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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
Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection
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F. Alberge
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261
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What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions?
Weijie Tu
Weijian Deng
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Tom Gedeon
301
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Batch-in-Batch: a new adversarial training framework for initial perturbation and sample selection
Yinting Wu
Pai Peng
Bo Cai
Le Li
.
AAML
237
0
0
06 Jun 2024
Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputation
Mohamed Ragab
Peiliang Gong
Emadeldeen Eldele
Wenyu Zhang
Ruibing Jin
Chuan-Sheng Foo
Daoqiang Zhang
Xiaoli Li
Zhenghua Chen
TTA
AI4TS
389
3
0
04 Jun 2024
Zero-Shot Out-of-Distribution Detection with Outlier Label Exposure
Choubo Ding
Guansong Pang
OODD
VLM
241
6
0
03 Jun 2024
When and How Does In-Distribution Label Help Out-of-Distribution Detection?
Xuefeng Du
Yiyou Sun
Shouqing Yang
300
10
0
28 May 2024
Transitional Uncertainty with Layered Intermediate Predictions
Ryan Benkert
Mohit Prabhushankar
Ghassan AlRegib
287
3
0
25 May 2024
Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations
Mohammad Azizmalayeri
Ameen Abu-Hanna
Giovanni Cina
OODD
231
4
0
21 May 2024
How to train your ViT for OOD Detection
Maximilian Mueller
Matthias Hein
302
2
0
21 May 2024
Out-of-distribution detection based on subspace projection of high-dimensional features output by the last convolutional layer
Qiuyu Zhu
Yiwei He
OODD
207
2
0
02 May 2024
Out-of-distribution Detection in Medical Image Analysis: A survey
Zesheng Hong
Yubiao Yue
Yubin Chen
Lele Cong
Huanjie Lin
...
Jialong Xu
Xiaoqi Yang
Hechang Chen
Zhenzhang Li
Sihong Xie
OOD
206
15
0
28 Apr 2024
Pearls from Pebbles: Improved Confidence Functions for Auto-labeling
Harit Vishwakarma
Reid Chen
Chen
Sui Jiet Tay
Satya Sai Srinath Namburi
Frederic Sala
Ramya Korlakai Vinayak
299
5
0
24 Apr 2024
Gradient-Regularized Out-of-Distribution Detection
Sina Sharifi
Taha Entesari
Bardia Safaei
Vishal M. Patel
Mahyar Fazlyab
OODD
319
11
0
18 Apr 2024
Toward a Realistic Benchmark for Out-of-Distribution Detection
Pietro Recalcati
Fabio Garcea
Luca Piano
Fabrizio Lamberti
Lia Morra
OODD
282
1
0
16 Apr 2024
Out-of-Distribution Data: An Acquaintance of Adversarial Examples -- A Survey
Naveen Karunanayake
Ravin Gunawardena
Suranga Seneviratne
Sanjay Chawla
OOD
301
14
0
08 Apr 2024
Hyperbolic Metric Learning for Visual Outlier Detection
Alvaro Gonzalez-Jimenez
Simone Lionetti
Dena Bazazian
Philippe Gottfrois
Fabian Gröger
Marc Pouly
Alexander A. Navarini
212
3
0
22 Mar 2024
LoMOE: Localized Multi-Object Editing via Multi-Diffusion
Goirik Chakrabarty
Aditya Chandrasekar
Ramya Hebbalaguppe
AP Prathosh
DiffM
150
8
0
01 Mar 2024
Trustworthy Personalized Bayesian Federated Learning via Posterior Fine-Tune
Mengen Luo
Chi Xu
E. Kuruoglu
FedML
316
1
0
25 Feb 2024
Towards Trustworthy Reranking: A Simple yet Effective Abstention Mechanism
Hippolyte Gisserot-Boukhlef
Manuel Faysse
Emmanuel Malherbe
C´eline Hudelot
Pierre Colombo
423
5
0
20 Feb 2024
How Does Unlabeled Data Provably Help Out-of-Distribution Detection?
International Conference on Learning Representations (ICLR), 2024
Xuefeng Du
Zhen Fang
Ilias Diakonikolas
Shouqing Yang
OODD
248
34
0
05 Feb 2024
Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection
Chao Chen
Zhihang Fu
Kai-Chun Liu
Ze Chen
Mingyuan Tao
Jieping Ye
OODD
229
6
0
04 Feb 2024
Uncertainty estimates for semantic segmentation: providing enhanced reliability for automated motor claims handling
Machine Vision and Applications (MVA), 2024
Jan Küchler
Daniel Kröll
S. Schoenen
Andreas Witte
UQCV
167
2
0
17 Jan 2024
Reliability and Interpretability in Science and Deep Learning
Luigi Scorzato
246
16
0
14 Jan 2024
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models
Gianni Franchi
Olivier Laurent
Maxence Leguéry
Andrei Bursuc
Andrea Pilzer
Angela Yao
UQCV
BDL
197
15
0
23 Dec 2023
HyperMix: Out-of-Distribution Detection and Classification in Few-Shot Settings
Nikhil Mehta
Kevin J. Liang
Jing Huang
Fu-Jen Chu
Li Yin
Tal Hassner
OODD
206
3
0
22 Dec 2023
How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection?
