| Neural codes for image retrieval A Babenko, A Slesarev, A Chigorin, V Lempitsky Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 1403 | 2014 |
| Aggregating local deep features for image retrieval A Babenko, V Lempitsky Proceedings of the IEEE international conference on computer vision, 1269-1277, 2015 | 735 | 2015 |
| The inverted multi-index A Babenko, V Lempitsky IEEE transactions on pattern analysis and machine intelligence 37 (6), 1247-1260, 2014 | 427 | 2014 |
| Aggregating deep convolutional features for image retrieval A Babenko, V Lempitsky arXiv preprint arXiv:1510.07493, 2015 | 299 | 2015 |
| Unsupervised Discovery of Interpretable Directions in the GAN Latent Space A Voynov, A Babenko ICML'2020, 2020 | 270 | 2020 |
| Additive quantization for extreme vector compression A Babenko, V Lempitsky Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 246 | 2014 |
| Efficient indexing of billion-scale datasets of deep descriptors A Babenko, V Lempitsky Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 184 | 2016 |
| Revisiting Deep Learning Models for Tabular Data Y Gorishniy, I Rubachev, V Khrulkov, A Babenko NeurIPS'2021, 2021 | 173 | 2021 |
| Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data S Popov, S Morozov, A Babenko ICLR'2020, 2020 | 146 | 2020 |
| Tree quantization for large-scale similarity search and classification A Babenko, V Lempitsky Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 115 | 2015 |
| Editable Neural Networks A Sinitsin, V Plokhotnyuk, S Popov, A Babenko ICLR'2020, 2020 | 85 | 2020 |
| Label-Efficient Semantic Segmentation with Diffusion Models D Baranchuk, I Rubachev, A Voynov, V Khrulkov, A Babenko ICLR'2022, 2022 | 84 | 2022 |
| Revisiting the inverted indices for billion-scale approximate nearest neighbors D Baranchuk, A Babenko, Y Malkov Proceedings of the European Conference on Computer Vision (ECCV), 202-216, 2018 | 66 | 2018 |
| Non-metric similarity graphs for maximum inner product search S Morozov, A Babenko Advances in Neural Information Processing Systems 31, 2018 | 57 | 2018 |
| Navigating the GAN Parameter Space for Semantic Image Editing A Cherepkov, A Voynov, A Babenko CVPR'2021, 2021 | 53 | 2021 |
| Object Segmentation Without Labels with Large-Scale Generative Models A Voynov, S Morozov, A Babenko ICML'2021, 10596-10606, 2021 | 39* | 2021 |
| On Self-Supervised Image Representations for GAN Evaluation S Morozov, A Voynov, A Babenko ICLR'2021, 2021 | 29 | 2021 |
| Unsupervised Neural Quantization for Compressed-Domain Similarity Search S Morozov, A Babenko ICCV, 2019, 2019 | 22 | 2019 |
| Learning to Route in Similarity Graphs D Baranchuk, D Persiyanov, A Sinitsin, A Babenko ICML'2019, 2019 | 22 | 2019 |
| Improving bilayer product quantization for billion-scale approximate nearest neighbors in high dimensions A Babenko, V Lempitsky arXiv preprint arXiv:1404.1831, 2014 | 22 | 2014 |
