Search Results for author:
Found 5 papers, 2 papers with code
OmniSearchSage: Multi-Task Multi-Entity Embeddings for Pinterest Search
In this paper, we present OmniSearchSage, a versatile and scalable system for understanding search queries, pins, and products for Pinterest search.
Exploring intra-task relations to improve meta-learning algorithms
This requires training the ML model on a variety of tasks with good quality data.
Detecting anxiety from short clips of free-form speech
Barriers to accessing mental health assessments including cost and stigma continues to be an impediment in mental health diagnosis and treatment.
Exploring Graph Based Approaches for Author Name Disambiguation
In many applications, such as scientific literature management, researcher search, social network analysis and etc, Name Disambiguation (aiming at disambiguating WhoIsWho) has been a challenging problem.
Modeling User Behavior With Interaction Networks for Spam Detection
Users' complex behavior can be well represented by a heterogeneous graph rich with node and edge attributes.
