13 citations · 63 across the 14 of their papers we have counts for
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cs.NE2018
Exploiting Invertible Decoders for Unsupervised Sentence Representation Learning
Shuai Tang, Virginia R. de Sa
The encoder-decoder models for unsupervised sentence representation learning tend to discard the decoder after being trained on a large unlabelled corpus, since only the encoder is…
cs.NE2017
Speeding up Context-based Sentence Representation Learning with Non-autoregressive Convolutional Decoding
Shuai Tang, Hailin Jin, Chen Fang +2
Context plays an important role in human language understanding, thus it may also be useful for machines learning vector representations of language. In this paper, we explore an a…
cs.NE2015★ 7 cited
What Happened to My Dog in That Network: Unraveling Top-down Generators in Convolutional Neural Networks
Patrick W. Gallagher, Shuai Tang, Zhuowen Tu
Top-down information plays a central role in human perception, but plays relatively little role in many current state-of-the-art deep networks, such as Convolutional Neural Network…