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· 1998

2 Pith papers cite this work. Polarity classification is still indexing.

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fields

cs.LG 1 stat.ML 1

years

2019 1 2018 1

verdicts

ACCEPT 1 UNVERDICTED 1

representative citing papers

Demystifying MMD GANs

stat.ML · 2018-01-04 · accept · novelty 6.0

MMD GANs have unbiased critic gradients but biased generator gradients from sample-based learning, and the Kernel Inception Distance provides a practical new measure for GAN convergence and dynamic learning rate adaptation.

Uncertainty Estimates for Ordinal Embeddings

cs.LG · 2019-06-27 · unverdicted · novelty 5.0

Bootstrap and Bayesian uncertainty estimates for ordinal embeddings from triplet data are shown to be well-calibrated in simulations.

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Showing 2 of 2 citing papers.

  • Demystifying MMD GANs stat.ML · 2018-01-04 · accept · none · ref 26

    MMD GANs have unbiased critic gradients but biased generator gradients from sample-based learning, and the Kernel Inception Distance provides a practical new measure for GAN convergence and dynamic learning rate adaptation.

  • Uncertainty Estimates for Ordinal Embeddings cs.LG · 2019-06-27 · unverdicted · none · ref 19

    Bootstrap and Bayesian uncertainty estimates for ordinal embeddings from triplet data are shown to be well-calibrated in simulations.