| CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances J Tack*, S Mo*, J Jeong, J Shin Advances in Neural Information Processing Systems 33, 11839-11852, 2020 | 667 | 2020 |
| SPot-the-Difference Self-supervised Pre-training for Anomaly Detection and Segmentation Y Zou, J Jeong, L Pemula, D Zhang, O Dabeer Proceedings of the 17th European Conference on Computer Vision, 392-408, 2022 | 288 | 2022 |
| M2m: Imbalanced Classification via Major-to-minor Translation J Kim*, J Jeong*, J Shin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 273 | 2020 |
| WinCLIP: Zero-/few-shot Anomaly Classification and Segmentation J Jeong, Y Zou, T Kim, D Zhang, A Ravichandran, O Dabeer Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 190 | 2023 |
| NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation T Gong, J Jeong, T Kim, Y Kim, J Shin, SJ Lee Advances in Neural Information Processing Systems, 2022 | 146* | 2022 |
| Consistency Regularization for Certified Robustness of Smoothed Classifiers J Jeong, J Shin Advances in Neural Information Processing Systems 33, 10558-10570, 2020 | 98 | 2020 |
| Training GANs with Stronger Augmentations via Contrastive Discriminator J Jeong, J Shin International Conference on Learning Representations, 2021 | 79 | 2021 |
| Consistency Regularization for Adversarial Robustness J Tack, S Yu, J Jeong, M Kim, SJ Hwang, J Shin Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 8414-8422, 2022 | 62 | 2022 |
| SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness J Jeong, S Park, M Kim, HC Lee, DG Kim, J Shin Advances in Neural Information Processing Systems 34, 30153-30168, 2021 | 58 | 2021 |
| OpenCoS: Contrastive Semi-supervised Learning for Handling Open-set Unlabeled Data J Park, S Yun, J Jeong, J Shin ECCV Workshop on Learning from Limited and Imperfect Data (L2ID), 2022 | 36 | 2022 |
| Collaborative Score Distillation for Consistent Visual Editing S Kim*, K Lee*, JS Choi, J Jeong, K Sohn, J Shin Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 35* | 2023 |
| Representation alignment for generation: Training diffusion transformers is easier than you think S Yu, S Kwak, H Jang, J Jeong, J Huang, J Shin, S Xie arXiv preprint arXiv:2410.06940, 2024 | 17 | 2024 |
| Guiding Energy-based Models via Contrastive Latent Variables H Lee, J Jeong, S Park, J Shin International Conference on Learning Representations, 2023 | 16 | 2023 |
| Training CNNs with Selective Allocation of Channels J Jeong, J Shin Proceedings of the 36th International Conference on Machine Learning 97 …, 2019 | 16 | 2019 |
| AutoML Challenge: AutoML Framework using Random Space Partitioning Optimizer J Kim, J Jeong, S Choi Workshop on Automated Machine Learning (AutoML), ICML, 1-4, 2016 | 8 | 2016 |
| Multi-scale Diffusion Denoised Smoothing J Jeong, J Shin Advances in Neural Information Processing Systems 36, 2024 | 7 | 2024 |
| Confidence-aware Training of Smoothed Classifiers for Certified Robustness J Jeong, S Kim, J Shin Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8005-8013, 2023 | 5 | 2023 |
| Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models K Kim, J Jeong, M An, M Ghavamzadeh, K Dvijotham, J Shin, K Lee arXiv preprint arXiv:2404.01863, 2024 | 2 | 2024 |
| Few-shot Anomaly Detection via Personalization S Kwak, J Jeong, H Lee, W Kim, D Seo, W Yun, W Lee, J Shin IEEE Access, 2024 | 2 | 2024 |
| DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing JS Choi, K Lee, J Jeong, S Xie, J Shin, K Lee arXiv preprint arXiv:2410.05694, 2024 | 1 | 2024 |
Jinwoo ShinKAIST Endowed Chair ProfessorVerified email at kaist.ac.kr
