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Sukmin Yun
Sukmin Yun
Assistant Professor, Hanyang University - ERICA
hanyang.ac.krÀÇ À̸ÞÀÏ È®ÀÎµÊ - ȨÆäÀÌÁö
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Regularizing class-wise predictions via self-knowledge distillation
S Yun, J Park, K Lee, J Shin
Proceedings of the IEEE/CVF conference on computer vision and pattern ¡¦, 2020
2782020
Robust inference via generative classifiers for handling noisy labels
K Lee, S Yun, K Lee, H Lee, B Li, J Shin
International conference on machine learning, 3763-3772, 2019
1282019
Patch-level representation learning for self-supervised vision transformers
S Yun, H Lee, J Kim, J Shin
Proceedings of the IEEE/CVF conference on computer vision and pattern ¡¦, 2022
452022
Opencos: Contrastive semi-supervised learning for handling open-set unlabeled data
J Park, S Yun, J Jeong, J Shin
European Conference on Computer Vision, 134-149, 2022
292022
Time is matter: Temporal self-supervision for video transformers
S Yun, J Kim, D Han, H Song, JW Ha, J Shin
arXiv preprint arXiv:2207.09067, 2022
102022
Ifseg: Image-free semantic segmentation via vision-language model
S Yun, SH Park, PH Seo, J Shin
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern ¡¦, 2023
52023
Robust determinantal generative classifier for noisy labels and adversarial attacks
K Lee, S Yun, K Lee, H Lee, B Li, J Shin
42018
Semi-supervised tabular classification via in-context learning of large language models
J Nam, W Song, SH Park, J Tack, S Yun, J Kim, J Shin
Workshop on Efficient Systems for Foundation Models@ ICML2023, 2023
32023
Hierarchical context merging: Better long context understanding for pre-trained LLMs
W Song, S Oh, S Mo, J Kim, S Yun, JW Ha, J Shin
The Twelfth International Conference on Learning Representations, 2023
12023
TSPipe: Learn from Teacher Faster with Pipelines
H Lim, Y Kim, S Yun, J Shin, D Han
International Conference on Machine Learning, 13302-13312, 2022
2022
PASS: Patch-Aware Self-Supervision for Vision Transformer
S Yun, H Lee, J Kim, J Shin
2021
Regularizing Predictions via Class-wise Self-knowledge Distillation
S Yun, J Park, K Lee, J Shin
2019
Deep determinantal generative classifier: robustness on noisy and adversarial samples
K Lee, S Yun, K Lee, H Lee, B Li, J Shin
2019
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