Soumya Suvra Ghosal
Yiyou Sun
Shouqing Yang
OODD
225
19
0
22 Dec 2023
EAT: Towards Long-Tailed Out-of-Distribution Detection
AAAI Conference on Artificial Intelligence (AAAI), 2023
Tong Wei
Bo-Lin Wang
Min-Ling Zhang
OODD
251
18
0
14 Dec 2023
Not All Data Matters: An End-to-End Adaptive Dataset Pruning Framework for Enhancing Model Performance and Efficiency
Suorong Yang
Hongchao Yang
Suhan Guo
Shen Furao
Jian Zhao
194
5
0
09 Dec 2023
DiG-IN: Diffusion Guidance for Investigating Networks -- Uncovering Classifier Differences Neuron Visualisations and Visual Counterfactual Explanations
Computer Vision and Pattern Recognition (CVPR), 2023
Maximilian Augustin
Yannic Neuhaus
Matthias Hein
DiffM
380
9
0
29 Nov 2023
ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection
Computer Vision and Pattern Recognition (CVPR), 2023
Yichen Bai
Zongbo Han
Changqing Zhang
Bing Cao
Xiaoheng Jiang
Qinghua Hu
OODD
404
37
0
26 Nov 2023
RankFeat&RankWeight: Rank-1 Feature/Weight Removal for Out-of-distribution Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Yue Song
Andrii Zadaianchuk
Wei Wang
OODD
310
3
0
23 Nov 2023
GAIA: Delving into Gradient-based Attribution Abnormality for Out-of-distribution Detection
Jinggang Chen
Junjie Li
Xiaoyang Qu
Jianzong Wang
Jiguang Wan
Jing Xiao
OODD
241
11
0
16 Nov 2023
Distilling the Unknown to Unveil Certainty
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Zhilin Zhao
Longbing Cao
Yixuan Zhang
Kun-Li Channing Lin
Wei-Shi Zheng
213
0
0
14 Nov 2023
Improvements on Uncertainty Quantification for Node Classification via Distance-Based Regularization
Neural Information Processing Systems (NeurIPS), 2023
Russell Hart
Linlin Yu
Yifei Lou
Feng Chen
UQCV
239
6
0
10 Nov 2023
Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural Networks
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Ahmad Rashid
Serena Hacker
Guojun Zhang
Agustinus Kristiadi
Pascal Poupart
OODD
220
0
0
07 Nov 2023
Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources
Neural Information Processing Systems (NeurIPS), 2023
Haotian Zheng
Qizhou Wang
Zhen Fang
Xiaobo Xia
Yifan Zhang
Tongliang Liu
Bo Han
442
39
0
06 Nov 2023
Learning to Augment Distributions for Out-of-Distribution Detection
Neural Information Processing Systems (NeurIPS), 2023
Qizhou Wang
Zhen Fang
Yonggang Zhang
Yifan Zhang
Shouqing Yang
Bo Han
OODD
405
50
0
03 Nov 2023
SmoothHess: ReLU Network Feature Interactions via Stein's Lemma
Neural Information Processing Systems (NeurIPS), 2023
Max Torop
A. Masoomi
Davin Hill
Kivanc Kose
Stratis Ioannidis
Jennifer Dy
336
7
0
01 Nov 2023
Classifier-head Informed Feature Masking and Prototype-based Logit Smoothing for Out-of-Distribution Detection
Zhuohao Sun
Yiqiao Qiu
Zhijun Tan
Weishi Zheng
Ruixuan Wang
OODD
234
8
0
27 Oct 2023
Bayesian Domain Invariant Learning via Posterior Generalization of Parameter Distributions
Shiyu Shen
Bin Pan
Tianyang Shi
Tao Li
Zhenwei Shi
BDL
OOD
304
1
0
25 Oct 2023
Contextualised Out-of-Distribution Detection using Pattern Identication
Romain Xu-Darme
Julien Girard-Satabin
Darryl Hond
Gabriele Incorvaia
Zakaria Chihani
OODD
206
0
0
24 Oct 2023
Open-World Lifelong Graph Learning
IEEE International Joint Conference on Neural Network (IJCNN), 2023
Marcel Hoffmann
Lukas Galke
A. Scherp
216
8
0
19 Oct 2023
Be Bayesian by Attachments to Catch More Uncertainty
Shiyu Shen
Bin Pan
Tianyang Shi
Tao Li
Zhenwei Shi
UQCV
318
0
0
19 Oct 2023
Unified Uncertainty Calibration
Kamalika Chaudhuri
David Lopez-Paz
294
0
0
02 Oct 2023
Deep Neural Networks Tend To Extrapolate Predictably
International Conference on Learning Representations (ICLR), 2023
Katie Kang
Amrith Rajagopal Setlur
Claire Tomlin
Sergey Levine
209
0
0
02 Oct 2023
On the Disconnect Between Theory and Practice of Neural Networks: Limits of the NTK Perspective
Jonathan Wenger
Felix Dangel
Agustinus Kristiadi
428
5
0
29 Sep 2023
A Primer on Bayesian Neural Networks: Review and Debates
Federico Danieli
Konstantinos Pitas
M. Vladimirova
Vincent Fortuin
BDL
AAML
275
35
0
28 Sep 2023
Unmasking the Chameleons: A Benchmark for Out-of-Distribution Detection in Medical Tabular Data
Mohammad Azizmalayeri
Ameen Abu-Hanna
Dirk Kraft
OOD
290
8
0
28 Sep 2023
Nearest Neighbor Guidance for Out-of-Distribution Detection
IEEE International Conference on Computer Vision (ICCV), 2023
Jaewoo Park
Yoon Gyo Jung
Andrew Beng Jin Teoh
OODD
265
58
0
26 Sep 2023
Dream the Impossible: Outlier Imagination with Diffusion Models
Neural Information Processing Systems (NeurIPS), 2023
Xuefeng Du
Yiyou Sun
Xiaojin Zhu
Shouqing Yang
313
86
0
23 Sep 2023
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