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Training Complex Models with Multi-Task Weak Supervision
v1v2 (latest)

Training Complex Models with Multi-Task Weak Supervision

5 October 2018
Alexander Ratner
Braden Hancock
Jared A. Dunnmon
Frederic Sala
Shreyash Pandey
Christopher Ré
ArXiv (abs)PDFHTML

Papers citing "Training Complex Models with Multi-Task Weak Supervision"

50 / 120 papers shown
Title
Label Propagation with Weak Supervision
Label Propagation with Weak Supervision
Rattana Pukdee
Dylan Sam
Maria-Florina Balcan
Pradeep Ravikumar
87
9
0
07 Oct 2022
Adaptive Ranking-based Sample Selection for Weakly Supervised
  Class-imbalanced Text Classification
Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text Classification
Linxin Song
Jieyu Zhang
Tianxiang Yang
M. Goto
66
4
0
06 Oct 2022
Leveraging Instance Features for Label Aggregation in Programmatic Weak
  Supervision
Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision
Jieyu Zhang
Linxin Song
Alexander Ratner
108
8
0
06 Oct 2022
Ask Me Anything: A simple strategy for prompting language models
Ask Me Anything: A simple strategy for prompting language models
Simran Arora
A. Narayan
Mayee F. Chen
Laurel J. Orr
Neel Guha
Kush S. Bhatia
Ines Chami
Frederic Sala
Christopher Ré
ReLMLRM
286
219
0
05 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
117
9
0
30 Aug 2022
Binary Classification with Positive Labeling Sources
Binary Classification with Positive Labeling Sources
Jieyu Zhang
Yujing Wang
Yaming Yang
Yang Luo
Alexander Ratner
64
5
0
02 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
112
17
0
27 Jul 2022
What's in the laundromat? Mapping and characterising offshore owned
  domestic property in London
What's in the laundromat? Mapping and characterising offshore owned domestic property in London
J. Bourne
Andrea Ingianni
Rex Mckenzie
41
1
0
22 Jul 2022
Integrated Weak Learning
Integrated Weak Learning
Peter Hayes
Mingtian Zhang
Raza Habib
Jordan Burgess
Emine Yilmaz
David Barber
89
1
0
19 Jun 2022
To Aggregate or Not? Learning with Separate Noisy Labels
To Aggregate or Not? Learning with Separate Noisy Labels
Jiaheng Wei
Zhaowei Zhu
Tianyi Luo
Ehsan Amid
Abhishek Kumar
Yang Liu
NoLa
77
40
0
14 Jun 2022
Training Subset Selection for Weak Supervision
Training Subset Selection for Weak Supervision
Hunter Lang
Aravindan Vijayaraghavan
David Sontag
NoLa
92
23
0
06 Jun 2022
XPASC: Measuring Generalization in Weak Supervision by Explainability
  and Association
XPASC: Measuring Generalization in Weak Supervision by Explainability and Association
Luisa März
Ehsaneddin Asgari
Fabienne Braune
Franziska Zimmermann
Benjamin Roth
31
0
0
03 Jun 2022
Sparse Conditional Hidden Markov Model for Weakly Supervised Named
  Entity Recognition
Sparse Conditional Hidden Markov Model for Weakly Supervised Named Entity Recognition
Yinghao Li
Le Song
Chao Zhang
51
12
0
27 May 2022
Understanding Programmatic Weak Supervision via Source-aware Influence
  Function
Understanding Programmatic Weak Supervision via Source-aware Influence Function
Jieyu Zhang
Hong Wang
Cheng-Yu Hsieh
Alexander Ratner
TDI
88
12
0
25 May 2022
Weak Supervision with Incremental Source Accuracy Estimation
Weak Supervision with Incremental Source Accuracy Estimation
R. Correro
8
0
0
11 May 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
112
56
0
04 May 2022
WeaNF: Weak Supervision with Normalizing Flows
