Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: AOGNets: Compositional Grammatical Architectures for Deep Learning   Neural architectures are the foundation for improving performance of deep
neural networks (DNNs). This paper presents deep compositional grammatical
architectures which harness the best of two worlds: grammar models and DNNs.
The proposed architectures integrate compositionality and reconfigurability of
the former and the capability of learning rich features of the latter in a
principled way. We utilize AND-OR Grammar (AOG) as network generator in this
paper and call the resulting networks AOGNets. An AOGNet consists of a number
of stages each of which is composed of a number of AOG building blocks. An AOG
building block splits its input feature map into N groups along feature
channels and then treat it as a sentence of N words. It then jointly realizes a
phrase structure grammar and a dependency grammar in bottom-up parsing the
"sentence" for better feature exploration and reuse. It provides a unified
framework for the best practices developed in state-of-the-art DNNs. In
experiments, AOGNet is tested in the CIFAR-10, CIFAR-100 and ImageNet-1K
classification benchmark and the MS-COCO object detection and segmentation
benchmark. In CIFAR-10, CIFAR-100 and ImageNet-1K, AOGNet obtains better
performance than ResNet and most of its variants, ResNeXt and its attention
based variants such as SENet, DenseNet and DualPathNet. AOGNet also obtains the
best model interpretability score using network dissection. AOGNet further
shows better potential in adversarial defense. In MS-COCO, AOGNet obtains
better performance than the ResNet and ResNeXt backbones in Mask R-CNN.

10
The categories of this paper are: q-bio
31
The categories of this paper are: ao-sci
2
The categories of this paper are: math
22
The categories of this paper are: chao-dyn
3
The categories of this paper are: physics
26
The categories of this paper are: bayes-an
9
The categories of this paper are: nlin
17
The categories of this paper are: q-fin
34
The categories of this paper are: chem-ph
27
The categories of this paper are: comp-gas
15
The categories of this paper are: nucl-ex
0
The categories of this paper are: hep-ph
24
The categories of this paper are: dg-ga
7
The categories of this paper are: hep-th
13
The categories of this paper are: quant-ph
5
The categories of this paper are: gr-qc