BUILDING BRIDGES BETWEEN REGRESSION, CLUSTERING, AND CLASSIFICATION

Summary from the TLDR AI newsletter

This paper introduces a novel method for improving neural network training in regression tasks that involves framing them as classification problems using a learned target encoder-decoder pair. The approach outperforms traditional regression methods by leveraging the benefits of distributional target representation and smooth interpolation between different objectives.