| Multimae: Multi-modal multi-task masked autoencoders R Bachmann, D Mizrahi, A Atanov, A Zamir European Conference on Computer Vision, 348-367, 2022 | 284 | 2022 |
| 3d common corruptions and data augmentation OF Kar, T Yeo, A Atanov, A Zamir Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 131 | 2022 |
| Uncertainty estimation via stochastic batch normalization A Atanov, A Ashukha, D Molchanov, K Neklyudov, D Vetrov Advances in Neural Networks–ISNN 2019: 16th International Symposium on …, 2019 | 61 | 2019 |
| The deep weight prior A Atanov, A Ashukha, K Struminsky, D Vetrov, M Welling arXiv preprint arXiv:1810.06943, 2018 | 47 | 2018 |
| Semi-conditional normalizing flows for semi-supervised learning A Atanov, A Volokhova, A Ashukha, I Sosnovik, D Vetrov arXiv preprint arXiv:1905.00505, 2019 | 37 | 2019 |
| Task discovery: Finding the tasks that neural networks generalize on A Atanov, A Filatov, T Yeo, A Sohmshetty, A Zamir Advances in Neural Information Processing Systems 35, 15702-15717, 2022 | 11 | 2022 |
| Mean embeddings with test-time data augmentation for ensembling of representations A Ashukha, A Atanov, D Vetrov arXiv preprint arXiv:2106.08038, 2021 | 6 | 2021 |
| Controlled training data generation with diffusion models T Yeo, A Atanov, H Benoit, A Alekseev, R Ray, PE Akhoondi, A Zamir arXiv preprint arXiv:2403.15309, 2024 | 3 | 2024 |
| Unraveling the key components of OOD generalization via diversification H Benoit, L Jiang, A Atanov, OF Kar, M Rigotti, A Zamir arXiv preprint arXiv:2312.16313, 2023 | 2 | 2023 |
| Solving vision tasks with simple photoreceptors instead of cameras A Atanov, J Fu, R Singh, I Yu, A Spielberg, A Zamir arXiv preprint arXiv:2406.11769, 2024 | 1 | 2024 |
| Simple control baselines for evaluating transfer learning A Atanov, S Xu, O Beker, A Filatov, A Zamir arXiv preprint arXiv:2202.03365, 2022 | 1 | 2022 |
| How Far Can a 1-Pixel Camera Go? Solving Vision Tasks Using Photoreceptors and Computationally Designed Visual Morphology A Atanov, J Fu, R Singh, I Yu, A Spielberg, A Zamir European Conference on Computer Vision, 458-476, 2024 | | 2024 |
| Large (Vision) Language Models are Unsupervised In-Context Learners A Gadetsky, A Atanov, Y Jiang, Z Gao, GH Mighan, A Zamir, M Brbic The Thirteenth International Conference on Learning Representations, 0 | | |
| How well does GPT-4o understand vision? Solving standard computer vision tasks with multimodal foundation models R Ramachandran, A Garjani, A Atanov, OF Kar, A Zamir | | |
| Measuring the Effectiveness of Self-Supervised Learning using Calibrated Learning Curves A Atanov, S Xu, O Beker, A Filatov, A Zamir | | |
| Reproducibility Summary A Atanov, V Shumovskaia, M Vujasinovic | | |
Arsenii AshukhaIsomorphic LabsВерификована је имејл адреса на google.com