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Call for papers ICPR 2020 Workshop
Computational Aspects of Deep Learning
www.cadl.it


THE SUBMISSION DEADLINE IS EXTENDED TO OCTOBER 17TH


Deep Learning has been the most significant breakthrough in the past 10 years: it has radically changed the research methodology towards a data-oriented approach, in which learning involves all steps of the prediction pipeline. In this context, optimization and careful design of neural architectures play an increasingly important role which directly affects the research pace, the effectiveness of state-of-the-art models and their applicability in production scale.

The ICPR workshop on “Computational Aspects of Deep Learning” fosters the submission of research works that focus on the development of optimized deep neural network architectures and on the optimization of existing ones, also onto highly scalable systems. This includes the training on large-scale or highly-dimensional datasets, the design of novel architectures and operators for increasing the efficacy or the efficiency in feature extraction and classification, the optimization of hyperparameters to enhance model’s performance, solutions for training in multi-node systems such as HPC clusters.


Prizes
CADL is organized in collaboration with NVIDIA AI Technology Center. The best paper will be awarded a Titan RTX GPU (or equivalent) offered by NVIDIA.

Topics
Topics of interest include, but are not limited to, 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 guidelines
We invite submission of full and short papers describing work in the domains suggested above or in closely-related areas.
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

Important dates
- Paper submission deadline: October 17th, 2020
- Notification of acceptance: November 10th, 2020
- Camera ready deadline: November 15th, 2020
- Finalized workshop program: December 1st, 2020

Organizers
- Frederic Pariente, Engineering Manager at NVIDIA, deputy director of NVAITC in EMEA
- Iuri Frosio, Senior research scientist, NVIDIA
- Lorenzo Baraldi, Assistant Professor at UNIMORE
- Claudio Baecchi, Post-Doc at MICC, University of Florence

Submission site is Open:
https://cmt3.research.microsoft.com/CADL2020/


Due to COVID situation, the workshop will be in ONLINE "LIVE" Format.
ALL ACCEPTED PAPERS WILL BE PUBLISHED.

 

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