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2203.04450
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How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?
8 March 2022
Yifei Ming
Yiyou Sun
Ousmane Amadou Dia
Yixuan Li
OODD
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Papers citing
"How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?"
50 / 71 papers shown
Title
AdaSCALE: Adaptive Scaling for OOD Detection
Sudarshan Regmi
OODD
52
0
0
11 Mar 2025
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
42
0
0
03 Mar 2025
OpenEarthSensing: Large-Scale Fine-Grained Benchmark for Open-World Remote Sensing
Xiang Xiang
Zhuo Xu
Yao Deng
Qinhao Zhou
Yifan Liang
Ke Chen
Qingfang Zheng
Yaowei Wang
Xilin Chen
Wen Gao
VLM
43
0
0
28 Feb 2025
HALO: Robust Out-of-Distribution Detection via Joint Optimisation
Hugo Lyons Keenan
S. Erfani
Christopher Leckie
OODD
196
0
0
27 Feb 2025
A margin-based replacement for cross-entropy loss
Michael W. Spratling
Heiko H. Schütt
63
0
0
21 Jan 2025
Provably Safeguarding a Classifier from OOD and Adversarial Samples: an Extreme Value Theory Approach
Nicolas Atienza
Christophe Labreuche
Johanne Cohen
Michele Sebag
OODD
AAML
95
0
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
23
0
0
05 Jan 2025
Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection
Xiang Fang
Arvind Easwaran
B. Genest
Ponnuthurai Nagaratnam Suganthan
OODD
66
0
0
20 Dec 2024
Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts
Jihye Choi
Jayaram Raghuram
Yixuan Li
Somesh Jha
101
4
0
18 Dec 2024
Learning Structured Representations with Hyperbolic Embeddings
Aditya Sinha
Siqi Zeng
M. Yamada
Han Zhao
65
0
0
02 Dec 2024
From Open Vocabulary to Open World: Teaching Vision Language Models to Detect Novel Objects
Zizhao Li
Zhengkang Xiang
Joseph West
Kourosh Khoshelham
ObjD
VLM
94
1
0
27 Nov 2024
Semantic or Covariate? A Study on the Intractable Case of Out-of-Distribution Detection
Xingming Long
Jie M. Zhang
Shiguang Shan
Xilin Chen
OODD
35
0
0
18 Nov 2024
Going Beyond Conventional OOD Detection
Sudarshan Regmi
OODD
52
1
0
16 Nov 2024
Deep Active Learning in the Open World
Tian Xie
Jifan Zhang
Haoyue Bai
R. Nowak
VLM
89
0
0
10 Nov 2024
AdaNeg: Adaptive Negative Proxy Guided OOD Detection with Vision-Language Models
Yabin Zhang
L. Zhang
VLM
OODD
23
2
0
26 Oct 2024
Process Reward Model with Q-Value Rankings
W. Li
Yixuan Li
LRM
45
14
0
15 Oct 2024
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models
Mengyuan Chen
Junyu Gao
Changsheng Xu
VLM
OODD
23
0
0
11 Oct 2024
Learning Multi-Manifold Embedding for Out-Of-Distribution Detection
Jeng-Lin Li
Ming-Ching Chang
Wei-Chao Chen
OODD
40
0
0
19 Sep 2024
Recent Advances in OOD Detection: Problems and Approaches
Shuo Lu
YingSheng Wang
Lijun Sheng
Aihua Zheng
Lingxiao He
Jian Liang
OODD
55
2
0
18 Sep 2024
Uncertainty-Guided Appearance-Motion Association Network for Out-of-Distribution Action Detection
Xiang Fang
Arvind Easwaran
B. Genest
26
4
0
16 Sep 2024
Representation Norm Amplification for Out-of-Distribution Detection in Long-Tail Learning
Dong Geun Shin
Hye Won Chung
OODD
22
0
0
20 Aug 2024
Your Classifier Can Be Secretly a Likelihood-Based OOD Detector
Jirayu Burapacheep
Yixuan Li
OODD
30
3
0
09 Aug 2024
ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection
Erik Wallin
Lennart Svensson
Fredrik Kahl
Lars Hammarstrand
OODD
34
1
0
16 Jul 2024
LAPT: Label-driven Automated Prompt Tuning for OOD Detection with Vision-Language Models
Yabin Zhang
Wenjie Zhu
Chenhang He
Lei Zhang
VLM
43
7
0
12 Jul 2024
Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection
Lars Doorenbos
Raphael Sznitman
Pablo Márquez-Neila
32
1
0
04 Jul 2024
SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation
Yixia Li
Boya Xiong
Guanhua Chen
Yun Chen
OODD
33
2
0
18 Jun 2024
How Out-of-Distribution Detection Learning Theory Enhances Transformer: Learnability and Reliability
Yijin Zhou
Yuguang Wang
Xiaowen Dong
Yuguang Wang
38
0
0
13 Jun 2024
When and How Does In-Distribution Label Help Out-of-Distribution Detection?
