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  3. OODD

Out-of-Distribution Detection

OODD
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Identifies inputs that differ from the training data distribution. Enhances model safety and reliability in real-world applications.

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Featured Papers

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50 / 863 papers shown
Title
Aggregation Hides Out-of-Distribution Generalization Failures from Spurious Correlations
Aggregation Hides Out-of-Distribution Generalization Failures from Spurious Correlations
Olawale Salaudeen
Haoran Zhang
Kumail Alhamoud
Sara Beery
Marzyeh Ghassemi
OODD
52
0
0
28 Oct 2025
DEEDEE: Fast and Scalable Out-of-Distribution Dynamics Detection
DEEDEE: Fast and Scalable Out-of-Distribution Dynamics Detection
Tala Aljaafari
Varun Kanade
Philip Torr
Christian Schroeder de Witt
OODDOffRL
40
0
0
24 Oct 2025
Distributionally Robust Feature Selection
Distributionally Robust Feature Selection
Maitreyi Swaroop
Tamar Krishnamurti
Bryan Wilder
OODD
46
0
0
24 Oct 2025
Revisiting Logit Distributions for Reliable Out-of-Distribution Detection
Revisiting Logit Distributions for Reliable Out-of-Distribution Detection
Jiachen Liang
Ruibing Hou
Minyang Hu
Hong Chang
Shiguang Shan
Xilin Chen
OODD
53
0
0
23 Oct 2025
Learning from the Best, Differently: A Diversity-Driven Rethinking on Data Selection
Learning from the Best, Differently: A Diversity-Driven Rethinking on Data Selection
Hongyi He
Xiao Liu
Zhenghao Lin
Mingni Tang
Y. Cheng
Jintao Wang
W. Li
Peng Cheng
Yeyun Gong
OODD
36
0
0
21 Oct 2025
Benchmarking Out-of-Distribution Detection for Plankton Recognition: A Systematic Evaluation of Advanced Methods in Marine Ecological Monitoring
Benchmarking Out-of-Distribution Detection for Plankton Recognition: A Systematic Evaluation of Advanced Methods in Marine Ecological Monitoring
Yingzi Han
Jiakai He
Chuanlong Xie
Jianping Li
OODD
0
0
0
20 Oct 2025
Redundancy-Aware Test-Time Graph Out-of-Distribution Detection
Redundancy-Aware Test-Time Graph Out-of-Distribution Detection
Yue Hou
He Zhu
Ruomei Liu
Yingke Su
Junran Wu
Ke Xu
OODD
44
0
0
16 Oct 2025
Local Background Features Matter in Out-of-Distribution Detection
Local Background Features Matter in Out-of-Distribution Detection
Jinlun Ye
Zhuohao Sun
Yiqiao Qiu
Qiu Li
Zhijun Tan
Ruixuan Wang
OODD
40
0
0
14 Oct 2025
Equipping Vision Foundation Model with Mixture of Experts for Out-of-Distribution Detection
Equipping Vision Foundation Model with Mixture of Experts for Out-of-Distribution Detection
Shizhen Zhao
Jiahui Liu
Xin Wen
Haoru Tan
Xiaojuan Qi
OODDVLM
45
0
0
12 Oct 2025
Out-of-Distribution Generalization in Climate-Aware Yield Prediction with Earth Observation Data
Out-of-Distribution Generalization in Climate-Aware Yield Prediction with Earth Observation Data
Aditya Chakravarty
OODD
92
29
0
08 Oct 2025
Spectrum Tuning: Post-Training for Distributional Coverage and In-Context Steerability
Spectrum Tuning: Post-Training for Distributional Coverage and In-Context Steerability
Taylor Sorensen
Benjamin Newman
Jared Moore
Chan Young Park
