| Mitigating Dataset Bias in Image Captioning Through Clip Confounder-Free Captioning Network |
Yeonju Kim, Junho Kim, Byung-Kwan Lee, Sebin Shin, and Yong Man Ro |
2023-10-08 |
ICIP 2023 |
KAIST |
| Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine Learning |
Byung-Kwan Lee, Junho Kim, Yong Man Ro |
2023-10-02 |
ICCV 2023 |
KAIST |
| Beyond Single Path Integrated Gradients for Reliable Input Attribution via Randomized Path Sampling |
Giyoung Jeon, Haedong Jeong, Jaesik Choi |
2023-10-02 |
ICCV 2023 |
LG AI Research, KAIST, UNIST, INEEJI |
| Bridged Adversarial Training |
Hoki Kim, Woojin Lee, Sungyoon Lee, Jaewook Lee |
2023-10-01 |
Neural networks : the official journal of the International Neural Network Society |
Seoul National Uni. |
| Deep Imbalanced Time-series Forecasting via Local Discrepancy Density |
Junwoo Park, Jungsoo Lee, Youngin Cho, Woncheol Shin, Dongmin Kim, Jaegul Choo, Edward Choi |
2023-09-18 |
ECML-PKDD 2023 |
KAIST |
| Fast sharpness-aware training for periodic time series classification and forecasting |
Jinseong Park, Hoki Kim, Yujin Choi, Woojin Lee, Jaewook Lee |
2023-09-01 |
Applied soft computing |
Seoul National Uni. |
| Fast and Differentially Private Fair Clustering |
Junyoung Byun, Jaewook Lee |
2023-08-19 |
IJCAI 2023 |
Seoul National Uni. |
| Denoising MCMC for Accelerating Diffusion-Based Generative Models |
Beomsu Kim, Jong Chul Ye |
2023-07-23 |
ICML 2023 |
KAIST |
| RGE: A Repulsive Graph Rectification for Node Classification via Influence |
Jaeyun Song, SungYub Kim, Eunho Yang |
2023-07-23 |
ICML 2023 |
KAIST |
| Minimizing Trajectory Curvature of ODE-based Generative Models |
Sangyun Lee, Beomsu Kim, Jong Chul Ye |
2023-07-23 |
ICML 2023 |
Soongsil Uni., KAIST |
