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Jongjin Park


Contact: jongjin.park at kaist.ac.kr

About

I am a Ph.D. student at ALIN-LAB, advised by Prof. Jinwoo Shin at Korea Advanced Institute of Science and Technology (KAIST).

Publications

(C: Conference, W: Workshop, P: Preprint, *: Equal contribution)

[C6] SuRe: Improving Open-domain Question Answering of LLMs via Summarized Retrieval
Jaehyung Kim, Jaehyun Nam, Sangwoo Mo, Jongjin Park, Sang-woo Lee, Minjoon Seo, Jung-Woo Ha, Jinwoo Shin
International Conference on Learning Representations (ICLR) 2024
[C5] Preference Transformer: Modeling Human Preferences using Transformers for RL
Changyeon Kim*, Jongjin Park*, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee
International Conference on Learning Representations (ICLR) 2023
[C4] Meta-Learning with Self-Improving Momentum Target
Jihoon Tack, Jongjin Park, Hankook Lee, Jaeho Lee, Jinwoo Shin
Conference on Neural Information Processing Systems (NeurIPS) 2022
[arXiv] [code]
[C3/W] SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning
Jongjin Park, Younggyo Seo, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee
International Conference on Learning Representations (ICLR) 2022
NeurIPS Workshop on Deep Reinforcement Learning 2021
[arXiv] [code]
[C2] Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning
Jongjin Park*, Younggyo Seo*, Chang Liu, Li Zhao, Tao Qin, Jinwoo Shin, Tie-Yan Liu
Conference on Neural Information Processing Systems (NeurIPS) 2021
[arXiv] [code]
[C1] Regularizing Class-Wise Predictions via Self-Knowledge Distillation
Sukmin Yun*, Jongjin Park*, Kimin Lee, Jinwoo Shin
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020
[arXiv] [code]
[W1] OpenCoS: Contrastive Semi-supervised Learning for Handling Open-set Unlabeled Data
Jongjin Park*, Sukmin Yun*, Jongheon Jeong, Jinwoo Shin
ECCV Workshop on Learning from Limited and Imperfect Data (L2ID), 2022
[arXiv] [code]

Education