Alexander J. Ratner

15 papers A* 6A 1Journal 4Unranked 4
YearRankTypeTitle / Venue / Authors
2023 A* conf
Characterizing the Impacts of Semi-supervised Learning for Weak Supervision.
NeurIPS
Jeffrey Li, Jieyu Zhang, Ludwig Schmidt, Alexander J. Ratner
2023 A* conf
DataComp: In search of the next generation of multimodal datasets.
NeurIPS
Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, Jonathan Hayase, Georgios Smyrnis, Thao Nguyen, Ryan Marten, Mitchell Wortsman, Dhruba Ghosh, Jieyu Zhang, Eyal Orgad, Rahim Entezari, Giannis Daras, Sarah M. Pratt, Vivek Ramanujan, Yonatan Bitton, Kalyani Marathe, Stephen Mussmann, Richard Vencu, Mehdi Cherti, Ranjay Krishna, Pang Wei Koh, Olga Saukh, Alexander J. Ratner, Shuran Song, Hannaneh Hajishirzi, Ali Farhadi, Romain Beaumont, Sewoong Oh, Alex Dimakis, Jenia Jitsev, Yair Carmon, Vaishaal Shankar, Ludwig Schmidt
2023 A* conf
Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias.
NeurIPS
Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander J. Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang
2023 A* conf
On the Trade-off of Intra-/Inter-class Diversity for Supervised Pre-training.
NeurIPS
Jieyu Zhang, Bohan Wang, Zhengyu Hu, Pang Wei Koh, Alexander J. Ratner
2022 J jnl
Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data Programming.
Proc. VLDB Endow.
Cheng-Yu Hsieh, Jieyu Zhang, Alexander J. Ratner
2022 A* conf
Understanding Programmatic Weak Supervision via Source-aware Influence Function.
NeurIPS
Jieyu Zhang, Haonan Wang, Cheng-Yu Hsieh, Alexander J. Ratner
2020 J jnl
Cross-Modal Data Programming Enables Rapid Medical Machine Learning.
Patterns
Jared A. Dunnmon, Alexander J. Ratner, Khaled Saab, Nishith Khandwala, Matthew Markert, Hersh Sagreiya, Roger E. Goldman, Christopher Lee-Messer, Matthew P. Lungren, Daniel L. Rubin, Christopher Ré
2019 A* conf
Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices.
NeurIPS
Vincent S. Chen, Sen Wu, Alexander J. Ratner, Jen Weng, Christopher Ré
2019 A conf
The Role of Massively Multi-Task and Weak Supervision in Software 2.0.
CIDR
Alexander J. Ratner, Braden Hancock, Christopher Ré
2018 J jnl
A Kernel Theory of Modern Data Augmentation.
CoRR
Tri Dao, Albert Gu, Alexander J. Ratner, Virginia Smith, Christopher De Sa, Christopher Ré
2017 — conf
Learning to Compose Domain-Specific Transformations for Data Augmentation.
NIPS
Alexander J. Ratner, Henry R. Ehrenberg, Zeshan Hussain, Jared Dunnmon, Christopher Ré
2017 J jnl
Learning to Compose Domain-Specific Transformations for Data Augmentation.
CoRR
Alexander J. Ratner, Henry R. Ehrenberg, Zeshan Hussain, Jared Dunnmon, Christopher Ré
2017 — conf
Snorkel: Fast Training Set Generation for Information Extraction.
SIGMOD Conference
Alexander J. Ratner, Stephen H. Bach, Henry R. Ehrenberg, Christopher Ré
2016 — conf
Data Programming: Creating Large Training Sets, Quickly.
NIPS
Alexander J. Ratner, Christopher De Sa, Sen Wu, Daniel Selsam, Christopher Ré
2016 — conf
Data programming with DDLite: putting humans in a different part of the loop.
HILDA@SIGMOD
Henry R. Ehrenberg, Jaeho Shin, Alexander J. Ratner, Jason A. Fries, Christopher Ré