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Energy-based Out-of-distribution Detection

8 October 2020

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

50 / 956 papers shown

Title
Open World Object Detection: A Survey Yiming Li Yi Wang Wenqian Wang Dan Lin Bingbing Li Kim-Hui Yap ObjD 332 18 0 01 Jul 2025
Spurious-Aware Prototype Refinement for Reliable Out-of-Distribution Detection Reihaneh Zohrabi Hosein Hasani M. Baghshah Anna Rohrbach Marcus Rohrbach M. Rohban OODD 288 1 0 30 Jun 2025
Keeping Medical AI Healthy and Trustworthy: A Review of Detection and Correction Methods for System Degradation Hao Guan D. Bates Li Zhou OOD 145 4 0 20 Jun 2025
Reliable Few-shot Learning under Dual NoisesIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025 Ji Zhang Jingkuan Song Lianli Gao Andrii Zadaianchuk Heng Tao Shen NoLa 298 7 0 19 Jun 2025
Energy-Based Transfer for Reinforcement Learning Zeyun Deng Jasorsi Ghosh Fiona Xie Yuzhe Lu Katia Sycara Joseph Campbell 133 0 0 19 Jun 2025
TRUST: Transparent, Robust and Ultra-Sparse Trees Albert Dorador 88 2 0 18 Jun 2025
NERO: Explainable Out-of-Distribution Detection with Neuron-level RelevanceInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025 Anju Chhetri Jari Korhonen P. Gyawali Binod Bhattarai OODD 281 1 0 18 Jun 2025
A Variational Information Theoretic Approach to Out-of-Distribution Detection Sudeepta Mondal Zhuolin Jiang G. Sundaramoorthi 165 2 0 17 Jun 2025
Learning to Fuse: Modality-Aware Adaptive Scheduling for Robust Multimodal Foundation Models Liam Bennett Mason Clark Lucas Anderson Hana Satou Olivia Martinez 78 0 0 15 Jun 2025
Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors Tejaswi Kasarla Max van Spengler Pascal Mettes OODD 269 2 0 11 Jun 2025
Improving Out-of-Distribution Detection via Dynamic Covariance Calibration Kaiyu Guo Zijian Wang Tan Pan Brian C. Lovell Mahsa Baktashmotlagh OODD 360 0 0 11 Jun 2025
Inherently Faithful Attention Maps for Vision Transformers Ananthu Aniraj C. Dantas Dino Ienco Diego Marcos OOD OCL 446 1 0 10 Jun 2025
DIsoN: Decentralized Isolation Networks for Out-of-Distribution Detection in Medical Imaging Felix Wagner Pramit Saha Harry Anthony J. A. Noble Konstantinos Kamnitsas OOD 369 0 0 10 Jun 2025
Evidential Spectrum-Aware Contrastive Learning for OOD Detection in Dynamic Graphs Nan Sun Xixun Lin Zhiheng Zhou Yanmin Shang Zhenlin Cheng Yanan Cao OODD 260 0 0 09 Jun 2025
EVINET: Towards Open-World Graph Learning via Evidential Reasoning NetworkKnowledge Discovery and Data Mining (KDD), 2025 Weijie Guan Haohui Wang Jian Kang Lihui Liu Dawei Zhou 166 0 0 08 Jun 2025
Improving Wildlife Out-of-Distribution Detection: Africas Big Five Mufhumudzi Muthivhi Jiahao Huo Fredrik Gustafsson Terence L van Zyl OODD 148 1 0 07 Jun 2025
Enhancing Abnormality Identification: Robust Out-of-Distribution Strategies for Deepfake Detection Luca Maiano Fabrizio Casadei Irene Amerini 166 0 0 03 Jun 2025
Revisiting Reweighted Risk for Calibration: AURC, Focal, and Inverse Focal Loss Han Zhou Sebastian G.Gruber Teodora Popordanoska Matthew B. Blaschko 436 0 0 29 May 2025
Improving Out-of-Distribution Detection with Markov Logic Networks Konstantin Kirchheim F. Ortmeier OODD 164 0 0 28 May 2025
Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision LayerInternational Conference on Learning Representations (ICLR), 2025 Xinyue Hu Zhibin Duan Bo Chen Mingyuan Zhou UQCV BDL 324 2 0 28 May 2025
AquaMonitor: A multimodal multi-view image sequence dataset for real-life aquatic invertebrate biodiversity monitoring Mikko Impio Philipp M. Rehsen Tiina Laamanen Arne J. Beermann Florian Leese Jenni Raitoharju 231 0 0 28 May 2025
Uncertainty Estimation for Heterophilic Graphs Through the Lens of Information Theory Dominik Fuchsgruber Tom Wollschlager Johannes Bordne Stephan Günnemann 200 1 0 28 May 2025
Energy-based Preference Optimization for Test-time Adaptation Yewon Han Seoyun Yang Taesup Kim TTA 490 0 0 26 May 2025
Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression Peijie Dong Zhenheng Tang Xiang Liu Lujun Li Xiaowen Chu Bo Li 398 7 0 26 May 2025
