Towards understanding knowledge distillation M Phuong, C Lampert International conference on machine learning, 5142-5151, 2019 | 242 | 2019 |
Distillation-based training for multi-exit architectures M Phuong, CH Lampert Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 158 | 2019 |
Model evaluation for extreme risks T Shevlane, S Farquhar, B Garfinkel, M Phuong, J Whittlestone, J Leung, ... arXiv preprint arXiv:2305.15324, 2023 | 37 | 2023 |
Formal algorithms for transformers M Phuong, M Hutter arXiv preprint arXiv:2207.09238, 2022 | 35 | 2022 |
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 | 27 | 2022 |
Functional vs. parametric equivalence of ReLU networks P Bui Thi Mai, C Lampert 8th International Conference on Learning Representations, 2020 | 26 | 2020 |
The inductive bias of ReLU networks on orthogonally separable data M Phuong, CH Lampert International Conference on Learning Representations, 2020 | 24 | 2020 |
The mutual autoencoder: Controlling information in latent code representations M Phuong, M Welling, N Kushman, R Tomioka, S Nowozin | 21 | 2018 |
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 | 6 | 2022 |
International conference on machine learning M Phuong, C Lampert PMLR,, 2019 | 6 | 2019 |
Underspecification in deep learning P Bui Thi Mai | | 2021 |