Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Wasserstein Auto-Encoders   We propose the Wasserstein Auto-Encoder (WAE)---a new algorithm for building
a generative model of the data distribution. WAE minimizes a penalized form of
the Wasserstein distance between the model distribution and the target
distribution, which leads to a different regularizer than the one used by the
Variational Auto-Encoder (VAE). This regularizer encourages the encoded
training distribution to match the prior. We compare our algorithm with several
other techniques and show that it is a generalization of adversarial
auto-encoders (AAE). Our experiments show that WAE shares many of the
properties of VAEs (stable training, encoder-decoder architecture, nice latent
manifold structure) while generating samples of better quality, as measured by
the FID score.

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The categories of this paper are: hep-ph
13
The categories of this paper are: quant-ph
21
The categories of this paper are: adap-org
18
The categories of this paper are: econ
17
The categories of this paper are: q-fin
27
The categories of this paper are: comp-gas
31
The categories of this paper are: ao-sci
33
The categories of this paper are: plasm-ph
7
The categories of this paper are: hep-th
35
The categories of this paper are: mtrl-th
4
The categories of this paper are: cond-mat
34
The categories of this paper are: chem-ph
12
The categories of this paper are: nucl-th
37
The categories of this paper are: supr-con
29
The categories of this paper are: funct-an
8
The categories of this paper are: hep-ex