Leveraging Instance Features for Label Aggregation in Programmatic Weak
Supervision

Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision

6 October 2022

Alexander Ratner

Papers citing "Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision"

9 / 9 papers shown

Title
Binary Classification with Positive Labeling Sources Jieyu Zhang Yujing Wang Yaming Yang Yang Luo Alexander Ratner 49 5 0 02 Aug 2022
A Survey on Programmatic Weak Supervision Jieyu Zhang Cheng-Yu Hsieh Yue Yu Chao Zhang Alexander Ratner 98 93 0 11 Feb 2022
Creating Training Sets via Weak Indirect Supervision Jieyu Zhang Bohan Wang Xiangchen Song Yujing Wang Yaming Yang Jing Bai Alexander Ratner OffRL 96 17 0 07 Oct 2021
WRENCH: A Comprehensive Benchmark for Weak Supervision Jieyu Zhang Yue Yu Yinghao Li Yujing Wang Yaming Yang Mao Yang Alexander Ratner 68 113 0 23 Sep 2021
End-to-End Weak Supervision Salva Rühling Cachay Benedikt Boecking A. Dubrawski NoLa 66 41 0 05 Jul 2021
Learning from Multiple Noisy Partial Labelers Peilin Yu Tiffany Ding Stephen H. Bach NoLa 48 22 0 08 Jun 2021
Denoising Multi-Source Weak Supervision for Neural Text Classification Wendi Ren Yinghao Li Hanting Su David Kartchner Cassie S. Mitchell Chao Zhang NoLa 89 70 0 09 Oct 2020
Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods Daniel Y. Fu Mayee F. Chen Frederic Sala Sarah Hooper Kayvon Fatahalian Christopher Ré OffRL 87 115 0 27 Feb 2020
Training Complex Models with Multi-Task Weak Supervision Alexander Ratner Braden Hancock Jared A. Dunnmon Frederic Sala Shreyash Pandey Christopher Ré 48 212 0 05 Oct 2018