| Self-supervised learning for domain adaptation on point clouds I Achituve, H Maron, G Chechik Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021 | 177 | 2021 |
| Multi-task learning as a bargaining game A Navon, A Shamsian, I Achituve, H Maron, K Kawaguchi, G Chechik, ... International Conference on Machine Learning, 2022 | 107 | 2022 |
| Personalized federated learning with Gaussian processes I Achituve, A Shamsian, A Navon, G Chechik, E Fetaya Advances in Neural Information Processing Systems 34, 8392-8406, 2021 | 104 | 2021 |
| Auxiliary learning by implicit differentiation A Navon, I Achituve, H Maron, G Chechik, E Fetaya International Conference on Learning Representations, 2020 | 59 | 2020 |
| Equivariant architectures for learning in deep weight spaces A Navon, A Shamsian, I Achituve, E Fetaya, G Chechik, H Maron International Conference on Machine Learning, 25790-25816, 2023 | 39 | 2023 |
| GP-Tree: A Gaussian process classifier for few-shot incremental learning I Achituve, A Navon, Y Yemini, G Chechik, E Fetaya International Conference on Machine Learning, 54-65, 2021 | 37 | 2021 |
| Interpretable online banking fraud detection based on hierarchical attention mechanism I Achituve, S Kraus, J Goldberger 2019 IEEE 29th international workshop on machine learning for signal …, 2019 | 28 | 2019 |
| Guided Deep Kernel Learning I Achituve, G Chechik, E Fetaya Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial …, 2023 | 6 | 2023 |
| Gd-vdm: Generated depth for better diffusion-based video generation A Lapid, I Achituve, L Bracha, E Fetaya arXiv preprint arXiv:2306.11173, 2023 | 5 | 2023 |
| Functional Ensemble Distillation C Penso, I Achituve, E Fetaya Advances in Neural Information Processing Systems, 2022 | 2 | 2022 |
| Data Augmentations in Deep Weight Spaces A Shamsian, DW Zhang, A Navon, Y Zhang, M Kofinas, I Achituve, ... arXiv preprint arXiv:2311.08851, 2023 | 1 | 2023 |
| Communication efficient distributed learning over wireless channels I Achituve, W Wang, E Fetaya, A Leshem IEEE Signal Processing Letters, 2023 | 1 | 2023 |
| Lay-A-Scene: Personalized 3D Object Arrangement Using Text-to-Image Priors O Rahamim, H Segev, I Achituve, Y Atzmon, Y Kasten, G Chechik arXiv preprint arXiv:2406.00687, 2024 | | 2024 |
| Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning I Achituve, I Diamant, A Netzer, G Chechik, E Fetaya arXiv preprint arXiv:2402.04005, 2024 | | 2024 |
| De-Confusing Pseudo-Labels in Source-Free Domain Adaptation I Diamant, I Achituve, A Netzer arXiv preprint arXiv:2401.01650, 2024 | | 2024 |
| 2021 IEEE Winter Conference on Applications of Computer Vision (WACV)| 978-1-6654-0477-8/20/$31.00© 2021 IEEE| DOI: 10.1109/WACV48630. 2021.00411 I Achituve, Y Agrawal, AB Albu, W An, T Anderson, S Appalaraju, ... | | |
Gal ChechikNVIDIA, Bar Ilan UniversityAdresse e-mail validée de biu.ac.il
