DenoiseRep: Denoising Model for Representation Learning

The denoising model has been proven a powerful generative model but has little exploration of discriminative tasks. Representation learning is important in discriminative tasks, which is defined as . In this paper, we propose a novel Denoising Model for Representation Learning () to improve feature discrimination with joint feature extraction and denoising.