ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1812.05720
  4. Cited By
Why ReLU networks yield high-confidence predictions far away from the
  training data and how to mitigate the problem
v1v2 (latest)

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
ArXiv (abs)PDFHTML

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

50 / 365 papers shown
Title
Perturbations in the Orthogonal Complement Subspace for Efficient Out-of-Distribution Detection
Perturbations in the Orthogonal Complement Subspace for Efficient Out-of-Distribution Detection
Zhexiao Huang
Weihao He
Shutao Deng
Junzhe Chen
Chao Yuan
Hongxin Wang
Changsheng Zhou
OODD
238
0
0
02 Nov 2025
Ensembling Pruned Attention Heads For Uncertainty-Aware Efficient Transformers
Ensembling Pruned Attention Heads For Uncertainty-Aware Efficient Transformers
Firas Gabetni
Giuseppe Curci
Andrea Pilzer
Subhankar Roy
Elisa Ricci
Gianni Franchi
92
0
0
21 Oct 2025
A Median Perspective on Unlabeled Data for Out-of-Distribution Detection
A Median Perspective on Unlabeled Data for Out-of-Distribution Detection
Momin Abbas
Ali Falahati
Hossein Goli
Mohammad Mohammadi Amiri
140
1
0
07 Oct 2025
Latent Uncertainty Representations for Video-based Driver Action and Intention Recognition
Latent Uncertainty Representations for Video-based Driver Action and Intention Recognition
Koen Vellenga
H. Steinhauer
Jonas Andersson
Anders Sjögren
99
0
0
06 Oct 2025
Smoothing-Based Conformal Prediction for Balancing Efficiency and Interpretability
Smoothing-Based Conformal Prediction for Balancing Efficiency and Interpretability
Mingyi Zheng
Hongyu Jiang
Yizhou Lu
Jiaye Teng
103
0
0
26 Sep 2025
Marching Neurons: Accurate Surface Extraction for Neural Implicit Shapes
Marching Neurons: Accurate Surface Extraction for Neural Implicit Shapes
Christian Stippel
Felix Mujkanovic
Thomas Leimkuhler
Pedro Hermosilla
3DV
80
0
0
25 Sep 2025
Graph Enhanced Trajectory Anomaly Detection
Graph Enhanced Trajectory Anomaly Detection
Jonathan Mbuya
Dieter Pfoser
Antonios Anastasopoulos
88
0
0
22 Sep 2025
Contrastive Learning with Enhanced Abstract Representations using Grouped Loss of Abstract Semantic Supervision
Contrastive Learning with Enhanced Abstract Representations using Grouped Loss of Abstract Semantic Supervision
Omri Suissa
Muhiim Ali
Shengmai Chen
Yinuo Cai
Shekhar Pradhan
VLM
168
0
0
16 Sep 2025
An Empirical Analysis of VLM-based OOD Detection: Mechanisms, Advantages, and Sensitivity
An Empirical Analysis of VLM-based OOD Detection: Mechanisms, Advantages, and Sensitivity
YuXiao Lee
Xiaofeng Cao
Wei Ye
Jiangchao Yao
Jingkuan Song
Heng Tao Shen
MLLM
140
0
0
16 Sep 2025
Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection
Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection
YingSheng Wang
Shuo Lu
Jian Liang
A. Zheng
Ran He
OODD
174
0
0
02 Sep 2025
Multi-Method Ensemble for Out-of-Distribution Detection
Multi-Method Ensemble for Out-of-Distribution Detection
Lucas Rakotoarivony
OODD
136
0
0
29 Aug 2025
Calibrated and uncertain? Evaluating uncertainty estimates in binary classification models
Calibrated and uncertain? Evaluating uncertainty estimates in binary classification models
Aurora Grefsrud
Nello Blaser
Trygve Buanes
UQCV
74
0
0
15 Aug 2025
Coward: Toward Practical Proactive Federated Backdoor Defense via Collision-based Watermark
Coward: Toward Practical Proactive Federated Backdoor Defense via Collision-based Watermark
Wenjie Li
Siying Gu
Yiming Li
Kangjie Chen
Zhili Chen
Tianwei Zhang
Shu-Tao Xia
Dacheng Tao
AAML
110
1
0
04 Aug 2025
Uncertainty-Aware Likelihood Ratio Estimation for Pixel-Wise Out-of-Distribution Detection
Uncertainty-Aware Likelihood Ratio Estimation for Pixel-Wise Out-of-Distribution Detection
Marc Hölle
Walter Kellermann
Vasileios Belagiannis
OODDUQCV
146
0
0
01 Aug 2025
Posterior Contraction for Sparse Neural Networks in Besov Spaces with Intrinsic Dimensionality
Posterior Contraction for Sparse Neural Networks in Besov Spaces with Intrinsic Dimensionality
Kyeongwon Lee
Lizhen Lin
Jaewoo Park
Seonghyun Jeong
94
0
0
23 Jun 2025
Improving Out-of-Distribution Detection via Dynamic Covariance Calibration
Improving Out-of-Distribution Detection via Dynamic Covariance Calibration
Kaiyu Guo
Zijian Wang
Tan Pan
Brian C. Lovell
Mahsa Baktashmotlagh
OODD
316
0
0
11 Jun 2025
Mahalanobis++: Improving OOD Detection via Feature Normalization
