Deep causal representation learning for unsupervised domain adaptation

28 October 2019

Huan Liu

Papers citing "Deep causal representation learning for unsupervised domain adaptation"

25 / 25 papers shown

Title
Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation Ruijia Xu Guanbin Li Jihan Yang Liang Lin 29 17 0 19 Nov 2018
Stable Prediction across Unknown Environments Kun Kuang Ruoxuan Xiong Peng Cui Susan Athey Bo Li OOD 40 167 0 16 Jun 2018
Multimodal Explanations: Justifying Decisions and Pointing to the Evidence Dong Huk Park Lisa Anne Hendricks Zeynep Akata Anna Rohrbach Bernt Schiele Trevor Darrell Marcus Rohrbach 61 421 0 15 Feb 2018
Deep Visual Domain Adaptation: A Survey Mei Wang Weihong Deng OOD 47 2,002 0 10 Feb 2018
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 216 19,796 0 07 Oct 2016
Deep CORAL: Correlation Alignment for Deep Domain Adaptation Baochen Sun Kate Saenko OOD 79 3,123 0 06 Jul 2016
Coupled Generative Adversarial Networks Ming-Yuan Liu Oncel Tuzel OOD GAN 69 1,626 0 24 Jun 2016
Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions? Abhishek Das Harsh Agrawal C. L. Zitnick Devi Parikh Dhruv Batra 77 465 0 11 Jun 2016
Fine-to-coarse Knowledge Transfer For Low-Res Image Classification Xingchao Peng Judy Hoffman Stella X. Yu Kate Saenko 44 65 0 21 May 2016
Deep Transfer Learning with Joint Adaptation Networks Mingsheng Long Hanhua Zhu Jianmin Wang Michael I. Jordan TTA 76 2,451 0 21 May 2016
Unsupervised Domain Adaptation with Residual Transfer Networks Mingsheng Long Hanjing Zhu Jianmin Wang Michael I. Jordan OOD 79 1,484 0 14 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.4K 192,638 0 10 Dec 2015
Return of Frustratingly Easy Domain Adaptation Baochen Sun Jiashi Feng Kate Saenko OOD 60 1,831 0 17 Nov 2015
BinaryConnect: Training Deep Neural Networks with binary weights during propagations Matthieu Courbariaux Yoshua Bengio J. David MQ 139 2,976 0 02 Nov 2015
Simultaneous Deep Transfer Across Domains and Tasks Eric Tzeng Judy Hoffman Trevor Darrell Kate Saenko OOD 64 1,367 0 08 Oct 2015
Learning Transferable Features with Deep Adaptation Networks Mingsheng Long Yue Cao Jianmin Wang Michael I. Jordan OOD 197 5,177 0 10 Feb 2015
Causal inference using invariant prediction: identification and confidence intervals J. Peters Peter Buhlmann N. Meinshausen OOD 93 961 0 06 Jan 2015
Deep Domain Confusion: Maximizing for Domain Invariance Eric Tzeng Judy Hoffman Ning Zhang Kate Saenko Trevor Darrell OOD 148 2,588 0 10 Dec 2014
Visual Causal Feature Learning Krzysztof Chalupka Pietro Perona F. Eberhardt CML OOD 45 139 0 07 Dec 2014
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 148 8,309 0 06 Nov 2014
Unsupervised Domain Adaptation by Backpropagation Yaroslav Ganin Victor Lempitsky OOD 218 5,990 0 26 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.1K 39,383 0 01 Sep 2014
Rich feature hierarchies for accurate object detection and semantic segmentation Ross B. Girshick Jeff Donahue Trevor Darrell Jitendra Malik ObjD 224 26,122 0 11 Nov 2013
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition Jeff Donahue Yangqing Jia Oriol Vinyals Judy Hoffman Ning Zhang Eric Tzeng Trevor Darrell VLM ObjD 160 4,946 0 06 Oct 2013
On Causal and Anticausal Learning Bernhard Schölkopf Dominik Janzing J. Peters Eleni Sgouritsa Kun Zhang Joris Mooij CML 74 604 0 27 Jun 2012