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Neural Networks

11,705 papers

Papers per year

25
148
1385
858
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Papers

Multimodal Learning with Deep Boltzmann Machines JMLR 2014
Combining the benefits of function approximation and trajectory optimization RSS 2014
Multi-Prediction Deep Boltzmann Machines NIPS 2013
Learning to Pass Expectation Propagation Messages NIPS 2013
Training and Analysing Deep Recurrent Neural Networks NIPS 2013
Perfect Associative Learning with Spike-Timing-Dependent Plasticity NIPS 2013
Deep Fisher Networks for Large-Scale Image Classification NIPS 2013
Capacity of strong attractor patterns to model behavioural and cognitive prototypes NIPS 2013
RNADE: The real-valued neural autoregressive density-estimator NIPS 2013
Correlations strike back (again): the case of associative memory retrieval NIPS 2013
Supervised Sparse Analysis and Synthesis Operators NIPS 2013
Adaptive dropout for training deep neural networks NIPS 2013
On the Representational Efficiency of Restricted Boltzmann Machines NIPS 2013
Stochastic Ratio Matching of RBMs for Sparse High-Dimensional Inputs NIPS 2013
Predicting Parameters in Deep Learning NIPS 2013
A Deep Architecture for Matching Short Texts NIPS 2013
Compete to Compute NIPS 2013
Top-Down Regularization of Deep Belief Networks NIPS 2013
Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream NIPS 2013
Distributed Representations of Words and Phrases and their Compositionality NIPS 2013
Discriminative Transfer Learning with Tree-based Priors NIPS 2013
Convex Two-Layer Modeling NIPS 2013
Reasoning With Neural Tensor Networks for Knowledge Base Completion NIPS 2013
Deep content-based music recommendation NIPS 2013
Recurrent networks of coupled Winner-Take-All oscillators for solving constraint satisfaction problems NIPS 2013