Learning from Imperfect Annotations

Learning from Imperfect Annotations

7 April 2020

Emmanouil Antonios Platanios

Maruan Al-Shedivat

Tom Michael Mitchell

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Papers citing "Learning from Imperfect Annotations"

14 / 14 papers shown

Title
On the Convergence of Adam and Beyond Sashank J. Reddi Satyen Kale Surinder Kumar 104 2,505 0 19 Apr 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 76 146 0 02 Dec 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,175 0 11 Oct 2018
Learning Policy Representations in Multiagent Systems Aditya Grover Maruan Al-Shedivat Jayesh K. Gupta Yuri Burda Harrison Edwards AI4CE 73 125 0 17 Jun 2018
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction Leland McInnes John Healy James Melville 195 9,473 0 09 Feb 2018
Learning From Noisy Singly-labeled Data A. Khetan Zachary Chase Lipton Anima Anandkumar NoLa 60 162 0 13 Dec 2017
Snorkel: Rapid Training Data Creation with Weak Supervision Alexander Ratner Stephen H. Bach Henry R. Ehrenberg Jason Alan Fries Sen Wu Christopher Ré 81 1,030 0 28 Nov 2017
Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach Emmanouil Antonios Platanios Hoifung Poon Tom Michael Mitchell Eric Horvitz 54 59 0 19 May 2017
Crowdsourcing Ground Truth for Medical Relation Extraction Anca Dumitrache Lora Aroyo Chris Welty 52 65 0 09 Jan 2017
Large-Margin Softmax Loss for Convolutional Neural Networks Weiyang Liu Yandong Wen Zhiding Yu Meng Yang CVBM 81 1,456 0 07 Dec 2016
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Zhiwen Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 908 6,796 0 26 Sep 2016
Regularized Minimax Conditional Entropy for Crowdsourcing Dengyong Zhou Qiang Liu John C. Platt Christopher Meek Nihar B. Shah NoLa 54 71 0 25 Mar 2015
Ranking and combining multiple predictors without labeled data Fabio Parisi Francesco Strino B. Nadler Y. Kluger 149 135 0 13 Mar 2013
How To Grade a Test Without Knowing the Answers --- A Bayesian Graphical Model for Adaptive Crowdsourcing and Aptitude Testing Yoram Bachrach T. Graepel T. Minka J. Guiver 142 210 0 27 Jun 2012