| A theoretical analysis of the number of shots in few-shot learning T Cao, M Law, S Fidler arXiv preprint arXiv:1909.11722, 2019 | 89 | 2019 |
| Differentially private diffusion models T Dockhorn, T Cao, A Vahdat, K Kreis arXiv preprint arXiv:2210.09929, 2022 | 88 | 2022 |
| A benchmark of medical out of distribution detection T Cao, CW Huang, DYT Hui, JP Cohen arXiv preprint arXiv:2007.04250, 2020 | 76 | 2020 |
| Texfusion: Synthesizing 3d textures with text-guided image diffusion models T Cao, K Kreis, S Fidler, N Sharp, K Yin Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 72 | 2023 |
| Don’t generate me: Training differentially private generative models with sinkhorn divergence T Cao, A Bie, A Vahdat, S Fidler, K Kreis Advances in Neural Information Processing Systems 34, 12480-12492, 2021 | 65 | 2021 |
| Problems in the deployment of machine-learned models in health care JP Cohen, T Cao, JD Viviano, CW Huang, M Fralick, M Ghassemi, ... Cmaj 193 (35), E1391-E1394, 2021 | 64 | 2021 |
| Egocentric video: a new tool for capturing hand use of individuals with spinal cord injury at home J Likitlersuang, ER Sumitro, T Cao, RJ Visée, S Kalsi-Ryan, J Zariffa Journal of neuroengineering and rehabilitation 16, 1-11, 2019 | 62 | 2019 |
| LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis K Xie, J Lorraine, T Cao, J Gao, J Lucas, A Torralba, S Fidler, X Zeng arXiv:2403.15385, 2024 | 18 | 2024 |
| Babyai++: Towards grounded-language learning beyond memorization T Cao, J Wang, Y Zhang, S Manivasagam arXiv preprint arXiv:2004.07200 104, 2020 | 12* | 2020 |
| Scalable neural data server: A data recommender for transfer learning T Cao, SA Doubov, D Acuna, S Fidler Advances in Neural Information Processing Systems 34, 8984-8997, 2021 | 7 | 2021 |
| Generative machine learning models for privacy preserving synthetic data generation using diffusion KJ Kreis, T Dockhorn, T Cao, A Vahdat US Patent App. 18/164,215, 2024 | | 2024 |
| How many trained neural networks are needed for influence estimation in modern deep learning? S Doubov, T Cao, D Acuna, S Fidler I Can't Believe It's Not Better Workshop: Understanding Deep Learning …, 0 | | |
Sanja FidlerUniversity of Toronto, NVIDIAVerified email at cs.toronto.edu
