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Deep learning

Known as: DL, Deep neural networks, Deep machine learning 
Deep learning (also known as deep structured learning, hierarchical learning or deep machine learning) is a branch of machine learning based on a set… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Enhance word representation for out-of-vocabulary on Ubuntu dialogue corpus
Ubuntu dialogue corpus is the largest public available dialogue corpus to make it feasible to build end-to-end deep neural… 
2017
2017
Safer Classification by Synthesis
The discriminative approach to classification using deep neural networks has become the de-facto standard in various fields… 
2017
2017
Cross-domain speech recognition using nonparallel corpora with cycle-consistent adversarial networks
Automatic speech recognition (ASR) systems often does not perform well when it is used in a different acoustic domain from the… 
2016
2016
Video Description Generation using Audio and Visual Cues
The recent advances in image captioning stimulate the research in generating natural language description for visual content… 
2014
2014
GMM-Free DNN Training
While deep neural networks (DNNs) have become the dominant acoustic model (AM) for speech recognition systems, they are still… 
2013
2013
Learning Semantic Representations for the Phrase Translation Model
This paper presents a novel semantic-based phrase translation model. A pair of source and target phrases are projected into… 
2012
2012
Inquiry learning is deep learning
Early years education at Scotch Oakburn College in Launceston, Tasmania, is inspired by the Reggio Emilia Education Project and… 
2012
2012
FACTORIZED DEEP NEURAL NETWORKS FOR ADAPTIVE SPEECH RECOGNITION
Recently, we have shown that context-dependent deep neural network hidden Markov models (CD-DNN-HMMs) can achieve very promising… 
2010
2010
Training Continuous Space Language Models: Some Practical Issues
Using multi-layer neural networks to estimate the probabilities of word sequences is a promising research area in statistical… 
1999
1999
The Role of Technology in Learning: Managing to Achieve a Vision
The paper explores the current context for uses of technology in education, including the nature of work, the capabilities… 
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