Proceedings of the NeurIPS 2021 Workshop on Machine Learning for the Developing World: Global Challenges
Paula Rodriguez Diaz, Tejumade Afonja, Konstantin Klemmer, Aya Salama, Niveditha Kalavakonda, Oluwafemi Azeez, Simone Fobi
arXiv:2301.04007v1h-index: 11
Originality Synthesis-oriented
AI Analysis
It targets researchers and practitioners interested in leveraging ML for socio-economic development, but is incremental as it aggregates existing workshop content.
This paper compiles proceedings from a workshop focused on applying machine learning to address global challenges in developing regions, presenting research and discussions from the event.
These are the proceedings of the 5th workshop on Machine Learning for the Developing World (ML4D), held as part of the Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS) on December 14th, 2021.