15 citations · 50 across the 8 of their papers we have counts for
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cs.LG2020
On the Similarity between the Laplace and Neural Tangent Kernels
Amnon Geifman, Abhay Yadav, Yoni Kasten +3
Recent theoretical work has shown that massively overparameterized neural networks are equivalent to kernel regressors that use Neural Tangent Kernels(NTK). Experiments show that t…
cs.CV2020★ 11 cited
SharinGAN: Combining Synthetic and Real Data for Unsupervised Geometry Estimation
Koutilya PNVR, Hao Zhou, David Jacobs
We propose a novel method for combining synthetic and real images when training networks to determine geometric information from a single image. We suggest a method for mapping bot…
cs.LG2020
Frequency Bias in Neural Networks for Input of Non-Uniform Density
Ronen Basri, Meirav Galun, Amnon Geifman +3
Recent works have partly attributed the generalization ability of over-parameterized neural networks to frequency bias -- networks trained with gradient descent on data drawn from…