371 citations · 2k across the 57 of their papers we have counts for
8 papers · 1 filter
Adaptive DCTNet for Audio Signal Classification
Yin Xian, Yunchen Pu, Zhe Gan +2
In this paper, we investigate DCTNet for audio signal classification. Its output feature is related to Cohen's class of time-frequency distributions. We introduce the use of adapti…
Unsupervised Learning with Truncated Gaussian Graphical Models
Qinliang Su, Xuejun Liao, Chunyuan Li +2
Gaussian graphical models (GGMs) are widely used for statistical modeling, because of ease of inference and the ubiquitous use of the normal distribution in practical approximation…
Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling
Zhe Gan, Chunyuan Li, Changyou Chen +3
Recurrent neural networks (RNNs) have shown promising performance for language modeling. However, traditional training of RNNs using back-propagation through time often suffers fro…
Semantic Compositional Networks for Visual Captioning
Zhe Gan, Chuang Gan, Xiaodong He +5
A Semantic Compositional Network (SCN) is developed for image captioning, in which semantic concepts (i.e., tags) are detected from the image, and the probability of each tag is us…
Learning Generic Sentence Representations Using Convolutional Neural Networks
Zhe Gan, Yunchen Pu, Ricardo Henao +3
We propose a new encoder-decoder approach to learn distributed sentence representations that are applicable to multiple purposes. The model is learned by using a convolutional neur…
Adaptive Feature Abstraction for Translating Video to Text
Yunchen Pu, Martin Renqiang Min, Zhe Gan +1
Previous models for video captioning often use the output from a specific layer of a Convolutional Neural Network (CNN) as video features. However, the variable context-dependent s…