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Jihoon Tack


Contact: jihoontack@{kaist.ac.kr, gmail.com}

About

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

My research focuses on designing algorithms to tackle distributional shifts in machine learning, i.e., training and testing distribution differs. To this end, I focus on developing (i) quick adaptation algorithms for unseen distributions or tasks, and (ii) robust representation learning frameworks. In addition, I have a broad interest in handling complex signals efficiently by utilizing implicit neural representations.

Topics of interest: Meta-Learning, Distributional Shift Robustness, Implicit Neural Representation

Publications

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

[C9] STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables
Jaehyun Nam, Jihoon Tack, Kyungmin Lee, Hankook Lee, Jinwoo Shin
International Conference on Learning Representations (ICLR) 2023, Spotlight presentation
NeurIPS Workshop on Table Representation Learning (NeurIPSW-TRL) 2022
paper
[C8] Rethinking the Entropy of Instance in Adversarial Training
Minseon Kim, Jihoon Tack, Jinwoo Shin, Sung Ju Hwang
IEEE Conference on Secure and Trustworthy Machine Learning (SaTML) 2023
ICML Workshop on Adversarial Machine Learning (ICMLW-AdvML) 2021
paper
[C7] 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
paper | code | slide | poster
[C6] K-centered Patch Sampling for Efficient Video Recognition
Seong Hyeon Park, Jihoon Tack, Byeongho Heo, Jung-Woo Ha, Jinwoo Shin
European Conference on Computer Vision (ECCV) 2022
paper | code
[C5] Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks
Sihyun Yu*, Jihoon Tack*, Sangwoo Mo*, Hyunsu Kim, Junho Kim, Jung-Woo Ha,
Jinwoo Shin
International Conference on Learning Representations (ICLR) 2022
CVPR Workshop on AI for Content Creation (CVPRW-AI4CC) 2022
paper | code | slide | project page
[C4] Consistency Regularization for Adversarial Robustness
Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin
AAAI Conference on Artificial Intelligence (AAAI) 2022
ICML Workshop on Adversarial Machine Learning (ICMLW-AdvML) 2021, Oral presentation
paper | code | slide | poster
[C3] Meta-Learning Sparse Implicit Neural Representations
Jaeho Lee*, Jihoon Tack*, Namhoon Lee, Jinwoo Shin
Conference on Neural Information Processing Systems (NeurIPS) 2021
Sparsity in Neural Networks Workshop (SNN) 2021
paper | code | slide | poster
[C2] CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances
Jihoon Tack*, Sangwoo Mo*, Jongheon Jeong, Jinwoo Shin
Conference on Neural Information Processing Systems (NeurIPS) 2020
Qualcomm Innovation Fellowship Korea 2020
paper | code | slide | poster
[C1] Adversarial Self-Supervised Contrastive Learning
Minseon Kim, Jihoon Tack, Sung Ju Hwang
Conference on Neural Information Processing Systems (NeurIPS) 2020
paper | code | project page
[W1] Consistency Regularization for Training Confidence-Calibrated Classifiers
Youngbum Hur*, Jihoon Tack*, Eunho Yang, Sung Ju Hwang, Jinwoo Shin
ICML Workshop on Uncertainty & Robustness in Deep Learning (ICMLW-UDL) 2021
paper

Education

Honor & Award

Talks

Academic Services

Projects