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1812.05720
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Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem
13 December 2018
Matthias Hein
Maksym Andriushchenko
Julian Bitterwolf
OODD
Re-assign community
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Papers citing
"Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem"
50 / 366 papers shown
Energy-Based Open-World Uncertainty Modeling for Confidence Calibration
IEEE International Conference on Computer Vision (ICCV), 2021
Yezhen Wang
Yue Liu
Tong Che
Kaiyang Zhou
Ziwei Liu
Dongsheng Li
UQCV
281
65
0
27 Jul 2021
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review
International Conference on Automated Software Engineering (ASE), 2021
Florian Tambon
Gabriel Laberge
Le An
Amin Nikanjam
Paulina Stevia Nouwou Mindom
Y. Pequignot
Foutse Khomh
G. Antoniol
E. Merlo
François Laviolette
498
80
0
26 Jul 2021
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions
IEEE Access (IEEE Access), 2021
Eike Petersen
Yannik Potdevin
Esfandiar Mohammadi
Stephan Zidowitz
Sabrina Breyer
...
Sandra Henn
Ludwig Pechmann
M. Leucker
P. Rostalski
Christian Herzog
FaML
AILaw
OOD
269
35
0
20 Jul 2021
Transductive image segmentation: Self-training and effect of uncertainty estimation
Konstantinos Kamnitsas
S. Winzeck
E. Kornaropoulos
Daniel Whitehouse
Cameron Englman
...
David Menon
Daniel Rueckert
T. Das
Virginia Newcombe
Ben Glocker
MedIm
117
4
0
19 Jul 2021
Mediated Uncoupled Learning: Learning Functions without Direct Input-output Correspondences
International Conference on Machine Learning (ICML), 2021
Ikko Yamane
Junya Honda
Florian Yger
Masashi Sugiyama
SSL
FedML
OOD
202
1
0
16 Jul 2021
Uncertainty-Aware Reliable Text Classification
Knowledge Discovery and Data Mining (KDD), 2021
Yibo Hu
Latifur Khan
EDL
UQCV
147
36
0
15 Jul 2021
What classifiers know what they don't?
Mohamed Ishmael Belghazi
David Lopez-Paz
241
7
0
13 Jul 2021
A Survey of Uncertainty in Deep Neural Networks
J. Gawlikowski
Cedrique Rovile Njieutcheu Tassi
Mohsin Ali
Jongseo Lee
Matthias Humt
...
R. Roscher
Muhammad Shahzad
Wen Yang
R. Bamler
Xiaoxiang Zhu
BDL
UQCV
OOD
547
1,479
0
07 Jul 2021
On Out-of-distribution Detection with Energy-based Models
Sven Elflein
Bertrand Charpentier
Daniel Zügner
Stephan Günnemann
OODD
161
22
0
03 Jul 2021
Valid prediction intervals for regression problems
Artificial Intelligence Review (AIR), 2021
Nicolas Dewolf
B. De Baets
Willem Waegeman
419
59
0
01 Jul 2021
Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity
International Conference on Learning Representations (ICLR), 2021
Shiwei Liu
Tianlong Chen
Zahra Atashgahi
Xiaohan Chen
Ghada Sokar
Elena Mocanu
Mykola Pechenizkiy
Zinan Lin
Decebal Constantin Mocanu
OOD
373
62
0
28 Jun 2021
A Knowledge-Grounded Dialog System Based on Pre-Trained Language Models
Weijie Zhang
Jiaoxuan Chen
Haipang Wu
Sanhui Wan
Gongfeng Li
80
5
0
28 Jun 2021
Graceful Degradation and Related Fields
J. Dymond
204
5
0
21 Jun 2021
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise
