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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
13144
Venue
VLDB
Year
2023
Pagerank
4.5615358e-05
Overall Rank
8,183 | 43.13%
DOI
10.14778/3565816.3565831

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
10,479 Alsatian: Optimizing Model Search for Deep Transfer Learning 2025 SIGMOD 4.1905499e-05
10,666 LLMLog: Advanced Log Template Generation via LLM-driven Multi-Round Annotation 2025 VLDB 4.1905499e-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
192 HoloClean: Holistic Data Repairs with Probabilistic Inference 2017 VLDB 0.00035692958
252 Snorkel: Rapid Training Data Creation with Weak Supervision 2018 VLDB 0.00030532082
684 Cerebro: A Data System for Optimized Deep Learning Model Selection 2020 VLDB 0.00018152321
788 ActiveClean: Interactive Data Cleaning For Statistical Modeling 2016 VLDB 0.00016618698
1,354 Northstar: An Interactive Data Science System 2018 VLDB 0.00012424105
1,393 Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads 2018 VLDB 0.00012223372
1,534 Data Management in Machine Learning: Challenges, Techniques, and Systems 2017 SIGMOD 0.00011462072
2,759 Complaint-driven Training Data Debugging for Query 2.0 2020 SIGMOD 8.1646193e-05
2,871 Incremental and Approximate Inference for Faster Occlusion-based Deep CNN Explanations 2019 SIGMOD 7.9800983e-05
3,057 ZeroER: Entity Resolution using Zero Labeled Examples 2020 SIGMOD 7.6458287e-05
4,731 MLINSPECT: A Data Distribution Debugger for Machine Learning Pipelines 2021 SIGMOD 5.9558692e-05
6,225 Managing ML Pipelines: Feature Stores and the Coming Wave of Embedding Ecosystems 2021 VLDB 5.1425119e-05
9,115 Ease.ml in Action: Towards Multi-tenant Declarative Learning Services 2018 VLDB 4.3886513e-05
9,225 Towards an Optimized GROUP BY Abstraction for Large-Scale Machine Learning 2021 VLDB 4.3656789e-05
9,226 Intermittent Human-in-the-Loop Model Selection using Cerebro: A Demonstration 2021 VLDB 4.3656789e-05
11,312 Screening Native ML Pipelines with “ArgusEyes” 2022 CIDR 4.1905499e-05
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