| 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 | 97 | 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 | 29 | 2023 |
| Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs J Kossen, J Han, M Razzak, L Schut, S Malik, Y Gal arXiv preprint arXiv:2406.15927, 2024 | | 2024 |
| The Benefits and Risks of Transductive Approaches for AI Fairness M Razzak, A Kirsch, Y Gal arXiv preprint arXiv:2406.12011, 2024 | | 2024 |
| 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 |
| Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs J Han, J Kossen, M Razzak, L Schut, SA Malik, Y Gal ICML 2024 Workshop on Foundation Models in the Wild, 0 | | |
Yarin GalAssociate Professor, University of OxfordVerified email at cs.ox.ac.uk
