arXiv Machine Learning July 1, 2026 By Cl\'ement Fuchs, Tim Bary, Beno\^it Macq

Localized Conformal Prediction for Image Classification with Vision-Language Models

Read the original on arXiv Machine Learning →

arXiv:2606. 31577v1 Announce Type: cross Abstract: Conformal predictions have attracted significant attention in the field of uncertainty quantification, mainly because of their strong marginal coverage guarantees.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

arXiv Machine Learning

4d ago

Scaling Full Conformal Image Classifiers

arXiv:2609.37298v1 Announce Type: new Abstract: Conformal prediction provides set-valued predictions with distribution-free coverage guarantees, making it attractive for high-stakes image classificat...

By Julio Silva-Rodr\'iguez, Ender Konukoglu

llms computer-vision multimodal benchmarks

arXiv Machine Learning

Jun 30

Conformal Prediction with Macro-Coverage Guarantees

arXiv:2606. 28598v1 Announce Type: cross Abstract: Prediction sets should have high coverage to be useful, but some coverage notions are more practically relevant than others.

By Aabesh Bhattacharyya, Tiffany Ding, Rina Foygel Barber

computer-vision

arXiv Machine Learning

Sep 15

Noise-Adaptive Conformal Classification with Marginal Coverage

arXiv:2501.18060v2 Announce Type: replace-cross Abstract: Conformal inference provides a rigorous statistical framework for uncertainty quantification in machine learning, enabling well-calibrated pr...

By Teresa Bortolotti, Y. X. Rachel Wang, Xin Tong, Alessandra Menafoglio, Simone Vantini, Matteo Sesia

arXiv AI

Jun 2

Domain-Shift-Aware Conformal Prediction for Large Language Models

arXiv:2510. 05566v2 Announce Type: replace-cross Abstract: Large language models have achieved impressive performance across diverse tasks.

By Zhexiao Lin, Yuanyuan Li, Neeraj Sarna, Yuanyuan Gao, Michael von Gablenz

llms benchmarks safety

arXiv Machine Learning

Jun 25

Adaptive Cumulative Mass Calibration with Conformal Prediction

arXiv:2505. 15437v3 Announce Type: replace-cross Abstract: Reliable probability estimates by classifiers are essential in high-risk applications.

By Daniil Kazantsev, Eric Moulines, Maxim Panov, Nikita Kotelevskii, Mohsen Guizani

computer-vision

arXiv Computer Vision

Sep 10

Learning to Adapt and Calibrate: Score Distribution Alignment for Few-Shot Uncertainty Prediction in Medical VLMs

arXiv:2609.10333v1 Announce Type: new Abstract: Uncertainty estimation for medical vision--language models (VLMs) using conformal prediction has gained increasing attention due to its distribution-fr...

By Xuan Cuong Ngo, Ngan Le

llms fine-tuning multimodal safety

One email a morning, machine-written

Related stories

Scaling Full Conformal Image Classifiers

Conformal Prediction with Macro-Coverage Guarantees

Noise-Adaptive Conformal Classification with Marginal Coverage

Domain-Shift-Aware Conformal Prediction for Large Language Models

Adaptive Cumulative Mass Calibration with Conformal Prediction

Learning to Adapt and Calibrate: Score Distribution Alignment for Few-Shot Uncertainty Prediction in Medical VLMs