Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Lets keep it simple, Using simple architectures to outperform deeper and
  more complex architectures   Major winning Convolutional Neural Networks (CNNs), such as AlexNet, VGGNet,
ResNet, GoogleNet, include tens to hundreds of millions of parameters, which
impose considerable computation and memory overhead. This limits their
practical use for training, optimization and memory efficiency. On the
contrary, light-weight architectures, being proposed to address this issue,
mainly suffer from low accuracy. These inefficiencies mostly stem from
following an ad hoc procedure. We propose a simple architecture, called
SimpleNet, based on a set of designing principles, with which we empirically
show, a well-crafted yet simple and reasonably deep architecture can perform on
par with deeper and more complex architectures. SimpleNet provides a good
tradeoff between the computation/memory efficiency and the accuracy. Our simple
13-layer architecture outperforms most of the deeper and complex architectures
to date such as VGGNet, ResNet, and GoogleNet on several well-known benchmarks
while having 2 to 25 times fewer number of parameters and operations. This
makes it very handy for embedded system or system with computational and memory
limitations. We achieved state-of-the-art result on CIFAR10 outperforming
several heavier architectures, near state of the art on MNIST and competitive
results on CIFAR100 and SVHN. Models are made available at:
https://github.com/Coderx7/SimpleNet

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The categories of this paper are: mtrl-th
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The categories of this paper are: stat
3
The categories of this paper are: physics
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The categories of this paper are: nucl-ex
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The categories of this paper are: adap-org
4
The categories of this paper are: cond-mat
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The categories of this paper are: atom-ph
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The categories of this paper are: chem-ph
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The categories of this paper are: hep-ph
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The categories of this paper are: gr-qc
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The categories of this paper are: q-fin
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The categories of this paper are: patt-sol
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The categories of this paper are: hep-ex
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The categories of this paper are: hep-lat
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The categories of this paper are: plasm-ph
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The categories of this paper are: acc-phys