2 papers
cs.IR2026
Relevance-Based Embeddings: Lightweight Candidate Retrieval via Heavy-Ranker Calls
Kirill Shevkunov, Andrey Ploskonosov, Liudmila Prokhorenkova
In many machine learning applications, the most relevant items for a query should be efficiently retrieved. The relevance function is usually an expensive similarity model, making…
cs.LG2026
Cluster Attention for Graph Machine Learning
Oleg Platonov, Liudmila Prokhorenkova
Message Passing Neural Networks have recently become the most popular approach to graph machine learning tasks; however, their receptive field is limited by the number of message p…