Jillian R. Fisher
Niloofar Mireshghallah
L. Jiang
Yejin Choi
OODD
32
2
0
07 Oct 2025
Human Texts Are Outliers: Detecting LLM-generated Texts via Out-of-distribution Detection
Human Texts Are Outliers: Detecting LLM-generated Texts via Out-of-distribution Detection
Cong Zeng
Shengkun Tang
Yuanzhou Chen
Zhiqiang Shen
Wenchao Yu
Xujiang Zhao
H. Chen
Wei Cheng
zhiqiang xu
DeLMOOODD
40
1
0
07 Oct 2025
Mysteries of the Deep: Role of Intermediate Representations in Out of Distribution Detection
Mysteries of the Deep: Role of Intermediate Representations in Out of Distribution Detection
I. M. De la Jara
C. Rodriguez-Opazo
D. Teney
D. Ranasinghe
E. Abbasnejad
OODD
93
0
0
07 Oct 2025
Causally Guided Gaussian Perturbations for Out-Of-Distribution Generalization in Medical Imaging
Causally Guided Gaussian Perturbations for Out-Of-Distribution Generalization in Medical Imaging
Haoran Pei
Yuguang Yang
Kexin Liu
Baochang Zhang
OODOODDCMLMedIm
25
0
0
30 Sep 2025
ResAD++: Towards Class Agnostic Anomaly Detection via Residual Feature Learning
ResAD++: Towards Class Agnostic Anomaly Detection via Residual Feature Learning
Xincheng Yao
Chao Shi
Muming Zhao
Guangtao Zhai
Chongyang Zhang
OODD
16
0
0
28 Sep 2025
Factor Decorrelation Enhanced Data Removal from Deep Predictive Models
Factor Decorrelation Enhanced Data Removal from Deep Predictive Models
Wenhao Yang
Lin Li
Xiaohui Tao
Kaize Shi
OODD
40
0
0
27 Sep 2025
Long-Tailed Out-of-Distribution Detection with Refined Separate Class Learning
Long-Tailed Out-of-Distribution Detection with Refined Separate Class Learning
Shuai Feng
Yuxin Ge
Yuntao Du
Mingcai Chen
Chongjun Wang
Lei Feng
OODD
111
0
0
21 Sep 2025
On the Out-of-Distribution Backdoor Attack for Federated Learning
On the Out-of-Distribution Backdoor Attack for Federated Learning
Jiahao Xu
Zikai Zhang
Rui Hu
OODDAAML
84
0
0
16 Sep 2025
Deceptive Risk Minimization: Out-of-Distribution Generalization by Deceiving Distribution Shift Detectors
Deceptive Risk Minimization: Out-of-Distribution Generalization by Deceiving Distribution Shift Detectors
Anirudha Majumdar
OODDOOD
29
0
0
15 Sep 2025
Logit Mixture Outlier Exposure for Fine-grained Out-of-Distribution Detection
Logit Mixture Outlier Exposure for Fine-grained Out-of-Distribution Detection
Akito Shinohara
Kohei Fukuda
Hiroaki Aizawa
OODD
38
0
0
15 Sep 2025
Prompt Optimization Meets Subspace Representation Learning for Few-shot Out-of-Distribution Detection
Prompt Optimization Meets Subspace Representation Learning for Few-shot Out-of-Distribution Detection
Faizul Rakib Sayem
Shahana Ibrahim
OODDVLM
71
0
0
09 Sep 2025
ACE and Diverse Generalization via Selective Disagreement
ACE and Diverse Generalization via Selective Disagreement
Oliver Daniels
Stuart Armstrong
Alexandre Maranhao
Mahirah Fairuz Rahman
Benjamin M. Marlin
Rebecca Gorman
OODD
78
0
0
09 Sep 2025
Tackling the Noisy Elephant in the Room: Label Noise-robust Out-of-Distribution Detection via Loss Correction and Low-rank Decomposition
Tackling the Noisy Elephant in the Room: Label Noise-robust Out-of-Distribution Detection via Loss Correction and Low-rank Decomposition
Tarhib Al Azad
