v1v2v3v4 (latest)

Energy-based Out-of-distribution Detection

8 October 2020

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

50 / 956 papers shown

Title
Credal Graph Neural Networks Matteo Tolloso Davide Bacciu UQCV 241 0 0 02 Dec 2025
TIE: A Training-Inversion-Exclusion Framework for Visually Interpretable and Uncertainty-Guided Out-of-Distribution Detection Pirzada Suhail Rehna Afroz Amit Sethi OODD 192 0 0 28 Nov 2025
Calibration-Free EEG-based Driver Drowsiness Detection with Online Test-Time Adaptation Geun-Deok Jang Dong-Kyun Han Seo-Hyeon Park Seong-Whan Lee 32 0 0 27 Nov 2025
Continual Error Correction on Low-Resource DevicesACM SIGMM Conference on Multimedia Systems (MMSys), 2025 Kirill Paramonov Mete Ozay Aristeidis Mystakidis Nikolaos Tsalikidis Dimitrios Sotos ... Sangdok Mo Namwoong Kim Woojong Yoo J. Moon Umberto Michieli CLL VLM 193 0 0 26 Nov 2025
RankOOD - Class Ranking-based Out-of-Distribution Detection Dishanika Denipitiyage Naveen Karunanayake Suranga Seneviratne Sanjay Chawla OODD 136 0 0 25 Nov 2025
Robust Multimodal Sentiment Analysis of Image-Text Pairs by Distribution-Based Feature Recovery and FusionACM Multimedia (MM), 2024 Daiqing Wu Dongbao Yang Can Ma Yu Zhou 193 6 0 24 Nov 2025
SupLID: Geometrical Guidance for Out-of-Distribution Detection in Semantic SegmentationInternational Conference on Information and Knowledge Management (CIKM), 2025 Nimeshika Udayangani S. Erfani Christopher Leckie OODD 120 1 0 24 Nov 2025
A Variance-Based Analysis of Sample Complexity for Grid Coverage Lyu Yuhuan 164 3 0 21 Nov 2025
SG-OIF: A Stability-Guided Online Influence Framework for Reliable Vision Data Penghao Rao Runmin Jiang Min Xu 82 0 0 21 Nov 2025
Exploiting Inter-Sample Information for Long-tailed Out-of-Distribution DetectionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2025 Nimeshika Udayangani H. M. Dolatabadi S. Erfani C. Leckie OODD 322 0 0 20 Nov 2025
TSRE: Channel-Aware Typical Set Refinement for Out-of-Distribution Detection Weijun Gao Rundong He Jinyang Dong Yongshun Gong OODD 330 0 0 19 Nov 2025
Knowledge Graphs as Structured Memory for Embedding Spaces: From Training Clusters to Explainable Inference A. A. Oliveira Mateus Espadoto Roberto Hirata Jr. Roberto Hirata Jr. 73 0 0 18 Nov 2025
ProtoAnomalyNCD: Prototype Learning for Multi-class Novel Anomaly Discovery in Industrial Scenarios Botong Zhao Qijun Shi Shujing Lyu Yue Lu 145 0 0 17 Nov 2025
BootOOD: Self-Supervised Out-of-Distribution Detection via Synthetic Sample Exposure under Neural Collapse Yuanchao Wang Tian Qin Eduardo Valle Bruno Abrahao OODD 201 0 0 17 Nov 2025
Calibrated Decomposition of Aleatoric and Epistemic Uncertainty in Deep Features for Inference-Time Adaptation Divake Kumar Patrick Poggi Sina Tayebati Devashri Naik Nilesh Ahuja A. R. Trivedi UD PER 172 0 0 15 Nov 2025
A Systematic Analysis of Out-of-Distribution Detection Under Representation and Training Paradigm Shifts C. César Claros Olivares Austin J. Brockmeier OODD 184 0 0 14 Nov 2025
