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Energy-based Out-of-distribution Detection
v1v2v3v4 (latest)

Energy-based Out-of-distribution Detection

8 October 2020
Weitang Liu
Xiaoyun Wang
John Douglas Owens
Yixuan Li
    OODD
ArXiv (abs)PDFHTML

Papers citing "Energy-based Out-of-distribution Detection"

50 / 847 papers shown
Title
A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators
A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators
Han Zhou
Jordy Van Landeghem
Teodora Popordanoska
Matthew B. Blaschko
149
3
0
20 Oct 2024
Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation
Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation
Seulbi Lee
J. Kim
Sangheum Hwang
LRM
457
2
0
19 Oct 2024
What's New in My Data? Novelty Exploration via Contrastive Generation
What's New in My Data? Novelty Exploration via Contrastive Generation
Masaru Isonuma
Ivan Titov
59
0
0
18 Oct 2024
Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation
Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation
Yiming Wang
Pei Zhang
Baosong Yang
Derek F. Wong
Rui Wang
LRM
115
15
0
17 Oct 2024
ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability
ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability
Zhongxiang Sun
Xiaoxue Zang
Kai Zheng
Yang Song
Jun Xu
Xiao Zhang
Weijie Yu
Yang Song
Han Li
124
17
0
15 Oct 2024
FOOGD: Federated Collaboration for Both Out-of-distribution
  Generalization and Detection
FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection
Xinting Liao
Weiming Liu
Pengyang Zhou
Fengyuan Yu
Jiahe Xu
Jun Wang
Wenjie Wang
Chaochao Chen
Xiaolin Zheng
FedMLOODD
110
5
0
15 Oct 2024
Process Reward Model with Q-Value Rankings
Process Reward Model with Q-Value Rankings
W. Li
Yixuan Li
LRM
152
25
0
15 Oct 2024
RICASSO: Reinforced Imbalance Learning with Class-Aware Self-Supervised
  Outliers Exposure
RICASSO: Reinforced Imbalance Learning with Class-Aware Self-Supervised Outliers Exposure
Wei Wei
Sin Chee Chin
Tingxuan Gao
Wenming Yang
113
0
0
14 Oct 2024
COME: Test-time adaption by Conservatively Minimizing Entropy
COME: Test-time adaption by Conservatively Minimizing Entropy
Qingyang Zhang
Yatao Bian
Xinke Kong
Peilin Zhao
Changqing Zhang
OODTTA
359
5
0
12 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
VLMOODD
110
4
0
11 Oct 2024
A Systematic Review of Edge Case Detection in Automated Driving:
  Methods, Challenges and Future Directions
A Systematic Review of Edge Case Detection in Automated Driving: Methods, Challenges and Future Directions
Saeed Rahmani
Sabine Rieder
Erwin de Gelder
Marcel Sonntag
Jorge Lorente Mallada
Sytze Kalisvaart
Vahid Hashemi
Simeon C. Calvert
116
1
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
42
2
0
10 Oct 2024
AHA: Human-Assisted Out-of-Distribution Generalization and Detection
AHA: Human-Assisted Out-of-Distribution Generalization and Detection
Haoyue Bai
Jifan Zhang
Robert Nowak
139
7
0
10 Oct 2024
Adaptive Label Smoothing for Out-of-Distribution Detection
Adaptive Label Smoothing for Out-of-Distribution Detection
Mingle Xu
Jaehwan Lee
Sook Yoon
D. Park
OODD
61
2
0
08 Oct 2024
Continuous Contrastive Learning for Long-Tailed Semi-Supervised
  Recognition
Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition
Zi-Hao Zhou
Siyuan Fang
Zi-Jing Zhou
Tong Wei
Yuanyu Wan
Min-Ling Zhang
79
4
0
08 Oct 2024
Look Around and Find Out: OOD Detection with Relative Angles
Look Around and Find Out: OOD Detection with Relative Angles
Berker Demirel
