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Snorkel DryBell: A Case Study in Deploying Weak Supervision at
  Industrial Scale

Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale

2 December 2018
Stephen H. Bach
Daniel Rodríguez
Yintao Liu
Chong Luo
Haidong Shao
Cassandra Xia
Souvik Sen
Alexander Ratner
Braden Hancock
H. Alborzi
Rahul Kuchhal
Christopher Ré
Rob Malkin
ArXivPDFHTML

Papers citing "Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale"

26 / 26 papers shown
Title
ScriptoriumWS: A Code Generation Assistant for Weak Supervision
ScriptoriumWS: A Code Generation Assistant for Weak Supervision
Tzu-Heng Huang
Catherine Cao
Spencer Schoenberg
Harit Vishwakarma
Nicholas Roberts
Frederic Sala
NoLa
134
5
0
17 Feb 2025
WeShap: Weak Supervision Source Evaluation with Shapley Values
WeShap: Weak Supervision Source Evaluation with Shapley Values
Naiqing Guan
Nick Koudas
50
0
0
16 Jun 2024
An Adaptive Method for Weak Supervision with Drifting Data
An Adaptive Method for Weak Supervision with Drifting Data
Alessio Mazzetto
Reza Esfandiarpoor
E. Upfal
Stephen H. Bach
Stephen H. Bach
65
1
0
02 Jun 2023
Going beyond research datasets: Novel intent discovery in the industry
  setting
Going beyond research datasets: Novel intent discovery in the industry setting
Aleksandra Chrabrowa
Tsimur Hadeliya
D. Kajtoch
Robert Mroczkowski
Piotr Rybak
8
2
0
09 May 2023
Weakly Supervised Label Learning Flows
Weakly Supervised Label Learning Flows
You Lu
Chidubem Arachie
Bert Huang
20
0
0
19 Feb 2023
Label-Efficient Interactive Time-Series Anomaly Detection
Label-Efficient Interactive Time-Series Anomaly Detection
Hongmei Guo
Yujing Wang
Jieyu Zhang
Zhe-Min Lin
Yu Tong
Lei Yang
Luoxing Xiong
Congrui Huang
AI4TS
27
1
0
30 Dec 2022
Losses over Labels: Weakly Supervised Learning via Direct Loss
  Construction
Losses over Labels: Weakly Supervised Learning via Direct Loss Construction
Dylan Sam
J. Zico Kolter
NoLa
OffRL
37
13
0
13 Dec 2022
Regularized Data Programming with Automated Bayesian Prior Selection
Regularized Data Programming with Automated Bayesian Prior Selection
Jacqueline R. M. A. Maasch
Hao Zhang
Qian Yang
Fei Wang
Volodymyr Kuleshov
34
0
0
17 Oct 2022
AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100
  Labels
AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels
Nicholas Roberts
Xintong Li
Tzu-Heng Huang
Dyah Adila
Spencer Schoenberg
Chengao Liu
Lauren Pick
Haotian Ma
Aws Albarghouthi
Frederic Sala
UQCV
22
7
0
30 Aug 2022
Weak Supervision in Analysis of News: Application to Economic Policy Uncertainty
Paul Trust
A. Zahran
R. Minghim
6
0
0
10 Aug 2022
Learning Hyper Label Model for Programmatic Weak Supervision
Learning Hyper Label Model for Programmatic Weak Supervision
Renzhi Wu
Sheng Chen
Jieyu Zhang
Xu Chu
20
16
0
27 Jul 2022
Language Models in the Loop: Incorporating Prompting into Weak
  Supervision
Language Models in the Loop: Incorporating Prompting into Weak Supervision
Ryan Smith
Jason Alan Fries
Braden Hancock
Stephen H. Bach
47
53
0
04 May 2022
A Survey on Programmatic Weak Supervision
A Survey on Programmatic Weak Supervision
Jieyu Zhang
Cheng-Yu Hsieh
Yue Yu
Chao Zhang
Alexander Ratner
24
91
0
11 Feb 2022
Data Consistency for Weakly Supervised Learning
Data Consistency for Weakly Supervised Learning
Chidubem Arachie
Bert Huang
NoLa
22
2
0
08 Feb 2022
Universalizing Weak Supervision
Universalizing Weak Supervision
Changho Shin
Winfred Li
Harit Vishwakarma
Nicholas Roberts
Frederic Sala
NoLa
19
30
0
07 Dec 2021
Creating Training Sets via Weak Indirect Supervision
Creating Training Sets via Weak Indirect Supervision
Jieyu Zhang
Bohan Wang
Xiangchen Song
Yujing Wang
Yaming Yang
Jing Bai
Alexander Ratner
OffRL
51
17
0
07 Oct 2021
Learning to Robustly Aggregate Labeling Functions for Semi-supervised
  Data Programming
Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming
Ayush Maheshwari
Krishnateja Killamsetty
Ganesh Ramakrishnan
Rishabh K. Iyer
Marina Danilevsky
Lucian Popa
30
16
0
23 Sep 2021
CHEF: A Cheap and Fast Pipeline for Iteratively Cleaning Label
  Uncertainties (Technical Report)
CHEF: A Cheap and Fast Pipeline for Iteratively Cleaning Label Uncertainties (Technical Report)
Yinjun Wu
James Weimer
S. Davidson
10
4
0
19 Jul 2021
End-to-End Weak Supervision
End-to-End Weak Supervision
Salva Rühling Cachay
Benedikt Boecking
A. Dubrawski
NoLa
25
40
0
05 Jul 2021
Active WeaSuL: Improving Weak Supervision with Active Learning
Active WeaSuL: Improving Weak Supervision with Active Learning
Samantha Biegel
Rafah El-Khatib
Luiz Otavio Vilas Boas Oliveira
M. Baak
N. Aben
13
20
0
30 Apr 2021
Interactive Weak Supervision: Learning Useful Heuristics for Data
  Labeling
Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling
Benedikt Boecking
W. Neiswanger
Eric P. Xing
A. Dubrawski
NoLa
OffRL
13
68
0
11 Dec 2020
Constrained Labeling for Weakly Supervised Learning
Constrained Labeling for Weakly Supervised Learning
Chidubem Arachie
Bert Huang
15
18
0
15 Sep 2020
Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods
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
20
111
0
27 Feb 2020
Multi-Resolution Weak Supervision for Sequential Data
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
6
28
0
21 Oct 2019
Slice-based Learning: A Programming Model for Residual Learning in
  Critical Data Slices
Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices
V. Chen
Sen Wu
Zhenzhen Weng
Alexander Ratner
Christopher Ré
11
56
0
13 Sep 2019
Almawave-SLU: A new dataset for SLU in Italian
Almawave-SLU: A new dataset for SLU in Italian
Valentina Bellomaria
Giuseppe Castellucci
Andrea Favalli
Raniero Romagnoli
11
29
0
17 Jul 2019
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