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Energy-based Out-of-distribution Detection

8 October 2020

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

50 / 847 papers shown

Title
Open World Object Detection: A Survey Yiming Li Yi Wang Wenqian Wang Dan Lin Bingbing Li Kim-Hui Yap ObjD 88 1 0 01 Jul 2025
Energy-Based Transfer for Reinforcement Learning Zeyun Deng Jasorsi Ghosh Fiona Xie Yuzhe Lu Katia Sycara Joseph Campbell 15 0 0 19 Jun 2025
Reliable Few-shot Learning under Dual Noises Ji Zhang Jingkuan Song Lianli Gao N. Sebe Heng Tao Shen NoLa 22 0 0 19 Jun 2025
TRUST: Transparent, Robust and Ultra-Sparse Trees Albert Dorador 10 0 0 18 Jun 2025
NERO: Explainable Out-of-Distribution Detection with Neuron-level Relevance Anju Chhetri Jari Korhonen P. Gyawali Binod Bhattarai OODD 39 0 0 18 Jun 2025
A Variational Information Theoretic Approach to Out-of-Distribution Detection Sudeepta Mondal Zhuolin Jiang G. Sundaramoorthi 20 0 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 15 0 0 15 Jun 2025
Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors Tejaswi Kasarla Max van Spengler Pascal Mettes OODD 69 0 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 96 0 0 11 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 30 0 0 10 Jun 2025
Inherently Faithful Attention Maps for Vision Transformers Ananthu Aniraj C. Dantas Dino Ienco Diego Marcos OOD OCL 23 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 28 0 0 09 Jun 2025
EVINET: Towards Open-World Graph Learning via Evidential Reasoning Network Weijie Guan Haohui Wang Jian Kang Lihui Liu Dawei Zhou 20 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 12 0 0 07 Jun 2025
Enhancing Abnormality Identification: Robust Out-of-Distribution Strategies for Deepfake Detection Luca Maiano Fabrizio Casadei Irene Amerini 54 0 0 03 Jun 2025
Revisiting Reweighted Risk for Calibration: AURC, Focal Loss, and Inverse Focal Loss Han Zhou Sebastian G.Gruber Teodora Popordanoska Matthew B. Blaschko 65 0 0 29 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 73 0 0 28 May 2025
Uncertainty Estimation for Heterophilic Graphs Through the Lens of Information Theory Dominik Fuchsgruber Tom Wollschlager Johannes Bordne Stephan Günnemann 66 0 0 28 May 2025
Improving Out-of-Distribution Detection with Markov Logic Networks Konstantin Kirchheim F. Ortmeier OODD 24 0 0 28 May 2025
Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Xinyue Hu Zhibin Duan Bo Chen Mingyuan Zhou UQCV BDL 166 0 0 28 May 2025
Energy-based Preference Optimization for Test-time Adaptation Yewon Han Seoyun Yang Taesup Kim TTA 278 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 106 0 0 26 May 2025
Mahalanobis++: Improving OOD Detection via Feature Normalization Maximilian Mueller Matthias Hein OODD 127 1 0 23 May 2025
TULiP: Test-time Uncertainty Estimation via Linearization and Weight Perturbation Yuhui Zhang Dongshen Wu Yuichiro Wada Takafumi Kanamori OODD 241 1 0 22 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 40 1 0 22 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 Xinlei He 131 0 0 21 May 2025
SpectralGap: Graph-Level Out-of-Distribution Detection via Laplacian Eigenvalue Gaps Jiawei Gu Ziyue Qiao Zechao Li 125 0 0 21 May 2025
Know When to Abstain: Optimal Selective Classification with Likelihood Ratios Alvin Heng Harold Soh 105 0 0 21 May 2025
Learning to Rank Chain-of-Thought: An Energy-Based Approach with Outcome Supervision Eric Hanchen Jiang Haozheng Luo Shengyuan Pang Xiaomin Li Zhenting Qi ... Zongyu Lin Xinfeng Li Hao Xu Kai-Wei Chang Ying Nian Wu LRM 120 0 0 21 May 2025
Adaptive Temperature Scaling with Conformal Prediction Nikita Kotelevskii Mohsen Guizani Eric Moulines Maxim Panov 46 0 0 21 May 2025
When to retrain a machine learning model Regol Florence Schwinn Leo Sprague Kyle Coates Mark Markovich Thomas OffRL 56 0 0 20 May 2025
LoD: Loss-difference OOD Detection by Intentionally Label-Noisifying Unlabeled Wild Data Chuanxing Geng Qifei Li Xinrui Wang Dong Liang Songcan Chen Pong C. Yuen 83 0 0 19 May 2025
Open Set Domain Adaptation with Vision-language models via Gradient-aware Separation Haoyang Chen VLM 78 0 0 16 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 118 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 OffRL LRM AI4CE 228 0 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 59 0 0 13 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 97 0 0 05 May 2025
Invoke Interfaces Only When Needed: Adaptive Invocation for Large Language Models in Question Answering Jihao Zhao Chunlai Zhou Biao Qin 107 0 0 05 May 2025
Incorporating Inductive Biases to Energy-based Generative Models Yukun Li Li-Ping Liu 111 1 0 02 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 80 0 0 01 May 2025
Uncertainty-aware Latent Safety Filters for Avoiding Out-of-Distribution Failures Junwon Seo Kensuke Nakamura Andrea V. Bajcsy 125 0 0 01 May 2025
GLIP-OOD: Zero-Shot Graph OOD Detection with Graph Foundation Model Haoyan Xu Zhengtao Yao Wei Wei Ziyi Wang Langzhou He Yushun Dong Philip S. Yu Mengyuan Li Yue Zhao OODD VLM 124 0 0 29 Apr 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 210 1 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 85 0 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 112 0 0 25 Apr 2025
Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection Brian K. S. Isaac-Medina T. Breckon OODD 486 0 0 25 Apr 2025
EPSILON: Adaptive Fault Mitigation in Approximate Deep Neural Network using Statistical Signatures Khurram Khalil K. A. Hoque AAML 120 0 0 24 Apr 2025
Energy-Based Pseudo-Label Refining for Source-free Domain Adaptation Xinru Meng Han Sun Qingbin Liu Ningzhong Liu Huiyu Zhou 160 0 0 23 Apr 2025
TrustLoRA: Low-Rank Adaptation for Failure Detection under Out-of-distribution Data Fei Zhu Zhaoxiang Zhang OODD UQCV 120 0 0 20 Apr 2025
Can We Ignore Labels In Out of Distribution Detection? Hong Yang Qi Yu Travis Desel OODD 70 0 0 20 Apr 2025