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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
Learning to Augment Distributions for Out-of-Distribution Detection Qizhou Wang Zhen Fang Yonggang Zhang Feng Liu Yixuan Li Bo Han OODD 128 39 0 03 Nov 2023
Detecting Out-of-Distribution Through the Lens of Neural Collapse Litian Liu Yao Qin OODD 108 7 0 02 Nov 2023
Mahalanobis-Aware Training for Out-of-Distribution Detection Connor Mclaughlin J. Matterer Michael Yee OODD 31 0 0 01 Nov 2023
DataZoo: Streamlining Traffic Classification Experiments Jan Luxemburk Karel Hynek 36 5 0 30 Oct 2023
Out-of-distribution Object Detection through Bayesian Uncertainty Estimation Tianhao Zhang Shenglin Wang N. Bouaynaya R. Calinescu Lyudmila Mihaylova OODD 64 2 0 29 Oct 2023
Classifier-head Informed Feature Masking and Prototype-based Logit Smoothing for Out-of-Distribution Detection Zhuohao Sun Yiqiao Qiu Zhijun Tan Weishi Zheng Ruixuan Wang OODD 73 6 0 27 Oct 2023
Low-Dimensional Gradient Helps Out-of-Distribution Detection Yingwen Wu Tao Li Xinwen Cheng Jie Yang Xiaolin Huang OODD 129 5 0 26 Oct 2023
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection Sangha Park J. Mok Dahuin Jung Saehyung Lee Sung-Hoon Yoon 74 11 0 25 Oct 2023
Contextualised Out-of-Distribution Detection using Pattern Identication Romain Xu-Darme Julien Girard-Satabin Darryl Hond Gabriele Incorvaia Zakaria Chihani OODD 92 0 0 24 Oct 2023
Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP Sungmin Cho Hyunsoo Cho Sang-Woo Lee Junyeob Kim Choonghyun Park Sang-goo Lee Kang Min Yoo Taeuk Kim VLM OOD 84 1 0 23 Oct 2023
Revisiting Deep Ensemble for Out-of-Distribution Detection: A Loss Landscape Perspective Kun Fang Qinghua Tao Xiaolin Huang Jie Yang OODD 112 3 0 22 Oct 2023
Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation Jianing Zhu Geng Yu Jiangchao Yao Tongliang Liu Gang Niu Masashi Sugiyama Bo Han OODD 102 32 0 21 Oct 2023
STANLEY: Stochastic Gradient Anisotropic Langevin Dynamics for Learning Energy-Based Models Belhal Karimi Jianwen Xie Ping Li DiffM 81 0 0 19 Oct 2023
Open-World Lifelong Graph Learning Marcel Hoffmann Lukas Galke A. Scherp 98 5 0 19 Oct 2023
Be Bayesian by Attachments to Catch More Uncertainty Shiyu Shen Bin Pan Tianyang Shi Tao Li Zhenwei Shi UQCV 92 0 0 19 Oct 2023
Conformal Drug Property Prediction with Density Estimation under Covariate Shift Siddhartha Laghuvarapu Zhen Lin Jimeng Sun 154 6 0 18 Oct 2023
Towards Open World Active Learning for 3D Object Detection Zhuoxiao Chen Yadan Luo Zixin Wang Zijian Wang Xin Yu Zi Huang 68 0 0 16 Oct 2023
SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection Zhihao Ding Jieming Shi Shiqi Shen Xuequn Shang Jiannong Cao Zhipeng Wang Zhi Gong OODD OOD 101 4 0 16 Oct 2023
SoTTA: Robust Test-Time Adaptation on Noisy Data Streams Taesik Gong Yewon Kim Taeckyung Lee Sorn Chottananurak Sung-Ju Lee TTA 72 33 0 16 Oct 2023
Causality and Independence Enhancement for Biased Node Classification Guoxin Chen Yongqing Wang Fangda Guo Qinglang Guo Jiangli Shao Huawei Shen Xueqi Cheng CML AI4CE OOD 88 14 0 14 Oct 2023
Visual Data-Type Understanding does not emerge from Scaling Vision-Language Models Vishaal Udandarao Max F. Burg Samuel Albanie Matthias Bethge VLM 67 9 0 12 Oct 2023
DualAug: Exploiting Additional Heavy Augmentation with OOD Data Rejection Zehao Wang Yiwen Guo Qizhang Li Guanglei Yang Wangmeng Zuo 69 0 0 12 Oct 2023
SEE-OoD: Supervised Exploration For Enhanced Out-of-Distribution Detection Xiaoyang Song Wenbo Sun Maher Nouiehed Raed Al Kontar J. Jin OODD 79 0 0 12 Oct 2023
Exploring Large Language Models for Multi-Modal Out-of-Distribution Detection Yi Dai Hao Lang Kaisheng Zeng Fei Huang Yongbin Li OODD 102 11 0 12 Oct 2023
Why Train More? Effective and Efficient Membership Inference via Memorization Jihye Choi Shruti Tople Varun Chandrasekaran Somesh Jha TDI FedML 87 2 0 12 Oct 2023
