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NeurIPS 2026U CopenhagenUniversity Of CopenhagenThe American University in CairoCopenhagenDeep learning theory

Characterizing Learning in Deep Neural Networks using a Tractable Algorithmic Complexity Estimator

Pedram Bakhtiarifard, Sophia Natasha Wilson, Mahmoud H. A. Afifi, Jonathan Wenshøj and 1 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Technical University of DenmarkUniversity Of CopenhagenFairness & bias

Towards Fairness under Label Bias in Image Segmentation: Impact, Measurement and Mitigation

A confident learning framework audits segmentation label bias without unbiased ground truth and mitigates subgroup disparities via feature-space separability.

Aditya Parikh, Stella Christina Frank, Sneha Das, Aasa Feragen

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 1/5