research
∙
05/07/2023
Scaling Graph-Based ANNS Algorithms to Billion-Size Datasets: A Comparative Analysis
Algorithms for approximate nearest-neighbor search (ANNS) have been the ...
share
research
∙
10/22/2022
OOD-DiskANN: Efficient and Scalable Graph ANNS for Out-of-Distribution Queries
State-of-the-art algorithms for Approximate Nearest Neighbor Search (ANN...
research
∙
05/08/2022
Results of the NeurIPS'21 Challenge on Billion-Scale Approximate Nearest Neighbor Search
Despite the broad range of algorithms for Approximate Nearest Neighbor S...
research
∙
05/20/2021
FreshDiskANN: A Fast and Accurate Graph-Based ANN Index for Streaming Similarity Search
Approximate nearest neighbor search (ANNS) is a fundamental building blo...
research
∙
02/28/2020
DROCC: Deep Robust One-Class Classification
Classical approaches for one-class problems such as one-class SVM (Schol...
research
∙
02/27/2020
