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1809.03576
Cited By
Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers
4 September 2018
Apoorv Vyas
Nataraj Jammalamadaka
Xia Zhu
Dipankar Das
Bharat Kaul
Theodore L. Willke
OODD
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Papers citing
"Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers"
40 / 90 papers shown
Title
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Towards Consistent Predictive Confidence through Fitted Ensembles
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22 Jun 2021
Taxonomy of Machine Learning Safety: A Survey and Primer
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Haotao Wang
Zhiding Yu
Chaowei Xiao
Zhangyang Wang
J. Yadawa
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09 Jun 2021
Enhanced Isotropy Maximization Loss: Seamless and High-Performance Out-of-Distribution Detection Simply Replacing the SoftMax Loss
David Macêdo
Teresa B Ludermir
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117
13
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30 May 2021
Neural Mean Discrepancy for Efficient Out-of-Distribution Detection
Xin Dong
Junfeng Guo
Ang Li
W. Ting
Cong Liu
H. T. Kung
OODD
119
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23 Apr 2021
Contrastive Out-of-Distribution Detection for Pretrained Transformers
Wenxuan Zhou
Fangyu Liu
Muhao Chen
56
101
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18 Apr 2021
Out-of-Distribution Detection for Dermoscopic Image Classification
Mohammadreza Mohseni
J. Yap
William Yolland
M. Razmara
S. Atkins
27
1
0
15 Apr 2021
Learning to Track Instances without Video Annotations
Yang Fu
Sifei Liu
Umar Iqbal
Shalini De Mello
Humphrey Shi
Jan Kautz
VOS
94
24
0
01 Apr 2021
Joint Distribution across Representation Space for Out-of-Distribution Detection
Jingwei Xu
Siyuan Zhu
Zenan Li
Chang Xu
OODD
19
2
0
23 Mar 2021
SSD: A Unified Framework for Self-Supervised Outlier Detection
Vikash Sehwag
M. Chiang
Prateek Mittal
OODD
128
346
0
22 Mar 2021
Analysis of skin lesion images with deep learning
Josef Steppan
S. Hanke
121
14
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11 Jan 2021
Unsupervised Anomaly Detection From Semantic Similarity Scores
Nima Rafiee
Rahil Gholamipoor
M. Kollmann
OODD
34
2
0
01 Dec 2020
Robust Deep Learning Ensemble against Deception
Wenqi Wei
Ling Liu
AAML
68
29
0
14 Sep 2020
Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning
Qing Yu
Daiki Ikami
Go Irie
Kiyoharu Aizawa
74
132
0
22 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
75
51
0
16 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
134
244
0
10 Jul 2020
Are Labels Always Necessary for Classifier Accuracy Evaluation?
Weijian Deng
Liang Zheng
66
118
0
06 Jul 2020
Entropic Out-of-Distribution Detection: Seamless Detection of Unknown Examples
David Macêdo
T. I. Ren
Cleber Zanchettin
Adriano Oliveira
Teresa B Ludermir
OODD
58
24
0
07 Jun 2020
One Versus all for deep Neural Network Incertitude (OVNNI) quantification
Gianni Franchi
Andrei Bursuc
Emanuel Aldea
Séverine Dubuisson
Isabelle Bloch
UQCV
BDL
61
22
0
01 Jun 2020
Few-Shot Open-Set Recognition using Meta-Learning
Bo Liu
Hao Kang
Haoxiang Li
G. Hua
Nuno Vasconcelos
BDL
EDL
68
92
0
27 May 2020
Domain-aware Visual Bias Eliminating for Generalized Zero-Shot Learning
Shaobo Min
Hantao Yao
Hongtao Xie
Chaoqun Wang
Zhengjun Zha
Yongdong Zhang
68
142
0
30 Mar 2020
Out-of-Distribution Detection for Skin Lesion Images with Deep Isolation Forest
Xuan Li
Yuchen Lu
Christian Desrosiers
Xue Liu
35
20
0
20 Mar 2020
Anomalous Example Detection in Deep Learning: A Survey
Saikiran Bulusu
B. Kailkhura
Yue Liu
P. Varshney
Basel Alomair
AAML
156
47
0
16 Mar 2020
Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data
Yen-Chang Hsu
Yilin Shen
Hongxia Jin
Z. Kira
OODD
124
578
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26 Feb 2020
Practical Solutions for Machine Learning Safety in Autonomous Vehicles
Sina Mohseni
Mandar Pitale
Vasu Singh
Zhangyang Wang
84
68
0
20 Dec 2019
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models
Tong Che
Xiaofeng Liu
Site Li
Yubin Ge
Ruixiang Zhang
Caiming Xiong
Yoshua Bengio
108
52
0
18 Nov 2019
Defending Against Model Stealing Attacks with Adaptive Misinformation
Sanjay Kariyappa
Moinuddin K. Qureshi
MLAU
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64
109
0
16 Nov 2019
Efficacy of Pixel-Level OOD Detection for Semantic Segmentation
Matt Angus
Krzysztof Czarnecki
Rick Salay
76
17
0
07 Nov 2019
Are Out-of-Distribution Detection Methods Effective on Large-Scale Datasets?
Ryne Roady
Tyler L. Hayes
Ronald Kemker
Ayesha Gonzales
Christopher Kanan
OODD
76
20
0
30 Oct 2019
Detecting Out-of-Distribution Inputs in Deep Neural Networks Using an Early-Layer Output
Vahdat Abdelzad
Krzysztof Czarnecki
Rick Salay
Taylor Denouden
Sachin Vernekar
Buu Phan
OODD
64
47
0
23 Oct 2019
Toward Metrics for Differentiating Out-of-Distribution Sets
Mahdieh Abbasi
Changjian Shui
Arezoo Rajabi
Christian Gagné
R. Bobba
OODD
30
4
0
18 Oct 2019
Out-of-domain Detection for Natural Language Understanding in Dialog Systems
Yinhe Zheng
Guanyi Chen
Minlie Huang
83
124
0
09 Sep 2019
Entropic Out-of-Distribution Detection
David Macêdo
T. I. Ren
Cleber Zanchettin
Adriano Oliveira
Teresa B Ludermir
OODD
UQCV
68
32
0
15 Aug 2019
Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy
Qing Yu
Kiyoharu Aizawa
OODD
72
168
0
14 Aug 2019
Improved Adversarial Robustness by Reducing Open Space Risk via Tent Activations
Andras Rozsa
Terrance E. Boult
AAML
61
18
0
07 Aug 2019
Simultaneous Semantic Segmentation and Outlier Detection in Presence of Domain Shift
Petra Bevandić
Ivan Kreso
Marin Orsic
Sinisa Segvic
84
82
0
03 Aug 2019
Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles
Siddhartha Jain
Ge Liu
Jonas W. Mueller
David K Gifford
UQCV
61
62
0
18 Jun 2019
Deep Transfer Learning for Multiple Class Novelty Detection
Pramuditha Perera
Vishal M. Patel
113
98
0
06 Mar 2019
Recent Advances in Open Set Recognition: A Survey
Chuanxing Geng
Sheng-Jun Huang
Songcan Chen
BDL
ObjD
182
773
0
21 Nov 2018
Reducing Network Agnostophobia
A. Dhamija
Manuel Günther
Terrance E. Boult
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89
307
0
09 Nov 2018
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