In this work, we develop and release Llama 2, a collection of pretrained...
Obtaining photorealistic reconstructions of objects from sparse views is...
Traditional approaches for learning 3D object categories have been
predo...
Our goal is to learn a deep network that, given a small number of images...
Deep learning has significantly improved 2D image recognition. Extending...
Iterated-integral signatures and log signatures are vectors calculated f...
We introduce a novel class of features for multidimensional time series,...
Dropout is a popular technique for regularizing artificial neural networ...