Representation Norm Amplification for Out-of-Distribution Detection in Long-Tail Learning

20 August 2024

Papers citing "Representation Norm Amplification for Out-of-Distribution Detection in Long-Tail Learning"

32 / 32 papers shown

Title
Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning Wenjun Miao Guansong Pang Tianqi Li Xiaolong Bai Jingyi Zheng OODD 75 15 0 17 Dec 2023
Balanced Energy Regularization Loss for Out-of-distribution Detection Hyunjun Choi Hawook Jeong Hawook Jeong OODD 115 20 0 18 Jun 2023
LINe: Out-of-Distribution Detection by Leveraging Important Neurons Yong Hyun Ahn Gyeong-Moon Park Seong Tae Kim OODD 153 32 0 24 Mar 2023
POEM: Out-of-Distribution Detection with Posterior Sampling Yifei Ming Ying Fan Yixuan Li OODD 76 117 0 28 Jun 2022
Mitigating Neural Network Overconfidence with Logit Normalization Hongxin Wei Renchunzi Xie Hao-Ran Cheng Lei Feng Bo An Yixuan Li OODD 220 285 0 19 May 2022
Out-of-Distribution Detection with Deep Nearest Neighbors Yiyou Sun Yifei Ming Xiaojin Zhu Yixuan Li OODD 198 520 0 13 Apr 2022
Targeted Supervised Contrastive Learning for Long-Tailed Recognition Tianhong Li Peng Cao Yuan. Yuan Lijie Fan Yuzhe Yang Rogerio Feris Piotr Indyk Dina Katabi 95 182 0 27 Nov 2021
Can multi-label classification networks know what they don't know? Haoran Wang Weitang Liu Alex E. Bocchieri Yixuan Li OODD 130 127 0 29 Sep 2021
Semantically Coherent Out-of-Distribution Detection Jingkang Yang Haoqi Wang Xue Jiang Xiaopeng Yan Huabin Zheng Wayne Zhang Ziwei Liu OODD 88 130 0 26 Aug 2021
Parametric Contrastive Learning Jiequan Cui Zhisheng Zhong Shu Liu Bei Yu Jiaya Jia 87 280 0 26 Jul 2021
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Yixuan Li OODD 271 1,356 0 08 Oct 2020
Long-tail learning via logit adjustment A. Menon Sadeep Jayasumana A. S. Rawat Himanshu Jain Andreas Veit Sanjiv Kumar 120 709 0 14 Jul 2020
Supervised Contrastive Learning Prannay Khosla Piotr Teterwak Chen Wang Aaron Sarna Yonglong Tian Phillip Isola Aaron Maschinot Ce Liu Dilip Krishnan SSL 149 4,547 0 23 Apr 2020
Equalization Loss for Long-Tailed Object Recognition Jingru Tan Changbao Wang Buyu Li Quanquan Li Wanli Ouyang Changqing Yin Junjie Yan 318 463 0 11 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 95 573 0 26 Feb 2020
Novelty Detection Via Blurring Sung-Ik Choi Sae-Young Chung UQCV 40 36 0 27 Nov 2019
Decoupling Representation and Classifier for Long-Tailed Recognition Bingyi Kang Saining Xie Marcus Rohrbach Zhicheng Yan Albert Gordo Jiashi Feng Yannis Kalantidis OODD 177 1,219 0 21 Oct 2019
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss Kaidi Cao Colin Wei Adrien Gaidon Nikos Arechiga Tengyu Ma 127 1,602 0 18 Jun 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 619 4,780 0 13 May 2019
Large-Scale Long-Tailed Recognition in an Open World Ziwei Liu Zhongqi Miao Xiaohang Zhan Jiayun Wang Boqing Gong Stella X. Yu 151 1,160 0 10 Apr 2019
Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem Matthias Hein Maksym Andriushchenko Julian Bitterwolf OODD 167 558 0 13 Dec 2018
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 183 1,478 0 11 Dec 2018
Reducing Network Agnostophobia A. Dhamija Manuel Günther Terrance E. Boult AAML UQCV 73 302 0 09 Nov 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks Kimin Lee Kibok Lee Honglak Lee Jinwoo Shin OODD 187 2,051 0 10 Jul 2018
Predictive Uncertainty Estimation via Prior Networks A. Malinin Mark Gales UD BDL EDL UQCV PER 186 920 0 28 Feb 2018
A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets P. Chrabaszcz I. Loshchilov Frank Hutter SSeg OOD 161 647 0 27 Jul 2017
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 158 3,454 0 07 Oct 2016
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 333 8,130 0 13 Aug 2016
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 463 43,305 0 11 Feb 2015
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images Anh Totti Nguyen J. Yosinski Jeff Clune AAML 169 3,271 0 05 Dec 2014
Describing Textures in the Wild Mircea Cimpoi Subhransu Maji Iasonas Kokkinos S. Mohamed Andrea Vedaldi 3DV 130 2,674 0 14 Nov 2013
SMOTE: Synthetic Minority Over-sampling Technique Nitesh Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 371 25,646 0 09 Jun 2011