Call for papers
Call for papers and Submission Instructions
For the fourth year in a row, NeurIPS is host to a one-day workshop focused on Machine Learning for the Developing World (ML4D). This year’s program will focus on deploying machine learning to help improve resilience in low-income regions.
We invite researchers to submit their recent work on ML4D and particularly encourage submissions that engage with different ways machine learning can be leveraged to build resilient solutions for pressing development challenges. This includes, but is not limited to:
Methods for data disproportionately often used for development applications.
New benchmark datasets with development context.
Novel modeling approaches motivated by resource constraints and other contextual characteristics of deploying ML in developing regions.
Empirical studies highlighting opportunities and limitations of building resilience through machine learning.
Discussions, reviews, and opinion pieces regarding the current state of the art of ML4D and the paths forward.
The organizers and the program committee will review submitted papers; to avoid conflicts of interest we will not assign papers to reviewers in the same organization as the paper authors and we will ask reviewers to opt-out of papers for which they may have conflicts of interest. In order to reach a broad audience, we will announce our schedule of talks and accepted papers on our website. As we have done in previous years, there will be (opt-in) proceedings of the workshop.
Please submit 3-4 page short papers following the NeurIPS style guidelines. The submission should be anonymized. Please submit your paper using the CMT submission site: https://cmt3.research.microsoft.com/ML4D2020.
Submission on CMT will be open from September 1st until the submission deadline on October 5th, 2020. Accepted papers will be presented as posters or contributed talks, and may opt-in to be published in an online proceedings.
Submission deadline: 11:59PM Pacific Time, October 5th, 2020 (Submission site)
Acceptance notification: October 30th, 2020
Workshop: Saturday, December 12th, 2020