Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1612.01474
Cited By
v1
v2
v3 (latest)
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
5 December 2016
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles"
50 / 3,224 papers shown
Title
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates
Lingkai Kong
Jimeng Sun
Chao Zhang
UQCV
107
108
0
24 Aug 2020
Learning Off-Policy with Online Planning
Harshit S. Sikchi
Wenxuan Zhou
David Held
OffRL
139
50
0
23 Aug 2020
Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks
Arber Zela
Julien N. Siems
Lucas Zimmer
Jovita Lukasik
Margret Keuper
Frank Hutter
81
81
0
22 Aug 2020
Privacy Preserving Recalibration under Domain Shift
Rachel Luo
Shengjia Zhao
Jiaming Song
Jonathan Kuck
Stefano Ermon
Silvio Savarese
49
3
0
21 Aug 2020
A Survey of Visual Analytics Techniques for Machine Learning
Jun Yuan
Changjian Chen
Weikai Yang
Mengchen Liu
Jiazhi Xia
Shixia Liu
95
223
0
21 Aug 2020
Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables
Q. Wang
H. V. Hoof
BDL
66
42
0
21 Aug 2020
A Survey on Assessing the Generalization Envelope of Deep Neural Networks: Predictive Uncertainty, Out-of-distribution and Adversarial Samples
Julia Lust
Alexandru Paul Condurache
UQCV
AAML
AI4CE
31
8
0
21 Aug 2020
Assigning function to protein-protein interactions: a weakly supervised BioBERT based approach using PubMed abstracts
Aparna Elangovan
Melissa J. Davis
Karin Verspoor
45
8
0
20 Aug 2020
Generalizing Fault Detection Against Domain Shifts Using Stratification-Aware Cross-Validation
Yingshui Tan
Baihong Jin
Qiushi Cui
Xiangyu Yue
Alberto L. Sangiovanni-Vincentelli
25
0
0
20 Aug 2020
Using Ensemble Classifiers to Detect Incipient Anomalies
Baihong Jin
Yingshui Tan
Albert Liu
Xiangyu Yue
Yuxin Chen
Alberto L. Sangiovanni-Vincentelli
33
3
0
20 Aug 2020
Heteroscedastic Uncertainty for Robust Generative Latent Dynamics
Oliver Limoyo
Bryan Chan
Filip Marić
Brandon Wagstaff
Rupam Mahmood
Jonathan Kelly
70
8
0
18 Aug 2020
Intelligence plays dice: Stochasticity is essential for machine learning
M. Sabuncu
135
6
0
17 Aug 2020
Hey Human, If your Facial Emotions are Uncertain, You Should Use Bayesian Neural Networks!
Maryam Matin
Matias Valdenegro-Toro
UQCV
BDL
CVBM
41
2
0
17 Aug 2020
A Survey of Active Learning for Text Classification using Deep Neural Networks
Christopher Schröder
A. Niekler
83
101
0
17 Aug 2020
Beyond Point Estimate: Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender Systems
Zhe Chen
Yuyan Wang
Dong Lin
D. Cheng
Lichan Hong
Ed H. Chi
Claire Cui
100
17
0
17 Aug 2020
Survey of XAI in digital pathology
Milda Pocevičiūtė
Gabriel Eilertsen
Claes Lundström
75
56
0
14 Aug 2020
Automated detection and quantification of COVID-19 airspace disease on chest radiographs: A novel approach achieving radiologist-level performance using a CNN trained on digital reconstructed radiographs (DRRs) from CT-based ground-truth
E. Barbosa
W. Gefter
Rochelle Yang
Florin-Cristian Ghesu
Siqi Liu
...
A. Balachandran
S. Vogt
Valentin Ziebandt
Steffen Kappler
Dorin Comaniciu
87
6
0
13 Aug 2020
Unifying supervised learning and VAEs -- coverage, systematics and goodness-of-fit in normalizing-flow based neural network models for astro-particle reconstructions
T. Glüsenkamp
39
1
0
13 Aug 2020
Model-Based Offline Planning
Arthur Argenson
Gabriel Dulac-Arnold
OffRL
103
155
0
12 Aug 2020
Local Temperature Scaling for Probability Calibration
Zhipeng Ding
Xu Han
Peirong Liu
Marc Niethammer
122
81
0
12 Aug 2020
Residual Generation Using Physically-Based Grey-Box Recurrent Neural Networks For Engine Fault Diagnosis
Daniel E. Jung
22
10
0
11 Aug 2020
Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a Survey
Aske Plaat
W. Kosters
Mike Preuss
BDL
OffRL
111
17
0
11 Aug 2020
Investigating maximum likelihood based training of infinite mixtures for uncertainty quantification
Sina Daubener
Asja Fischer
BDL
UQCV
46
2
0
07 Aug 2020
Bootstrapping Neural Processes
Juho Lee
Yoonho Lee
Jungtaek Kim
Eunho Yang
Sung Ju Hwang
Yee Whye Teh
UQCV
BDL
87
43
0
07 Aug 2020
