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Likelihood Ratios for Out-of-Distribution Detection

Likelihood Ratios for Out-of-Distribution Detection

7 June 2019
Jie Jessie Ren
Peter J. Liu
Emily Fertig
Jasper Snoek
Ryan Poplin
M. DePristo
Joshua V. Dillon
Balaji Lakshminarayanan
    OODD
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Papers citing "Likelihood Ratios for Out-of-Distribution Detection"

50 / 449 papers shown
Title
Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation
Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation
Ibrahim Elsharkawy
Yonatan Kahn
16
0
0
13 May 2025
Recent Advances in Out-of-Distribution Detection with CLIP-Like Models: A Survey
Recent Advances in Out-of-Distribution Detection with CLIP-Like Models: A Survey
Chaohua Li
Enhao Zhang
Chuanxing Geng
Songcan Chen
OODD
VLM
40
0
0
05 May 2025
Bayesian Cross-Modal Alignment Learning for Few-Shot Out-of-Distribution Generalization
Bayesian Cross-Modal Alignment Learning for Few-Shot Out-of-Distribution Generalization
Lin Zhu
Yifeng Yang
Zichao Nie
Yuan Gao
VLM
30
0
0
13 Apr 2025
Revisiting Likelihood-Based Out-of-Distribution Detection by Modeling Representations
Revisiting Likelihood-Based Out-of-Distribution Detection by Modeling Representations
Yifan Ding
Arturas Aleksandrauskas
Amirhossein Ahmadian
Jonas Unger
Fredrik Lindsten
Gabriel Eilertsen
OODD
40
1
0
10 Apr 2025
Explaining Low Perception Model Competency with High-Competency Counterfactuals
Explaining Low Perception Model Competency with High-Competency Counterfactuals
Sara Pohland
Claire Tomlin
DiffM
AAML
51
0
0
07 Apr 2025
ProHOC: Probabilistic Hierarchical Out-of-Distribution Classification via Multi-Depth Networks
ProHOC: Probabilistic Hierarchical Out-of-Distribution Classification via Multi-Depth Networks
Erik Wallin
Fredrik Kahl
Lars Hammarstrand
OODD
54
0
0
27 Mar 2025
Mitigating Hallucinations in YOLO-based Object Detection Models: A Revisit to Out-of-Distribution Detection
Weicheng He
Changshun Wu
Chih-Hong Cheng
Xiaowei Huang
Saddek Bensalem
OODD
51
0
0
10 Mar 2025
OT-DETECTOR: Delving into Optimal Transport for Zero-shot Out-of-Distribution Detection
OT-DETECTOR: Delving into Optimal Transport for Zero-shot Out-of-Distribution Detection
Yu Liu
Hao Tang
Haiqi Zhang
Jing Qin
Zechao Li
OODD
64
0
0
09 Mar 2025
Guaranteeing Out-Of-Distribution Detection in Deep RL via Transition Estimation
Mohit Prashant
Arvind Easwaran
Suman Das
Michael Yuhas
OffRL
69
1
0
07 Mar 2025
Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art
Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art
Youssef Shoeb
Azarm Nowzad
Hanno Gottschalk
UQCV
85
2
0
04 Mar 2025
G-OSR: A Comprehensive Benchmark for Graph Open-Set Recognition
Yicong Dong
Rundong He
Guangyao Chen
Wentao Zhang
Zhongyi Han
Jieming Shi
Yilong Yin
43
0
0
01 Mar 2025
Shh, don't say that! Domain Certification in LLMs
Shh, don't say that! Domain Certification in LLMs
Cornelius Emde
Alasdair Paren
Preetham Arvind
Maxime Kayser
Tom Rainforth
Thomas Lukasiewicz
Guohao Li
Philip Torr
Adel Bibi
53
1
0
26 Feb 2025
Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs
Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs
Yuhan Chen
Yihong Luo
Yifan Song
Pengwen Dai
Jing Tang
Xiaochun Cao
OODD
46
1
0
25 Feb 2025
DOSE3 : Diffusion-based Out-of-distribution detection on SE(3) trajectories
DOSE3 : Diffusion-based Out-of-distribution detection on SE(3) trajectories
Hongzhe Cheng
Tianyou Zheng
Tianyi Zhang
Matthew Johnson-Roberson
Weiming Zhi
DiffM
55
0
0
23 Feb 2025
Beyond Confidence: Adaptive Abstention in Dual-Threshold Conformal Prediction for Autonomous System Perception
Beyond Confidence: Adaptive Abstention in Dual-Threshold Conformal Prediction for Autonomous System Perception
Divake Kumar
Nastaran Darabi
