ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2010.03759
  4. Cited By
Energy-based Out-of-distribution Detection
v1v2v3v4 (latest)

Energy-based Out-of-distribution Detection

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

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

50 / 957 papers shown
Title
Energy-Based Pseudo-Label Refining for Source-free Domain Adaptation
Energy-Based Pseudo-Label Refining for Source-free Domain AdaptationPattern Recognition Letters (Pattern Recogn. Lett.), 2025
Xinru Meng
Han Sun
Qingbin Liu
Ningzhong Liu
Huiyu Zhou
279
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
OODDUQCV
353
1
0
20 Apr 2025
Can We Ignore Labels In Out of Distribution Detection?
Can We Ignore Labels In Out of Distribution Detection?International Conference on Learning Representations (ICLR), 2025
Hong Yang
Qi Yu
Travis Desel
OODD
261
1
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
Yongqian Li
Jindong Li
Zhiqiang Zhang
Qianli Xing
Runliang Niu
Shengsheng Wang
Menglin Yang
VLM
295
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 GraphsInternational Conference on Machine Learning (ICML), 2025
Shenzhi Yang
Bin Liang
An Liu
Lin Gui
Xingkai Yao
Xiaofang Zhang
OODD
446
10
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
920
1
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
314
1
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 GeneralizationAAAI Conference on Artificial Intelligence (AAAI), 2023
Lin Zhu
Yifeng Yang
Zichao Nie
Yuan Gao
VLM
365
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
195
0
0
11 Apr 2025
Revisiting Likelihood-Based Out-of-Distribution Detection by Modeling Representations
Revisiting Likelihood-Based Out-of-Distribution Detection by Modeling RepresentationsScandinavian Conference on Image Analysis (SCIA), 2025
Yifan Ding
Arturas Aleksandrauskas
Amirhossein Ahmadian
Jonas Unger
Fredrik Lindsten
Gabriel Eilertsen
OODD
445
3
0
10 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
335
2
0
07 Apr 2025
Explaining Low Perception Model Competency with High-Competency Counterfactuals
Explaining Low Perception Model Competency with High-Competency Counterfactuals
Sara Pohland
Claire Tomlin
DiffMAAML
267
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
404
0
0
04 Apr 2025
ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery
ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category DiscoveryIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
Shijie Ma
Fei Zhu
Xu-Yao Zhang
Cheng-Lin Liu
280
17
0
02 Apr 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 RepresentationsAAAI Conference on Artificial Intelligence (AAAI), 2025
Bin Zhang
Jinggang Chen
Xiaoyang Qu
Guokuan Li
Kai Lu
Jiguang Wan
Jing Xiao
Jianzong Wang
ObjD
223
1
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 DetectionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
Bin Zhang
Xiaoyang Qu
Guokuan Li
Jiguang Wan
Jianzong Wang
VLM
269
1
0
28 Mar 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
Ziyi Wang
Ryan Rossi
Mengyuan Li
Yue Zhao
OODD
259
7
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
Xinming Zhang
Jiale Du
Xinbo Gao
Jungong Han
OODD
263
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 NetworksComputer Vision and Pattern Recognition (CVPR), 2025
Erik Wallin
Fredrik Kahl
Lars Hammarstrand
OODD
346
1
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
Stavroula Mougiakakou
194
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 PriorsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
Yu Wang
Junxian Mu
Hongzhi Huang
Qilong Wang
Q. Hu
Q. Hu
472
5
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 DetectionComputer Vision and Pattern Recognition (CVPR), 2025
Yuhang Liu
Wenjie Zhao
Yunhui Guo
OODD
219
2
0
19 Mar 2025
Defense Against Model Stealing Based on Account-Aware Distribution Discrepancy
Defense Against Model Stealing Based on Account-Aware Distribution DiscrepancyAAAI Conference on Artificial Intelligence (AAAI), 2025
Jian-Ping Mei
Weibin Zhang
Jie Chen
Xinyu Zhang
Tiantian Zhu
AAML
201
0
0
16 Mar 2025
OODD: Test-time Out-of-Distribution Detection with Dynamic DictionaryComputer Vision and Pattern Recognition (CVPR), 2025
Yifeng Yang
Lin Zhu
Zewen Sun
Hengyu Liu
Qinying Gu
Nanyang Ye
OODD
285
2
0
13 Mar 2025
AdaSCALE: Adaptive Scaling for OOD Detection
AdaSCALE: Adaptive Scaling for OOD Detection
Sudarshan Regmi
OODD
483
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 Miller
Robert Lee
Paarth Shah
Rares Andrei Ambrus
Haruki Nishimura
Masha Itkina
OffRL
504
12
0
11 Mar 2025
Evidential Uncertainty Probes for Graph Neural NetworksInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Linlin Yu
Kangshuo Li
Pritom Kumar Saha
Yifei Lou
Feng Chen
EDLUQCV
377
0
0
11 Mar 2025
Revisiting Out-of-Distribution Detection in Real-time Object Detection: From Benchmark Pitfalls to a New Mitigation Paradigm
