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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)

Multimodal Learning with Deep Boltzmann Machines NIPS 2012
A Neural Autoregressive Topic Model NIPS 2012
Clustering by Nonnegative Matrix Factorization Using Graph Random Walk NIPS 2012
Distributed Probabilistic Learning for Camera Networks with Missing Data NIPS 2012
Locally Uniform Comparison Image Descriptor NIPS 2012
Priors for Diversity in Generative Latent Variable Models NIPS 2012
ImageNet Classification with Deep Convolutional Neural Networks NIPS 2012
Stochastic Gradient Descent with Only One Projection NIPS 2012
Sketch-Based Linear Value Function Approximation NIPS 2012
Multiplicative Forests for Continuous-Time Processes NIPS 2012
Variational Inference for Crowdsourcing NIPS 2012
Why MCA? Nonlinear sparse coding with spike-and-slab prior for neurally plausible image encoding NIPS 2012
Multiple Choice Learning: Learning to Produce Multiple Structured Outputs NIPS 2012
Learning to Align from Scratch NIPS 2012
Bayesian Warped Gaussian Processes NIPS 2012
Affine Independent Variational Inference NIPS 2012
Random function priors for exchangeable arrays with applications to graphs and relational data NIPS 2012
Waveform Driven Plasticity in BiFeO3 Memristive Devices: Model and Implementation NIPS 2012
Calibrated Elastic Regularization in Matrix Completion NIPS 2012
Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression NIPS 2012
Learning the Architecture of Sum-Product Networks Using Clustering on Variables NIPS 2012
Angular Quantization-based Binary Codes for Fast Similarity Search NIPS 2012
Synchronization can Control Regularization in Neural Systems via Correlated Noise Processes NIPS 2012
A Note on Metric Properties for Some Divergence Measures: The Gaussian Case ACML 2012
Cumulative Restricted Boltzmann Machines for Ordinal Matrix Data Analysis ACML 2012