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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
Revisiting CLIP for SF-OSDA: Unleashing Zero-Shot Potential with Adaptive Threshold and Training-Free Feature Filtering Yongqian Li Jindong Li Qi Wang Qianli Xing Runliang Niu Shengsheng Wang Menglin Yang VLM 130 0 0 19 Apr 2025
Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs Shenzhi Yang Bin Liang An Liu Lin Gui Xingkai Yao Xiaofang Zhang OODD 198 4 0 18 Apr 2025
Energy-Based Reward Models for Robust Language Model Alignment Anamika Lochab Ruqi Zhang 427 0 0 17 Apr 2025
Enhancing Out-of-Distribution Detection with Extended Logit Normalization Yifan Ding Xixi Liu Jonas Unger Gabriel Eilertsen OODD 76 0 0 15 Apr 2025
Bayesian Cross-Modal Alignment Learning for Few-Shot Out-of-Distribution Generalization Lin Zhu Yifeng Yang Zichao Nie Yuan Gao VLM 89 0 0 13 Apr 2025
Proxy-Anchor and EVT-Driven Continual Learning Method for Generalized Category Discovery Alireza Fathalizadeh Roozbeh Razavi-Far CLL 82 0 0 11 Apr 2025
Revisiting Likelihood-Based Out-of-Distribution Detection by Modeling Representations Yifan Ding Arturas Aleksandrauskas Amirhossein Ahmadian Jonas Unger Fredrik Lindsten Gabriel Eilertsen OODD 91 1 0 10 Apr 2025
Explaining Low Perception Model Competency with High-Competency Counterfactuals Sara Pohland Claire Tomlin DiffM AAML 95 0 0 07 Apr 2025
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 94 0 0 07 Apr 2025
EOOD: Entropy-based Out-of-distribution Detection Guide Yang Chao Hou Weilong Peng Xiang Fang Yongwei Nie Peican Zhu Keke Tang OODD 143 0 0 04 Apr 2025
ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery Shijie Ma Fei Zhu Xu-Yao Zhang Cheng-Lin Liu 94 3 0 02 Apr 2025
VisTa: Visual-contextual and Text-augmented Zero-shot Object-level OOD Detection Bin Zhang Xiaoyang Qu Guokuan Li Jiguang Wan Jianzong Wang VLM 142 1 0 28 Mar 2025
Few-Shot Graph Out-of-Distribution Detection with LLMs Haoyan Xu Zhengtao Yao Yushun Dong Ziyi Wang Ryan Rossi Mengyuan Li Yue Zhao OODD 123 3 0 28 Mar 2025
Extremely Simple Out-of-distribution Detection for Audio-visual Generalized Zero-shot Learning Yang Liu Xinming Zhang Jiale Du Xinbo Gao Jungong Han OODD 92 0 0 28 Mar 2025
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 79 1 0 28 Mar 2025
ProHOC: Probabilistic Hierarchical Out-of-Distribution Classification via Multi-Depth Networks Erik Wallin Fredrik Kahl Lars Hammarstrand OODD 93 0 0 27 Mar 2025
Benchmarking Post-Hoc Unknown-Category Detection in Food Recognition Lubnaa Abdur Rahman Ioannis Papathanail Lorenzo Brigato Stavroula Mougiakakou 63 0 0 24 Mar 2025
BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors Yu Wang Junxian Mu Hongzhi Huang Qilong Wang Pengfei Zhu Q. Hu 238 1 0 22 Mar 2025
H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection Yuhang Liu Wenjie Zhao Yunhui Guo OODD 99 1 0 19 Mar 2025
Defense Against Model Stealing Based on Account-Aware Distribution Discrepancy Jian-Ping Mei Weibin Zhang Jie Chen Xinyu Zhang Tiantian Zhu AAML 87 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 111 1 0 13 Mar 2025
Evidential Uncertainty Probes for Graph Neural Networks Linlin Yu Kangshuo Li Pritom Kumar Saha Yifei Lou Feng Chen EDL UQCV 169 0 0 11 Mar 2025
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 258 3 0 11 Mar 2025
AdaSCALE: Adaptive Scaling for OOD Detection Sudarshan Regmi OODD 107 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 102 0 0 10 Mar 2025
