Please note that LibreCat no longer supports Internet Explorer versions 8 or 9 (or earlier).
We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.
114 Publications
2023 | Journal Article | IST-REx-ID: 14446 |
Jakubík J, Phuong M, Chvosteková M, Krakovská A. 2023. Against the flow of time with multi-output models. Measurement Science Review. 23(4), 175–183.
[Published Version]
View
| Files available
| DOI
2023 | Conference Paper | IST-REx-ID: 14771 |
Iofinova EB, Peste E-A, Alistarh D-A. 2023. Bias in pruned vision models: In-depth analysis and countermeasures. 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition. CVPR: Conference on Computer Vision and Pattern Recognition, 24364–24373.
[Preprint]
View
| Files available
| DOI
| Download Preprint (ext.)
| WoS
| arXiv
2023 | Conference Paper | IST-REx-ID: 14921 |
Súkeník P, Mondelli M, Lampert C. Deep neural collapse is provably optimal for the deep unconstrained features model. 37th Annual Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, NeurIPS, .
[Preprint]
View
| Download Preprint (ext.)
| arXiv
2023 | Preprint | IST-REx-ID: 15039 |
Prach B, Lampert C. 1-Lipschitz neural networks are more expressive with N-activations. arXiv, 2311.06103.
[Preprint]
View
| DOI
| Download Preprint (ext.)
| arXiv
2022 | Preprint | IST-REx-ID: 12660 |
Scott JA, Yeo MX, Lampert C. Cross-client Label Propagation for transductive federated learning. arXiv, 2210.06434.
[Preprint]
View
| Files available
| DOI
| arXiv
2022 | Preprint | IST-REx-ID: 12662 |
Súkeník P, Lampert C. Generalization in Multi-objective machine learning. arXiv, 2208.13499.
[Preprint]
View
| DOI
| Download Preprint (ext.)
| arXiv
2022 | Journal Article | IST-REx-ID: 12495 |
Iofinova EB, Konstantinov NH, Lampert C. 2022. FLEA: Provably robust fair multisource learning from unreliable training data. Transactions on Machine Learning Research.
[Published Version]
View
| Files available
| Download Published Version (ext.)
| arXiv
2022 | Conference Paper | IST-REx-ID: 11839 |
Prach B, Lampert C. 2022. Almost-orthogonal layers for efficient general-purpose Lipschitz networks. Computer Vision – ECCV 2022. ECCV: European Conference on Computer Vision, LNCS, vol. 13681, 350–365.
[Preprint]
View
| DOI
| Download Preprint (ext.)
| arXiv
2022 | Conference Paper | IST-REx-ID: 12161 |
Tomaszewska P, Lampert C. 2022. Lightweight conditional model extrapolation for streaming data under class-prior shift. 26th International Conference on Pattern Recognition. ICPR: International Conference on Pattern Recognition vol. 2022, 2128–2134.
[Preprint]
View
| DOI
| Download Preprint (ext.)
| WoS
| arXiv
2022 | Conference Paper | IST-REx-ID: 12299 |
Iofinova EB, Peste E-A, Kurtz M, Alistarh D-A. 2022. How well do sparse ImageNet models transfer? 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition. CVPR: Computer Vision and Pattern Recognition, 12256–12266.
[Preprint]
View
| Files available
| DOI
| Download Preprint (ext.)
| WoS
| arXiv
2022 | Journal Article | IST-REx-ID: 10802 |
Konstantinov NH, Lampert C. 2022. Fairness-aware PAC learning from corrupted data. Journal of Machine Learning Research. 23, 1–60.
[Published Version]
View
| Files available
| arXiv
2022 | Conference Paper | IST-REx-ID: 13241 |
Konstantinov NH, Lampert C. 2022. On the impossibility of fairness-aware learning from corrupted data. Proceedings of Machine Learning Research. vol. 171, 59–83.
[Preprint]
View
| Files available
| Download Preprint (ext.)
| arXiv
2022 | Thesis | IST-REx-ID: 10799 |
Konstantinov NH. 2022. Robustness and fairness in machine learning. Institute of Science and Technology Austria.
[Published Version]
View
| Files available
| DOI
2021 | Conference Paper | IST-REx-ID: 9210 |
Volhejn V, Lampert C. 2021. Does SGD implicitly optimize for smoothness? 42nd German Conference on Pattern Recognition. DAGM GCPR: German Conference on Pattern Recognition LNCS vol. 12544, 246–259.
[Submitted Version]
View
| Files available
| DOI
2021 | Conference Paper | IST-REx-ID: 9416 |
Phuong M, Lampert C. 2021. The inductive bias of ReLU networks on orthogonally separable data. 9th International Conference on Learning Representations. ICLR: International Conference on Learning Representations.
[Published Version]
View
| Files available
| Download Published Version (ext.)
2021 | Preprint | IST-REx-ID: 10803 |
Konstantinov NH, Lampert C. Fairness through regularization for learning to rank. arXiv, 2102.05996.
[Preprint]
View
| Files available
| DOI
| Download Preprint (ext.)
| arXiv
2021 | Thesis | IST-REx-ID: 9418 |
Phuong M. 2021. Underspecification in deep learning. Institute of Science and Technology Austria.
[Published Version]
View
| Files available
| DOI
2020 | Preprint | IST-REx-ID: 8063 |
Anciukevicius T, Lampert C, Henderson PM. Object-centric image generation with factored depths, locations, and appearances. arXiv, 2004.00642.
[Preprint]
View
| Download Preprint (ext.)
| arXiv