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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
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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
Affine Invariant Ensemble Transform Methods to Improve Predictive Uncertainty in Neural Networks
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279
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Deep Learning Safety Concerns in Automated Driving Perception
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Alexander Hirsch
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300
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07 Sep 2023
Multiclass Alignment of Confidence and Certainty for Network Calibration
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M. H. Khan
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158
1
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06 Sep 2023
Ensembling Uncertainty Measures to Improve Safety of Black-Box Classifiers
European Conference on Artificial Intelligence (ECAI), 2023
T. Zoppi
Andrea Ceccarelli
A. Bondavalli
UQCV
171
2
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23 Aug 2023
Uncertainty Estimation of Transformers' Predictions via Topological Analysis of the Attention Matrices
Elizaveta Kostenok
D. Cherniavskii
Alexey Zaytsev
247
9
0
22 Aug 2023
Learning on Graphs with Out-of-Distribution Nodes
Knowledge Discovery and Data Mining (KDD), 2022
Yunho Song
Xuetao Zhang
OODD
214
51
0
13 Aug 2023
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: Generative Open-Set Node Classification on Graphs with Proxy Unknowns
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Qin Zhang
Zelin Shi
Xiaolin Zhang
Xiaojun Chen
Philippe Fournier-Viger
Shirui Pan
128
12
0
10 Aug 2023
Learning to Generate Training Datasets for Robust Semantic Segmentation
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Marwane Hariat
Olivier Laurent
Rémi Kazmierczak
Shihao Zhang
Andrei Bursuc
Angela Yao
Gianni Franchi
UQCV
292
4
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01 Aug 2023
General-Purpose Multi-Modal OOD Detection Framework
Viet Duong
Qiong Wu
Zhengyi Zhou
Eric Zavesky
Jiahe Chen
Xiangzhou Liu
Wen-Ling Hsu
Huajie Shao
OODD
207
2
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24 Jul 2023
On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Akshay Mehra
Yunbei Zhang
B. Kailkhura
Jihun Hamm
298
3
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17 Jul 2023
Geometric Pooling: maintaining more useful information
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Jia Liu
Yang Shen
Kenan Lou
Yanxia Bao
Ruihua Zhang
Shuyue Zhou
Hongsen Zhao
Shuai Wang
126
0
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21 Jun 2023
Balanced Energy Regularization Loss for Out-of-distribution Detection
Computer Vision and Pattern Recognition (CVPR), 2023
Hyunjun Choi
Hawook Jeong
Hawook Jeong
OODD
286
21
0
18 Jun 2023
Collapsed Inference for Bayesian Deep Learning
Neural Information Processing Systems (NeurIPS), 2023
Zhe Zeng
Karen Ullrich
FedML
BDL
UQCV
349
11
0
16 Jun 2023
Polyhedral Complex Extraction from ReLU Networks using Edge Subdivision
International Conference on Machine Learning (ICML), 2023
Arturs Berzins
200
10
0
12 Jun 2023
A Functional Data Perspective and Baseline On Multi-Layer Out-of-Distribution Detection
Eduardo Dadalto Camara Gomes
Pierre Colombo
Guillaume Staerman
Nathan Noiry
Pablo Piantanida
OODD
550
2
0
06 Jun 2023
DOS: Diverse Outlier Sampling for Out-of-Distribution Detection
International Conference on Learning Representations (ICLR), 2023
Wenyu Jiang
Hao Cheng
Mingcai Chen
Chongjun Wang
Jianguo Huang
OOD
OODD
408
11
0
03 Jun 2023
In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation
International Conference on Machine Learning (ICML), 2023
Julian Bitterwolf
Maximilian Müller
Matthias Hein
OODD
285
122
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01 Jun 2023
Towards Semi-supervised Universal Graph Classification
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Xiao Luo
Yusheng Zhao
Yifang Qin
Wei Ju
Ming Zhang
196
42
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31 May 2023
Perception and Semantic Aware Regularization for Sequential Confidence Calibration
Computer Vision and Pattern Recognition (CVPR), 2023
Zhenghua Peng
Yuanmao Luo
Tianshui Chen
Keke Xu
Shuangping Huang
AI4TS
285
3
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31 May 2023
Are Deep Neural Networks Adequate Behavioural Models of Human Visual Perception?
