Volume 27: Proceedings of ICML Workshop on Unsupervised and Transfer Learning, 02 July 2011, Bellevue, Washington, USA

[edit]

Editors: Isabelle Guyon, Gideon Dror, Vincent Lemaire, Graham Taylor, Daniel Silver

[bib][citeproc]

Introduction

ICML2011 Unsupervised and Transfer Learning Workshop

David L. Silver, Isabelle Guyon, Graham Taylor, G. Dror, V. Lemaire ; PMLR 27:1-15

Fundamentals and theory

Deep Learning of Representations for Unsupervised and Transfer Learning

Y. Bengio ; PMLR 27:17-36

Autoencoders, Unsupervised Learning, and Deep Architectures

P. Baldi ; PMLR 27:37-49

Information Theoretic Model Selection for Pattern Analysis

J. M. Buhmann, M. H. Chehreghani, M. Frank, A. P. Streich ; PMLR 27:51-64

Clustering: Science or Art?

U. von Luxburg, R. C. Williamson, Isabelle Guyon ; PMLR 27:65-79

Challenge contributions

Transfer Learning by Kernel Meta-Learning

F. Aiolli ; PMLR 27:81-95

Unsupervised and Transfer Learning Challenge: a Deep Learning Approach

Grégoire Mesnil Yann Dauphin, Xavier Glorot, Salah Rifai1, Yoshua Bengio, Ian Goodfellow, Erick Lavoie, Xavier Muller, Guillaume Desjardins, David Warde-Farley, Pascal Vincent, Aaron Courville, James Bergstra ; PMLR 27:97-110

Stochastic Unsupervised Learning on Unlabeled Data

C. Liu, J. Xie, Y. Ge, H. Xiong ; PMLR 27:111-122

Advances in transfer learning

Transfer Learning with Cluster Ensembles

A. Acharya, E. R. Hruschka, J. Ghosh, S. Acharyya ; PMLR 27:123-132

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

S.-C. Chin, W.N. Street ; PMLR 27:133-144

Self-measuring Similarity for Multi-task Gaussian Process

Kohei Hayashi, Takashi Takenouchi, Ryota Tomioka, Hisashi Kashima ; PMLR 27:145-153

Transfer Learning for Auto-gating of Flow Cytometry Data

G. Lee, L. Stoolman, C. Scott ; PMLR 27:155-165

Inductive Transfer for Bayesian Network Structure Learning

A. Niculescu-Mizil, R. Caruana ; PMLR 27:167-180

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

V. Nikulin, T.-H. Huang ; PMLR 27:181-194

One-Shot Learning with a Hierarchical Nonparametric Bayesian Model

Ruslan Salakhutdinov, Joshua Tenenbaum, Antonio Torralba ; PMLR 27:195-206

Multitask Learning in Computational Biology

C. Widmer, G. Rätsch ; PMLR 27:207-216

Transfer Learning in Sequential Decision Problems: A Hierarchical Bayesian Approach

A. Wilson, A. Fern, P. Tadepalli ; PMLR 27:217-227

subscribe via RSS

This site last compiled Sat, 29 Apr 2017 14:06:44 +0000
Github Account Copyright © PMLR 2017. All rights reserved.