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WRENCH: A Comprehensive Benchmark for Weak Supervision
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WRENCH: A Comprehensive Benchmark for Weak Supervision

Jieyu Zhang
Yue Yu
Yinghao Li
Yujing Wang
Yaming Yang
Mao Yang
Alexander Ratner
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Papers citing "WRENCH: A Comprehensive Benchmark for Weak Supervision"

13 / 63 papers shown
Title
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
Bo Han
Quanming Yao
Xingrui Yu
Gang Niu
Miao Xu
Weihua Hu
Ivor Tsang
Masashi Sugiyama
NoLa
118
2,078
0
18 Apr 2018
Generating Multi-Agent Trajectories using Programmatic Weak Supervision
Generating Multi-Agent Trajectories using Programmatic Weak Supervision
Eric Zhan
Stephan Zheng
Yisong Yue
Long Sha
P. Lucey
80
90
0
20 Mar 2018
Snorkel: Rapid Training Data Creation with Weak Supervision
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
Inferring Generative Model Structure with Static Analysis
Inferring Generative Model Structure with Static Analysis
P. Varma
Bryan D. He
Payal Bajaj
Imon Banerjee
Nishith Khandwala
D. Rubin
Christopher Ré
55
58
0
07 Sep 2017
PPR-FCN: Weakly Supervised Visual Relation Detection via Parallel Pairwise R-FCN
PPR-FCN: Weakly Supervised Visual Relation Detection via Parallel Pairwise R-FCN
Hanwang Zhang
Zawlin Kyaw
Jinyang Yu
Shih-Fu Chang
58
141
0
07 Aug 2017
Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach
Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach
Liyuan Liu
Xiang Ren
Qi Zhu
Shi Zhi
Huan Gui
Heng Ji
Jiawei Han
80
81
0
01 Jul 2017
Learning with Noise: Enhance Distantly Supervised Relation Extraction with Dynamic Transition Matrix
Learning with Noise: Enhance Distantly Supervised Relation Extraction with Dynamic Transition Matrix
Bingfeng Luo
Yansong Feng
Zheng Wang
Zhanxing Zhu
Songfang Huang
Rui Yan
Dongyan Zhao
67
86
0
11 May 2017
SwellShark: A Generative Model for Biomedical Named Entity Recognition without Labeled Data
SwellShark: A Generative Model for Biomedical Named Entity Recognition without Labeled Data
Jason Alan Fries
Sen Wu
Alex Ratner
Christopher Ré
MedIm
78
95
0
20 Apr 2017
Learning the Structure of Generative Models without Labeled Data
Learning the Structure of Generative Models without Labeled Data
Stephen H. Bach
Bryan D. He
Alexander Ratner
Christopher Ré
65
166
0
02 Mar 2017
Data Programming: Creating Large Training Sets, Quickly
Data Programming: Creating Large Training Sets, Quickly
Alexander Ratner
Christopher De Sa
Sen Wu
Daniel Selsam
Christopher Ré
197
718
0
25 May 2016
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF
Xuezhe Ma
Eduard H. Hovy
106
2,655
0
04 Mar 2016
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
Ranjay Krishna
Yuke Zhu
Oliver Groth
Justin Johnson
Kenji Hata
...
Yannis Kalantidis
Li Li
David A. Shamma
Michael S. Bernstein
Fei-Fei Li
225
5,761
0
23 Feb 2016
Character-level Convolutional Networks for Text Classification
Character-level Convolutional Networks for Text Classification
Xiang Zhang
Jiaqi Zhao
Yann LeCun
268
6,130
0
04 Sep 2015