Lacoste, Alexandre

Quantifying the Carbon Emissions of Machine Learning

Lacoste, A., Luccioni, A., Schmidt, V., & Dandres, T. (2019) · arXiv

Green IT and SustainabilityEnergy Efficiency in Computing

Cited by 408

Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data

Manas, O., Lacoste, A., Giro-i-Nieto, X., Vazquez, D., & Rodriguez, P. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Remote-Sensing Image ClassificationDomain Adaptation and Few-Shot Learning

Cited by 354

Tackling climate change with machine learning

Rolnick, D., Donti, P. L., Kaack, L. H., Kochanski, K., Lacoste, A., Sankaran, K., Ross, A. S., Milojevic-Dupont, N., Jaques, N., Waldman-Brown, A., et al. (2023) · ACM Computing Surveys

Climate Change and Environmental ImpactArtificial Intelligence Applications

Cited by 336

Coarse-to-Fine Question Answering for Long Documents

Choi, E., Hewlett, D., Uszkoreit, J., Polosukhin, I., Lacoste, A., & Berant, J. (2017) · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 177

GEO-Bench: Toward Foundation Models for Earth Monitoring

Lacoste, A., Lehmann, N., Rodriguez, P., Sherwin, E., Kerner, H., Lütjens, B., Irvin, J., Dao, D., Alemohammad, H., Drouin, A., et al. (2023) · Advances in Neural Information Processing Systems 36

Remote-Sensing Image ClassificationRemote Sensing in Agriculture

Cited by 40

WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks?

Drouin, A., Gasse, M., Caccia, M., Laradji, I. H., Del Verme, M., Marty, T., Boisvert, L., Thakkar, M., Cappart, Q., Vazquez, D., et al. (2024) · arXiv

Robotic Process Automation ApplicationsWeb Data Mining and Analysis

Cited by 3