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Energy-based Out-of-distribution Detection

8 October 2020

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

50 / 957 papers shown

Title
A Survey of Text Classification Under Class Distribution Shift Adriana Valentina Costache Silviu Florin Gheorghe Eduard Poesina Paul Irofti Radu Tudor Ionescu OOD VLM 309 1 0 18 Feb 2025
Large Language Models for Anomaly and Out-of-Distribution Detection: A SurveyNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024 Ruiyao Xu Kaize Ding 378 18 0 17 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 381 17 0 17 Feb 2025
Exploring Active Data Selection Strategies for Continuous Training in Deepfake DetectionBiometrics and Electronic Signatures (BES), 2024 Yoshihiko Furuhashi Junichi Yamagishi Xin Eric Wang H. Nguyen Isao Echizen 175 0 0 11 Feb 2025
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent GenerationInternational Conference on Learning Representations (ICLR), 2025 Danny Wang Ruihong Qiu Guangdong Bai Zi Huang 885 12 0 09 Feb 2025
Out-of-Distribution Detection using Synthetic Data Generation Momin Abbas Muneeza Azmat R. Horesh Mikhail Yurochkin OODD 547 2 0 05 Feb 2025
PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated LearningThe Web Conference (WWW), 2025 Yu Feng Yangli-ao Geng Yifan Zhu Zongfu Han Xie Yu Kaiwen Xue Haoran Luo Mengyang Sun Guangwei Zhang Meina Song FedML MoE 464 7 0 01 Feb 2025
Reducing Aleatoric and Epistemic Uncertainty through Multi-modal Data Acquisition Arthur Hoarau Benjamin Quost Sébastien Destercke Willem Waegeman UQCV UD PER 348 3 0 30 Jan 2025
Topology of Out-of-Distribution Examples in Deep Neural Networks Esha Datta Johanna Hennig Eva Domschot Connor Mattes Michael R. Smith 233 1 0 21 Jan 2025
SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models Shu Zou Xinyu Tian Qinyu Zhao Zhaoyuan Yang Jing Zhang VLM 228 4 0 20 Jan 2025
Provably Safeguarding a Classifier from OOD and Adversarial Samples: an Extreme Value Theory ApproachInternational Conference on Learning Representations (ICLR), 2025 Nicolas Atienza Christophe Labreuche Johanne Cohen Michele Sebag OODD AAML 878 0 0 20 Jan 2025
FARE: A Deep Learning-Based Framework for Radar-based Face Recognition and Out-of-distribution DetectionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025 Sabri Mustafa Kahya Boran Hamdi Sivrikaya Muhammet Sami Yavuz Eckehard Steinbach CVBM 134 0 0 14 Jan 2025
ARES: Auxiliary Range Expansion for Outlier Synthesis Eui-Soo Jung Hae-Hun Seo Hyun-Woo Jung Je-Geon Oh Yoon-Yeong Kim OODD 319 0 0 11 Jan 2025
Leveraging Registers in Vision Transformers for Robust AdaptationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025 Srikar Yellapragada Kowshik Thopalli V. Narayanaswamy W. Sakla Yang Liu Yamen Mubarka Dimitris Samaras Jayaraman J. Thiagarajan 134 1 0 10 Jan 2025
Concept Matching with Agent for Out-of-Distribution Detection YuXiao Lee Xiaofeng Cao Jingcai Guo Wei Ye Qing Guo Yi Chang 312 0 0 08 Jan 2025
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban ScenesAAAI Conference on Artificial Intelligence (AAAI), 2023 Yuanpeng Tu Yuxi Li Boshen Zhang Liang Liu Jing Zhang Yun Wang C. Zhao 627 8 0 03 Jan 2025
