Selective classification for deep neural networks Y Geifman, R El-Yaniv Advances in neural information processing systems (NIPS 2017), 4878-4887, 2017 | 533 | 2017 |
SelectiveNet: A Deep Neural Network with an Integrated Reject Option Y Geifman, R El-Yaniv International Conference on Machine Learning (ICML 2019), 2019 | 313 | 2019 |
Deep active learning over the long tail Y Geifman, R El-Yaniv arXiv preprint arXiv:1711.00941, 2017 | 143 | 2017 |
Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers Y Geifman, G Uziel, R El-Yaniv International Conference on Learning Representations (ICLR 2019), 2018 | 122 | 2018 |
Deep active learning with a neural architecture search Y Geifman, R El-Yaniv Thirty-third Conference on Neural Information Processing Systems (NeurIPS 2019), 2018 | 52 | 2018 |
The Prediction Advantage: A Universally Meaningful Performance Measure for Classification and Regression R El-Yaniv, Y Geifman, Y Wiener arXiv preprint arXiv:1705.08499, 2017 | 2 | 2017 |
Window-Based Distribution Shift Detection for Deep Neural Networks G Bar Shalom, Y Geifman, R El-Yaniv Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
Uncertainty Estimation and Its Applications in Deep Neural Networks Y Geifman Ph.D. Thesis, 2019 | 1 | 2019 |
Distribution Shift Detection for Deep Neural Networks G Bar-Shalom, Y Geifman, R El-Yaniv arXiv preprint arXiv:2210.10897, 2022 | | 2022 |
System and method for automated optimazation of a neural network model ELY Ran, Y Geifman, J Elial US Patent App. 17/074,878, 2022 | | 2022 |