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968 claims from 606 papers are on the record. 39 have been checked so far; the other 929 have no check with a result yet.

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Keyword: overparameterization ×Clear all

2 claims from 1 paper

1. Computer Science › Stochastic Gradient Optimization Techniques

   Understanding deep learning requires rethinking generalization

   Zhang, Bengio, Hardt, Recht and Vinyals · arXiv (Cornell University) · 2016

   Unchecked2 claims
   Show 2 claims

   1. Unchecked“Specifically, our experiments establish that state-of-the-art convolutional networks for image classification trained with stochastic gradient methods easily fit a random labeling of the training data.”
   2. Unchecked“This phenomenon is qualitatively unaffected by explicit regularization, and occurs even if we replace the true images by completely unstructured random noise.”