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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
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Papers (including subtopics)

Doubly Stochastic Variational Bayes for non-Conjugate Inference ICML 2014
Multimodal Learning with Deep Boltzmann Machines JMLR 2014
A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks NIPS 2013
Multi-Prediction Deep Boltzmann Machines NIPS 2013
Integrated Non-Factorized Variational Inference NIPS 2013
Extracting regions of interest from biological images with convolutional sparse block coding NIPS 2013
Stochastic Gradient Riemannian Langevin Dynamics on the Probability Simplex NIPS 2013
Deep Fisher Networks for Large-Scale Image Classification NIPS 2013
RNADE: The real-valued neural autoregressive density-estimator NIPS 2013
Generalized Denoising Auto-Encoders as Generative Models NIPS 2013
Global Solver and Its Efficient Approximation for Variational Bayesian Low-rank Subspace Clustering NIPS 2013
On the Representational Efficiency of Restricted Boltzmann Machines NIPS 2013
A New Convex Relaxation for Tensor Completion NIPS 2013
Relevance Topic Model for Unstructured Social Group Activity Recognition NIPS 2013
Memoized Online Variational Inference for Dirichlet Process Mixture Models NIPS 2013
Learning Stochastic Feedforward Neural Networks NIPS 2013
Probabilistic Principal Geodesic Analysis NIPS 2013
Approximate inference in latent Gaussian-Markov models from continuous time observations NIPS 2013
Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs NIPS 2013
Annealing between distributions by averaging moments NIPS 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
Dense Variational Reconstruction of Non-rigid Surfaces from Monocular Video CVPR 2013
Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling CVPR 2013