Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Nested LSTMs   We propose Nested LSTMs (NLSTM), a novel RNN architecture with multiple
levels of memory. Nested LSTMs add depth to LSTMs via nesting as opposed to
stacking. The value of a memory cell in an NLSTM is computed by an LSTM cell,
which has its own inner memory cell. Specifically, instead of computing the
value of the (outer) memory cell as $c^{outer}_t = f_t \odot c_{t-1} + i_t
\odot g_t$, NLSTM memory cells use the concatenation $(f_t \odot c_{t-1}, i_t
\odot g_t)$ as input to an inner LSTM (or NLSTM) memory cell, and set
$c^{outer}_t$ = $h^{inner}_t$. Nested LSTMs outperform both stacked and
single-layer LSTMs with similar numbers of parameters in our experiments on
various character-level language modeling tasks, and the inner memories of an
LSTM learn longer term dependencies compared with the higher-level units of a
stacked LSTM.

29
The categories of this paper are: funct-an
31
The categories of this paper are: ao-sci
11
The categories of this paper are: hep-lat
28
The categories of this paper are: alg-geom
21
The categories of this paper are: adap-org
12
The categories of this paper are: nucl-th
20
The categories of this paper are: acc-phys
26
The categories of this paper are: bayes-an
17
The categories of this paper are: q-fin
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The categories of this paper are: dg-ga
13
The categories of this paper are: quant-ph
30
The categories of this paper are: q-alg
3
The categories of this paper are: physics
27
The categories of this paper are: comp-gas
34
The categories of this paper are: chem-ph
37
The categories of this paper are: supr-con