GRSS Special Stream of the Machine Learning for Remote Sensing (ML4RS) workshop at ICLR 2026
This Special Stream invites the accepted remote sensing-leaning papers from the Machine Learning for Remote Sensing (ML4RS) Workshop that took place in conjunction with the International Conference on Learning Representations (ICLR) on April 27th, 2026. It aims to acknowledge and publish the highest-quality contributions of the workshop in a proceedings-related format to make the research results accessible beyond the workshop itself.
List of Topics
- Domain adaptation, concept drift, out-of-distribution detection
- Evaluation with unlabeled data
- Model design
- Semi-, unsupervised, and self-supervised learning
- Multi-fidelity fusion
- Federated learning
- Data-centric approaches
- Human-in-the-loop and active learning
- Time series analysis
- Learning from limited labels (e.g., few-shot, meta-learning)
- New benchmarks
- Considerations of geographic equity and fairness.
- Applications addressing sustainability, societal needs, planetary exploration, agriculture, forestry, biodiversity, natural hazards, and other environmental challenges
Guest Editors:
- Esther Rolf, University of Colorado, Boulder
- Bianca Zadrozny, IBM
- Hannah Kerner, Arizona State University
- Marc Rußwurm, University of Bonn
- Evan Shelhamer, University of British Columbia
- Gabriel Tseng, Ai2
- Hamed Alemohammad, Clark University
Schedule:
- Submission System Open: May 1, 2026
- Submission System Close: September 1, 2026
All submissions must be formatted using the IEEE standard format (double-column, single-spaced) typically 4-5 pages. Please download the article template here. All submissions will be peer-reviewed according to the GRSS Guidelines. Please see also the GRSL Guidelines for Authors. Submitted articles must not have been published or be under review elsewhere. Submit your manuscript to the IEEE Author Portal and select our specific stream. Note that the standard GRSL publication fees apply.
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