36 citations · 76 across the 13 of their papers we have counts for
Showing 2018Show all
2 papers · 1 filter
cs.LG2018★ 7 cited
Clustering-Oriented Representation Learning with Attractive-Repulsive Loss
Kian Kenyon-Dean, Andre Cianflone, Lucas Page-Caccia +3
The standard loss function used to train neural network classifiers, categorical cross-entropy (CCE), seeks to maximize accuracy on the training data; building useful representatio…
cs.CL2018
Resolving Event Coreference with Supervised Representation Learning and Clustering-Oriented Regularization
Kian Kenyon-Dean, Jackie Chi Kit Cheung, Doina Precup
We present an approach to event coreference resolution by developing a general framework for clustering that uses supervised representation learning. We propose a neural network ar…