Incorporating Pre-training Data Matters in Unsupervised Domain Adaptation

6 August 2023

Papers citing "Incorporating Pre-training Data Matters in Unsupervised Domain Adaptation"

20 / 20 papers shown

Title
Balancing Discriminability and Transferability for Source-Free Domain Adaptation Jogendra Nath Kundu Akshay Ravindra Kulkarni Suvaansh Bhambri Deepesh Mehta Shreyas Kulkarni Varun Jampani R. Venkatesh Babu TTA 68 93 0 16 Jun 2022
Confidence Score for Source-Free Unsupervised Domain Adaptation Jonghyun Lee Dahuin Jung Junho Yim Sung-Hoon Yoon TTA 48 74 0 14 Jun 2022
Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation Shiqi Yang Yaxing Wang Kai Wang Shangling Jui Joost van de Weijer 62 139 0 09 May 2022
Source-Free Domain Adaptation via Distribution Estimation Ning Ding Yixing Xu Yehui Tang Chao Xu Yunhe Wang Dacheng Tao TTA 44 115 0 24 Apr 2022
It's About Time: Analog Clock Reading in the Wild Charig Yang Weidi Xie Andrew Zisserman 50 16 0 17 Nov 2021
Robust fine-tuning of zero-shot models Mitchell Wortsman Gabriel Ilharco Jong Wook Kim Mike Li Simon Kornblith ... Raphael Gontijo-Lopes Hannaneh Hajishirzi Ali Farhadi Hongseok Namkoong Ludwig Schmidt VLM 117 721 0 04 Sep 2021
Dynamic Weighted Learning for Unsupervised Domain Adaptation Ning Xiao Lei Zhang 35 145 0 22 Mar 2021
Big Self-Supervised Models Advance Medical Image Classification Shekoofeh Azizi Basil Mustafa Fiona Ryan Zach Beaver Jan Freyberg ... Alan Karthikesalingam Simon Kornblith Ting-Li Chen Vivek Natarajan Mohammad Norouzi SSL 105 514 0 13 Jan 2021
Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation Shuang Li Fangrui Lv Binhui Xie Chi Harold Liu Jian Liang Chen Qin 52 115 0 13 Dec 2020
Dual Mixup Regularized Learning for Adversarial Domain Adaptation Yuan Wu Diana Inkpen Ahmed El-Roby 49 168 0 07 Jul 2020
Domain Adaptation without Source Data Youngeun Kim Donghyeon Cho Kyeongtak Han Priyadarshini Panda Sungeun Hong TTA 91 176 0 03 Jul 2020
In Search of Lost Domain Generalization Ishaan Gulrajani David Lopez-Paz OOD 76 1,137 0 02 Jul 2020
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation Jian Liang Dapeng Hu Jiashi Feng 95 1,238 0 20 Feb 2020
Transfusion: Understanding Transfer Learning for Medical Imaging M. Raghu Chiyuan Zhang Jon M. Kleinberg Samy Bengio MedIm 75 982 0 14 Feb 2019
Rethinking ImageNet Pre-training Kaiming He Ross B. Girshick Piotr Dollár VLM SSeg 125 1,084 0 21 Nov 2018
Do Better ImageNet Models Transfer Better? Simon Kornblith Jonathon Shlens Quoc V. Le OOD MLT 153 1,324 0 23 May 2018
Explicit Inductive Bias for Transfer Learning with Convolutional Networks Xuhong Li Yves Grandvalet Franck Davoine SSL 74 354 0 05 Feb 2018
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 271 9,743 0 25 Oct 2017
Deep Hashing Network for Unsupervised Domain Adaptation Hemanth Venkateswara José Eusébio Shayok Chakraborty S. Panchanathan OOD 138 2,041 0 22 Jun 2017
Unsupervised Domain Adaptation by Backpropagation Yaroslav Ganin Victor Lempitsky OOD 231 6,019 0 26 Sep 2014