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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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'25

Papers (including subtopics)

Guaranteed Sparse Recovery under Linear Transformation ICML 2013
Simple Sparsification Improves Sparse Denoising Autoencoders in Denoising Highly Corrupted Images ICML 2013
Infinite Positive Semidefinite Tensor Factorization for Source Separation of Mixture Signals ICML 2013
Sharp Generalization Error Bounds for Randomly-projected Classifiers ICML 2013
LDA Topic Model with Soft Assignment of Descriptors to Words ICML 2013
On autoencoder scoring ICML 2013
Learning the Structure of Sum-Product Networks ICML 2013
Regularization of Neural Networks using DropConnect ICML 2013
A non-IID Framework for Collaborative Filtering with Restricted Boltzmann Machines ICML 2013
Deep Canonical Correlation Analysis ICML 2013
Maxout Networks ICML 2013
Deep learning with COTS HPC systems ICML 2013
Fast algorithms for sparse principal component analysis based on Rayleigh quotient iteration ICML 2013
Global Analytic Solution of Fully-observed Variational Bayesian Matrix Factorization JMLR 2013
Bayesian Canonical Correlation Analysis JMLR 2013
Sparse Activity and Sparse Connectivity in Supervised Learning JMLR 2013
GPstuff: Bayesian Modeling with Gaussian Processes JMLR 2013
Stochastic Variational Inference JMLR 2013
Deep Learning for Detecting Robotic Grasps RSS 2013
Truncation-free Online Variational Inference for Bayesian Nonparametric Models NIPS 2012
Learning Image Descriptors with the Boosting-Trick NIPS 2012
Topic-Partitioned Multinetwork Embeddings NIPS 2012
Proximal Newton-type methods for convex optimization NIPS 2012
Learning visual motion in recurrent neural networks NIPS 2012
Learning Invariant Representations of Molecules for Atomization Energy Prediction NIPS 2012