206 citations · 347 across the 17 of their papers we have counts for
3 papers · 1 filter
Deep Indexed Active Learning for Matching Heterogeneous Entity Representations
Arjit Jain, Sunita Sarawagi, Prithviraj Sen
Given two large lists of records, the task in entity resolution (ER) is to find the pairs from the Cartesian product of the lists that correspond to the same real world entity. Typ…
A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching
Venkata Vamsikrishna Meduri, Lucian Popa, Prithviraj Sen +1
Entity Matching (EM) is a core data cleaning task, aiming to identify different mentions of the same real-world entity. Active learning is one way to address the challenge of scarc…
On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML
Matthias Boehm, Berthold Reinwald, Dylan Hutchison +2
Many large-scale machine learning (ML) systems allow specifying custom ML algorithms by means of linear algebra programs, and then automatically generate efficient execution plans.…