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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)

Approximate inference in latent Gaussian-Markov models from continuous time observations NIPS 2013
Deep Neural Networks for Object Detection NIPS 2013
Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs NIPS 2013
Annealing between distributions by averaging moments NIPS 2013
Blind Calibration in Compressed Sensing using Message Passing Algorithms NIPS 2013
Learning Parts-based Representations with Nonnegative Restricted Boltzmann Machine ACML 2013
Coinciding Walk Kernels: Parallel Absorbing Random Walks for Learning with Graphs and Few Labels ACML 2013
Locally-Linear Learning Machines (L3M) ACML 2013
Deep Gaussian Processes AISTATS 2013
Structural Expectation Propagation (SEP): Bayesian structure learning for networks with latent variables AISTATS 2013
Texture Modeling with Convolutional Spike-and-Slab RBMs and Deep Extensions AISTATS 2013
Efficient Learning of Simplices COLT 2013
Dense Variational Reconstruction of Non-rigid Surfaces from Monocular Video CVPR 2013
Separating Signal from Noise Using Patch Recurrence across Scales CVPR 2013
Detection Evolution with Multi-order Contextual Co-occurrence CVPR 2013
POOF: Part-Based One-vs.-One Features for Fine-Grained Categorization, Face Verification, and Attribute Estimation CVPR 2013
Sparse Quantization for Patch Description CVPR 2013
Compressible Motion Fields CVPR 2013
Large-Scale Video Summarization Using Web-Image Priors CVPR 2013
Deformable Graph Matching CVPR 2013
Dictionary Learning from Ambiguously Labeled Data CVPR 2013
Fast Convolutional Sparse Coding CVPR 2013
Part Discovery from Partial Correspondence CVPR 2013
Alternating Decision Forests CVPR 2013
A Convex Regularizer for Reducing Color Artifact in Color Image Recovery CVPR 2013