Source Themes

Scaling in Deep and Shallow Learning Architectures

Advanced confidence methods in deep learning

Towards a universal mechanism for successful deep learning

Efficient shallow learning mechanism as an alternative to deep learning

Enhancing the accuracies by performing pooling decisions adjacent to the output layer

The mechanism underlying successful deep learning

Efficient shallow learning as an alternative to deep learning

Learning on tree architectures outperforms a convolutional feedforward network

Brain inspired neuronal silencing mechanism to enable reliable sequence identification

Power-law scaling to assist with key challenges in artificial intelligence