Annual Review of Vision Science (ARVS), 2023
Felix Wichmann
Robert Geirhos
248
38
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26 May 2023
Monitoring and Adapting ML Models on Mobile Devices
International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2023
Wei Hao
Zixi Wang
Lauren Hong
Lingxi Li
Nader Karayanni
Chengzhi Mao
Junfeng Yang
Asaf Cidon
OffRL
170
6
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12 May 2023
Great Models Think Alike: Improving Model Reliability via Inter-Model Latent Agreement
International Conference on Machine Learning (ICML), 2023
Ailin Deng
Miao Xiong
Bryan Hooi
352
9
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02 May 2023
Promises and Pitfalls of the Linearized Laplace in Bayesian Optimization
Agustinus Kristiadi
Alexander Immer
Runa Eschenhagen
Vincent Fortuin
BDL
UQCV
245
11
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17 Apr 2023
ASPEST: Bridging the Gap Between Active Learning and Selective Prediction
Jiefeng Chen
Chang Jo Kim
Sayna Ebrahimi
Sercan O. Arik
S. Jha
Tomas Pfister
367
5
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07 Apr 2023
Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution Detection
Nicola Franco
Daniel Korth
J. Lorenz
Karsten Roscher
Stephan Guennemann
164
6
0
27 Mar 2023
SIO: Synthetic In-Distribution Data Benefits Out-of-Distribution Detection
Jingyang Zhang
Nathan Inkawhich
Randolph Linderman
R. Luley
Yiran Chen
Xue Yang
OODD
193
1
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25 Mar 2023
Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection
Computer Vision and Pattern Recognition (CVPR), 2023
Muhammad Akhtar Munir
Muhammad Haris Khan
Salman Khan
Fahad Shahbaz Khan
UQCV
169
18
0
25 Mar 2023
ProtoCon: Pseudo-label Refinement via Online Clustering and Prototypical Consistency for Efficient Semi-supervised Learning
Computer Vision and Pattern Recognition (CVPR), 2023
Islam Nassar
Munawar Hayat
Ehsan Abbasnejad
Hamid Rezatofighi
Gholamreza Haffari
172
26
0
22 Mar 2023
On the Calibration and Uncertainty with Pólya-Gamma Augmentation for Dialog Retrieval Models
AAAI Conference on Artificial Intelligence (AAAI), 2023
Tong Ye
Shijing Si
Jianzong Wang
Ning Cheng
Zhitao Li
Jing Xiao
228
3
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15 Mar 2023
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning
International Conference on Learning Representations (ICLR), 2023
Xiaohua Xie
Yin Li
Yong Jae Lee
181
17
0
13 Mar 2023
Non-Parametric Outlier Synthesis
International Conference on Learning Representations (ICLR), 2023
Leitian Tao
Xuefeng Du
Xiaojin Zhu
Shouqing Yang
OODD
237
143
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06 Mar 2023
DeepLens: Interactive Out-of-distribution Data Detection in NLP Models
International Conference on Human Factors in Computing Systems (CHI), 2023
D. Song
Zhijie Wang
Yuheng Huang
Lei Ma
Tianyi Zhang
147
8
0
02 Mar 2023
Uncertainty Injection: A Deep Learning Method for Robust Optimization
IEEE Transactions on Wireless Communications (IEEE TWC), 2023
W. Cui
Wei Yu
UQCV
OOD
95
11
0
23 Feb 2023
VRA: Variational Rectified Activation for Out-of-distribution Detection
Neural Information Processing Systems (NeurIPS), 2023
Ming Xu
Zheng Lian
B. Liu
Jianhua Tao
OODD
294
13
0
23 Feb 2023
Fixing Overconfidence in Dynamic Neural Networks
