# Deep learning

## Papers overview

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2019

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2019

- ACM Comput. Surv.
- 2019

With the growing volume of online information, recommender systems have been an effective strategy to overcome informationâ€¦Â (More)

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2018

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2018

- IEEE Computational Intelligence Magazine
- 2018

Deep learning methods employ multiple processing layers to learn hierarchical representations of data, and have produced state-ofâ€¦Â (More)

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2018

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2018

- IEEE Transactions on Visualization and Computerâ€¦
- 2018

While deep learning models have achieved state-of-the-art accuracies for many prediction tasks, understanding these modelsâ€¦Â (More)

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2018

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2018

- Digital Signal Processing
- 2018

This paper provides an entry point to the problem of interpreting a deep neural network model and explaining its predictions. Itâ€¦Â (More)

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2017

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2017

- Medical Image Analysis
- 2017

Deep learning algorithms, in particular convolutional networks, have rapidly become a methodology of choice for analyzing medicalâ€¦Â (More)

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2017

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2017

- ArXiv
- 2017

Deep reinforcement learning is poised to revolutionise the field of AI and represents a step towards building autonomous systemsâ€¦Â (More)

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2017

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2017

- ArXiv
- 2017

Image semantic segmentation is more and more being of interest for computer vision and machine learning researchers. Manyâ€¦Â (More)

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2017

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2017

- ArXiv
- 2017

Multi-task learning (MTL) has led to successes in many applications of machine learning, from natural language processing andâ€¦Â (More)

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2017

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2017

- Journal of Computational Chemistry
- 2017

The rise and fall of artificial neural networks is well documented in the scientific literature of both computer science andâ€¦Â (More)

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2017

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2017

- Neurocomputing
- 2017

Since the proposal of a fast learning algorithm for deep beli ef networks in 2006, the deep learning techniques have drawn everâ€¦Â (More)

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