2 papers
cs.LG2025
Mapping on a Budget: Optimizing Spatial Data Collection for ML
Livia Betti, Farooq Sanni, Gnouyaro Sogoyou +4
In applications across agriculture, ecology, and human development, machine learning with satellite imagery (SatML) is limited by the sparsity of labeled training data. While satel…
cs.LG2025
Latent Domain Modeling Improves Robustness to Geographic Shifts
Ruth Crasto, Esther Rolf
Geographic distribution shift arises when the distribution of locations on Earth in a training dataset is different from what is seen at inference time. Using standard empirical ri…