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Mary Phuong
Mary Phuong
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Title
Cited by
Cited by
Year
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
3482023
Towards understanding knowledge distillation
M Phuong, C Lampert
International conference on machine learning, 5142-5151, 2019
2672019
Distillation-based training for multi-exit architectures
M Phuong, CH Lampert
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
1772019
Model evaluation for extreme risks
T Shevlane, S Farquhar, B Garfinkel, M Phuong, J Whittlestone, J Leung, ...
arXiv preprint arXiv:2305.15324, 2023
682023
Formal algorithms for transformers
M Phuong, M Hutter
arXiv preprint arXiv:2207.09238, 2022
632022
Goal misgeneralization: why correct specifications aren't enough for correct goals
R Shah, V Varma, R Kumar, M Phuong, V Krakovna, J Uesato, Z Kenton
arXiv preprint arXiv:2210.01790, 2022
452022
The inductive bias of ReLU networks on orthogonally separable data
M Phuong, CH Lampert
International Conference on Learning Representations, 2020
302020
Functional vs. parametric equivalence of ReLU networks
M Phuong, CH Lampert
International conference on learning representations, 2019
282019
The mutual autoencoder: Controlling information in latent code representations
M Phuong, M Welling, N Kushman, R Tomioka, S Nowozin
222018
The mutual autoencoder: Controlling information in latent code representations, 2018
M Phuong, M Welling, N Kushman, R Tomioka, S Nowozin
URL https://openreview. net/forum, 0
8
Model evaluation for extreme risks (arXiv: 2305.15324). arXiv
T Shevlane, S Farquhar, B Garfinkel, M Phuong, J Whittlestone, J Leung, ...
72023
International conference on machine learning
M Phuong, C Lampert
PMLR,, 2019
62019
Evaluating Frontier Models for Dangerous Capabilities
M Phuong, M Aitchison, E Catt, S Cogan, A Kaskasoli, V Krakovna, ...
arXiv preprint arXiv:2403.13793, 2024
2024
Underspecification in deep learning
P Bui Thi Mai
2021
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Articles 1–14