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124 Publications

2022 | Published | Conference Paper | IST-REx-ID: 13241 | OA
On the impossibility of fairness-aware learning from corrupted data
N.H. Konstantinov, C. Lampert, in:, Proceedings of Machine Learning Research, ML Research Press, 2022, pp. 59–83.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
2022 | Published | Conference Paper | IST-REx-ID: 11839 | OA
Almost-orthogonal layers for efficient general-purpose Lipschitz networks
B. Prach, C. Lampert, in:, Computer Vision – ECCV 2022, Springer Nature, 2022, pp. 350–365.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2022 | Published | Conference Paper | IST-REx-ID: 12161 | OA
Lightweight conditional model extrapolation for streaming data under class-prior shift
P. Tomaszewska, C. Lampert, in:, 26th International Conference on Pattern Recognition, Institute of Electrical and Electronics Engineers, 2022, pp. 2128–2134.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
2022 | Published | Conference Paper | IST-REx-ID: 10752
Overcoming rare-language discrimination in multi-lingual sentiment analysis
J. Lampert, C. Lampert, in:, 2021 IEEE International Conference on Big Data, IEEE, 2022, pp. 5185–5192.
View | DOI | WoS
 
2022 | Published | Journal Article | IST-REx-ID: 12495 | OA
FLEA: Provably robust fair multisource learning from unreliable training data
E.B. Iofinova, N.H. Konstantinov, C. Lampert, Transactions on Machine Learning Research (2022).
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
2022 | Published | Conference Paper | IST-REx-ID: 12299 | OA
How well do sparse ImageNet models transfer?
E.B. Iofinova, A. Krumes, M. Kurtz, D.-A. Alistarh, in:, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Institute of Electrical and Electronics Engineers, 2022, pp. 12256–12266.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
2022 | Published | Journal Article | IST-REx-ID: 10802 | OA
Fairness-aware PAC learning from corrupted data
N.H. Konstantinov, C. Lampert, Journal of Machine Learning Research 23 (2022) 1–60.
[Published Version] View | Files available | arXiv
 
2022 | Published | Thesis | IST-REx-ID: 10799 | OA
Robustness and fairness in machine learning
N.H. Konstantinov, Robustness and Fairness in Machine Learning, Institute of Science and Technology Austria, 2022.
[Published Version] View | Files available | DOI
 
2021 | Published | Book Chapter | IST-REx-ID: 14987
Zero-Shot Learning
C. Lampert, in:, K. Ikeuchi (Ed.), Computer Vision, 2nd ed., Springer, Cham, 2021, pp. 1395–1397.
View | DOI
 
2021 | Published | Conference Paper | IST-REx-ID: 9210 | OA
Does SGD implicitly optimize for smoothness?
V. Volhejn, C. Lampert, in:, 42nd German Conference on Pattern Recognition, Springer, 2021, pp. 246–259.
[Submitted Version] View | Files available | DOI
 
2021 | Published | Conference Paper | IST-REx-ID: 9416 | OA
The inductive bias of ReLU networks on orthogonally separable data
Bui Thi Mai, Phuong, The inductive bias of ReLU networks on orthogonally separable data. 9th International Conference on Learning Representations. 2021
[Published Version] View | Files available | Download Published Version (ext.)
 
2021 | Draft | Preprint | IST-REx-ID: 10803 | OA
Fairness through regularization for learning to rank
N.H. Konstantinov, C. Lampert, ArXiv (n.d.).
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
2021 | Published | Thesis | IST-REx-ID: 9418 | OA
Underspecification in deep learning
M. Phuong, Underspecification in Deep Learning, Institute of Science and Technology Austria, 2021.
[Published Version] View | Files available | DOI
 
2020 | Published | Conference Paper | IST-REx-ID: 7481 | OA
Functional vs. parametric equivalence of ReLU networks
M. Phuong, C. Lampert, in:, 8th International Conference on Learning Representations, 2020.
[Published Version] View | Files available
 
2020 | Published | Conference Paper | IST-REx-ID: 8186 | OA
Leveraging 2D data to learn textured 3D mesh generation
P.M. Henderson, V. Tsiminaki, C. Lampert, in:, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, IEEE, 2020, pp. 7498–7507.
[Submitted Version] View | Files available | DOI | Download Submitted Version (ext.) | arXiv
 
2020 | Submitted | Preprint | IST-REx-ID: 8063 | OA
Object-centric image generation with factored depths, locations, and appearances
T. Anciukevicius, C. Lampert, P.M. Henderson, ArXiv (n.d.).
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2020 | Published | Conference Paper | IST-REx-ID: 8188 | OA
Unsupervised object-centric video generation and decomposition in 3D
Henderson, Paul M, Unsupervised object-centric video generation and decomposition in 3D. 34th Conference on Neural Information Processing Systems 33. 2020
[Preprint] View | Download Preprint (ext.) | arXiv
 
2020 | Published | Conference Paper | IST-REx-ID: 8724 | OA
On the sample complexity of adversarial multi-source PAC learning
N.H. Konstantinov, E. Frantar, D.-A. Alistarh, C. Lampert, in:, Proceedings of the 37th International Conference on Machine Learning, ML Research Press, 2020, pp. 5416–5425.
[Published Version] View | Files available | arXiv
 
2020 | Published | Journal Article | IST-REx-ID: 6952 | OA
Learning single-image 3D reconstruction by generative modelling of shape, pose and shading
P.M. Henderson, V. Ferrari, International Journal of Computer Vision 128 (2020) 835–854.
[Published Version] View | Files available | DOI | WoS | arXiv
 
2020 | Published | Thesis | IST-REx-ID: 8390 | OA
Leveraging structure in Computer Vision tasks for flexible Deep Learning models
A. Royer, Leveraging Structure in Computer Vision Tasks for Flexible Deep Learning Models, Institute of Science and Technology Austria, 2020.
[Published Version] View | Files available | DOI
 

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