Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data

CVPR 2020 Xi YanDavid AcunaSanja Fidler

Transfer learning has proven to be a successful technique to train deep learning models in the domains where little training data is available. The dominant approach is to pretrain a model on a large generic dataset such as ImageNet and finetune its weights on the target domain... (read more)

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