Gwangsu Kim

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 16

Top Topics

Active Learning

Imbalanced Data

Top Venues

Publications

Seong Jin Cho, Gwangsu Kim, Junghyun Lee, Jinwoo Shin, Chang D. Yoo
Querying Easily Flip-flopped Samples for Deep Active Learning. CoRR (2024)
Seong Jin Cho, Gwangsu Kim, Junghyun Lee, Jinwoo Shin, Chang D. Yoo
Querying Easily Flip-flopped Samples for Deep Active Learning. ICLR (2024)
Hee Suk Yoon, Joshua Tian Jin Tee, Eunseop Yoon, Sunjae Yoon, Gwangsu Kim, Yingzhen Li, Chang D. Yoo
ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure. ICLR (2023)
Hee Suk Yoon, Joshua Tian Jin Tee, Eunseop Yoon, Sunjae Yoon, Gwangsu Kim, Yingzhen Li, Chang D. Yoo
ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure. CoRR (2023)
Sunghun Kang, Gwangsu Kim, Chang D. Yoo
Fair Facial Attribute Classification via Causal Graph-Based Attribute Translation. Sensors 22 (14) (2022)
Gwangsu Kim, Chang D. Yoo
Blending Query Strategy of Active Learning for Imbalanced Data. IEEE Access 10 (2022)
Gwangsu Kim, Sangwook Kang
Deep Neural Network Based Accelerated Failure Time Models using Rank Loss. CoRR (2022)
Gwangsu Kim, Chang D. Yoo
Corrections to "Blending Query Strategy of Active Learning for Imbalanced Data". IEEE Access 10 (2022)
Gwangsu Kim, Chang D. Yoo, Seong J. Yang
Survival Analysis of COVID-19 Patients With Symptoms Information by Machine Learning Algorithms. IEEE Access 10 (2022)
Junghyun Lee, Gwangsu Kim, Mahbod Olfat, Mark Hasegawa-Johnson, Chang D. Yoo
Fast and Efficient MMD-Based Fair PCA via Optimization over Stiefel Manifold. AAAI (2022)
Gwangsu Kim, Jaeson Jang, Se-Bum Paik
Periodic clustering of simple and complex cells in visual cortex. Neural Networks 143 (2021)
Junghyun Lee, Gwangsu Kim, Matt Olfat, Mark Hasegawa-Johnson, Chang D. Yoo
Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel Manifold. CoRR (2021)
JiSeong Han, Gwangsu Kim, ChanSeo Lee, YeongKwang Han, Ung Hwang, Sunghwan Kim
Predictive Models of Fire via Deep learning Exploiting Colorific Variation. ICAIIC (2019)
Haeyong Kang, Gwangsu Kim, Chang Dong Yoo
Few-Shot Associative Domain Adaptation for Surface Normal Estimation. ICIP (2019)
Gwangsu Kim, Junyeong Kim, Sunghwan Kim
Fire Detection Using Video Images and Temporal Variations. ICAIIC (2019)
Gwangsu Kim, Taeryon Choi
Asymptotic properties of nonparametric estimation and quantile regression in Bayesian structural equation models. J. Multivar. Anal. 171 (2019)
Nakjung Choi, Jeongran Lee, Gwangsu Kim
A statistical approach to smooth video quality adaptation in IEEE 802.11 wireless LANs. ICTC (2014)