Unsupervised Accuracy Estimation of Deep Visual Models using Domain-Adaptive Adversarial Perturbation without Source Samples

19 July 2023

Papers citing "Unsupervised Accuracy Estimation of Deep Visual Models using Domain-Adaptive Adversarial Perturbation without Source Samples"

5 / 5 papers shown

Title
Active Testing of Large Language Model via Multi-Stage Sampling Yuheng Huang Jiayang Song Qiang Hu Felix Juefei-Xu Lei Ma 27 2 0 07 Aug 2024
AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation Taeckyung Lee Sorn Chottananurak Taesik Gong Sung-Ju Lee 32 1 0 01 Apr 2024
Bag of Tricks for Image Classification with Convolutional Neural Networks Tong He Zhi-Li Zhang Hang Zhang Zhongyue Zhang Junyuan Xie Mu Li 221 1,399 0 04 Dec 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 267 9,136 0 06 Jun 2015
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 174 9,327 0 28 May 2015