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Leveraging Organizational Resources to Adapt Models to New Data Modalities

Summary: Leverages organizational resources (statistics, knowledge bases, and services) to build a common feature space linking new data modalities to existing ones. Enables cross-modal data curation and multimodal training at production scale, cutting adaptation time from months to days in Google tasks. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12406
Venue
VLDB
Year
2020
Pagerank
5.093636e-05
Overall Rank
11,824 | 18.88%
DOI
10.14778/3415478.3415559

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@article{suri_vldb20,
        title = {{Leveraging Organizational Resources to Adapt Models to New Data Modalities}},
        author = {Suri, Sahaana and Chanda, Raghuveer and Bulut, Neslihan and Narayana, Pradyumna and Zeng, Yemao and Bailis, Peter and Basu, Sugato and Narlikar, Girija and Ré, Christopher and Sethi, Abishek},
        journal = {PVLDB},
        series = {{VLDB} '20},
        volume = {13},
        number = {12},
        pages = {3396--3410},
        doi = {10.14778/3415478.3415559},
        url = {https://doi.org/10.14778/3415478.3415559},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
3,589 Ember: No-Code Context Enrichment via Similarity-Based Keyless Joins 2022 VLDB 7.2812353e-05
6,431 Finding Label and Model Errors in Perception Data With Learned Observation Assertions 2022 SIGMOD 5.8802622e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

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

Rank Cited Paper Year Venue Pagerank
205 Snorkel: Rapid Training Data Creation with Weak Supervision 2018 VLDB 0.00025235185
427 Big Data Integration 2013 VLDB 0.00018661543
699 Data Integration with Uncertainty 2007 VLDB 0.0001487423
1,094 Snuba: Automating Weak Supervision to Label Training Data 2019 VLDB 0.00012214617
1,783 Data Fusion – Resolving Data Conflicts for Integration 2009 VLDB 9.772895e-05
1,792 MacroBase: Prioritizing Attention in Fast Data 2017 SIGMOD 9.7436856e-05
2,161 DIFF: A Relational Interface for Large-Scale Data Explanation 2019 VLDB 9.0606664e-05
3,715 SLiMFast: Guaranteed Results for Data Fusion and Source Reliability 2017 SIGMOD 7.1763559e-05
4,100 Data Integration and Machine Learning: A Natural Synergy 2018 SIGMOD 6.9016092e-05
5,058 Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale 2019 SIGMOD 6.3815523e-05
6,143 ColumnML: Column-Store Machine Learning with On-The-Fly Data Transformation 2019 VLDB 5.9622615e-05
11,962 Prioritizing Attention in Fast Data: Principles and Promise 2017 CIDR 5.093636e-05
Previous Page 1 / 1 Next

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