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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
3022020
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
652022
Preference transformer: Modeling human preferences using transformers for rl
C Kim, J Park, J Shin, H Lee, P Abbeel, K Lee
arXiv preprint arXiv:2303.00957, 2023
362023
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
312022
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
182021
Meta-learning with self-improving momentum target
J Tack, J Park, H Lee, J Lee, J Shin
Advances in Neural Information Processing Systems 35, 6318-6332, 2022
62022
SuRe: Improving Open-domain Question Answering of LLMs via Summarized Retrieval
J Kim, J Nam, S Mo, J Park, SW Lee, M Seo, JW Ha, J Shin
The Twelfth International Conference on Learning Representations, 2023
52023
SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs
J Kim, J Nam, S Mo, J Park, SW Lee, M Seo, JW Ha, J Shin
arXiv preprint arXiv:2404.13081, 2024
22024
Regularizing Predictions via Class-wise Self-knowledge Distillation
S Yun, J Park, K Lee, J Shin
2019
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Articles 1–9