Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Deep Differential Recurrent Neural Networks   Due to the special gating schemes of Long Short-Term Memory (LSTM), LSTMs
have shown greater potential to process complex sequential information than the
traditional Recurrent Neural Network (RNN). The conventional LSTM, however,
fails to take into consideration the impact of salient spatio-temporal dynamics
present in the sequential input data. This problem was first addressed by the
differential Recurrent Neural Network (dRNN), which uses a differential gating
scheme known as Derivative of States (DoS). DoS uses higher orders of internal
state derivatives to analyze the change in information gain caused by the
salient motions between the successive frames. The weighted combination of
several orders of DoS is then used to modulate the gates in dRNN. While each
individual order of DoS is good at modeling a certain level of salient
spatio-temporal sequences, the sum of all the orders of DoS could distort the
detected motion patterns. To address this problem, we propose to control the
LSTM gates via individual orders of DoS and stack multiple levels of LSTM cells
in an increasing order of state derivatives. The proposed model progressively
builds up the ability of the LSTM gates to detect salient dynamical patterns in
deeper stacked layers modeling higher orders of DoS, and thus the proposed LSTM
model is termed deep differential Recurrent Neural Network (d2RNN). The
effectiveness of the proposed model is demonstrated on two publicly available
human activity datasets: NUS-HGA and Violent-Flows. The proposed model
outperforms both LSTM and non-LSTM based state-of-the-art algorithms.

7
The categories of this paper are: hep-th
17
The categories of this paper are: q-fin
20
The categories of this paper are: acc-phys
35
The categories of this paper are: mtrl-th
10
The categories of this paper are: q-bio
30
The categories of this paper are: q-alg
23
The categories of this paper are: solv-int
12
The categories of this paper are: nucl-th
0
The categories of this paper are: hep-ph
4
The categories of this paper are: cond-mat
31
The categories of this paper are: ao-sci
27
The categories of this paper are: comp-gas
6
The categories of this paper are: astro-ph
24
The categories of this paper are: dg-ga
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The categories of this paper are: hep-ex
22
The categories of this paper are: chao-dyn