| Personalized federated learning using hypernetworks A Shamsian, A Navon, E Fetaya, G Chechik International Conference on Machine Learning, 9489-9502, 2021 | 347 | 2021 |
| Learning the Pareto Front with Hypernetworks A Navon, A Shamsian, G Chechik, E Fetaya International Conference on Learning Representations, https://openreview.net …, 2020 | 138 | 2020 |
| Multi-task learning as a bargaining game A Navon, A Shamsian, I Achituve, H Maron, K Kawaguchi, G Chechik, ... arXiv preprint arXiv:2202.01017, 2022 | 117 | 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 | 112 | 2021 |
| Auxiliary learning by implicit differentiation A Navon, I Achituve, H Maron, G Chechik, E Fetaya arXiv preprint arXiv:2007.02693, 2020 | 60 | 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 | 53 | 2023 |
| A study on the evaluation of generative models E Betzalel, C Penso, A Navon, E Fetaya arXiv preprint arXiv:2206.10935, 2022 | 51 | 2022 |
| 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 | 38 | 2021 |
| Equivariant deep weight space alignment A Navon, A Shamsian, E Fetaya, G Chechik, N Dym, H Maron arXiv preprint arXiv:2310.13397, 2023 | 11 | 2023 |
| Open-Vocabulary Keyword-Spotting with Adaptive Instance Normalization A Navon, A Shamsian, N Glazer, G Hetz, J Keshet ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 8 | 2024 |
| Auxiliary learning as an asymmetric bargaining game A Shamsian, A Navon, N Glazer, K Kawaguchi, G Chechik, E Fetaya International Conference on Machine Learning, 30689-30705, 2023 | 8 | 2023 |
| Improved generalization of weight space networks via augmentations A Shamsian, A Navon, DW Zhang, Y Zhang, E Fetaya, G Chechik, ... arXiv preprint arXiv:2402.04081, 2024 | 5 | 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 |
| Combining Language Models For Specialized Domains: A Colorful Approach D Eitan, M Pirchi, N Glazer, S Meital, G Ayach, G Krendel, A Shamsian, ... arXiv preprint arXiv:2310.19708, 2023 | 2 | 2023 |
| Keyword-Guided Adaptation of Automatic Speech Recognition A Shamsian, A Navon, N Glazer, G Hetz, J Keshet arXiv preprint arXiv:2406.02649, 2024 | 1 | 2024 |
| Capturing between-tasks covariance and similarities using multivariate linear mixed models A Navon, S Rosset | 1 | 2020 |
| Whisper in Medusa's Ear: Multi-head Efficient Decoding for Transformer-based ASR Y Segal-Feldman, A Shamsian, A Navon, G Hetz, J Keshet arXiv preprint arXiv:2409.15869, 2024 | | 2024 |
| WhisperNER: Unified Open Named Entity and Speech Recognition G Ayache, M Pirchi, A Navon, A Shamsian, G Hetz, J Keshet arXiv preprint arXiv:2409.08107, 2024 | | 2024 |
| Multi Task Inverse Reinforcement Learning for Common Sense Reward N Glazer, A Navon, A Shamsian, E Fetaya arXiv preprint arXiv:2402.11367, 2024 | | 2024 |
| Learning Discrete Weights and Activations Using the Local Reparameterization Trick G Berger, A Navon, E Fetaya arXiv preprint arXiv:2307.01683, 2023 | | 2023 |
Ethan FetayaBar-Ilan UniversityDirección de correo verificada de biu.ac.il