CFP: NIPS 2014 Workshop on Software Engineering for Machine Learning
Ryan Turner
Saturday December 13, 2014
Montreal, QC, Canada
SW4ML is a one day NIPS 2014 workshop that will cover topics at the intersection of machine learning and software architecture/engineering. This intersection is a critical area for deploying machine learning methods in practice, but is often overlooked in the literature. As a result, much of the publicly available code for download is disorganized, undocumented, and buggy. Therefore, it cannot serve as an example of how actual deployed machine-learning-heavy software should be written. Those looking to implement actual software could greatly benefit from a workshop that can provide guidance on software practices.
We welcome submissions of the following types:
Full papers (up to 8 pages) for oral presentation
Short papers (up to 4 pages) for poster presentation
References will not be counted towards the page count. The submissions should be formatted using LaTeX and the NIPS Style File
(link: http://nips.cc/Conferences/2014/PaperInformation/StyleFiles)
Please submit your contribution no later than October 10 using Easychair.
(link: https://easychair.org/conferences/?conf=se4ml)
We encourage contributions in any subject in the broad area of software design for machine learning systems. In particular, we are interested in the following topics:
Scaling machine learning
Efficient machine learning implementation strategies
Prototyping
Probabilistic programming
Systematic testing of ML algorithms
Machine learning architectures and best practices
Interface between algorithm designers and software engineering teams
Machine learning and open source
Benchmarking systems
Design patterns
For more information see the workshop website: www.software4machinelearning.com
Important Dates
Paper submission deadline: October 10, 2014
Author notification: October 23, 2014
Conference: Saturday December 13, 2104