The ability to generate privacy-preserving synthetic versions of sensiti...
Experience and reasoning occur across multiple temporal scales: millisec...
Automatically discovering failures in vision models under real-world set...
Adversarial training suffers from robust overfitting, a phenomenon where...
Robustness to distribution shifts is critical for deploying machine lear...
Recent work argues that robust training requires substantially larger
da...
We study the adversarial robustness of information bottleneck models for...
Modern neural networks excel at image classification, yet they remain
vu...
Adversarial training suffers from robust overfitting, a phenomenon where...
We propose a new approach to determining correspondences between image p...
Single image view synthesis allows for the generation of new views of a ...
This work explores how to use self-supervised learning on videos to lear...
The objective of this work is to infer the 3D shape of an object from a
...
We propose a self-supervised framework for learning facial attributes by...
The objective of this paper is a neural network model that controls the ...
The objective of this paper is 3D shape understanding from single and
mu...