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Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions
Semi-Supervised Recursive Autoencoders Predicting Sentiment Distributions
2015/6/12
We introduce a novel machine learning framework based on recursive autoencoders for sentence-level prediction of sentiment label distributions. Our method learns vector space representations for multi...
Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection
Dynamic Pooling Unfolding Recursive Autoencoders Paraphrase Detection
2015/6/12
Paraphrase detection is the task of examining two sentences and determining whether they have the same meaning. In order to obtain high accuracy on this task, thorough syntactic and semantic analysis ...
FEATURE DESCRIPTOR BY CONVOLUTION AND POOLING AUTOENCODERS
Image Matching Representation Learning Autoencoder Pooling Learning Descriptor Descriptor Evaluation
2015/4/1
In this paper we present several descriptors for feature-based matching based on autoencoders, and we evaluate the performance of these descriptors. In a training phase, we learn autoencoders from ima...
Speech Feature Denoising and Dereverberation via Deep Autoencoders for Noisy Reverberant Speech Recognition
robust speech recognition feature denoising denoising autoencoder deep neural network
2014/11/27
Denoising autoencoders (DAs) have shown success in generating robust features for images, but there has been limited work in applying DAs for speech. In this paper we present a deep denoising autoenco...
Speech Feature Denoising and Dereverberation via Deep Autoencoders for Noisy Reverberant Speech Recognition
denoising autoencoder deep neural network
2015/3/9
Speech Feature Denoising and Dereverberation via Deep Autoencoders for Noisy Reverberant Speech Recognition.
Recursive Autoencoders for ITG-based Translation
Recursive Autoencoders ITG-based Translation
2015/1/24
Recursive Autoencoders for ITG-based Translation.