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In this work, we face the problem of unsupervised domain adaptation with a novel deep learning approach which leverages on our finding that entropy minimization is induced by the optimal alignment of second order statistics between source and target domains.
Semi-supervised learning by entropy minimization, 2004
Yves Grandvalet and Yoshua Bengio · 2004
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Geometric means in a novel vector space structure on symmetric positive-definite matrices
Vincent Arsigny, Pierre Fillard, Xavier Pennec, and Nicholas Ayache · 2007
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Domain adaptation for large-scale sentiment classification: A deep learning approach
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Yanghao Li, Naiyan Wang, Jianping Shi, Jiaying Liu, and Xiaodi Hou · 2016
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Deep CORAL: correlation alignment for deep domain adaptation
Baochen Sun and Kate Saenko · 2016
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Efficient temporal sequence comparison and classification using gram matrix embeddings on a riemannian manifold
Xikang Zhang, Yin Wang, Mengran Gou, Mario Sznaier, and Octavia Camps · 2016
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Autodial: Automatic domain alignment layers
Fabio Maria Carlucci, Lorenzo Porzi, Barbara Caputo, Elisa Ricci, and Samuel Rota Bulo · 2017
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Jacopo Cavazza, Pietro Morerio, and Vittorio Murino · 2017
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Jacopo Cavazza, Andrea Zunino, Marco San Biagio, and Vittorio Murino · 2016
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