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Models

16,617 papers (23 classified directly here)

Subtopics

Generative Models (7,221) Diffusion Models (4,421) Large Language Models (2,733) Variational Inference (1,952) Language Models (732) Vision-Language Models (718) Foundation Models (278) Language Modeling (77) Sequence-to-Sequence (16) Variational Autoencoders (10) Neural Radiance Fields (9) Variational Autoencoder (8)

Papers per year

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62
1007
4276
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Papers (including subtopics)

A Generative Model for Parts-based Object Segmentation NIPS 2012
A Better Way to Pretrain Deep Boltzmann Machines NIPS 2012
The variational hierarchical EM algorithm for clustering hidden Markov models NIPS 2012
Truly Nonparametric Online Variational Inference for Hierarchical Dirichlet Processes NIPS 2012
Learning as MAP Inference in Discrete Graphical Models NIPS 2012
Cardinality Restricted Boltzmann Machines NIPS 2012
Training sparse natural image models with a fast Gibbs sampler of an extended state space NIPS 2012
Bayesian Probabilistic Co-Subspace Addition NIPS 2012
Hierarchical spike coding of sound NIPS 2012
Multimodal Learning with Deep Boltzmann Machines NIPS 2012
A Neural Autoregressive Topic Model NIPS 2012
Priors for Diversity in Generative Latent Variable Models 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
Bayesian Warped Gaussian Processes NIPS 2012
Affine Independent Variational Inference 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
Cumulative Restricted Boltzmann Machines for Ordinal Matrix Data Analysis ACML 2012
A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models AISTATS 2012
Multiple Texture Boltzmann Machines AISTATS 2012
Deep Boltzmann Machines as Feed-Forward Hierarchies AISTATS 2012
Learning Algorithms for the Classification Restricted Boltzmann Machine JMLR 2012
Variational Learning for Recurrent Spiking Networks NIPS 2011
Non-conjugate Variational Message Passing for Multinomial and Binary Regression NIPS 2011