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Predictive Uncertainty Estimation via Prior Networks
v1v2v3v4 (latest)

Predictive Uncertainty Estimation via Prior Networks

Neural Information Processing Systems (NeurIPS), 2018
28 February 2018
A. Malinin
Mark Gales
    UDBDLEDLUQCVPER
ArXiv (abs)PDFHTML

Papers citing "Predictive Uncertainty Estimation via Prior Networks"

25 / 575 papers shown
Title
Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep
  Ensembles
Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep EnsemblesAAAI Conference on Artificial Intelligence (AAAI), 2019
Siddhartha Jain
Ge Liu
Jonas W. Mueller
David K Gifford
UQCV
142
66
0
18 Jun 2019
Analyzing the Role of Model Uncertainty for Electronic Health Records
Analyzing the Role of Model Uncertainty for Electronic Health RecordsACM Conference on Health, Inference, and Learning (CHIL), 2019
Michael W. Dusenberry
Dustin Tran
Edward Choi
Jonas Kemp
Jeremy Nixon
Ghassen Jerfel
Katherine A. Heller
Andrew M. Dai
246
119
0
10 Jun 2019
Attending to Discriminative Certainty for Domain Adaptation
Attending to Discriminative Certainty for Domain AdaptationComputer Vision and Pattern Recognition (CVPR), 2019
V. Kurmi
Shanu Kumar
Vinay P. Namboodiri
OOD
204
113
0
08 Jun 2019
Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer
  Vision
Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision
Fredrik K. Gustafsson
Martin Danelljan
Thomas B. Schon
OODUQCVBDL
268
322
0
04 Jun 2019
Bayesian Evidential Deep Learning with PAC Regularization
Bayesian Evidential Deep Learning with PAC Regularization
Manuel Haussmann
S. Gerwinn
M. Kandemir
UQCVEDLBDL
193
1
0
03 Jun 2019
Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty
  and Adversarial Robustness
Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial RobustnessNeural Information Processing Systems (NeurIPS), 2019
A. Malinin
Mark Gales
UQCVAAML
242
201
0
31 May 2019
Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections
Modeling Uncertainty by Learning a Hierarchy of Deep Neural ConnectionsNeural Information Processing Systems (NeurIPS), 2019
R. Y. Rohekar
Yaniv Gurwicz
Shami Nisimov
Gal Novik
BDLUQCV
221
13
0
30 May 2019
Efficient Neural Architecture Search via Proximal Iterations
Efficient Neural Architecture Search via Proximal IterationsAAAI Conference on Artificial Intelligence (AAAI), 2019
Quanming Yao
Ju Xu
Wei-Wei Tu
Zhanxing Zhu
324
108
0
30 May 2019
Training Data Subset Search with Ensemble Active Learning
Training Data Subset Search with Ensemble Active Learning
Kashyap Chitta
J. Álvarez
Elmar Haussmann
C. Farabet
179
13
0
29 May 2019
Accelerating Monte Carlo Bayesian Inference via Approximating Predictive
  Uncertainty over Simplex
Accelerating Monte Carlo Bayesian Inference via Approximating Predictive Uncertainty over Simplex
Yufei Cui
Wuguannan Yao
Qiao Li
Antoni B. Chan
Chun Jason Xue
80
4
0
29 May 2019
Hyperparameter-Free Out-of-Distribution Detection Using Softmax of
  Scaled Cosine Similarity
Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity
Engkarat Techapanurak
Masanori Suganuma
Takayuki Okatani
OODD
302
29
0
25 May 2019
Controlling Risk of Web Question Answering
Controlling Risk of Web Question AnsweringAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2019
Lixin Su
Jiafeng Guo
Yixing Fan
Yanyan Lan
Xueqi Cheng
163
9
0
24 May 2019
Ensemble Distribution Distillation
Ensemble Distribution DistillationInternational Conference on Learning Representations (ICLR), 2019
A. Malinin
Bruno Mlodozeniec
Mark Gales
UQCV
462
259
0
30 Apr 2019
Exploring Uncertainty Measures for Image-Caption Embedding-and-Retrieval
  Task
Exploring Uncertainty Measures for Image-Caption Embedding-and-Retrieval Task
Kenta Hama
Takashi Matsubara
K. Uehara
Jianfei Cai
BDLUQCV
143
6
0
09 Apr 2019
The Fishyscapes Benchmark: Measuring Blind Spots in Semantic
  Segmentation
The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation
Hermann Blum
Paul-Edouard Sarlin
Juan I. Nieto
Roland Siegwart
Cesar Cadena
UQCV
330
178
0
05 Apr 2019
Minimum Uncertainty Based Detection of Adversaries in Deep Neural
  Networks
Minimum Uncertainty Based Detection of Adversaries in Deep Neural Networks
Fatemeh Sheikholeslami
Swayambhoo Jain
G. Giannakis
AAML
180
25
0
05 Apr 2019
Combining Model and Parameter Uncertainty in Bayesian Neural Networks
Combining Model and Parameter Uncertainty in Bayesian Neural Networks
A. Hubin
G. Storvik
UQCVBDL
163
13
0
18 Mar 2019
Revisiting the Evaluation of Uncertainty Estimation and Its Application
  to Explore Model Complexity-Uncertainty Trade-Off
Revisiting the Evaluation of Uncertainty Estimation and Its Application to Explore Model Complexity-Uncertainty Trade-Off
Yukun Ding
Jinglan Liu
Jinjun Xiong
Yiyu Shi
123
14
0
05 Mar 2019
Predictive Uncertainty Quantification with Compound Density Networks
Predictive Uncertainty Quantification with Compound Density Networks
Agustinus Kristiadi
Sina Daubener
Asja Fischer
BDLUQCV
224
17
0
04 Feb 2019
Robustness to Out-of-Distribution Inputs via Task-Aware Generative
  Uncertainty
Robustness to Out-of-Distribution Inputs via Task-Aware Generative Uncertainty
R. McAllister
G. Kahn
Jeff Clune
Sergey Levine
UQCVOOD
107
40
0
27 Dec 2018
Deep Anomaly Detection with Outlier Exposure
Deep Anomaly Detection with Outlier Exposure
Dan Hendrycks
Mantas Mazeika
Thomas G. Dietterich
OODD
1.3K
1,634
0
11 Dec 2018
Prior Networks for Detection of Adversarial Attacks
Prior Networks for Detection of Adversarial Attacks
A. Malinin
Mark Gales
AAML
152
5
0
06 Dec 2018
A Variational Dirichlet Framework for Out-of-Distribution Detection
A Variational Dirichlet Framework for Out-of-Distribution Detection
Wenhu Chen
Yilin Shen
Xin Eric Wang
Wenjie Wang
UQCV
188
9
0
18 Nov 2018
Inhibited Softmax for Uncertainty Estimation in Neural Networks
Inhibited Softmax for Uncertainty Estimation in Neural Networks
Marcin Mo.zejko
Mateusz Susik
Rafal Karczewski
UQCV
151
35
0
03 Oct 2018
Variance Networks: When Expectation Does Not Meet Your Expectations
Variance Networks: When Expectation Does Not Meet Your ExpectationsInternational Conference on Learning Representations (ICLR), 2018
Kirill Neklyudov
Dmitry Molchanov
Arsenii Ashukha
Dmitry Vetrov
UQCV
322
24
0
10 Mar 2018
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