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Architectures

27,448 papers (33 classified directly here)

Subtopics

Neural Networks (11,723) Transformers (10,397) Graph Neural Networks (4,522) Autoencoders (1,154) Convolutional Neural Networks (973) Recurrent Neural Networks (593) Generative Adversarial Networks (18) Encoder-Decoder (14)

Papers per year

27
213
2915
3174
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Papers (including subtopics)

Weisfeiler-Lehman Graph Kernels 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
Structured Determinantal Point Processes NIPS 2010
Phoneme Recognition with Large Hierarchical Reservoirs NIPS 2010
Over-complete representations on recurrent neural networks can support persistent percepts NIPS 2010
Learning to localise sounds with spiking neural networks NIPS 2010
Learning to combine foveal glimpses with a third-order Boltzmann machine NIPS 2010
A Log-Domain Implementation of the Diffusion Network in Very Large Scale Integration NIPS 2010
SpikeAnts, a spiking neuron network modelling the emergence of organization in a complex system NIPS 2010
Attractor Dynamics with Synaptic Depression NIPS 2010
Layer-wise analysis of deep networks with Gaussian kernels NIPS 2010
A biologically plausible network for the computation of orientation dominance NIPS 2010
Learning Convolutional Feature Hierarchies for Visual Recognition NIPS 2010
An analysis on negative curvature induced by singularity in multi-layer neural-network learning NIPS 2010
Phone Recognition with the Mean-Covariance Restricted Boltzmann Machine NIPS 2010
Hallucinations in Charles Bonnet Syndrome Induced by Homeostasis: a Deep Boltzmann Machine Model NIPS 2010
Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines AISTATS 2010
Neural conditional random fields AISTATS 2010
Inductive Principles for Restricted Boltzmann Machine Learning AISTATS 2010