Andrei Atanov
Andrei Atanov
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Multimae: Multi-modal multi-task masked autoencoders
R Bachmann, D Mizrahi, A Atanov, A Zamir
European Conference on Computer Vision, 348-367, 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
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
The deep weight prior
A Atanov, A Ashukha, K Struminsky, D Vetrov, M Welling
arXiv preprint arXiv:1810.06943, 2018
Semi-conditional normalizing flows for semi-supervised learning
A Atanov, A Volokhova, A Ashukha, I Sosnovik, D Vetrov
arXiv preprint arXiv:1905.00505 920, 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
Mean embeddings with test-time data augmentation for ensembling of representations
A Ashukha, A Atanov, D Vetrov
arXiv preprint arXiv:2106.08038, 2021
Simple control baselines for evaluating transfer learning
A Atanov, S Xu, O Beker, A Filatov, A Zamir
arXiv preprint arXiv:2202.03365, 2022
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
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
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
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
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