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08/25/2023
Automatic Historical Stock Price Dataset Generation Using Python
With the dynamic political and economic environments, the ever-changing ...
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01/25/2023
Improved Stock Price Movement Classification Using News Articles Based on Embeddings and Label Smoothing
Stock price movement prediction is a challenging and essential problem i...
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01/14/2023
Understanding the Spectral Bias of Coordinate Based MLPs Via Training Dynamics
Recently, multi-layer perceptrons (MLPs) with ReLU activations have enab...
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04/22/2020
Preserving the Hypernym Tree of WordNet in Dense Embeddings
In this paper, we provide a novel way to generate low-dimension (dense) ...
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03/18/2020
An Analysis on the Learning Rules of the Skip-Gram Model
To improve the generalization of the representations for natural languag...
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10/18/2019
Towards Quantifying Intrinsic Generalization of Deep ReLU Networks
Understanding the underlying mechanisms that enable the empirical succes...
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05/14/2019
Interpretable Deep Neural Networks for Patient Mortality Prediction: A Consensus-based Approach
Deep neural networks have achieved remarkable success in challenging tas...
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02/03/2019
High-resolution home location prediction from tweets using deep learning with dynamic structure
High-resolution prediction of the home location of people has applicatio...
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01/19/2019
Overfitting Mechanism and Avoidance in Deep Neural Networks
Assisted by the availability of data and high performance computing, dee...
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08/02/2017
Land Cover Classification from Multi-temporal, Multi-spectral Remotely Sensed Imagery using Patch-Based Recurrent Neural Networks
Sustainability of the global environment is dependent on the accurate la...
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12/22/2015