Revisiting Out-of-Distribution Detection in Real-time Object Detection: From Benchmark Pitfalls to a New Mitigation Paradigm
Weicheng He
Changshun Wu
Chih-Hong Cheng
Xiaowei Huang
Saddek Bensalem
OODD
359
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 DetectionInternational Joint Conference on Artificial Intelligence (IJCAI), 2025
Yu Liu
Hao Tang
Haiqi Zhang
Jing Qin
Hao Sun
OODD
426
2
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
Zhuowen Tu
Xiyang Hu
Yue Zhao
OODDFedML
271
8
0
08 Mar 2025
Joint Out-of-Distribution Filtering and Data Discovery Active LearningComputer Vision and Pattern Recognition (CVPR), 2025
Sebastian Schmidt
Leonard Schenk
Leo Schwinn
Stephan Günnemann
329
5
0
04 Mar 2025
Open-Insect: Benchmarking Open-Set Recognition of Novel Species in Biodiversity Monitoring
Open-Insect: Benchmarking 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
467
1
0
03 Mar 2025
Delving into Out-of-Distribution Detection with Medical Vision-Language ModelsInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
Lie Ju
Sijin Zhou
Yukun Zhou
Huimin Lu
Zhuoting Zhu
P. Keane
Zongyuan Ge
VLM
262
1
0
02 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
250
2
0
01 Mar 2025
CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature LeveragingComputer Vision and Pattern Recognition (CVPR), 2025
Zhiwei Ling
Yachen Chang
Hailiang Zhao
Xinkui Zhao
Kingsum Chow
Shuiguang Deng
OODD
424
2
0
01 Mar 2025
A Guide to Failure in Machine Learning: Reliability and Robustness from Foundations to Practice
Eric Heim
Oren Wright
David Shriver
OODFaML
327
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
Yuwen Tan
Yifan Liang
Ke Chen
Qingfang Zheng
Yaowei Wang
Xilin Chen
Wen Gao
VLM
362
3
0
28 Feb 2025
Improving Open-world Continual Learning under the Constraints of Scarce Labeled Data
Improving Open-world Continual Learning under the Constraints of Scarce Labeled Data
Yongbin Li
Xiangkun Wang
Xin Yang
Marcello Bonsangue
Jing Zhang
Tianrui Li
CLLVLM
356
1
0
28 Feb 2025
Exploring Open-world Continual Learning with Knowns-Unknowns Knowledge Transfer
Exploring Open-world Continual Learning with Knowns-Unknowns Knowledge Transfer
Yujie Li
Guannan Lai
Xin Yang
Yongbin Li
Marcello Bonsangue
Tianrui Li
CLLVLM
352
1
0
27 Feb 2025
Revisiting Kernel Attention with Correlated Gaussian Process Representation
Revisiting Kernel Attention with Correlated Gaussian Process RepresentationConference on Uncertainty in Artificial Intelligence (UAI), 2025
Long Minh Bui
Tho Tran Huu
Duy-Tung Dinh
T. Nguyen
Trong Nghia Hoang
336
5
0
27 Feb 2025
HALO: Robust Out-of-Distribution Detection via Joint Optimisation
HALO: Robust Out-of-Distribution Detection via Joint Optimisation
Hugo Lyons Keenan
S. Erfani
Christopher Leckie
OODD
504
0
0
27 Feb 2025
Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach
Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based ApproachComputer Vision and Pattern Recognition (CVPR), 2025
Chen-Chen Zong
Sheng-Jun Huang
EDL
432
3
0
27 Feb 2025
Shh, don't say that! Domain Certification in LLMs
Shh, don't say that! Domain Certification in LLMsInternational Conference on Learning Representations (ICLR), 2025
Cornelius Emde
Alasdair Paren
Preetham Arvind
Maxime Kayser
Tom Rainforth
Thomas Lukasiewicz
Guohao Li
Juil Sock
Adel Bibi
319
4
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 GraphsInternational Conference on Learning Representations (ICLR), 2025
Yuhan Chen
Yihong Luo
Yifan Song
Pengwen Dai
Jing Tang
Xiaochun Cao
OODD
394
6
0
25 Feb 2025
HOpenCls: Training Hyperspectral Image Open-Set Classifiers in Their Living Environments
HOpenCls: Training Hyperspectral Image Open-Set Classifiers in Their Living Environments
Hengwei Zhao
Xinyu Wang
Zhuo Zheng
Jingtao Li
Yanfei Zhong
VLM
225
0
0
24 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
208
0
0
23 Feb 2025
Harnessing Feature Resonance under Arbitrary Target Alignment for Out-of-Distribution Node Detection
Harnessing Feature Resonance under Arbitrary Target Alignment for Out-of-Distribution Node Detection
Shenzhi Yang
Junbo Zhao
Shouqing Yang
Shouqing Yang
Dingyu Yang
Xiaofang Zhang
Haobo Wang
OODD
333
0
0
22 Feb 2025
Detecting OOD Samples via Optimal Transport Scoring Function
Detecting OOD Samples via Optimal Transport Scoring FunctionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
Heng Gao
Zhuolin He
Jian Pu
OODD
129
0
0
22 Feb 2025
TS-OOD: Evaluating Time-Series Out-of-Distribution Detection and Prospective Directions for Progress
Onat Gungor
Amanda Rios
Nilesh A. Ahuja
T. Rosing
OODDAI4TS
329
2
0
21 Feb 2025
Leveraging Intermediate Representations for Better Out-of-Distribution Detection
Leveraging Intermediate Representations for Better Out-of-Distribution Detection
Gianluca Guglielmo
Marc Masana
OODD
250
1
0
18 Feb 2025
Previous
12345...181920
Next