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Generative Models

6381 directly classified papers

Papers per year

Papers

Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting NIPS 2019
Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians NIPS 2019
Discrete Flows: Invertible Generative Models of Discrete Data NIPS 2019
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs NIPS 2019
Conditional Structure Generation through Graph Variational Generative Adversarial Nets NIPS 2019
Fast and Provable ADMM for Learning with Generative Priors NIPS 2019
Blind Super-Resolution Kernel Estimation using an Internal-GAN NIPS 2019
A Domain Agnostic Measure for Monitoring and Evaluating GANs NIPS 2019
A Solvable High-Dimensional Model of GAN NIPS 2019
The Implicit Metropolis-Hastings Algorithm NIPS 2019
Blow: a single-scale hyperconditioned flow for non-parallel raw-audio voice conversion NIPS 2019
Geometry-Aware Neural Rendering NIPS 2019
Invertible Convolutional Flow NIPS 2019
Quality Aware Generative Adversarial Networks NIPS 2019
Multi-marginal Wasserstein GAN NIPS 2019
Dual Adversarial Semantics-Consistent Network for Generalized Zero-Shot Learning NIPS 2019
Learn, Imagine and Create: Text-to-Image Generation from Prior Knowledge NIPS 2019
Co-Generation with GANs using AIS based HMC NIPS 2019
G2SAT: Learning to Generate SAT Formulas NIPS 2019
Natural and Realistic Single Image Super-Resolution With Explicit Natural Manifold Discrimination CVPR 2019
A Generative Appearance Model for End-To-End Video Object Segmentation CVPR 2019
Conditional Single-View Shape Generation for Multi-View Stereo Reconstruction CVPR 2019
Unsupervised Primitive Discovery for Improved 3D Generative Modeling CVPR 2019
A Hybrid Model for Globally Coherent Story Generation ACL 2019
Language Modeling with Shared Grammar ACL 2019