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Learning to Robustly Aggregate Labeling Functions for Semi-supervised
  Data Programming
v1v2 (latest)

Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming

Findings (Findings), 2021
23 September 2021
Ayush Maheshwari
Krishnateja Killamsetty
Ganesh Ramakrishnan
Rishabh K. Iyer
Marina Danilevsky
Yatin Nandwani
ArXiv (abs)PDFHTML

Papers citing "Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming"

11 / 11 papers shown
Title
ARISE: Iterative Rule Induction and Synthetic Data Generation for Text Classification
ARISE: Iterative Rule Induction and Synthetic Data Generation for Text ClassificationNorth American Chapter of the Association for Computational Linguistics (NAACL), 2025
Y. Meena
Vaibhav Singh
Ayush Maheshwari
Amrith Krishna
Ganesh Ramakrishnan
AI4TS
828
1
0
09 Feb 2025
FAIR: Filtering of Automatically Induced Rules
FAIR: Filtering of Automatically Induced Rules
Divya J. Bajpai
Ayush Maheshwari
M. Hanawal
Ganesh Ramakrishnan
174
1
0
23 Feb 2024
STENCIL: Submodular Mutual Information Based Weak Supervision for
  Cold-Start Active Learning
STENCIL: Submodular Mutual Information Based Weak Supervision for Cold-Start Active Learning
Nathan Beck
Adithya Iyer
Rishabh K. Iyer
177
1
0
21 Feb 2024
TEXTRON: Weakly Supervised Multilingual Text Detection through Data
  Programming
TEXTRON: Weakly Supervised Multilingual Text Detection through Data Programming
Dhruv Kudale
Badri Vishal Kasuba
Venkatapathy Subramanian
P. Chaudhuri
Ganesh Ramakrishnan
198
3
0
15 Feb 2024
INSITE: labelling medical images using submodular functions and
  semi-supervised data programming
INSITE: labelling medical images using submodular functions and semi-supervised data programmingIEEE International Symposium on Biomedical Imaging (ISBI), 2024
Akshat Gautam
Anurag Shandilya
Akshit Srivastava
Venkatapathy Subramanian
Ganesh Ramakrishnan
Kshitij S. Jadhav
114
1
0
11 Feb 2024
Fusing Conditional Submodular GAN and Programmatic Weak Supervision
Fusing Conditional Submodular GAN and Programmatic Weak SupervisionAAAI Conference on Artificial Intelligence (AAAI), 2023
Kumar Shubham
Pranav Sastry
AP Prathosh
300
3
0
16 Dec 2023
EIGEN: Expert-Informed Joint Learning Aggregation for High-Fidelity
  Information Extraction from Document Images
EIGEN: Expert-Informed Joint Learning Aggregation for High-Fidelity Information Extraction from Document Images
A. Singh
Venkatapathy Subramanian
Ayush Maheshwari
Pradeep Narayan
D. P. Shetty
Ganesh Ramakrishnan
104
3
0
23 Nov 2023
PIEClass: Weakly-Supervised Text Classification with Prompting and
  Noise-Robust Iterative Ensemble Training
PIEClass: Weakly-Supervised Text Classification with Prompting and Noise-Robust Iterative Ensemble TrainingConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Yunyi Zhang
Minhao Jiang
Yu Meng
Yu Zhang
Jiawei Han
NoLa
151
17
0
23 May 2023
Automatic Rule Induction for Interpretable Semi-Supervised Learning
Automatic Rule Induction for Interpretable Semi-Supervised LearningConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Reid Pryzant
Ziyi Yang
Yichong Xu
Chenguang Zhu
Michael Zeng
233
10
0
18 May 2022
UDAAN: Machine Learning based Post-Editing tool for Document Translation
UDAAN: Machine Learning based Post-Editing tool for Document Translation
Ayush Maheshwari
A. Ravindran
Venkatapathy Subramanian
Ganesh Ramakrishnan
131
8
0
03 Mar 2022
Adaptive Mixing of Auxiliary Losses in Supervised Learning
Adaptive Mixing of Auxiliary Losses in Supervised LearningAAAI Conference on Artificial Intelligence (AAAI), 2022
D. Sivasubramanian
Ayush Maheshwari
Pradeep Shenoy
A. Prathosh
Ganesh Ramakrishnan
322
7
0
07 Feb 2022
1