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2203.04450
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How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?
International Conference on Learning Representations (ICLR), 2022
8 March 2022
Yifei Ming
Yiyou Sun
Ousmane Amadou Dia
Shouqing Yang
OODD
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Github (61★)
Papers citing
"How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?"
47 / 47 papers shown
Fewer Tokens, Greater Scaling: Self-Adaptive Visual Bases for Efficient and Expansive Representation Learning
Shawn Young
Xingyu Zeng
Lijian Xu
VLM
134
7
0
24 Nov 2025
BootOOD: Self-Supervised Out-of-Distribution Detection via Synthetic Sample Exposure under Neural Collapse
Yuanchao Wang
Tian Qin
Eduardo Valle
Bruno Abrahao
OODD
365
0
0
17 Nov 2025
Spurious Correlation-Aware Embedding Regularization for Worst-Group Robustness
Subeen Park
Joowang Kim
Hakyung Lee
Sunjae Yoo
Kyungwoo Song
167
0
0
06 Nov 2025
Local Background Features Matter in Out-of-Distribution Detection
Jinlun Ye
Zhuohao Sun
Yiqiao Qiu
Qiu Li
Zhijun Tan
Ruixuan Wang
OODD
286
0
0
14 Oct 2025
A Median Perspective on Unlabeled Data for Out-of-Distribution Detection
Momin Abbas
Ali Falahati
Hossein Goli
Mohammad Mohammadi Amiri
199
2
0
07 Oct 2025
ANTS: Adaptive Negative Textual Space Shaping for OOD Detection via Test-Time MLLM Understanding and Reasoning
Wenjie Zhu
Yabin Zhang
Jianfeng Dong
Wenjun Zeng
Lei Zhang
480
0
0
04 Sep 2025
Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection
YingSheng Wang
Shuo Lu
Jian Liang
A. Zheng
Ran He
OODD
289
0
0
02 Sep 2025
Activation Subspaces for Out-of-Distribution Detection
Barış Zöngür
Robin Hesse
Stefan Roth
OODD
240
1
0
29 Aug 2025
Sharpness-Aware Geometric Defense for Robust Out-Of-Distribution Detection
Jeng-Lin Li
Ming-Ching Chang
Wei-Chao Chen
182
0
0
24 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
313
3
0
01 Aug 2025
Monitoring Risks in Test-Time Adaptation
Mona Schirmer
Metod Jazbec
C. A. Naesseth
Eric T. Nalisnick
TTA
611
4
0
11 Jul 2025
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
OODD
VPVLM
VLM
423
1
0
06 Jul 2025
Dynamic Sparse Training of Diagonally Sparse Networks
Abhishek Tyagi
Arjun Iyer
William H Renninger
Christopher Kanan
Yuhao Zhu
304
1
0
13 Jun 2025
DIsoN: Decentralized Isolation Networks for Out-of-Distribution Detection in Medical Imaging
Felix Wagner
Pramit Saha
Harry Anthony
J. A. Noble
Konstantinos Kamnitsas
OOD
491
0
0
10 Jun 2025
AdaSCALE: Adaptive Scaling for OOD Detection
Sudarshan Regmi
OODD
621
6
0
11 Mar 2025
Open-Insect: Benchmarking Open-Set Recognition of Novel Species in Biodiversity Monitoring
Yuyan Chen
Nico Lang
B. Christian Schmidt
Aditya Jain
Yves Basset
Sara Beery
Maxim Larrivée
David Rolnick
571
1
0
03 Mar 2025
CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature Leveraging
Computer Vision and Pattern Recognition (CVPR), 2025
Zhiwei Ling
Yachen Chang
Hailiang Zhao
Xinkui Zhao
Kingsum Chow
Shuiguang Deng
OODD
486
6
0
01 Mar 2025
OpenEarthSensing: Large-Scale Fine-Grained Benchmark for Open-World Remote Sensing
Xiang Xiang
Zhuo Xu
Yao Deng
Yuwen Tan
Yifan Liang
Ke Chen
Qingfang Zheng
Yaowei Wang
Xilin Chen
Wen Gao
VLM
535
3
0
28 Feb 2025
On the Discrimination and Consistency for Exemplar-Free Class Incremental Learning
International Joint Conference on Artificial Intelligence (IJCAI), 2025
Tianqi Wang
Jingcai Guo
Depeng Li
Zhi Chen
133
4
0
28 Jan 2025
Provably Safeguarding a Classifier from OOD and Adversarial Samples: an Extreme Value Theory Approach
International Conference on Learning Representations (ICLR), 2025
Nicolas Atienza
Christophe Labreuche
Johanne Cohen
Michele Sebag
OODD
AAML
941
1
0
20 Jan 2025
Multi-layer Radial Basis Function Networks for Out-of-distribution Detection
Amol Khanna
Chenyi Ling
Derek Everett
Edward Raff
Nathan Inkawhich
OODD
525
1
0
05 Jan 2025
From Open Vocabulary to Open World: Teaching Vision Language Models to Detect Novel Objects
Zizhao Li
Zhengkang Xiang
Joseph West
Kourosh Khoshelham
ObjD
VLM
566
