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Energy-based Out-of-distribution Detection

Energy-based Out-of-distribution Detection

8 October 2020
Weitang Liu
Xiaoyun Wang
John Douglas Owens
Yixuan Li
    OODD
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Papers citing "Energy-based Out-of-distribution Detection"

50 / 812 papers shown
Title
Real-Time Out-of-Distribution Failure Prevention via Multi-Modal Reasoning
Real-Time Out-of-Distribution Failure Prevention via Multi-Modal Reasoning
Milan Ganai
Rohan Sinha
Christopher Agia
D. Morton
Marco Pavone
OffRL
LRM
AI4CE
27
0
0
15 May 2025
Unsupervised Out-of-Distribution Detection in Medical Imaging Using Multi-Exit Class Activation Maps and Feature Masking
Unsupervised Out-of-Distribution Detection in Medical Imaging Using Multi-Exit Class Activation Maps and Feature Masking
Yu-Jen Chen
Xueyang Li
Yiyu Shi
T. Ho
21
0
0
13 May 2025
Invoke Interfaces Only When Needed: Adaptive Invocation for Large Language Models in Question Answering
Invoke Interfaces Only When Needed: Adaptive Invocation for Large Language Models in Question Answering
Jihao Zhao
Chunlai Zhou
Biao Qin
50
0
0
05 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
37
0
0
05 May 2025
Incorporating Inductive Biases to Energy-based Generative Models
Incorporating Inductive Biases to Energy-based Generative Models
Yukun Li
Li-Ping Liu
50
0
0
02 May 2025
Uncertainty-aware Latent Safety Filters for Avoiding Out-of-Distribution Failures
Uncertainty-aware Latent Safety Filters for Avoiding Out-of-Distribution Failures
Junwon Seo
Kensuke Nakamura
Andrea V. Bajcsy
54
0
0
01 May 2025
Utilising Gradient-Based Proposals Within Sequential Monte Carlo Samplers for Training of Partial Bayesian Neural Networks
Utilising Gradient-Based Proposals Within Sequential Monte Carlo Samplers for Training of Partial Bayesian Neural Networks
Andrew Millard
Joshua Murphy
Simon Maskell
Zheng Zhao
BDL
39
0
0
01 May 2025
GLIP-OOD: Zero-Shot Graph OOD Detection with Foundation Model
GLIP-OOD: Zero-Shot Graph OOD Detection with Foundation Model
Haoyan Xu
Zhengtao Yao
X. Zhang
Z. Wang
Langzhou He
Yushun Dong
Philip S. Yu
Mengyuan Li
Y. Zhao
OODD
VLM
65
0
0
29 Apr 2025
Graph Synthetic Out-of-Distribution Exposure with Large Language Models
Graph Synthetic Out-of-Distribution Exposure with Large Language Models
Haoyan Xu
Zhengtao Yao
Z. Wang
Zhan Cheng
X. Sharon Hu
Mengyuan Li
Y. Zhao
OODD
50
0
0
29 Apr 2025
Open-set Anomaly Segmentation in Complex Scenarios
Open-set Anomaly Segmentation in Complex Scenarios
Song Xia
Yi Yu
Henghui Ding
Wenhan Yang
S. Liu
Alex C. Kot
Xudong Jiang
DiffM
50
0
0
28 Apr 2025
Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection
Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection
Brian K. S. Isaac-Medina
T. Breckon
OODD
134
0
0
25 Apr 2025
Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning
Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning
Lars Ullrich
Zurab Mujirishvili
Knut Graichen
54
0
0
25 Apr 2025
EPSILON: Adaptive Fault Mitigation in Approximate Deep Neural Network using Statistical Signatures
EPSILON: Adaptive Fault Mitigation in Approximate Deep Neural Network using Statistical Signatures
Khurram Khalil
K. A. Hoque
AAML
81
0
0
24 Apr 2025
Energy-Based Pseudo-Label Refining for Source-free Domain Adaptation
Energy-Based Pseudo-Label Refining for Source-free Domain Adaptation
Xinru Meng
Han Sun
J. Liu
Ningzhong Liu
Huiyu Zhou
54
0
0
23 Apr 2025
TrustLoRA: Low-Rank Adaptation for Failure Detection under Out-of-distribution Data
TrustLoRA: Low-Rank Adaptation for Failure Detection under Out-of-distribution Data
Fei Zhu
Zhaoxiang Zhang
OODD
UQCV
60
0
0
20 Apr 2025
Can We Ignore Labels In Out of Distribution Detection?
