In this setting, we show that for fully-connected DNNs, as the depth grows, two regimes appear: freeze (or order), where the (scaled) NTK converges to a ...
[PDF] NTK views on DNN Normalization, Checkerboard and Boundary Artifacts
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Since the first apparition of this work on arxiv, the freeze/chaos regimes for the NTK has been further observed or studied in Hayou et al. (2019c,b); Xiao et ...
Dive into the research topics of 'Freeze and Chaos: NTK views on DNN Normalization, Checkerboard and Boundary Artifacts'. Together they form a unique ...
A graph-based parametrization which eliminates border artifacts is proposed and a new layer-dependent learning rate is introduced to improve the convergence ...
Duration: 37:13
Posted: Aug 30, 2022
Posted: Aug 30, 2022
Freeze and chaos: Ntk views on dnn normalization, checkerboard and boundary artifacts. A Jacot, F Gabriel, F Ged, C Hongler. Mathematical and Scientific Machine ...
Jun 22, 2020 · Our analysis explains the appearance of so-called checkerboard patterns and border artifacts. Moving the network into the chaotic regime ...
Missing: Freeze | Show results with:Freeze
The "freeze" regime is characterized by checkerboard patterns in the image space in addition to the constant modes in input space. Finally, we introduce a new ...
Missing: DNN | Show results with:DNN
Jul 11, 2019 · This paper discusses challenging issues in the context of wide neural networks at large depths and finds that there are large regions of ...
In GANs the Freeze regime leads to Mode Collapse, where the generator converge to a constant, and to checkerboard patterns, i.e. repeating patterns in images.
Missing: Artifacts. | Show results with:Artifacts.