| When advocacy obscures accuracy online: digital pandemics of public health misinformation through an antifluoride case study B Seymour, R Getman, A Saraf, LH Zhang, E Kalenderian American journal of public health 105 (3), 517-523, 2015 | 110 | 2015 |
| Understanding failures in out-of-distribution detection with deep generative models L Zhang, M Goldstein, R Ranganath International Conference on Machine Learning, 12427-12436, 2021 | 89 | 2021 |
| Out-of-distribution generalization in the presence of nuisance-induced spurious correlations A Puli, LH Zhang, EK Oermann, R Ranganath arXiv preprint arXiv:2107.00520, 2021 | 42* | 2021 |
| When more is less: Incorporating additional datasets can hurt performance by introducing spurious correlations R Compton, L Zhang, A Puli, R Ranganath Machine Learning for Healthcare Conference, 110-127, 2023 | 7 | 2023 |
| Don’t blame dataset shift! shortcut learning due to gradients and cross entropy AM Puli, L Zhang, Y Wald, R Ranganath Advances in Neural Information Processing Systems 36, 71874-71910, 2023 | 6 | 2023 |
| Doc2Dict: Information Extraction as Text Generation B Townsend, E Ito-Fisher, L Zhang, M May arXiv preprint arXiv:2105.07510, 2021 | 6 | 2021 |
| Robustness to spurious correlations improves semantic out-of-distribution detection LH Zhang, R Ranganath Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 15305 …, 2023 | 4 | 2023 |
| Set norm and equivariant skip connections: Putting the deep in deep sets L Zhang, V Tozzo, J Higgins, R Ranganath International Conference on Machine Learning, 26559-26574, 2022 | 3 | 2022 |
| Graphical user interface systems for generating hierarchical data extraction training dataset JK Slater Victoroff, Madison May, Michael Langlie, Lily Zhang, Benjamin ... US Patent 11194953B1, 2021 | 2* | 2021 |
| Robust Anomaly Detection for Particle Physics Using Multi-Background Representation Learning A Gandrakota, L Zhang, A Puli, K Cranmer, J Ngadiuba, R Ranganath, ... arXiv preprint arXiv:2401.08777, 2024 | | 2024 |
| Towards Minimal Targeted Updates of Language Models with Targeted Negative Training LH Zhang, R Ranganath, A Tafvizi | | 2023 |
| Towards more scientific meta-analyses LH Zhang, M Konstantinidis, MA Bind, DB Rubin arXiv preprint arXiv:2308.13514, 2023 | | 2023 |
| Rapid Model Comparison by Amortizing Across Models LH Zhang, MC Hughes Symposium on Advances in Approximate Bayesian Inference, 1-11, 2020 | | 2020 |
Rajesh RanganathAssistant Professor, NYUVerified email at cs.princeton.edu
