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Energy-based Out-of-distribution Detection

8 October 2020

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

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Title
A Decision-driven Methodology for Designing Uncertainty-aware AI Self-Assessment Charles Oredola Vladimir Leung Adnan Ashraf Eric Heim I-Jeng Wang 83 1 0 02 Aug 2024
DECIDER: Leveraging Foundation Model Priors for Improved Model Failure Detection and Explanation Rakshith Subramanyam Kowshik Thopalli V. Narayanaswamy Jayaraman J.Thiagarajan 76 3 0 01 Aug 2024
Resilience and Security of Deep Neural Networks Against Intentional and Unintentional Perturbations: Survey and Research Challenges Sazzad Sayyed Milin Zhang Shahriar Rifat A. Swami Michael De Lucia Francesco Restuccia 106 1 0 31 Jul 2024
Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey Atsuyuki Miyai Jingkang Yang Jingyang Zhang Yifei Ming Sisir Dhakal ... Yixuan Li Hai "Helen" Li Ziwei Liu Toshihiko Yamasaki Kiyoharu Aizawa 135 13 0 31 Jul 2024
Detecting Unsafe Behavior in Neural Network Imitation Policies for Caregiving Robotics Andrii Tytarenko OffRL 89 0 0 29 Jul 2024
Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions Kai-Chun Liu Zhihang Fu Chao Chen Sheng Jin Ze Chen Mingyuan Tao Rongxin Jiang Jieping Ye VLM OODD 106 5 0 23 Jul 2024
Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution Kai-Chun Liu Zhihang Fu Sheng Jin Chao Chen Ze Chen Rongxin Jiang Fan Zhou Yao-Shen Chen Jieping Ye OODD 84 0 0 23 Jul 2024
STAMP: Outlier-Aware Test-Time Adaptation with Stable Memory Replay Yongcan Yu Lijun Sheng Ran He Jian Liang TTA 85 6 0 22 Jul 2024
Towards Open-World Object-based Anomaly Detection via Self-Supervised Outlier Synthesis Brian K. S. Isaac-Medina Yona Falinie A. Gaus Neelanjan Bhowmik T. Breckon 78 2 0 22 Jul 2024
ESCAPE: Energy-based Selective Adaptive Correction for Out-of-distribution 3D Human Pose Estimation Luke Bidulka Mohsen Gholami Jiannan Zheng Martin J. McKeown Z. J. Wang 3DH 73 1 0 19 Jul 2024
Out-of-Distribution Detection through Soft Clustering with Non-Negative Kernel Regression Aryan Gulati Xingjian Dong Carlos Hurtado Sarath Shekkizhar Swabha Swayamdipta Antonio Ortega OODD 81 2 0 18 Jul 2024
Improving GPU Multi-Tenancy Through Dynamic Multi-Instance GPU Reconfiguration Tianyu Wang Sheng Li Bingyao Li Yuezhen Dai Ao Li Geng Yuan Yufei Ding Youtao Zhang Xulong Tang 98 0 0 18 Jul 2024
Uncertainty Calibration with Energy Based Instance-wise Scaling in the Wild Dataset Mijoo Kim Junseok Kwon UQCV 66 1 0 17 Jul 2024
ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection Erik Wallin Lennart Svensson Fredrik Kahl Lars Hammarstrand OODD 90 2 0 16 Jul 2024
Understanding the Dependence of Perception Model Competency on Regions in an Image Sara Pohland Claire Tomlin 68 1 0 15 Jul 2024
One Stone, Four Birds: A Comprehensive Solution for QA System Using Supervised Contrastive Learning Bo Wang Tsunenori Mine AAML 103 0 0 12 Jul 2024
LAPT: Label-driven Automated Prompt Tuning for OOD Detection with Vision-Language Models Yabin Zhang Wenjie Zhu Chenhang He Lei Zhang VLM 134 8 0 12 Jul 2024
Real-Time Anomaly Detection and Reactive Planning with Large Language Models Rohan Sinha Amine Elhafsi Christopher Agia Matthew Foutter Edward Schmerling Marco Pavone OffRL LRM 94 32 0 11 Jul 2024
Improving Out-of-Distribution Detection by Combining Existing Post-hoc Methods Paul Novello Yannick Prudent Joseba Dalmau Corentin Friedrich Y. Pequignot OODD 71 1 0 09 Jul 2024
OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental Learning Wenjun Miao Guansong Pang Trong-Tung Nguyen Ruohang Fang Jin Zheng Xiao Bai OODD 141 3 0 08 Jul 2024
Introducing Ínside' Out of Distribution Teddy Lazebnik 118 1 0 05 Jul 2024
Beyond Pixels: Semi-Supervised Semantic Segmentation with a Multi-scale Patch-based Multi-Label Classifier Prantik Howlader Srijan Das Hieu M. Le Dimitris Samaras 111 6 0 04 Jul 2024
Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila 103 1 0 04 Jul 2024
FlowCon: Out-of-Distribution Detection using Flow-Based Contrastive Learning Saandeep Aathreya Shaun J. Canavan OODD 66 0 0 03 Jul 2024
