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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
Generic Vehicle Tracking Framework Capable of Handling Occlusions Based on Modified Mixture Particle Filter
Accurate and robust tracking of surrounding road participants plays an important role in autonomous driving. However, there is… 
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
Learning a Discriminative Distance Metric With Label Consistency for Scene Classification
To achieve high scene classification performance of high spatial resolution remote sensing images (HSR-RSIs), it is important to… 
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… 
2016
2016
Convolutional Neural Network를 통한 대규모 한글 데이터 학습
2016
2016
Hashtag Recommendation Using End-To-End Memory Networks with Hierarchical Attention
On microblogging services, people usually use hashtags to mark microblogs, which have a specific theme or content, making them… 
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… 
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…