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Why ReLU networks yield high-confidence predictions far away from the
  training data and how to mitigate the problem

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
ArXivPDFHTML

Papers citing "Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem"

50 / 349 papers shown
Title
Advancing Constrained Monotonic Neural Networks: Achieving Universal Approximation Beyond Bounded Activations
Advancing Constrained Monotonic Neural Networks: Achieving Universal Approximation Beyond Bounded Activations
Davide Sartor
Alberto Sinigaglia
Gian Antonio Susto
32
0
0
05 May 2025
Ensemble Kalman filter for uncertainty in human language comprehension
Ensemble Kalman filter for uncertainty in human language comprehension
Diksha Bhandari
Alessandro Lopopolo
Milena Rabovsky
Sebastian Reich
BDL
UQLM
48
0
0
05 May 2025
Open-set Anomaly Segmentation in Complex Scenarios
Open-set Anomaly Segmentation in Complex Scenarios
Song Xia
Yi Yu
Henghui Ding
Wenhan Yang
S. Liu
Alex C. Kot
Xudong Jiang
DiffM
50
0
0
28 Apr 2025
TrojanDam: Detection-Free Backdoor Defense in Federated Learning through Proactive Model Robustification utilizing OOD Data
TrojanDam: Detection-Free Backdoor Defense in Federated Learning through Proactive Model Robustification utilizing OOD Data
Yanbo Dai
Songze Li
Zihan Gan
Xueluan Gong
AAML
FedML
35
0
0
22 Apr 2025
VibrantLeaves: A principled parametric image generator for training deep restoration models
VibrantLeaves: A principled parametric image generator for training deep restoration models
Raphaël Achddou
Y. Gousseau
Saïd Ladjal
Sabine Süsstrunk
26
0
0
14 Apr 2025
Prior2Former -- Evidential Modeling of Mask Transformers for Assumption-Free Open-World Panoptic Segmentation
Prior2Former -- Evidential Modeling of Mask Transformers for Assumption-Free Open-World Panoptic Segmentation
Sebastian Schmidt
Julius Körner
Dominik Fuchsgruber
Stefano Gasperini
F. Tombari
Stephan Günnemann
26
0
0
07 Apr 2025
EOOD: Entropy-based Out-of-distribution Detection
EOOD: Entropy-based Out-of-distribution Detection
Guide Yang
Chao Hou
Weilong Peng
Xiang Fang
Yongwei Nie
Peican Zhu
Keke Tang
OODD
49
0
0
04 Apr 2025
RUNA: Object-level Out-of-Distribution Detection via Regional Uncertainty Alignment of Multimodal Representations
RUNA: Object-level Out-of-Distribution Detection via Regional Uncertainty Alignment of Multimodal Representations
Bin Zhang
Jinggang Chen
Xiaoyang Qu
Guokuan Li
Kai Lu
Jiguang Wan
Jing Xiao
Jianzong Wang
ObjD
41
0
0
28 Mar 2025
Evaluating ASR Confidence Scores for Automated Error Detection in User-Assisted Correction Interfaces
Evaluating ASR Confidence Scores for Automated Error Detection in User-Assisted Correction Interfaces
Korbinian Kuhn
Verena Kersken
Gottfried Zimmermann
53
0
0
19 Mar 2025
HALO: Robust Out-of-Distribution Detection via Joint Optimisation
HALO: Robust Out-of-Distribution Detection via Joint Optimisation
Hugo Lyons Keenan
S. Erfani
Christopher Leckie
OODD
202
0
0
27 Feb 2025
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation
Danny Wang
Ruihong Qiu
Guangdong Bai
Zi Huang
99
0
0
09 Feb 2025
Concept Matching with Agent for Out-of-Distribution Detection
Concept Matching with Agent for Out-of-Distribution Detection
YuXiao Lee
Xiaofeng Cao
Jingcai Guo
Wei Ye
Qing-Wu Guo
Yi Chang
56
0
0
08 Jan 2025
Multi-layer Radial Basis Function Networks for Out-of-distribution Detection
Multi-layer Radial Basis Function Networks for Out-of-distribution Detection
Amol Khanna
Chenyi Ling
Derek Everett
Edward Raff
Nathan Inkawhich
OODD
28
0
0
05 Jan 2025
A novel framework for MCDM based on Z numbers and soft likelihood
  function
A novel framework for MCDM based on Z numbers and soft likelihood function
Yuanpeng He
41
0
0
26 Dec 2024
A Robust Prototype-Based Network with Interpretable RBF Classifier Foundations
A Robust Prototype-Based Network with Interpretable RBF Classifier Foundations
S. Saralajew
Ashish Rana
T. Villmann
Ammar Shaker
OOD
82
1
0
20 Dec 2024
Reject Threshold Adaptation for Open-Set Model Attribution of Deepfake
  Audio
Reject Threshold Adaptation for Open-Set Model Attribution of Deepfake Audio
