Huiwon Jang

Graduate student at KAIST

KAIST AI

huiwoen0516 [AT] kaist.ac.kr

About

I am a PhD student 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-SENS

Honors & Awards

Travel Award, Conference on Neural Information Processing Systems (NeurIPS)Dec. 2023

Travel Award, International Conference on Learning Representations (ICLR)May. 2023

Recipient, Google Conference Scholarships (APAC)May. 2023

Invited Talks

Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder

Samsung AI Forum (SAIF) 2023Nov. 2023

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