The organizing committee is currently seeking abstracts for talks and demos that showcase novel and exciting Machine Learning Open Source Software (MLOSS). The workshop is a great opportunity for you to share use-cases, development, philosophy, or other activities related to MLOSS. Smaller projects and those without a significant supporting organization are especially encouraged to participate for improved outreach and visibility.

Possible topics include (but not exclusively):

Position papers for community growth/transition/diversification
Retrospectives on community/funding/sustainability experiences
Real-world use-cases of MLOSS
Novel or improved ML packages
Meta projects that connect third party projects, e.g. benchmarking, workflows, etc

The committee will select several submitted abstracts for demos and short talks. All software presentations are required to include a live demonstration.

Submission format is NIPS’18 style pdf (3 pages maximum). All submissions must include pointers to project website/community, code (GitHub, etc), where applicable. For software submissions, a link to code is mandatory. Previews of to be presented demos are not mandatory but will increase the acceptance likelihood. Please submit your contributions using OpenReview.
Student participant support

We have a limited number of NIPS admission tickets, as well as limited funding to support participant travelling/accommodation. This support is for students who submit an abstract only. Apply here
Important dates

Submission deadline: 30 September 2018
Notification of acceptance: 12 October 2018
Workshop date: 8 December 2018 (Saturday)