AINeutralarXiv – CS AI · 18h ago6/10
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Discovering Data Structures: Nearest Neighbor Search and Beyond
Researchers propose an end-to-end machine learning framework that discovers optimal data structures from scratch, with applications to nearest neighbor search and stream frequency estimation. The framework learns algorithms like binary search, interpolation search, k-d trees, and locality-sensitive hashing variants without explicit initialization, demonstrating AI's capability to reverse-engineer classical computer science solutions.