| Xnas: Neural architecture search with expert advice N Nayman, A Noy, T Ridnik, I Friedman, R Jin, L Zelnik Advances in neural information processing systems 32, 2019 | 146 | 2019 |
| Asap: Architecture search, anneal and prune A Noy, N Nayman, T Ridnik, N Zamir, S Doveh, I Friedman, R Giryes, ... International conference on artificial intelligence and statistics, 493-503, 2020 | 119 | 2020 |
| Hardcore-nas: Hard constrained differentiable neural architecture search N Nayman, Y Aflalo, A Noy, L Zelnik International Conference on Machine Learning, 7979-7990, 2021 | 40 | 2021 |
| Two-stage kernel Bayesian optimization in high dimensions J Tan, N Nayman Uncertainty in Artificial Intelligence, 2099-2110, 2023 | 11* | 2023 |
| Diverse imagenet models transfer better N Nayman, A Golbert, A Noy, L Zelnik-Manor Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 10 | 2024 |
| BINAS: Bilinear Interpretable Neural Architecture Search N Nayman, Y Aflalo, A Noy, R Jin, L Zelnik-Manor 14th Asian Conference on Machine Learning, ACML 2022 189, 786-801, 2021 | 4 | 2021 |
| VisFocus: Prompt-guided vision encoders for ocr-free dense document understanding O Abramovich, N Nayman, S Fogel, I Lavi, R Litman, S Tsiper, R Tichauer, ... European Conference on Computer Vision, 241-259, 2024 | 1 | 2024 |
| FreeAugment: Data Augmentation Search Across All Degrees of Freedom T Bekor, N Nayman, L Zelnik-Manor European Conference on Computer Vision, 36-53, 2024 | | 2024 |
| Shortfall Risk Minimization Under Fixed Transaction Costs N Nayman International Journal of Theoretical and Applied Finance 21 (05), 1850034, 2018 | | 2018 |
| Supplementary Material for FreeAugment: Data Augmentation Search Across All Degrees of Freedom T Bekor, N Nayman, L Zelnik-Manor | | |
Lihi Zelnik-ManorTechnion - Israel Institute of TechnologyZweryfikowany adres z ee.technion.ac.il