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Understanding Programmatic Weak Supervision via Source-aware Influence
  Function

Understanding Programmatic Weak Supervision via Source-aware Influence Function

25 May 2022
Jieyu Zhang
Hong Wang
Cheng-Yu Hsieh
Alexander Ratner
    TDI
ArXivPDFHTML

Papers citing "Understanding Programmatic Weak Supervision via Source-aware Influence Function"

5 / 5 papers shown
Title
Theoretical Analysis of Weak-to-Strong Generalization
Theoretical Analysis of Weak-to-Strong Generalization
Hunter Lang
David Sontag
Aravindan Vijayaraghavan
19
19
0
25 May 2024
Leveraging Instance Features for Label Aggregation in Programmatic Weak
  Supervision
Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision
Jieyu Zhang
Linxin Song
Alexander Ratner
47
8
0
06 Oct 2022
XPASC: Measuring Generalization in Weak Supervision by Explainability
  and Association
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
Creating Training Sets via Weak Indirect Supervision
Creating Training Sets via Weak Indirect Supervision
Jieyu Zhang
Bohan Wang
Xiangchen Song
Yujing Wang
Yaming Yang
Jing Bai
Alexander Ratner
OffRL
36
15
0
07 Oct 2021
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
225
3,658
0
28 Feb 2017
1