Call for papers

• Submission deadline: October 17th, 2020 - Extended
• Author notification: November 10th, 2020
• Camera-ready submission: November 20th, 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/