Mary Phuong
Graduate School
Lampert Group
6 Publications
2023 | Journal Article | IST-REx-ID: 14446 |
Against the flow of time with multi-output models
J. Jakubík, M. Phuong, M. Chvosteková, A. Krakovská, Measurement Science Review 23 (2023) 175–183.
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J. Jakubík, M. Phuong, M. Chvosteková, A. Krakovská, Measurement Science Review 23 (2023) 175–183.
2021 | Conference Paper | IST-REx-ID: 9416 |
The inductive bias of ReLU networks on orthogonally separable data
M. Phuong, C. Lampert, in:, 9th International Conference on Learning Representations, 2021.
[Published Version]
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M. Phuong, C. Lampert, in:, 9th International Conference on Learning Representations, 2021.
2021 | Thesis | IST-REx-ID: 9418 |
Underspecification in deep learning
M. Phuong, Underspecification in Deep Learning, Institute of Science and Technology Austria, 2021.
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M. Phuong, Underspecification in Deep Learning, Institute of Science and Technology Austria, 2021.
2020 | Conference Paper | IST-REx-ID: 7481 |
Functional vs. parametric equivalence of ReLU networks
M. Phuong, C. Lampert, in:, 8th International Conference on Learning Representations, 2020.
[Published Version]
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M. Phuong, C. Lampert, in:, 8th International Conference on Learning Representations, 2020.
2019 | Conference Paper | IST-REx-ID: 7479 |
Distillation-based training for multi-exit architectures
M. Phuong, C. Lampert, in:, IEEE International Conference on Computer Vision, IEEE, 2019, pp. 1355–1364.
[Submitted Version]
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| WoS
M. Phuong, C. Lampert, in:, IEEE International Conference on Computer Vision, IEEE, 2019, pp. 1355–1364.
2019 | Conference Paper | IST-REx-ID: 6569 |
Towards understanding knowledge distillation
M. Phuong, C. Lampert, in:, Proceedings of the 36th International Conference on Machine Learning, ML Research Press, 2019, pp. 5142–5151.
[Published Version]
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| Files available
M. Phuong, C. Lampert, in:, Proceedings of the 36th International Conference on Machine Learning, ML Research Press, 2019, pp. 5142–5151.
6 Publications
2023 | Journal Article | IST-REx-ID: 14446 |
Against the flow of time with multi-output models
J. Jakubík, M. Phuong, M. Chvosteková, A. Krakovská, Measurement Science Review 23 (2023) 175–183.
[Published Version]
View
| Files available
| DOI
J. Jakubík, M. Phuong, M. Chvosteková, A. Krakovská, Measurement Science Review 23 (2023) 175–183.
2021 | Conference Paper | IST-REx-ID: 9416 |
The inductive bias of ReLU networks on orthogonally separable data
M. Phuong, C. Lampert, in:, 9th International Conference on Learning Representations, 2021.
[Published Version]
View
| Files available
| Download Published Version (ext.)
M. Phuong, C. Lampert, in:, 9th International Conference on Learning Representations, 2021.
2021 | Thesis | IST-REx-ID: 9418 |
Underspecification in deep learning
M. Phuong, Underspecification in Deep Learning, Institute of Science and Technology Austria, 2021.
[Published Version]
View
| Files available
| DOI
M. Phuong, Underspecification in Deep Learning, Institute of Science and Technology Austria, 2021.
2020 | Conference Paper | IST-REx-ID: 7481 |
Functional vs. parametric equivalence of ReLU networks
M. Phuong, C. Lampert, in:, 8th International Conference on Learning Representations, 2020.
[Published Version]
View
| Files available
M. Phuong, C. Lampert, in:, 8th International Conference on Learning Representations, 2020.
2019 | Conference Paper | IST-REx-ID: 7479 |
Distillation-based training for multi-exit architectures
M. Phuong, C. Lampert, in:, IEEE International Conference on Computer Vision, IEEE, 2019, pp. 1355–1364.
[Submitted Version]
View
| Files available
| DOI
| WoS
M. Phuong, C. Lampert, in:, IEEE International Conference on Computer Vision, IEEE, 2019, pp. 1355–1364.
2019 | Conference Paper | IST-REx-ID: 6569 |
Towards understanding knowledge distillation
M. Phuong, C. Lampert, in:, Proceedings of the 36th International Conference on Machine Learning, ML Research Press, 2019, pp. 5142–5151.
[Published Version]
View
| Files available
M. Phuong, C. Lampert, in:, Proceedings of the 36th International Conference on Machine Learning, ML Research Press, 2019, pp. 5142–5151.