Search and information retrieval
Project
Synthesis and Machine Learning for Heterogeneous Extraction
In this project, we present a way to combine techniques from the program synthesis and machine learning communities to extract structured information from heterogeneous data. Such problems arise in several situations such as extracting attributes…
Group
Shanghai AI/ML Group
The Shanghai AI/ML Group from MSRA Shanghai focuses on research areas related to machine learning and its application. For machine learning research, we are interested to fundamental deep learning techniques including neural network architecture design,…
Publication
Recommendations as Treatments
Video
Research talk: The science behind semantic search: How AI from Microsoft Bing is powering Azure Cognitive Search
Azure Cognitive Search is a cloud search service that gives developers APIs and tools to build rich search experiences over private, heterogeneous content in web, mobile, and enterprise applications. As part of our AI at…
Video
Research talk: Learning and pretraining strategies for dense retrieval in search and beyond
In this talk, we’ll quickly go through our recent observations and findings with dense retrieval. First, we’ll recap the standard setup and training strategies for dense retrieval models in search. We’ll then share our recent…
