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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)

Variational Inference for Latent Variables and Uncertain Inputs in Gaussian Processes JMLR 2016
Cells in Multidimensional Recurrent Neural Networks JMLR 2016
How to Center Deep Boltzmann Machines JMLR 2016
Variational Dependent Multi-output Gaussian Process Dynamical Systems JMLR 2016
Universal Approximation Results for the Temporal Restricted Boltzmann Machine and the Recurrent Temporal Restricted Boltzmann Machine JMLR 2016
Augmentable Gamma Belief Networks JMLR 2016
Neural Autoregressive Distribution Estimation JMLR 2016
TensorFlow: A System for Large-Scale Machine Learning OSDI 2016
Online Algorithms for Sum-Product Networks with Continuous Variables PGM 2016
d-VMP: Distributed Variational Message Passing PGM 2016
Dynamic Sum Product Networks for Tractable Inference on Sequence Data PGM 2016
Data Generation as Sequential Decision Making NIPS 2015
Barrier Frank-Wolfe for Marginal Inference NIPS 2015
Local Expectation Gradients for Black Box Variational Inference NIPS 2015
Training Restricted Boltzmann Machine via the Thouless-Anderson-Palmer free energy NIPS 2015
Generative Image Modeling Using Spatial LSTMs NIPS 2015
Kullback-Leibler Proximal Variational Inference NIPS 2015
Automatic Variational Inference in Stan NIPS 2015
The Return of the Gating Network: Combining Generative Models and Discriminative Training in Natural Image Priors NIPS 2015
On some provably correct cases of variational inference for topic models NIPS 2015
Exploring Models and Data for Image Question Answering NIPS 2015
Learning Structured Output Representation using Deep Conditional Generative Models NIPS 2015
Deep Temporal Sigmoid Belief Networks for Sequence Modeling NIPS 2015
Max-Margin Deep Generative Models NIPS 2015
Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images NIPS 2015