NIPS Proceedings
β
Books
Richard S. Zemel
24 Papers
Cardinality Restricted Boltzmann Machines
(2012)
Collaborative Ranking With 17 Parameters
(2012)
Efficient Sampling for Bipartite Matching Problems
(2012)
Probabilistic n-Choose-k Models for Classification and Ranking
(2012)
Characterizing response behavior in multisensory perception with conflicting cues
(2008)
Generative versus discriminative training of RBMs for classification of fMRI images
(2008)
Learning Hybrid Models for Image Annotation with Partially Labeled Data
(2008)
Probabilistic Computation in Spiking Populations
(2004)
Proximity Graphs for Clustering and Manifold Learning
(2004)
Multiple Cause Vector Quantization
(2002)
Self Supervised Boosting
(2002)
A Gradient-Based Boosting Algorithm for Regression Problems
(2000)
A Generative Model for Attractor Dynamics
(1999)
Managing Uncertainty in Cue Combination
(1999)
Distributional Population Codes and Multiple Motion Models
(1998)
Probabilistic Interpretation of Population Codes
(1996)
Selective Integration: A Model for Disparity Estimation
(1996)
Grouping Components of Three-Dimensional Moving Objects in Area MST of Visual Cortex
(1994)
Autoencoders, Minimum Description Length and Helmholtz Free Energy
(1993)
Developing Population Codes by Minimizing Description Length
(1993)
Directional-Unit Boltzmann Machines
(1992)
Learning to Segment Images Using Dynamic Feature Binding
(1991)
Discovering Viewpoint-Invariant Relationships That Characterize Objects
(1990)
TRAFFIC: Recognizing Objects Using Hierarchical Reference Frame Transformations
(1989)
2 Books
Advances in Neural Information Processing Systems 24
(2011)
Advances in Neural Information Processing Systems 23
(2010)