Alex Ratner
University of Washington
H-index: 24
North America-United States
Top articles of Alex Ratner
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Datacomp: In search of the next generation of multimodal datasets | Advances in Neural Information Processing Systems | Samir Yitzhak Gadre Gabriel Ilharco Alex Fang Jonathan Hayase Georgios Smyrnis | 2024/2/13 |
Large language model as attributed training data generator: A tale of diversity and bias | Advances in Neural Information Processing Systems | Yue Yu* Yuchen Zhuang* Jieyu Zhang* Yu Meng Alexander Ratner | 2023/6/28 |
On the trade-off of intra-/inter-class diversity for supervised pre-training | Advances in Neural Information Processing Systems | Jieyu Zhang Bohan Wang Zhengyu Hu Pang Wei W Koh Alexander J Ratner | 2024/2/13 |
Characterizing the Impacts of Semi-supervised Learning for Weak Supervision | Advances in Neural Information Processing Systems | Jeffrey Li Jieyu Zhang Ludwig Schmidt Alexander J Ratner | 2024/2/13 |
MaskSearch: Querying Image Masks at Scale | arXiv preprint arXiv:2305.02375 | Dong He Jieyu Zhang Maureen Daum Alexander Ratner Magdalena Balazinska | 2023/5/3 |
Distilling step-by-step! outperforming larger language models with less training data and smaller model sizes | arXiv preprint arXiv:2305.02301 | Cheng-Yu Hsieh Chun-Liang Li Chih-Kuan Yeh Hootan Nakhost Yasuhisa Fujii | 2023/5/3 |
Leveraging instance features for label aggregation in programmatic weak supervision | Jieyu Zhang Linxin Song Alex Ratner | 2023/4/11 | |
Tool documentation enables zero-shot tool-usage with large language models | arXiv preprint arXiv:2308.00675 | Cheng-Yu Hsieh Si-An Chen Chun-Liang Li Yasuhisa Fujii Alexander Ratner | 2023/8/1 |
Nemo: Guiding and contextualizing weak supervision for interactive data programming | Proceedings of the VLDB Endowment | Cheng-Yu Hsieh Jieyu Zhang Alexander Ratner | 2022/3/2 |
A survey on programmatic weak supervision | arXiv preprint arXiv:2202.05433 | Jieyu Zhang Cheng-Yu Hsieh Yue Yu Chao Zhang Alexander Ratner | 2022/2/11 |
Understanding programmatic weak supervision via source-aware influence function | Advances in Neural Information Processing Systems | Jieyu Zhang* Haonan Wang* Cheng-Yu Hsieh Alexander J Ratner | 2022/12/6 |
Binary classification with positive labeling sources | Jieyu Zhang Yujing Wang Yaming Yang Yang Luo Alexander Ratner | 2022/10/17 | |
WRENCH: A comprehensive benchmark for weak supervision | Jieyu Zhang Yue Yu Yinghao Li Yujing Wang Yaming Yang | 2021/9/23 | |
Proceedings of the First Workshop on Weakly Supervised Learning (WeaSuL) | arXiv preprint arXiv:2107.03690 | Michael A Hedderich Benjamin Roth Katharina Kann Barbara Plank Alex Ratner | 2021/7/8 |
Creating training sets via weak indirect supervision | Jieyu Zhang Bohan Wang Xiangchen Song Yujing Wang Yaming Yang | 2021/10/7 | |
Extracting chemical reactions from text using Snorkel | BMC bioinformatics | Emily K Mallory Matthieu de Rochemonteix Alex Ratner Ambika Acharya Chris Re | 2020/12 |
AMELIE speeds Mendelian diagnosis by matching patient phenotype and genotype to primary literature | Science Translational Medicine | Johannes Birgmeier Maximilian Haeussler Cole A Deisseroth Ethan H Steinberg Karthik A Jagadeesh | 2020/5/20 |
Cross-modal data programming enables rapid medical machine learning | Patterns | Jared A Dunnmon Alexander J Ratner Khaled Saab Nishith Khandwala Matthew Markert | 2020/5/8 |
Co-Authors
