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Jihoon Tack

Contact: jihoontack at


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. Such research is critical for many real-world applications with trustworthy and safe usage, e.g., autonomous driving and robotics. To this end, I focus on developing (i) robust representation learning schemes under various distributional shifts and (ii) quick adaptation algorithms for unseen distributions and tasks. In addition, I have a broad interest in handling complex signals efficiently by utilizing implicit neural representations.


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

[C5/W] 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 (AI4CC) 2022
[paper] [code] [slide] [project page]
[C4/W] 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 (AdvML) 2021, Oral presentation
[paper] [code] [slide] [poster]
[C3/W] 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]
[W2] 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 (UDL) 2021
[W1] Entropy Weighted Adversarial Training
Minseon Kim, Jihoon Tack, Jinwoo Shin, Sung Ju Hwang
ICML Workshop on Adversarial Machine Learning (AdvML) 2021


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