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Mary Phuong
Mary Phuong
Verified email at ist.ac.at - Homepage
Title
Cited by
Cited by
Year
Towards understanding knowledge distillation
M Phuong, C Lampert
International conference on machine learning, 5142-5151, 2019
2422019
Distillation-based training for multi-exit architectures
M Phuong, CH Lampert
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
1582019
Model evaluation for extreme risks
T Shevlane, S Farquhar, B Garfinkel, M Phuong, J Whittlestone, J Leung, ...
arXiv preprint arXiv:2305.15324, 2023
372023
Formal algorithms for transformers
M Phuong, M Hutter
arXiv preprint arXiv:2207.09238, 2022
352022
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
272022
Functional vs. parametric equivalence of ReLU networks
P Bui Thi Mai, C Lampert
8th International Conference on Learning Representations, 2020
262020
The inductive bias of ReLU networks on orthogonally separable data
M Phuong, CH Lampert
International Conference on Learning Representations, 2020
242020
The mutual autoencoder: Controlling information in latent code representations
M Phuong, M Welling, N Kushman, R Tomioka, S Nowozin
212018
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
Goal Misgeneralization: Why Correct Specifications Aren’t Enough For Correct Goals’. arXiv
R Shah, V Varma, R Kumar, M Phuong, V Krakovna, J Uesato, Z Kenton
arXiv preprint ArXiv:2210.01790, 2022
62022
International conference on machine learning
M Phuong, C Lampert
PMLR,, 2019
62019
Underspecification in deep learning
P Bui Thi Mai
2021
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Articles 1–12