2021
Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning
NeurIPS 2021poster
We challenge a common assumption underlying most supervised deep learning: that a model makes a prediction depending only on its parameters and the features of a single input. To this end, we introduce a general-purpose deep learning architecture that takes as input the entire dataset instead of pro…