196 citations · 450 across the 15 of their papers we have counts for
Showing 2017 · cs.LGShow all
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cs.LG2017★ 108 cited
Learning From Noisy Singly-labeled Data
Ashish Khetan, Zachary C. Lipton, Anima Anandkumar
Supervised learning depends on annotated examples, which are taken to be the \emph{ground truth}. But these labels often come from noisy crowdsourcing platforms, like Amazon Mechan…
cs.LG2017
PacGAN: The power of two samples in generative adversarial networks
Zinan Lin, Ashish Khetan, Giulia Fanti +1
Generative adversarial networks (GANs) are innovative techniques for learning generative models of complex data distributions from samples. Despite remarkable recent improvements i…