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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
6700
Venue
SIGMOD
Year
2023
Pagerank
5.4053095e-05
Overall Rank
8,594 | 41.04%
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
8,945 Generation of Training Examples for Tabular Natural Language Inference 2023 SIGMOD 5.3480421e-05
10,681 User-Centric Property Graph Repairs 2025 SIGMOD 5.093636e-05
11,069 Versatile Property Graph Transformations 2025 VLDB 5.093636e-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
112 HoloClean: Holistic Data Repairs with Probabilistic Inference 2017 VLDB 0.00032801121
159 CORDS: Automatic Discovery of Correlations and Soft Functional Dependencies 2004 SIGMOD 0.00028129426
494 Dependencies Revisited for Improving Data Quality 2008 PODS 0.00017526549
582 ActiveClean: Interactive Data Cleaning For Statistical Modeling 2016 VLDB 0.00016148948
714 Guided Data Repair 2011 VLDB 0.00014662041
946 HoloDetect: Few-Shot Learning for Error Detection 2019 SIGMOD 0.00013054126
1,094 Snuba: Automating Weak Supervision to Label Training Data 2019 VLDB 0.00012214617
1,351 Detecting Data Errors: Where are we and what needs to be done? 2016 VLDB 0.00011064851
1,399 Computing Optimal Repairs for Functional Dependencies 2018 PODS 0.00010893312
1,506 Query Steering for Interactive Data Exploration 2013 CIDR 0.00010545273
1,955 Discovery of Approximate (and Exact) Denial Constraints 2020 VLDB 9.4166032e-05
2,123 Discovery of Genuine Functional Dependencies from Relational Data with Missing Values 2018 VLDB 9.1372798e-05
2,142 Messing Up with BART: Error Generation for Evaluating Data-Cleaning Algorithms 2016 VLDB 9.0975882e-05
2,297 Raha: A Configuration-Free Error Detection System 2019 SIGMOD 8.7897221e-05
2,677 Explore-by-Example: An Automatic Query Steering Framework for Interactive Data Exploration 2014 SIGMOD 8.2682753e-05
2,685 Approximate Denial Constraints 2020 VLDB 8.2594662e-05
3,380 UGuide – User-Guided Discovery of FD-Detectable Errors 2017 SIGMOD 7.457539e-05
4,183 Scalable Discovery of Unique Column Combinations 2014 VLDB 6.8467773e-05
4,598 Temporal Rules Discovery for Web Data Cleaning 2016 VLDB 6.6127851e-05
9,680 HILDA'22: The SIGMOD 2022 Workshop on Human-in-the-Loop Data Analytics 2022 SIGMOD 5.235881e-05
9,832 The Data Interaction Game 2018 SIGMOD 5.2124469e-05
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