16 citations · 25 across the 8 of their papers we have counts for
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cs.CL2018
Meta-Embedding as Auxiliary Task Regularization
James O' Neill, Danushka Bollegala
Word embeddings have been shown to benefit from ensambling several word embedding sources, often carried out using straightforward mathematical operations over the set of word vect…
stat.ML2018★ 16 cited
Siamese Capsule Networks
James O' Neill
Capsule Networks have shown encouraging results on \textit{defacto} benchmark computer vision datasets such as MNIST, CIFAR and smallNORB. Although, they are yet to be tested on ta…
stat.ML2018★ 1 cited
Dropping Networks for Transfer Learning
James O' Neill, Danushka Bollegala
Many tasks in natural language understanding require learning relationships between two sequences for various tasks such as natural language inference, paraphrasing and entailment.…