WeaNF: Weak Supervision with Normalizing Flows
Andreas Stephan
Benjamin Roth
67
0
0
28 Apr 2022
ULF: Unsupervised Labeling Function Correction using Cross-Validation
  for Weak Supervision
ULF: Unsupervised Labeling Function Correction using Cross-Validation for Weak Supervision
Anastasiia Sedova
Benjamin Roth
74
1
0
14 Apr 2022
Label Augmentation with Reinforced Labeling for Weak Supervision
Label Augmentation with Reinforced Labeling for Weak Supervision
Gürkan Solmaz
Flavio Cirillo
Fabio Maresca
A. G. A. Kumar
OffRL
44
2
0
13 Apr 2022
Shoring Up the Foundations: Fusing Model Embeddings and Weak Supervision
Shoring Up the Foundations: Fusing Model Embeddings and Weak Supervision
Mayee F. Chen
Daniel Y. Fu
Dyah Adila
Michael Zhang
Frederic Sala
Kayvon Fatahalian
Christopher Ré
66
20
0
24 Mar 2022
Generative Modeling Helps Weak Supervision (and Vice Versa)
Generative Modeling Helps Weak Supervision (and Vice Versa)
Benedikt Boecking
Nicholas Roberts
Willie Neiswanger
Stefano Ermon
Frederic Sala
Artur Dubrawski
50
1
0
22 Mar 2022
Survey on Automated Short Answer Grading with Deep Learning: from Word
  Embeddings to Transformers
Survey on Automated Short Answer Grading with Deep Learning: from Word Embeddings to Transformers
Stefan Haller
Adina Aldea
C. Seifert
N. Strisciuglio
59
39
0
11 Mar 2022
Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data
  Programming
Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data Programming
Cheng-Yu Hsieh
Jieyu Zhang
Alexander Ratner
100
16
0
02 Mar 2022
A Survey on Programmatic Weak Supervision
A Survey on Programmatic Weak Supervision
Jieyu Zhang
Cheng-Yu Hsieh
Yue Yu
Chao Zhang
Alexander Ratner
112
93
0
11 Feb 2022
Data Consistency for Weakly Supervised Learning
Data Consistency for Weakly Supervised Learning
Chidubem Arachie
Bert Huang
NoLa
70
2
0
08 Feb 2022
A data-centric weak supervised learning for highway traffic incident
  detection
A data-centric weak supervised learning for highway traffic incident detection
Yixuan Sun
Tanwi Mallick
Prasanna Balaprakash
Jane Macfarlane
96
13
0
17 Dec 2021
Universalizing Weak Supervision
Universalizing Weak Supervision
Changho Shin
Winfred Li
Harit Vishwakarma
Nicholas Roberts
Frederic Sala
NoLa
69
31
0
07 Dec 2021
Automatic Synthesis of Diverse Weak Supervision Sources for Behavior
  Analysis
Automatic Synthesis of Diverse Weak Supervision Sources for Behavior Analysis
Albert Tseng
Jennifer J. Sun
Yisong Yue
108
10
0
30 Nov 2021
Customer Sentiment Analysis using Weak Supervision for Customer-Agent
  Chat
Customer Sentiment Analysis using Weak Supervision for Customer-Agent Chat
Navdeep Jain
AI4MH
41
7
0
29 Nov 2021
Improved Regularization and Robustness for Fine-tuning in Neural
  Networks
Improved Regularization and Robustness for Fine-tuning in Neural Networks
Dongyue Li
Hongyang R. Zhang
NoLa
95
56
0
08 Nov 2021
DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled
  Samples
DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples
Yi Xu
Jiandong Ding
Lu Zhang
Shuigeng Zhou
96
32
0
26 Oct 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
151
17
0
07 Oct 2021
WRENCH: A Comprehensive Benchmark for Weak Supervision
WRENCH: A Comprehensive Benchmark for Weak Supervision
Jieyu Zhang
Yue Yu
Yinghao Li
Yujing Wang
Yaming Yang
Mao Yang
Alexander Ratner
91
113
0
23 Sep 2021
Tab2Know: Building a Knowledge Base from Tables in Scientific Papers
