431 citations · 1.2k across the 62 of their papers we have counts for
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cs.CV2021
Manifold Learning Benefits GANs
Yao Ni, Piotr Koniusz, Richard Hartley +1
In this paper, we improve Generative Adversarial Networks by incorporating a manifold learning step into the discriminator. We consider locality-constrained linear and subspace-bas…
cs.LG2021★ 2 cited
Being Properly Improper
Tyler Sypherd, Richard Nock, Lalitha Sankar
Properness for supervised losses stipulates that the loss function shapes the learning algorithm towards the true posterior of the data generating distribution. Unfortunately, data…