Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Graph Pruning for Model Compression   Previous AutoML pruning works utilized individual layer features to
automatically prune filters. We analyze the correlation for two layers from the
different blocks which have a short-cut structure. It shows that, in one block,
the deeper layer has many redundant filters which can be represented by filters
in the former layer. So, it is necessary to take information from other layers
into consideration in pruning. In this paper, a novel pruning method, named
GraphPruning, is proposed. Any series of the network is viewed as a graph. To
automatically aggregate neighboring features for each node, a graph aggregator
based on graph convolution networks(GCN) is designed. In the training stage, a
PruningNet that is given aggregated node features generates reasonable weights
for any size of the sub-network. Subsequently, the best configuration of the
Pruned Network is searched by reinforcement learning. Different from previous
work, we take the node features from a well-trained graph aggregator instead of
the hand-craft features, as the states in reinforcement learning. Compared with
other AutoML pruning works, our method has achieved the state-of-the-art under
the same conditions on ImageNet-2012.

17
The categories of this paper are: q-fin
10
The categories of this paper are: q-bio
35
The categories of this paper are: mtrl-th
25
The categories of this paper are: patt-sol
28
The categories of this paper are: alg-geom
36
The categories of this paper are: cmp-lg
14
The categories of this paper are: math-ph
12
The categories of this paper are: nucl-th
19
The categories of this paper are: eess
20
The categories of this paper are: acc-phys
22
The categories of this paper are: chao-dyn
15
The categories of this paper are: nucl-ex
30
The categories of this paper are: q-alg
0
The categories of this paper are: hep-ph
34
The categories of this paper are: chem-ph
23
The categories of this paper are: solv-int