Many evolutionary algorithms (EAs) take advantage of parallel evaluation...
In this paper, we provide a deep dive into the deployment of inference
a...
We implement stacked denoising autoencoders, a class of neural networks ...
Metalearning of deep neural network (DNN) architectures and hyperparamet...
Deep neural networks (DNNs) have produced state-of-the-art results in ma...
Multitask learning, i.e. learning several tasks at once with the same ne...
The success of deep learning depends on finding an architecture to fit t...