Learning from Multiple Noisy Partial Labelers

8 June 2021

Papers citing "Learning from Multiple Noisy Partial Labelers"

7 / 7 papers shown

Title
Multi-annotator Deep Learning: A Probabilistic Framework for Classification M. Herde Denis Huseljic Bernhard Sick 28 9 0 05 Apr 2023
Losses over Labels: Weakly Supervised Learning via Direct Loss Construction Dylan Sam J. Zico Kolter NoLa OffRL 37 13 0 13 Dec 2022
Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision Jieyu Zhang Linxin Song Alexander Ratner 56 8 0 06 Oct 2022
Learning Hyper Label Model for Programmatic Weak Supervision Renzhi Wu Sheng Chen Jieyu Zhang Xu Chu 26 16 0 27 Jul 2022
Language Models in the Loop: Incorporating Prompting into Weak Supervision Ryan Smith Jason Alan Fries Braden Hancock Stephen H. Bach 50 53 0 04 May 2022
A Survey on Programmatic Weak Supervision Jieyu Zhang Cheng-Yu Hsieh Yue Yu Chao Zhang Alexander Ratner 24 91 0 11 Feb 2022
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 326 4,223 0 23 Aug 2019