44 citations · 46 across the 3 of their papers we have counts for
3 papers
cs.SI2023
A Potts model approach to unsupervised graph clustering with Graph Neural Networks
Co Tran, Mo Badawy, Tyler McDonnell
Numerous approaches have been explored for graph clustering, including those which optimize a global criteria such as modularity. More recently, Graph Neural Networks (GNNs), which…
cs.IR2018★ 2 cited
Mix and Match: Collaborative Expert-Crowd Judging for Building Test Collections Accurately and Affordably
Mucahid Kutlu, Tyler McDonnell, Aashish Sheshadri +2
Crowdsourcing offers an affordable and scalable means to collect relevance judgments for IR test collections. However, crowd assessors may show higher variance in judgment quality…
cs.IR2016★ 44 cited
Neural Information Retrieval: A Literature Review
Ye Zhang, Md Mustafizur Rahman, Alex Braylan +12
A recent "third wave" of Neural Network (NN) approaches now delivers state-of-the-art performance in many machine learning tasks, spanning speech recognition, computer vision, and…