mlsanityData to 7 Oct 2026

Tackling Climate Change with Machine Learning

arXiv 1906.05433 ↗First posted 10 Jun 2019cs.CY cs.AI cs.LGcited by 264

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Abstract (arXiv)

Climate change is one of the greatest challenges facing humanity, and we, as machine learning experts, may wonder how we can help. Here we describe how machine learning can be a powerful tool in reducing greenhouse gas emissions and helping society adapt to a changing climate. From smart grids to disaster management, we identify high impact problems where existing gaps can be filled by machine learning, in collaboration with other fields. Our recommendations encompass exciting research questions as well as promising business opportunities. We call on the machine learning community to join the global effort against climate change.

Key facts. Cited by 264 papers in the map (data through 7 Oct 2026). First posted on arXiv 10 Jun 2019.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 44; 2022: 39; 2023: 60; 2024: 43; 2025: 54; 2026: 24.

264 papers.

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  1. 2021Sustainable AI: Environmental Implications, Challenges and Opportunitiescited by 242
  2. 2021Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Datacited by 214
  3. 2021DC3: A learning method for optimization with hard constraintscited by 181
  4. 2023CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked Autoencoderscited by 167
  5. 2023GEO-Bench: Toward Foundation Models for Earth Monitoringcited by 122
  6. 2023Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNscited by 113
  7. 2023Frontier AI Regulation: Managing Emerging Risks to Public Safetycited by 95
  8. 2023Rotated Multi-Scale Interaction Network for Referring Remote Sensing Image Segmentationcited by 76
  9. 2024Mission Critical -- Satellite Data is a Distinct Modality in Machine Learningcited by 76
  10. 2021TorchGeo: Deep Learning With Geospatial Datacited by 73
  11. 2023Connecting the Dots in Trustworthy Artificial Intelligence: From AI Principles, Ethics, and Key Requirements to Responsible AI Systems and Regulationcited by 60
  12. 2021Rotation Invariant Graph Neural Networks using Spin Convolutionscited by 52
38 more
  1. 2021Self-Supervised Material and Texture Representation Learning for Remote Sensing Taskscited by 49
  2. 2022Spherical Channels for Modeling Atomic Interactionscited by 47
  3. 2023Making AI Less "Thirsty": Uncovering and Addressing the Secret Water Footprint of AI Modelscited by 44
  4. 2021Interesting Object, Curious Agent: Learning Task-Agnostic Explorationcited by 38
  5. 2021Will Artificial Intelligence supersede Earth System and Climate Models?cited by 37
  6. 2022NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easycited by 36
  7. 2023How to estimate carbon footprint when training deep learning models? A guide and reviewcited by 34
  8. 2021Unraveling the Hidden Environmental Impacts of AI Solutions for Environmentcited by 32
  9. 2021Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimizationcited by 31
  10. 2021Constructing Neural Network-Based Models for Simulating Dynamical Systemscited by 29
  11. 2023MMST-ViT: Climate Change-aware Crop Yield Prediction via Multi-Modal Spatial-Temporal Vision Transformercited by 29
  12. 2021What are you optimizing for? Aligning Recommender Systems with Human Valuescited by 28
  13. 2022Investigating the fidelity of explainable artificial intelligence methods for applications of convolutional neural networks in geosciencecited by 28
  14. 2024Generative Diffusion-based Downscaling for Climatecited by 25
  15. 2023A review of ensemble learning and data augmentation models for class imbalanced problems: combination, implementation and evaluationcited by 24
  16. 2024Application-Driven Innovation in Machine Learningcited by 24
  17. 2025TerraTorch: The Geospatial Foundation Models Toolkitcited by 24
  18. 2021Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmarkcited by 22
  19. 2023Assessing Large Language Models on Climate Informationcited by 22
  20. 2024OPFData: Large-scale datasets for AC optimal power flow with topological perturbationscited by 22
  21. 2024Masked Angle-Aware Autoencoder for Remote Sensing Imagescited by 22
  22. 2021SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarkingcited by 21
  23. 2022Towards Climate Awareness in NLP Researchcited by 19
  24. 2023AI Foundation Models for Weather and Climate: Applications, Design, and Implementationcited by 19
  25. 2023Digital Typhoon: Long-term Satellite Image Dataset for the Spatio-Temporal Modeling of Tropical Cyclonescited by 19
  26. 2021Neural Network Attribution Methods for Problems in Geoscience: A Novel Synthetic Benchmark Datasetcited by 18
  27. 2022ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagerycited by 16
  28. 2021Data-driven geophysical forecasting: Simple, low-cost, and accurate baselines with kernel methodscited by 15
  29. 2023OpenForest: A data catalogue for machine learning in forest monitoringcited by 15
  30. 2024DiffESM: Conditional Emulation of Temperature and Precipitation in Earth System Models with 3D Diffusion Modelscited by 15
  31. 2022Current and Near-Term AI as a Potential Existential Risk Factorcited by 14
  32. 2023Extended Agriculture-Vision: An Extension of a Large Aerial Image Dataset for Agricultural Pattern Analysiscited by 14
  33. 2024CityLearn v2: Energy-flexible, resilient, occupant-centric, and carbon-aware management of grid-interactive communitiescited by 14
  34. 2023Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement Learningcited by 13
  35. 2021Differentiable Physics: A Position Piececited by 12
  36. 2023Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AIcited by 12
  37. 2021A Multi-scale Time-series Dataset with Benchmark for Machine Learning in Decarbonized Energy Gridscited by 11
  38. 2022Explainable Artificial Intelligence for Bayesian Neural Networks: Towards trustworthy predictions of ocean dynamicscited by 11

50 most cited of 264 All 264 (JSON)