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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
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Papers (including subtopics)

Generative Kernels for Exponential Families AISTATS 2011
Deep Learners Benefit More from Out-of-Distribution Examples AISTATS 2011
An Analysis of Single-Layer Networks in Unsupervised Feature Learning AISTATS 2011
Deep Learning for Efficient Discriminative Parsing AISTATS 2011
A Spike and Slab Restricted Boltzmann Machine AISTATS 2011
Deep Sparse Rectifier Neural Networks AISTATS 2011
Robust Bayesian Matrix Factorisation AISTATS 2011
Learning Class-relevant Features and Class-irrelevant Features via a Hybrid third-order RBM AISTATS 2011
Online Variational Inference for the Hierarchical Dirichlet Process AISTATS 2011
Multi-Label Output Codes using Canonical Correlation Analysis AISTATS 2011
Two-Layer Multiple Kernel Learning AISTATS 2011
Approximate Marginals in Latent Gaussian Models JMLR 2011
Two Distributed-State Models For Generating High-Dimensional Time Series JMLR 2011
Natural Language Processing (Almost) from Scratch JMLR 2011
Weisfeiler-Lehman Graph Kernels JMLR 2011
Kernel Analysis of Deep Networks JMLR 2011
In All Likelihood, Deep Belief Is Not Enough JMLR 2011
Generative Local Metric Learning for Nearest Neighbor Classification NIPS 2010
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
Boosting Classifier Cascades NIPS 2010
Inferring Stimulus Selectivity from the Spatial Structure of Neural Network Dynamics NIPS 2010
Empirical Risk Minimization with Approximations of Probabilistic Grammars NIPS 2010