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Leyla Mirvakhabova
Leyla Mirvakhabova
Qualcomm AI Research
Подтвержден адрес электронной почты в домене qti.qualcomm.com
Название
Процитировано
Процитировано
Год
Hyperbolic image embeddings
V Khrulkov, L Mirvakhabova, E Ustinova, I Oseledets, V Lempitsky
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
3352020
Hyperbolic vision transformers: Combining improvements in metric learning
A Ermolov, L Mirvakhabova, V Khrulkov, N Sebe, I Oseledets
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
1122022
Tensorized embedding layers for efficient model compression
O Hrinchuk, V Khrulkov, L Mirvakhabova, E Orlova, I Oseledets
arXiv preprint arXiv:1901.10787, 2019
692019
Tensorized embedding layers for efficient model compression
V Khrulkov, O Hrinchuk, L Mirvakhabova, I Oseledets
arXiv preprint arXiv:1901.10787 33, 2019
502019
Performance of hyperbolic geometry models on top-n recommendation tasks
L Mirvakhabova, E Frolov, V Khrulkov, I Oseledets, A Tuzhilin
Proceedings of the 14th ACM Conference on Recommender Systems, 527-532, 2020
342020
Disentangled representations from non-disentangled models
V Khrulkov, L Mirvakhabova, I Oseledets, A Babenko
arXiv preprint arXiv:2102.06204, 2021
192021
Latent transformations via NeuralODEs for GAN-based image editing
V Khrulkov, L Mirvakhabova, I Oseledets, A Babenko
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
172021
Self-Attentive Sequential Recommendations with Hyperbolic Representations
E Frolov, T Matveeva, L Mirvakhabova, I Oseledets
Proceedings of the 18th ACM Conference on Recommender Systems, 981-986, 2024
2024
Tensorized embedding layers
O Hrinchuk, V Khrulkov, L Mirvakhabova, E Orlova, I Oseledets
Findings of the Association for Computational Linguistics: EMNLP 2020, 4847-4860, 2020
2020
Tensorized embedding layers
O Hrinchuk, V Khrulkov, L Mirvakhabova, E Orlova, I Oseledets
Findings of the Association for Computational Linguistics: EMNLP 2020, 4847-4860, 2020
2020
Hyperbolic Embeddings in Sequential Self-Attention for Improved Next-Item Recommendations
E Frolov, L Bashaeva, L Mirvakhabova, I Oseledets
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Статьи 1–11