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Jongjin Park
Jongjin Park
Ph.D. Student, KAIST
Verified email at kaist.ac.kr - Homepage
Title
Cited by
Cited by
Year
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
1752020
Opencos: Contrastive semi-supervised learning for handling open-set unlabeled data
J Park, S Yun, J Jeong, J Shin
Computer Vision–ECCV 2022 Workshops: Tel Aviv, Israel, October 23–27, 2022 …, 2023
172023
SURF: Semi-supervised reward learning with data augmentation for feedback-efficient preference-based reinforcement learning
J Park, Y Seo, J Shin, H Lee, P Abbeel, K Lee
arXiv preprint arXiv:2203.10050, 2022
162022
Object-aware regularization for addressing causal confusion in imitation learning
J Park, Y Seo, C Liu, L Zhao, T Qin, J Shin, TY Liu
Advances in Neural Information Processing Systems 34, 3029-3042, 2021
72021
Meta-Learning with Self-Improving Momentum Target
J Tack, J Park, H Lee, J Lee, J Shin
arXiv preprint arXiv:2210.05185, 2022
12022
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Articles 1–5