One-shot learning and big data with n=2

NeurIPS 2013 Lee H. DickerDean P. Foster

We model a one-shot learning" situation, where very few (scalar) observations $y_1,...,y_n$ are available. Associated with each observation $y_i$ is a very high-dimensional vector $x_i$, which provides context for $y_i$ and enables us to predict subsequent observations, given their own context... (read more)

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