Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore a conference talk on a novel multilabel classification framework for approximate nearest neighbor (ANN) search. Delve into how space partitioning trees can be interpreted as multilabel classifiers, and learn about the potential of using supervised classifiers like random forests as index structures for ANN search. Discover the implications of this new approach for improving ANN search performance and opening up new research directions in this established algorithmic problem. Gain insights from Ville Hyvönen's presentation, based on joint work with Elias Jääsaari and Professor Teemu Roos, which was featured at the Neural Information Processing Systems (NeurIPS) 2022 conference.