Importance of Self-Consistency in Active Learning for Semantic Segmentation
S. Golestaneh
Kris Kitani
SSL
54
36
0
04 Aug 2020
TREND: Transferability based Robust ENsemble Design
Deepak Ravikumar
Sangamesh Kodge
Isha Garg
Kaushik Roy
OOD
AAML
33
4
0
04 Aug 2020
Deep Bayesian Bandits: Exploring in Online Personalized Recommendations
Dalin Guo
S. Ktena
Ferenc Huszár
Pranay K. Myana
Wenzhe Shi
Alykhan Tejani
OffRL
78
41
0
03 Aug 2020
Geometrically Enriched Latent Spaces
Georgios Arvanitidis
Søren Hauberg
Bernhard Schölkopf
DRL
77
55
0
02 Aug 2020
Cold Posteriors and Aleatoric Uncertainty
Ben Adlam
Jasper Snoek
Samuel L. Smith
BDL
UQCV
97
24
0
31 Jul 2020
Real-Time Uncertainty Estimation in Computer Vision via Uncertainty-Aware Distribution Distillation
Yichen Shen
Zhilu Zhang
M. Sabuncu
Lin Sun
UQCV
82
3
0
31 Jul 2020
Toward Reliable Models for Authenticating Multimedia Content: Detecting Resampling Artifacts With Bayesian Neural Networks
Anatol Maier
Benedikt Lorch
Christian Riess
AAML
79
17
0
28 Jul 2020
An Uncertainty-aware Transfer Learning-based Framework for Covid-19 Diagnosis
Afshar Shamsi
Hamzeh Asgharnezhad
Shirin Shamsi Jokandan
Abbas Khosravi
P. Kebria
D. Nahavandi
S. Nahavandi
D. Srinivasan
OOD
131
135
0
26 Jul 2020
Neural networks with late-phase weights
J. Oswald
Seijin Kobayashi
Alexander Meulemans
Christian Henning
Benjamin Grewe
João Sacramento
94
35
0
25 Jul 2020
Modal Uncertainty Estimation via Discrete Latent Representation
Di Qiu
L. Lui
UQCV
44
5
0
25 Jul 2020
Rethinking CNN Models for Audio Classification
Kamalesh Palanisamy
Dipika Singhania
Angela Yao
SSL
83
145
0
22 Jul 2020
Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-Supervised Medical Image Segmentation
Yuexiang Li
Jiawei Chen
Xinpeng Xie
Kai Ma
Yefeng Zheng
UQCV
71
95
0
20 Jul 2020
Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles
Tárik S. Salem
H. Langseth
H. Ramampiaro
UQCV
90
37
0
19 Jul 2020
Probabilistic Neighbourhood Component Analysis: Sample Efficient Uncertainty Estimation in Deep Learning
Ankur Mallick
Chaitanya Dwivedi
B. Kailkhura
Gauri Joshi
T. Y. Han
UQCV
BDL
61
6
0
18 Jul 2020
Learn to Propagate Reliably on Noisy Affinity Graphs
Lei Yang
Qingqiu Huang
Huaiyi Huang
Linning Xu
Dahua Lin
GNN
71
13
0
17 Jul 2020
Uncertainty Quantification and Deep Ensembles
R. Rahaman
Alexandre Hoang Thiery
UQCV
99
154
0
17 Jul 2020
On Power Laws in Deep Ensembles
E. Lobacheva
Nadezhda Chirkova
M. Kodryan
Dmitry Vetrov
UQCV
75
40
0
16 Jul 2020
Transferable Calibration with Lower Bias and Variance in Domain Adaptation
Ximei Wang
Mingsheng Long
Jianmin Wang
Michael I. Jordan
76
54
0
16 Jul 2020
Detecting Out-of-distribution Samples via Variational Auto-encoder with Reliable Uncertainty Estimation
Xuming Ran
Mingkun Xu
Lingrui Mei
Qi Xu
Quanying Liu
OODD
UQCV
91
51
0
16 Jul 2020
The Monte Carlo Transformer: a stochastic self-attention model for sequence prediction
Alice Martin
Charles Ollion
Florian Strub
Sylvain Le Corff
Olivier Pietquin
55
6
0
15 Jul 2020
Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users
Laurent Valentin Jospin
Wray Buntine
F. Boussaïd
Hamid Laga
Bennamoun
OOD
BDL
UQCV
93
634
0
14 Jul 2020
Monitoring and explainability of models in production
Janis Klaise
A. V. Looveren
Clive Cox
G. Vacanti
Alexandru Coca
110
49
0
13 Jul 2020
Exploiting Uncertainties from Ensemble Learners to Improve Decision-Making in Healthcare AI
Yingshui Tan
Baihong Jin
Xiangyu Yue
Yuxin Chen
Alberto L. Sangiovanni-Vincentelli
59
7
0
12 Jul 2020
Bayesian Deep Ensembles via the Neural Tangent Kernel
Bobby He
Balaji Lakshminarayanan
Yee Whye Teh
BDL
UQCV
66
121
0
11 Jul 2020
Contrastive Training for Improved Out-of-Distribution Detection
Jim Winkens
Rudy Bunel
Abhijit Guha Roy
Robert Stanforth
Vivek Natarajan
...
Alan Karthikesalingam
Simon A. A. Kohl
taylan. cemgil
S. M. Ali Eslami
Olaf Ronneberger
OODD
148
244
0
10 Jul 2020
To BAN or not to BAN: Bayesian Attention Networks for Reliable Hate Speech Detection
Kristian Miok
Blaž Škrlj
D. Zaharie
Marko Robnik-Šikonja
63
43
0
10 Jul 2020
Previous
1
2
3
...
54
55
56
...
63
64
65
Next