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Exploratory Training: When Annotators Learn About Data

Summary: Game-theoretic collaborative active learning where annotator beliefs evolve with data as users revise strategies. Theory and algorithms for joint user-system convergence to a shared target model, reducing interactions, validated on real-world studies. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h9c08ba71afc5c4e9
Venue
SIGMOD
Year
2023
Pagerank
5.2840289e-05
Overall Rank
8,756 | 41.13%
DOI
10.1145/3589280

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{shrestha_sigmod23,
        title = {{Exploratory Training: When Annotators Learn About Data}},
        author = {Shrestha, Rajesh and Habibelahian, Omeed and Termehchy, Arash and Papotti, Paolo},
        series = {{SIGMOD} '23},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3589280},
        url = {https://dl.acm.org/doi/10.1145/3589280},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
9,109 Generation of Training Examples for Tabular Natural Language Inference 2023 SIGMOD 5.2280464e-05
11,121 User-Centric Property Graph Repairs 2025 SIGMOD 4.9793485e-05
11,428 Versatile Property Graph Transformations 2025 VLDB 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 21 of 21 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
104 HoloClean: Holistic Data Repairs with Probabilistic Inference 2017 VLDB 0.00033690989
160 CORDS: Automatic Discovery of Correlations and Soft Functional Dependencies 2004 SIGMOD 0.00027837289
483 ActiveClean: Interactive Data Cleaning For Statistical Modeling 2016 VLDB 0.00017590977
500 Dependencies Revisited for Improving Data Quality 2008 PODS 0.00017280722
716 Guided Data Repair 2011 VLDB 0.00014553463
883 HoloDetect: Few-Shot Learning for Error Detection 2019 SIGMOD 0.00013268059
1,120 Snuba: Automating Weak Supervision to Label Training Data 2019 VLDB 0.00011946047
1,344 Detecting Data Errors: Where are we and what needs to be done? 2016 VLDB 0.00010956518
1,361 Computing Optimal Repairs for Functional Dependencies 2018 PODS 0.00010917917
1,537 Query Steering for Interactive Data Exploration 2013 CIDR 0.00010319063
1,805 Raha: A Configuration-Free Error Detection System 2019 SIGMOD 9.59842e-05
1,971 Discovery of Approximate (and Exact) Denial Constraints 2020 VLDB 9.2873596e-05
2,051 Messing Up with BART: Error Generation for Evaluating Data-Cleaning Algorithms 2016 VLDB 9.1199511e-05
2,125 Discovery of Genuine Functional Dependencies from Relational Data with Missing Values 2018 VLDB 9.0033119e-05
2,443 Approximate Denial Constraints 2020 VLDB 8.4586656e-05
2,648 Explore-by-Example: An Automatic Query Steering Framework for Interactive Data Exploration 2014 SIGMOD 8.1761271e-05
3,422 UGuide – User-Guided Discovery of FD-Detectable Errors 2017 SIGMOD 7.3138834e-05
4,226 Scalable Discovery of Unique Column Combinations 2014 VLDB 6.7183259e-05
4,650 Temporal Rules Discovery for Web Data Cleaning 2016 VLDB 6.4858157e-05
9,858 HILDA'22: The SIGMOD 2022 Workshop on Human-in-the-Loop Data Analytics 2022 SIGMOD 5.1184018e-05
10,016 The Data Interaction Game 2018 SIGMOD 5.0959403e-05
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