Richard S. Zemel

According to our database1, Richard S. Zemel authored at least 151 papers between 1989 and 2018.

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Bibliography

2018
Incremental Few-Shot Learning with Attention Attractor Networks.
CoRR, 2018

Understanding the Origins of Bias in Word Embeddings.
CoRR, 2018

Neural Guided Constraint Logic Programming for Program Synthesis.
CoRR, 2018

Fairness Through Causal Awareness: Learning Latent-Variable Models for Biased Data.
CoRR, 2018

The Elephant in the Room.
CoRR, 2018

Adversarial Distillation of Bayesian Neural Network Posteriors.
CoRR, 2018

Aggregated Momentum: Stability Through Passive Damping.
CoRR, 2018

Inference in Probabilistic Graphical Models by Graph Neural Networks.
CoRR, 2018

Reviving and Improving Recurrent Back-Propagation.
CoRR, 2018

Graph Partition Neural Networks for Semi-Supervised Classification.
CoRR, 2018

Meta-Learning for Semi-Supervised Few-Shot Classification.
CoRR, 2018

Learning Adversarially Fair and Transferable Representations.
CoRR, 2018

Neural Relational Inference for Interacting Systems.
CoRR, 2018

Adversarial Distillation of Bayesian Neural Network Posteriors.
Proceedings of the 35th International Conference on Machine Learning, 2018

Learning Adversarially Fair and Transferable Representations.
Proceedings of the 35th International Conference on Machine Learning, 2018

Reviving and Improving Recurrent Back-Propagation.
Proceedings of the 35th International Conference on Machine Learning, 2018

Neural Relational Inference for Interacting Systems.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Predict Responsibly: Increasing Fairness by Learning To Defer.
CoRR, 2017

Few-Shot Learning Through an Information Retrieval Lens.
CoRR, 2017

Prototypical Networks for Few-shot Learning.
CoRR, 2017

Understanding the Effective Receptive Field in Deep Convolutional Neural Networks.
CoRR, 2017

Causal Effect Inference with Deep Latent-Variable Models.
CoRR, 2017

Dualing GANs.
CoRR, 2017

Stochastic Segmentation Trees for Multiple Ground Truths.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Few-Shot Learning Through an Information Retrieval Lens.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Prototypical Networks for Few-shot Learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Causal Effect Inference with Deep Latent-Variable Models.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Dualing GANs.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Deep Spectral Clustering Learning.
Proceedings of the 34th International Conference on Machine Learning, 2017

Learning to generate images with perceptual similarity metrics.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

End-to-End Instance Segmentation with Recurrent Attention.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Efficient Multiple Instance Metric Learning Using Weakly Supervised Data.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
End-to-End Instance Segmentation and Counting with Recurrent Attention.
CoRR, 2016

Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes.
CoRR, 2016

Towards Generalizable Sentence Embeddings.
Proceedings of the 1st Workshop on Representation Learning for NLP, 2016

Understanding the Effective Receptive Field in Deep Convolutional Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Learning Deep Parsimonious Representations.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Training Deep Neural Networks via Direct Loss Minimization.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Learning to generate images and their descriptions (keynote).
Proceedings of the 18th ACM International Conference on Multimodal Interaction, 2016

2015
Guest Editors' Introduction: Special Section on Higher Order Graphical Models in Computer Vision.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

A Neural Autoregressive Approach to Attention-based Recognition.
International Journal of Computer Vision, 2015

Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books.
CoRR, 2015

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention.
CoRR, 2015

Direct Loss Minimization for Training Deep Neural Nets.
CoRR, 2015

Learning to generate images with perceptual similarity metrics.
CoRR, 2015

Image Question Answering: A Visual Semantic Embedding Model and a New Dataset.
CoRR, 2015

The Variational Fair Autoencoder.
CoRR, 2015

Gated Graph Sequence Neural Networks.
CoRR, 2015

Generative Moment Matching Networks.
CoRR, 2015

Skip-Thought Vectors.
CoRR, 2015

Exploring Models and Data for Image Question Answering.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Skip-Thought Vectors.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Generative Moment Matching Networks.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
New learning methods for supervised and unsupervised preference aggregation.
Journal of Machine Learning Research, 2014

Input Warping for Bayesian Optimization of Non-stationary Functions.
CoRR, 2014

Mean-Field Networks.
CoRR, 2014

Learning unbiased features.
CoRR, 2014

A Multiplicative Model for Learning Distributed Text-Based Attribute Representations.
CoRR, 2014

Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models.
CoRR, 2014

A Multiplicative Model for Learning Distributed Text-Based Attribute Representations.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Leveraging user libraries to bootstrap collaborative filtering.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Input Warping for Bayesian Optimization of Non-Stationary Functions.
Proceedings of the 31th International Conference on Machine Learning, 2014

High Order Regularization for Semi-Supervised Learning of Structured Output Problems.
Proceedings of the 31th International Conference on Machine Learning, 2014

Multimodal Neural Language Models.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
A Determinantal Point Process Latent Variable Model for Inhibition in Neural Spiking Data.
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

On the Expressive Power of Restricted Boltzmann Machines.
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.
Proceedings of the 30th International Conference on Machine Learning, 2013

Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning.
Proceedings of the 30th International Conference on Machine Learning, 2013

Exploring Compositional High Order Pattern Potentials for Structured Output Learning.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

CRF framework for supervised preference aggregation.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
Structured Output Learning with High Order Loss Functions.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Randomized Optimum Models for Structured Prediction.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Efficient Parametric Projection Pursuit Density Estimation
CoRR, 2012

