Cao, Tianshi

7 publications

ECCV 2024 LATTE3D: Large-Scale Amortized Text-to-Enhanced3D Synthesis Kevin Xie, Tianshi Cao, Jonathan P Lorraine, Jun Gao, James R Lucas, Antonio Torralba, Sanja Fidler, Xiaohui Zeng

TMLR 2023 Differentially Private Diffusion Models Tim Dockhorn, Tianshi Cao, Arash Vahdat, Karsten Kreis

ICCV 2023 TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models Tianshi Cao, Karsten Kreis, Sanja Fidler, Nicholas Sharp, Kangxue Yin

NeurIPSW 2022 How Many Trained Neural Networks Are Needed for Influence Estimation in Modern Deep Learning? Sasha Doubov, Tianshi Cao, David Acuna, Sanja Fidler

NeurIPS 2021 Don’t Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence Tianshi Cao, Alex Bie, Arash Vahdat, Sanja Fidler, Karsten Kreis

NeurIPS 2021 Scalable Neural Data Server: A Data Recommender for Transfer Learning Tianshi Cao, Sasha Doubov, David Acuna, Sanja Fidler

ICLR 2020 A Theoretical Analysis of the Number of Shots in Few-Shot Learning Tianshi Cao, Marc Law, Sanja Fidler