Call for Papers IJCNN 2015 Special Session "Nature Inspired Deep Learning"

Special Session for IEEE IJCNN 2015.

IMPORTANT DATES

Paper submission UPDATED:  February 5, 2015
Paper Decision notification: March 15, 2015
Camera-ready submission: April 15, 2015
Conference: July 12-17, 2015

AIM

Deep learning has recently emerged as a prominent CI discipline. However, applications of the nature-inspired methods such as particle swarm optimisation and evolutionary optimisation to deep learning are still very limited. Training deep neural networks is a challenging task due to the inherent high dimensionality. The aim of this special session is to discuss the existing nature-inspired approaches to deep learning, to identify problems that arise, and to encourage research in this new and exciting field of computational intelligence.

SCOPE

The topics of the special session include, but are not limited to:

• Applications of evolutionary algorithms to deep learning
• Applications of swarm-based algorithms to deep learning
• Hybrid approaches to deep learning
• Theoretical and empirical analysis of the nature-inspired deep learning algorithms
• Identifying and understanding the limitations of nature-inspired deep learning
• Real-world applications of nature-inspired deep learning
• Training Restricted Boltzmann Machines with nature-inspired algorithms
• Training Deep Belief Networks with nature-inspired algorithms
• Training autoencoders and stacked autoencoders with nature-inspired algorithms
• Training convolutional neural networks with nature-inspired algorithms
• Weight pretraining with nature-inspired algorithms
• High-performance implementations of nature-inspired deep learning
• Analysis of overfitting and generalization of deep networks training using nature-inspired algorithms
• Training of deep networks in dynamic environments

ORGANIZERS

Prof Andries Engelbrecht, Department of Computer Science, University of Pretoria, Pretoria, South Africa (engel@cs.up.ac.za)
Ms Anna Rakitianskaia, Department of Computer Science, University of Pretoria, Pretoria, South Africa (annar@cs.up.ac.za)

SUBMISSION

All papers are to be submitted through the conference website: http://www.ijcnn.org/

More details on the special session can be found at: https://sites.google.com/site/ijcnn2015deepnature/