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SHiFT: An Efficient, Flexible Search Engine for Transfer Learning

Summary: SHiFT: first downstream task-aware, flexible search engine over transfer-learning model repositories, exposing SHiFT-QL to express hybrid, task-specific model-selection criteria. Combines a cost-based optimizer and special incremental execution to evaluate queries efficiently for iterative ML workflows. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13331
Venue
VLDB
Year
2023
Pagerank
5.4587712e-05
Overall Rank
8,244 | 43.44%
DOI
10.14778/3565816.3565831

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{renggli_vldb23,
        title = {{SHiFT: An Efficient, Flexible Search Engine for Transfer Learning}},
        author = {Renggli, Cedric and Yao, Xiaozhe and Kolar, Luka and Rimanic, Luka and Klimovic, Ana and Zhang, Ce},
        journal = {PVLDB},
        series = {{VLDB} '23},
        volume = {16},
        number = {2},
        pages = {304--316},
        doi = {10.14778/3565816.3565831},
        url = {https://doi.org/10.14778/3565816.3565831},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
10,750 Alsatian: Optimizing Model Search for Deep Transfer Learning 2025 SIGMOD 5.093636e-05
10,909 LLMLog: Advanced Log Template Generation via LLM-driven Multi-Round Annotation 2025 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 16 of 16 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
205 Snorkel: Rapid Training Data Creation with Weak Supervision 2018 VLDB 0.00025235185
582 ActiveClean: Interactive Data Cleaning For Statistical Modeling 2016 VLDB 0.00016148948
1,157 Cerebro: A Data System for Optimized Deep Learning Model Selection 2020 VLDB 0.00011924049
1,250 Data Management in Machine Learning: Challenges, Techniques, and Systems 2017 SIGMOD 0.00011485301
1,392 Northstar: An Interactive Data Science System 2018 VLDB 0.00010936065
2,029 Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads 2018 VLDB 9.2843642e-05
2,290 ZeroER: Entity Resolution using Zero Labeled Examples 2020 SIGMOD 8.799251e-05
2,584 Complaint-driven Training Data Debugging for Query 2.0 2020 SIGMOD 8.3783546e-05
2,987 Incremental and Approximate Inference for Faster Occlusion-based Deep CNN Explanations 2019 SIGMOD 7.8907997e-05
4,518 MLINSPECT: A Data Distribution Debugger for Machine Learning Pipelines 2021 SIGMOD 6.6474737e-05
5,925 Managing ML Pipelines: Feature Stores and the Coming Wave of Embedding Ecosystems 2021 VLDB 6.0397888e-05
9,265 Ease.ml in Action: Towards Multi-tenant Declarative Learning Services 2018 VLDB 5.2965435e-05
9,371 Towards an Optimized GROUP BY Abstraction for Large-Scale Machine Learning 2021 VLDB 5.275595e-05
9,372 Intermittent Human-in-the-Loop Model Selection using Cerebro: A Demonstration 2021 VLDB 5.275595e-05
11,509 Screening Native ML Pipelines with “ArgusEyes” 2022 CIDR 5.093636e-05
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