Understanding the Feature Norm for Out-of-Distribution Detection

9 October 2023

Papers citing "Understanding the Feature Norm for Out-of-Distribution Detection"

29 / 29 papers shown

Title
Mahalanobis++: Improving OOD Detection via Feature Normalization Maximilian Mueller Matthias Hein OODD 117 0 0 23 May 2025
Going Beyond Conventional OOD Detection Sudarshan Regmi OODD 106 1 0 16 Nov 2024
Is Out-of-Distribution Detection Learnable? Zhen Fang Yixuan Li Jie Lu Jiahua Dong Bo Han Feng Liu OODD 118 130 0 26 Oct 2022
Out-of-Distribution Detection with Deep Nearest Neighbors Yiyou Sun Yifei Ming Xiaojin Zhu Yixuan Li OODD 200 529 0 13 Apr 2022
Provable Guarantees for Understanding Out-of-distribution Detection Peyman Morteza Yixuan Li OODD 102 94 0 01 Dec 2021
ReAct: Out-of-distribution Detection With Rectified Activations Yiyou Sun Chuan Guo Yixuan Li OODD 113 484 0 24 Nov 2021
On the Impact of Spurious Correlation for Out-of-distribution Detection Yifei Ming Hang Yin Yixuan Li OODD 184 75 0 12 Sep 2021
Learning Bounds for Open-Set Learning Zhen Fang Jie Lu Anjin Liu Feng Liu Guangquan Zhang 62 61 0 30 Jun 2021
MagFace: A Universal Representation for Face Recognition and Quality Assessment Qiang Meng Shichao Zhao Zhida Huang F. Zhou CVBM 74 491 0 11 Mar 2021
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Yixuan Li OODD 271 1,366 0 08 Oct 2020
Classification-Based Anomaly Detection for General Data Liron Bergman Yedid Hoshen 52 351 0 05 May 2020
Supervised Contrastive Learning Prannay Khosla Piotr Teterwak Chen Wang Aaron Sarna Yonglong Tian Phillip Isola Aaron Maschinot Ce Liu Dilip Krishnan SSL 154 4,566 0 23 Apr 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 486 3,442 0 09 Mar 2020
Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data Yen-Chang Hsu Yilin Shen Hongxia Jin Z. Kira OODD 100 576 0 26 Feb 2020
Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One Will Grathwohl Kuan-Chieh Wang J. Jacobsen David Duvenaud Mohammad Norouzi Kevin Swersky VLM 85 546 0 06 Dec 2019
Scaling Out-of-Distribution Detection for Real-World Settings Dan Hendrycks Steven Basart Mantas Mazeika Andy Zou Joe Kwon Mohammadreza Mostajabi Jacob Steinhardt Basel Alomair OODD 180 481 0 25 Nov 2019
Natural Adversarial Examples Dan Hendrycks Kevin Zhao Steven Basart Jacob Steinhardt Basel Alomair OODD 212 1,482 0 16 Jul 2019
Deep ReLU Networks Have Surprisingly Few Activation Patterns Boris Hanin David Rolnick 84 228 0 03 Jun 2019
OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations Pramuditha Perera Ramesh Nallapati Bing Xiang 118 526 0 20 Mar 2019
Reducing Network Agnostophobia A. Dhamija Manuel Günther Terrance E. Boult AAML UQCV 73 305 0 09 Nov 2018
Do Deep Generative Models Know What They Don't Know? Eric T. Nalisnick Akihiro Matsukawa Yee Whye Teh Dilan Görür Balaji Lakshminarayanan OOD 69 759 0 22 Oct 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks Kimin Lee Kibok Lee Honglak Lee Jinwoo Shin OODD 192 2,060 0 10 Jul 2018
Deep Anomaly Detection Using Geometric Transformations I. Golan Ran El-Yaniv 94 606 0 28 May 2018
Feature Incay for Representation Regularization Yuhui Yuan Kuiyuan Yang Chao Zhang 69 16 0 29 May 2017
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 166 3,468 0 07 Oct 2016
Gaussian Error Linear Units (GELUs) Dan Hendrycks Kevin Gimpel 172 5,037 0 27 Jun 2016
Empirical Evaluation of Rectified Activations in Convolutional Network Bing Xu Naiyan Wang Tianqi Chen Mu Li 140 2,913 0 05 May 2015
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images Anh Totti Nguyen J. Yosinski Jeff Clune AAML 171 3,275 0 05 Dec 2014
Describing Textures in the Wild Mircea Cimpoi Subhransu Maji Iasonas Kokkinos S. Mohamed Andrea Vedaldi 3DV 141 2,686 0 14 Nov 2013