Shahana Ibrahim
OODD
20
0
0
08 Sep 2025
DCV-ROOD Evaluation Framework: Dual Cross-Validation for Robust Out-of-Distribution Detection
DCV-ROOD Evaluation Framework: Dual Cross-Validation for Robust Out-of-Distribution Detection
Arantxa Urrea-Castaño
Nicolás Segura-Kunsagi
Juan Luis Suárez-Díaz
Rosana Montes
F. Herrera
OODD
49
0
0
06 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
74
0
0
02 Sep 2025
Activation Subspaces for Out-of-Distribution Detection
Activation Subspaces for Out-of-Distribution Detection
Barış Zöngür
Robin Hesse
Stefan Roth
OODD
40
0
0
29 Aug 2025
Multi-Method Ensemble for Out-of-Distribution Detection
Multi-Method Ensemble for Out-of-Distribution Detection
Lucas Rakotoarivony
OODD
48
0
0
29 Aug 2025
ERIS: An Energy-Guided Feature Disentanglement Framework for Out-of-Distribution Time Series Classification
ERIS: An Energy-Guided Feature Disentanglement Framework for Out-of-Distribution Time Series Classification
Xin Wu
Fei Teng
Ji Zhang
Xingwang Li
Yuxuan Liang
OODD
117
0
0
19 Aug 2025
2COOOL: 2nd Workshop on the Challenge Of Out-Of-Label Hazards in Autonomous Driving
2COOOL: 2nd Workshop on the Challenge Of Out-Of-Label Hazards in Autonomous Driving
Ali AlShami
Ryan Rabinowitz
Maged Shoman
Jianwu Fang
Lukas Picek
...
Khang Nhut Lam
Nachiket Kamod
Lei-lei Li
Jugal Kalita
Terrance Boult
OODD
72
0
0
18 Aug 2025
M3OOD: Automatic Selection of Multimodal OOD Detectors
M3OOD: Automatic Selection of Multimodal OOD Detectors
Yuehan Qin
Li Li
Defu Cao
Tiankai Yang
Yue Zhao
OODD
72
0
0
16 Aug 2025
Out-of-Distribution Detection using Counterfactual Distance
Out-of-Distribution Detection using Counterfactual Distance
Maria Stoica
Francesco Leofante
Alessio Lomuscio
OODD
52
0
0
13 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
66
0
0
01 Aug 2025
COOkeD: Ensemble-based OOD detection in the era of zero-shot CLIP
COOkeD: Ensemble-based OOD detection in the era of zero-shot CLIP
Galadrielle Humblot-Renaux
Gianni Franchi
Sergio Escalera
T. Moeslund
VLMOODOODD
73
0
0
30 Jul 2025
Handling Out-of-Distribution Data: A Survey
Handling Out-of-Distribution Data: A SurveyIEEE Transactions on Knowledge and Data Engineering (TKDE), 2025
L. Tamang
Mohamed Reda Bouadjenek
Richard Dazeley
S. Aryal
OODOODD
96
2
0
25 Jul 2025
Steering Out-of-Distribution Generalization with Concept Ablation Fine-Tuning
Steering Out-of-Distribution Generalization with Concept Ablation Fine-Tuning
Helena Casademunt
Caden Juang
Adam Karvonen
Samuel Marks
Senthooran Rajamanoharan
Neel Nanda
OODDLLMSV
81
7
0
22 Jul 2025
Synthesizing Near-Boundary OOD Samples for Out-of-Distribution Detection
Synthesizing Near-Boundary OOD Samples for Out-of-Distribution Detection
Jinglun Li
Kaixun Jiang
Zhaoyu Chen
Bo Lin
Yao Tang
Weifeng Ge
Wenqiang Zhang
OODD
194
0
0
14 Jul 2025
Feature Bank Enhancement for Distance-based Out-of-Distribution Detection
Feature Bank Enhancement for Distance-based Out-of-Distribution Detection
Yuhang Liu
Yuefei Wu
Bin Shi
Bo Dong
OODD
68
0
0
11 Jul 2025
FA: Forced Prompt Learning of Vision-Language Models for Out-of-Distribution Detection
FA: Forced Prompt Learning of Vision-Language Models for Out-of-Distribution Detection
