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"

22 / 22 papers shown

Title
Model Adaptation: Unsupervised Domain Adaptation without Source Data Rui Li Qianfen Jiao Wenming Cao Hau-San Wong Si Wu OOD 276 493 0 26 Feb 2025
Leveraging Unlabeled Data to Predict Out-of-Distribution Performance Saurabh Garg Sivaraman Balakrishnan Zachary Chase Lipton Behnam Neyshabur Hanie Sedghi OODD OOD 78 131 0 11 Jan 2022
Predicting with Confidence on Unseen Distributions Devin Guillory Vaishaal Shankar Sayna Ebrahimi Trevor Darrell Ludwig Schmidt UQCV OOD 71 123 0 07 Jul 2021
Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles Jiefeng Chen Frederick Liu Besim Avci Xi Wu Yingyu Liang S. Jha 88 64 0 29 Jun 2021
Assessing Generalization of SGD via Disagreement Yiding Jiang Vaishnavh Nagarajan Christina Baek J. Zico Kolter 95 115 0 25 Jun 2021
What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments? Weijian Deng Stephen Gould Liang Zheng 78 64 0 10 Jun 2021
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples Mahmoud Assran Mathilde Caron Ishan Misra Piotr Bojanowski Armand Joulin Nicolas Ballas Michael G. Rabbat SSL 65 153 0 28 Apr 2021
Are Labels Always Necessary for Classifier Accuracy Evaluation? Weijian Deng Liang Zheng 58 118 0 06 Jul 2020
Estimating Generalization under Distribution Shifts via Domain-Invariant Representations Ching-Yao Chuang Antonio Torralba Stefanie Jegelka OOD 49 64 0 06 Jul 2020
Domain Adaptation without Source Data Youngeun Kim Donghyeon Cho Kyeongtak Han Priyadarshini Panda Sungeun Hong TTA 98 178 0 03 Jul 2020
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin OCL SSL 264 4,101 0 17 Jun 2020
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation Jian Liang Dapeng Hu Jiashi Feng 116 1,251 0 20 Feb 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence Kihyuk Sohn David Berthelot Chun-Liang Li Zizhao Zhang Nicholas Carlini E. D. Cubuk Alexey Kurakin Han Zhang Colin Raffel AAML 163 3,578 0 21 Jan 2020
RandAugment: Practical automated data augmentation with a reduced search space E. D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le MQ 260 3,505 0 30 Sep 2019
Bag of Tricks for Image Classification with Convolutional Neural Networks Tong He Zhi-Li Zhang Hang Zhang Zhongyue Zhang Junyuan Xie Mu Li 293 1,421 0 04 Dec 2018
VisDA: The Visual Domain Adaptation Challenge Xingchao Peng Ben Usman Neela Kaushik Judy Hoffman Dequan Wang Kate Saenko OOD 93 806 0 18 Oct 2017
Improved Regularization of Convolutional Neural Networks with Cutout Terrance Devries Graham W. Taylor 137 3,775 0 15 Aug 2017
Deep Hashing Network for Unsupervised Domain Adaptation Hemanth Venkateswara José Eusébio Shayok Chakraborty S. Panchanathan OOD 147 2,059 0 22 Jun 2017
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 299 5,871 0 14 Jun 2017
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning Takeru Miyato S. Maeda Masanori Koyama S. Ishii GAN 153 2,739 0 13 Apr 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 860 9,353 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 390 9,524 0 28 May 2015