3 papers
cs.SD2021
Self-Supervised Learning of Audio Representations from Permutations with Differentiable Ranking
Andrew N Carr, Quentin Berthet, Mathieu Blondel +2
Self-supervised pre-training using so-called "pretext" tasks has recently shown impressive performance across a wide range of modalities. In this work, we advance self-supervised l…
cs.LG2019
Wasserstein Neural Processes
Andrew Carr, Jared Nielsen, David Wingate
Neural Processes (NPs) are a class of models that learn a mapping from a context set of input-output pairs to a distribution over functions. They are traditionally trained using ma…
cs.LG2019
Graph Neural Processes: Towards Bayesian Graph Neural Networks
Andrew Carr, David Wingate
We introduce Graph Neural Processes (GNP), inspired by the recent work in conditional and latent neural processes. A Graph Neural Process is defined as a Conditional Neural Process…