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Exploring the Limits of Out-of-Distribution Detection
Neural Information Processing Systems (NeurIPS), 2021
6 June 2021
Stanislav Fort
Jie Jessie Ren
Balaji Lakshminarayanan
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Papers citing
"Exploring the Limits of Out-of-Distribution Detection"
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Exploiting Inter-Sample Information for Long-tailed Out-of-Distribution Detection
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2025
Nimeshika Udayangani
H. M. Dolatabadi
S. Erfani
C. Leckie
OODD
391
0
0
20 Nov 2025
ClusterMine: Robust Label-Free Visual Out-Of-Distribution Detection via Concept Mining from Text Corpora
Nikolas Adaloglou
Diana Petrusheva
Mohamed Asker
Félix D. P. Michels
M. Kollmann
OODD
175
0
0
10 Nov 2025
Sparse, self-organizing ensembles of local kernels detect rare statistical anomalies
Gaia Grosso
Sai Sumedh R. Hindupur
Thomas Fel
Samuel Bright-Thonney
Philip Harris
Demba Ba
273
1
0
05 Nov 2025
Out-of-Distribution Detection for Safety Assurance of AI and Autonomous Systems
Victoria Hodge
Colin Paterson
Ibrahim Habli
114
0
0
24 Oct 2025
Dissecting Mahalanobis: How Feature Geometry and Normalization Shape OOD Detection
Denis Janiak
Jakub Binkowski
Tomasz Kajdanowicz
178
0
0
17 Oct 2025
Towards Adversarial Robustness and Uncertainty Quantification in DINOv2-based Few-Shot Anomaly Detection
Akib Mohammed Khan
Bartosz Krawczyk
AAML
137
0
0
15 Oct 2025
Towards Robust Artificial Intelligence: Self-Supervised Learning Approach for Out-of-Distribution Detection
ARES (ARES), 2025
Wissam Salhab
Darine Ameyed
Hamid Mcheick
Fehmi Jaafar
76
0
0
14 Oct 2025
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
366
0
0
07 Oct 2025
A Median Perspective on Unlabeled Data for Out-of-Distribution Detection
Momin Abbas
Ali Falahati
Hossein Goli
Mohammad Mohammadi Amiri
162
2
0
07 Oct 2025
POLAR: Automating Cyber Threat Prioritization through LLM-Powered Assessment
Luoxi Tang
Y. Meng
Ankita Patra
Weicheng Ma
Muchao Ye
Zhaohan Xi
96
0
0
02 Oct 2025
Unsupervised Domain Adaptation for Binary Classification with an Unobservable Source Subpopulation
Chao Ying
Jun Jin
H. Zhang
Qinglong Tian
Yanyuan Ma
Yixuan Li
Jiwei Zhao
OOD
304
0
0
24 Sep 2025
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
188
0
0
16 Sep 2025
Target-Oriented Single Domain Generalization
Marzi Heidari
Yuhong Guo
VLM
154
0
0
30 Aug 2025
Domain Generalization in-the-Wild: Disentangling Classification from Domain-Aware Representations
Ha Min Son
Zhe Zhao
Shahbaz Rezaei
Xin Liu
239
0
0
29 Aug 2025
Towards Open World Detection: A Survey
Andrei-Stefan Bulzan
Cosmin Cernazanu-Glavan
ObjD
VLM
217
0
0
22 Aug 2025
Out of Distribution Detection for Efficient Continual Learning in Quality Prediction for Arc Welding
Yannik Hahn
Jan Voets
Antonin Koenigsfeld
Hasan Tercan
Tobias Meisen
142
0
0
22 Aug 2025
BOOD: Boundary-based Out-Of-Distribution Data Generation
International Conference on Machine Learning (ICML), 2025
Qilin Liao
Shuo Yang
Bo Zhao
Ping Luo
Hengshuang Zhao
227
2
0
01 Aug 2025
Knowledge Regularized Negative Feature Tuning of Vision-Language Models for Out-of-Distribution Detection
Wenjie Zhu
Yabin Zhang
Xin Jin
Wenjun Zeng
Lei Zhang
265
0
0
26 Jul 2025
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
332
2
0
14 Jul 2025
Reliable Few-shot Learning under Dual Noises
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
Ji Zhang
Jingkuan Song
Lianli Gao
Andrii Zadaianchuk
Heng Tao Shen
NoLa
326
7
0
19 Jun 2025
A Variational Information Theoretic Approach to Out-of-Distribution Detection
Sudeepta Mondal
Zhuolin Jiang
G. Sundaramoorthi
197
2
0
17 Jun 2025
Mobi-
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: Mobilizing Your Robot Learning Policy
Jingyun Yang
Isabella Huang
Brandon Vu
Max Bajracharya
Rika Antonova
Jeannette Bohg
257
4
0
29 May 2025
Uncertainty Estimation for Heterophilic Graphs Through the Lens of Information Theory
Dominik Fuchsgruber
Tom Wollschlager
Johannes Bordne
Stephan Günnemann
216
1
0
28 May 2025
Are vision language models robust to uncertain inputs?
