-Conference-Machine-Learning-(ICML)2023
[
paper
]
Learning Debiased Classifier with Biased Committee
Nayeong Kim
Sehyun Hwang
Sungsoo Ahn
Jaesik Park
Suha Kwak
ICML Workshop on Spurious Correlations, Invariance and Stability (SCIS) 2022
Conference-on-Neural-Information-Processing-Systems-(NeurIPS)2022
[
paper
]
Robust Crowd Counting via Image Enhancement and Dynamic Feature Selection
Nayeong Kim
Suha Kwak
British-Machine-Vision-Conference-(BMVC)2021
[
paper
]

Awards

BK21 Best Paper Award from POSTECH CSE, “Learning Debiased Classifier with Biased Committee” (2023)

Talks

“Learning Debiased Classifier with Biased Committee”, Korean Artificial Intelligence Association Fall conference, NAVER and KAIA, Nov. 2022

Services

Reviewer in ICLR (2024), AAAI (2024), WACV (2024), NeurIPS (2023), ICCV (2023), Tiny Papers @ICLR (2023), ICML (2022)