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[1] Karsten M. Borgwardt,et al. Covariate Shift by Kernel Mean Matching , 2009, NIPS 2009.
[2] Bo Wang,et al. Moment Matching for Multi-Source Domain Adaptation , 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[3] Lincan Zou,et al. Improve Unsupervised Domain Adaptation with Mixup Training , 2020, ArXiv.
[4] David Lopez-Paz,et al. Invariant Risk Minimization , 2019, ArXiv.
[5] Jure Leskovec,et al. WILDS: A Benchmark of in-the-Wild Distribution Shifts , 2021, ICML.
[6] Swami Sankaranarayanan,et al. MetaReg: Towards Domain Generalization using Meta-Regularization , 2018, NeurIPS.
[7] Ye Xu,et al. Unbiased Metric Learning: On the Utilization of Multiple Datasets and Web Images for Softening Bias , 2013, 2013 IEEE International Conference on Computer Vision.
[8] Neil D. Lawrence,et al. Dataset Shift in Machine Learning , 2009 .
[9] Bernhard Schölkopf,et al. A Kernel Method for the Two-Sample-Problem , 2006, NIPS.
[10] Koby Crammer,et al. A theory of learning from different domains , 2010, Machine Learning.
[11] 知秀 柴田. 5分で分かる!? 有名論文ナナメ読み:Jacob Devlin et al. : BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding , 2020 .
[12] Rachael Tatman,et al. Gender and Dialect Bias in YouTube’s Automatic Captions , 2017, EthNLP@EACL.
[13] C A Nelson,et al. Learning to Learn , 2017, Encyclopedia of Machine Learning and Data Mining.
[14] Eric P. Xing,et al. Learning Robust Global Representations by Penalizing Local Predictive Power , 2019, NeurIPS.
[15] Fabio Maria Carlucci,et al. Domain Generalization by Solving Jigsaw Puzzles , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[16] Kilian Q. Weinberger,et al. Densely Connected Convolutional Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[17] Eric P. Xing,et al. Self-Challenging Improves Cross-Domain Generalization , 2020, ECCV.
[18] Gang Niu,et al. Does Distributionally Robust Supervised Learning Give Robust Classifiers? , 2016, ICML.
[19] Ming-Wei Chang,et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.
[20] Yongxin Yang,et al. Episodic Training for Domain Generalization , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[21] Sergey Levine,et al. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks , 2017, ICML.
[22] Percy Liang,et al. Fairness Without Demographics in Repeated Loss Minimization , 2018, ICML.
[23] Matthias Bethge,et al. Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet , 2019, ICLR.
[24] Moustapha Cissé,et al. ConvNets and ImageNet Beyond Accuracy: Explanations, Bias Detection, Adversarial Examples and Model Criticism , 2017, ArXiv.
[25] Yongxin Yang,et al. Learning to Generalize: Meta-Learning for Domain Generalization , 2017, AAAI.
[26] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[27] Marc'Aurelio Ranzato,et al. Gradient Episodic Memory for Continual Learning , 2017, NIPS.
[28] Kate Saenko,et al. Deep CORAL: Correlation Alignment for Deep Domain Adaptation , 2016, ECCV Workshops.
[29] D. Tao,et al. Deep Domain Generalization via Conditional Invariant Adversarial Networks , 2018, ECCV.
[30] Yongxin Yang,et al. Deeper, Broader and Artier Domain Generalization , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[31] Masanori Koyama,et al. Out-of-Distribution Generalization with Maximal Invariant Predictor , 2020, ArXiv.
[32] Bernhard Schölkopf,et al. A Causal Perspective on Domain Adaptation , 2015 .
[33] Alex ChiChung Kot,et al. Domain Generalization with Adversarial Feature Learning , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[34] Sethuraman Panchanathan,et al. Deep Hashing Network for Unsupervised Domain Adaptation , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[35] Brendan T. O'Connor,et al. Demographic Dialectal Variation in Social Media: A Case Study of African-American English , 2016, EMNLP.
[36] Alexei A. Efros,et al. Unbiased look at dataset bias , 2011, CVPR 2011.
[37] Matthias Bethge,et al. ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness , 2018, ICLR.
[38] Marcin Andrychowicz,et al. Learning to learn by gradient descent by gradient descent , 2016, NIPS.
[39] Percy Liang,et al. Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization , 2019, ArXiv.
[40] Joshua Achiam,et al. On First-Order Meta-Learning Algorithms , 2018, ArXiv.
[41] Daniel C. Castro,et al. Domain Generalization via Model-Agnostic Learning of Semantic Features , 2019, NeurIPS.
[42] David Lopez-Paz,et al. In Search of Lost Domain Generalization , 2020, ICLR.
[43] Pietro Perona,et al. Recognition in Terra Incognita , 2018, ECCV.