Jihoon Tack

Cited by

	All	Since 2020
Citations	1499	1496
h-index	11	11
i10-index	12	12

520

260

130

390

2020202120222023202420259 144 300 454 505 82

Co-authors

Jinwoo ShinICT Endowed Chair ProfessorVerified email at kaist.ac.kr
Jongheon JeongAssistant Professor, Korea UniversityVerified email at korea.ac.kr
Minseon KimPostdoctoral Researcher, Microsoft ResearchVerified email at microsoft.com
Sung Ju HwangKAIST, DeepAutoVerified email at kaist.ac.kr
Sihyun YuPh.D. student, KAISTVerified email at kaist.ac.kr
Jaeho LeePOSTECH; GoogleVerified email at postech.ac.kr
Jung-Woo HaResearch Fellow@NAVER AI Lab, Head of Future AI Center@NAVERVerified email at navercorp.com
Jonathan Richard SchwarzThomson ReutersVerified email at thomsonreuters.com
Jaehyun NamPh.D. student, KAISTVerified email at kaist.ac.kr
Jaehyung KimAssistant Professor, Yonsei UniversityVerified email at yonsei.ac.kr
Yee Whye TehProfessor of Statistical Machine Learning, Oxford, Research Scientist, DeepMindVerified email at stats.ox.ac.uk
Junho KimNAVER AI LabVerified email at navercorp.com
Hyunsu KimBucketplaceVerified email at bucketplace.net
Seong Hyeon ParkKAIST AIVerified email at kaist.ac.kr
Hankook LeeAssistant Professor, Department of Computer Science and Engineering at Sungkyunkwan UniversityVerified email at skku.edu
Woomin SongPh.D Student, KAISTVerified email at kaist.ac.kr
Namhoon LeePOSTECH; GoogleVerified email at postech.ac.kr
Kyungmin LeeKAISTVerified email at kaist.ac.kr
Sukmin YunAssistant Professor, Hanyang University - ERICAVerified email at hanyang.ac.kr
Subin KimKAIST AIVerified email at kaist.ac.kr

Jihoon Tack

Ph.D. student, KAIST

Verified email at kaist.ac.kr - Homepage

Machine Learning Deep Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances J Tack, S Mo, J Jeong, J Shin NeurIPS, 2020	717	2020
Adversarial Self-Supervised Contrastive Learning M Kim, J Tack, SJ Hwang NeurIPS, 2020	299	2020
Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks S Yu, J Tack, S Mo*, H Kim, J Kim, JW Ha, J Shin ICLR, 2022	224	2022
Consistency Regularization for Adversarial Robustness J Tack, S Yu, J Jeong, M Kim, SJ Hwang, J Shin AAAI, 2022	69	2022
Meta-Learning Sparse Implicit Neural Representations J Lee, J Tack, N Lee, J Shin NeurIPS, 2021	44	2021
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables J Nam, J Tack, K Lee, H Lee, J Shin ICLR, 2023	36	2023
Modality-Agnostic Variational Compression of Implicit Neural Representations JR Schwarz, J Tack, YW Teh, J Lee, J Shin ICML, 2023	24	2023
Online adaptation of language models with a memory of amortized contexts J Tack, J Kim, E Mitchell, J Shin, YW Teh, JR Schwarz NeurIPS, 2024	17	2024
K-centered Patch Sampling for Efficient Video Recognition SH Park, J Tack, B Heo, JW Ha, J Shin ECCV, 2022	16	2022
Tabular Transfer Learning via Prompting LLMs J Nam, W Song, SH Park, J Tack, S Yun, J Kim, KH Oh, J Shin COLM, 2024	13*	2024
Rethinking the Entropy of Instance in Adversarial Training M Kim, J Tack, J Shin, SJ Hwang IEEE SaTML, 2023	12*	2023
Meta-Learning with Self-Improving Momentum Target J Tack, J Park, H Lee, J Lee, J Shin NeurIPS, 2022	11	2022
Learning Large-scale Neural Fields via Context Pruned Meta-Learning J Tack, S Kim, S Yu, J Lee, J Shin, JR Schwarz NeurIPS, 2023	7*	2023
Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning J Nam, K Kim, S Oh, J Tack, J Kim, J Shin NeurIPS, 2024	5	2024
Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Experts S Chen, J Tack, Y Yang, YW Teh, JR Schwarz, Y Wei ICML, 2024	3	2024
ReMoDetect: Reward Models Recognize Aligned LLM's Generations H Lee, J Tack, J Shin NeurIPS, 2024	1	2024
Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder H Jang, J Tack, D Choi, J Jeong, J Shin NeurIPS, 2023	1	2023
Learning to Contextualize Web Pages for Enhanced Decision Making by LLM Agents D Lee, J Lee, K Kim, J Tack, J Shin, YW Teh, K Lee ICLR, 2025		2025
ReVISE: Learning to Refine at Test-Time via Intrinsic Self-Verification H Lee, S Oh, J Kim, J Shin, J Tack arXiv preprint arXiv:2502.14565, 2025		2025
LLM Pretraining with Continuous Concepts J Tack, J Lanchantin, J Yu, A Cohen, I Kulikov, J Lan, S Hao, Y Tian, ... arXiv preprint arXiv:2502.08524, 2025		2025

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