research
∙
10/18/2022
Differentially Private Diffusion Models
While modern machine learning models rely on increasingly large training...
share
research
∙
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 ...
research
∙
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...
research
∙
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...
research
∙
04/15/2020
BabyAI++: Towards Grounded-Language Learning beyond Memorization
Despite success in many real-world tasks (e.g., robotics), reinforcement...
research
∙
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...
research
∙
08/30/2018