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2012.06046
Cited By
Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling
11 December 2020
Benedikt Boecking
W. Neiswanger
Eric P. Xing
A. Dubrawski
NoLa
OffRL
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Papers citing
"Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling"
47 / 47 papers shown
Title
ScriptoriumWS: A Code Generation Assistant for Weak Supervision
Tzu-Heng Huang
Catherine Cao
Spencer Schoenberg
Harit Vishwakarma
Nicholas Roberts
Frederic Sala
NoLa
142
5
0
17 Feb 2025
An Approach for Auto Generation of Labeling Functions for Software Engineering Chatbots
Ebube Alor
Ahmad Abdellatif
SayedHassan Khatoonabadi
Emad Shihab
40
0
0
09 Oct 2024
Interactive Machine Teaching by Labeling Rules and Instances
Giannis Karamanolakis
Daniel J. Hsu
Luis Gravano
38
0
0
08 Sep 2024
End User Authoring of Personalized Content Classifiers: Comparing Example Labeling, Rule Writing, and LLM Prompting
Leijie Wang
Kathryn Yurechko
Pranati Dani
Quan Ze Chen
Amy X. Zhang
50
3
0
05 Sep 2024
The ALCHEmist: Automated Labeling 500x CHEaper Than LLM Data Annotators
Tzu-Heng Huang
Catherine Cao
Vaishnavi Bhargava
Frederic Sala
33
3
0
25 Jun 2024
WeShap: Weak Supervision Source Evaluation with Shapley Values
Naiqing Guan
Nick Koudas
60
0
0
16 Jun 2024
Interactive Ontology Matching with Cost-Efficient Learning
Bin Cheng
Jonathan Fürst
Tobias Jacobs
Celia Garrido-Hidalgo
35
2
0
11 Apr 2024
FAIR: Filtering of Automatically Induced Rules
Divya J. Bajpai
Ayush Maheshwari
M. Hanawal
Ganesh Ramakrishnan
28
1
0
23 Feb 2024
ActiveDP: Bridging Active Learning and Data Programming
Naiqing Guan
Nick Koudas
VLM
33
1
0
08 Feb 2024
Fusing Conditional Submodular GAN and Programmatic Weak Supervision
Kumar Shubham
Pranav Sastry
AP Prathosh
27
1
0
16 Dec 2023
Adversarial Learning for Feature Shift Detection and Correction
Míriam Barrabés
D. M. Montserrat
Margarita Geleta
Xavier Giró-i-Nieto
A. Ioannidis
OOD
36
2
0
07 Dec 2023
Can Large Language Models Design Accurate Label Functions?
Naiqing Guan
Kaiwen Chen
Nick Koudas
ALM
25
7
0
01 Nov 2023
Weak Supervision for Label Efficient Visual Bug Detection
F. Rahman
19
2
0
20 Sep 2023
Explore, Establish, Exploit: Red Teaming Language Models from Scratch
Stephen Casper
Jason Lin
Joe Kwon
Gatlen Culp
Dylan Hadfield-Menell
AAML
8
83
0
15 Jun 2023
Making Binary Classification from Multiple Unlabeled Datasets Almost Free of Supervision
Yuhao Wu
Xiaobo Xia
Jun Yu
Bo Han
Gang Niu
Masashi Sugiyama
Tongliang Liu
14
3
0
12 Jun 2023
Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes
Simran Arora
Brandon Yang
Sabri Eyuboglu
A. Narayan
Andrew Hojel
Immanuel Trummer
Christopher Ré
SyDa
47
69
0
19 Apr 2023
Data-centric Artificial Intelligence: A Survey
Daochen Zha
Zaid Pervaiz Bhat
Kwei-Herng Lai
Fan Yang
Zhimeng Jiang
Shaochen Zhong
Xia Hu
27
192
0
17 Mar 2023
Optimising Human-Machine Collaboration for Efficient High-Precision Information Extraction from Text Documents
Bradley Butcher
Miri Zilka
Darren Cook
Jiri Hron
Adrian Weller
38
3
0
18 Feb 2023
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
Regularized Data Programming with Automated Bayesian Prior Selection
Jacqueline R. M. A. Maasch
Hao Zhang
Qian Yang
Fei Wang
Volodymyr Kuleshov
41
0
0
17 Oct 2022
Generalizing Bayesian Optimization with Decision-theoretic Entropies
W. Neiswanger
Lantao Yu
Shengjia Zhao
Chenlin Meng
Stefano Ermon
UQCV
45
11
0
04 Oct 2022
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
38
7
0
30 Aug 2022
Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks
Tilman Raukur
A. Ho
Stephen Casper
Dylan Hadfield-Menell
AAML
AI4CE
23
124
0
27 Jul 2022
Adaptive Multi-view Rule Discovery for Weakly-Supervised Compatible Products Prediction
Rongzhi Zhang
Rebecca West
Xiquan Cui
Chao Zhang
24
6
0
28 Jun 2022
Sparse Conditional Hidden Markov Model for Weakly Supervised Named Entity Recognition
Yinghao Li
Le Song
Chao Zhang
11
9
0
27 May 2022
Understanding Programmatic Weak Supervision via Source-aware Influence Function
Jieyu Zhang
Hong Wang
Cheng-Yu Hsieh
Alexander Ratner
TDI
40
9
0
25 May 2022
Automatic Rule Induction for Interpretable Semi-Supervised Learning
Reid Pryzant
Ziyi Yang
Yichong Xu
Chenguang Zhu
Michael Zeng
38
9
0
18 May 2022
Adversarial Training for High-Stakes Reliability
Daniel M. Ziegler
Seraphina Nix
Lawrence Chan
Tim Bauman
Peter Schmidt-Nielsen
...
