| Contrastive learning with hard negative samples J Robinson, CY Chuang, S Sra, S Jegelka International Conference on Learning Representations (ICLR) 2021, 2020 | 900 | 2020 |
| Debiased contrastive learning CY Chuang, J Robinson, L Yen-Chen, A Torralba, S Jegelka Advances in Neural Information Processing Systems 33, 2020 | 710 | 2020 |
| Leveraging video descriptions to learn video question answering KH Zeng, TH Chen, CY Chuang, YH Liao, JC Niebles, M Sun Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017 | 210 | 2017 |
| Show, adapt and tell: Adversarial training of cross-domain image captioner TH Chen, YH Liao, CY Chuang, WT Hsu, J Fu, M Sun Proceedings of the IEEE international conference on computer vision, 521-530, 2017 | 182 | 2017 |
| Fair Mixup: Fairness via Interpolation CY Chuang, Y Mroueh International Conference on Learning Representations (ICLR) 2021, 2021 | 166 | 2021 |
| Learning to Act Properly: Predicting and Explaining Affordances from Images CY Chuang, J Li, A Torralba, S Fidler CVPR, 975-983, 2018 | 115 | 2018 |
| Robust Contrastive Learning against Noisy Views CY Chuang, RD Hjelm, X Wang, V Vineet, N Joshi, A Torralba, S Jegelka, ... CVPR 2022, 2022 | 91 | 2022 |
| Debiasing vision-language models via biased prompts CY Chuang, V Jampani, Y Li, A Torralba, S Jegelka arXiv preprint arXiv:2302.00070, 2023 | 80 | 2023 |
| Movie gen: A cast of media foundation models A Polyak, A Zohar, A Brown, A Tjandra, A Sinha, A Lee, A Vyas, B Shi, ... arXiv preprint arXiv:2410.13720, 2024 | 77 | 2024 |
| Estimating Generalization under Distribution Shifts via Domain-Invariant Representations CY Chuang, A Torralba, S Jegelka International Conference on Machine Learning (ICML), 2020 | 76 | 2020 |
| Tree Mover's Distance: Bridging Graph Metrics and Stability of Graph Neural Networks CY Chuang, S Jegelka Advances in Neural Information Processing Systems 2022, 2022 | 36 | 2022 |
| Measuring Generalization with Optimal Transport CY Chuang, Y Mroueh, K Greenewald, A Torralba, S Jegelka Advances in Neural Information Processing Systems 2021, 2021 | 31 | 2021 |
| Fairy: Fast parallelized instruction-guided video-to-video synthesis B Wu, CY Chuang, X Wang, Y Jia, K Krishnakumar, T Xiao, F Liang, L Yu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 24 | 2024 |
| Infoot: Information maximizing optimal transport CY Chuang, S Jegelka, D Alvarez-Melis International Conference on Machine Learning, 6228-6242, 2023 | 17 | 2023 |
| The inductive bias of flatness regularization for deep matrix factorization K Gatmiry, Z Li, CY Chuang, S Reddi, T Ma, S Jegelka arXiv preprint arXiv:2306.13239, 2023 | 11 | 2023 |
| The Role of Embedding Complexity in Domain-invariant Representations CY Chuang, A Torralba, S Jegelka ICML Adaptive & Multitask Learning Workshop, 2019 | 1 | 2019 |
| Learnings from Scaling Visual Tokenizers for Reconstruction and Generation P Hansen-Estruch, D Yan, CY Chung, O Zohar, J Wang, T Hou, T Xu, ... arXiv preprint arXiv:2501.09755, 2025 | | 2025 |
| Robust Learning From Uncurated Data CY Chuang Massachusetts Institute of Technology, 2023 | | 2023 |
| Understanding and Estimating the Adaptability of Domain-Invariant Representations CY Chuang Massachusetts Institute of Technology, 2021 | | 2021 |
Stefanie JegelkaTUM and MITVerified email at mit.edu