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Generative Models

7,221 papers

Papers per year

11
34
709
943
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Papers

Convolutional Generation of Textured 3D Meshes NIPS 2020
Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring NIPS 2020
Deep Archimedean Copulas NIPS 2020
Sinkhorn Natural Gradient for Generative Models NIPS 2020
A Loss Function for Generative Neural Networks Based on Watson’s Perceptual Model NIPS 2020
Network-to-Network Translation with Conditional Invertible Neural Networks NIPS 2020
Fourier Spectrum Discrepancies in Deep Network Generated Images NIPS 2020
A Universal Approximation Theorem of Deep Neural Networks for Expressing Probability Distributions NIPS 2020
Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators NIPS 2020
Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks NIPS 2020
Teaching a GAN What Not to Learn NIPS 2020
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models NIPS 2020
Low Distortion Block-Resampling with Spatially Stochastic Networks NIPS 2020
Telescoping Density-Ratio Estimation NIPS 2020
Dirichlet Graph Variational Autoencoder NIPS 2020
Training Generative Adversarial Networks by Solving Ordinary Differential Equations NIPS 2020
Gradient Estimation with Stochastic Softmax Tricks NIPS 2020
Woodbury Transformations for Deep Generative Flows NIPS 2020
Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence NIPS 2020
Wavelet Flow: Fast Training of High Resolution Normalizing Flows NIPS 2020
Bootstrapping neural processes NIPS 2020
Compositional Visual Generation with Energy Based Models NIPS 2020
Autoregressive Score Matching NIPS 2020
BlockGAN: Learning 3D Object-aware Scene Representations from Unlabelled Images NIPS 2020
Denoising Diffusion Probabilistic Models NIPS 2020