Improve Unsupervised Domain Adaptation with Mixup Training

Improve Unsupervised Domain Adaptation with Mixup Training

3 January 2020

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Papers citing "Improve Unsupervised Domain Adaptation with Mixup Training"

19 / 19 papers shown

Title
Learning Fine-grained Domain Generalization via Hyperbolic State Space Hallucination Qi Bi Jingjun Yi Haolan Zhan Wei Ji Gui-Song Xia 119 2 0 10 Apr 2025
A Language Anchor-Guided Method for Robust Noisy Domain Generalization Zilin Dai Lehong Wang Fangzhou Lin Yidong Wang Zhigang Li Kazunori D Yamada Ziming Zhang Wang Lu 384 0 0 21 Mar 2025
What's in a Latent? Leveraging Diffusion Latent Space for Domain Generalization Xavier Thomas Deepti Ghadiyaram DiffM 167 0 0 09 Mar 2025
Fine-Grained Domain Generalization with Feature Structuralization Wenlong Yu Dongyue Chen Qilong Wang Qinghua Hu 81 0 0 13 Jun 2024
Learning Invariant Causal Mechanism from Vision-Language Models Changwen Zheng Siyu Zhao Xingyu Zhang Jiangmeng Li Changwen Zheng Jingyao Wang CML BDL VLM 82 0 0 24 May 2024
Diverse Target and Contribution Scheduling for Domain Generalization Shaocong Long Qianyu Zhou Soham Dan Lizhuang Ma Yuan Luo 135 8 0 28 Sep 2023
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration Hiroki Naganuma Ryuichiro Hataya Kotaro Yoshida Ioannis Mitliagkas OODD 163 3 0 17 Jul 2023
MixMatch: A Holistic Approach to Semi-Supervised Learning David Berthelot Nicholas Carlini Ian Goodfellow Nicolas Papernot Avital Oliver Colin Raffel 145 3,029 0 06 May 2019
Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation Chao Chen Zhihong Chen Boyuan Jiang Xinyu Jin OOD 48 235 0 28 Aug 2018
A DIRT-T Approach to Unsupervised Domain Adaptation Rui Shu Hung Bui Hirokazu Narui Stefano Ermon 75 623 0 23 Feb 2018
Optimizing Kernel Machines using Deep Learning Huan Song Jayaraman J. Thiagarajan P. Sattigeri A. Spanias 38 53 0 15 Nov 2017
CyCADA: Cycle-Consistent Adversarial Domain Adaptation Judy Hoffman Eric Tzeng Taesung Park Jun-Yan Zhu Phillip Isola Kate Saenko Alexei A. Efros Trevor Darrell 144 3,002 0 08 Nov 2017
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 280 9,764 0 25 Oct 2017
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning Takeru Miyato S. Maeda Masanori Koyama S. Ishii GAN 148 2,734 0 13 Apr 2017
Asymmetric Tri-training for Unsupervised Domain Adaptation Kuniaki Saito Yoshitaka Ushiku Tatsuya Harada 115 587 0 27 Feb 2017
Adversarial Discriminative Domain Adaptation Eric Tzeng Judy Hoffman Kate Saenko Trevor Darrell GAN OOD 265 4,667 0 17 Feb 2017
Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation Muhammad Ghifary W. Kleijn Mengjie Zhang David Balduzzi Wen Li 88 865 0 12 Jul 2016
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 378 9,497 0 28 May 2015
Learning Transferable Features with Deep Adaptation Networks Mingsheng Long Yue Cao Jianmin Wang Michael I. Jordan OOD 220 5,206 0 10 Feb 2015