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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

2
20
62
1007
4276
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Papers (including subtopics)

Learning to Learn with Compound HD Models NIPS 2011
Practical Variational Inference for Neural Networks NIPS 2011
On Tracking The Partition Function NIPS 2011
t-divergence Based Approximate Inference NIPS 2011
Expressive Power and Approximation Errors of Restricted Boltzmann Machines NIPS 2011
Select and Sample - A Model of Efficient Neural Inference and Learning NIPS 2011
Generalized Beta Mixtures of Gaussians NIPS 2011
Variational Gaussian Process Dynamical Systems NIPS 2011
Neuronal Adaptation for Sampling-Based Probabilistic Inference in Perceptual Bistability NIPS 2011
Global Solution of Fully-Observed Variational Bayesian Matrix Factorization is Column-Wise Independent NIPS 2011
EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning NIPS 2011
Facial Expression Transfer with Input-Output Temporal Restricted Boltzmann Machines NIPS 2011
Probabilistic Joint Image Segmentation and Labeling NIPS 2011
Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities NIPS 2011
Mixed-Variate Restricted Boltzmann Machines ACML 2011
Robust Generation of Dynamical Patterns in Human Motion by a Deep Belief Nets ACML 2011
The Neural Autoregressive Distribution Estimator AISTATS 2011
Discussion of “The Neural Autoregressive Distribution Estimator” AISTATS 2011
Generative Kernels for Exponential Families AISTATS 2011
Robust Bayesian Matrix Factorisation AISTATS 2011
Online Variational Inference for the Hierarchical Dirichlet Process AISTATS 2011
Approximate Marginals in Latent Gaussian Models JMLR 2011
Two Distributed-State Models For Generating High-Dimensional Time Series JMLR 2011
Generative Local Metric Learning for Nearest Neighbor Classification NIPS 2010
Empirical Risk Minimization with Approximations of Probabilistic Grammars NIPS 2010