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Generating Unobserved Predictions by Vadim Koz Jr. is a document available to read on EtoBox.

What is Generating Unobserved Predictions about?

This document proposes a method for generating unobserved alternatives in problems where the training data provides only a single label per input, but multiple labels could be valid. It introduces the problem setting, where there is a one-to-many mapping from inputs to potential outputs but a one-to-one supervision signal. Existing methods cannot generate multiple predictions. The proposed approach, called HyperRIM, applies implicit maximum likelihood estimation to generate diverse, high-quality alternative

Author

Vadim Koz Jr.

Language

EN