Concurrent Self-testing of Neural Networks Using Uncertainty Fingerprint

2 January 2024

Papers citing "Concurrent Self-testing of Neural Networks Using Uncertainty Fingerprint"

7 / 7 papers shown

Title
Scalable and Efficient Methods for Uncertainty Estimation and Reduction in Deep Learning Soyed Tuhin Ahmed BDL 40 0 0 13 Jan 2024
Spatial-SpinDrop: Spatial Dropout-based Binary Bayesian Neural Network with Spintronics Implementation Soyed Tuhin Ahmed K. Danouchi Michael Hefenbrock G. Prenat L. Anghel M. Tahoori 46 8 0 16 Jun 2023
Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models Zangwei Zheng Mingyu Ma Kai Wang Ziheng Qin Xiangyu Yue Yang You CLL VLM 109 69 0 12 Mar 2023
Open-Set Recognition: a Good Closed-Set Classifier is All You Need? S. Vaze Kai Han Andrea Vedaldi Andrew Zisserman BDL 169 413 0 12 Oct 2021
Forward and Backward Information Retention for Accurate Binary Neural Networks Haotong Qin Ruihao Gong Xianglong Liu Mingzhu Shen Ziran Wei F. Yu Jingkuan Song MQ 133 324 0 24 Sep 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 278 5,695 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 289 9,167 0 06 Jun 2015