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Loss function

Known as: Zero-one loss, Loss, Risk function 
In mathematical optimization, statistics, decision theory and machine learning, a loss function or cost function is a function that maps an event or… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2020
Review
2020
With the widespread use of information technologies, information networks are becoming increasingly popular to capture complex… Expand
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Review
2019
Review
2019
Network embedding assigns nodes in a network to low-dimensional representations and effectively preserves the network structure… Expand
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Review
2018
Review
2018
Neural models have been employed in many Information Retrieval scenarios, including ad-hoc retrieval, recommender systems, multi… Expand
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Review
2018
Review
2018
We propose a novel monocular visual odometry (VO) system called UnDeepVO in this paper. UnDeepVO is able to estimate the 6-DoF… Expand
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Review
2018
Review
2018
Traditionally, analytical methods have been used to solve imaging problems such as image restoration, inpainting, and… Expand
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Review
2018
Review
2018
This letter reports on WaterGAN, a generative adversarial network (GAN) for generating realistic underwater images from in-air… Expand
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Review
2018
Review
2018
In the last few years, deep learning has led to very good performance on a variety of problems, such as visual recognition… Expand
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Review
2017
Review
2017
We note that common implementations of adaptive gradient algorithms, such as Adam, limit the potential benefit of weight decay… Expand
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Review
2016
Review
2016
Deep learning has emerged as a highly efficient technique in machine learning to perform text analytics, which includes text… Expand
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Highly Cited
2016
Highly Cited
2016
Person re-identification across cameras remains a very challenging problem, especially when there are no overlapping fields of… Expand
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