Yun, Sangdoo

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

A Comprehensive Overhaul of Feature Distillation

Heo, B., Kim, J., Yun, S., Park, H., Kwak, N., & Choi, J. Y. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 706

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

What Do Self-Supervised Vision Transformers Learn?

Park, N., Kim, W., Heo, B., Kim, T., & Yun, S. (2023) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 29

Prometheus: Inducing Fine-grained Evaluation Capability in Language Models

Kim, S., Shin, J., Cho, Y., Jang, J., Longpre, S., Lee, H., Yun, S., Shin, S., Kim, S., Thorne, J., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 15

Leaky Thoughts: Large Reasoning Models Are Not Private Thinkers

Green, T., Gubri, M., Puerto, H., Yun, S., & Oh, S. J. (2025) · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 10

Who wrote this code? Watermarking for code generation

Lee, T., Hong, S., Ahn, J., Hong, I., Lee, H., Yun, S., Shin, J., & Kim, G. (2023) · arXiv

Software Engineering ResearchAdvanced Steganography and Watermarking Techniques

Cited by 4

Leaky Thoughts: Large Reasoning Models Are Not Private Thinkers

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

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 3

KVzip: Query-Agnostic KV Cache Compression with Context Reconstruction

Kim, J.-H., Kim, J., Kwon, S., Lee, J. W., Yun, S., & Song, H. O. (2025) · Advances in Neural Information Processing Systems 38

Topic ModelingAdvanced Neural Network Applications

Cited by 1

KVzip: Query-Agnostic KV Cache Compression with Context Reconstruction

Kim, J.-H., Kim, J., Kwon, S., Lee, J. W., Yun, S., & Song, H. O. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0