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9 Publications
2023 | Published | Conference Paper | IST-REx-ID: 14771 | 
Iofinova, E. B., Krumes, A., & Alistarh, D.-A. (2023). Bias in pruned vision models: In-depth analysis and countermeasures. In 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 24364–24373). Vancouver, BC, Canada: IEEE. https://doi.org/10.1109/cvpr52729.2023.02334
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2022 | Published | Conference Paper | IST-REx-ID: 14114 |
Zietlow, D., Lohaus, M., Balakrishnan, G., Kleindessner, M., Locatello, F., Scholkopf, B., & Russell, C. (2022). Leveling down in computer vision: Pareto inefficiencies in fair deep classifiers. In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 10400–10411). New Orleans, LA, United States: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/cvpr52688.2022.01016
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2022 | Published | Conference Paper | IST-REx-ID: 12299 |
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
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2020 | Published | Conference Paper | IST-REx-ID: 18259 |
Alfassy, A., Karlinsky, L., Aides, A., Shtok, J., Harary, S., Feris, R., … Bronstein, A. M. (2020). Laso: Label-set operations networks for multi-label few-shot learning. In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Long Beach, CA, United States: IEEE. https://doi.org/10.1109/cvpr.2019.00671
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2020 | Published | Conference Paper | IST-REx-ID: 18258
Karlinsky, L., Shtok, J., Harary, S., Schwartz, E., Aides, A., Feris, R., … Bronstein, A. M. (2020). Repmet: Representative-based metric learning for classification and few-shot object detection. In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Long Beach, CA, United States: IEEE. https://doi.org/10.1109/cvpr.2019.00534
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2020 | Published | Conference Paper | IST-REx-ID: 18260
Halimi, O., Litany, O., Rodola, E. R., Bronstein, A. M., & Kimmel, R. (2020). Unsupervised learning of dense shape correspondence. In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Long Beach, CA, United States: IEEE. https://doi.org/10.1109/cvpr.2019.00450
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2020 | Published | Conference Paper | IST-REx-ID: 8186 |
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
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2018 | Published | Conference Paper | IST-REx-ID: 18270 |
Litany, O., Bronstein, A. M., Bronstein, M., & Makadia, A. (2018). Deformable shape completion with graph convolutional autoencoders. In 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Salt Lake City, UT, United States: IEEE. https://doi.org/10.1109/cvpr.2018.00202
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2018 | Published | Conference Paper | IST-REx-ID: 10882 |
Uijlings, J., Konyushkova, K., Lampert, C., & Ferrari, V. (2018). Learning intelligent dialogs for bounding box annotation. In 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 9175–9184). Salt Lake City, UT, United States: IEEE. https://doi.org/10.1109/cvpr.2018.00956
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