Machine Learning - Special issue on inductive transfer
Laplacian Eigenmaps for dimensionality reduction and data representation
Neural Computation
Beyond the point cloud: from transductive to semi-supervised learning
ICML '05 Proceedings of the 22nd international conference on Machine learning
Nonlinear Autoassociation Is Not Equivalent to PCA
Neural Computation
Dimensionality Reduction by Learning an Invariant Mapping
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
A fast learning algorithm for deep belief nets
Neural Computation
A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data
The Journal of Machine Learning Research
Semi-Supervised Learning (Adaptive Computation and Machine Learning)
Semi-Supervised Learning (Adaptive Computation and Machine Learning)
The Journal of Machine Learning Research
Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples
The Journal of Machine Learning Research
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part III
Identifying histological elements with convolutional neural networks
CSTST '08 Proceedings of the 5th international conference on Soft computing as transdisciplinary science and technology
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Deep learning from temporal coherence in video
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Dynamic network data exploration through semi-supervised functional embedding
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Learning Deep Architectures for AI
Foundations and Trends® in Machine Learning
Why Does Unsupervised Pre-training Help Deep Learning?
The Journal of Machine Learning Research
Open-domain semantic role labeling by modeling word spans
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Large-margin classification in infinite neural networks
Neural Computation
LDA based similarity modeling for question answering
SS '10 Proceedings of the NAACL HLT 2010 Workshop on Semantic Search
Deep bottleneck classifiers in supervised dimension reduction
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part III
Research frontier: deep machine learning--a new frontier in artificial intelligence research
IEEE Computational Intelligence Magazine
The Journal of Machine Learning Research
Discriminative deep belief networks for visual data classification
Pattern Recognition
Unsupervised learning of hierarchical representations with convolutional deep belief networks
Communications of the ACM
Language models as representations for weakly-supervised NLP tasks
CoNLL '11 Proceedings of the Fifteenth Conference on Computational Natural Language Learning
Higher order contractive auto-encoder
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part II
On the expressive power of deep architectures
ALT'11 Proceedings of the 22nd international conference on Algorithmic learning theory
Bilinear deep learning for image classification
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Natural Language Processing (Almost) from Scratch
The Journal of Machine Learning Research
Kernel Analysis of Deep Networks
The Journal of Machine Learning Research
Semiconducting bilinear deep learning for incomplete image recognition
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
WCCI'12 Proceedings of the 2012 World Congress conference on Advances in Computational Intelligence
CoNet: feature generation for multi-view semi-supervised learning with partially observed views
Proceedings of the 21st ACM international conference on Information and knowledge management
Disentangling factors of variation for facial expression recognition
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
Convolutional Deep Networks for Visual Data Classification
Neural Processing Letters
Deep learning of representations: looking forward
SLSP'13 Proceedings of the First international conference on Statistical Language and Speech Processing
Editorial: Partially supervised learning for pattern recognition
Pattern Recognition Letters
Pattern classification and clustering: A review of partially supervised learning approaches
Pattern Recognition Letters
From machine learning to machine reasoning
Machine Learning
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We show how nonlinear embedding algorithms popular for use with shallow semi-supervised learning techniques such as kernel methods can be applied to deep multilayer architectures, either as a regularizer at the output layer, or on each layer of the architecture. This provides a simple alternative to existing approaches to deep learning whilst yielding competitive error rates compared to those methods, and existing shallow semi-supervised techniques.