Advances in deep learning theory have revealed how average generalizatio...
In NLP, a large volume of tasks involve pairwise comparison between two
...
Variational autoencoders (VAEs) are a standard framework for inducing la...
Since first introduced, computer simulation has been an increasingly
imp...
The goal of homomorphic encryption is to encrypt data such that another ...
There has been considerable attention devoted to models that learn to jo...
We introduce a method for embedding words as probability densities in a
...
Learning to communicate through interaction, rather than relying on expl...