Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Curriculum Learning in Deep Neural Networks for Financial Forecasting   For any financial organization, computing accurate quarterly forecasts for
various products is one of the most critical operations. As the granularity at
which forecasts are needed increases, traditional statistical time series
models may not scale well. We apply deep neural networks in the forecasting
domain by experimenting with techniques from Natural Language Processing
(Encoder-Decoder LSTMs) and Computer Vision (Dilated CNNs), as well as
incorporating transfer learning. A novel contribution of this paper is the
application of curriculum learning to neural network models built for time
series forecasting. We illustrate the performance of our models using
Microsoft's revenue data corresponding to Enterprise, and Small, Medium &
Corporate products, spanning approximately 60 regions across the globe for 8
different business segments, and totaling in the order of tens of billions of
USD. We compare our models' performance to the ensemble model of traditional
statistics and machine learning techniques currently used by Microsoft Finance.
With this in-production model as a baseline, our experiments yield an
approximately 30% improvement in overall accuracy on test data. We find that
our curriculum learning LSTM-based model performs best, showing that it is
reasonable to implement our proposed methods without overfitting on
medium-sized data.

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The categories of this paper are: hep-ph
19
The categories of this paper are: eess
29
The categories of this paper are: funct-an
36
The categories of this paper are: cmp-lg
18
The categories of this paper are: econ
14
The categories of this paper are: math-ph
34
The categories of this paper are: chem-ph
27
The categories of this paper are: comp-gas
2
The categories of this paper are: math
21
The categories of this paper are: adap-org
31
The categories of this paper are: ao-sci
10
The categories of this paper are: q-bio
6
The categories of this paper are: astro-ph
12
The categories of this paper are: nucl-th
8
The categories of this paper are: hep-ex
11
The categories of this paper are: hep-lat