Marco Fumero
Francesco Locatello
111
0
0
06 Oct 2024
Multi-Robot Motion Planning with Diffusion Models
Multi-Robot Motion Planning with Diffusion Models
Yorai Shaoul
Itamar Mishani
Shivam Vats
Jiaoyang Li
Maxim Likhachev
DiffM
122
8
0
04 Oct 2024
Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors
Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors
Shuangpeng Han
Mengmi Zhang
415
0
0
03 Oct 2024
Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models
Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models
Shuoyuan Wang
Yixuan Li
Hongxin Wei
VLM
170
2
0
03 Oct 2024
Textual Training for the Hassle-Free Removal of Unwanted Visual Data:
  Case Studies on OOD and Hateful Image Detection
Textual Training for the Hassle-Free Removal of Unwanted Visual Data: Case Studies on OOD and Hateful Image Detection
Saehyung Lee
J. Mok
Sangha Park
Yongho Shin
Dahuin Jung
Sungroh Yoon
87
0
0
30 Sep 2024
Flipped Classroom: Aligning Teacher Attention with Student in
  Generalized Category Discovery
Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery
Haonan Lin
Wenbin An
Jiahao Wang
Yan Chen
Feng Tian
Mengmeng Wang
Guang Dai
Qianying Wang
Jingdong Wang
110
2
0
29 Sep 2024
Visual Concept Networks: A Graph-Based Approach to Detecting Anomalous
  Data in Deep Neural Networks
Visual Concept Networks: A Graph-Based Approach to Detecting Anomalous Data in Deep Neural Networks
Debargha Ganguly
Debayan Gupta
Vipin Chaudhary
GNN
55
1
0
26 Sep 2024
Bridging OOD Detection and Generalization: A Graph-Theoretic View
Bridging OOD Detection and Generalization: A Graph-Theoretic View
Han Wang
Yixuan Li
CML
91
2
0
26 Sep 2024
VL4AD: Vision-Language Models Improve Pixel-wise Anomaly Detection
VL4AD: Vision-Language Models Improve Pixel-wise Anomaly Detection
Liangyu Zhong
Joachim Sicking
Fabian Hüger
Hanno Gottschalk
VLM
68
0
0
25 Sep 2024
Scalable Ensemble Diversification for OOD Generalization and Detection
Scalable Ensemble Diversification for OOD Generalization and Detection
Alexander Rubinstein
Luca Scimeca
Damien Teney
Seong Joon Oh
BDLOOD
501
1
0
25 Sep 2024
Building Real-time Awareness of Out-of-distribution in Trajectory Prediction for Autonomous Vehicles
Building Real-time Awareness of Out-of-distribution in Trajectory Prediction for Autonomous Vehicles
Tongfei
Guo
Rui Liu
Lili Su
125
2
0
25 Sep 2024
Margin-bounded Confidence Scores for Out-of-Distribution Detection
Margin-bounded Confidence Scores for Out-of-Distribution Detection
L. Tamang
Mohamed Reda Bouadjenek
Richard Dazeley
Sunil Aryal
OODD
66
0
0
22 Sep 2024
Learning Multi-Manifold Embedding for Out-Of-Distribution Detection
Learning Multi-Manifold Embedding for Out-Of-Distribution Detection
Jeng-Lin Li
Ming-Ching Chang
Wei-Chao Chen
OODD
81
1
0
19 Sep 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
179
7
0
18 Sep 2024
Versatile Incremental Learning: Towards Class and Domain-Agnostic
  Incremental Learning
Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental Learning
Min-Yeong Park
Jae-Ho Lee
Gyeong-Moon Park
CLL
80
1
0
17 Sep 2024
Uncertainty-Guided Appearance-Motion Association Network for Out-of-Distribution Action Detection
Uncertainty-Guided Appearance-Motion Association Network for Out-of-Distribution Action Detection
Xiang Fang
Arvind Easwaran
B. Genest
99
4
0
16 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
76
0
0
09 Sep 2024
Can OOD Object Detectors Learn from Foundation Models?
Can OOD Object Detectors Learn from Foundation Models?
