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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
INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection Chao Chen Kai-Chun Liu Ze Chen Yi Gu Yue-bo Wu Mingyuan Tao Zhihang Fu Jieping Ye HILM 138 111 0 06 Feb 2024
How Does Unlabeled Data Provably Help Out-of-Distribution Detection? Xuefeng Du Zhen Fang Ilias Diakonikolas Yixuan Li OODD 87 29 0 05 Feb 2024
Kernel PCA for Out-of-Distribution Detection Kun Fang Qinghua Tao Kexin Lv Mingzhen He Xiaolin Huang Jie Yang OODD 126 4 0 05 Feb 2024
Learning with Mixture of Prototypes for Out-of-Distribution Detection Haodong Lu Dong Gong Shuo Wang Jason Xue Lina Yao Kristen Moore OODD 134 27 0 05 Feb 2024
Detecting Out-of-Distribution Objects through Class-Conditioned Inpainting Quang-Huy Nguyen Jin Peng Zhou Zhenzhen Liu Khanh-Huyen Bui Kilian Q. Weinberger Wei-Lun Chao Dung D. Le 84 1 0 05 Feb 2024
Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection Chao Chen Zhihang Fu Kai-Chun Liu Ze Chen Mingyuan Tao Jieping Ye OODD 75 4 0 04 Feb 2024
Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection Qinyu Zhao Ming Xu Kartik Gupta Akshay Asthana Liang Zheng Stephen Gould OODD 34 7 0 01 Feb 2024
ARGS: Alignment as Reward-Guided Search Maxim Khanov Jirayu Burapacheep Yixuan Li 125 62 0 23 Jan 2024
Detecting Out-of-Distribution Samples via Conditional Distribution Entropy with Optimal Transport Chuanwen Feng Wenlong Chen Ao Ke Yilong Ren Xike Xie S.Kevin Zhou OODD 59 0 0 22 Jan 2024
Out-of-Distribution Detection & Applications With Ablated Learned Temperature Energy Will LeVine Benjamin Pikus Jacob Phillips Berk Norman Fernando Amat Gil Sean Hendryx OODD 195 1 0 22 Jan 2024
Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift Renchunzi Xie Ambroise Odonnat Vasilii Feofanov I. Redko Jianfeng Zhang Bo An UQCV 150 1 0 17 Jan 2024
ML-On-Rails: Safeguarding Machine Learning Models in Software Systems A Case Study Hala Abdelkader Mohamed Abdelrazek Scott Barnett Jean-Guy Schneider Priya Rani Rajesh Vasa 83 4 0 12 Jan 2024
Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning Chenyang Wang Junjun Jiang Xingyu Hu Xianming Liu Xiangyang Ji 110 5 0 12 Jan 2024
Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks Puja Trivedi Mark Heimann Rushil Anirudh Danai Koutra Jayaraman J. Thiagarajan UQCV 107 5 0 07 Jan 2024
EPA: Neural Collapse Inspired Robust Out-of-Distribution Detector Jiawei Zhang Yufan Chen Cheng Jin Lei Zhu Yuantao Gu OODD UQCV AAML 78 8 0 03 Jan 2024
Brain Tumor Segmentation Based on Deep Learning, Attention Mechanisms, and Energy-Based Uncertainty Prediction Zachary Schwehr Sriman Achanta 77 3 0 31 Dec 2023
Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation Zhuohang Dang Minnan Luo Chengyou Jia Guangwen Dai Xiao Chang Jingdong Wang 73 8 0 27 Dec 2023
A Survey on Open-Set Image Recognition Qiulei Dong Qiulei Dong BDL ObjD 92 6 0 25 Dec 2023
Towards Reliable AI Model Deployments: Multiple Input Mixup for Out-of-Distribution Detection Dasol Choi Dongbin Na OODD 129 2 0 24 Dec 2023
Learning to Prompt Knowledge Transfer for Open-World Continual Learning Yujie Li Xin Yang Hao Wang Xiangkun Wang Tianrui Li VLM CLL 69 18 0 22 Dec 2023
How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection? Soumya Suvra Ghosal Yiyou Sun Yixuan Li OODD 80 12 0 22 Dec 2023
GROOD: Gradient-Aware Out-of-Distribution Detection Mostafa ElAraby Sabyasachi Sahoo Y. Pequignot Paul Novello Liam Paull 79 0 0 22 Dec 2023
RetroOOD: Understanding Out-of-Distribution Generalization in Retrosynthesis Prediction Yemin Yu Luotian Yuan Ying Wei Hanyu Gao Xinhai Ye Zhihua Wang Leilei Gan OOD 68 3 0 18 Dec 2023
Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning Wenjun Miao Guansong Pang Tianqi Li Xiaolong Bai Jingyi Zheng OODD 119 15 0 17 Dec 2023
Fast Decision Boundary based Out-of-Distribution Detector Litian Liu Yao Qin OODD 118 20 0 15 Dec 2023
