Huiwon Jang
Graduate student at KAIST
KAIST AI
huiwoen0516 [AT] kaist.ac.kr
About
I am a M.S. candidate at Korea Advanced Institute of Science and Technology (KAIST), advised by Prof. Jinwoo Shin. Prior to this, I received B.S. in Mathematical Science and Computer Science at KAIST in 2023. My recent research interests focus on self-supervised learning and meta-learning.
Publications
Modality-agnostic Self-supervised Learning with Meta-learned Masked Auto-encoder
Huiwon Jang*, Jihoon Tack*, Daewon Choi, Jongheon Jeong, Jinwoo Shin
Conference on Neural Information Processing Systems (NeurIPS), 2023
Unsupervised Meta-learning via Few-shot Pseudo-supervised Contrastive Learning
Huiwon Jang*, Hankook Lee*, Jinwoo Shin
International Conference on Learning Representations (ICLR), 2023, Spotlight Presentation (280/4956=5.6%)
Neural Information Processing Systems Workshop on Meta-Learning (NeurIPSW-MetaLearn), 2022
Modality-agnostic Self-supervised Learning with Meta-learned Masked Auto-encoder
Huiwon Jang*, Jihoon Tack*, Daewon Choi, Jongheon Jeong, Jinwoo Shin
Conference on Neural Information Processing Systems (NeurIPS), 2023
Unsupervised Meta-learning via Few-shot Pseudo-supervised Contrastive Learning
Huiwon Jang*, Hankook Lee*, Jinwoo Shin
International Conference on Learning Representations (ICLR), 2023, Spotlight Presentation (280/4956=5.6%)
Neural Information Processing Systems Workshop on Meta-Learning (NeurIPSW-MetaLearn), 2022
AltUB: Alternating Training Method to Update Base Distribution of Normalizing Flow for Anomaly Detection
Yeongmin Kim*, Huiwon Jang*, Dongkeon Lee, Hojin Choi
Arxiv preprint, 2022
Education
Korea Advanced Institute of Science and Technology (KAIST)Mar. 2023 - Present
M.S. Student in Artificial Intelligence
Korea Advanced Institute of Science and Technology (KAIST)Mar. 2019 - Feb. 2023
B.S. in Mathematical Science and Computer Science
Experience
AI Research InternOct. 2022 - Oct. 2023
i-SENSHonors & Awards
Travel Award ($1,000), International Conference on Learning Representations (ICLR)May. 2023
Recipient ($3,000), Google Conference Scholarships (APAC)May. 2023
Invited Talks
Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder
Samsung Advanced Institue of Technology (SAIT)Jun. 2023
Unsupervised Meta-learning via Few-shot Pseudo-supervised Contrastive Learning
International Conference on Learning Representations (ICLR)May. 2023