Data Consistency for Weakly Supervised Learning

8 February 2022

Bert Huang

Papers citing "Data Consistency for Weakly Supervised Learning"

26 / 26 papers shown

Title
WRENCH: A Comprehensive Benchmark for Weak Supervision Jieyu Zhang Yue Yu Yinghao Li Yujing Wang Yaming Yang Mao Yang Alexander Ratner 68 113 0 23 Sep 2021
Self-Training with Weak Supervision Giannis Karamanolakis Subhabrata Mukherjee Guoqing Zheng Ahmed Hassan Awadallah NoLa 65 86 0 12 Apr 2021
Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments Latent Variable Estimation Mayee F. Chen Benjamin Cohen-Wang Stephen Mussmann Frederic Sala Christopher Ré 81 10 0 03 Mar 2021
Error-Bounded Correction of Noisy Labels Songzhu Zheng Pengxiang Wu A. Goswami Mayank Goswami Dimitris N. Metaxas Chao Chen NoLa 58 119 0 19 Nov 2020
Constrained Labeling for Weakly Supervised Learning Chidubem Arachie Bert Huang 77 17 0 15 Sep 2020
Train and You'll Miss It: Interactive Model Iteration with Weak Supervision and Pre-Trained Embeddings Mayee F. Chen Daniel Y. Fu Frederic Sala Sen Wu Ravi Teja Mullapudi Fait Poms Kayvon Fatahalian Christopher Ré 51 10 0 26 Jun 2020
Learning from Rules Generalizing Labeled Exemplars Abhijeet Awasthi Sabyasachi Ghosh Rasna Goyal Sunita Sarawagi 77 86 0 13 Apr 2020
Learning from Imperfect Annotations Emmanouil Antonios Platanios Maruan Al-Shedivat Eric Xing Tom Michael Mitchell 65 14 0 07 Apr 2020
Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods Daniel Y. Fu Mayee F. Chen Frederic Sala Sarah Hooper Kayvon Fatahalian Christopher Ré OffRL 90 117 0 27 Feb 2020
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
Training Complex Models with Multi-Task Weak Supervision Alexander Ratner Braden Hancock Jared A. Dunnmon Frederic Sala Shreyash Pandey Christopher Ré 53 213 0 05 Oct 2018
Adversarial Label Learning Chidubem Arachie Bert Huang 72 22 0 22 May 2018
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels Zhilu Zhang M. Sabuncu NoLa 85 2,610 0 20 May 2018
Joint Optimization Framework for Learning with Noisy Labels Daiki Tanaka Daiki Ikami T. Yamasaki Kiyoharu Aizawa NoLa 74 712 0 30 Mar 2018
Learning to Reweight Examples for Robust Deep Learning Mengye Ren Wenyuan Zeng Binh Yang R. Urtasun OOD NoLa 146 1,430 0 24 Mar 2018
Learning From Noisy Singly-labeled Data A. Khetan Zachary Chase Lipton Anima Anandkumar NoLa 57 162 0 13 Dec 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 285 8,920 0 25 Aug 2017
Clinical Tagging with Joint Probabilistic Models Yoni Halpern Steven Horng David Sontag 44 14 0 02 Aug 2016
Unsupervised Risk Estimation Using Only Conditional Independence Structure Jacob Steinhardt Percy Liang 87 34 0 16 Jun 2016
Data Programming: Creating Large Training Sets, Quickly Alexander Ratner Christopher De Sa Sen Wu Daniel Selsam Christopher Ré 197 718 0 25 May 2016
Harnessing Deep Neural Networks with Logic Rules Zhiting Hu Xuezhe Ma Zhengzhong Liu Eduard H. Hovy Eric Xing AI4CE NAI 71 614 0 21 Mar 2016
Unsupervised Ensemble Learning with Dependent Classifiers Ariel Jaffe Ethan Fetaya B. Nadler Tingting Jiang Y. Kluger UQCV 46 45 0 20 Oct 2015
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
Optimally Combining Classifiers Using Unlabeled Data Akshay Balsubramani Y. Freund 67 43 0 05 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,312 0 22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,479 0 04 Sep 2014