| 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 | 1300 | 2022 |
| Interpretation of neural networks is fragile A Ghorbani, A Abid, J Zou Proceedings of the AAAI conference on artificial intelligence 33 (01), 3681-3688, 2019 | 1023 | 2019 |
| A Primer on Deep Learning in Genomics J Zou, M Huss, A Abid, P Mohammadi, A Torkamani, A Telenti Nature genetics 51 (1), 12-18, 2019 | 861 | 2019 |
| Large language models associate Muslims with violence A Abid, M Farooqi, J Zou Nature Machine Intelligence 3 (6), 461-463, 2021 | 814* | 2021 |
| Deep learning interpretation of echocardiograms A Ghorbani, D Ouyang, A Abid, B He, JH Chen, RA Harrington, DH Liang, ... NPJ digital medicine 3 (1), 10, 2020 | 418 | 2020 |
| Integrating spatial gene expression and breast tumour morphology via deep learning B He, L Bergenstråhle, L Stenbeck, A Abid, A Andersson, Å Borg, ... Nature biomedical engineering 4 (8), 827-834, 2020 | 349 | 2020 |
| Concrete autoencoders: Differentiable feature selection and reconstruction MF Balın, A Abid, J Zou International conference on machine learning, 444-453, 2019 | 301* | 2019 |
| Gradio: Hassle-free sharing and testing of ml models in the wild A Abid, A Abdalla, A Abid, D Khan, A Alfozan, J Zou arXiv preprint arXiv:1906.02569, 2019 | 248 | 2019 |
| Exploring patterns enriched in a dataset with contrastive principal component analysis A Abid, MJ Zhang, VK Bagaria, J Zou Nature communications 9 (1), 2134, 2018 | 228* | 2018 |
| 3D‐printed gastric resident electronics YL Kong, X Zou, CA McCandler, AR Kirtane, S Ning, J Zhou, A Abid, ... Advanced Materials Technologies 4 (3), 1800490, 2019 | 107 | 2019 |
| Meaningfully debugging model mistakes using conceptual counterfactual explanations A Abid, M Yuksekgonul, J Zou International Conference on Machine Learning, 66-88, 2022 | 95 | 2022 |
| Federated benchmarking of medical artificial intelligence with MedPerf A Karargyris, R Umeton, MJ Sheller, A Aristizabal, J George, A Wuest, ... Nature machine intelligence 5 (7), 799-810, 2023 | 93 | 2023 |
| Contrastive variational autoencoder enhances salient features A Abid, J Zou arXiv preprint arXiv:1902.04601, 2019 | 92 | 2019 |
| Alethea Power, Alex Ray, Alex Warstadt, Alexander W A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... Kocurek, and Safaya et al, 2022 | 89 | 2022 |
| Linear regression with shuffled labels A Abid, A Poon, J Zou arXiv preprint arXiv:1705.01342, 2017 | 77 | 2017 |
| Wireless power transfer to millimeter-sized gastrointestinal electronics validated in a swine model A Abid, JM O’Brien, T Bensel, C Cleveland, L Booth, BR Smith, R Langer, ... Scientific reports 7 (1), 46745, 2017 | 60 | 2017 |
| Stochastic EM for Shuffled Linear Regression A Abid, J Zou arXiv preprint arXiv:1804.00681, 2018 | 51* | 2018 |
| Autowarp: Learning a warping distance from unlabeled time series using sequence autoencoders A Abid, J Zou Advances in Neural Information Processing Systems, 2018, 2018 | 27 | 2018 |
| Learning a warping distance from unlabeled time series using sequence autoencoders A Abid, JY Zou Advances in neural information processing systems 31, 2018 | 24 | 2018 |
| Model-based estimation of respiratory parameters from capnography, with application to diagnosing obstructive lung disease A Abid, RJ Mieloszyk, GC Verghese, BS Krauss, T Heldt IEEE Transactions on Biomedical Engineering 64 (12), 2957-2967, 2017 | 21 | 2017 |
James ZouStanford University確認したメール アドレス: stanford.edu