-
Feature Representation in Convolutional Neural Networks
Convolutional Neural Networks (CNNs) are powerful models that achieve im...
07/08/2015 ∙ by Ben Athiwaratkun, et al. ∙
0
∙
share
read it
-
Multimodal Word Distributions
Word embeddings provide point representations of words containing useful...
04/27/2017 ∙ by Ben Athiwaratkun, et al. ∙
0
∙
share
read it
-
Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification
In recent years deep neural networks have achieved great success in sent...
06/06/2016 ∙ by Xilun Chen, et al. ∙
0
∙
share
read it
-
Hierarchical Density Order Embeddings
By representing words with probability densities rather than point vecto...
04/26/2018 ∙ by Ben Athiwaratkun, et al. ∙
0
∙
share
read it
-
Improving Consistency-Based Semi-Supervised Learning with Weight Averaging
Recent advances in deep unsupervised learning have renewed interest in s...
06/14/2018 ∙ by Ben Athiwaratkun, et al. ∙
0
∙
share
read it
-
Probabilistic FastText for Multi-Sense Word Embeddings
We introduce Probabilistic FastText, a new model for word embeddings tha...
06/07/2018 ∙ by Ben Athiwaratkun, et al. ∙
0
∙
share
read it
