| Towards efficient data valuation based on the shapley value R Jia, D Dao, B Wang, FA Hubis, N Hynes, NM Gürel, B Li, C Zhang, ... The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 434 | 2019 |
| Revisiting the calibration of modern neural networks M Minderer, J Djolonga, R Romijnders, F Hubis, X Zhai, N Houlsby, ... Advances in Neural Information Processing Systems 34, 15682-15694, 2021 | 283 | 2021 |
| Efficient task-specific data valuation for nearest neighbor algorithms R Jia, D Dao, B Wang, FA Hubis, NM Gurel, B Li, C Zhang, CJ Spanos, ... arXiv preprint arXiv:1908.08619, 2019 | 215 | 2019 |
| Ease. ml/ci and ease. ml/meter in action: Towards data management for statistical generalization C Renggli, FA Hubis, B Karlaš, K Schawinski, W Wu, C Zhang Proceedings of the VLDB Endowment 12 (12), 1962-1965, 2019 | 14 | 2019 |
| Robustness Metrics, 2020 J Djolonga, F Hubis, M Minderer, Z Nado, J Nixon, R Romijnders, D Tran, ... URL https://github. com/google-research/robustness_metrics, 0 | 10 | |
| Embedding functions into reversible circuits: A probabilistic approach to the number of lines N Gleinig, FA Hubis, T Hoefler Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019 | 5 | 2019 |
| Quantitative Overfitting Management for Human-in-the-loop ML Application Development with ease. ml/meter FA Hubis, W Wu, C Zhang arXiv preprint arXiv:1906.00299, 2019 | 3 | 2019 |
| Supplementary Material: Towards Efficient Data Valuation Based on the Shapley Value R Jia, D Dao, B Wang, FA Hubis, N Hynes, NM Gurel, B Li, C Zhang, ... | | |
