Holodetect: Few-shot learning for error detection A Heidari, J McGrath, IF Ilyas, T Rekatsinas Proceedings of the 2019 International Conference on Management of Data, 829-846, 2019 | 145 | 2019 |
Approximate denial constraints E Livshits, A Heidari, IF Ilyas, B Kimelfeld arXiv preprint arXiv:2005.08540, 2020 | 41 | 2020 |
Approximate inference in structured instances with noisy categorical observations A Heidari, IF Ilyas, T Rekatsinas Uncertainty in Artificial Intelligence, 412-421, 2020 | 9 | 2020 |
Record fusion: A learning approach A Heidari, G Michalopoulos, S Kushagra, IF Ilyas, T Rekatsinas arXiv preprint arXiv:2006.10208, 2020 | 8 | 2020 |
On sampling from data with duplicate records A Heidari, S Kushagra, IF Ilyas arXiv preprint arXiv:2008.10549, 2020 | 1 | 2020 |
Record Fusion via Inference and Data Augmentation A Heidari, G Michalopoulos, S Kushagra, I Ilyas, T Rekatsinas Journal of Data Science 1 (1), 24, 2023 | | 2023 |
Structured Prediction on Dirty Datasets A Heidari University of Waterloo, 2021 | | 2021 |
Approximate Inference in Structured Instances with Noisy Categorical Observations–Supplementary Material A Heidari, IF Ilyas, T Rekatsinas | | |