Xi Wang
Eric Nalisnick
AAML
VLM
424
1
0
17 May 2025
Open Set Domain Adaptation with Vision-language models via Gradient-aware Separation
Applied and Computational Engineering (ACE), 2025
Haoyang Chen
VLM
247
0
0
16 May 2025
Unsupervised Detection of Distribution Shift in Inverse Problems using Diffusion Models
Shirin Shoushtari
Edward P. Chandler
Yuanhao Wang
M. Salman Asif
Ulugbek S. Kamilov
DiffM
593
2
0
16 May 2025
Good Things Come in Pairs: Paired Autoencoders for Inverse Problems
Matthias Chung
Bas Peters
Michael Solomon
275
5
0
10 May 2025
Recent Advances in Out-of-Distribution Detection with CLIP-Like Models: A Survey
Chaohua Li
Enhao Zhang
Chuanxing Geng
Songcan Chen
OODD
VLM
285
4
0
05 May 2025
Can We Ignore Labels In Out of Distribution Detection?
International Conference on Learning Representations (ICLR), 2025
Hong Yang
Qi Yu
Travis Desel
OODD
282
1
0
20 Apr 2025
Enhancing Out-of-Distribution Detection with Extended Logit Normalization
Yifan Ding
Xixi Liu
Jonas Unger
Gabriel Eilertsen
OODD
347
2
0
15 Apr 2025
Benchmarking Post-Hoc Unknown-Category Detection in Food Recognition
Lubnaa Abdur Rahman
Ioannis Papathanail
Lorenzo Brigato
Stavroula Mougiakakou
224
0
0
24 Mar 2025
OT-DETECTOR: Delving into Optimal Transport for Zero-shot Out-of-Distribution Detection
International Joint Conference on Artificial Intelligence (IJCAI), 2025
Yu Liu
Hao Tang
Haiqi Zhang
Jing Qin
Hao Sun
OODD
468
2
0
09 Mar 2025
Language-Assisted Feature Transformation for Anomaly Detection
International Conference on Learning Representations (ICLR), 2025
EungGu Yun
Heonjin Ha
Yeongwoo Nam
Bryan Dongik Lee
442
2
0
03 Mar 2025
Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey
North American Chapter of the Association for Computational Linguistics (NAACL), 2024
Ruiyao Xu
Kaize Ding
406
18
0
17 Feb 2025
Out-of-Distribution Detection using Synthetic Data Generation
Momin Abbas
Muneeza Azmat
R. Horesh
Mikhail Yurochkin
OODD
561
2
0
05 Feb 2025
Scanning Trojaned Models Using Out-of-Distribution Samples
Hossein Mirzaei
Ali Ansari
Bahar Dibaei Nia
Mojtaba Nafez
Moein Madadi
...
Kian Shamsaie
Mahdi Hajialilue
Jafar Habibi
Mohammad Sabokrou
M. Rohban
OODD
383
5
0
28 Jan 2025
SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models
Shu Zou
Xinyu Tian
Qinyu Zhao
Zhaoyuan Yang
Jing Zhang
VLM
239
4
0
20 Jan 2025
Concept Matching with Agent for Out-of-Distribution Detection
YuXiao Lee
Xiaofeng Cao
Jingcai Guo
Wei Ye
Qing Guo
Yi Chang
320
0
0
08 Jan 2025
M-Tuning: Prompt Tuning with Mitigated Label Bias in Open-Set Scenarios
Ning Liao
Xiaopeng Zhang
Minglu Cao
Junchi Yan
VPVLM
VLM
651
1
0
31 Dec 2024
Your Data Is Not Perfect: Towards Cross-Domain Out-of-Distribution Detection in Class-Imbalanced Data
Expert systems with applications (ESWA), 2024
Xiang Fang
Arvind Easwaran
B. Genest
Ponnuthurai Nagaratnam Suganthan
454
33
0
09 Dec 2024
Enhancing Few-Shot Out-of-Distribution Detection with Gradient Aligned Context Optimization
Baoshun Tong
Kaiyu Song
Hanjiang Lai
OODD
230
1
0
24 Nov 2024
TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual Out-of-Distribution Detection
AAAI Conference on Artificial Intelligence (AAAI), 2024
Jiankang Chen
Tong Zhang
Wei-Shi Zheng
Ruixuan Wang
OODD
391
5
0
22 Nov 2024
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
395
0
0
04 Nov 2024
Joint Training for Selective Prediction
Zhaohui Li
Rebecca J. Passonneau
177
0
0
31 Oct 2024
Ño' Matters: Out-of-Distribution Detection in Multimodality Long Dialogue
Rena Gao
Xuetong Wu
Siwen Luo
Caren Han
Feng Liu
OODD
339
1
0
31 Oct 2024
PViT: Prior-augmented Vision Transformer for Out-of-distribution Detection
Tianhao Zhang
Zhixiang Chen
Lyudmila Mihaylova
761
3
0
27 Oct 2024
AdaNeg: Adaptive Negative Proxy Guided OOD Detection with Vision-Language Models
Neural Information Processing Systems (NeurIPS), 2024
Yabin Zhang
Guang Dai
VLM
OODD
231
14
0
26 Oct 2024
What If the Input is Expanded in OOD Detection?
Neural Information Processing Systems (NeurIPS), 2024
Boxuan Zhang
Jianing Zhu
Zengmao Wang
Tongliang Liu
Bo Du
Bo Han
AAML
OODD
373
7
0
24 Oct 2024
LLM-Assisted Red Teaming of Diffusion Models through "Failures Are Fated, But Can Be Faded"
Som Sagar
Aditya Taparia
Ransalu Senanayake
168
0
0
22 Oct 2024
Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation
Seulbi Lee
J. Kim
Sangheum Hwang
LRM
1.0K
3
0
19 Oct 2024
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