NIPS Proceedingsβ

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)