Tab2Know: Building a Knowledge Base from Tables in Scientific Papers
B. Kruit
Hongyu Hè
Jacopo Urbani
LMTD
50
7
0
28 Jul 2021
Combining Probabilistic Logic and Deep Learning for Self-Supervised
  Learning
Combining Probabilistic Logic and Deep Learning for Self-Supervised Learning
Hoifung Poon
Hai Wang
Hunter Lang
SSL
91
2
0
27 Jul 2021
Proceedings of the First Workshop on Weakly Supervised Learning (WeaSuL)
Proceedings of the First Workshop on Weakly Supervised Learning (WeaSuL)
Michael A. Hedderich
Benjamin Roth
Katharina Kann
Barbara Plank
Alex Ratner
Dietrich Klakow
60
0
0
08 Jul 2021
End-to-End Weak Supervision
End-to-End Weak Supervision
Salva Rühling Cachay
Benedikt Boecking
A. Dubrawski
NoLa
72
41
0
05 Jul 2021
Dependency Structure Misspecification in Multi-Source Weak Supervision
  Models
Dependency Structure Misspecification in Multi-Source Weak Supervision Models
Salva Rühling Cachay
Benedikt Boecking
A. Dubrawski
65
8
0
18 Jun 2021
Learning from Multiple Noisy Partial Labelers
Learning from Multiple Noisy Partial Labelers
Peilin Yu
Tiffany Ding
Stephen H. Bach
NoLa
71
22
0
08 Jun 2021
Controllable Abstractive Dialogue Summarization with Sketch Supervision
Controllable Abstractive Dialogue Summarization with Sketch Supervision
Chien-Sheng Wu
Linqing Liu
Wenhao Liu
Pontus Stenetorp
Caiming Xiong
76
52
0
28 May 2021
BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised
  Named Entity Recognition
BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition
Yinghao Li
Pranav Shetty
Lu Liu
Chao Zhang
Le Song
NoLa
81
35
0
26 May 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
56
20
0
30 Apr 2021
Self-Training with Weak Supervision
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
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
86
10
0
03 Mar 2021
Self-supervised self-supervision by combining deep learning and
  probabilistic logic
Self-supervised self-supervision by combining deep learning and probabilistic logic
Hunter Lang
Hoifung Poon
SSL
101
13
0
23 Dec 2020
Interactive Weak Supervision: Learning Useful Heuristics for Data
  Labeling
Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling
Benedikt Boecking
Willie Neiswanger
Eric Xing
A. Dubrawski
NoLaOffRL
113
70
0
11 Dec 2020
Multiple Sclerosis Severity Classification From Clinical Text
Multiple Sclerosis Severity Classification From Clinical Text
Alister D Costa
Stefan Denkovski
Michal Malyska
S. Moon
Brandon Rufino
Zhen Yang
Taylor W. Killian
Marzyeh Ghassemi
68
12
0
29 Oct 2020
Improving Classification through Weak Supervision in Context-specific
  Conversational Agent Development for Teacher Education
Improving Classification through Weak Supervision in Context-specific Conversational Agent Development for Teacher Education
Debajyoti Datta
Maria Phillips
Jennifer L. Chiu
G. Watson
J. Bywater
Laura E. Barnes
Donald E. Brown
54
7
0
23 Oct 2020
Denoising Multi-Source Weak Supervision for Neural Text Classification
Denoising Multi-Source Weak Supervision for Neural Text Classification
Wendi Ren
Yinghao Li
Hanting Su
David Kartchner
Cassie S. Mitchell
Chao Zhang
NoLa
91
70
0
09 Oct 2020
Data Programming by Demonstration: A Framework for Interactively
  Learning Labeling Functions
Data Programming by Demonstration: A Framework for Interactively Learning Labeling Functions
Sara Evensen
Chang Ge
Dongjin Choi
cCaugatay Demiralp
96
8
0
03 Sep 2020
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