Active Collaborative Filtering
CoRR, 2012

Fast Exact Inference for Recursive Cardinality Models
CoRR, 2012

Collaborative Filtering and the Missing at Random Assumption
CoRR, 2012

Active Learning for Matching Problems
CoRR, 2012

Flexible Priors for Exemplar-based Clustering
CoRR, 2012

A Framework for Optimizing Paper Matching
CoRR, 2012

A flexible generative model for preference aggregation.
Proceedings of the 21st World Wide Web Conference 2012, 2012

Fast Exact Inference for Recursive Cardinality Models.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Collaborative Ranking With 17 Parameters.
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.
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.
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.
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.
Proceedings of the Innovations in Theoretical Computer Science 2012, 2012

Active Learning for Matching Problems.
Proceedings of the 29th International Conference on Machine Learning, 2012

Learning to rank by aggregating expert preferences.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Loss-sensitive Training of Probabilistic Conditional Random Fields
CoRR, 2011

Ranking via Sinkhorn Propagation
CoRR, 2011

Interpreting Graph Cuts as a Max-Product Algorithm
CoRR, 2011

Fairness Through Awareness
CoRR, 2011

Graph Cuts is a Max-Product Algorithm.
Proceedings of the UAI 2011, 2011

A Framework for Optimizing Paper Matching.
Proceedings of the UAI 2011, 2011

Recommender Systems, Missing Data and Statistical Model Estimation.
Proceedings of the IJCAI 2011, 2011

2010
Comparing Classification Methods for Longitudinal fMRI Studies.
Neural Computation, 2010

HOP-MAP: Efficient Message Passing with High Order Potentials.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Learning Articulated Structure and Motion.
International Journal of Computer Vision, 2010

2009
Automated detection of unusual events on stairs.
Image Vision Comput., 2009

Collaborative prediction and ranking with non-random missing data.
Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

BoltzRank: learning to maximize expected ranking gain.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008
Learning Flexible Features for Conditional Random Fields.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

Encoding and Decoding Spikes for Dynamic Stimuli.
Neural Computation, 2008

Population Coding with Motion Energy Filters: The Impact of Correlations.
Neural Computation, 2008

Flexible Priors for Exemplar-based Clustering.
Proceedings of the UAI 2008, 2008

Generative versus discriminative training of RBMs for classification of fMRI images.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Characterizing response behavior in multisensory perception with conflicting cues.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Learning Hybrid Models for Image Annotation with Partially Labeled Data.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Unsupervised Learning of Skeletons from Motion.
Proceedings of the Computer Vision, 2008

Learning stick-figure models using nonparametric Bayesian priors over trees.
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.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Fast Population Coding.
Neural Computation, 2007

Collaborative Filtering and the Missing at Random Assumption.
Proceedings of the UAI 2007, 2007

2006
Learning Parts-Based Representations of Data.
Journal of Machine Learning Research, 2006

Topological map learning from outdoor image sequences.
J. Field Robotics, 2006

Combining discriminative features to infer complex trajectories.
Proceedings of the Machine Learning, 2006

Learning and Incorporating Top-Down Cues in Image Segmentation.
Proceedings of the Computer Vision, 2006

Automated Detection of Unusual Events on Stairs.
Proceedings of the Third Canadian Conference on Computer and Robot Vision (CRV 2006), 2006

2005
Unsupervised Learning with Non-Ignorable Missing Data.
Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004
Probabilistic sequential independent components analysis.
IEEE Trans. Neural Networks, 2004

Probabilistic Computation in Spiking Populations.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Proximity Graphs for Clustering and Manifold Learning.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

The multiple multiplicative factor model for collaborative filtering.
Proceedings of the Machine Learning, 2004

Multiscale Conditional Random Fields for Image Labeling.
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.
Proceedings of the UAI '03, 2003

Active Collaborative Filtering.
Proceedings of the UAI '03, 2003

An Active Approach to Collaborative Filtering.
Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003

2002
Self Supervised Boosting.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Multiple Cause Vector Quantization.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001
Localist Attractor Networks.
Neural Computation, 2001

2000
Encoding multiple orientations in a recurrent network.
Neurocomputing, 2000

A Gradient-Based Boosting Algorithm for Regression Problems.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

1999
A Generative Model for Attractor Dynamics.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

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

1998
Probabilistic Interpretation of Population Codes.
Neural Computation, 1998

Distributional Population Codes and Multiple Motion Models.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

1997
Combining Probabilistic Population Codes.
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

1996
Probabilistic Interpretation of Population Codes.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

Selective Integration: A Model for Disparity Estimation.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

1995
Lending direction to neural networks.
Neural Networks, 1995

The Helmholtz machine.
Neural Computation, 1995

1994
Grouping Components of Three-Dimensional Moving Objects in Area MST of Visual Cortex.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994

1993
Developing Population Codes by Minimizing Description Length.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993

Autoencoders, Minimum Description Length and Helmholtz Free Energy.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993

1992
Learning to Segment Images Using Dynamic Feature Binding.
Neural Computation, 1992

Directional-Unit Boltzmann Machines.
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.
Proceedings of the Advances in Neural Information Processing Systems 4, 1991

1990
Discovering Viewpoint-Invariant Relationships That Characterize Objects.
Proceedings of the Advances in Neural Information Processing Systems 3, 1990

1989
TRAFFIC: Recognizing Objects Using Hierarchical Reference Frame Transformations.
Proceedings of the Advances in Neural Information Processing Systems 2, 1989


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