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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)

Particle-based Variational Inference for Continuous Systems NIPS 2009
A Neural Implementation of the Kalman Filter NIPS 2009
3D Object Recognition with Deep Belief Nets NIPS 2009
Polynomial Semantic Indexing NIPS 2009
A Gaussian Tree Approximation for Integer Least-Squares NIPS 2009
Periodic Step Size Adaptation for Single Pass On-line Learning NIPS 2009
Posterior vs Parameter Sparsity in Latent Variable Models NIPS 2009
Unsupervised feature learning for audio classification using convolutional deep belief networks NIPS 2009
STDP enables spiking neurons to detect hidden causes of their inputs NIPS 2009
Evaluating multi-class learning strategies in a generative hierarchical framework for object detection NIPS 2009
Slow Learners are Fast NIPS 2009
Learning in Markov Random Fields using Tempered Transitions NIPS 2009
Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing NIPS 2009
Variational Inference for the Nested Chinese Restaurant Process NIPS 2009
Learning from Neighboring Strokes: Combining Appearance and Context for Multi-Domain Sketch Recognition NIPS 2009
Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations NIPS 2009
On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation NIPS 2009
Learning a Small Mixture of Trees NIPS 2009
Conditional Neural Fields NIPS 2009
Parallel Inference for Latent Dirichlet Allocation on Graphics Processing Units NIPS 2009
Exploring Strategies for Training Deep Neural Networks JMLR 2009
NEUROSVM: An Architecture to Reduce the Effect of the Choice of Kernel on the Performance of SVM JMLR 2009
Translated Learning: Transfer Learning across Different Feature Spaces NIPS 2008
Hebbian Learning of Bayes Optimal Decisions NIPS 2008
Evaluating probabilities under high-dimensional latent variable models NIPS 2008