Jeong, Haedong

5 publications

ICCV 2023 Beyond Single Path Integrated Gradients for Reliable Input Attribution via Randomized Path Sampling Giyoung Jeon, Haedong Jeong, Jaesik Choi

AAAI 2022 An Unsupervised Way to Understand Artifact Generating Internal Units in Generative Neural Networks Haedong Jeong, Jiyeon Han, Jaesik Choi

NeurIPS 2022 Distilled Gradient Aggregation: Purify Features for Input Attribution in the Deep Neural Network Giyoung Jeon, Haedong Jeong, Jaesik Choi

CVPR 2021 Automatic Correction of Internal Units in Generative Neural Networks Ali Tousi, Haedong Jeong, Jiyeon Han, Hwanil Choi, Jaesik Choi

AAAI 2020 An Efficient Explorative Sampling Considering the Generative Boundaries of Deep Generative Neural Networks Giyoung Jeon, Haedong Jeong, Jaesik Choi