Call for Papers - Workshop on Unlearning and Model Editing U&ME at ECCV 2026 [R]
Mirrored from r/MachineLearning for archival readability. Support the source by reading on the original site.
I have been seeing a lot of really interesting work lately around unlearning, model editing, controllability, safety, etc. Feels like this space is moving very fast right now, and there are still so many open questions.
This year I’m helping organize the U&ME workshop at ECCV 2026, and honestly I’d really love to see submissions from people in the community — especially students and researchers who are exploring new ideas, even if the work is still evolving.
A lot of the best workshop conversations come from unfinished ideas, weird observations, failed directions that taught something useful, or work that doesn’t neatly fit into a main conference paper.
So if you’ve been working on anything around:
- Unlearning
- Model Stitching and Editing
- Model Merging and "MoErging" (Mixture of Experts Merging)
- Model compression
- Efficient domain adaptation
- Multi-domain/cross-domain U&ME
- Online/lifelong learning, unlearning, and model editing
- Responsible U&ME (e.g., robustness, ethics and fairness, resource efficiency, privacy, and regulatory compliance)
- Applications in computer vision
please consider submitting :)
Would be really nice to bring together people thinking deeply about these problems at ECCV 2026.
[link] [comments]
More from r/MachineLearning
-
Improving machine-translated novels via style transfer — looking for advice on the faithfulness/fluency tradeoff [P]
Jul 2
-
How papers are selected for Best Paper, Oral, or Highlight presentation at major ML/CV conferences such as CVPR, ICCV, ECCV, NeurIPS, and ICLR? [D]
Jul 2
-
BMVC 2026 Review Discussion Thread [D]
Jul 2
-
Has anyone tried this approach with Fast Byte Latent Transformers ? [R]
Jul 2
Discussion (0)
Sign in to join the discussion. Free account, 30 seconds — email code or GitHub.
Sign in →No comments yet. Sign in and be the first to say something.