Neural Information Processing Systems (NeurIPS), 2021
Jianguo Huang
Lue Tao
Renchunzi Xie
Bo An
NoLa
286
101
0
21 Jun 2021
Less is More: Feature Selection for Adversarial Robustness with Compressive Counter-Adversarial Attacks
Emre Ozfatura
Muhammad Zaid Hameed
Kerem Ozfatura
Deniz Gunduz
AAML
103
1
0
18 Jun 2021
Being a Bit Frequentist Improves Bayesian Neural Networks
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Agustinus Kristiadi
Matthias Hein
Philipp Hennig
BDL
UQCV
219
17
0
18 Jun 2021
Understanding Softmax Confidence and Uncertainty
Tim Pearce
Alexandra Brintrup
Jun Zhu
UQCV
266
107
0
09 Jun 2021
Taxonomy of Machine Learning Safety: A Survey and Primer
ACM Computing Surveys (CSUR), 2021
Sina Mohseni
Haotao Wang
Zhiding Yu
Chaowei Xiao
Zinan Lin
J. Yadawa
303
44
0
09 Jun 2021
Provably Robust Detection of Out-of-distribution Data (almost) for free
Neural Information Processing Systems (NeurIPS), 2021
Alexander Meinke
Julian Bitterwolf
Matthias Hein
OODD
216
21
0
08 Jun 2021
Shifting Transformation Learning for Out-of-Distribution Detection
Sina Mohseni
Arash Vahdat
J. Yadawa
OODD
242
9
0
07 Jun 2021
Investigation of Uncertainty of Deep Learning-based Object Classification on Radar Spectra
Kanil Patel
William H. Beluch
K. Rambach
Adriana-Eliza Cozma
Michael Pfeiffer
Bin Yang
EDL
UQCV
202
5
0
01 Jun 2021
Active Learning in Bayesian Neural Networks with Balanced Entropy Learning Principle
International Conference on Learning Representations (ICLR), 2021
J. Woo
291
14
0
30 May 2021
Enhanced Isotropy Maximization Loss: Seamless and High-Performance Out-of-Distribution Detection Simply Replacing the SoftMax Loss
David Macêdo
Teresa B Ludermir
OODD
446
15
0
30 May 2021
DeepGaze IIE: Calibrated prediction in and out-of-domain for state-of-the-art saliency modeling
IEEE International Conference on Computer Vision (ICCV), 2021
Akis Linardos
Matthias Kümmerer
Ori Press
Matthias Bethge
MDE
230
84
0
26 May 2021
Masked Contrastive Learning for Anomaly Detection
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Hyunsoo Cho
Jinseok Seol
Sang-goo Lee
SSL
189
47
0
18 May 2021
Natural Posterior Network: Deep Bayesian Uncertainty for Exponential Family Distributions
Bertrand Charpentier
Oliver Borchert
Daniel Zügner
Simon Geisler
Stephan Günnemann
UQCV
BDL
263
19
0
10 May 2021
Topological Uncertainty: Monitoring trained neural networks through persistence of activation graphs
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Théo Lacombe
Yuichi Ike
Mathieu Carrière
Frédéric Chazal
Marc Glisse
Yuhei Umeda
168
26
0
07 May 2021
MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space
Computer Vision and Pattern Recognition (CVPR), 2021
Rui Huang
Shouqing Yang
OODD
363
294
0
05 May 2021
SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation
Robin Shing Moon Chan
Krzysztof Lis
Svenja Uhlemeyer
Hermann Blum
S. Honari
Roland Siegwart
Pascal Fua
Mathieu Salzmann
Matthias Rottmann
UQCV
257
167
0
30 Apr 2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety
Sebastian Houben
Stephanie Abrecht
Maram Akila
Andreas Bär
Felix Brockherde
...
