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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.
Highly Cited
2019
Highly Cited
2019
Deep learning frameworks have often focused on either usability or speed, but not both. PyTorch is a machine learning library… 
Highly Cited
2018
Highly Cited
2018
Recent work has demonstrated that deep neural networks are vulnerable to adversarial examples---inputs that are almost… 
Highly Cited
2017
Highly Cited
2017
We present an interpretation of Inception modules in convolutional neural networks as being an intermediate step in-between… 
Highly Cited
2016
Highly Cited
2016
We propose a conceptually simple and lightweight framework for deep reinforcement learning that uses asynchronous gradient… 
Highly Cited
2016
Highly Cited
2016
The popular Q-learning algorithm is known to overestimate action values under certain conditions. It was not previously known… 
Highly Cited
2016
Highly Cited
2016
Machine learning techniques based on neural networks are achieving remarkable results in a wide variety of domains. Often, the… 
Highly Cited
2015
Highly Cited
2015
Predicting face attributes in the wild is challenging due to complex face variations. We propose a novel deep learning framework… 
Highly Cited
2013
Highly Cited
2013
We present the first deep learning model to successfully learn control policies directly from high-dimensional sensory input… 
Highly Cited
2011
Highly Cited
2011
Deep networks have been successfully applied to unsupervised feature learning for single modalities (e.g., text, images or audio… 
Highly Cited
2010
Highly Cited
2010
Much recent research has been devoted to learning algorithms for deep architectures such as Deep Belief Networks and stacks of…