Proceedings of the NeurIPS 2020 Workshop on Machine Learning for the Developing World: Improving Resilience
Tejumade Afonja, Konstantin Klemmer, Aya Salama, Paula Rodriguez Diaz, Niveditha Kalavakonda, Oluwafemi Azeez
arXiv:2101.04347v1
Originality Synthesis-oriented
AI Analysis
It highlights ML applications for resilience in developing countries, but is incremental as it is a workshop proceedings.
This paper compiles the proceedings of the 4th workshop on Machine Learning for the Developing World (ML4D), which addressed challenges in applying ML to improve resilience in developing regions, but does not report specific results or numbers.
These are the proceedings of the 4th workshop on Machine Learning for the Developing World (ML4D), held as part of the Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS) on Saturday, December 12th 2020.