CATCHFed: Efficient Unlabeled Data Utilization for Semi-Supervised Federated Learning in Limited Labels Environments Byoungjun Park Pedro Porto Buarque de Gusmão Dongjin Ji Minhoe Kim 147 0 0 14 Nov 2025
Benchmarking GNNs for OOD Materials Property Prediction with Uncertainty Quantification Liqin Tan Pin Chen Menghan Liu Xiean Wang Jianhuan Cen Qingsong Zou OOD 195 0 0 12 Nov 2025
Automatic Grid Updates for Kolmogorov-Arnold Networks using Layer Histograms Jamison Moody James Usevitch 141 0 0 11 Nov 2025
Improving Long-Range Interactions in Graph Neural Simulators via Hamiltonian Dynamics Tai Hoang Alessandro Trenta Alessio Gravina Niklas Freymuth P. Becker D. Bacciu Gerhard Neumann AI4CE 109 0 0 11 Nov 2025
Relative Energy Learning for LiDAR Out-of-Distribution Detection Zizhao Li Zhengkang Xiang Jiayang Ao Joseph West Kourosh Khoshelham OODD 382 0 0 10 Nov 2025
ClusterMine: Robust Label-Free Visual Out-Of-Distribution Detection via Concept Mining from Text Corpora Nikolas Adaloglou Diana Petrusheva Mohamed Asker Félix D. P. Michels M. Kollmann OODD 120 0 0 10 Nov 2025
Perturbations in the Orthogonal Complement Subspace for Efficient Out-of-Distribution Detection Zhexiao Huang Weihao He Shutao Deng Junzhe Chen Chao Yuan Hongxin Wang Changsheng Zhou OODD 270 0 0 02 Nov 2025
Out-of-Distribution Detection for Safety Assurance of AI and Autonomous Systems Victoria Hodge Colin Paterson Ibrahim Habli 84 0 0 24 Oct 2025
Revisiting Logit Distributions for Reliable Out-of-Distribution Detection Jiachen Liang Ruibing Hou Minyang Hu Hong Chang Shiguang Shan Xilin Chen OODD 240 0 0 23 Oct 2025
GOOD: Training-Free Guided Diffusion Sampling for Out-of-Distribution Detection Xin Gao Jiyao Liu Guanghao Li Yueming Lyu Jianxiong Gao ... Ningsheng Xu Liang Wang Caifeng Shan Ziwei Liu Chenyang Si 199 0 0 20 Oct 2025
Beyond Binary Out-of-Distribution Detection: Characterizing Distributional Shifts with Multi-Statistic Diffusion Trajectories Achref Jaziri Martin Rogmann Martin Mundt Visvanathan Ramesh 197 0 0 20 Oct 2025
Benchmarking Out-of-Distribution Detection for Plankton Recognition: A Systematic Evaluation of Advanced Methods in Marine Ecological Monitoring Yingzi Han Jiakai He Chuanlong Xie Jianping Li OODD 137 0 0 20 Oct 2025
ReefNet: A Large scale, Taxonomically Enriched Dataset and Benchmark for Hard Coral Classification Yahia Battach Abdulwahab Felemban Faizan Farooq Khan Yousef Radwan Xiang Li Fabio Marchese Sara Beery Burton H. Jones Francesca Benzoni Mohamed Elhoseiny 126 0 0 19 Oct 2025
Information Theory in Open-world Machine Learning Foundations, Frameworks, and Future Direction Lin Wang 204 0 0 17 Oct 2025
Selective Labeling with False Discovery Rate Control Huipeng Huang Wenbo Liao Huajun Xi Hao Zeng Mengchen Zhao Hongxin Wei 108 1 0 16 Oct 2025
Towards Adversarial Robustness and Uncertainty Quantification in DINOv2-based Few-Shot Anomaly Detection Akib Mohammed Khan Bartosz Krawczyk AAML 100 0 0 15 Oct 2025
A Multi-dimensional Semantic Surprise Framework Based on Low-Entropy Semantic Manifolds for Fine-Grained Out-of-Distribution Detection Ningkang Peng Yuzhe Mao Yuhao Zhang Linjin Qian Qianfeng Yu Yanhui Gu Yi Chen Li Kong 92 0 0 15 Oct 2025
