20 citations · 32 across the 9 of their papers we have counts for
9 papers
Fairness-Aware Mixture-of-Experts via Subgroup Reweighting and Gate Regularization
Sunhee Hwang
Deep learning models often produce performance disparities across demographic groups, due to the training data imbalance with respect to sensitive attributes such as gender or age.…
ChatGPT and Its Educational Impact: Insights from a Software Development Competition
Sunhee Hwang, Yudoo Kim, Heejin Lee
This study explores the integration and impact of ChatGPT, a generative AI that utilizes natural language processing, in an educational environment. The main goal is to evaluate ho…
Source-free Subject Adaptation for EEG-based Visual Recognition
Pilhyeon Lee, Seogkyu Jeon, Sunhee Hwang +2
This paper focuses on subject adaptation for EEG-based visual recognition. It aims at building a visual stimuli recognition system customized for the target subject whose EEG sampl…
Fair Contrastive Learning for Facial Attribute Classification
Sungho Park, Jewook Lee, Pilhyeon Lee +3
Learning visual representation of high quality is essential for image classification. Recently, a series of contrastive representation learning methods have achieved preeminent suc…
Cut and Continuous Paste towards Real-time Deep Fall Detection
Sunhee Hwang, Minsong Ki, Seung-Hyun Lee +2
Deep learning based fall detection is one of the crucial tasks for intelligent video surveillance systems, which aims to detect unintentional falls of humans and alarm dangerous si…
Inter-subject Contrastive Learning for Subject Adaptive EEG-based Visual Recognition
Pilhyeon Lee, Sunhee Hwang, Jewook Lee +3
This paper tackles the problem of subject adaptive EEG-based visual recognition. Its goal is to accurately predict the categories of visual stimuli based on EEG signals with only a…
Subject Adaptive EEG-based Visual Recognition
Pilhyeon Lee, Sunhee Hwang, Seogkyu Jeon +1
This paper focuses on EEG-based visual recognition, aiming to predict the visual object class observed by a subject based on his/her EEG signals. One of the main challenges is the…
FairFaceGAN: Fairness-aware Facial Image-to-Image Translation
Sunhee Hwang, Sungho Park, Dohyung Kim +2
In this paper, we introduce FairFaceGAN, a fairness-aware facial Image-to-Image translation model, mitigating the problem of unwanted translation in protected attributes (e.g., gen…
README: REpresentation learning by fairness-Aware Disentangling MEthod
Sungho Park, Dohyung Kim, Sunhee Hwang +1
Fair representation learning aims to encode invariant representation with respect to the protected attribute, such as gender or age. In this paper, we design Fairness-aware Disenta…