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1706.04599
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On Calibration of Modern Neural Networks

v1v2 (latest)

On Calibration of Modern Neural Networks

International Conference on Machine Learning (ICML), 2017

14 June 2017

Kilian Q. Weinberger

ArXiv (abs)PDF HTML

Papers citing "On Calibration of Modern Neural Networks"

11 / 3,761 papers shown

Temporal Stability in Predictive Process Monitoring

Temporal Stability in Predictive Process Monitoring

158

59

0

12 Dec 2017

Noisy Natural Gradient as Variational Inference

Noisy Natural Gradient as Variational Inference

Roger C. Grosse

257

219

0

06 Dec 2017

Training Confidence-calibrated Classifiers for Detecting
Out-of-Distribution Samples

Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples

496

922

0

26 Nov 2017

Adversarial Phenomenon in the Eyes of Bayesian Deep Learning

Adversarial Phenomenon in the Eyes of Bayesian Deep Learning

Maria-Irina Nicolae

117

41

0

22 Nov 2017

Predict Responsibly: Improving Fairness and Accuracy by Learning to
Defer

Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer

397

258

0

17 Nov 2017

Implicit Weight Uncertainty in Neural Networks

Implicit Weight Uncertainty in Neural Networks

Matthew C. H. Lee

203

96

0

03 Nov 2017

Distance-based Confidence Score for Neural Network Classifiers

Distance-based Confidence Score for Neural Network Classifiers

Amit Mandelbaum

189

116

0

28 Sep 2017

On Fairness and Calibration

On Fairness and Calibration

Manish Raghavan

Jon M. Kleinberg

Kilian Q. Weinberger

406

951

0

06 Sep 2017

Enhancing The Reliability of Out-of-distribution Image Detection in
Neural Networks

Enhancing The Reliability of Out-of-distribution Image Detection in Neural NetworksInternational Conference on Learning Representations (ICLR), 2017

1.1K

2,310

0

08 Jun 2017

Discriminative k-shot learning using probabilistic models

Discriminative k-shot learning using probabilistic models

Mateo Rojas-Carulla

Bernhard Schölkopf

302

71

0

01 Jun 2017

Simple and Scalable Predictive Uncertainty Estimation using Deep
Ensembles

Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles

Balaji Lakshminarayanan

Alexander Pritzel

Charles Blundell

1.4K

6,770

0

05 Dec 2016

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