Energy-Based Sequence GANs for Recommendation and Their Connection to Imitation Learning. - Jaeyoon Yoo; Heonseok Ha; Jihun Yi; Jongha Ryu; Chanju Kim; Jung-Woo Ha; Young-Han Kim 001; Sungroh Yoon (CoRR, 2017)

Patch SVDD: Patch-Level SVDD for Anomaly Detection and Segmentation. - Jihun Yi; Sungroh Yoon (ACCV (6), 2020)

iCaps: An Interpretable Classifier via Disentangled Capsule Networks. - Dahuin Jung; Jonghyun Lee 004; Jihun Yi; Sungroh Yoon (ECCV (19), 2020)

Interpretation of NLP models through input marginalization. - Siwon Kim; Jihun Yi; Eunji Kim 002; Sungroh Yoon (EMNLP (1), 2020)

Information-Theoretic Visual Explanation for Black-Box Classifiers. - Jihun Yi; Eunji Kim 002; Siwon Kim; Sungroh Yoon (CoRR, 2020)

BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation. - Jungbeom Lee; Jihun Yi; Chaehun Shin; Sungroh Yoon (CVPR, 2021)

Removing Undesirable Feature Contributions Using Out-of-Distribution Data. - Saehyung Lee; Changhwa Park; Hyungyu Lee; Jihun Yi; Jonghyun Lee 004; Sungroh Yoon (ICLR, 2021)

Deep Learning for Anomaly Detection in Time-Series Data: Review, Analysis, and Guidelines. - Kukjin Choi; Jihun Yi; Changhwa Park; Sungroh Yoon (IEEE Access, 2021)

Interactive Text-to-Image Retrieval with Large Language Models: A Plug-and-Play Approach. - Saehyung Lee; Sangwon Yu; Junsung Park; Jihun Yi; Sungroh Yoon (ACL (1), 2024)

CKNN: Cleansed k-Nearest Neighbor for Unsupervised Video Anomaly Detection. - Jihun Yi; Sungroh Yoon (CIKM, 2024)

Self-Supervised Time-Series Anomaly Detection Using Learnable Data Augmentation. - Kukjin Choi; Jihun Yi; Jisoo Mok; Sungroh Yoon (CoRR, 2024)

Normality Addition via Normality Detection in Industrial Image Anomaly Detection Models. - Jihun Yi; Dahuin Jung; Sungroh Yoon (CoRR, 2024)