| Domino: Discovering systematic errors with cross-modal embeddings S Eyuboglu, M Varma, K Saab, JB Delbrouck, C Lee-Messer, J Dunnmon, ... arXiv preprint arXiv:2203.14960, 2022 | 107 | 2022 |
| Dataperf: Benchmarks for data-centric ai development M Mazumder, C Banbury, X Yao, B Karlaš, W Gaviria Rojas, S Diamos, ... Advances in Neural Information Processing Systems 36, 2024 | 93 | 2024 |
| Multi-task weak supervision enables anatomically-resolved abnormality detection in whole-body FDG-PET/CT S Eyuboglu, G Angus, BN Patel, A Pareek, G Davidzon, J Long, ... Nature communications 12 (1), 1880, 2021 | 35 | 2021 |
| Language models enable simple systems for generating structured views of heterogeneous data lakes S Arora, B Yang, S Eyuboglu, A Narayan, A Hojel, I Trummer, C Ré arXiv preprint arXiv:2304.09433, 2023 | 33 | 2023 |
| Zoology: Measuring and improving recall in efficient language models S Arora, S Eyuboglu, A Timalsina, I Johnson, M Poli, J Zou, A Rudra, C Ré arXiv preprint arXiv:2312.04927, 2023 | 29 | 2023 |
| Monarch mixer: A simple sub-quadratic gemm-based architecture D Fu, S Arora, J Grogan, I Johnson, ES Eyuboglu, A Thomas, B Spector, ... Advances in Neural Information Processing Systems 36, 2024 | 26 | 2024 |
| ViLMedic: a framework for research at the intersection of vision and language in medical AI J Delbrouck, K Saab, M Varma, S Eyuboglu, P Chambon, J Dunnmon, ... Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 24 | 2022 |
| dcbench: A benchmark for data-centric ai systems S Eyuboglu, B Karlaš, C Ré, C Zhang, J Zou Proceedings of the Sixth Workshop on Data Management for End-To-End Machine …, 2022 | 16 | 2022 |
| Simple linear attention language models balance the recall-throughput tradeoff S Arora, S Eyuboglu, M Zhang, A Timalsina, S Alberti, D Zinsley, J Zou, ... arXiv preprint arXiv:2402.18668, 2024 | 13 | 2024 |
| Hapi: A large-scale longitudinal dataset of commercial ml api predictions L Chen, Z Jin, ES Eyuboglu, C Ré, M Zaharia, JY Zou Advances in Neural Information Processing Systems 35, 24571-24585, 2022 | 7 | 2022 |
| Dataperf: Benchmarks for data-centric ai development, 2022 M Mazumder, C Banbury, X Yao, B Karlaš, WG Rojas, S Diamos, ... URL https://arxiv. org/abs/2207.10062, 0 | 6 | |
| OncoNet: Weakly Supervised Siamese Network to automate cancer treatment response assessment between longitudinal FDG PET/CT examinations A Joshi, S Eyuboglu, SC Huang, J Dunnmon, A Soin, G Davidzon, ... arXiv preprint arXiv:2108.02016, 2021 | 4 | 2021 |
| Mutual interactors as a principle for phenotype discovery in molecular interaction networks S Eyuboglu, M Zitnik, J Leskovec PACIFIC SYMPOSIUM ON BIOCOMPUTING 2023: Kohala Coast, Hawaii, USA, 3–7 …, 2022 | 3 | 2022 |
| Just read twice: closing the recall gap for recurrent language models S Arora, A Timalsina, A Singhal, B Spector, S Eyuboglu, X Zhao, A Rao, ... arXiv preprint arXiv:2407.05483, 2024 | | 2024 |
| Model ChangeLists: Characterizing Updates to ML Models S Eyuboglu, K Goel, A Desai, L Chen, M Monfort, C Ré, J Zou The 2024 ACM Conference on Fairness, Accountability, and Transparency, 2432-2453, 2024 | | 2024 |
| Medical Research as a Productivity Indicator MM Durvasula, S Eyuboglu, DM Ritzwoller arXiv preprint arXiv:2405.08030, 2024 | | 2024 |
| HAPI explorer: comprehension, discovery, and explanation on history of ML APIs L Chen, Z Jin, S Eyuboglu, H Qu, C Ré, M Zaharia, J Zou Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 16416 …, 2023 | | 2023 |
| Measuring and Improving Recall in Convolutional Language Models S Arora, S Eyuboglu, A Timalsina, I Johnson, M Poli, J Zou, A Rudra, C Ré | | |
| Model ChangeLists: Characterizing Changes in ML Prediction APIs S Eyuboglu, K Goel, AD Desai, L Chen, M Monfort, M Zaharia, C Re, ... | | |
