Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022 | 1338 | 2022 |
Adaptive machine unlearning V Gupta, C Jung, S Neel, A Roth, S Sharifi-Malvajerdi, C Waites Advances in Neural Information Processing Systems 34, 16319-16330, 2021 | 193 | 2021 |
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models, 2022 A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... URL https://arxiv. org/abs/2206.04615, 2022 | 32 | 2022 |
Differentially private synthetic mixed-type data generation for unsupervised learning U Tantipongpipat, C Waites, D Boob, AA Siva, R Cummings arXiv preprint arXiv:1912.03250, 2019 | 29 | 2019 |
Differentially private synthetic mixed-type data generation for unsupervised learning UT Tantipongpipat, C Waites, D Boob, AA Siva, R Cummings Intelligent Decision Technologies 15 (4), 779-807, 2021 | 27 | 2021 |
Differentially private normalizing flows for privacy-preserving density estimation C Waites, R Cummings Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 1000 …, 2021 | 18 | 2021 |
GABO: graph augmentations with bi-level optimization HW Chung, A Datta, C Waites arXiv preprint arXiv:2104.00722, 2021 | 3 | 2021 |
Differentially Private Synthetic Data Generation via GANs D Boob, R Cummings, D Kimpara, U Tantipongpipat, C Waites, ... UnlinkableDataChallenge/round/358/entry/20533, 2018 | 1 | 2018 |