Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data
Programming

Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data Programming

2 March 2022

Alexander Ratner

Papers citing "Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data Programming"

4 / 4 papers shown

Title
Regularized Data Programming with Automated Bayesian Prior Selection Jacqueline R. M. A. Maasch Hao Zhang Qian Yang Fei Wang Volodymyr Kuleshov 17 0 0 17 Oct 2022
AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels Nicholas Roberts Xintong Li Tzu-Heng Huang Dyah Adila Spencer Schoenberg Chengao Liu Lauren Pick Haotian Ma Aws Albarghouthi Frederic Sala UQCV 16 7 0 30 Aug 2022
XPASC: Measuring Generalization in Weak Supervision by Explainability and Association Luisa März Ehsaneddin Asgari Fabienne Braune Franziska Zimmermann Benjamin Roth 8 0 0 03 Jun 2022
Automatic Synthesis of Diverse Weak Supervision Sources for Behavior Analysis Albert Tseng Jennifer J. Sun Yisong Yue 29 9 0 30 Nov 2021