Co-occurring keywords · papers mentioning both
Papers
Codebook Transfer with Part-of-Speech for Vector-Quantized Image Modeling
CVPR 2024
Exploring Stochastic Autoregressive Image Modeling for Visual Representation
AAAI 2023
Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits
ICML 2023
Information Theoretic lower bounds on negative log likelihood
ICLR 2019
Transformation Autoregressive Networks
ICML 2018
An Architecture for Deep, Hierarchical Generative Models
NeurIPS 2016
Towards Conceptual Compression
NeurIPS 2016
Generative Image Modeling Using Spatial LSTMs
NeurIPS 2015
Factoring Variations in Natural Images with Deep Gaussian Mixture Models
NeurIPS 2014
Training sparse natural image models with a fast Gibbs sampler of an extended state space
NeurIPS 2012
Hierarchical Modeling of Local Image Features through L_p-Nested Symmetric Distributions
NeurIPS 2009