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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
Mind the Label Shift of Augmentation-based Graph OOD Generalization Junchi Yu Jian Liang Ran He 102 33 0 27 Mar 2023
SIO: Synthetic In-Distribution Data Benefits Out-of-Distribution Detection Jingyang Zhang Nathan Inkawhich Randolph Linderman R. Luley Yiran Chen H. Li OODD 71 1 0 25 Mar 2023
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck Jongheon Jeong Sihyun Yu Hankook Lee Jinwoo Shin AAML 80 0 0 24 Mar 2023
Poincaré ResNet Max van Spengler E. Berkhout Pascal Mettes SSL 88 13 0 24 Mar 2023
LINe: Out-of-Distribution Detection by Leveraging Important Neurons Yong Hyun Ahn Gyeong-Moon Park Seong Tae Kim OODD 175 35 0 24 Mar 2023
Anomaly Detection under Distribution Shift T. Cao Jiawen Zhu Guansong Pang 87 28 0 24 Mar 2023
Unknown Sniffer for Object Detection: Don't Turn a Blind Eye to Unknown Objects Wenteng Liang Feng Xue Yihao Liu Guofeng Zhong Anlong Ming 235 21 0 24 Mar 2023
Calibrated Out-of-Distribution Detection with a Generic Representation Tomás Vojír Jan Sochman Rahaf Aljundi Juan E. Sala Matas OODD UQCV 79 8 0 23 Mar 2023
Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization Zhuo Huang Miaoxi Zhu Xiaobo Xia Li Shen Jun Yu Chen Gong Bo Han Bo Du Tongliang Liu 78 36 0 23 Mar 2023
Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection Fan Lu Kai Zhu Wei Zhai Kecheng Zheng Yang Cao UQCV 90 21 0 18 Mar 2023
A Unified Continual Learning Framework with General Parameter-Efficient Tuning Qiankun Gao Chen Zhao Yifan Sun Teng Xi Gang Zhang Guohao Li Shuai Liu CLL 123 98 0 17 Mar 2023
Finding Competence Regions in Domain Generalization Jens Müller Stefan T. Radev R. Schmier Felix Dräxler Carsten Rother Ullrich Kothe 79 4 0 17 Mar 2023
Detecting Out-of-distribution Examples via Class-conditional Impressions Reappearing Jinggang Chen Xiaoyang Qu Junjie Li Jianzong Wang Ji-guang Wan Jing Xiao OODD 50 4 0 17 Mar 2023
Background Matters: Enhancing Out-of-distribution Detection with Domain Features Choubo Ding Guansong Pang Chunhua Shen OODD 18 0 0 15 Mar 2023
Explanation Shift: How Did the Distribution Shift Impact the Model? Carlos Mougan Klaus Broelemann David Masip Gjergji Kasneci Thanassis Thiropanis Steffen Staab FAtt 81 2 0 14 Mar 2023
Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models Guoxuan Xia C. Bouganis UQCV 113 12 0 14 Mar 2023
WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant Analysis Yiye Chen Yunzhi Lin Ruinian Xu Patricio A. Vela OODD 61 7 0 14 Mar 2023
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning Zhuliang Yu Yin Li Yong Jae Lee 78 13 0 13 Mar 2023
MCROOD: Multi-Class Radar Out-Of-Distribution Detection Sabri Mustafa Kahya Muhammet Sami Yavuz Eckehard Steinbach 51 9 0 10 Mar 2023
Adapting Contrastive Language-Image Pretrained (CLIP) Models for Out-of-Distribution Detection Nikolas Adaloglou Félix D. P. Michels Tim Kaiser M. Kollmann VLM 67 0 0 10 Mar 2023
Toward Unsupervised Realistic Visual Question Answering Yuwei Zhang Chih-Hui Ho Nuno Vasconcelos CoGe 85 2 0 09 Mar 2023
Out-of-distribution Detection with Implicit Outlier Transformation Qizhou Wang Junjie Ye Feng Liu Quanyu Dai Marcus Kalander Tongliang Liu Jianye Hao Bo Han OODD 208 47 0 09 Mar 2023
Predicted Embedding Power Regression for Large-Scale Out-of-Distribution Detection Han Yang William R. Gebhardt Alexander Ororbia Travis J. Desell OODD 43 0 0 07 Mar 2023
Non-Parametric Outlier Synthesis Leitian Tao Xuefeng Du Xiaojin Zhu Yixuan Li OODD 95 108 0 06 Mar 2023
Rule-based Out-Of-Distribution Detection Giacomo De Bernardi Sara Narteni E. Cambiaso Maurizio Mongelli OODD 75 3 0 03 Mar 2023
