Personalized federated learning using hypernetworks A Shamsian, A Navon, E Fetaya, G Chechik International Conference on Machine Learning, 9489-9502, 2021 | 321 | 2021 |
Learning the Pareto Front with Hypernetworks A Navon, A Shamsian, G Chechik, E Fetaya International Conference on Learning Representations, https://openreview.net …, 2020 | 130 | 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 | 108 | 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 | 102 | 2021 |
Auxiliary learning by implicit differentiation A Navon, I Achituve, H Maron, G Chechik, E Fetaya arXiv preprint arXiv:2007.02693, 2020 | 59 | 2020 |
A study on the evaluation of generative models E Betzalel, C Penso, A Navon, E Fetaya arXiv preprint arXiv:2206.10935, 2022 | 43 | 2022 |
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 | 42 | 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 |
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 |
Equivariant deep weight space alignment A Navon, A Shamsian, E Fetaya, G Chechik, N Dym, H Maron arXiv preprint arXiv:2310.13397, 2023 | 7 | 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 | 4 | 2024 |
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 |
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 |
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 |
Capturing between-tasks covariance and similarities using multivariate linear mixed models A Navon, S Rosset | | 2020 |