Sina Tayebati
A. R. Trivedi
74
0
0
11 Feb 2025
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation
Danny Wang
Ruihong Qiu
Guangdong Bai
Zi Huang
119
0
0
09 Feb 2025
Provably Safeguarding a Classifier from OOD and Adversarial Samples: an Extreme Value Theory Approach
Provably Safeguarding a Classifier from OOD and Adversarial Samples: an Extreme Value Theory Approach
Nicolas Atienza
Christophe Labreuche
Johanne Cohen
Michele Sebag
OODD
AAML
158
0
0
20 Jan 2025
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference
Jiayi Huang
Sangwoo Park
Osvaldo Simeone
108
2
0
03 Jan 2025
Marvel: Accelerating Safe Online Reinforcement Learning with Finetuned Offline Policy
Marvel: Accelerating Safe Online Reinforcement Learning with Finetuned Offline Policy
Keru Chen
Honghao Wei
Zhigang Deng
Sen Lin
OffRL
OnRL
94
0
0
31 Dec 2024
Uncertainty Quantification in Continual Open-World Learning
Uncertainty Quantification in Continual Open-World Learning
Amanda Rios
I. Ndiour
Parual Datta
Jaroslaw Sydir
Omesh Tickoo
Nilesh A. Ahuja
BDL
86
0
0
21 Dec 2024
CONCLAD: COntinuous Novel CLAss Detector
CONCLAD: COntinuous Novel CLAss Detector
Amanda Rios
I. Ndiour
Parual Datta
Omesh Tickoo
Nilesh A. Ahuja
85
0
0
13 Dec 2024
Making the Flow Glow -- Robot Perception under Severe Lighting
  Conditions using Normalizing Flow Gradients
Making the Flow Glow -- Robot Perception under Severe Lighting Conditions using Normalizing Flow Gradients
Simon Kristoffersson Lind
Rudolph Triebel
V. Krüger
77
0
0
10 Dec 2024
Your Data Is Not Perfect: Towards Cross-Domain Out-of-Distribution Detection in Class-Imbalanced Data
Your Data Is Not Perfect: Towards Cross-Domain Out-of-Distribution Detection in Class-Imbalanced Data
Xiang Fang
Arvind Easwaran
B. Genest
Ponnuthurai Nagaratnam Suganthan
83
14
0
09 Dec 2024
Learning Structured Representations with Hyperbolic Embeddings
Learning Structured Representations with Hyperbolic Embeddings
Aditya Sinha
Siqi Zeng
M. Yamada
Han Zhao
85
0
0
02 Dec 2024
FodFoM: Fake Outlier Data by Foundation Models Creates Stronger Visual
  Out-of-Distribution Detector
FodFoM: Fake Outlier Data by Foundation Models Creates Stronger Visual Out-of-Distribution Detector
Jiankang Chen
Ling Deng
Zhiyong Gan
Wei-Shi Zheng
Ruixuan Wang
OODD
89
0
0
22 Nov 2024
TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual
  Out-of-Distribution Detection
TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual Out-of-Distribution Detection
Jiankang Chen
Tong Zhang
Wei-Shi Zheng
Ruixuan Wang
OODD
117
2
0
22 Nov 2024
PaRCE: Probabilistic and Reconstruction-based Competency Estimation for CNN-based Image Classification
PaRCE: Probabilistic and Reconstruction-based Competency Estimation for CNN-based Image Classification
Sara Pohland
Claire Tomlin
UQCV
73
1
0
22 Nov 2024
Exploring Out-of-distribution Detection for Sparse-view Computed
  Tomography with Diffusion Models
Exploring Out-of-distribution Detection for Sparse-view Computed Tomography with Diffusion Models
Ezgi Demircan-Tureyen
F. Lucka
Tristan van Leeuwen
DiffM
33
0
0
09 Nov 2024
Community Forensics: Using Thousands of Generators to Train Fake Image
  Detectors
Community Forensics: Using Thousands of Generators to Train Fake Image Detectors
Jeongsoo Park
Andrew Owens
34
3
0
06 Nov 2024
Supervised Score-Based Modeling by Gradient Boosting
Supervised Score-Based Modeling by Gradient Boosting
Changyuan Zhao
Hongyang Du
Guangyuan Liu
Dusit Niyato
DiffM
46
0
0
02 Nov 2024
PViT: Prior-augmented Vision Transformer for Out-of-distribution Detection
PViT: Prior-augmented Vision Transformer for Out-of-distribution Detection
Tianhao Zhang
Zhixiang Chen
Lyudmila Mihaylova
146
0
0
27 Oct 2024
What If the Input is Expanded in OOD Detection?
What If the Input is Expanded in OOD Detection?
