Improving Reconstruction Autoencoder Out-of-distribution Detection with Mahalanobis Distance

6 December 2018

Papers citing "Improving Reconstruction Autoencoder Out-of-distribution Detection with Mahalanobis Distance"

6 / 6 papers shown

Title
Autoencoders for Anomaly Detection are Unreliable Roel Bouman Tom Heskes 60 1 0 23 Jan 2025
Anomalous Example Detection in Deep Learning: A Survey Saikiran Bulusu B. Kailkhura Yue Liu P. Varshney D. Song AAML 107 47 0 16 Mar 2020
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks Kimin Lee Kibok Lee Honglak Lee Jinwoo Shin OODD 138 2,024 0 10 Jul 2018
Adversarially Learned One-Class Classifier for Novelty Detection Mohammad Sabokrou Mohammad Khalooei M. Fathy Ehsan Adeli AAML 115 690 0 25 Feb 2018
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks Shiyu Liang Yixuan Li R. Srikant UQCV OODD 126 2,054 0 08 Jun 2017
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 126 3,420 0 07 Oct 2016