GeezerVison

Contents:

• Introduction
• Fundamentals and theory
• Challenge contributions
• Advances in transfer learning

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ICML2011 Unsupervised and Transfer Learning Workshop

David L. Silver, Isabelle Guyon, Graham Taylor, Gideon Dror, Vincent Lemaire; Proceedings of ICML Workshop on Unsupervised and Transfer Learning, PMLR 27:1-15

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Deep Learning of Representations for Unsupervised and Transfer Learning

Yoshua Bengio; Proceedings of ICML Workshop on Unsupervised and Transfer Learning, PMLR 27:17-36

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Autoencoders, Unsupervised Learning, and Deep Architectures

Pierre Baldi; Proceedings of ICML Workshop on Unsupervised and Transfer Learning, PMLR 27:37-49

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Information Theoretic Model Selection for Pattern Analysis

Joachim M. Buhmann, Morteza H. Chehreghani, Mario Frank, Andreas P. Streich; Proceedings of ICML Workshop on Unsupervised and Transfer Learning, PMLR 27:51-64

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Clustering: Science or Art?

Ulrike von Luxburg, Robert C. Williamson, Isabelle Guyon; Proceedings of ICML Workshop on Unsupervised and Transfer Learning, PMLR 27:65-79

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Transfer Learning by Kernel Meta-Learning

Fabio Aiolli; Proceedings of ICML Workshop on Unsupervised and Transfer Learning, PMLR 27:81-95

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Unsupervised and Transfer Learning Challenge: a Deep Learning Approach

Grégoire Mesnil, Yann Dauphin, Xavier Glorot, Salah Rifai, Yoshua Bengio, Ian Goodfellow, Erick Lavoie, Xavier Muller, Guillaume Desjardins, David Warde-Farley, Pascal Vincent, Aaron Courville, James Bergstra; Proceedings of ICML Workshop on Unsupervised and Transfer Learning, PMLR 27:97-110

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Stochastic Unsupervised Learning on Unlabeled Data

Chuanren Liu, Jianjun Xie, Yong Ge, Hui Xiong; Proceedings of ICML Workshop on Unsupervised and Transfer Learning, PMLR 27:111-122

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Transfer Learning with Cluster Ensembles

Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh, Sreangsu Acharyya; Proceedings of ICML Workshop on Unsupervised and Transfer Learning, PMLR 27:123-132

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Divide and Transfer: an Exploration of Segmented Transfer to Detect Wikipedia Vandalism

Si-Chi Chin, W. Nick Street; Proceedings of ICML Workshop on Unsupervised and Transfer Learning, PMLR 27:133-144

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Self-measuring Similarity for Multi-task Gaussian Process

Kohei Hayashi, Takashi Takenouchi, Ryota Tomioka, Hisashi Kashima; Proceedings of ICML Workshop on Unsupervised and Transfer Learning, PMLR 27:145-153

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Transfer Learning for Auto-gating of Flow Cytometry Data

Gyemin Lee, Lloyd Stoolman, Clayton Scott; Proceedings of ICML Workshop on Unsupervised and Transfer Learning, PMLR 27:155-165

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Inductive Transfer for Bayesian Network Structure Learning

Alexandru Niculescu-Mizil, Rich Caruana; Proceedings of ICML Workshop on Unsupervised and Transfer Learning, PMLR 27:167-180

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Unsupervised dimensionality reduction via gradient-based matrix factorization with two adaptive learning rates

Vladimir Nikulin, Tian-Hsiang Huang; Proceedings of ICML Workshop on Unsupervised and Transfer Learning, PMLR 27:181-194

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One-Shot Learning with a Hierarchical Nonparametric Bayesian Model

Ruslan Salakhutdinov, Joshua Tenenbaum, Antonio Torralba; Proceedings of ICML Workshop on Unsupervised and Transfer Learning, PMLR 27:195-206

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Multitask Learning in Computational Biology

Christian Widmer, Gunnar Rätsch; Proceedings of ICML Workshop on Unsupervised and Transfer Learning, PMLR 27:207-216

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Transfer Learning in Sequential Decision Problems: A Hierarchical Bayesian Approach

Aaron Wilson, Alan Fern, Prasad Tadepalli; Proceedings of ICML Workshop on Unsupervised and Transfer Learning, PMLR 27:217-227

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