Noa Nabeshima
Benjamin Weinstein-Raun
D. Haas
Buck Shlegeris
Nate Thomas
AAML
35
59
0
03 May 2022
ULF: Unsupervised Labeling Function Correction using Cross-Validation for Weak Supervision
Anastasiia Sedova
Benjamin Roth
23
0
0
14 Apr 2022
Label Augmentation with Reinforced Labeling for Weak Supervision
Gürkan Solmaz
Flavio Cirillo
Fabio Maresca
A. G. A. Kumar
OffRL
19
2
0
13 Apr 2022
Generative Modeling Helps Weak Supervision (and Vice Versa)
Benedikt Boecking
Nicholas Roberts
W. Neiswanger
Stefano Ermon
Frederic Sala
Artur Dubrawski
23
1
0
22 Mar 2022
PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning
Rongzhi Zhang
Yue Yu
Pranav Shetty
Le Song
Chao Zhang
27
23
0
18 Mar 2022
Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data Programming
Cheng-Yu Hsieh
Jieyu Zhang
Alexander Ratner
30
15
0
02 Mar 2022
A Survey on Programmatic Weak Supervision
Jieyu Zhang
Cheng-Yu Hsieh
Yue Yu
Chao Zhang
Alexander Ratner
24
91
0
11 Feb 2022
Weak Supervision for Affordable Modeling of Electrocardiogram Data
Mononito Goswami
Benedikt Boecking
A. Dubrawski
19
16
0
09 Jan 2022
AcTune: Uncertainty-aware Active Self-Training for Semi-Supervised Active Learning with Pretrained Language Models
Yue Yu
Lingkai Kong
Jieyu Zhang
Rongzhi Zhang
Chao Zhang
19
3
0
16 Dec 2021
Automatic Synthesis of Diverse Weak Supervision Sources for Behavior Analysis
Albert Tseng
Jennifer J. Sun
Yisong Yue
37
9
0
30 Nov 2021
DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples
Yi Xu
Jiandong Ding
Lu Zhang
Shuigeng Zhou
39
32
0
26 Oct 2021
WRENCH: A Comprehensive Benchmark for Weak Supervision
Jieyu Zhang
Yue Yu
Yinghao Li
Yujing Wang
Yaming Yang
Mao Yang
Alexander Ratner
22
110
0
23 Sep 2021
CHEF: A Cheap and Fast Pipeline for Iteratively Cleaning Label Uncertainties (Technical Report)
Yinjun Wu
James Weimer
S. Davidson
23
4
0
19 Jul 2021
Proceedings of the First Workshop on Weakly Supervised Learning (WeaSuL)
Michael A. Hedderich
Benjamin Roth
Katharina Kann
Barbara Plank
Alex Ratner
Dietrich Klakow
16
0
0
08 Jul 2021
Knowledge Modelling and Active Learning in Manufacturing
Jože M. Rožanec
I. Novalija
Patrik Zajec
K. Kenda
Dunja Mladenić
AI4CE
17
3
0
05 Jul 2021
End-to-End Weak Supervision
Salva Rühling Cachay
Benedikt Boecking
A. Dubrawski
NoLa
33
40
0
05 Jul 2021
TagRuler: Interactive Tool for Span-Level Data Programming by Demonstration
Dongjin Choi
Sara Evensen
Çağatay Demiralp
Estevam R. Hruschka
18
6
0
24 Jun 2021
Dependency Structure Misspecification in Multi-Source Weak Supervision Models
Salva Rühling Cachay
Benedikt Boecking
A. Dubrawski
18
8
0
18 Jun 2021
Active WeaSuL: Improving Weak Supervision with Active Learning
Samantha Biegel
Rafah El-Khatib
Luiz Otavio Vilas Boas Oliveira
M. Baak
N. Aben
15
20
0
30 Apr 2021
Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information
W. Neiswanger
Ke Alexander Wang
Stefano Ermon
MLAU
29
30
0
19 Apr 2021
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