Generation Space Size: Understanding and Calibrating Open-Endedness of LLM Generations Sunny Yu Ahmad Jabbar Robert Hawkins Dan Jurafsky Myra Cheng 156 1 0 14 Oct 2025
Local Background Features Matter in Out-of-Distribution Detection Jinlun Ye Zhuohao Sun Yiqiao Qiu Qiu Li Zhijun Tan Ruixuan Wang OODD 205 0 0 14 Oct 2025
Equipping Vision Foundation Model with Mixture of Experts for Out-of-Distribution Detection Shizhen Zhao Jiahui Liu Xin Wen Haoru Tan Xiaojuan Qi OODD VLM 214 0 0 12 Oct 2025
A Machine Learning Perspective on Automated Driving Corner Cases Sebastian Schmidt Julius Körner Stephan Günnemann 148 0 0 12 Oct 2025
Verifying Chain-of-Thought Reasoning via Its Computational Graph Zheng Zhao Yeskendir Koishekenov Xianjun Yang Naila Murray Nicola Cancedda LRM 123 1 0 10 Oct 2025
HSNet: Heterogeneous Subgraph Network for Single Image Super-resolution Qiongyang Hu Wenyang Liu Wenbin Zou Yuejiao Su Lap-Pui Chau Yi Wang 132 0 0 08 Oct 2025
EigenScore: OOD Detection using Covariance in Diffusion Models Shirin Shoushtari Yi Wang Xiao Shi M. Salman Asif Ulugbek S. Kamilov DiffM 104 0 0 08 Oct 2025
Hi-OSCAR: Hierarchical Open-set Classifier for Human Activity Recognition Conor McCarthy Loes Quirijnen Jan Peter van Zandwijk Z. Geradts M. Worring 79 1 0 08 Oct 2025
Mysteries of the Deep: Role of Intermediate Representations in Out of Distribution Detection I. M. De la Jara C. Rodriguez-Opazo D. Teney D. Ranasinghe E. Abbasnejad OODD 299 0 0 07 Oct 2025
A Median Perspective on Unlabeled Data for Out-of-Distribution Detection Momin Abbas Ali Falahati Hossein Goli Mohammad Mohammadi Amiri 148 1 0 07 Oct 2025
Human Texts Are Outliers: Detecting LLM-generated Texts via Out-of-distribution Detection Cong Zeng Shengkun Tang Yuanzhou Chen Zhiqiang Shen Wenchao Yu Xujiang Zhao H. Chen Wei Cheng zhiqiang xu DeLMO OODD 194 1 0 07 Oct 2025
Confidence and Dispersity as Signals: Unsupervised Model Evaluation and Ranking Weijian Deng Weijie Tu Ibrahim Radwan Mohammad Abu Alsheikh Stephen Gould Liang Zheng 120 0 0 03 Oct 2025
Knowledge Distillation Detection for Open-weights Models Qin Shi Amber Yijia Zheng Qifan Song Raymond A. Yeh 173 0 0 02 Oct 2025
Uncovering Overconfident Failures in CXR Models via Augmentation-Sensitivity Risk Scoring Han-Jay Shu Wei-Ning Chiu Shun-Ting Chang Meng-Ping Huang Takeshi Tohyama Ahram Han Po-Chih Kuo 64 0 0 02 Oct 2025
SCOPED: Score-Curvature Out-of-distribution Proximity Evaluator for Diffusion Brett Barkley Preston Culbertson David Fridovich-Keil 162 0 0 01 Oct 2025
Can Molecular Foundation Models Know What They Don't Know? A Simple Remedy with Preference Optimization Langzhou He Junyou Zhu Fangxin Wang Junhua Liu Haoyan Xu Yue Zhao Philip S.Yu Qitian Wu 110 0 0 29 Sep 2025
Can Less Precise Be More Reliable? A Systematic Evaluation of Quantization's Impact on CLIP Beyond Accuracy Aymen Bouguerra Daniel Montoya Alexandra Gomez-Villa Fabio Arnez Chokri Mraidha UQCV 296 0 0 25 Sep 2025