Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Unsupervised Representation Learning with Laplacian Pyramid
  Auto-encoders   Scale-space representation has been popular in computer vision community due
to its theoretical foundation. The motivation for generating a scale-space
representation of a given data set originates from the basic observation that
real-world objects are composed of different structures at different scales.
Hence, it's reasonable to consider learning features with image pyramids
generated by smoothing and down-sampling operations. In this paper we propose
Laplacian pyramid auto-encoders, a straightforward modification of the deep
convolutional auto-encoder architecture, for unsupervised representation
learning. The method uses multiple encoding-decoding sub-networks within a
Laplacian pyramid framework to reconstruct the original image and the low pass
filtered images. The last layer of each encoding sub-network also connects to
an encoding layer of the sub-network in the next level, which aims to reverse
the process of Laplacian pyramid generation. Experimental results showed that
Laplacian pyramid benefited the classification and reconstruction performance
of deep auto-encoder approaches, and batch normalization is critical to get
deep auto-encoders approaches to begin learning.

23
The categories of this paper are: solv-int
31
The categories of this paper are: ao-sci
8
The categories of this paper are: hep-ex
35
The categories of this paper are: mtrl-th
5
The categories of this paper are: gr-qc
2
The categories of this paper are: math
18
The categories of this paper are: econ
15
The categories of this paper are: nucl-ex
10
The categories of this paper are: q-bio
7
The categories of this paper are: hep-th
0
The categories of this paper are: hep-ph
36
The categories of this paper are: cmp-lg
25
The categories of this paper are: patt-sol
6
The categories of this paper are: astro-ph
14
The categories of this paper are: math-ph
32
The categories of this paper are: atom-ph