Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Sequence Modeling using Gated Recurrent Neural Networks   In this paper, we have used Recurrent Neural Networks to capture and model
human motion data and generate motions by prediction of the next immediate data
point at each time-step. Our RNN is armed with recently proposed Gated
Recurrent Units which has shown promising results in some sequence modeling
problems such as Machine Translation and Speech Synthesis. We demonstrate that
this model is able to capture long-term dependencies in data and generate
realistic motions.

31
The categories of this paper are: ao-sci
16
The categories of this paper are: stat
35
The categories of this paper are: mtrl-th
25
The categories of this paper are: patt-sol
34
The categories of this paper are: chem-ph
22
The categories of this paper are: chao-dyn
4
The categories of this paper are: cond-mat
28
The categories of this paper are: alg-geom
3
The categories of this paper are: physics
2
The categories of this paper are: math
6
The categories of this paper are: astro-ph
18
The categories of this paper are: econ
36
The categories of this paper are: cmp-lg
20
The categories of this paper are: acc-phys
9
The categories of this paper are: nlin
14
The categories of this paper are: math-ph