DeepLens: Interactive Out-of-distribution Data Detection in NLP Models D. Song Zhijie Wang Yuheng Huang Lei Ma Tianyi Zhang 56 4 0 02 Mar 2023
Average of Pruning: Improving Performance and Stability of Out-of-Distribution Detection Zhen Cheng Fei Zhu Xu-Yao Zhang Cheng-Lin Liu MoMe OODD 93 12 0 02 Mar 2023
Reconstruction-based Out-of-Distribution Detection for Short-Range FMCW Radar Sabri Mustafa Kahya Muhammet Sami Yavuz Eckehard Steinbach OODD 111 7 0 27 Feb 2023
Open Set Action Recognition via Multi-Label Evidential Learning Chen Zhao Dawei Du A. Hoogs Christopher Funk EDL 68 26 0 27 Feb 2023
VRA: Variational Rectified Activation for Out-of-distribution Detection Ming Xu Zheng Lian B. Liu Jianhua Tao OODD 43 9 0 23 Feb 2023
Energy-Based Test Sample Adaptation for Domain Generalization Zehao Xiao Xiantong Zhen Tianran Ouyang Cees G. M. Snoek TTA 103 20 0 22 Feb 2023
Using Semantic Information for Defining and Detecting OOD Inputs Ramneet Kaur Xiayan Ji Souradeep Dutta Michele Caprio Yahan Yang E. Bernardis O. Sokolsky Insup Lee OODD 94 7 0 21 Feb 2023
Multiobjective Evolutionary Pruning of Deep Neural Networks with Transfer Learning for improving their Performance and Robustness Javier Poyatos Daniel Molina Aitor Martínez Javier Del Ser Francisco Herrera 93 11 0 20 Feb 2023
Unsupervised Layer-wise Score Aggregation for Textual OOD Detection Maxime Darrin Guillaume Staerman Eduardo Dadalto Camara Gomes Jackie CK Cheung Pablo Piantanida Pierre Colombo OODD 451 12 0 20 Feb 2023
Gradient-based Wang-Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space Weitang Liu Ying-Wai Li Yi-Zhuang You Jingbo Shang 38 1 0 19 Feb 2023
Unsupervised Evaluation of Out-of-distribution Detection: A Data-centric Perspective Yuhang Zhang Weihong Deng Liang Zheng OODD 57 4 0 16 Feb 2023
Uncertainty-Estimation with Normalized Logits for Out-of-Distribution Detection Mou-Yue Huang Yu Qiao 113 3 0 15 Feb 2023
Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts H. Bui Anqi Liu OOD UQCV 185 6 0 13 Feb 2023
Predicting Out-of-Distribution Error with Confidence Optimal Transport Yuzhe Lu Zhenlin Wang Runtian Zhai Soheil Kolouri Joseph Campbell Katia Sycara OODD 61 12 0 10 Feb 2023
Continuous Learning for Android Malware Detection Yizheng Chen Zhoujie Ding David Wagner 107 39 0 08 Feb 2023
Robustness to Spurious Correlations Improves Semantic Out-of-Distribution Detection Lily H. Zhang Rajesh Ranganath OODD 84 8 0 08 Feb 2023
Energy-based Out-of-Distribution Detection for Graph Neural Networks Qitian Wu Yiting Chen Chenxiao Yang Junchi Yan OODD 122 68 0 06 Feb 2023
Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is All You Need Jingyao Li Pengguang Chen Shaozuo Yu Zexin He Shu Liu Jiaya Jia OODD 100 46 0 06 Feb 2023
A Minimax Approach Against Multi-Armed Adversarial Attacks Detection Federica Granese Marco Romanelli S. Garg Pablo Piantanida AAML 55 0 0 04 Feb 2023
AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge Coen de Vente Koen A. Vermeer Nicolas Jaccard He Wang Hongyi Sun ... Abdul Qayyum Imran Razzak Bram van Ginneken H. Lemij Clara I. Sánchez 129 57 0 03 Feb 2023
Algorithm Design for Online Meta-Learning with Task Boundary Detection Daouda Sow Sen Lin Yitao Liang Junshan Zhang OOD 95 1 0 02 Feb 2023
Versatile Energy-Based Probabilistic Models for High Energy Physics Taoli Cheng Aaron Courville DiffM 88 1 0 01 Feb 2023
Normalizing Flow based Feature Synthesis for Outlier-Aware Object Detection Nishant Kumar Sinisa Segvic Abouzar Eslami Stefan Gumhold 91 13 0 01 Feb 2023
Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning Chaoxi Niu Guansong Pang Ling-Hao Chen 104 9 0 31 Jan 2023
Fine-Tuning Deteriorates General Textual Out-of-Distribution Detection by Distorting Task-Agnostic Features Sishuo Chen Wenkai Yang Xiaohan Bi Xu Sun OODD 60 15 0 30 Jan 2023