Xuefeng Du
Yiyou Sun
Yixuan Li
25
6
0
28 May 2024
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection
Yingwen Wu
Ruiji Yu
Xinwen Cheng
Zhengbao He
Xiaolin Huang
OODD
64
1
0
28 May 2024
Adapting Multi-modal Large Language Model to Concept Drift From Pre-training Onwards
Xiaoyu Yang
Jie Lu
Enshui Yu
VLM
35
1
0
22 May 2024
Hyperbolic Metric Learning for Visual Outlier Detection
Alvaro Gonzalez-Jimenez
Simone Lionetti
Dena Bazazian
Philippe Gottfrois
Fabian Gröger
M. Pouly
A. Navarini
44
1
0
22 Mar 2024
Open-World Semi-Supervised Learning for Node Classification
Yanling Wang
Jing Zhang
Lingxi Zhang
Lixin Liu
Yuxiao Dong
Cuiping Li
Hong Chen
Hongzhi Yin
BDL
33
0
0
18 Mar 2024
Enhancing Out-of-Distribution Detection with Multitesting-based Layer-wise Feature Fusion
Jiawei Li
Sitong Li
Shanshan Wang
Yicheng Zeng
Falong Tan
Chuanlong Xie
OODD
22
1
0
16 Mar 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
38
5
0
02 Mar 2024
ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection
Bo Peng
Yadan Luo
Yonggang Zhang
Yixuan Li
Zhen Fang
24
12
0
27 Feb 2024
HYPO: Hyperspherical Out-of-Distribution Generalization
Yifei Ming
Haoyue Bai
Julian Katz-Samuels
Yixuan Li
OODD
OOD
27
8
0
12 Feb 2024
How Does Unlabeled Data Provably Help Out-of-Distribution Detection?
Xuefeng Du
Zhen Fang
Ilias Diakonikolas
Yixuan Li
OODD
36
26
0
05 Feb 2024
ARGS: Alignment as Reward-Guided Search
Maxim Khanov
Jirayu Burapacheep
Yixuan Li
26
44
0
23 Jan 2024
Detecting Out-of-Distribution Samples via Conditional Distribution Entropy with Optimal Transport
Chuanwen Feng
Wenlong Chen
Ao Ke
Yilong Ren
Xike Xie
S.Kevin Zhou
OODD
27
0
0
22 Jan 2024
Fast Decision Boundary based Out-of-Distribution Detector
Litian Liu
Yao Qin
OODD
15
12
0
15 Dec 2023
ExCeL : Combined Extreme and Collective Logit Information for Enhancing Out-of-Distribution Detection
Naveen Karunanayake
Suranga Seneviratne
Sanjay Chawla
OODD
17
1
0
23 Nov 2023
Learning to Augment Distributions for Out-of-Distribution Detection
Qizhou Wang
Zhen Fang
Yonggang Zhang
Feng Liu
Yixuan Li
Bo Han
OODD
25
31
0
03 Nov 2023
Scaling Riemannian Diffusion Models
Aaron Lou
Minkai Xu
Stefano Ermon
17
8
0
30 Oct 2023
Classifier-head Informed Feature Masking and Prototype-based Logit Smoothing for Out-of-Distribution Detection
Zhuohao Sun
Yiqiao Qiu
Zhijun Tan
Weishi Zheng
Ruixuan Wang
OODD
11
6
0
27 Oct 2023
Low-Dimensional Gradient Helps Out-of-Distribution Detection
Yingwen Wu
Tao Li
Xinwen Cheng
Jie-jin Yang
Xiaolin Huang
OODD
49
3
0
26 Oct 2023
Towards Open World Active Learning for 3D Object Detection
Zhuoxiao Chen
Yadan Luo
Zixin Wang
Zijian Wang
Xin Yu
Zi Huang
27
0
0
16 Oct 2023
SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection
Zhihao Ding
Jieming Shi
Shiqi Shen
Xuequn Shang
Jiannong Cao
Zhipeng Wang
Zhi Gong
OODD
OOD
27
4
0
16 Oct 2023
NECO: NEural Collapse Based Out-of-distribution detection
Mouin Ben Ammar
Nacim Belkhir
Sebastian Popescu
Antoine Manzanera
Gianni Franchi
OODD
23
17
0
10 Oct 2023
Understanding the Feature Norm for Out-of-Distribution Detection
Jaewoo Park
Jacky Chen Long Chai
Jaeho Yoon
Andrew Beng Jin Teoh
OODD
16
12
0
09 Oct 2023
FLatS: Principled Out-of-Distribution Detection with Feature-Based Likelihood Ratio Score
Haowei Lin
Yuntian Gu
OODD
10
6
0
08 Oct 2023
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