6 Publications

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[6]
2023 | Published | Journal Article | IST-REx-ID: 14446 | OA
Jakubík, J., Phuong, M., Chvosteková, M., & Krakovská, A. (2023). Against the flow of time with multi-output models. Measurement Science Review. Sciendo. https://doi.org/10.2478/msr-2023-0023
[Published Version] View | Files available | DOI
 
[5]
2021 | Published | Conference Paper | IST-REx-ID: 9416 | OA
Phuong, M., & Lampert, C. (2021). The inductive bias of ReLU networks on orthogonally separable data. In 9th International Conference on Learning Representations. Virtual.
[Published Version] View | Files available | Download Published Version (ext.)
 
[4]
2021 | Published | Thesis | IST-REx-ID: 9418 | OA
Phuong, M. (2021). Underspecification in deep learning. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:9418
[Published Version] View | Files available | DOI
 
[3]
2020 | Published | Conference Paper | IST-REx-ID: 7481 | OA
Phuong, M., & Lampert, C. (2020). Functional vs. parametric equivalence of ReLU networks. In 8th International Conference on Learning Representations. Online.
[Published Version] View | Files available
 
[2]
2019 | Published | Conference Paper | IST-REx-ID: 6569 | OA
Phuong, M., & Lampert, C. (2019). Towards understanding knowledge distillation. In Proceedings of the 36th International Conference on Machine Learning (Vol. 97, pp. 5142–5151). Long Beach, CA, United States: ML Research Press.
[Published Version] View | Files available
 
[1]
2019 | Published | Conference Paper | IST-REx-ID: 7479 | OA
Phuong, M., & Lampert, C. (2019). Distillation-based training for multi-exit architectures. In IEEE International Conference on Computer Vision (Vol. 2019–October, pp. 1355–1364). Seoul, Korea: IEEE. https://doi.org/10.1109/ICCV.2019.00144
[Submitted Version] View | Files available | DOI | WoS
 

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6 Publications

Mark all

[6]
2023 | Published | Journal Article | IST-REx-ID: 14446 | OA
Jakubík, J., Phuong, M., Chvosteková, M., & Krakovská, A. (2023). Against the flow of time with multi-output models. Measurement Science Review. Sciendo. https://doi.org/10.2478/msr-2023-0023
[Published Version] View | Files available | DOI
 
[5]
2021 | Published | Conference Paper | IST-REx-ID: 9416 | OA
Phuong, M., & Lampert, C. (2021). The inductive bias of ReLU networks on orthogonally separable data. In 9th International Conference on Learning Representations. Virtual.
[Published Version] View | Files available | Download Published Version (ext.)
 
[4]
2021 | Published | Thesis | IST-REx-ID: 9418 | OA
Phuong, M. (2021). Underspecification in deep learning. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:9418
[Published Version] View | Files available | DOI
 
[3]
2020 | Published | Conference Paper | IST-REx-ID: 7481 | OA
Phuong, M., & Lampert, C. (2020). Functional vs. parametric equivalence of ReLU networks. In 8th International Conference on Learning Representations. Online.
[Published Version] View | Files available
 
[2]
2019 | Published | Conference Paper | IST-REx-ID: 6569 | OA
Phuong, M., & Lampert, C. (2019). Towards understanding knowledge distillation. In Proceedings of the 36th International Conference on Machine Learning (Vol. 97, pp. 5142–5151). Long Beach, CA, United States: ML Research Press.
[Published Version] View | Files available
 
[1]
2019 | Published | Conference Paper | IST-REx-ID: 7479 | OA
Phuong, M., & Lampert, C. (2019). Distillation-based training for multi-exit architectures. In IEEE International Conference on Computer Vision (Vol. 2019–October, pp. 1355–1364). Seoul, Korea: IEEE. https://doi.org/10.1109/ICCV.2019.00144
[Submitted Version] View | Files available | DOI | WoS
 

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