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Generative Models

6381 directly classified papers

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Papers

JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets ICML 2018
Autoregressive Quantile Networks for Generative Modeling ICML 2018
Transformation Autoregressive Networks ICML 2018
Which Training Methods for GANs do actually Converge? ICML 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation ICML 2018
Generative Temporal Models with Spatial Memory for Partially Observed Environments ICML 2018
PixelSNAIL: An Improved Autoregressive Generative Model ICML 2018
Adversarial Learning with Local Coordinate Coding ICML 2018
NetGAN: Generating Graphs via Random Walks ICML 2018
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation CVPR 2018
Fitting New Speakers Based on a Short Untranscribed Sample ICML 2018
First Order Generative Adversarial Networks ICML 2018
Composite Functional Gradient Learning of Generative Adversarial Models ICML 2018
Geometry Score: A Method For Comparing Generative Adversarial Networks ICML 2018
Fast Decoding in Sequence Models Using Discrete Latent Variables ICML 2018
DVAE++: Discrete Variational Autoencoders with Overlapping Transformations ICML 2018
Chi-square Generative Adversarial Network ICML 2018
Tempered Adversarial Networks ICML 2018
A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music ICML 2018
Learning Implicit Generative Models with the Method of Learned Moments ICML 2018
A probabilistic framework for multi-view feature learning with many-to-many associations via neural networks ICML 2018
Mixed batches and symmetric discriminators for GAN training ICML 2018
Semi-Amortized Variational Autoencoders ICML 2018
Neural Autoregressive Flows ICML 2018
Modeling Sparse Deviations for Compressed Sensing using Generative Models ICML 2018