| Performance of a chest radiograph ai diagnostic tool for covid-19: A prospective observational study J Sun, L Peng, T Li, D Adila, Z Zaiman, GB Melton-Meaux, NE Ingraham, ... Radiology: Artificial Intelligence 4 (4), e210217, 2022 | 38 | 2022 |
| Shoring up the foundations: Fusing model embeddings and weak supervision MF Chen, DY Fu, D Adila, M Zhang, F Sala, K Fatahalian, C Ré Uncertainty in Artificial Intelligence, 357-367, 2022 | 23 | 2022 |
| Zero-shot robustification of zero-shot models D Adila, C Shin, L Cai, F Sala International Conference on Learning Representations (ICLR), 2024, 2023 | 20 | 2023 |
| Understanding out-of-distribution: A perspective of data dynamics D Adila, D Kang I (Still) Can't Believe It's Not Better! Workshop at NeurIPS 2021, 1-8, 2022 | 17 | 2022 |
| A prospective observational study to investigate performance of a chest X-ray artificial intelligence diagnostic support tool across 12 US hospitals J Sun, L Peng, T Li, D Adila, Z Zaiman, GB Melton, N Ingraham, E Murray, ... ArXiv, arXiv: 2106.02118 v2, 2021 | 9 | 2021 |
| Autows-bench-101: Benchmarking automated weak supervision with 100 labels N Roberts, X Li, TH Huang, D Adila, S Schoenberg, CY Liu, L Pick, H Ma, ... Advances in Neural Information Processing Systems 35, 8912-8925, 2022 | 8 | 2022 |
| Discovering Bias in Latent Space: An Unsupervised Debiasing Approach D Adila, S Zhang, B Han, Y Wang International Conference on Machine Learning (ICML), 2024, 2024 | 6 | 2024 |
| Multimodal data curation via object detection and filter ensembles TH Huang, C Shin, SJ Tay, D Adila, F Sala arXiv preprint arXiv:2401.12225, 2024 | 4 | 2024 |
| Geometry-aware adaptation for pretrained models N Roberts, X Li, D Adila, S Cromp, TH Huang, J Zhao, F Sala Advances in Neural Information Processing Systems 36, 49628-49658, 2023 | 4 | 2023 |
| Mitigating source bias for fairer weak supervision C Shin, S Cromp, D Adila, F Sala Advances in Neural Information Processing Systems 36, 33564-33605, 2023 | 3 | 2023 |
| Is Free Self-Alignment Possible? D Adila, C Shin, Y Zhang, F Sala arXiv preprint arXiv:2406.03642, 2024 | 1 | 2024 |
| Causal Omnivore: Fusing Noisy Estimates of Spurious Correlations D Adila, S Cromp, S Mo, F Sala ICML 2022: Workshop on Spurious Correlations, Invariance and Stability, 2022 | | 2022 |
| Can Language Models Safeguard Themselves, Instantly and For Free? D Adila, C Shin, Y Zhang, F Sala ICML 2024 Next Generation of AI Safety Workshop, 0 | | |
| Shoring Up the Foundations: Fusing Model Embeddings and Weak Supervision (Supplementary material) MF Chen, DY Fu, D Adila, M Zhang, F Sala, K Fatahalian, C Ré | | |
Frederic SalaAssistant Professor, University of WisconsinOverená e-mailová adresa na: cs.wisc.edu