| 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 | 199 | 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 | 142 | 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 | 124 | 2021 |
| Auxiliary learning by implicit differentiation A Navon, I Achituve, H Maron, G Chechik, E Fetaya International Conference on Learning Representations, 2020 | 67 | 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 | 61 | 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 | 43 | 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 | 29 | 2019 |
| Guided Deep Kernel Learning I Achituve, G Chechik, E Fetaya Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial …, 2023 | 9 | 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 | 6 | 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 | 2 | 2024 |
| Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning I Achituve, I Diamant, A Netzer, G Chechik, E Fetaya International Conference on Machine Learning, 2024 | 2 | 2024 |
| Data augmentations in deep weight spaces A Shamsian, DW Zhang, A Navon, Y Zhang, M Kofinas, I Achituve, ... arXiv preprint arXiv:2311.08851, 2023 | 2 | 2023 |
| Communication efficient distributed learning over wireless channels I Achituve, W Wang, E Fetaya, A Leshem IEEE Signal Processing Letters 30, 1402-1406, 2023 | 2 | 2023 |
| Functional Ensemble Distillation C Penso, I Achituve, E Fetaya Advances in Neural Information Processing Systems, 2022 | 2 | 2022 |
| Inverse Problem Sampling in Latent Space Using Sequential Monte Carlo I Achituve, HV Habi, A Rosenfeld, A Netzer, I Diamant, E Fetaya arXiv preprint arXiv:2502.05908, 2025 | | 2025 |
| Efficient Image Restoration via Latent Consistency Flow Matching E Cohen, I Achituve, I Diamant, A Netzer, HV Habi arXiv preprint arXiv:2502.03500, 2025 | | 2025 |
| De-confusing Pseudo-labels in Source-Free Domain Adaptation I Diamant, A Rosenfeld, I Achituve, J Goldberger, A Netzer European Conference on Computer Vision, 108-125, 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 UniversityVerificeret mail på biu.ac.il