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Tianshi Cao
Tianshi Cao
Verified email at mail.utoronto.ca - Homepage
Title
Cited by
Cited by
Year
A theoretical analysis of the number of shots in few-shot learning
T Cao, M Law, S Fidler
arXiv preprint arXiv:1909.11722, 2019
822019
A benchmark of medical out of distribution detection
T Cao, CW Huang, DYT Hui, JP Cohen
arXiv preprint arXiv:2007.04250, 2020
672020
Differentially private diffusion models
T Dockhorn, T Cao, A Vahdat, K Kreis
arXiv preprint arXiv:2210.09929, 2022
532022
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
502019
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
472021
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
462021
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
322023
Babyai++: Towards grounded-language learning beyond memorization
T Cao, J Wang, Y Zhang, S Manivasagam
arXiv preprint arXiv:2004.07200 104, 2020
10*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
72021
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
12024
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 …, 2022
2022
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