Mahalanobis++: Improving OOD Detection via Feature Normalization
Maximilian Mueller
Matthias Hein
OODD
264
6
0
23 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
BDLUQLM
308
0
0
05 May 2025
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
346
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
Shixuan Liu
Alex C. Kot
Xudong Jiang
DiffM
203
1
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
AAMLFedML
155
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
191
1
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
291
2
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
380
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 RepresentationsAAAI Conference on Artificial Intelligence (AAAI), 2025
Bin Zhang
Jinggang Chen
Xiaoyang Qu
Guokuan Li
Kai Lu
Jiguang Wan
Jing Xiao
Jianzong Wang
ObjD
207
1
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
210
1
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
452
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 GenerationInternational Conference on Learning Representations (ICLR), 2025
Danny Wang
Ruihong Qiu
Guangdong Bai
Zi Huang
805
11
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 Guo
Yi Chang
272
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
265
1
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
172
2
0
26 Dec 2024
A Robust Prototype-Based Network with Interpretable RBF Classifier Foundations
A Robust Prototype-Based Network with Interpretable RBF Classifier FoundationsAAAI Conference on Artificial Intelligence (AAAI), 2024
S. Saralajew
Ashish Rana
T. Villmann
Ammar Shaker
OOD
404
4
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 AudioInternational Symposium on Chinese Spoken Language Processing (ISCSLP), 2024
Xinrui Yan
Jiangyan Yi
Jianhua Tao
Yujie Chen
Hao Gu
Guanjun Li
Junzuo Zhou
Yong Ren
Tao Xu
246
2
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 DetectionAAAI Conference on Artificial Intelligence (AAAI), 2024
Jiankang Chen
Tong Zhang
Wei-Shi Zheng
Ruixuan Wang
OODD
351
5
0
22 Nov 2024
Variational Bayesian Bow tie Neural Networks with Shrinkage
Alisa Sheinkman
Sara Wade
BDLUQCV
320
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
106
0
0
06 Nov 2024
Double Descent Meets Out-of-Distribution Detection: Theoretical Insights and Empirical Analysis on the role of model complexity
Double Descent Meets Out-of-Distribution Detection: Theoretical Insights and Empirical Analysis on the role of model complexity
Mouin Ben Ammar
David Brellmann
Arturo Mendoza
Antoine Manzanera
Gianni Franchi
OODD
264
0
0
04 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
175
1
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
236
1
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
232
3
0
26 Oct 2024
AHA: Human-Assisted Out-of-Distribution Generalization and Detection
AHA: Human-Assisted Out-of-Distribution Generalization and DetectionNeural Information Processing Systems (NeurIPS), 2024
Haoyue Bai
Jifan Zhang
Robert Nowak
394
7
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 tracesItalian Workshop on Neural Nets (INN), 2024
Giovanni Messuti
ortensia Amoroso
Ferdinando Napolitano
Mariarosaria Falanga
Paolo Capuano
Silvia Scarpetta
UQCV
60
2
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
217
1
0
05 Oct 2024
Out-of-Distribution Detection: A Task-Oriented Survey of Recent Advances
Out-of-Distribution Detection: A Task-Oriented Survey of Recent Advances
Shuo Lu
YingSheng Wang
Lijun Sheng
Lingxiao He
A. Zheng
Jian Liang
OODD
458
7
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
212
0
0
06 Sep 2024
Efficiently Computing Compact Formal Explanations
Efficiently Computing Compact Formal Explanations
Min Wu
Xiaofu Li
Haoze Wu
Clark W. Barrett
141
1
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
272
3
0
20 Aug 2024
Out-of-Distribution Learning with Human Feedback
Out-of-Distribution Learning with Human Feedback
Haoyue Bai
Xuefeng Du
Katie Rainey
Shibin Parameswaran
Yixuan Li
OODD
202
6
0
14 Aug 2024
Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to
  Tail
Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to TailAAAI Conference on Artificial Intelligence (AAAI), 2024
Yina He
Lei Peng
Yongcun Zhang
Juanjuan Weng
Shaozi Li
Shaozi Li
OODD
287
3
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
148
5
0
09 Aug 2024
12345678
Next