Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Reliable and Fast Recurrent Neural Network Architecture Optimization   This article introduces Random Error Sampling-based Neuroevolution (RESN), a
novel automatic method to optimize recurrent neural network architectures. RESN
combines an evolutionary algorithm with a training-free evaluation approach.
The results show that RESN achieves state-of-the-art error performance while
reducing by half the computational time.

27
The categories of this paper are: comp-gas
9
The categories of this paper are: nlin
0
The categories of this paper are: hep-ph
3
The categories of this paper are: physics
14
The categories of this paper are: math-ph
4
The categories of this paper are: cond-mat
33
The categories of this paper are: plasm-ph
10
The categories of this paper are: q-bio
12
The categories of this paper are: nucl-th
15
The categories of this paper are: nucl-ex
21
The categories of this paper are: adap-org
28
The categories of this paper are: alg-geom
2
The categories of this paper are: math
16
The categories of this paper are: stat
8
The categories of this paper are: hep-ex
35
The categories of this paper are: mtrl-th