Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: CHIP: CHannel Independence-based Pruning for Compact Neural Networks   Filter pruning has been widely used for neural network compression because of
its enabled practical acceleration. To date, most of the existing filter
pruning works explore the importance of filters via using intra-channel
information. In this paper, starting from an inter-channel perspective, we
propose to perform efficient filter pruning using Channel Independence, a
metric that measures the correlations among different feature maps. The less
independent feature map is interpreted as containing less useful
information$/$knowledge, and hence its corresponding filter can be pruned
without affecting model capacity. We systematically investigate the
quantification metric, measuring scheme and sensitiveness$/$reliability of
channel independence in the context of filter pruning. Our evaluation results
for different models on various datasets show the superior performance of our
approach. Notably, on CIFAR-10 dataset our solution can bring $0.90\%$ and
$0.94\%$ accuracy increase over baseline ResNet-56 and ResNet-110 models,
respectively, and meanwhile the model size and FLOPs are reduced by $42.8\%$
and $47.4\%$ (for ResNet-56) and $48.3\%$ and $52.1\%$ (for ResNet-110),
respectively. On ImageNet dataset, our approach can achieve $40.8\%$ and
$44.8\%$ storage and computation reductions, respectively, with $0.15\%$
accuracy increase over the baseline ResNet-50 model. The code is available at
https://github.com/Eclipsess/CHIP_NeurIPS2021.

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The categories of this paper are: hep-th
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The categories of this paper are: q-fin
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The categories of this paper are: nlin
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The categories of this paper are: astro-ph
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The categories of this paper are: gr-qc
33
The categories of this paper are: plasm-ph
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The categories of this paper are: atom-ph
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The categories of this paper are: physics
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The categories of this paper are: bayes-an
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The categories of this paper are: quant-ph
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The categories of this paper are: cond-mat
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The categories of this paper are: eess
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The categories of this paper are: patt-sol
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The categories of this paper are: hep-lat
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The categories of this paper are: hep-ph
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The categories of this paper are: comp-gas