Muhammed T Razzak

20212022202320241 13 62 33

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Yarin GalAssociate Professor, University of OxfordVerified email at cs.ox.ac.uk
Aidan GomezCohereVerified email at cohere.ai
Andreas KirschUniversity of OxfordVerified email at cs.ox.ac.uk
Sören MindermannUniversity of Oxford, OATMLVerified email at cs.ox.ac.uk
Sebastian FarquharGoogle DeepMindVerified email at google.com
Freddie KalaitzisSenior Research Fellow, University of OxfordVerified email at cs.ox.ac.uk
Kris SankaranAssistant Professor of Statistics, University of Wisconsin - MadisonVerified email at wisc.edu

Muhammed T Razzak

Verified email at cs.ox.ac.uk - Homepage


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Prioritized training on points that are learnable, worth learning, and not yet learnt S Mindermann, MT Razzak, W Xu*, A Kirsch, M Sharma, A Morisot, ... International Conference on Machine Learning, 15630-15649, 2022	84	2022
Multi-spectral multi-image super-resolution of Sentinel-2 with radiometric consistency losses and its effect on building delineation MT Razzak, G Mateo-García, G Lecuyer, L Gómez-Chova, Y Gal, ... ISPRS Journal of Photogrammetry and Remote Sensing 195, 1-13, 2023	26	2023
MIMSS: A Dataset to evaluate Multi-Image Multi-Spectral Super-Resolution on Sentinel 2 MT Razzak, G Mateo-Garcia, G Lecuyer, L Gomez-Chova, Y Gal, ... AI for Earth Science Workshop, ICLR 2022, 2022		2022
Prioritized training on points that are learnable, worth learning, and not yet learned (workshop version) S Mindermann, M Razzak, W Xu, A Kirsch, M Sharma, A Morisot, ... arXiv preprint arXiv:2107.02565, 2021		2021
Reducing the Burden of Aerial Image Labelling Through Human-in-the-Loop Machine Learning Methods MT Razzak		2021
Interactive Segmentation for Disaster Relief Mapping M Razzak, K Sankaran AI for Social Good Workshop, IJCAI, 2019		2019

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