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

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

23 September 2021

Ayush Maheshwari

Krishnateja Killamsetty

Ganesh Ramakrishnan

Rishabh K. Iyer

Marina Danilevsky

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

6 / 6 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 88 0 0 09 Feb 2025
UDAAN: Machine Learning based Post-Editing tool for Document Translation Ayush Maheshwari A. Ravindran Venkatapathy Subramanian Ganesh Ramakrishnan 18 7 0 03 Mar 2022
A Gradient-based Bilevel Optimization Approach for Tuning Hyperparameters in Machine Learning Ankur Sinha Tanmay Khandait R. Mohanty 35 16 0 21 Jul 2020
Bilevel Programming for Hyperparameter Optimization and Meta-Learning Luca Franceschi P. Frasconi Saverio Salzo Riccardo Grazzi Massimiliano Pontil 99 715 0 13 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 281 11,677 0 09 Mar 2017
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 244 1,275 0 06 Mar 2017