Xinrui Yan
Jiangyan Yi
J. Tao
Yujie Chen
Hao Gu
Guanjun Li
Junzuo Zhou
Yong Ren
Tao Xu
71
0
0
02 Dec 2024
TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual
  Out-of-Distribution Detection
TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual Out-of-Distribution Detection
Jiankang Chen
Tong Zhang
Wei-Shi Zheng
Ruixuan Wang
OODD
109
2
0
22 Nov 2024
Variational Bayesian Bow tie Neural Networks with Shrinkage
Alisa Sheinkman
Sara Wade
BDL
UQCV
37
0
0
17 Nov 2024
Energy Score-based Pseudo-Label Filtering and Adaptive Loss for
  Imbalanced Semi-supervised SAR target recognition
Energy Score-based Pseudo-Label Filtering and Adaptive Loss for Imbalanced Semi-supervised SAR target recognition
Xinzheng Zhang
Yuqing Luo
Guopeng Li
29
0
0
06 Nov 2024
DSDE: Using Proportion Estimation to Improve Model Selection for
  Out-of-Distribution Detection
DSDE: Using Proportion Estimation to Improve Model Selection for Out-of-Distribution Detection
Jingyao Geng
Yuan Zhang
Jiaqi Huang
Feng Xue
Falong Tan
Chuanlong Xie
Shumei Zhang
OODD
41
0
0
03 Nov 2024
Generative Example-Based Explanations: Bridging the Gap between
  Generative Modeling and Explainability
Generative Example-Based Explanations: Bridging the Gap between Generative Modeling and Explainability
Philipp Vaeth
Alexander M. Fruehwald
Benjamin Paassen
Magda Gregorova
GAN
20
0
0
28 Oct 2024
Rethinking the Uncertainty: A Critical Review and Analysis in the Era of
  Large Language Models
Rethinking the Uncertainty: A Critical Review and Analysis in the Era of Large Language Models
Mohammad Beigi
Sijia Wang
Ying Shen
Zihao Lin
Adithya Kulkarni
...
Ming Jin
Jin-Hee Cho
Dawei Zhou
Chang-Tien Lu
Lifu Huang
21
1
0
26 Oct 2024
AHA: Human-Assisted Out-of-Distribution Generalization and Detection
AHA: Human-Assisted Out-of-Distribution Generalization and Detection
Haoyue Bai
Jifan Zhang
Robert Nowak
30
6
0
10 Oct 2024
Uncertainty estimation via ensembles of deep learning models and dropout
  layers for seismic traces
Uncertainty estimation via ensembles of deep learning models and dropout layers for seismic traces
Giovanni Messuti
ortensia Amoroso
Ferdinando Napolitano
Mariarosaria Falanga
Paolo Capuano
Silvia Scarpetta
UQCV
13
0
0
08 Oct 2024
Impact of Regularization on Calibration and Robustness: from the
  Representation Space Perspective
Impact of Regularization on Calibration and Robustness: from the Representation Space Perspective
Jonghyun Park
Juyeop Kim
Jong-Seok Lee
23
1
0
05 Oct 2024
Recent Advances in OOD Detection: Problems and Approaches
Recent Advances in OOD Detection: Problems and Approaches
Shuo Lu
YingSheng Wang
Lijun Sheng
Aihua Zheng
Lingxiao He
Jian Liang
OODD
62
3
0
18 Sep 2024
Calibration of Network Confidence for Unsupervised Domain Adaptation
  Using Estimated Accuracy
Calibration of Network Confidence for Unsupervised Domain Adaptation Using Estimated Accuracy
Coby Penso
Jacob Goldberger
27
0
0
06 Sep 2024
Better Verified Explanations with Applications to Incorrectness and
  Out-of-Distribution Detection
Better Verified Explanations with Applications to Incorrectness and Out-of-Distribution Detection
Min Wu
Xiaofu Li
Haoze Wu
Clark Barrett
30
0
0
04 Sep 2024
Representation Norm Amplification for Out-of-Distribution Detection in
  Long-Tail Learning
Representation Norm Amplification for Out-of-Distribution Detection in Long-Tail Learning
Dong Geun Shin
Hye Won Chung
OODD
24
0
0
20 Aug 2024
Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to
  Tail
Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to Tail
Yina He
Lei Peng
Yongcun Zhang
Juanjuan Weng
Zhiming Luo
Shaozi Li
OODD
32
0
0
13 Aug 2024
Your Classifier Can Be Secretly a Likelihood-Based OOD Detector
Your Classifier Can Be Secretly a Likelihood-Based OOD Detector
Jirayu Burapacheep
Yixuan Li
OODD
32
3
0
09 Aug 2024
Combine and Conquer: A Meta-Analysis on Data Shift and
  Out-of-Distribution Detection
Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection
Eduardo Dadalto
F. Alberge
Pierre Duhamel
Pablo Piantanida
OODD
43
0
0
23 Jun 2024
What Does Softmax Probability Tell Us about Classifiers Ranking Across
  Diverse Test Conditions?
