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Andi Zhang
Andi Zhang
PhD candidate in Computer Science, University of Cambridge
Verified email at cam.ac.uk
Title
Cited by
Cited by
Year
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
372021
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
62021
Out-of-distribution detection with class ratio estimation
M Zhang, A Zhang, TZ Xiao, Y Sun, S McDonagh
arXiv preprint arXiv:2206.03955, 2022
42022
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
42021
Falsehoods that ML researchers believe about OOD detection
A Zhang, D Wischik
ML Safety Workshop, NeurIPS 2022, 2022
32022
Constructing semantics-aware adversarial examples with probabilistic perspective
A Zhang, D Wischik
arXiv preprint arXiv:2306.00353, 2023
12023
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
12023
Ood detection with class ratio estimation
M Zhang, A Zhang, TZ Xiao, Y Sun, S McDonagh
ML Safety Workshop, NeurIPS 2022, 2022
12022
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
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Articles 1–10