On the out-of-distribution generalization of probabilistic image modelling M Zhang, A Zhang, S McDonagh Advances in Neural Information Processing Systems 34, 3811-3823, 2021 | 37 | 2021 |
Measuring uncertainty in signal fingerprinting with gaussian processes going deep R Guan, A Zhang, M Li, Y Wang 2021 International Conference on Indoor Positioning and Indoor Navigation …, 2021 | 6 | 2021 |
Towards Dynamic and Scalable Active Learning with Neural Architecture Adaption for Object Detection F Tang, D Wei, C Jiang, H Xu, A Zhang, W Zhang, H Lu, C Xu BMVC, 2021 | 5 | 2021 |
Out-of-distribution detection with class ratio estimation M Zhang, A Zhang, TZ Xiao, Y Sun, S McDonagh arXiv preprint arXiv:2206.03955, 2022 | 4 | 2022 |
Falsehoods that ML researchers believe about OOD detection A Zhang, D Wischik ML Safety Workshop, NeurIPS 2022, 2022 | 3 | 2022 |
Constructing semantics-aware adversarial examples with probabilistic perspective A Zhang, D Wischik arXiv preprint arXiv:2306.00353, 2023 | 1 | 2023 |
SR-OOD: Out-of-Distribution Detection via Sample Repairing R Sun, A Zhang, H Zhang, Y Zhu, R Zhang, Z Li arXiv preprint arXiv:2305.18228, 2023 | 1 | 2023 |
Ood detection with class ratio estimation M Zhang, A Zhang, TZ Xiao, Y Sun, S McDonagh ML Safety Workshop, NeurIPS 2022, 2022 | 1 | 2022 |
Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector A Zhang, TZ Xiao, W Liu, R Bamler, D Wischik arXiv preprint arXiv:2404.08679, 2024 | | 2024 |
Solipsistic Reinforcement Learning M Zhang, P Hayes, TZ Xiao, A Zhang, D Barber | | |