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2008.09887
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Semi-Supervised Data Programming with Subset Selection
22 August 2020
Ayush Maheshwari
Oishik Chatterjee
Krishnateja Killamsetty
Ganesh Ramakrishnan
Rishabh K. Iyer
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Papers citing
"Semi-Supervised Data Programming with Subset Selection"
16 / 16 papers shown
Bayesian Coreset Optimization for Personalized Federated Learning
International Conference on Learning Representations (ICLR), 2025
Prateek Chanda
Shrey Modi
Ganesh Ramakrishnan
FedML
157
2
0
03 Nov 2025
ARISE: Iterative Rule Induction and Synthetic Data Generation for Text Classification
North American Chapter of the Association for Computational Linguistics (NAACL), 2025
Y. Meena
Vaibhav Singh
Ayush Maheshwari
Amrith Krishna
Ganesh Ramakrishnan
AI4TS
925
1
0
09 Feb 2025
STENCIL: Submodular Mutual Information Based Weak Supervision for Cold-Start Active Learning
Nathan Beck
Adithya Iyer
Rishabh K. Iyer
240
1
0
21 Feb 2024
Fusing Conditional Submodular GAN and Programmatic Weak Supervision
AAAI Conference on Artificial Intelligence (AAAI), 2023
Kumar Shubham
Pranav Sastry
AP Prathosh
346
3
0
16 Dec 2023
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
130
3
0
23 Nov 2023
PIEClass: Weakly-Supervised Text Classification with Prompting and Noise-Robust Iterative Ensemble Training
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Yunyi Zhang
Minhao Jiang
Yu Meng
Yu Zhang
Jiawei Han
NoLa
221
18
0
23 May 2023
INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Language Models
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
H. S. V. N. S. K. Renduchintala
Krishnateja Killamsetty
S. Bhatia
Milan Aggarwal
Ganesh Ramakrishnan
Rishabh K. Iyer
Balaji Krishnamurthy
AIFin
136
4
0
11 May 2023
Regularized Data Programming with Automated Bayesian Prior Selection
Jacqueline R. M. A. Maasch
Hao Zhang
Qian Yang
Fei Wang
Volodymyr Kuleshov
285
0
0
17 Oct 2022
Training Subset Selection for Weak Supervision
Neural Information Processing Systems (NeurIPS), 2022
Hunter Lang
Aravindan Vijayaraghavan
David Sontag
NoLa
262
23
0
06 Jun 2022
Automatic Rule Induction for Interpretable Semi-Supervised Learning
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Reid Pryzant
Ziyi Yang
Yichong Xu
Chenguang Zhu
Michael Zeng
315
11
0
18 May 2022
ULF: Unsupervised Labeling Function Correction using Cross-Validation for Weak Supervision
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Anastasiia Sedova
Benjamin Roth
328
2
0
14 Apr 2022
Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data Programming
Proceedings of the VLDB Endowment (PVLDB), 2022
Cheng-Yu Hsieh
Jieyu Zhang
Alexander Ratner
357
16
0
02 Mar 2022
A Survey on Programmatic Weak Supervision
Jieyu Zhang
Cheng-Yu Hsieh
Yue Yu
Chao Zhang
Alexander Ratner
423
102
0
11 Feb 2022
Adaptive Mixing of Auxiliary Losses in Supervised Learning
AAAI Conference on Artificial Intelligence (AAAI), 2022
D. Sivasubramanian
Ayush Maheshwari
Pradeep Shenoy
A. Prathosh
Ganesh Ramakrishnan
405
7
0
07 Feb 2022
WRENCH: A Comprehensive Benchmark for Weak Supervision
Jieyu Zhang
Yue Yu
Yinghao Li
Yujing Wang
Yaming Yang
Mao Yang
Alexander Ratner
258
119
0
23 Sep 2021
WALNUT: A Benchmark on Semi-weakly Supervised Learning for Natural Language Understanding
North American Chapter of the Association for Computational Linguistics (NAACL), 2021
Guoqing Zheng
Giannis Karamanolakis
Kai Shu
Ahmed Hassan Awadallah
SSL
225
2
0
28 Aug 2021
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