Weakly Supervised Learners for Correction of AI Errors with Provable
Performance Guarantees

Weakly Supervised Learners for Correction of AI Errors with Provable Performance Guarantees

31 January 2024

Daniel van Helden

Evgeny M. Mirkes

Oliver J. Sutton

Alexander N. Gorban

Penelope Allison

Papers citing "Weakly Supervised Learners for Correction of AI Errors with Provable Performance Guarantees"

6 / 6 papers shown

Title
Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation Volodymyr Kuleshov Shachi Deshpande UQCV BDL 346 34 0 14 Dec 2021
The mathematics of adversarial attacks in AI -- Why deep learning is unstable despite the existence of stable neural networks Alexander Bastounis A. Hansen Verner Vlacic AAML OOD 64 28 0 13 Sep 2021
Can stable and accurate neural networks be computed? -- On the barriers of deep learning and Smale's 18th problem Matthew J. Colbrook Vegard Antun A. Hansen 109 134 0 20 Jan 2021
Learning under Concept Drift: A Review Jie Lu Anjin Liu Fan Dong Feng Gu João Gama Guangquan Zhang AI4TS 57 1,274 0 13 Apr 2020
On instabilities of deep learning in image reconstruction - Does AI come at a cost? Vegard Antun F. Renna C. Poon Ben Adcock A. Hansen 48 601 0 14 Feb 2019
Blessing of dimensionality: mathematical foundations of the statistical physics of data A. N. Gorban I. Tyukin 62 149 0 10 Jan 2018