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07/11/2023
Learning Active Subspaces and Discovering Important Features with Gaussian Radial Basis Functions Neural Networks
Providing a model that achieves a strong predictive performance and at t...
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09/24/2019
WATTNet: Learning to Trade FX via Hierarchical Spatio-Temporal Representation of Highly Multivariate Time Series
Finance is a particularly challenging application area for deep learning...
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08/02/2017
A Simple Loss Function for Improving the Convergence and Accuracy of Visual Question Answering Models
Visual question answering as recently proposed multimodal learning task ...
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07/31/2016
Hyperparameter Transfer Learning through Surrogate Alignment for Efficient Deep Neural Network Training
Recently, several optimization methods have been successfully applied to...
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07/28/2016
Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates
Automatically searching for optimal hyperparameter configurations is of ...
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04/06/2016
