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Deep Learning

66,648 papers (25 classified directly here)

Subtopics

Learning Types (28,663) Architectures (27,448) Models (16,617) Techniques (8,241) Optimization & Theory (6,829) Application Areas (46)

Papers per year

2
65
428
6150
10854
'05
'10
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'25

Papers (including subtopics)

Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance NIPS 2008
Supervised Dictionary Learning NIPS 2008
Natural Image Denoising with Convolutional Networks NIPS 2008
Using matrices to model symbolic relationship NIPS 2008
Bio-inspired Real Time Sensory Map Realignment in a Robotic Barn Owl NIPS 2008
Spectral Hashing NIPS 2008
Sparse probabilistic projections NIPS 2008
Implicit Mixtures of Restricted Boltzmann Machines NIPS 2008
Self-organization using synaptic plasticity NIPS 2008
Variational Mixture of Gaussian Process Experts NIPS 2008
Maximal Causes for Non-linear Component Extraction JMLR 2008
Incremental Identification of Qualitative Models of Biological Systems using Inductive Logic Programming JMLR 2008
Manifold Learning: The Price of Normalization JMLR 2008
Random Features for Large-Scale Kernel Machines NIPS 2007
Simulated Annealing: Rigorous finite-time guarantees for optimization on continuous domains NIPS 2007
Loop Series and Bethe Variational Bounds in Attractive Graphical Models NIPS 2007
Neural characterization in partially observed populations of spiking neurons NIPS 2007
Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks NIPS 2007
Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes NIPS 2007
Kernels on Attributed Pointsets with Applications NIPS 2007
Sparse deep belief net model for visual area V2 NIPS 2007
A configurable analog VLSI neural network with spiking neurons and self-regulating plastic synapses NIPS 2007
Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion NIPS 2007
Incremental Natural Actor-Critic Algorithms NIPS 2007
The Infinite Gamma-Poisson Feature Model NIPS 2007