Richard S. Zemel

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Learning Fair Representations.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Machine Learning, 2013

Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Machine Learning, 2013

Exploring Compositional High Order Pattern Potentials for Structured Output Learning.

[BibT_eX]

[DOI]

Yujia Li

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

CRF framework for supervised preference aggregation.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012

Structured Output Learning with High Order Loss Functions.

[BibT_eX]

[DOI]

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Randomized Optimum Models for Structured Prediction.

[BibT_eX]

[DOI]

Ryan Prescott Adams

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

A flexible generative model for preference aggregation.

[BibT_eX]

[DOI]

Proceedings of the 21st World Wide Web Conference 2012, 2012

Fast Exact Inference for Recursive Cardinality Models.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Collaborative Ranking With 17 Parameters.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Efficient Sampling for Bipartite Matching Problems.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Cardinality Restricted Boltzmann Machines.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Probabilistic n-Choose-k Models for Classification and Ranking.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Fairness through awareness.

[BibT_eX]

[DOI]

Proceedings of the Innovations in Theoretical Computer Science 2012, 2012

Active Learning for Matching Problems.

[BibT_eX]

[DOI]

Laurent Charlin

Proceedings of the 29th International Conference on Machine Learning, 2012

Learning to rank by aggregating expert preferences.

[BibT_eX]

[DOI]

Hugo Larochelle

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

Loss-sensitive Training of Probabilistic Conditional Random Fields

[BibT_eX]

[DOI]

Hugo Larochelle

CoRR, 2011

Ranking via Sinkhorn Propagation

[BibT_eX]

[DOI]

Ryan Prescott Adams

CoRR, 2011

Interpreting Graph Cuts as a Max-Product Algorithm

[BibT_eX]

[DOI]

CoRR, 2011

Graph Cuts is a Max-Product Algorithm.

[BibT_eX]

[DOI]

Proceedings of the UAI 2011, 2011

A Framework for Optimizing Paper Matching.

[BibT_eX]

[DOI]

Laurent Charlin

Proceedings of the UAI 2011, 2011

Recommender Systems, Missing Data and Statistical Model Estimation.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2011, 2011

2010

Comparing Classification Methods for Longitudinal fMRI Studies.

[BibT_eX]

[DOI]

Neural Comput., 2010

HOP-MAP: Efficient Message Passing with High Order Potentials.

[BibT_eX]

[DOI]

Inmar E. Givoni

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Learning Articulated Structure and Motion.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2010

2009

Automated detection of unusual events on stairs.

[BibT_eX]

[DOI]

Image Vis. Comput., 2009

Collaborative prediction and ranking with non-random missing data.

[BibT_eX]

[DOI]

Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

BoltzRank: learning to maximize expected ranking gain.

[BibT_eX]

[DOI]

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008

Learning Flexible Features for Conditional Random Fields.

[BibT_eX]

[DOI]

Liam Stewart

IEEE Trans. Pattern Anal. Mach. Intell., 2008

Encoding and Decoding Spikes for Dynamic Stimuli.

[BibT_eX]

[DOI]

Neural Comput., 2008

Population Coding with Motion Energy Filters: The Impact of Correlations.

[BibT_eX]

[DOI]

F. Klam

Alexandre Pouget

Neural Comput., 2008

Flexible Priors for Exemplar-based Clustering.

[BibT_eX]

[DOI]

Brendan J. Frey

Proceedings of the UAI 2008, 2008

Generative versus discriminative training of RBMs for classification of fMRI images.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Characterizing response behavior in multisensory perception with conflicting cues.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Learning Hybrid Models for Image Annotation with Partially Labeled Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Unsupervised Learning of Skeletons from Motion.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision, 2008

Learning stick-figure models using nonparametric Bayesian priors over trees.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Latent topic random fields: Learning using a taxonomy of labels.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007

Fast Population Coding.

[BibT_eX]

[DOI]

Neural Comput., 2007

Collaborative Filtering and the Missing at Random Assumption.

[BibT_eX]

[DOI]

Proceedings of the UAI 2007, 2007

2006

Learning Parts-Based Representations of Data.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2006

Topological map learning from outdoor image sequences.

[BibT_eX]

[DOI]

Volodymyr Mnih

J. Field Robotics, 2006

Combining discriminative features to infer complex trajectories.

