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ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection
v1v2 (latest)

ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection

27 February 2024
Bo Peng
Yadan Luo
Yonggang Zhang
Shouqing Yang
Zhen Fang
ArXiv (abs)PDFHTMLHuggingFace (1 upvotes)

Papers citing "ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection"

16 / 16 papers shown
On the Provable Importance of Gradients for Language-Assisted Image Clustering
On the Provable Importance of Gradients for Language-Assisted Image Clustering
Bo Peng
Jie Lu
G. Zhang
Zhen Fang
VLM
146
0
0
18 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
160
2
0
07 Oct 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
246
0
0
02 Sep 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
380
0
0
11 Jun 2025
Generalizable Prompt Learning of CLIP: A Brief Overview
Generalizable Prompt Learning of CLIP: A Brief Overview
Fangming Cui
Yonggang Zhang
Xuan Wang
Xule Wang
Liang Xiao
VPVLMVLM
1.4K
2
0
03 Mar 2025
Adaptive Hierarchical Graph Cut for Multi-granularity
  Out-of-distribution Detection
Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection
Xiang Fang
Arvind Easwaran
B. Genest
Ponnuthurai Nagaratnam Suganthan
OODD
308
2
0
20 Dec 2024
Generalized Distribution Prediction for Asset Returns
Generalized Distribution Prediction for Asset Returns
Ísak Pétursson
María Óskarsdóttir
AIFin
218
0
0
15 Oct 2024
Out-of-Distribution Detection with Relative Angles
Out-of-Distribution Detection with Relative Angles
Berker Demirel
Marco Fumero
Francesco Locatello
349
0
0
06 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
556
7
0
18 Sep 2024
Resultant: Incremental Effectiveness on Likelihood for Unsupervised
  Out-of-Distribution Detection
Resultant: Incremental Effectiveness on Likelihood for Unsupervised Out-of-Distribution Detection
Yewen Li
Chaojie Wang
Xiaobo Xia
Xu He
Ruyi An
Dong Li
Tongliang Liu
Bo An
Xinrun Wang
OODD
228
0
0
05 Sep 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
210
5
0
09 Aug 2024
Weighted Risk Invariance: Domain Generalization under Invariant Feature
  Shift
Weighted Risk Invariance: Domain Generalization under Invariant Feature Shift
Gina Wong
Joshua Gleason
Ramalingam Chellappa
Yoav Wald
Anqi Liu
OOD
398
1
0
25 Jul 2024
OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental
  Learning
OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental Learning
Wenjun Miao
Guansong Pang
Trong-Tung Nguyen
Ruohang Fang
Jin Zheng
Xiao Bai
OODD
378
9
0
08 Jul 2024
Detecting Brittle Decisions for Free: Leveraging Margin Consistency in
  Deep Robust Classifiers
Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers
Jonas Ngnawé
Sabyasachi Sahoo
Y. Pequignot
Frédéric Precioso
Christian Gagné
AAML
337
3
0
26 Jun 2024
Gradient-Regularized Out-of-Distribution Detection
Gradient-Regularized Out-of-Distribution Detection
Sina Sharifi
Taha Entesari
Bardia Safaei
Vishal M. Patel
Mahyar Fazlyab
OODD
321
11
0
18 Apr 2024
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image Recognition
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image RecognitionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Chong Wang
Yuanhong Chen
Fengbei Liu
Yuyuan Liu
Davis J. McCarthy
Helen Frazer
Gustavo Carneiro
569
5
0
30 Nov 2023
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