| CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances J Tack*, S Mo*, J Jeong, J Shin NeurIPS, 2020 | 681 | 2020 |
| Adversarial Self-Supervised Contrastive Learning M Kim, J Tack, SJ Hwang NeurIPS, 2020 | 292 | 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 | 212 | 2022 |
| Consistency Regularization for Adversarial Robustness J Tack, S Yu, J Jeong, M Kim, SJ Hwang, J Shin AAAI, 2022 | 62 | 2022 |
| Meta-Learning Sparse Implicit Neural Representations J Lee*, J Tack*, N Lee, J Shin NeurIPS, 2021 | 39 | 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 | 30 | 2023 |
| Modality-Agnostic Variational Compression of Implicit Neural Representations JR Schwarz*, J Tack*, YW Teh, J Lee, J Shin ICML, 2023 | 20 | 2023 |
| K-centered Patch Sampling for Efficient Video Recognition SH Park, J Tack, B Heo, JW Ha, J Shin ECCV, 2022 | 17 | 2022 |
| 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 | 14 | 2024 |
| Rethinking the Entropy of Instance in Adversarial Training M Kim, J Tack, J Shin, SJ Hwang IEEE SaTML, 2023 | 12* | 2023 |
| Tabular Transfer Learning via Prompting LLMs J Nam, W Song, SH Park, J Tack, S Yun, J Kim, KH Oh, J Shin COLM, 2024 | 10* | 2024 |
| Meta-Learning with Self-Improving Momentum Target J Tack, J Park, H Lee, J Lee, J Shin NeurIPS, 2022 | 9 | 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 | 8* | 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 | 3 | 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 |
| Sparsified State-Space Models are Efficient Highway Networks W Song, J Tack, S Mo, S Oh, J Shin NeurIPS Workshop on Efficient Natural Language and Speech Processing, 2024 | | 2024 |
| ReMoDetect: Reward Models Recognize Aligned LLM's Generations H Lee*, J Tack*, J Shin NeurIPS, 2024 | | 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 | | 2024 |
Jinwoo ShinKAIST Endowed Chair Professorkaist.ac.kr의 이메일 확인됨
Jongheon JeongAssistant Professor, Korea Universitykorea.ac.kr의 이메일 확인됨
Minseon KimPostdoctoral Researcher, Microsoft Researchmicrosoft.com의 이메일 확인됨
Sung Ju HwangKAIST, DeepAutokaist.ac.kr의 이메일 확인됨
Sihyun YuPh.D. student, KAISTkaist.ac.kr의 이메일 확인됨
Jaeho LeePOSTECH; Googlepostech.ac.kr의 이메일 확인됨
Jung-Woo HaResearch Fellow@NAVER AI Lab, Head of Future AI Center@NAVERnavercorp.com의 이메일 확인됨
Jonathan Richard SchwarzThomson Reutersthomsonreuters.com의 이메일 확인됨
Jaehyun NamPh.D. student, KAISTkaist.ac.kr의 이메일 확인됨
Junho KimNAVER AI Labnavercorp.com의 이메일 확인됨
Hyunsu KimBucketplacebucketplace.net의 이메일 확인됨
Jaehyung KimAssistant Professor at Yonsei Universityyonsei.ac.kr의 이메일 확인됨
Yee Whye TehProfessor of Statistical Machine Learning, Oxford, Research Scientist, DeepMindstats.ox.ac.uk의 이메일 확인됨
Seong Hyeon ParkKAIST AIkaist.ac.kr의 이메일 확인됨
Namhoon LeePOSTECH; Googlepostech.ac.kr의 이메일 확인됨
Kyungmin LeeKAISTkaist.ac.kr의 이메일 확인됨
Sukmin YunAssistant Professor, Hanyang University - ERICAhanyang.ac.kr의 이메일 확인됨
Subin KimKAIST AIkaist.ac.kr의 이메일 확인됨