Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Early Stopping in Deep Networks: Double Descent and How to Eliminate it   Over-parameterized models, such as large deep networks, often exhibit a
double descent phenomenon, whereas a function of model size, error first
decreases, increases, and decreases at last. This intriguing double descent
behavior also occurs as a function of training epochs and has been conjectured
to arise because training epochs control the model complexity. In this paper,
we show that such epoch-wise double descent arises for a different reason: It
is caused by a superposition of two or more bias-variance tradeoffs that arise
because different parts of the network are learned at different epochs, and
eliminating this by proper scaling of stepsizes can significantly improve the
early stopping performance. We show this analytically for i) linear regression,
where differently scaled features give rise to a superposition of bias-variance
tradeoffs, and for ii) a two-layer neural network, where the first and second
layer each govern a bias-variance tradeoff. Inspired by this theory, we study
two standard convolutional networks empirically and show that eliminating
epoch-wise double descent through adjusting stepsizes of different layers
improves the early stopping performance significantly.

3
The categories of this paper are: physics
19
The categories of this paper are: eess
0
The categories of this paper are: hep-ph
36
The categories of this paper are: cmp-lg
32
The categories of this paper are: atom-ph
5
The categories of this paper are: gr-qc
18
The categories of this paper are: econ
20
The categories of this paper are: acc-phys
28
The categories of this paper are: alg-geom
34
The categories of this paper are: chem-ph
35
The categories of this paper are: mtrl-th
4
The categories of this paper are: cond-mat
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The categories of this paper are: math
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The categories of this paper are: q-fin
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The categories of this paper are: hep-ex
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The categories of this paper are: math-ph