Tianshi Cao | DeepAI

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∙ 10/18/2022

Differentially Private Diffusion Models

While modern machine learning models rely on increasingly large training...

0 Tim Dockhorn, et al. ∙

∙ 06/19/2022

Scalable Neural Data Server: A Data Recommender for Transfer Learning

Absence of large-scale labeled data in the practitioner's target domain ...

11 Tianshi Cao, et al. ∙

∙ 11/01/2021

Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence

Although machine learning models trained on massive data have led to bre...

6 Tianshi Cao, et al. ∙

∙ 07/08/2020

A Benchmark of Medical Out of Distribution Detection

There is a rise in the use of deep learning for automated medical diagno...

50 Tianshi Cao, et al. ∙

∙ 04/15/2020

BabyAI++: Towards Grounded-Language Learning beyond Memorization

Despite success in many real-world tasks (e.g., robotics), reinforcement...

0 Tianshi Cao, et al. ∙

∙ 09/25/2019

A Theoretical Analysis of the Number of Shots in Few-Shot Learning

Few-shot classification is the task of predicting the category of an exa...

0 Tianshi Cao, et al. ∙

∙ 08/30/2018

Egocentric Video: A New Tool for Capturing Hand Use of Individuals with Spinal Cord Injury at Home

Current upper extremity outcome measures for persons with cervical spina...

0 Jirapat Likitlersuang, et al. ∙

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