| CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances J Tack*, S Mo*, J Jeong, J Shin Neural Information Processing Systems (NeurIPS), 2020 | 593 | 2020 |
| Adversarial Self-Supervised Contrastive Learning M Kim, J Tack, SJ Hwang Neural Information Processing Systems (NeurIPS), 2020 | 255 | 2020 |
| Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks S Yu*, J Tack*, S Mo*, H Kim, J Kim, JW Ha, J Shin International Conference on Learning Representations (ICLR), 2022 | 181 | 2022 |
| Consistency Regularization for Adversarial Robustness J Tack, S Yu, J Jeong, M Kim, SJ Hwang, J Shin AAAI Conference on Artificial Intelligence (AAAI), 2022 | 50 | 2022 |
| Meta-Learning Sparse Implicit Neural Representations J Lee*, J Tack*, N Lee, J Shin Neural Information Processing Systems (NeurIPS), 2021 | 27 | 2021 |
| STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables J Nam, J Tack, K Lee, H Lee, J Shin International Conference on Learning Representations (ICLR), 2023 | 20 | 2023 |
| Modality-Agnostic Variational Compression of Implicit Neural Representations JR Schwarz*, J Tack*, YW Teh, J Lee, J Shin International Conference on Machine Learning (ICML), 2023 | 14 | 2023 |
| K-centered Patch Sampling for Efficient Video Recognition SH Park, J Tack, B Heo, JW Ha, J Shin European Conference on Computer Vision (ECCV), 2022 | 11 | 2022 |
| Rethinking the Entropy of Instance in Adversarial Training M Kim, J Tack, J Shin, SJ Hwang IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 2023 | 10* | 2023 |
| Meta-Learning with Self-Improving Momentum Target J Tack, J Park, H Lee, J Lee, J Shin Neural Information Processing Systems (NeurIPS), 2022 | 8 | 2022 |
| Learning Large-scale Neural Fields via Context Pruned Meta-Learning J Tack, S Kim, S Yu, J Lee, J Shin, JR Schwarz Neural Information Processing Systems (NeurIPS), 2023 | 7* | 2023 |
| Semi-supervised tabular classification via in-context learning of large language models J Nam, W Song, SH Park, J Tack, S Yun, J Kim, J Shin Workshop on Efficient Systems for Foundation Models@ ICML2023, 2023 | 6 | 2023 |
| Online adaptation of language models with a memory of amortized contexts J Tack, J Kim, E Mitchell, J Shin, YW Teh, JR Schwarz arXiv preprint arXiv:2403.04317, 2024 | 5 | 2024 |
| Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning J Nam, K Kim, S Oh, J Tack, J Kim, J Shin arXiv preprint arXiv:2406.08527, 2024 | | 2024 |
| ReMoDetect: Reward Models Recognize Aligned LLM's Generations H Lee*, J Tack*, J Shin arXiv preprint arXiv:2405.17382, 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 International Conference on Machine Learning (ICML), 2024 | | 2024 |
| Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder H Jang*, J Tack*, D Choi, J Jeong, J Shin Neural Information Processing Systems (NeurIPS), 2023 | | 2023 |
Jinwoo ShinKAIST Endowed Chair Professor在 kaist.ac.kr 的电子邮件经过验证