Jiahui Liu
Xin Wen
Shizhen Zhao
Yukang Chen
Xiaojuan Qi
OODD
81
2
0
08 Sep 2024
MILE: A Mutation Testing Framework of In-Context Learning Systems
MILE: A Mutation Testing Framework of In-Context Learning Systems
Zeming Wei
Yihao Zhang
Meng Sun
95
0
0
07 Sep 2024
LoGex: Improved tail detection of extremely rare histopathology classes
  via guided diffusion
LoGex: Improved tail detection of extremely rare histopathology classes via guided diffusion
Maximilian Mueller
Matthias Hein
MedIm
124
0
0
02 Sep 2024
Logit Scaling for Out-of-Distribution Detection
Logit Scaling for Out-of-Distribution Detection
Andrija Djurisic
Rosanne Liu
Mladen Nikolic
OODD
94
1
0
02 Sep 2024
Adapting Vision-Language Models to Open Classes via Test-Time Prompt
  Tuning
Adapting Vision-Language Models to Open Classes via Test-Time Prompt Tuning
Zhengqing Gao
Xiang Ao
Xu-Yao Zhang
Cheng-Lin Liu
VLMVPVLM
89
0
0
29 Aug 2024
Hierarchical Visual Categories Modeling: A Joint Representation Learning
  and Density Estimation Framework for Out-of-Distribution Detection
Hierarchical Visual Categories Modeling: A Joint Representation Learning and Density Estimation Framework for Out-of-Distribution Detection
Jinglun Li
Xinyu Zhou
Pinxue Guo
Yixuan Sun
Yiwen Huang
Weifeng Ge
Wenqiang Zhang
93
2
0
28 Aug 2024
Diffusion based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection
Diffusion based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection
Suhee Yoon
Sanghyu Yoon
Ye Seul Sim
Sungik Choi
Kyungeun Lee
Hye-Seung Cho
Hankook Lee
Woohyung Lim
87
0
0
27 Aug 2024
Online Continuous Generalized Category Discovery
Online Continuous Generalized Category Discovery
Keon-Hee Park
Hakyung Lee
Kyungwoo Song
Gyeong-Moon Park
CLLBDL
93
0
0
24 Aug 2024
Out-of-Distribution Detection with Attention Head Masking for Multimodal
  Document Classification
Out-of-Distribution Detection with Attention Head Masking for Multimodal Document Classification
Christos Constantinou
Georgios Ioannides
Aman Chadha
Aaron Elkins
Edwin Simpson
OODD
66
1
0
20 Aug 2024
On the Potential of Open-Vocabulary Models for Object Detection in
  Unusual Street Scenes
On the Potential of Open-Vocabulary Models for Object Detection in Unusual Street Scenes
Sadia Ilyas
Ido Freeman
Matthias Rottmann
ObjD
107
3
0
20 Aug 2024
Representation Norm Amplification for Out-of-Distribution Detection in
  Long-Tail Learning
Representation Norm Amplification for Out-of-Distribution Detection in Long-Tail Learning
Dong Geun Shin
Hye Won Chung
OODD
131
0
0
20 Aug 2024
Are CLIP features all you need for Universal Synthetic Image Origin
  Attribution?
Are CLIP features all you need for Universal Synthetic Image Origin Attribution?
Dario Cioni
Christos Tzelepis
Lorenzo Seidenari
Ioannis Patras
93
2
0
17 Aug 2024
Out-of-Distribution Learning with Human Feedback
Out-of-Distribution Learning with Human Feedback
Haoyue Bai
Xuefeng Du
Katie Rainey
Shibin Parameswaran
Yixuan Li
OODD
94
5
0
14 Aug 2024
Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to
  Tail
Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to Tail
Yina He
Lei Peng
Yongcun Zhang
Juanjuan Weng
Zhiming Luo
Shaozi Li
OODD
117
0
0
13 Aug 2024
A Review of Pseudo-Labeling for Computer Vision
A Review of Pseudo-Labeling for Computer Vision
Patrick Kage
Jay C. Rothenberger
Pavlos Andreadis
Dimitrios I. Diochnos
VLM
128
7
0
13 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
62
4
0
09 Aug 2024
A Survey of Text-to-SQL in the Era of LLMs: Where are we, and where are we going?
A Survey of Text-to-SQL in the Era of LLMs: Where are we, and where are we going?
Xinyu Liu
Shuyu Shen
Boyan Li
Peixian Ma
Runzhi Jiang
Yuxin Zhang
Ju Fan
Guoliang Li
Nan Tang
Yuyu Luo
76
32
0
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Dimensionality Reduction and Nearest Neighbors for Improving
  Out-of-Distribution Detection in Medical Image Segmentation
Dimensionality Reduction and Nearest Neighbors for Improving Out-of-Distribution Detection in Medical Image Segmentation
M. Woodland
Nihil Patel
Austin Castelo
Mais Al Taie
Mohamed Eltaher
...
Nakul Gupta
David Victor
Laura Beretta
Ankit B. Patel
Kristy K. Brock
OOD
78
0
0
05 Aug 2024
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