Out-of-Distribution Detection using Multiple Semantic Label
Representations

Out-of-Distribution Detection using Multiple Semantic Label Representations

20 August 2018

Yossi Adi

Papers citing "Out-of-Distribution Detection using Multiple Semantic Label Representations"

15 / 15 papers shown

Title
Interactive System-wise Anomaly Detection Guanchu Wang Ninghao Liu Daochen Zha Xia Hu AAML 17 1 0 21 Apr 2023
Which models are innately best at uncertainty estimation? Ido Galil Mohammed Dabbah Ran El-Yaniv UQCV 26 5 0 05 Jun 2022
RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection Umar Khalid Ashkan Esmaeili Nazmul Karim Nazanin Rahnavard OODD 37 12 0 06 Apr 2022
Out-of-distribution Detection with Boundary Aware Learning Sen Pei Xin Zhang Bin Fan Gaofeng Meng OODD 21 8 0 22 Dec 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 185 877 0 21 Oct 2021
Revealing the Distributional Vulnerability of Discriminators by Implicit Generators Zhilin Zhao LongBing Cao Kun-Yu Lin 29 11 0 23 Aug 2021
On the Importance of Regularisation & Auxiliary Information in OOD Detection John Mitros Brian Mac Namee 21 2 0 15 Jul 2021
Contrastive Training for Improved Out-of-Distribution Detection Jim Winkens Rudy Bunel Abhijit Guha Roy Robert Stanforth Vivek Natarajan ... Alan Karthikesalingam Simon A. A. Kohl taylan. cemgil S. M. Ali Eslami Olaf Ronneberger OODD 11 234 0 10 Jul 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 24 559 0 26 Feb 2020
Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation Alireza Mehrtash W. Wells C. Tempany Purang Abolmaesumi Tina Kapur OOD FedML UQCV 18 262 0 29 Nov 2019
Detecting Out-of-Distribution Inputs in Deep Neural Networks Using an Early-Layer Output Vahdat Abdelzad Krzysztof Czarnecki Rick Salay Taylor Denouden Sachin Vernekar Buu Phan OODD 19 45 0 23 Oct 2019
Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy Qing Yu Kiyoharu Aizawa OODD 6 163 0 14 Aug 2019
Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift Stephan Rabanser Stephan Günnemann Zachary Chase Lipton 24 356 0 29 Oct 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 273 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015