Final Programme

Program at a glance

Detailed programme

Extended program: includes abstracts of all talks.
General Sessions: final programme. Please, check for any errors and let us know as soon as possible.
Artificial Intelligence in Nanophotonics Workshop: detailed programme

Information for chairpersons: after your sesion, please fill in this form with your assessment for each presented contribution.

Tutorial on Transfer Learning for Deep Learning

NOTE: The practical session of the tutorial will be held at the Room Maspalomas 4.

A hands-on tutorial on Transfer Learning for Deep Neural Networks will be carried out during IWANN 2019. The tutorial will include a practical session with connection to the Barcelona Supercomputing Center.

Organizers:

Dario Garcia-Gasulla
Armand Vilalta Arias
High Performance Artificial Intelligence Group
Departament of Computer Science
Barcelona Supercomputing Center

Abstract:

Training deep neural networks from scratch is not easy. Finding a good model for a given problem requires of huge amounts of data, lots of computational power, and a team of DL experts dedicated to the task for weeks. Since we cannot dedicate these resources for every single problem that may be appropriate for deep learning, the community has been actively looking for easier and faster solutions, mostly focused on the reuse of pre-trained deep learning models. This is the main goal of the transfer learning field, which seeks to exploit models designed and trained for a problem A to solve a potentially unrelated problem B. In this tutorial we will introduce the two main approaches to transfer learning, fine tuning and feature extraction, detailing the benefits and handicaps of each one. We will provide hands-on experience on running both types of transfer learning, while working on the CTE-POWER9 cluster hosted at BSC, which includes state-of-the-art Volta GPU racks.

Scheduling:

One hour theory on fine tunning, transfer leaning and feature extraction.
One hour practice with the CTE-POWER9 Cluster of the Barcelona Supercomputing Center.

Best Paper and Best Special Session Prizes

As a part of IWANN 2019 scientific programme, two prizes will be awarded:
– Best contribution.
– Best special session.

Each award will include a cash prize granted by Springer, publisher of the proceedings within its LNCS series. The support by Springer is gratefully acknowledged.

The concession will be decided by IWANN 2019 chairs, based upon scientific merit and relevance.

Workshop

Artificial Intelligence in Nanophotonics

Dr. Nikolay Zheludev
Dr. Cesare Soci

Confirmed Special Sessions

#	Title	Organizers
SS01	Artificial Neural Network for biomedical image processing	Dr. Yu-Dong Zhang
SS02	Deep learning models in healthcare and biomedicine	Dr. Leonardo Franco Dr. Ruxandra Stoean Dr. Francisco Veredas
SS03	Deep learning beyond convolution	Dr. Miguel Atencia
SS04	Machine Learning in Vision and Robotics	Dr. José García-Rodríguez Dr. Enrique Domínguez Dr. Ramón Moreno
SS05	Data-driven Intelligent Transportation Systems	Dr. Ignacio J. Turías Domínguez Dr. David Elizondo Dr. Francisco Ortega Zamorano
SS06	Software Testing and Intelligent Systems	Dr. Juan Boubeta Dr. Pablo C. Cañizares Dr. Gregorio Díaz
SS07	Deep Learning and Natural Language Processing	Dr. Leonor Becerra-Bonache Dr. M. Dolores Jiménez-López Dr. Benoit Favre
SS08	Random-Weights Neural Networks	Dr. Claudio Gallicchio
SS09	New and future tendencies in Brain-Computer Interface systems	Dr. Ricardo Ron Dr. Ivan Volosyak
SS10	Human Activity Recognition	Dr.-Ing. habil. Matthias Pätzold
SS11	Computational Intelligence Methods for Time Series	Dr. Héctor Pomares
SS12	Advanced Methods for Personalized/Precision Medicine	Dr. Luis Javier Herrera Dr. Fernando Rojas
SS13	Exploring document information to improve neural summarization models	Dr. Luigi Di Caro
SS15	Machine learning in weather observation and forecasting	Dr. Juan Luis Navarro-Mesa Dr. Antonio Ravelo-García Dr. Carmen Paz Suárez Araujo