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Lassi Meronen
Martin Trapp
Andrea Pilzer
Le Yang
Arno Solin
BDL
361
24
0
13 Feb 2023
Learning to Scale Temperature in Masked Self-Attention for Image Inpainting
Xiang Zhou
Yuan Zeng
Yi Gong
157
3
0
13 Feb 2023
Better Diffusion Models Further Improve Adversarial Training
International Conference on Machine Learning (ICML), 2023
Zekai Wang
Tianyu Pang
Chao Du
Min Lin
Weiwei Liu
Shuicheng Yan
DiffM
427
283
0
09 Feb 2023
Energy-based Out-of-Distribution Detection for Graph Neural Networks
International Conference on Learning Representations (ICLR), 2023
Qitian Wu
Yiting Chen
Chenxiao Yang
Junchi Yan
OODD
497
87
0
06 Feb 2023
Trust, but Verify: Using Self-Supervised Probing to Improve Trustworthiness
European Conference on Computer Vision (ECCV), 2023
Ailin Deng
Shen Li
Miao Xiong
Zhirui Chen
Bryan Hooi
156
4
0
06 Feb 2023
Master's Thesis: Out-of-distribution Detection with Energy-based Models
Sven Elflein
OODD
184
2
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28 Jan 2023
Interpretable Out-Of-Distribution Detection Using Pattern Identification
Romain Xu-Darme
Julien Girard-Satabin
Darryl Hond
Gabriele Incorvaia
Zakaria Chihani
OODD
176
4
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24 Jan 2023
Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection
AAAI Conference on Artificial Intelligence (AAAI), 2022
Jaeyoung Kim
Seo Taek Kong
Dongbin Na
Kyu-Hwan Jung
OODD
137
6
0
26 Dec 2022
Boosting Out-of-Distribution Detection with Multiple Pre-trained Models
Feng Xue
Zi He
Chuanlong Xie
Falong Tan
Zhenguo Li
OODD
345
7
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24 Dec 2022
Rainproof: An Umbrella To Shield Text Generators From Out-Of-Distribution Data
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Maxime Darrin
Pablo Piantanida
Pierre Colombo
OODD
437
16
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18 Dec 2022
Improving group robustness under noisy labels using predictive uncertainty
Dongpin Oh
Dae Lee
Jeunghyun Byun
Bonggun Shin
UQCV
196
4
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14 Dec 2022
Spurious Features Everywhere -- Large-Scale Detection of Harmful Spurious Features in ImageNet
IEEE International Conference on Computer Vision (ICCV), 2022
Yannic Neuhaus
Maximilian Augustin
Valentyn Boreiko
Matthias Hein
AAML
299
39
0
09 Dec 2022
Self-training via Metric Learning for Source-Free Domain Adaptation of Semantic Segmentation
Ibrahim Batuhan Akkaya
U. Halici
TTA
250
4
0
08 Dec 2022
Block Selection Method for Using Feature Norm in Out-of-distribution Detection
Computer Vision and Pattern Recognition (CVPR), 2022
Yeonguk Yu
Sungho Shin
Seongju Lee
C. Jun
Kyoobin Lee
OODD
334
41
0
05 Dec 2022
Rethinking Out-of-Distribution Detection From a Human-Centric Perspective
International Journal of Computer Vision (IJCV), 2022
Yao Zhu
YueFeng Chen
Xiaodan Li
Rong Zhang
Hui Xue
Xiang Tian
Rongxin Jiang
Bo Zheng
Yao-wu Chen
OODD
140
8
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30 Nov 2022
RbA: Segmenting Unknown Regions Rejected by All
IEEE International Conference on Computer Vision (ICCV), 2022
Nazir Nayal
Mısra Yavuz
João F. Henriques
Fatma Guney
UQCV
203
65
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25 Nov 2022
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