SOAR: Improved Indexing for Approximate Nearest Neighbor Search

no code implementations • NeurIPS 2023 • Philip Sun, David Simcha, Dave Dopson, Ruiqi Guo, Sanjiv Kumar

This paper introduces SOAR: Spilling with Orthogonality-Amplified Residuals, a novel data indexing technique for approximate nearest neighbor (ANN) search.

Automating Nearest Neighbor Search Configuration with Constrained Optimization

no code implementations • 4 Jan 2023 • Philip Sun, Ruiqi Guo, Sanjiv Kumar

The approximate nearest neighbor (ANN) search problem is fundamental to efficiently serving many real-world machine learning applications.

Quantization

Accelerating Large-Scale Inference with Anisotropic Vector Quantization

4 code implementations • ICML 2020 • Ruiqi Guo, Philip Sun, Erik Lindgren, Quan Geng, David Simcha, Felix Chern, Sanjiv Kumar

Based on the observation that for a given query, the database points that have the largest inner products are more relevant, we develop a family of anisotropic quantization loss functions.

Benchmarking Quantization