Aries: Efficient Testing of Deep Neural Networks via Labeling-Free
Accuracy Estimation

Aries: Efficient Testing of Deep Neural Networks via Labeling-Free Accuracy Estimation

22 July 2022

Yuejun Guo

Papers citing "Aries: Efficient Testing of Deep Neural Networks via Labeling-Free Accuracy Estimation"

6 / 6 papers shown

Title
VLATest: Testing and Evaluating Vision-Language-Action Models for Robotic Manipulation Zhijie Wang Zhehua Zhou Jiayang Song Yuheng Huang Zhan Shu Lei Ma LM&Ro 71 5 0 19 Sep 2024
A3Rank: Augmentation Alignment Analysis for Prioritizing Overconfident Failing Samples for Deep Learning Models Zhengyuan Wei Haipeng Wang Qili Zhou William Chan 34 0 0 19 Jul 2024
Curved Representation Space of Vision Transformers Juyeop Kim Junha Park Songkuk Kim Jongseok Lee ViT 38 6 0 11 Oct 2022
LaF: Labeling-Free Model Selection for Automated Deep Neural Network Reusing Qiang Hu Yuejun Guo Maxime Cordy Xiaofei Xie Mike Papadakis Yves Le Traon 23 5 0 08 Apr 2022
Globally-Robust Neural Networks Klas Leino Zifan Wang Matt Fredrikson AAML OOD 80 125 0 16 Feb 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015