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Neural Networks

11,705 papers

Papers per year

25
148
1385
858
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Papers

Fast Sampling-Based Inference in Balanced Neuronal Networks NIPS 2014
Articulated Pose Estimation by a Graphical Model with Image Dependent Pairwise Relations NIPS 2014
Convolutional Kernel Networks NIPS 2014
Unsupervised learning of an efficient short-term memory network NIPS 2014
Pre-training of Recurrent Neural Networks via Linear Autoencoders NIPS 2014
General Stochastic Networks for Classification NIPS 2014
Learning with Pseudo-Ensembles NIPS 2014
Analog Memories in a Balanced Rate-Based Network of E-I Neurons NIPS 2014
Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation NIPS 2014
Recursive Context Propagation Network for Semantic Scene Labeling NIPS 2014
Global Belief Recursive Neural Networks NIPS 2014
Convolutional Neural Network Architectures for Matching Natural Language Sentences NIPS 2014
Modeling Deep Temporal Dependencies with Recurrent Grammar Cells"" NIPS 2014
Do Deep Nets Really Need to be Deep? NIPS 2014
A framework for studying synaptic plasticity with neural spike train data NIPS 2014
Self-Adaptable Templates for Feature Coding NIPS 2014
Expectation Backpropagation: Parameter-Free Training of Multilayer Neural Networks with Continuous or Discrete Weights NIPS 2014
Deep Recursive Neural Networks for Compositionality in Language NIPS 2014
Attentional Neural Network: Feature Selection Using Cognitive Feedback NIPS 2014
On the Number of Linear Regions of Deep Neural Networks NIPS 2014
Nonlinear Dimensionality Reduction of Data by Deep Distributed Random Samplings ACML 2014
Avoiding pathologies in very deep networks AISTATS 2014
To go deep or wide in learning? AISTATS 2014
Neural Decision Forests for Semantic Image Labelling CVPR 2014
DeepReID: Deep Filter Pairing Neural Network for Person Re-Identification CVPR 2014