Semi-Supervised Data Programming with Subset Selection

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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"

15 / 15 papers shown

Title
ARISE: Iterative Rule Induction and Synthetic Data Generation for Text Classification Y. Meena Vaibhav Singh Ayush Maheshwari Amrith Krishna Ganesh Ramakrishnan AI4TS 433 0 0 09 Feb 2025
STENCIL: Submodular Mutual Information Based Weak Supervision for Cold-Start Active Learning Nathan Beck Adithya Iyer Rishabh K. Iyer 80 0 0 21 Feb 2024
Fusing Conditional Submodular GAN and Programmatic Weak Supervision Kumar Shubham Pranav Sastry AP Prathosh 77 2 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 47 3 0 23 Nov 2023
PIEClass: Weakly-Supervised Text Classification with Prompting and Noise-Robust Iterative Ensemble Training Yunyi Zhang Minhao Jiang Yu Meng Yu Zhang Jiawei Han NoLa 84 14 0 23 May 2023
INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Language Models H. S. V. N. S. K. Renduchintala Krishnateja Killamsetty S. Bhatia Milan Aggarwal Ganesh Ramakrishnan Rishabh K. Iyer Balaji Krishnamurthy AIFin 33 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 80 0 0 17 Oct 2022
Training Subset Selection for Weak Supervision Hunter Lang Aravindan Vijayaraghavan David Sontag NoLa 92 23 0 06 Jun 2022
Automatic Rule Induction for Interpretable Semi-Supervised Learning Reid Pryzant Ziyi Yang Yichong Xu Chenguang Zhu Michael Zeng 81 10 0 18 May 2022
ULF: Unsupervised Labeling Function Correction using Cross-Validation for Weak Supervision Anastasiia Sedova Benjamin Roth 74 1 0 14 Apr 2022
Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data Programming Cheng-Yu Hsieh Jieyu Zhang Alexander Ratner 100 16 0 02 Mar 2022
A Survey on Programmatic Weak Supervision Jieyu Zhang Cheng-Yu Hsieh Yue Yu Chao Zhang Alexander Ratner 110 93 0 11 Feb 2022
Adaptive Mixing of Auxiliary Losses in Supervised Learning D. Sivasubramanian Ayush Maheshwari Pradeep Shenoy A. Prathosh Ganesh Ramakrishnan 76 5 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 91 113 0 23 Sep 2021
WALNUT: A Benchmark on Semi-weakly Supervised Learning for Natural Language Understanding Guoqing Zheng Giannis Karamanolakis Kai Shu Ahmed Hassan Awadallah SSL 53 1 0 28 Aug 2021