Description

The First International Workshop on Deep and Representation Learning – IWDRL 2018 will be held in Cairo, Egypt on March 29, 2018. IWDRL 2018 provides a forum to exchange experiences and promote current trends in the field of Deep and Representation Learning and their applications

Call for paper

Important Dates

Draft paper submission deadline:2018-02-15

Draft paper acceptance notification:2018-03-10

Final paper submission deadline:2018-03-15

Call for paper description

The First International Workshop on Deep and Representation Learning – IWDRL 2018 will be held in Cairo, Egypt on March 29, 2018. IWDRL 2018 provides a forum to exchange experiences and promote current trends in the field of Deep and Representation Learning and their applications

Prospective authors are invited to electronically submit two types of submissions: full research papers (English full paper length: up to 6 proceedings pages) and extended abstracts. Full papers are expected to present completed work and will be published in the workshop’s IEEE proceedings.

On the other hand, extended abstract submissions are intended to encourage the presentation of preliminary research ideas or case studies around challenges and solutions related to the use of deep and representation learning systems in real-world applications. While accepted extended abstracts will not be part of the formal IEEE proceedings, they will be preserved as an online open publication (e.g., on arxiv.org) and the authors will be free to submit an extended version of their work to other venues.

 

Authors are invited to submit papers on the following tracks but not limited to:

Deep Learning 

  • Deep learning architectures
  • Recurrent networks architectures
  • Generative adversarial networks
  • Deep reinforcement learning
  • Relational modeling and prediction
  • Neural abstract machines and program Induction
  • Applications of deep learning

 

Representation Learning

  • Unsupervised, semi-supervised, and supervised representation learning
  • Metric learning and kernel learning
  • Sparse representation and coding
  • Manifold learning, subspace learning and dimensionality reduction
  • Optimization for representation learning
  • Multi-view/Multi-modal learning
  • Applications of representation learning

One author of each accepted paper is expected to present the submitted work at the workshop. Paper presentations will follow the traditional conference-style format with questions from the audience. More information on available speaking slots and workshop format details will be provided ahead of the workshop date.

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Contact information

  • Ayman Bahaa-Eldin
  • ayman.bahaa@eng.asu.edu.eg

Sponsored By

  • Egypt Section

Organized By

  • Misr International University (MIU)