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← Topics

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
'15
'20
'25

Papers (including subtopics)

Analysis of Representations for Domain Adaptation NIPS 2006
Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons NIPS 2006
Similarity by Composition NIPS 2006
Prediction on a Graph with a Perceptron NIPS 2006
Fast Discriminative Visual Codebooks using Randomized Clustering Forests NIPS 2006
Learning on Graph with Laplacian Regularization NIPS 2006
Learning with Hypergraphs: Clustering, Classification, and Embedding NIPS 2006
Learning Dense 3D Correspondence NIPS 2006
Fast Computation of Graph Kernels NIPS 2006
Emergence of conjunctive visual features by quadratic independent component analysis NIPS 2006
Stochastic Complexities of Gaussian Mixtures in Variational Bayesian Approximation JMLR 2006
Learning Image Components for Object Recognition JMLR 2006
Learning Parts-Based Representations of Data JMLR 2006
Denoising Source Separation JMLR 2005
Variational Message Passing JMLR 2005
Probability Product Kernels JMLR 2004
Matching Words and Pictures JMLR 2003
A Neural Probabilistic Language Model JMLR 2003
MLPs (Mono-Layer Polynomials and Multi-Layer Perceptrons) for Nonlinear Modeling JMLR 2003
The Principled Design of Large-Scale Recursive Neural Network Architectures--DAG-RNNs and the Protein Structure Prediction Problem JMLR 2003
Energy-Based Models for Sparse Overcomplete Representations JMLR 2003
Shallow Parsing using Specialized HMMs JMLR 2002
Learning Precise Timing with LSTM Recurrent Networks JMLR 2002