NIPS Proceedings^β

Geoffrey E. Hinton

55 Papers

A Better Way to Pretrain Deep Boltzmann Machines (2012)

ImageNet Classification with Deep Convolutional Neural Networks (2012)

Gated Softmax Classification (2010)

Generating more realistic images using gated MRF's (2010)

Learning to combine foveal glimpses with a third-order Boltzmann machine (2010)

Phone Recognition with the Mean-Covariance Restricted Boltzmann Machine (2010)

3D Object Recognition with Deep Belief Nets (2009)

Replicated Softmax: an Undirected Topic Model (2009)

Zero-shot Learning with Semantic Output Codes (2009)

A Scalable Hierarchical Distributed Language Model (2008)

Generative versus discriminative training of RBMs for classification of fMRI images (2008)

Implicit Mixtures of Restricted Boltzmann Machines (2008)

The Recurrent Temporal Restricted Boltzmann Machine (2008)

Using matrices to model symbolic relationship (2008)

Modeling image patches with a directed hierarchy of Markov random fields (2007)

Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes (2007)

Modeling Human Motion Using Binary Latent Variables (2006)

Inferring Motor Programs from Images of Handwritten Digits (2005)

Exponential Family Harmoniums with an Application to Information Retrieval (2004)

Multiple Relational Embedding (2004)

Neighbourhood Components Analysis (2004)

Wormholes Improve Contrastive Divergence (2003)

Learning Sparse Topographic Representations with Products of Student-t Distributions (2002)

Self Supervised Boosting (2002)

Stochastic Neighbor Embedding (2002)

Global Coordination of Local Linear Models (2001)

Learning Hierarchical Structures with Linear Relational Embedding (2001)

Relative Density Nets: A New Way to Combine Backpropagation with HMM's (2001)

Rate-coded Restricted Boltzmann Machines for Face Recognition (2000)

Recognizing Hand-written Digits Using Hierarchical Products of Experts (2000)

Using Free Energies to Represent Q-values in a Multiagent Reinforcement Learning Task (2000)

Learning to Parse Images (1999)

Spiking Boltzmann Machines (1999)

Fast Neural Network Emulation of Dynamical Systems for Computer Animation (1998)

SMEM Algorithm for Mixture Models (1998)

Hierarchical Non-linear Factor Analysis and Topographic Maps (1997)

Does the Wake-sleep Algorithm Produce Good Density Estimators? (1995)

Using Pairs of Data-Points to Define Splits for Decision Trees (1995)

An Alternative Model for Mixtures of Experts (1994)

Glove-TalkII: Mapping Hand Gestures to Speech Using Neural Networks (1994)

Recognizing Handwritten Digits Using Mixtures of Linear Models (1994)

Using a neural net to instantiate a deformable model (1994)

Autoencoders, Minimum Description Length and Helmholtz Free Energy (1993)

Developing Population Codes by Minimizing Description Length (1993)

Feudal Reinforcement Learning (1992)

Adaptive Elastic Models for Hand-Printed Character Recognition (1991)

Adaptive Soft Weight Tying using Gaussian Mixtures (1991)

Learning to Make Coherent Predictions in Domains with Discontinuities (1991)

Discovering Viewpoint-Invariant Relationships That Characterize Objects (1990)

Evaluation of Adaptive Mixtures of Competing Experts (1990)

Dimensionality Reduction and Prior Knowledge in E-Set Recognition (1989)

Discovering High Order Features with Mean Field Modules (1989)

TRAFFIC: Recognizing Objects Using Hierarchical Reference Frame Transformations (1989)

GEMINI: Gradient Estimation Through Matrix Inversion After Noise Injection (1988)

Learning Representations by Recirculation (1987)