Xinhua Lu
Runhe Lai
Yanqi Wu
Kanghao Chen
Wei-Shi Zheng
Ruixuan Wang
OODDVPVLMVLM
60
1
0
06 Jul 2025
Out-of-Distribution Detection Methods Answer the Wrong Questions
Out-of-Distribution Detection Methods Answer the Wrong Questions
Yucen Lily Li
Daohan Lu
Polina Kirichenko
Shikai Qiu
Tim G. J. Rudner
C. Bayan Bruss
Andrew Gordon Wilson
OODOODD
38
3
0
02 Jul 2025
Distributed Training under Packet Loss
Distributed Training under Packet Loss
Erez Weintraub
Ron Banner
Ariel Orda
OODD
29
0
0
02 Jul 2025
Gradient Short-Circuit: Efficient Out-of-Distribution Detection via Feature Intervention
Gradient Short-Circuit: Efficient Out-of-Distribution Detection via Feature Intervention
Jiawei Gu
Ziyue Qiao
Zechao Li
OODD
92
1
0
02 Jul 2025
Detecting What Matters: A Novel Approach for Out-of-Distribution 3D Object Detection in Autonomous Vehicles
Detecting What Matters: A Novel Approach for Out-of-Distribution 3D Object Detection in Autonomous Vehicles
Menna Taha
Aya Ahmed
Mohammed Karmoose
Yasser Gadallah
OODD
23
0
0
01 Jul 2025
Out-of-Distribution Detection with Adaptive Top-K Logits Integration
Out-of-Distribution Detection with Adaptive Top-K Logits Integration
Hikaru Shijo
Yutaka Yoshihama
Kenichi Yadani
Norifumi Murata
OODD
28
0
0
01 Jul 2025
Out-of-distribution detection in 3D applications: a review
Out-of-distribution detection in 3D applications: a review
Zizhao Li
Xueyang Kang
Joseph West
Kourosh Khoshelham
OODD
36
1
0
01 Jul 2025
Spurious-Aware Prototype Refinement for Reliable Out-of-Distribution Detection
Spurious-Aware Prototype Refinement for Reliable Out-of-Distribution Detection
Reihaneh Zohrabi
Hosein Hasani
M. Baghshah
Anna Rohrbach
Marcus Rohrbach
M. Rohban
OODD
86
1
0
30 Jun 2025
SODA: Out-of-Distribution Detection in Domain-Shifted Point Clouds via Neighborhood Propagation
SODA: Out-of-Distribution Detection in Domain-Shifted Point Clouds via Neighborhood Propagation
Adam Goodge
Xun Xu
Bryan Hooi
Wee Siong Ng
Jingyi Liao
Yongyi Su
Xulei Yang
OODD
43
0
0
27 Jun 2025
Generative Adversarial Evasion and Out-of-Distribution Detection for UAV Cyber-Attacks
Generative Adversarial Evasion and Out-of-Distribution Detection for UAV Cyber-Attacks
Deepak Kumar Panda
Weisi Guo
AAMLOODD
64
1
0
26 Jun 2025
DiMPLe -- Disentangled Multi-Modal Prompt Learning: Enhancing Out-Of-Distribution Alignment with Invariant and Spurious Feature Separation
DiMPLe -- Disentangled Multi-Modal Prompt Learning: Enhancing Out-Of-Distribution Alignment with Invariant and Spurious Feature Separation
Umaima Rahman
Mohammad Yaqub
Dwarikanath Mahapatra
OODDVLM
33
2
0
26 Jun 2025
Adaptive Multi-prompt Contrastive Network for Few-shot Out-of-distribution Detection
Adaptive Multi-prompt Contrastive Network for Few-shot Out-of-distribution Detection
Xiang Fang
Arvind Easwaran
Blaise Genest
OODD
20
1
0
21 Jun 2025
LAION-C: An Out-of-Distribution Benchmark for Web-Scale Vision Models
LAION-C: An Out-of-Distribution Benchmark for Web-Scale Vision Models
Fanfei Li
Thomas Klein
Wieland Brendel
Robert Geirhos
Roland S. Zimmermann
OODD
119
3
0
20 Jun 2025
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