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Nautilus: An Optimized System for Deep Transfer Learning over Evolving Training Datasets

Summary: Frames DTL adaptation with frozen pre-trained layers as a multi-query optimization problem and introduces two optimizations to share computations across model selections on evolving labeled data. Implemented in Nautilus, it yields up to 5x speedup over naive re-training on benchmark workloads. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6298
Venue
SIGMOD
Year
2022
Pagerank
4.6871575e-05
Overall Rank
7,656 | 46.74%
DOI
10.1145/3514221.3517846

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