|
gptkbp:instance_of
|
gptkb:television_channel
|
|
gptkbp:bfsLayer
|
5
|
|
gptkbp:bfsParent
|
gptkb:Pixel_CNN
|
|
gptkbp:applies_to
|
Image Generation
|
|
gptkbp:architectural_style
|
Autoregressive Model
|
|
gptkbp:based_on
|
Conditional Probability Distribution
|
|
gptkbp:can_be_used_with
|
Attention Mechanisms
|
|
gptkbp:can_create
|
High-Quality Images
|
|
gptkbp:developed_by
|
gptkb:Google_Brain
Collaborative Research
Unsupervised Learning
|
|
gptkbp:has_achievements
|
State-of-the-art results
|
|
gptkbp:has_variants
|
gptkb:Pixel_SNAIL
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Pixel RNN
|
|
gptkbp:improves
|
gptkb:Pixel_CNN
|
|
gptkbp:input_output
|
Pixel Values
|
|
gptkbp:introduced
|
gptkb:2016
|
|
gptkbp:is_analyzed_in
|
Performance Metrics
Machine Learning Conferences
|
|
gptkbp:is_cited_in
|
AI Researchers
Numerous Research Papers
|
|
gptkbp:is_compared_to
|
gptkb:Variational_Autoencoders
GA Ns
|
|
gptkbp:is_considered_as
|
A Benchmark Model
|
|
gptkbp:is_documented_in
|
Technical Reports
|
|
gptkbp:is_evaluated_by
|
gptkb:CIFAR-10
Perplexity
Log-Likelihood
|
|
gptkbp:is_explored_in
|
gptkb:Generative_Adversarial_Networks
AI Ethics Discussions
Image Recognition Tasks
Deep Learning Tutorials
|
|
gptkbp:is_implemented_in
|
gptkb:Graphics_Processing_Unit
Research Institutions
|
|
gptkbp:is_influenced_by
|
gptkb:Variational_Autoencoders
|
|
gptkbp:is_influential_in
|
Image Processing
|
|
gptkbp:is_known_for
|
Capturing Complex Distributions
|
|
gptkbp:is_noted_for
|
Sequential Pixel Generation
|
|
gptkbp:is_part_of
|
AI Research Community
Deep Generative Models
Neural Network Architectures
Neural Network Research
Generative Modeling Techniques
|
|
gptkbp:is_related_to
|
gptkb:Deep_Learning
Probabilistic Models
|
|
gptkbp:is_supported_by
|
Research Funding
|
|
gptkbp:is_tested_for
|
gptkb:MNIST
Real-World Datasets
|
|
gptkbp:is_used_for
|
Data Augmentation
Image Completion
|
|
gptkbp:is_used_in
|
Art Generation
Creative Applications
|
|
gptkbp:is_utilized_in
|
Feature Learning
Image Synthesis
|
|
gptkbp:requires
|
Large Datasets
|
|
gptkbp:research
|
gptkb:viewpoint
|
|
gptkbp:training
|
Maximum Likelihood Estimation
|
|
gptkbp:uses
|
gptkb:Recurrent_Neural_Networks
|