With the surging popularity of approximate near-neighbor search (ANNS),
...
Lookup tables are a fundamental structure in many data processing and sy...
Efficient large-scale neural network training and inference on commodity...
We study the problem of vector set search with vector set
queries. This ...
Fast k-Nearest Neighbor search over real-valued vector spaces (KNN) is a...
We present principled approaches to train and deploy dyadic neural embed...
Many popular machine learning techniques in natural language processing ...
We study the problem of semantic matching in product search, that is, gi...