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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)

LSTD with Random Projections NIPS 2010
An analysis on negative curvature induced by singularity in multi-layer neural-network learning NIPS 2010
Joint Cascade Optimization Using A Product Of Boosted Classifiers NIPS 2010
Parallelized Stochastic Gradient Descent NIPS 2010
Approximate Inference by Compilation to Arithmetic Circuits NIPS 2010
Phone Recognition with the Mean-Covariance Restricted Boltzmann Machine NIPS 2010
Variational Inference over Combinatorial Spaces NIPS 2010
Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development NIPS 2010
Hallucinations in Charles Bonnet Syndrome Induced by Homeostasis: a Deep Boltzmann Machine Model NIPS 2010
Pose-Sensitive Embedding by Nonlinear NCA Regression NIPS 2010
Active Learning Applied to Patient-Adaptive Heartbeat Classification NIPS 2010
A Primal-Dual Message-Passing Algorithm for Approximated Large Scale Structured Prediction NIPS 2010
Divisive Normalization: Justification and Effectiveness as Efficient Coding Transform NIPS 2010
Multi-label Multiple Kernel Learning by Stochastic Approximation: Application to Visual Object Recognition NIPS 2010
Learning with Blocks: Composite Likelihood and Contrastive Divergence AISTATS 2010
Improving posterior marginal approximations in latent Gaussian models AISTATS 2010
Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines AISTATS 2010
Nonparametric Bayesian Matrix Factorization by Power-EP AISTATS 2010
Neural conditional random fields AISTATS 2010
Understanding the difficulty of training deep feedforward neural networks AISTATS 2010
Coherent Inference on Optimal Play in Game Trees AISTATS 2010
Inductive Principles for Restricted Boltzmann Machine Learning AISTATS 2010
REGO: Rank-based Estimation of Renyi Information using Euclidean Graph Optimization AISTATS 2010
Factored 3-Way Restricted Boltzmann Machines For Modeling Natural Images AISTATS 2010
Efficient Learning of Deep Boltzmann Machines AISTATS 2010