Evaluating Self-Supervised Learning in Medical Imaging: A Benchmark for Robustness, Generalizability, and Multi-Domain Impact Valay Bundele Karahan Sarıtaş Bora Kargi Oğuz Ata Çal Kıvanç Tezören Zohreh Ghaderi Hendrik Lensch OOD 224 6 0 26 Dec 2024
Pretraining with random noise for uncertainty calibration Jeonghwan Cheon Se-Bum Paik OnRL 466 2 0 23 Dec 2024
Out-of-Distribution Detection with Prototypical Outlier ProxyAAAI Conference on Artificial Intelligence (AAAI), 2024 Mingrong Gong Chaoqi Chen Qingqiang Sun Yue Wang Hui Huang OODD 429 3 0 22 Dec 2024
Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Xiang Fang Arvind Easwaran B. Genest Ponnuthurai Nagaratnam Suganthan OODD 290 2 0 20 Dec 2024
Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation Burak Ekim G. Tadesse Caleb Robinson G. Q. Hacheme Michael Schmitt Rahul Dodhia J. L. Ferres OODD 461 6 0 18 Dec 2024
Open-World Panoptic Segmentation Matteo Sodano Federico Magistri Jens Behley Cyrill Stachniss VLM 323 2 0 17 Dec 2024
ITP: Instance-Aware Test Pruning for Out-of-Distribution DetectionAAAI Conference on Artificial Intelligence (AAAI), 2024 Haonan Xu Yang Yang OODD 220 2 0 17 Dec 2024
Mining In-distribution Attributes in Outliers for Out-of-distribution DetectionAAAI Conference on Artificial Intelligence (AAAI), 2024 Yutian Lei Luping Ji Pei Liu OODD 253 2 0 16 Dec 2024
How not to Stitch Representations to Measure Similarity: Task Loss Matching versus Direct MatchingAAAI Conference on Artificial Intelligence (AAAI), 2024 András Balogh Márk Jelasity 226 2 0 15 Dec 2024
Safety Monitoring of Machine Learning Perception Functions: a SurveyInternational Conference on Climate Informatics (ICCI), 2024 Raul Sena Ferreira Joris Guérin Kevin Delmas Jérémie Guiochet H. Waeselynck 298 4 0 09 Dec 2024
Your Data Is Not Perfect: Towards Cross-Domain Out-of-Distribution Detection in Class-Imbalanced DataExpert systems with applications (ESWA), 2024 Xiang Fang Arvind Easwaran B. Genest Ponnuthurai Nagaratnam Suganthan 434 33 0 09 Dec 2024
Soft Checksums to Flag Untrustworthy Machine Learning Surrogate Predictions and Application to Atomic Physics Simulations Casey Lauer Robert C. Blake Jonathan B. Freund 229 0 0 04 Dec 2024
NCDD: Nearest Centroid Distance Deficit for Out-Of-Distribution Detection in Gastrointestinal Vision Sandesh Pokhrel Sanjay Bhandari Sharib Ali Tryphon Lambrou Anh Nguyen Yash Raj Shrestha Angus Watson Danail Stoyanov P. Gyawali Binod Bhattarai 280 3 0 02 Dec 2024
Learning Structured Representations with Hyperbolic EmbeddingsNeural Information Processing Systems (NeurIPS), 2024 Aditya Sinha Siqi Zeng M. Yamada Han Zhao 352 7 0 02 Dec 2024
From Open Vocabulary to Open World: Teaching Vision Language Models to Detect Novel Objects Zizhao Li Zhengkang Xiang Joseph West Kourosh Khoshelham ObjD VLM 401 3 0 27 Nov 2024
FodFoM: Fake Outlier Data by Foundation Models Creates Stronger Visual Out-of-Distribution DetectorACM Multimedia (MM), 2024 Jiankang Chen Ling Deng Zhiyong Gan Wei-Shi Zheng Ruixuan Wang OODD 436 6 0 22 Nov 2024
TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual Out-of-Distribution DetectionAAAI Conference on Artificial Intelligence (AAAI), 2024 Jiankang Chen Tong Zhang Wei-Shi Zheng Ruixuan Wang OODD 387 5 0 22 Nov 2024
PaRCE: Probabilistic and Reconstruction-based Competency Estimation for CNN-based Image Classification Sara Pohland Claire Tomlin UQCV 385 1 0 22 Nov 2024
Semantic or Covariate? A Study on the Intractable Case of Out-of-Distribution Detection Xingming Long Jie M. Zhang Shiguang Shan Xilin Chen OODD 267 0 0 18 Nov 2024
Targeting Negative Flips in Active Learning using Validation SetsBigData Congress [Services Society] (BSS), 2024 Ryan Benkert Mohit Prabhushankar Ghassan AlRegib AAML 274 0 0 16 Nov 2024
Image-based Outlier Synthesis With Training Data Sudarshan Regmi OODD 462 2 0 16 Nov 2024
Disentangling Tabular Data Towards Better One-Class Anomaly DetectionAAAI Conference on Artificial Intelligence (AAAI), 2024 Jianan Ye Zhaorui Tan Yijie Hu Xi Yang Guangliang Cheng K. Huang 238 3 0 12 Nov 2024
Feature-Space Semantic Invariance: Enhanced OOD Detection for Open-Set Domain GeneralizationBigData Congress [Services Society] (BSS), 2024 Haoliang Wang Chen Zhao Feng Chen 194 1 0 11 Nov 2024
Robust Fine-tuning of Zero-shot Models via Variance ReductionNeural Information Processing Systems (NeurIPS), 2024 B. Zhu Jiequan Cui Han Zhang VLM OODD 215 5 0 11 Nov 2024
Deep Active Learning in the Open World Tian Xie Jifan Zhang Haoyue Bai R. Nowak VLM 857 6 0 10 Nov 2024
On the Inherent Robustness of One-Stage Object Detection against Out-of-Distribution Data Aitor Martinez-Seras Javier Del Ser Alain Andres Pablo García Bringas Pablo Garcia-Bringas OODD 264 0 0 07 Nov 2024
Community Forensics: Using Thousands of Generators to Train Fake Image DetectorsComputer Vision and Pattern Recognition (CVPR), 2024 Jeongsoo Park Andrew Owens 372 19 0 06 Nov 2024
Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution DetectionNeural Information Processing Systems (NeurIPS), 2024 Geng Yu Jianing Zhu Jiangchao Yao Bo Han OODD 218 13 0 05 Nov 2024
Typicalness-Aware Learning for Failure DetectionNeural Information Processing Systems (NeurIPS), 2024 Yijun Liu Jiequan Cui Zhuotao Tian Senqiao Yang Qingdong He Xiaoling Wang Jingyong Su AAML 301 5 0 04 Nov 2024
Double Descent Meets Out-of-Distribution Detection: Theoretical Insights and Empirical Analysis on the role of model complexity Mouin Ben Ammar David Brellmann Arturo Mendoza Antoine Manzanera Gianni Franchi OODD 356 0 0 04 Nov 2024
DSDE: Using Proportion Estimation to Improve Model Selection for Out-of-Distribution Detection Jingyao Geng Yuan Zhang Jiaqi Huang Feng Xue Falong Tan Chuanlong Xie Shumei Zhang OODD 231 1 0 03 Nov 2024
MADOD: Generalizing OOD Detection to Unseen Domains via G-Invariance Meta-LearningBigData Congress [Services Society] (BSS), 2024 Haoliang Wang Chen Zhao Feng Chen 166 4 0 02 Nov 2024
Class Incremental Learning with Task-Specific Batch Normalization and Out-of-Distribution Detection Xuchen Xie Yiqiao Qiu Run Lin Weishi Zheng Ruixuan Wang CLL 233 1 0 01 Nov 2024
Adaptive Residual Transformation for Enhanced Feature-Based OOD Detection in SAR Imagery Kyung-Hwan Lee Kyung-Tae Kim 204 2 0 01 Nov 2024