Who Cited It

What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?

2017 · arXiv (Cornell University) · 2,537 citations · 3 from inside this corpus

Alex Kendall, Yarin Gal

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? (2017)What Uncertainties Do We Need…Bayesian Learning for Neural Networks (1996)Bayesian Learning for Neural …An Introduction to Variational Methods for Graphical Models (1999)An Introduction to Variationa…A Practical Bayesian Framework for Backpropagation Networks (1992)A Practical Bayesian Framewor…Multi-Scale Context Aggregation by Dilated Convolutions (2015)Multi-Scale Context Aggregati…A survey on deep learning in medical image analysis (2017)A survey on deep learning in …A review of uncertainty quantification in deep learning: Techniques, applications and cha… (2021)A review of uncertainty quant…A State-of-the-Art Survey on Deep Learning Theory and Architectures (2019)A State-of-the-Art Survey on …
7 of 7 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
this paper works it cites works citing it node size = global citations · hover for the full title

What this paper cites, inside the corpus

PaperYearCited
Bayesian Learning for Neural Networks19964,397
An Introduction to Variational Methods for Graphical Models19993,793
A Practical Bayesian Framework for Backpropagation Networks19922,962
Multi-Scale Context Aggregation by Dilated Convolutions20151,573

What cites it, inside the corpus

PaperYearCited
A survey on deep learning in medical image analysis201715,110
A review of uncertainty quantification in deep learning: Techniques, applications and cha…20212,644
A State-of-the-Art Survey on Deep Learning Theory and Architectures20191,619

Links

DOI · Open access copy · OpenAlex record

Topics

Domain Adaptation and Few-Shot LearningComputer Science
Adversarial Robustness in Machine LearningComputer Science
Machine Learning and Data ClassificationComputer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports2 author record(s) attached.
  • supports30 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:49+00:00.

sha256 a2172c1bbe00c44b…