OT-DETECTOR: Delving into Optimal Transport for Zero-shot Out-of-Distribution Detection Yu Liu Hao Tang Haiqi Zhang Jing Qin Zechao Li OODD 110 2 0 09 Mar 2025
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 OODD FedML 123 4 0 08 Mar 2025
Joint Out-of-Distribution Filtering and Data Discovery Active Learning Sebastian Schmidt Leonard Schenk Leo Schwinn Stephan Günnemann 163 2 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 144 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 100 0 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 91 0 0 01 Mar 2025
A Guide to Failure in Machine Learning: Reliability and Robustness from Foundations to Practice Eric Heim Oren Wright David Shriver OOD FaML 130 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 134 1 0 01 Mar 2025
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 138 0 0 28 Feb 2025
Improving Open-world Continual Learning under the Constraints of Scarce Labeled Data Yongbin Li Xiangkun Wang Xin Yang Marcello Bonsangue Jing Zhang Tianrui Li CLL VLM 112 0 0 28 Feb 2025
Exploring Open-world Continual Learning with Knowns-Unknowns Knowledge Transfer Yujie Li Guannan Lai Xin Yang Yongbin Li Marcello Bonsangue Tianrui Li CLL VLM 160 0 0 27 Feb 2025
HALO: Robust Out-of-Distribution Detection via Joint Optimisation Hugo Lyons Keenan S. Erfani Christopher Leckie OODD 271 0 0 27 Feb 2025
Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach Chen-Chen Zong Sheng-Jun Huang EDL 163 0 0 27 Feb 2025
Revisiting Kernel Attention with Correlated Gaussian Process Representation Long Minh Bui Tho Tran Huu Duy-Tung Dinh T. Nguyen Trong Nghia Hoang 127 2 0 27 Feb 2025
Shh, don't say that! Domain Certification in LLMs Cornelius Emde Alasdair Paren Preetham Arvind Maxime Kayser Tom Rainforth Thomas Lukasiewicz Guohao Li Philip Torr Adel Bibi 114 2 0 26 Feb 2025
Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs Yuhan Chen Yihong Luo Yifan Song Pengwen Dai Jing Tang Xiaochun Cao OODD 117 2 0 25 Feb 2025
HOpenCls: Training Hyperspectral Image Open-Set Classifiers in Their Living Environments Hengwei Zhao Xinyu Wang Zhuo Zheng Jingtao Li Yanfei Zhong VLM 74 0 0 24 Feb 2025
DOSE3 : Diffusion-based Out-of-distribution detection on SE(3) trajectories Hongzhe Cheng Tianyou Zheng Tianyi Zhang Matthew Johnson-Roberson Weiming Zhi DiffM 99 0 0 23 Feb 2025
Category-free Out-of-Distribution Node Detection with Feature Resonance Shenzhi Yang Junbo Zhao Shouqing Yang Yixuan Li Dingyu Yang Xiaofang Zhang Haobo Wang OODD 83 0 0 22 Feb 2025
Detecting OOD Samples via Optimal Transport Scoring Function Heng Gao Zhuolin He Jian Pu OODD 59 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 OODD AI4TS 80 1 0 21 Feb 2025
Leveraging Intermediate Representations for Better Out-of-Distribution Detection Gianluca Guglielmo Marc Masana OODD 122 0 0 18 Feb 2025
A Survey of Text Classification Under Class Distribution Shift Adriana Valentina Costache Silviu Florin Gheorghe Eduard Poesina Paul Irofti Radu Tudor Ionescu OOD VLM 129 0 0 18 Feb 2025
Benchmarking Predictive Coding Networks -- Made Simple Luca Pinchetti Chang Qi Oleh Lokshyn Gaspard Olivers Cornelius Emde ... Simon Frieder Bayar I. Menzat Rafal Bogacz Thomas Lukasiewicz Tommaso Salvatori 191 7 0 17 Feb 2025
Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey Ruiyao Xu Kaize Ding 123 7 0 17 Feb 2025