Oh, Seong Joon

CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features

Yun, S., Han, D., Oh, S. J., Chun, S., Choe, J., & Yoo, Y. (2019) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 5,439

CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features

Yun, S., Han, D., Chun, S., Oh, S. J., Yoo, Y., & Choe, J. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 5,400

Towards Reverse-Engineering Black-Box Neural Networks

Oh, S. J., Schiele, B., & Fritz, M. (2019) · Lecture Notes in Computer Science

Adversarial Robustness in Machine LearningExplainable Artificial Intelligence (XAI)

Cited by 291

Modeling Uncertainty with Hedged Instance Embedding

Oh, S. J., Murphy, K., Pan, J., Roth, J., Schroff, F., & Gallagher, A. (2018) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 55

An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods

Chun, S., Oh, S. J., Yun, S., Han, D., Choe, J., & Yoo, Y. (2020) · arXiv

Adversarial Robustness in Machine LearningAdvanced Neural Network Applications

Cited by 37

C-SEO Bench: Does Conversational SEO Work?

Puerto, H., Gubri, M., Green, T., Oh, S. J., & Yun, S. (2025) · arXiv

Information Retrieval and Search BehaviorWeb visibility and informetrics

Cited by 0