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Alsatian: Optimizing Model Search for Deep Transfer Learning

Summary: Alsatian exploits shared model blocks, caching, and search-ordering to accelerate transfer-learning model search. This cache-aware, block-sharing approach reduces repeated inference across thousands of candidate models, yielding up to 14x speedups on CV/NLP benchmarks. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
7202
Venue
SIGMOD
Year
2025
Pagerank
4.1945683e-05
Overall Rank
10,469 | 27.17%
DOI
10.1145/3725264

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