OpenSlot: Mixed Open-Set Recognition with Object-Centric Learning Xu Yin Fei Pan G. An Yuchi Huo Zixuan Xie Sung-eui Yoon BDL VLM 156 1 0 02 Jul 2024
Towards Multimodal Open-Set Domain Generalization and Adaptation through Self-supervision Hao Dong Eleni Chatzi Olga Fink 74 7 0 01 Jul 2024
Robustness Testing of Black-Box Models Against CT Degradation Through Test-Time Augmentation Jack Highton Quok Zong Chong Samuel Finestone A. Beqiri Julia A. Schnabel K. Bhatia OOD 70 1 0 27 Jun 2024
SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation Zijun Yao Weijian Qi Liangming Pan S. Cao Linmei Hu Weichuan Liu Lei Hou Juanzi Li RALM 73 6 0 27 Jun 2024
Improving Taxonomic Image-based Out-of-distribution Detection With DNA Barcodes Mikko Impio Jenni Raitoharju OODD 47 1 0 27 Jun 2024
Exploring Energy-Based Models for Out-of-Distribution Detection in Dialect Identification Yaqian Hao Chenguang Hu Yingying Gao Shilei Zhang Junlan Feng 62 0 0 26 Jun 2024
On Calibration of Speech Classification Models: Insights from Energy-Based Model Investigations Yaqian Hao Chenguang Hu Yingying Gao Shilei Zhang Junlan Feng 69 1 0 26 Jun 2024
Boosting Few-Shot Open-Set Object Detection via Prompt Learning and Robust Decision Boundary Zhaowei Wu Binyi Su Qichuan Geng Hua Zhang Zhong Zhou EDL 88 0 0 26 Jun 2024
Learning Run-time Safety Monitors for Machine Learning Components Ozan Vardal Richard Hawkins Colin Paterson Chiara Picardi Daniel Omeiza Lars Kunze Ibrahim Habli 70 0 0 23 Jun 2024
Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection Eduardo Dadalto F. Alberge Pierre Duhamel Pablo Piantanida OODD 91 0 0 23 Jun 2024
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors Peter Lorenz Mario Fernandez Jens Müller Ullrich Kothe AAML 244 1 0 21 Jun 2024
SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation Yixia Li Boya Xiong Guanhua Chen Yun Chen OODD 99 4 0 18 Jun 2024
Deep Bayesian Active Learning for Preference Modeling in Large Language Models Luckeciano C. Melo P. Tigas Alessandro Abate Yarin Gal 122 11 0 14 Jun 2024
How Out-of-Distribution Detection Learning Theory Enhances Transformer: Learnability and Reliability Yijin Zhou Yutang Ge Xiaowen Dong Yuguang Wang 101 0 0 13 Jun 2024
Predictive Dynamic Fusion Bing Cao Yinan Xia Yi Ding Changqing Zhang Qinghua Hu 76 11 0 07 Jun 2024
FOOD: Facial Authentication and Out-of-Distribution Detection with Short-Range FMCW Radar Sabri Mustafa Kahya Boran Hamdi Sivrikaya Muhammet Sami Yavuz Eckehard Steinbach CVBM 79 3 0 06 Jun 2024
Generalized Source Tracing: Detecting Novel Audio Deepfake Algorithm with Real Emphasis and Fake Dispersion Strategy Yuankun Xie Ruibo Fu Zhengqi Wen Zhiyong Wang Xiaopeng Wang Haonnan Cheng Long Ye Jianhua Tao 95 7 0 05 Jun 2024
Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputation Mohamed Ragab Peiliang Gong Emadeldeen Eldele Wenyu Zhang Min-man Wu Chuan-Sheng Foo Daoqiang Zhang Xiaoli Li Zhenghua Chen TTA AI4TS 103 3 0 04 Jun 2024
Can Dense Connectivity Benefit Outlier Detection? An Odyssey with NAS Hao Fu Tunhou Zhang Hai Li Yiran Chen 70 0 0 04 Jun 2024
Zero-Shot Out-of-Distribution Detection with Outlier Label Exposure Choubo Ding Guansong Pang OODD VLM 113 4 0 03 Jun 2024
Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection Chentao Cao Zhun Zhong Zhanke Zhou Yang Liu Tongliang Liu Bo Han OODD 76 14 0 02 Jun 2024
On the Use of Anchoring for Training Vision Models V. Narayanaswamy Kowshik Thopalli Rushil Anirudh Yamen Mubarka W. Sakla Jayaraman J. Thiagarajan 95 0 0 01 Jun 2024
Out-of-distribution Reject Option Method for Dataset Shift Problem in Early Disease Onset Prediction Taisei Tosaki Eiichiro Uchino Ryosuke Kojima Y. Mineharu Yuji Okamoto ... Yoshinori Tamada Tatsuya Mikami K. Murashita Shigeyuki Nakaji Yasushi Okuno OOD 32 0 0 30 May 2024
When and How Does In-Distribution Label Help Out-of-Distribution Detection? Xuefeng Du Yiyou Sun Yixuan Li 75 9 0 28 May 2024
Evaluating Bayesian deep learning for radio galaxy classification Devina Mohan Anna M. M. Scaife UQCV BDL 131 1 0 28 May 2024
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection Yingwen Wu Ruiji Yu Xinwen Cheng Zhengbao He Xiaolin Huang OODD 117 4 0 28 May 2024