Serin Varghese
Michael Weber
Sebastian J. Wirkert
Tim Wirtz
Matthias Woehrle
AAML
317
61
0
29 Apr 2021
Unsupervised Learning of Multi-level Structures for Anomaly Detection
Songmin Dai
Jide Li
Lu Wang
Congcong Zhu
Yifan Wu
Xiaoqiang Li
117
0
0
25 Apr 2021
Neural Mean Discrepancy for Efficient Out-of-Distribution Detection
Computer Vision and Pattern Recognition (CVPR), 2021
Xin Dong
Junfeng Guo
Ang Li
W. Ting
Cong Liu
H. T. Kung
OODD
337
67
0
23 Apr 2021
Uncertainty Surrogates for Deep Learning
R. Achanta
Natasa Tagasovska
OOD
UQCV
104
0
0
16 Apr 2021
Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey
Thomas Rojat
Raphael Puget
David Filliat
Javier Del Ser
R. Gelin
Natalia Díaz Rodríguez
XAI
AI4TS
263
162
0
02 Apr 2021
The Compact Support Neural Network
Italian National Conference on Sensors (INS), 2021
Adrian Barbu
Hongyu Mou
70
5
0
01 Apr 2021
Learning Placeholders for Open-Set Recognition
Computer Vision and Pattern Recognition (CVPR), 2021
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
VLM
196
231
0
28 Mar 2021
Posterior Meta-Replay for Continual Learning
Neural Information Processing Systems (NeurIPS), 2021
Christian Henning
Maria R. Cervera
Francesco DÁngelo
J. Oswald
Regina Traber
Benjamin Ehret
Seijin Kobayashi
Benjamin Grewe
João Sacramento
CLL
BDL
503
72
0
01 Mar 2021
Fool Me Once: Robust Selective Segmentation via Out-of-Distribution Detection with Contrastive Learning
IEEE International Conference on Robotics and Automation (ICRA), 2021
David S. W. Williams
Matthew Gadd
D. Martini
Paul Newman
OODD
137
15
0
01 Mar 2021
Make Sure You're Unsure: A Framework for Verifying Probabilistic Specifications
Neural Information Processing Systems (NeurIPS), 2021
Leonard Berrada
Sumanth Dathathri
Krishnamurthy Dvijotham
Robert Stanforth
Rudy Bunel
J. Uesato
Sven Gowal
M. P. Kumar
AAML
OOD
259
20
0
18 Feb 2021
Corner Cases for Visual Perception in Automated Driving: Some Guidance on Detection Approaches
Jasmin Breitenstein
Jan-Aike Termöhlen
Daniel Lipinski
Tim Fingscheidt
AAML
210
43
0
11 Feb 2021
Dynamic Neural Networks: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Yizeng Han
Gao Huang
Shiji Song
Le Yang
Honghui Wang
Yulin Wang
3DH
AI4TS
AI4CE
411
798
0
09 Feb 2021
Learning Noise Transition Matrix from Only Noisy Labels via Total Variation Regularization
International Conference on Machine Learning (ICML), 2021
Yivan Zhang
Gang Niu
Masashi Sugiyama
NoLa
241
106
0
04 Feb 2021
One Label, One Billion Faces: Usage and Consistency of Racial Categories in Computer Vision
Conference on Fairness, Accountability and Transparency (FAccT), 2021
Zaid Khan
Y. Fu
319
58
0
03 Feb 2021
Removing Undesirable Feature Contributions Using Out-of-Distribution Data
International Conference on Learning Representations (ICLR), 2021
Saehyung Lee
Changhwa Park
Hyungyu Lee
Jihun Yi
Jonghyun Lee
Sungroh Yoon
OODD
303
26
0
17 Jan 2021
Spending Your Winning Lottery Better After Drawing It
Ajay Jaiswal
Haoyu Ma
Tianlong Chen
Ying Ding
Zinan Lin
247
6
0
08 Jan 2021
Multidimensional Uncertainty-Aware Evidential Neural Networks
AAAI Conference on Artificial Intelligence (AAAI), 2020
Yibo Hu
Yuzhe Ou
Xujiang Zhao
Jin-Hee Cho
Feng Chen
EDL
UQCV
AAML
235
30
0
26 Dec 2020
Out-distribution aware Self-training in an Open World Setting
Maximilian Augustin
Matthias Hein
83
7
0
21 Dec 2020
Learning Energy-Based Models With Adversarial Training
European Conference on Computer Vision (ECCV), 2020
Xuwang Yin
Shiying Li
Gustavo K. Rohde
AAML
DiffM
407
11
0
11 Dec 2020
Know Your Limits: Uncertainty Estimation with ReLU Classifiers Fails at Reliable OOD Detection
Conference on Uncertainty in Artificial Intelligence (UAI), 2020
Dennis Ulmer
Giovanni Cina
OODD
599
34
0
09 Dec 2020
Entropy Maximization and Meta Classification for Out-Of-Distribution Detection in Semantic Segmentation
IEEE International Conference on Computer Vision (ICCV), 2020
Robin Shing Moon Chan
Matthias Rottmann
Hanno Gottschalk
OODD
347
177
0
09 Dec 2020
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