Boxuan Zhang
Jianing Zhu
Zengmao Wang
Tongliang Liu
Bo Du
Bo Han
AAML
OODD
26
0
0
24 Oct 2024
LEGO-Learn: Label-Efficient Graph Open-Set Learning
LEGO-Learn: Label-Efficient Graph Open-Set Learning
Haoyan Xu
Kay Liu
Zhengtao Yao
Philip S. Yu
Mengyuan Li
Yue Zhao
Yue Zhao
OODD
68
5
0
21 Oct 2024
Conjugated Semantic Pool Improves OOD Detection with Pre-trained
  Vision-Language Models
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models
Mengyuan Chen
Junyu Gao
Changsheng Xu
VLM
OODD
30
0
0
11 Oct 2024
Do You Know What You Are Talking About? Characterizing Query-Knowledge
  Relevance For Reliable Retrieval Augmented Generation
Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation
Zhuohang Li
Jiaxin Zhang
Chao Yan
Kamalika Das
Sricharan Kumar
Murat Kantarcioglu
Bradley Malin
RALM
26
1
0
10 Oct 2024
Distribution Guided Active Feature Acquisition
Distribution Guided Active Feature Acquisition
Yang Li
Junier Oliva
29
0
0
04 Oct 2024
Forte : Finding Outliers with Representation Typicality Estimation
Forte : Finding Outliers with Representation Typicality Estimation
Debargha Ganguly
Warren Morningstar
A. Yu
Vipin Chaudhary
OODD
47
0
0
02 Oct 2024
Collaborative Knowledge Distillation via a Learning-by-Education Node
  Community
Collaborative Knowledge Distillation via a Learning-by-Education Node Community
Anestis Kaimakamidis
Ioannis Mademlis
Ioannis Pitas
30
0
0
30 Sep 2024
A Likelihood Ratio-Based Approach to Segmenting Unknown Objects
A Likelihood Ratio-Based Approach to Segmenting Unknown Objects
Nazir Nayal
Youssef Shoeb
Fatma Güney
OODD
38
4
0
10 Sep 2024
Competency-Aware Planning for Probabilistically Safe Navigation Under Perception Uncertainty
Competency-Aware Planning for Probabilistically Safe Navigation Under Perception Uncertainty
Sara Pohland
Claire Tomlin
38
0
0
09 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
50
0
0
05 Sep 2024
Low-Quality Image Detection by Hierarchical VAE
Low-Quality Image Detection by Hierarchical VAE
Tomoyasu Nanaumi
Kazuhiko Kawamoto
Hiroshi Kera
27
0
0
20 Aug 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
40
3
0
09 Aug 2024
Unsupervised Detection of Fetal Brain Anomalies using Denoising
  Diffusion Models
Unsupervised Detection of Fetal Brain Anomalies using Denoising Diffusion Models
Markus Ditlev Sjøgren Olsen
Jakob Ambsdorf
Manxi Lin
C. Taksøe-Vester
M. B. S. Svendsen
Anders Christensen
Mads Nielsen
M. Tolsgaard
Aasa Feragen
Paraskevas Pegios
DiffM
MedIm
45
0
0
07 Aug 2024
On the Calibration of Epistemic Uncertainty: Principles, Paradoxes and
  Conflictual Loss
On the Calibration of Epistemic Uncertainty: Principles, Paradoxes and Conflictual Loss
Mohammed Fellaji
Frédéric Pennerath
Brieuc Conan-Guez
Miguel Couceiro
UQCV
43
1
0
16 Jul 2024
Understanding the Dependence of Perception Model Competency on Regions
  in an Image
Understanding the Dependence of Perception Model Competency on Regions in an Image
Sara Pohland
Claire Tomlin
19
1
0
15 Jul 2024
Improving Out-of-Distribution Detection by Combining Existing Post-hoc
  Methods
Improving Out-of-Distribution Detection by Combining Existing Post-hoc Methods
Paul Novello
Yannick Prudent
Joseba Dalmau
Corentin Friedrich
Y. Pequignot
OODD
37
1
0
09 Jul 2024
Learning Non-Linear Invariants for Unsupervised Out-of-Distribution
  Detection
Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection
Lars Doorenbos
Raphael Sznitman
Pablo Márquez-Neila
45
1
0
04 Jul 2024
Improving Taxonomic Image-based Out-of-distribution Detection With DNA
  Barcodes
Improving Taxonomic Image-based Out-of-distribution Detection With DNA Barcodes
Mikko Impio
Jenni Raitoharju
OODD
23
0
0
27 Jun 2024
Combine and Conquer: A Meta-Analysis on Data Shift and
  Out-of-Distribution Detection
Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection
Eduardo Dadalto
F. Alberge
Pierre Duhamel
Pablo Piantanida
OODD
51
0
0
23 Jun 2024
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