NECO: NEural Collapse Based Out-of-distribution detection Mouin Ben Ammar Nacim Belkhir Sebastian Popescu Antoine Manzanera Gianni Franchi OODD 72 20 0 10 Oct 2023
Semi-Supervised Object Detection with Uncurated Unlabeled Data for Remote Sensing Images Nanqing Liu Xun Xu Yingjie Gao Heng-Chao Li 122 13 0 09 Oct 2023
Understanding the Feature Norm for Out-of-Distribution Detection Jaewoo Park Jacky Chen Long Chai Jaeho Yoon Andrew Beng Jin Teoh OODD 86 14 0 09 Oct 2023
FLatS: Principled Out-of-Distribution Detection with Feature-Based Likelihood Ratio Score Haowei Lin Yuntian Gu OODD 77 7 0 08 Oct 2023
Activate and Reject: Towards Safe Domain Generalization under Category Shift Chaoqi Chen Luyao Tang Leitian Tao Hong-Yu Zhou Yue Huang Xiaoguang Han Yizhou Yu OOD 93 10 0 07 Oct 2023
OpenPatch: a 3D patchwork for Out-Of-Distribution detection Paolo Rabino A. Alliegro Francesco Cappio Borlino Tatiana Tommasi 3DPC 82 1 0 05 Oct 2023
Out-of-Distribution Detection by Leveraging Between-Layer Transformation Smoothness Fran Jelenić Josip Jukić Martin Tutek Mate Puljiz Jan vSnajder OODD 86 7 0 04 Oct 2023
OOD Aware Supervised Contrastive Learning Soroush Seifi Daniel Olmeda Reino N. Chumerin Rahaf Aljundi OODD 118 2 0 03 Oct 2023
ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms William Yang Byron Zhang Olga Russakovsky OODD 102 14 0 03 Oct 2023
Towards Distribution-Agnostic Generalized Category Discovery Jianhong Bai Zuo-Qiang Liu Hualiang Wang Ruizhe Chen Lianrui Mu Xiaomeng Li Qiufeng Wang Yang Feng Jian Wu Haoji Hu 138 12 0 02 Oct 2023
LS-VOS: Identifying Outliers in 3D Object Detections Using Latent Space Virtual Outlier Synthesis Aldi Piroli Vinzenz Dallabetta Johannes Kopp M. Walessa D. Meissner Klaus C. J. Dietmayer 87 5 0 02 Oct 2023
Towards Robust 3D Object Detection In Rainy Conditions Aldi Piroli Vinzenz Dallabetta Johannes Kopp M. Walessa D. Meissner Klaus C. J. Dietmayer 3DPC 41 6 0 02 Oct 2023
Can Pre-trained Networks Detect Familiar Out-of-Distribution Data? Atsuyuki Miyai Qing Yu Go Irie Kiyoharu Aizawa OODD 208 6 0 02 Oct 2023
Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement Kai Xu Rongyu Chen Gianni Franchi Angela Yao OODD 99 42 0 30 Sep 2023
Unmasking the Chameleons: A Benchmark for Out-of-Distribution Detection in Medical Tabular Data Mohammad Azizmalayeri Ameen Abu-Hanna Dirk Kraft OOD 101 5 0 28 Sep 2023
The Robust Semantic Segmentation UNCV2023 Challenge Results Xuanlong Yu Yi Zuo Zitao Wang Xiaowen Zhang Jiaxuan Zhao ... Angela Yao Wenlong Chen Ivor J. A. Simpson Neill D. F. Campbell Gianni Franchi UQCV 85 5 0 27 Sep 2023
Class Incremental Learning via Likelihood Ratio Based Task Prediction Haowei Lin Yijia Shao W. Qian Ningxin Pan Yiduo Guo Bing-Quan Liu CLL 111 14 0 26 Sep 2023
Nearest Neighbor Guidance for Out-of-Distribution Detection Jaewoo Park Yoon Gyo Jung Andrew Beng Jin Teoh OODD 82 36 0 26 Sep 2023
Online Active Learning For Sound Event Detection Mark Lindsey Ankit Shah Francis Kubala R. M. Stern 35 0 0 25 Sep 2023
Dream the Impossible: Outlier Imagination with Diffusion Models Xuefeng Du Yiyou Sun Xiaojin Zhu Yixuan Li 93 63 0 23 Sep 2023
Meta OOD Learning for Continuously Adaptive OOD Detection Xinheng Wu Jie Lu Zhen Fang Guangquan Zhang OODD 114 5 0 21 Sep 2023
You can have your ensemble and run it too -- Deep Ensembles Spread Over Time Isak Meding Alexander Bodin Adam Tonderski Joakim Johnander Christoffer Petersson Lennart Svensson OOD UQCV 48 1 0 20 Sep 2023
Latent Space Energy-based Model for Fine-grained Open Set Recognition Wentao Bao Qi Yu Yu Kong BDL 69 2 0 19 Sep 2023
Towards Effective Semantic OOD Detection in Unseen Domains: A Domain Generalization Perspective Haoliang Wang Chen Zhao Yunhui Guo Kai Jiang Feng Chen 105 3 0 18 Sep 2023
Conditioning Latent-Space Clusters for Real-World Anomaly Classification Daniel Bogdoll Svetlana Pavlitska Simon Klaus J. Marius Zöllner DRL 80 1 0 18 Sep 2023