Mahalanobis++: Improving OOD Detection via Feature Normalization Maximilian Mueller Matthias Hein OODD 304 6 0 23 May 2025
Extremely Simple Multimodal Outlier Synthesis for Out-of-Distribution Detection and Segmentation Moru Liu Hao Dong Jessica Kelly Olga Fink Mario Trapp OODD 290 3 0 22 May 2025
TULiP: Test-time Uncertainty Estimation via Linearization and Weight Perturbation Yuhui Zhang Dongshen Wu Yuichiro Wada Takafumi Kanamori OODD 497 1 0 22 May 2025
SpectralGap: Graph-Level Out-of-Distribution Detection via Laplacian Eigenvalue GapsInternational Joint Conference on Artificial Intelligence (IJCAI), 2025 Jiawei Gu Ziyue Qiao Zechao Li 279 2 0 21 May 2025
Adaptive Set-Mass Calibration with Conformal Prediction Daniil Kazantsev Mohsen Guizani Eric Moulines Maxim Panov Nikita Kotelevskii 229 1 0 21 May 2025
Know When to Abstain: Optimal Selective Classification with Likelihood Ratios Alvin Heng Harold Soh 322 0 0 21 May 2025
Learning to Rank Chain-of-Thought: Using a Small Model Eric Hanchen Jiang Haozheng Luo Shengyuan Pang Xiaomin Li Zhenting Qi ... Zongyu Lin Xinfeng Li Hao Xu Kai-Wei Chang Ying Nian Wu LRM 381 2 0 21 May 2025
RePPL: Recalibrating Perplexity by Uncertainty in Semantic Propagation and Language Generation for Explainable QA Hallucination Detection Yiming Huang Junyan Zhang Zihao Wang Biquan Bie Xuming Hu Yi R. Fung 299 0 0 21 May 2025
When to retrain a machine learning model Regol Florence Schwinn Leo Sprague Kyle Coates Mark Markovich Thomas OffRL 204 1 0 20 May 2025
LoD: Loss-difference OOD Detection by Intentionally Label-Noisifying Unlabeled Wild DataInternational Joint Conference on Artificial Intelligence (IJCAI), 2025 Chuanxing Geng Qifei Li Xinrui Wang Dong Liang Songcan Chen Pong C. Yuen 297 1 0 19 May 2025
Humble your Overconfident Networks: Unlearning Overfitting via Sequential Monte Carlo Tempered Deep Ensembles Andrew Millard Zheng Zhao Joshua Murphy Simon Maskell UQCV BDL 232 0 0 16 May 2025
Open Set Domain Adaptation with Vision-language models via Gradient-aware SeparationApplied and Computational Engineering (ACE), 2025 Haoyang Chen VLM 207 0 0 16 May 2025
Real-Time Out-of-Distribution Failure Prevention via Multi-Modal Reasoning Milan Ganai Rohan Sinha Christopher Agia Daniel Morton Marco Pavone Marco Pavone OffRL LRM AI4CE 407 2 0 15 May 2025
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 159 0 0 13 May 2025
Invoke Interfaces Only When Needed: Adaptive Invocation for Large Language Models in Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP), 2025 Jihao Zhao Chunlai Zhou Daixuan Li Shuaishuai Zu Biao Qin 295 0 0 05 May 2025
Recent Advances in Out-of-Distribution Detection with CLIP-Like Models: A Survey Chaohua Li Enhao Zhang Chuanxing Geng Songcan Chen OODD VLM 275 4 0 05 May 2025
Incorporating Inductive Biases to Energy-based Generative Models Yukun Li Li-Ping Liu 342 1 0 02 May 2025
Uncertainty-aware Latent Safety Filters for Avoiding Out-of-Distribution Failures Junwon Seo Kensuke Nakamura Andrea V. Bajcsy 374 8 0 01 May 2025
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 201 0 0 01 May 2025
Graph Synthetic Out-of-Distribution Exposure with Large Language Models Haoyan Xu Zhengtao Yao Ziyi Wang Zhan Cheng Xiyang Hu Mengyuan Li Yue Zhao OODD 437 2 0 29 Apr 2025
GLIP-OOD: Zero-Shot Graph OOD Detection with Graph Foundation Model Haoyan Xu Zhengtao Yao Wei Wei Liang Luo Langzhou He Yushun Dong Philip S. Yu Mengyuan Li Yue Zhao OODD VLM 314 0 0 29 Apr 2025
Open-set Anomaly Segmentation in Complex Scenarios Song Xia Yi Yu Henghui Ding Wenhan Yang Shixuan Liu Alex C. Kot Xudong Jiang DiffM 235 1 0 28 Apr 2025
Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Lars Ullrich Zurab Mujirishvili Knut Graichen 227 2 0 25 Apr 2025
Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection Brian K. S. Isaac-Medina T. Breckon OODD 886 1 0 25 Apr 2025
EPSILON: Adaptive Fault Mitigation in Approximate Deep Neural Network using Statistical Signatures Khurram Khalil K. A. Hoque AAML 272 0 0 24 Apr 2025
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 263 0 0 23 Apr 2025