What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions?
Weijie Tu
Weijian Deng
Liang Zheng
Tom Gedeon
32
0
0
14 Jun 2024
Batch-in-Batch: a new adversarial training framework for initial
  perturbation and sample selection
Batch-in-Batch: a new adversarial training framework for initial perturbation and sample selection
Yinting Wu
Pai Peng
Bo Cai
Le Li
.
AAML
29
0
0
06 Jun 2024
Evidentially Calibrated Source-Free Time-Series Domain Adaptation with
  Temporal Imputation
Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputation
Mohamed Ragab
Peiliang Gong
Emadeldeen Eldele
Wenyu Zhang
Min-man Wu
Chuan-Sheng Foo
Daoqiang Zhang
Xiaoli Li
Zhenghua Chen
TTA
AI4TS
40
2
0
04 Jun 2024
Zero-Shot Out-of-Distribution Detection with Outlier Label Exposure
Zero-Shot Out-of-Distribution Detection with Outlier Label Exposure
Choubo Ding
Guansong Pang
OODD
VLM
25
3
0
03 Jun 2024
When and How Does In-Distribution Label Help Out-of-Distribution
  Detection?
When and How Does In-Distribution Label Help Out-of-Distribution Detection?
Xuefeng Du
Yiyou Sun
Yixuan Li
27
7
0
28 May 2024
Transitional Uncertainty with Layered Intermediate Predictions
Transitional Uncertainty with Layered Intermediate Predictions
Ryan Benkert
M. Prabhushankar
Ghassan AlRegib
32
1
0
25 May 2024
Mitigating Overconfidence in Out-of-Distribution Detection by Capturing
  Extreme Activations
Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations
Mohammad Azizmalayeri
Ameen Abu-Hanna
Giovanni Cina
OODD
38
1
0
21 May 2024
How to train your ViT for OOD Detection
How to train your ViT for OOD Detection
Maximilian Mueller
Matthias Hein
18
0
0
21 May 2024
Out-of-distribution detection based on subspace projection of
  high-dimensional features output by the last convolutional layer
Out-of-distribution detection based on subspace projection of high-dimensional features output by the last convolutional layer
Qiuyu Zhu
Yiwei He
OODD
19
1
0
02 May 2024
Out-of-distribution Detection in Medical Image Analysis: A survey
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
34
5
0
28 Apr 2024
Pearls from Pebbles: Improved Confidence Functions for Auto-labeling
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
40
2
0
24 Apr 2024
Gradient-Regularized Out-of-Distribution Detection
Gradient-Regularized Out-of-Distribution Detection
Sina Sharifi
Taha Entesari
Bardia Safaei
Vishal M. Patel
Mahyar Fazlyab
OODD
24
4
0
18 Apr 2024
Toward a Realistic Benchmark for Out-of-Distribution Detection
Toward a Realistic Benchmark for Out-of-Distribution Detection
Pietro Recalcati
Fabio Garcea
Luca Piano
Fabrizio Lamberti
Lia Morra
OODD
34
1
0
16 Apr 2024
Out-of-Distribution Data: An Acquaintance of Adversarial Examples -- A
  Survey
Out-of-Distribution Data: An Acquaintance of Adversarial Examples -- A Survey
Naveen Karunanayake
Ravin Gunawardena
Suranga Seneviratne
Sanjay Chawla
OOD
38
5
0
08 Apr 2024
Hyperbolic Metric Learning for Visual Outlier Detection
Hyperbolic Metric Learning for Visual Outlier Detection
Alvaro Gonzalez-Jimenez
Simone Lionetti
Dena Bazazian
Philippe Gottfrois
Fabian Gröger
M. Pouly
A. Navarini
51
1
0
22 Mar 2024
LoMOE: Localized Multi-Object Editing via Multi-Diffusion
LoMOE: Localized Multi-Object Editing via Multi-Diffusion
Goirik Chakrabarty
Aditya Chandrasekar
Ramya Hebbalaguppe
AP Prathosh
DiffM
48
6
0
01 Mar 2024
Trustworthy Personalized Bayesian Federated Learning via Posterior
  Fine-Tune
Trustworthy Personalized Bayesian Federated Learning via Posterior Fine-Tune
Mengen Luo
Chi Xu
E. Kuruoglu
FedML
23
0
0
25 Feb 2024
Towards Trustworthy Reranking: A Simple yet Effective Abstention
  Mechanism
Towards Trustworthy Reranking: A Simple yet Effective Abstention Mechanism
Hippolyte Gisserot-Boukhlef
Manuel Faysse
Emmanuel Malherbe
C´eline Hudelot
Pierre Colombo
32
2
0
20 Feb 2024
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