← Architectures
Deep Learning › Architectures ›

Neural Networks

11300 directly classified papers

Papers per year

Papers

Subspace-Based Face Recognition in Analog VLSI NIPS 2007
Learning to classify complex patterns using a VLSI network of spiking neurons NIPS 2007
Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons NIPS 2007
Contraction Properties of VLSI Cooperative Competitive Neural Networks of Spiking Neurons NIPS 2007
An Analysis of Inference with the Universum NIPS 2007
Support Vector Machine Classification with Indefinite Kernels NIPS 2007
Sparse Feature Learning for Deep Belief Networks NIPS 2007
A configurable analog VLSI neural network with spiking neurons and self-regulating plastic synapses NIPS 2007
An in-silico Neural Model of Dynamic Routing through Neuronal Coherence NIPS 2007
Temporal Coding using the Response Properties of Spiking Neurons NIPS 2006
Prediction on a Graph with a Perceptron NIPS 2006
Attentional Processing on a Spike-Based VLSI Neural Network NIPS 2006
A selective attention multi--chip system with dynamic synapses and spiking neurons NIPS 2006
Modeling Human Motion Using Binary Latent Variables NIPS 2006
Context dependent amplification of both rate and event-correlation in a VLSI network of spiking neurons NIPS 2006
Greedy Layer-Wise Training of Deep Networks NIPS 2006
The Neurodynamics of Belief Propagation on Binary Markov Random Fields NIPS 2006
Recursive ICA NIPS 2006
Towards a general independent subspace analysis NIPS 2006
A Scalable Machine Learning Approach to Go NIPS 2006
A Neural Probabilistic Language Model JMLR 2003
MLPs (Mono-Layer Polynomials and Multi-Layer Perceptrons) for Nonlinear Modeling JMLR 2003
The Principled Design of Large-Scale Recursive Neural Network Architectures--DAG-RNNs and the Protein Structure Prediction Problem JMLR 2003
Shallow Parsing using Specialized HMMs JMLR 2002
Learning Precise Timing with LSTM Recurrent Networks JMLR 2002