Learning smooth representations with generalized softmax for unsupervised domain adaptation
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Chao Han | Maoguo Gong | Yu Lei | Deyun Zhou | Yu Xie | Maoguo Gong | Deyun Zhou | Yu Xie | Yu Lei | Chao Han
[1] Byunghan Lee,et al. Deep learning in bioinformatics , 2016, Briefings Bioinform..
[2] Michael I. Jordan,et al. Unsupervised Domain Adaptation with Residual Transfer Networks , 2016, NIPS.
[3] Trevor Darrell,et al. Deep Domain Confusion: Maximizing for Domain Invariance , 2014, CVPR 2014.
[4] Qiang Yang,et al. A Survey on Transfer Learning , 2010, IEEE Transactions on Knowledge and Data Engineering.
[5] Andrew Y. Ng,et al. Learning Feature Representations with K-Means , 2012, Neural Networks: Tricks of the Trade.
[6] Qilong Wang,et al. Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[7] Yun Fu,et al. Robust Transfer Metric Learning for Image Classification , 2017, IEEE Transactions on Image Processing.
[8] Ivor W. Tsang,et al. Domain Adaptation via Transfer Component Analysis , 2009, IEEE Transactions on Neural Networks.
[9] Qing Ling,et al. On the Linear Convergence of the ADMM in Decentralized Consensus Optimization , 2013, IEEE Transactions on Signal Processing.
[10] Jianmin Wang,et al. Multi-Adversarial Domain Adaptation , 2018, AAAI.
[11] Mei Wang,et al. Deep Visual Domain Adaptation: A Survey , 2018, Neurocomputing.
[12] Trevor Darrell,et al. Adversarial Discriminative Domain Adaptation , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[13] Léon Bottou,et al. Wasserstein Generative Adversarial Networks , 2017, ICML.
[14] François Laviolette,et al. Domain-Adversarial Training of Neural Networks , 2015, J. Mach. Learn. Res..
[15] Pascal Fua,et al. Residual Parameter Transfer for Deep Domain Adaptation , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[16] Edwin Lughofer,et al. Robust Unsupervised Domain Adaptation for Neural Networks via Moment Alignment , 2017, Inf. Sci..
[17] Muhammad Uzair,et al. Blind Domain Adaptation With Augmented Extreme Learning Machine Features , 2017, IEEE Transactions on Cybernetics.
[18] Koby Crammer,et al. Learning Bounds for Domain Adaptation , 2007, NIPS.
[19] Yuan Shi,et al. Geodesic flow kernel for unsupervised domain adaptation , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[20] Jiani Hu,et al. Unsupervised Domain Adaptation by regularizing Softmax Activation , 2018, 2018 24th International Conference on Pattern Recognition (ICPR).
[21] Tatsuya Harada,et al. Maximum Classifier Discrepancy for Unsupervised Domain Adaptation , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[22] Yoshua Bengio,et al. Challenges in representation learning: A report on three machine learning contests , 2013, Neural Networks.
[23] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[24] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[25] Kate Saenko,et al. Return of Frustratingly Easy Domain Adaptation , 2015, AAAI.
[26] Michael I. Jordan,et al. Deep Transfer Learning with Joint Adaptation Networks , 2016, ICML.
[27] Chao Chen,et al. Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation , 2018, AAAI.
[28] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[29] Koby Crammer,et al. A theory of learning from different domains , 2010, Machine Learning.
[30] Zhiguo Cao,et al. When Unsupervised Domain Adaptation Meets Tensor Representations , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[31] Michael I. Jordan,et al. Learning Transferable Features with Deep Adaptation Networks , 2015, ICML.
[32] Koby Crammer,et al. Analysis of Representations for Domain Adaptation , 2006, NIPS.
[33] Mengjie Zhang,et al. Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[34] Edwin Lughofer,et al. Domain-Invariant Partial-Least-Squares Regression. , 2018, Analytical chemistry.
[35] Chao Han,et al. Visual domain adaptation based on modified A-distance and sparse filtering , 2020, Pattern Recognit..
[36] Dong Xu,et al. Collaborative and Adversarial Network for Unsupervised Domain Adaptation , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[37] Edwin Lughofer,et al. Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning , 2017, ICLR.
[38] Philip S. Yu,et al. Transfer Feature Learning with Joint Distribution Adaptation , 2013, 2013 IEEE International Conference on Computer Vision.