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124 Publications


2022 | Published | Conference Paper | IST-REx-ID: 10752
Lampert, J., & Lampert, C. (2022). Overcoming rare-language discrimination in multi-lingual sentiment analysis. In 2021 IEEE International Conference on Big Data (pp. 5185–5192). Orlando, FL, United States: IEEE. https://doi.org/10.1109/bigdata52589.2021.9672003
View | DOI | WoS
 

2022 | Published | Conference Paper | IST-REx-ID: 13241 | OA
Konstantinov, N. H., & Lampert, C. (2022). On the impossibility of fairness-aware learning from corrupted data. In Proceedings of Machine Learning Research (Vol. 171, pp. 59–83). ML Research Press.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 

2022 | Published | Conference Paper | IST-REx-ID: 11839 | OA
Prach, B., & Lampert, C. (2022). Almost-orthogonal layers for efficient general-purpose Lipschitz networks. In Computer Vision – ECCV 2022 (Vol. 13681, pp. 350–365). Tel Aviv, Israel: Springer Nature. https://doi.org/10.1007/978-3-031-19803-8_21
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2022 | Published | Conference Paper | IST-REx-ID: 12161 | OA
Tomaszewska, P., & Lampert, C. (2022). Lightweight conditional model extrapolation for streaming data under class-prior shift. In 26th International Conference on Pattern Recognition (Vol. 2022, pp. 2128–2134). Montreal, Canada: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/icpr56361.2022.9956195
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 

2022 | Published | Journal Article | IST-REx-ID: 12495 | OA
Iofinova, E. B., Konstantinov, N. H., & Lampert, C. (2022). FLEA: Provably robust fair multisource learning from unreliable training data. Transactions on Machine Learning Research. ML Research Press.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 

2022 | Published | Journal Article | IST-REx-ID: 10802 | OA
Konstantinov, N. H., & Lampert, C. (2022). Fairness-aware PAC learning from corrupted data. Journal of Machine Learning Research. ML Research Press.
[Published Version] View | Files available | arXiv
 

2022 | Published | Conference Paper | IST-REx-ID: 12299 | OA
Iofinova, E. B., Krumes, A., Kurtz, M., & Alistarh, D.-A. (2022). How well do sparse ImageNet models transfer? In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 12256–12266). New Orleans, LA, United States: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/cvpr52688.2022.01195
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 

2022 | Published | Thesis | IST-REx-ID: 10799 | OA
Konstantinov, N. H. (2022). Robustness and fairness in machine learning. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:10799
[Published Version] View | Files available | DOI
 

2021 | Published | Conference Paper | IST-REx-ID: 9210 | OA
Volhejn, V., & Lampert, C. (2021). Does SGD implicitly optimize for smoothness? In 42nd German Conference on Pattern Recognition (Vol. 12544, pp. 246–259). Tübingen, Germany: Springer. https://doi.org/10.1007/978-3-030-71278-5_18
[Submitted Version] View | Files available | DOI
 

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.)
 

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
 

2021 | Published | Book Chapter | IST-REx-ID: 14987
Lampert, C. (2021). Zero-Shot Learning. In K. Ikeuchi (Ed.), Computer Vision (2nd ed., pp. 1395–1397). Cham: Springer. https://doi.org/10.1007/978-3-030-63416-2_874
View | DOI
 

2021 | Draft | Preprint | IST-REx-ID: 10803 | OA
Konstantinov, N. H., & Lampert, C. (n.d.). Fairness through regularization for learning to rank. arXiv. https://doi.org/10.48550/arXiv.2102.05996
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 

2020 | Submitted | Preprint | IST-REx-ID: 8063 | OA
Anciukevicius, T., Lampert, C., & Henderson, P. M. (n.d.). Object-centric image generation with factored depths, locations, and appearances. arXiv. https://doi.org/10.48550/arXiv.2004.00642
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

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
 

2020 | Published | Conference Paper | IST-REx-ID: 7936 | OA
Royer, A., & Lampert, C. (2020). Localizing grouped instances for efficient detection in low-resource scenarios. In IEEE Winter Conference on Applications of Computer Vision. Snowmass Village, CO, United States: IEEE. https://doi.org/10.1109/WACV45572.2020.9093288
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 

2020 | Published | Conference Paper | IST-REx-ID: 7937 | OA
Royer, A., & Lampert, C. (2020). A flexible selection scheme for minimum-effort transfer learning. In 2020 IEEE Winter Conference on Applications of Computer Vision. Snowmass Village, CO, United States: IEEE. https://doi.org/10.1109/WACV45572.2020.9093635
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 

2020 | Published | Book Chapter | IST-REx-ID: 8092 | OA
Royer, A., Bousmalis, K., Gouws, S., Bertsch, F., Mosseri, I., Cole, F., & Murphy, K. (2020). XGAN: Unsupervised image-to-image translation for many-to-many mappings. In R. Singh, M. Vatsa, V. M. Patel, & N. Ratha (Eds.), Domain Adaptation for Visual Understanding (pp. 33–49). Springer Nature. https://doi.org/10.1007/978-3-030-30671-7_3
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 

2020 | Published | Conference Paper | IST-REx-ID: 8186 | OA
Henderson, P. M., Tsiminaki, V., & Lampert, C. (2020). Leveraging 2D data to learn textured 3D mesh generation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 7498–7507). Virtual: IEEE. https://doi.org/10.1109/CVPR42600.2020.00752
[Submitted Version] View | Files available | DOI | Download Submitted Version (ext.) | arXiv
 

2020 | Published | Conference Paper | IST-REx-ID: 8188 | OA
Henderson, P. M., & Lampert, C. (2020). Unsupervised object-centric video generation and decomposition in 3D. In 34th Conference on Neural Information Processing Systems (Vol. 33, pp. 3106–3117). Vancouver, Canada: Curran Associates.
[Preprint] View | Download Preprint (ext.) | arXiv
 

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