[BibT_eX]

[DOI]

Simon Osindero

Proceedings of the Machine Learning, 2006

Learning and Incorporating Top-Down Cues in Image Segmentation.

[BibT_eX]

[DOI]

Debajyoti Ray

Proceedings of the Computer Vision, 2006

Automated Detection of Unusual Events on Stairs.

[BibT_eX]

[DOI]

Proceedings of the Third Canadian Conference on Computer and Robot Vision (CRV 2006), 2006

2005

Unsupervised Learning with Non-Ignorable Missing Data.

[BibT_eX]

[DOI]

Sam T. Roweis

Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004

Probabilistic sequential independent components analysis.

[BibT_eX]

[DOI]

Max Welling

Miguel Á. Carreira-Perpiñán

IEEE Trans. Neural Networks, 2004

Probabilistic Computation in Spiking Populations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Proximity Graphs for Clustering and Manifold Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

The multiple multiplicative factor model for collaborative filtering.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2004

Multiscale Conditional Random Fields for Image Labeling.

[BibT_eX]

[DOI]

Miguel Á. Carreira-Perpiñán

Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

2003

Efficient Parametric Projection Pursuit Density Estimation.

[BibT_eX]

[DOI]

Max Welling

Proceedings of the UAI '03, 2003

Active Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the UAI '03, 2003

An Active Approach to Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003

Cortical Belief Networks.

[BibT_eX]

[DOI]

Proceedings of the Computational Models for Neuroscience, 2003

2002

Self Supervised Boosting.

[BibT_eX]

[DOI]

Max Welling

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Multiple Cause Vector Quantization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001

Localist Attractor Networks.

[BibT_eX]

[DOI]

Neural Comput., 2001

2000

Encoding multiple orientations in a recurrent network.

[BibT_eX]

[DOI]

Jonathan W. Pillow

Neurocomputing, 2000

A Gradient-Based Boosting Algorithm for Regression Problems.

[BibT_eX]

[DOI]

Toniann Pitassi

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

1999

A Generative Model for Attractor Dynamics.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Managing Uncertainty in Cue Combination.

[BibT_eX]

[DOI]

Zhiyong Yang

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

1998

Probabilistic Interpretation of Population Codes.

[BibT_eX]

[DOI]

Alexandre Pouget

Neural Comput., 1998

Distributional Population Codes and Multiple Motion Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

1997

Combining Probabilistic Population Codes.

[BibT_eX]

[DOI]

Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

1996

Selective Integration: A Model for Disparity Estimation.

[BibT_eX]

[DOI]

Terrence J. Sejnowski

Proceedings of the Advances in Neural Information Processing Systems 9, 1996

1995

Lending direction to neural networks.

[BibT_eX]

[DOI]

Christopher K. I. Williams

Neural Networks, 1995

Learning Population Codes by Minimizing Description Length.

[BibT_eX]

[DOI]

Neural Comput., 1995

Competition and Multiple Cause Models.

[BibT_eX]

[DOI]

Neural Comput., 1995

The Helmholtz machine.

[BibT_eX]

[DOI]

Neural Comput., 1995

1994

A minimum description length framework for unsupervised learning.

[BibT_eX]

[DOI]

PhD thesis, 1994

Grouping Components of Three-Dimensional Moving Objects in Area MST of Visual Cortex.

[BibT_eX]

[DOI]

Terrence J. Sejnowski

Proceedings of the Advances in Neural Information Processing Systems 7, 1994

1993

Developing Population Codes by Minimizing Description Length.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 6, 1993

Autoencoders, Minimum Description Length and Helmholtz Free Energy.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 6, 1993

1992

Learning to Segment Images Using Dynamic Feature Binding.

[BibT_eX]

[DOI]

Michael C. Mozer

Christopher K. I. Williams

Marlene Behrmann

Neural Comput., 1992

Directional-Unit Boltzmann Machines.

[BibT_eX]

[DOI]

Christopher K. I. Williams

Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

1991

Learning to Segment Images Using Dynamic Feature Binding.

[BibT_eX]

[DOI]

Marlene Behrmann

Proceedings of the Advances in Neural Information Processing Systems 4, 1991

1990

Discovering Viewpoint-Invariant Relationships That Characterize Objects.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 3, 1990

1989

TRAFFIC: Recognizing Objects Using Hierarchical Reference Frame Transformations.

[BibT_eX]

[DOI]