2019
Local Aggregation for Unsupervised Learning of Visual Embeddings
ICCV 2019oral
Unsupervised approaches to learning in neural networks are of substantial interest for furthering artificial intelligence, both because they would enable the training of networks without the need for large numbers of expensive annotations, and because they would be better models of the kind of gener…