Corpus ID: 86522127

Uncertainty in Deep Learning

@inproceedings{Gal2016UncertaintyID,
  title={Uncertainty in Deep Learning},
  author={Y. Gal},
  year={2016}
}
  • Y. Gal
  • Published 2016
  • Computer Science
Deep learning has attracted tremendous attention from researchers in various fields of information engineering such as AI, computer vision, and language processing [Kalchbrenner and Blunsom, 2013; Krizhevsky et al., 2012; Mnih et al., 2013], but also from more traditional sciences such as physics, biology, and manufacturing [Anjos et al., 2015; Baldi et al., 2014; Bergmann et al., 2014]. Neural networks, image processing tools such as convolutional neural networks, sequence processing models… Expand
702 Citations
Benchmarks for Bayesian Deep Learning: Image Segmentation
  • Highly Influenced
  • PDF
Uncertainty estimation in deep learning with application to spoken language assessment
  • 12
  • Highly Influenced
  • PDF
DEEP ENSEMBLE BAYESIAN ACTIVE LEARNING: AD-
  • Highly Influenced
DEEP ENSEMBLE BAYESIAN ACTIVE LEARNING : ADRESSING
  • Highly Influenced
Novelty Detection in Convolutional Neural Networks Using Density Forests
  • 1
  • PDF
Deep Bayesian Active Learning with Image Data
  • 549
  • PDF
Uncertainty Quantification in Deep Residual Neural Networks
  • 1
  • Highly Influenced
  • PDF
Example weighting for deep representation learning
  • PDF
Deep Ensemble Bayesian Active Learning
  • 1
  • PDF
An Exploratory Analysis of Multi-Class Uncertainty Approximation in Bayesian Convolutional Neural Networks
  • 3
  • Highly Influenced
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 142 REFERENCES
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
  • 400
  • PDF
Dropout as a Bayesian Approximation : Insights and Applications
  • Yg, UK CAM.AC.
  • 2015
  • 76
  • PDF
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
  • 2,942
  • PDF
Deep Networks with Stochastic Depth
  • 989
  • PDF
Learning Multiple Layers of Features from Tiny Images
  • 11,387
  • PDF
Adaptive dropout for training deep neural networks
  • 239
  • PDF
Scaling learning algorithms towards AI
  • 1,013
  • PDF
On Fast Dropout and its Applicability to Recurrent Networks
  • 53
  • PDF
ImageNet classification with deep convolutional neural networks
  • 62,908
  • Highly Influential
  • PDF
RNNDROP: A novel dropout for RNNS in ASR
  • 78
  • PDF
...
1
2
3
4
5
...