Layer Adaptive Deep Neural Networks for Out-of-Distribution Detection
- 11 May 2022
- book chapter
- Published by Springer Nature
- p. 526-538
Abstract
No abstract availableKeywords
All Related Versions
This publication has 10 references indexed in Scilit:
- Fairness-Aware Online Meta-learning2021
- Multi-Class Data Description for Out-of-distribution Detection2020
- Rank-Based Multi-task Learning for Fair Regression2019
- Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-Out Classifiers2018
- Interpreting Deep Visual Representations via Network DissectionIEEE Transactions on Pattern Analysis and Machine Intelligence, 2018
- Hyperparameter selection of one-class support vector machine by self-adaptive data shiftingPattern Recognition, 2018
- Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization2017
- The cascading neural network: building the Internet of Smart ThingsKnowledge and Information Systems, 2017
- Describing Textures in the Wild2014
- Selecting Critical Patterns Based on Local Geometrical and Statistical InformationIEEE Transactions on Pattern Analysis and Machine Intelligence, 2010