Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Generative Adversarial Image Synthesis with Decision Tree Latent
  Controller   This paper proposes the decision tree latent controller generative
adversarial network (DTLC-GAN), an extension of a GAN that can learn
hierarchically interpretable representations without relying on detailed
supervision. To impose a hierarchical inclusion structure on latent variables,
we incorporate a new architecture called the DTLC into the generator input. The
DTLC has a multiple-layer tree structure in which the ON or OFF of the child
node codes is controlled by the parent node codes. By using this architecture
hierarchically, we can obtain the latent space in which the lower layer codes
are selectively used depending on the higher layer ones. To make the latent
codes capture salient semantic features of images in a hierarchically
disentangled manner in the DTLC, we also propose a hierarchical conditional
mutual information regularization and optimize it with a newly defined
curriculum learning method that we propose as well. This makes it possible to
discover hierarchically interpretable representations in a layer-by-layer
manner on the basis of information gain by only using a single DTLC-GAN model.
We evaluated the DTLC-GAN on various datasets, i.e., MNIST, CIFAR-10, Tiny
ImageNet, 3D Faces, and CelebA, and confirmed that the DTLC-GAN can learn
hierarchically interpretable representations with either unsupervised or weakly
supervised settings. Furthermore, we applied the DTLC-GAN to image-retrieval
tasks and showed its effectiveness in representation learning.

17
The categories of this paper are: q-fin
27
The categories of this paper are: comp-gas
26
The categories of this paper are: bayes-an
4
The categories of this paper are: cond-mat
22
The categories of this paper are: chao-dyn
30
The categories of this paper are: q-alg
8
The categories of this paper are: hep-ex
10
The categories of this paper are: q-bio
20
The categories of this paper are: acc-phys
16
The categories of this paper are: stat
28
The categories of this paper are: alg-geom
2
The categories of this paper are: math
25
The categories of this paper are: patt-sol
11
The categories of this paper are: hep-lat
13
The categories of this paper are: quant-ph
9
The categories of this paper are: nlin