6 citations · 10 across the 4 of their papers we have counts for
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cs.CL2016
phi-LSTM: A Phrase-based Hierarchical LSTM Model for Image Captioning
Ying Hua Tan, Chee Seng Chan
A picture is worth a thousand words. Not until recently, however, we noticed some success stories in understanding of visual scenes: a model that is able to detect/name objects, de…
cs.CL2016★ 6 cited
Variational Autoencoders for Semi-supervised Text Classification
Weidi Xu, Haoze Sun, Chao Deng +1
Although semi-supervised variational autoencoder (SemiVAE) works in image classification task, it fails in text classification task if using vanilla LSTM as its decoder. From a per…