EAT: Towards Long-Tailed Out-of-Distribution Detection Tong Wei Bo-Lin Wang Min-Ling Zhang OODD 77 15 0 14 Dec 2023
HAROOD: Human Activity Classification and Out-of-Distribution Detection with Short-Range FMCW Radar Sabri Mustafa Kahya Muhammet Sami Yavuz Eckehard G. Steinbach 66 5 0 14 Dec 2023
Managing the unknown: a survey on Open Set Recognition and tangential areas Marcos Barcina-Blanco J. Lobo Pablo Garcia-Bringas Javier Del Ser VLM 103 3 0 14 Dec 2023
GenQ: Quantization in Low Data Regimes with Generative Synthetic Data Yuhang Li Youngeun Kim Donghyun Lee Souvik Kundu Priyadarshini Panda MQ 103 2 0 07 Dec 2023
Error Discovery by Clustering Influence Embeddings Fulton Wang Julius Adebayo Sarah Tan Diego Garcia-Olano Narine Kokhlikyan 100 4 0 07 Dec 2023
Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts Jiayi Chen Benteng Ma Hengfei Cui Yong-quan Xia OOD FedML 98 17 0 05 Dec 2023
Likelihood-Aware Semantic Alignment for Full-Spectrum Out-of-Distribution Detection Fan Lu Kai Zhu Kecheng Zheng Wei Zhai Xuemiao Xu OODD 194 4 0 04 Dec 2023
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image Recognition Chong Wang Yuanhong Chen Fengbei Liu Yuyuan Liu Davis J. McCarthy Helen Frazer Gustavo Carneiro 150 1 0 30 Nov 2023
Understanding the (Extra-)Ordinary: Validating Deep Model Decisions with Prototypical Concept-based Explanations Maximilian Dreyer Reduan Achtibat Wojciech Samek Sebastian Lapuschkin 48 12 0 28 Nov 2023
Model-free Test Time Adaptation for Out-Of-Distribution Detection Yi-Fan Zhang Xue Wang Tian Zhou Kun Yuan Zhang Zhang Liang Wang Rong Jin Tien-Ping Tan TTA OODD 80 4 0 28 Nov 2023
Segment Every Out-of-Distribution Object Wenjie Zhao Jia Li Xin Dong Yu Xiang Yunhui Guo 85 9 0 27 Nov 2023
ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection Yichen Bai Zongbo Han Changqing Zhang Bing Cao Xiaoheng Jiang Qinghua Hu OODD 114 21 0 26 Nov 2023
Maximizing Discrimination Capability of Knowledge Distillation with Energy Function Seonghak Kim Gyeongdo Ham Suin Lee Donggon Jang Daeshik Kim 229 4 0 24 Nov 2023
ExCeL : Combined Extreme and Collective Logit Information for Enhancing Out-of-Distribution Detection Naveen Karunanayake Suranga Seneviratne Sanjay Chawla OODD 64 1 0 23 Nov 2023
RankFeat&RankWeight: Rank-1 Feature/Weight Removal for Out-of-distribution Detection Yue Song N. Sebe Wei Wang OODD 83 2 0 23 Nov 2023
Unified Classification and Rejection: A One-versus-All Framework Zhen Cheng Xu-Yao Zhang Cheng-Lin Liu 96 7 0 22 Nov 2023
A Baseline Analysis of Reward Models' Ability To Accurately Analyze Foundation Models Under Distribution Shift Will LeVine Benjamin Pikus Tony Chen Sean Hendryx 178 10 0 21 Nov 2023
Towards Few-shot Out-of-Distribution Detection Jiuqing Dong Yongbin Gao Heng Zhou Jun Cen Yifan Yao Sook Yoon Park Dong Sun OODD 79 2 0 20 Nov 2023
GAIA: Delving into Gradient-based Attribution Abnormality for Out-of-distribution Detection Jinggang Chen Junjie Li Xiaoyang Qu Jianzong Wang Jiguang Wan Jing Xiao OODD 67 10 0 16 Nov 2023
Incremental Object-Based Novelty Detection with Feedback Loop Simone Caldarella Elisa Ricci Rahaf Aljundi 84 0 0 15 Nov 2023
DALA: A Distribution-Aware LoRA-Based Adversarial Attack against Language Models Yibo Wang Xiangjue Dong James Caverlee Philip S. Yu 83 2 0 14 Nov 2023
EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road Autonomy Xiaoyi Cai Siddharth Ancha Lakshay Sharma Philip R. Osteen Bernadette Bucher Stephen Phillips Jiuguang Wang Michael Everett Nicholas Roy Jonathan P. How EDL 92 36 0 10 Nov 2023
Improvements on Uncertainty Quantification for Node Classification via Distance-Based Regularization Russell Hart Linlin Yu Yifei Lou Feng Chen UQCV 64 4 0 10 Nov 2023
Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural Networks Ahmad Rashid Serena Hacker Guojun Zhang Agustinus Kristiadi Pascal Poupart OODD 87 0 0 07 Nov 2023
Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources Haotian Zheng Qizhou Wang Zhen Fang Xiaobo Xia Feng Liu Tongliang Liu Bo Han 233 28 0 06 Nov 2023