Can We Ignore Labels In Out of Distribution Detection?
Hong Yang
Qi Yu
Travis Desel
OODD
38
0
0
20 Apr 2025
Revisiting CLIP for SF-OSDA: Unleashing Zero-Shot Potential with Adaptive Threshold and Training-Free Feature Filtering
Revisiting CLIP for SF-OSDA: Unleashing Zero-Shot Potential with Adaptive Threshold and Training-Free Feature Filtering
Y. Li
Jindong Li
Qi Wang
Qianli Xing
Runliang Niu
Shengsheng Wang
Menglin Yang
VLM
40
0
0
19 Apr 2025
Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs
Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs
Shenzhi Yang
Bin Liang
An Liu
Lin Gui
Xingkai Yao
Xiaofang Zhang
OODD
65
3
0
18 Apr 2025
Energy-Based Reward Models for Robust Language Model Alignment
Energy-Based Reward Models for Robust Language Model Alignment
Anamika Lochab
Ruqi Zhang
124
0
0
17 Apr 2025
Enhancing Out-of-Distribution Detection with Extended Logit Normalization
Enhancing Out-of-Distribution Detection with Extended Logit Normalization
Yifan Ding
Xixi Liu
Jonas Unger
Gabriel Eilertsen
OODD
26
0
0
15 Apr 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
28
0
0
13 Apr 2025
Proxy-Anchor and EVT-Driven Continual Learning Method for Generalized Category Discovery
Proxy-Anchor and EVT-Driven Continual Learning Method for Generalized Category Discovery
Alireza Fathalizadeh
Roozbeh Razavi-Far
CLL
36
0
0
11 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
38
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
Prior2Former -- Evidential Modeling of Mask Transformers for Assumption-Free Open-World Panoptic Segmentation
Prior2Former -- Evidential Modeling of Mask Transformers for Assumption-Free Open-World Panoptic Segmentation
Sebastian Schmidt
Julius Körner
Dominik Fuchsgruber
Stefano Gasperini
F. Tombari
Stephan Günnemann
26
0
0
07 Apr 2025
EOOD: Entropy-based Out-of-distribution Detection
EOOD: Entropy-based Out-of-distribution Detection
Guide Yang
Chao Hou
Weilong Peng
Xiang Fang
Yongwei Nie
Peican Zhu
Keke Tang
OODD
49
0
0
04 Apr 2025
ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery
ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery
Shijie Ma
Fei Zhu
Xu-Yao Zhang
Cheng-Lin Liu
27
1
0
02 Apr 2025
Few-Shot Graph Out-of-Distribution Detection with LLMs
Few-Shot Graph Out-of-Distribution Detection with LLMs
Haoyan Xu
Zhengtao Yao
Yushun Dong
Z. Wang
Ryan Rossi
Mengyuan Li
Y. Zhao
OODD
63
2
0
28 Mar 2025
Extremely Simple Out-of-distribution Detection for Audio-visual Generalized Zero-shot Learning
Extremely Simple Out-of-distribution Detection for Audio-visual Generalized Zero-shot Learning
Yang Liu
X. Zhang
Jiale Du
Xinbo Gao
Jungong Han
OODD
49
0
0
28 Mar 2025
RUNA: Object-level Out-of-Distribution Detection via Regional Uncertainty Alignment of Multimodal Representations
RUNA: Object-level Out-of-Distribution Detection via Regional Uncertainty Alignment of Multimodal Representations
Bin Zhang
Jinggang Chen
Xiaoyang Qu
Guokuan Li
Kai Lu
Jiguang Wan
Jing Xiao
Jianzong Wang
ObjD
41
0
0
28 Mar 2025
VisTa: Visual-contextual and Text-augmented Zero-shot Object-level OOD Detection
VisTa: Visual-contextual and Text-augmented Zero-shot Object-level OOD Detection
