Call for papers

  • Submission deadline: October 10th, 2020
  • Author notification: November 10th, 2020
  • Camera-ready submission: November 15th, 2020

Topics

Topics of interest include the following:

  • Design of innovative architectures and operators for data-intensive scenarios
  • Video understanding and spatio-temporal feature extraction
  • Distributed reinforcement learning algorithms
  • Applications of large-scale pre-training techniques
  • Distributed training approaches and architectures
  • HPC and massively parallel architectures in Deep Learning
  • Frameworks and optimization algorithms for training Deep Networks
  • Model pruning, gradient compression techniques to reduce the computational complexity
  • Design, implementation and use of hardware accelerators

Submission and review

We invite submission of full and short papers describing work in the domains suggested above or in closely-related areas.

Reviewing of full and short submissions will be single-blind. Accepted submissions will be presented either as oral or posters at the workshop, and published in the ICPR 2020 Workshops volume, edited by Springer.

  • Full papers: 12-15 pages
  • Short papers: 6-8 pages

Submission must be formatted according to the Springer template.

Submission site

The submission site is available at: https://cmt3.research.microsoft.com/CADL2020/