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Neural Networks

11,723 papers

Papers per year

25
148
1385
860
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Papers

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
Learning Stochastic Feedforward Neural Networks NIPS 2013
Learning word embeddings efficiently with noise-contrastive estimation NIPS 2013
Firing rate predictions in optimal balanced networks NIPS 2013
Noise-Enhanced Associative Memories NIPS 2013
Deep Neural Networks for Object Detection NIPS 2013
Learning Parts-based Representations with Nonnegative Restricted Boltzmann Machine ACML 2013
Locally-Linear Learning Machines (L3M) ACML 2013