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Neural Networks

11,705 papers

Papers per year

25
148
1385
858
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Papers

Algorithms for Hyper-Parameter Optimization NIPS 2011
Shallow vs. Deep Sum-Product Networks NIPS 2011
Select and Sample - A Model of Efficient Neural Inference and Learning NIPS 2011
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials NIPS 2011
Active dendrites: adaptation to spike-based communication NIPS 2011
Facial Expression Transfer with Input-Output Temporal Restricted Boltzmann Machines NIPS 2011
Structured sparse coding via lateral inhibition NIPS 2011
Mixed-Variate Restricted Boltzmann Machines ACML 2011
Robust Generation of Dynamical Patterns in Human Motion by a Deep Belief Nets ACML 2011
The Neural Autoregressive Distribution Estimator AISTATS 2011
Deep Learners Benefit More from Out-of-Distribution Examples AISTATS 2011
A Spike and Slab Restricted Boltzmann Machine AISTATS 2011
Deep Sparse Rectifier Neural Networks AISTATS 2011
Learning Class-relevant Features and Class-irrelevant Features via a Hybrid third-order RBM AISTATS 2011
Two-Layer Multiple Kernel Learning AISTATS 2011
Two Distributed-State Models For Generating High-Dimensional Time Series JMLR 2011
Natural Language Processing (Almost) from Scratch JMLR 2011
Kernel Analysis of Deep Networks JMLR 2011
In All Likelihood, Deep Belief Is Not Enough JMLR 2011
On Herding and the Perceptron Cycling Theorem NIPS 2010
Tiled convolutional neural networks NIPS 2010
Deep Coding Network NIPS 2010
Short-term memory in neuronal networks through dynamical compressed sensing NIPS 2010
Inferring Stimulus Selectivity from the Spatial Structure of Neural Network Dynamics NIPS 2010
Phoneme Recognition with Large Hierarchical Reservoirs NIPS 2010