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)
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Authors
- 1. Sahaana Suri
- 2. Raghuveer Chanda
- 3. Neslihan Bulut
- 4. Pradyumna Narayana
- 5. Yemao Zeng
- 6. Peter Bailis
- 7. Sugato Basu
- 8. Girija Narlikar
- 9. Christopher Ré
- 10. Abishek Sethi
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,942 | Ember: No-Code Context Enrichment via Similarity-Based Keyless Joins | 2022 | VLDB | 6.6114622e-05 |
| 6,134 | Finding Label and Model Errors in Perception Data With Learned Observation Assertions | 2022 | SIGMOD | 5.1943414e-05 |
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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