Regression Networks for Meta-Learning Few-Shot Classification

31 May 2019Arnout DevosMatthias Grossglauser

We propose regression networks for the problem of few-shot classification, where a classifier must generalize to new classes not seen in the training set, given only a small number of examples of each class. In high dimensional embedding spaces the direction of data generally contains richer information than magnitude... (read more)

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