Climate Change

Recent progress in self-supervision shows that pre-training large neural networks on vast amounts of unsupervised data can lead to …

NeurIPS Datasets and Benchmarks Track (NeurIPS Datasets), 2023.

Geospatial Information Systems are used by researchers and Humanitarian Assistance and Disaster Response (HADR) practitioners to …

Alexandre Lacoste, Martin Weiss, Nasim Rahaman

Workshop at the Neural Information Processing Systems (NeurIPS), 2022.

Climate change is one of the greatest challenges facing humanity, and we, as machine learning experts, may wonder how we can help. Here …

ACM Computing Surveys, 2022.

Recent progress in self-supervision shows that pre-training large neural networks on vast amounts of unsupervised data can lead to …

Workshop at the Neural Information Processing Systems (NeurIPS), 2021.

Remote sensing and automatic earth monitoring are key to solve global-scale challenges such as disaster prevention, land use …

International Conference on Computer Vision (ICCV), 2021.

Cattle farming is responsible for 8.8% of greenhouse gas emissions worldwide. In addition to the methane emitted due to their digestive …

Workshop at the Neural Information Processing Systems (NeurIPS), 2020.

The authors believe that tracking and communicating the environmental impact of ML should be a key part of the research and development …

IEEE Technology and Society Magazine (TSM), 2020.

Climate change is one of the greatest challenges facing humanity, and we, as machine learning experts, may wonder how we can help. Here …

Workshop at the Neural Information Processing Systems (NeurIPS), 2019.

From an environmental standpoint, there are a few crucial aspects of training a neural network that have a major impact on the quantity …

ArXiv, 2019.

Here we present a new method of estimating global variations in outdoor PM2.5 concentrations using satellite images combined with …

Workshop at the International Conference on Machine Learning (ICML), 2019.