Snorkel: Rapid Training Data Creation with Weak Supervision

28 November 2017

Alexander Ratner

Papers citing "Snorkel: Rapid Training Data Creation with Weak Supervision"

23 / 23 papers shown

Title
A Weak Supervision Learning Approach Towards an Equitable Mobility Estimation Theophilus Aidoo Till Koebe Akansh Maurya Hewan Shrestha Ingmar Weber 98 0 0 07 May 2025
RBT4DNN: Requirements-based Testing of Neural Networks Nusrat Jahan Mozumder Felipe Toledo Swaroopa Dola Matthew B. Dwyer AAML 70 1 0 03 Apr 2025
ScriptoriumWS: A Code Generation Assistant for Weak Supervision Tzu-Heng Huang Catherine Cao Spencer Schoenberg Harit Vishwakarma Nicholas Roberts Frederic Sala NoLa 167 5 0 17 Feb 2025
ARISE: Iterative Rule Induction and Synthetic Data Generation for Text Classification Y. Meena Vaibhav Singh Ayush Maheshwari Amrith Krishna Ganesh Ramakrishnan AI4TS 306 0 0 09 Feb 2025
An Adaptive Method for Weak Supervision with Drifting Data Alessio Mazzetto Reza Esfandiarpoor E. Upfal Stephen H. Bach Stephen H. Bach 86 1 0 02 Jun 2023
Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes Simran Arora Brandon Yang Sabri Eyuboglu A. Narayan Andrew Hojel Immanuel Trummer Christopher Ré SyDa 67 75 0 19 Apr 2023
PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning Rongzhi Zhang Yue Yu Pranav Shetty Le Song Chao Zhang 58 24 0 18 Mar 2022
Multi-Resolution Weak Supervision for Sequential Data Frederic Sala P. Varma Jason Alan Fries Daniel Y. Fu Shiori Sagawa ... A. Ramamoorthy K. Xiao Kayvon Fatahalian J. Priest Christopher Ré NoLa 82 28 0 21 Oct 2019
Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale Stephen H. Bach Daniel Rodríguez Yintao Liu Chong Luo Haidong Shao ... Braden Hancock H. Alborzi Rahul Kuchhal Christopher Ré Rob Malkin 36 146 0 02 Dec 2018
Training Complex Models with Multi-Task Weak Supervision Alexander Ratner Braden Hancock Jared A. Dunnmon Frederic Sala Shreyash Pandey Christopher Ré 22 209 0 05 Oct 2018
Training Classifiers with Natural Language Explanations Braden Hancock P. Varma Stephanie Wang Martin Bringmann Percy Liang Christopher Ré FAtt 37 152 0 10 May 2018
Inferring Generative Model Structure with Static Analysis P. Varma Bryan D. He Payal Bajaj Imon Banerjee Nishith Khandwala D. Rubin Christopher Ré 25 58 0 07 Sep 2017
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era Chen Sun Abhinav Shrivastava Saurabh Singh Abhinav Gupta VLM 91 2,378 0 10 Jul 2017
Learning the Structure of Generative Models without Labeled Data Stephen H. Bach Bryan D. He Alexander Ratner Christopher Ré 33 166 0 02 Mar 2017
Label-Free Supervision of Neural Networks with Physics and Domain Knowledge Russell Stewart Stefano Ermon 50 343 0 18 Sep 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 306 18,300 0 27 May 2016
Data Programming: Creating Large Training Sets, Quickly Alexander Ratner Christopher De Sa Sen Wu Daniel Selsam Christopher Ré 103 713 0 25 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.2K 192,638 0 10 Dec 2015
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 318 9,418 0 28 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 629 149,474 0 22 Dec 2014
Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing Yuchen Zhang Xi Chen Dengyong Zhou Michael I. Jordan FedML 40 386 0 15 Jun 2014
Ranking and combining multiple predictors without labeled data Fabio Parisi Francesco Strino B. Nadler Y. Kluger 46 135 0 13 Mar 2013
A Bayesian Approach to Discovering Truth from Conflicting Sources for Data Integration Bo Zhao Benjamin I. P. Rubinstein J. Gemmell Jiawei Han HILM 56 346 0 01 Mar 2012