12 citations · 18 across the 13 of their papers we have counts for
3 papers · 1 filter
Low-Precision Quantization for Efficient Nearest Neighbor Search
Anthony Ko, Iman Keivanloo, Vihan Lakshman +1
Fast k-Nearest Neighbor search over real-valued vector spaces (KNN) is an important algorithmic task for information retrieval and recommendation systems. We present a method for u…
Embracing Structure in Data for Billion-Scale Semantic Product Search
Vihan Lakshman, Choon Hui Teo, Xiaowen Chu +4
We present principled approaches to train and deploy dyadic neural embedding models at the billion scale, focusing our investigation on the application of semantic product search.…
A Fast Randomized Algorithm for Massive Text Normalization
Nan Jiang, Chen Luo, Vihan Lakshman +2
Many popular machine learning techniques in natural language processing and data mining rely heavily on high-quality text sources. However real-world text datasets contain a signif…