5
0
27 Nov 2024
Image-based Outlier Synthesis With Training Data
Sudarshan Regmi
OODD
548
2
0
16 Nov 2024
Deep Active Learning in the Open World
Tian Xie
Jifan Zhang
Haoyue Bai
R. Nowak
VLM
930
8
0
10 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
534
0
0
04 Nov 2024
Process Reward Model with Q-Value Rankings
International Conference on Learning Representations (ICLR), 2024
W. Li
Yixuan Li
LRM
720
75
0
15 Oct 2024
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models
Neural Information Processing Systems (NeurIPS), 2024
Mengyuan Chen
Junyu Gao
Changsheng Xu
VLM
OODD
407
14
0
11 Oct 2024
Out-of-Distribution Detection: A Task-Oriented Survey of Recent Advances
Shuo Lu
YingSheng Wang
Lijun Sheng
Lingxiao He
A. Zheng
Jian Liang
OODD
688
7
0
18 Sep 2024
Uncertainty-Guided Appearance-Motion Association Network for Out-of-Distribution Action Detection
Conference on Multimedia Information Processing and Retrieval (MIPR), 2024
Xiang Fang
Arvind Easwaran
B. Genest
456
9
0
16 Sep 2024
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection
Yingwen Wu
Ruiji Yu
Xinwen Cheng
Zhengbao He
Xiaolin Huang
OODD
448
9
0
28 May 2024
Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling
Jianan Fan
Dongnan Liu
Hang Chang
Heng-Chiao Huang
Mei Chen
Weidong Cai
358
10
0
02 Mar 2024
ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection
Bo Peng
Yadan Luo
Yonggang Zhang
Shouqing Yang
Zhen Fang
OODD
435
26
0
27 Feb 2024
ARGS: Alignment as Reward-Guided Search
International Conference on Learning Representations (ICLR), 2024
Maxim Khanov
Jirayu Burapacheep
Yixuan Li
542
98
0
23 Jan 2024
Fast Decision Boundary based Out-of-Distribution Detector
International Conference on Machine Learning (ICML), 2023
Litian Liu
Yao Qin
OODD
415
47
0
15 Dec 2023
Low-Dimensional Gradient Helps Out-of-Distribution Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Yingwen Wu
Tao Li
Xinwen Cheng
Jie Yang
Xiaolin Huang
OODD
250
9
0
26 Oct 2023
SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection
International Conference on Information and Knowledge Management (CIKM), 2023
Zhihao Ding
Jieming Shi
Shiqi Shen
Xuequn Shang
Jiannong Cao
Zhipeng Wang
Zhi Gong
OODD
OOD
303
10
0
16 Oct 2023
NECO: NEural Collapse Based Out-of-distribution detection
International Conference on Learning Representations (ICLR), 2023
Mouin Ben Ammar
Nacim Belkhir
Sebastian Popescu
Antoine Manzanera
Gianni Franchi
OODD
403
39
0
10 Oct 2023
FLatS: Principled Out-of-Distribution Detection with Feature-Based Likelihood Ratio Score
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Haowei Lin
Yuntian Gu
OODD
259
8
0
08 Oct 2023
Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement
International Conference on Learning Representations (ICLR), 2023
Kai Xu
Rongyu Chen
Gianni Franchi
Angela Yao
OODD
303
79
0
30 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
331
72
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
380
98
0
23 Sep 2023
When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis
International Conference on Machine Learning (ICML), 2023
Yiyou Sun
Zhenmei Shi
Yingyu Liang
Shouqing Yang
243
25
0
09 Aug 2023
DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalization
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Wang Lu
Yongfeng Zhang
Xinwei Sun
Yiqiang Chen
Xiangyang Ji
Qiang Yang
Xingxu Xie
OODD
AI4TS
377
35
0
04 Aug 2023
HOOD: Real-Time Human Presence and Out-of-Distribution Detection Using FMCW Radar
Sabri Mustafa Kahya
Muhammet Sami Yavuz
Eckehard Steinbach
543
10
0
24 Jul 2023
Image Background Serves as Good Proxy for Out-of-distribution Data
International Conference on Learning Representations (ICLR), 2023
Sen Pei
336
3
0
02 Jul 2023
Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for Out-of-Domain Detection
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Rheeya Uppaal
Junjie Hu
Shouqing Yang
OODD
391
45
0
22 May 2023
Dual Representation Learning for Out-of-Distribution Detection
Zhilin Zhao
LongBing Cao
263
6
0
19 Jun 2022
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