Jihun Yi

According to our database, Jihun Yi authored at least 8 papers between 2017 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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

Removing Undesirable Feature Contributions Using Out-of-Distribution Data.

Saehyung Lee, Changhwa Park, Hyungyu Lee, Jihun Yi, Jonghyun Lee, Sungroh Yoon

Proceedings of the 9th International Conference on Learning Representations, 2021

BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation.

Jungbeom Lee, Jihun Yi, Chaehun Shin, Sungroh Yoon

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Information-Theoretic Visual Explanation for Black-Box Classifiers.

Jihun Yi, Eunji Kim, Siwon Kim, Sungroh Yoon

CoRR, 2020

Interpretation of NLP models through input marginalization.

Siwon Kim, Jihun Yi, Eunji Kim, Sungroh Yoon

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

iCaps: An Interpretable Classifier via Disentangled Capsule Networks.

Dahuin Jung, Jonghyun Lee, Jihun Yi, Sungroh Yoon

Proceedings of the Computer Vision - ECCV 2020, 2020

Patch SVDD: Patch-Level SVDD for Anomaly Detection and Segmentation.

Jihun Yi, Sungroh Yoon

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2017

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, Sungroh Yoon

CoRR, 2017