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.
117 Publications
2023 |Published| Conference Paper | IST-REx-ID: 14921 |
Súkeník P, Mondelli M, Lampert C. Deep neural collapse is provably optimal for the deep unconstrained features model. In: 37th Annual Conference on Neural Information Processing Systems. ; 2023.
[Preprint]
View
| Download Preprint (ext.)
| arXiv
2022 |Submitted| Preprint | IST-REx-ID: 12660 |
Scott JA, Yeo MX, Lampert C. Cross-client Label Propagation for transductive federated learning. arXiv. doi:10.48550/arXiv.2210.06434
[Preprint]
View
| Files available
| DOI
| arXiv
2022 |Submitted| Preprint | IST-REx-ID: 12662 |
Súkeník P, Lampert C. Generalization in Multi-objective machine learning. arXiv. doi:10.48550/arXiv.2208.13499
[Preprint]
View
| DOI
| Download Preprint (ext.)
| arXiv
2022 |Published| Journal Article | IST-REx-ID: 12495 |
Iofinova EB, Konstantinov NH, Lampert C. FLEA: Provably robust fair multisource learning from unreliable training data. Transactions on Machine Learning Research. 2022.
[Published Version]
View
| Files available
| Download Published Version (ext.)
| arXiv
2022 |Published| Conference Paper | IST-REx-ID: 11839 |
Prach B, Lampert C. Almost-orthogonal layers for efficient general-purpose Lipschitz networks. In: Computer Vision – ECCV 2022. Vol 13681. Springer Nature; 2022:350-365. doi:10.1007/978-3-031-19803-8_21
[Preprint]
View
| DOI
| Download Preprint (ext.)
| arXiv
2022 |Published| Conference Paper | IST-REx-ID: 12161 |
Tomaszewska P, Lampert C. Lightweight conditional model extrapolation for streaming data under class-prior shift. In: 26th International Conference on Pattern Recognition. Vol 2022. Institute of Electrical and Electronics Engineers; 2022:2128-2134. doi:10.1109/icpr56361.2022.9956195
[Preprint]
View
| DOI
| Download Preprint (ext.)
| WoS
| arXiv
2022 |Published| Conference Paper | IST-REx-ID: 12299 |
Iofinova EB, Peste E-A, Kurtz M, Alistarh D-A. How well do sparse ImageNet models transfer? In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Institute of Electrical and Electronics Engineers; 2022:12256-12266. doi:10.1109/cvpr52688.2022.01195
[Preprint]
View
| Files available
| DOI
| Download Preprint (ext.)
| WoS
| arXiv
2022 |Published| Journal Article | IST-REx-ID: 10802 |
Konstantinov NH, Lampert C. Fairness-aware PAC learning from corrupted data. Journal of Machine Learning Research. 2022;23:1-60.
[Published Version]
View
| Files available
| arXiv
2022 |Published| Conference Paper | IST-REx-ID: 13241 |
Konstantinov NH, Lampert C. On the impossibility of fairness-aware learning from corrupted data. In: Proceedings of Machine Learning Research. Vol 171. ML Research Press; 2022:59-83.
[Preprint]
View
| Files available
| Download Preprint (ext.)
| arXiv
2022 |Published| Thesis | IST-REx-ID: 10799 |
Konstantinov NH. Robustness and fairness in machine learning. 2022. doi:10.15479/at:ista:10799
[Published Version]
View
| Files available
| DOI
2022 |Published| Conference Paper | IST-REx-ID: 10752
Lampert J, Lampert C. Overcoming rare-language discrimination in multi-lingual sentiment analysis. In: 2021 IEEE International Conference on Big Data. IEEE; 2022:5185-5192. doi:10.1109/bigdata52589.2021.9672003
View
| DOI
| WoS
2021 |Published| Conference Paper | IST-REx-ID: 9210 |
Volhejn V, Lampert C. Does SGD implicitly optimize for smoothness? In: 42nd German Conference on Pattern Recognition. Vol 12544. LNCS. Springer; 2021:246-259. doi:10.1007/978-3-030-71278-5_18
[Submitted Version]
View
| Files available
| DOI
2021 |Published| Conference Paper | IST-REx-ID: 9416 |
Phuong M, Lampert C. The inductive bias of ReLU networks on orthogonally separable data. In: 9th International Conference on Learning Representations. ; 2021.
[Published Version]
View
| Files available
| Download Published Version (ext.)
2021 |Submitted| Preprint | IST-REx-ID: 10803 |
Konstantinov NH, Lampert C. Fairness through regularization for learning to rank. arXiv. doi:10.48550/arXiv.2102.05996
[Preprint]
View
| Files available
| DOI
| Download Preprint (ext.)
| arXiv
2021 |Published| Thesis | IST-REx-ID: 9418 |
Phuong M. Underspecification in deep learning. 2021. doi:10.15479/AT:ISTA:9418
[Published Version]
View
| Files available
| DOI
2021 |Published| Book Chapter | IST-REx-ID: 14987
Lampert C. Zero-Shot Learning. In: Ikeuchi K, ed. Computer Vision. 2nd ed. Cham: Springer; 2021:1395-1397. doi:10.1007/978-3-030-63416-2_874
View
| DOI
2020 |Submitted| Preprint | IST-REx-ID: 8063 |
Anciukevicius T, Lampert C, Henderson PM. Object-centric image generation with factored depths, locations, and appearances. arXiv.
[Preprint]
View
| Download Preprint (ext.)
| arXiv
2020 |Published| Conference Paper | IST-REx-ID: 8188 |
Henderson PM, Lampert C. Unsupervised object-centric video generation and decomposition in 3D. In: 34th Conference on Neural Information Processing Systems. Vol 33. Curran Associates; 2020:3106–3117.
[Preprint]
View
| Download Preprint (ext.)
| arXiv
2020 |Published| Journal Article | IST-REx-ID: 6952 |
Henderson PM, Ferrari V. Learning single-image 3D reconstruction by generative modelling of shape, pose and shading. International Journal of Computer Vision. 2020;128:835-854. doi:10.1007/s11263-019-01219-8
[Published Version]
View
| Files available
| DOI
| WoS
| arXiv
2020 |Published| Conference Paper | IST-REx-ID: 7936 |
Royer A, Lampert C. Localizing grouped instances for efficient detection in low-resource scenarios. In: IEEE Winter Conference on Applications of Computer Vision. IEEE; 2020. doi:10.1109/WACV45572.2020.9093288
[Preprint]
View
| Files available
| DOI
| Download Preprint (ext.)
| arXiv