Bin Zhang
Xiaoyang Qu
Guokuan Li
Jiguang Wan
Jianzong Wang
VLM
51
0
0
28 Mar 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
52
0
0
27 Mar 2025
Benchmarking Post-Hoc Unknown-Category Detection in Food Recognition
Benchmarking Post-Hoc Unknown-Category Detection in Food Recognition
Lubnaa Abdur Rahman
Ioannis Papathanail
Lorenzo Brigato
S. Mougiakakou
42
0
0
24 Mar 2025
BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors
BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors
Yu Wang
Junxian Mu
Hongzhi Huang
Qilong Wang
Pengfei Zhu
Q. Hu
55
0
0
22 Mar 2025
H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection
H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection
Yuhang Liu
Wenjie Zhao
Yunhui Guo
OODD
72
0
0
19 Mar 2025
Defense Against Model Stealing Based on Account-Aware Distribution Discrepancy
Defense Against Model Stealing Based on Account-Aware Distribution Discrepancy
Jian-Ping Mei
Weibin Zhang
Jie Chen
X. Zhang
Tiantian Zhu
AAML
48
0
0
16 Mar 2025
OODD: Test-time Out-of-Distribution Detection with Dynamic Dictionary
Yifeng Yang
Lin Zhu
Zewen Sun
Hengyu Liu
Qinying Gu
Nanyang Ye
OODD
53
0
0
13 Mar 2025
Evidential Uncertainty Probes for Graph Neural Networks
Linlin Yu
Kangshuo Li
Pritom Kumar Saha
Yifei Lou
Feng Chen
EDL
UQCV
82
0
0
11 Mar 2025
Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies
Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies
Chen Xu
Tony Nguyen
Emma Dixon
Christopher Rodriguez
Patrick "Tree" Miller
Robert Lee
Paarth Shah
Rares Ambrus
Haruki Nishimura
Masha Itkina
OffRL
80
2
0
11 Mar 2025
AdaSCALE: Adaptive Scaling for OOD Detection
Sudarshan Regmi
OODD
52
0
0
11 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
43
0
0
10 Mar 2025
OT-DETECTOR: Delving into Optimal Transport for Zero-shot Out-of-Distribution Detection
Yu Liu
Hao Tang
H. Zhang
Jing Qin
Z. Li
OODD
56
0
0
09 Mar 2025
Secure On-Device Video OOD Detection Without Backpropagation
Secure On-Device Video OOD Detection Without Backpropagation
Li Li
Peilin Cai
Yuxiao Zhou
Zhiyu Ni
Renjie Liang
You Qin
Yi Nian
Z. Tu
Xiyang Hu
Yue Zhao
OODD
FedML
60
2
0
08 Mar 2025
Joint Out-of-Distribution Filtering and Data Discovery Active Learning
Sebastian Schmidt
Leonard Schenk
Leo Schwinn
Stephan Günnemann
65
1
0
04 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
Delving into Out-of-Distribution Detection with Medical Vision-Language Models
Lie Ju
Sijin Zhou
Yukun Zhou
Huimin Lu
Zhuoting Zhu
P. Keane
Zongyuan Ge
VLM
40
0
0
02 Mar 2025
A Guide to Failure in Machine Learning: Reliability and Robustness from Foundations to Practice
Eric Heim
Oren Wright
David Shriver
OOD
FaML
63
0
0
01 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
CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature Leveraging
Zhiwei Ling
Yachen Chang
Hailiang Zhao
Xinkui Zhao
Kingsum Chow
Shuiguang Deng
OODD
58
0
0
01 Mar 2025
OpenEarthSensing: Large-Scale Fine-Grained Benchmark for Open-World Remote Sensing
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
48
0
0
28 Feb 2025
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