| Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks A Malinin, N Band, G Chesnokov, Y Gal, MJF Gales, A Noskov, ... Advances in Neural Information Processing Systems (NeurIPS), Datasets and …, 2021 | 113 | 2021 |
| Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning Z Nado, N Band, M Collier, J Djolonga, MW Dusenberry, S Farquhar, ... arXiv preprint arXiv:2106.04015, 2021 | 98 | 2021 |
| Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning J Kossen*, N Band*, C Lyle, AN Gomez, T Rainforth, Y Gal Advances in Neural Information Processing Systems (NeurIPS), 2021 | 93 | 2021 |
| Plex: Towards reliability using pretrained large model extensions D Tran, J Liu, MW Dusenberry, D Phan, M Collier, J Ren, K Han, Z Wang, ... arXiv preprint arXiv:2207.07411, 2022 | 88 | 2022 |
| Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks N Band, TGJ Rudner, Q Feng, A Filos, Z Nado, MW Dusenberry, G Jerfel, ... Advances in Neural Information Processing Systems (NeurIPS), Datasets and …, 2021 | 36 | 2021 |
| MemFlow: Memory-aware distributed deep learning N Band Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 7 | 2020 |
| Linguistic Calibration of Language Models N Band, X Li, T Ma, T Hashimoto arXiv preprint arXiv:2404.00474, 2024 | | 2024 |
Yarin GalAssociate Professor, University of OxfordVahvistettu sähköpostiosoite verkkotunnuksessa cs.ox.ac.uk
