research
∙
03/16/2023
Identifiability Results for Multimodal Contrastive Learning
Contrastive learning is a cornerstone underlying recent progress in mult...
share
research
∙
06/17/2022
How robust are pre-trained models to distribution shift?
The vulnerability of machine learning models to spurious correlations ha...
research
∙
10/08/2021
On the Limitations of Multimodal VAEs
Multimodal variational autoencoders (VAEs) have shown promise as efficie...
research
∙
05/06/2021
Generalized Multimodal ELBO
Multiple data types naturally co-occur when describing real-world phenom...
research
∙
06/15/2020
