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Neural Networks

11300 directly classified papers

Papers per year

Papers

Adaptive dropout for training deep neural networks NIPS 2013
Compete to Compute NIPS 2013
On the Representational Efficiency of Restricted Boltzmann Machines NIPS 2013
Predicting Parameters in Deep Learning NIPS 2013
A Deep Architecture for Matching Short Texts 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
Locally-Linear Learning Machines (L3M) ACML 2013
Distributed Representations of Words and Phrases and their Compositionality NIPS 2013
ImageNet Classification with Deep Convolutional Neural Networks NIPS 2012
A Hybrid Neural Network-Latent Topic Model AISTATS 2012
Learning the Architecture of Sum-Product Networks Using Clustering on Variables NIPS 2012
Multiresolution Deep Belief Networks AISTATS 2012
Efficient Spike-Coding with Multiplicative Adaptation in a Spike Response Model NIPS 2012
Learning visual motion in recurrent neural networks NIPS 2012
Deep Boltzmann Machines as Feed-Forward Hierarchies AISTATS 2012
Deep Learning of Invariant Features via Simulated Fixations in Video NIPS 2012
Deep Representations and Codes for Image Auto-Annotation NIPS 2012
Convolutional-Recursive Deep Learning for 3D Object Classification NIPS 2012
Deep Neural Networks Segment Neuronal Membranes in Electron Microscopy Images NIPS 2012
Large Scale Distributed Deep Networks NIPS 2012
A dynamic excitatory-inhibitory network in a VLSI chip for spiking information reregistrations NIPS 2012
Analog readout for optical reservoir computers NIPS 2012
A Better Way to Pretrain Deep Boltzmann Machines NIPS 2012
Deep Spatio-Temporal Architectures and Learning for Protein Structure Prediction NIPS 2012