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Generative Models

6,381 papers

Papers per year

Papers

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
Barking up the right tree: an approach to search over molecule synthesis DAGs NIPS 2020
GramGAN: Deep 3D Texture Synthesis From 2D Exemplars NIPS 2020
Swapping Autoencoder for Deep Image Manipulation NIPS 2020
Generating Correct Answers for Progressive Matrices Intelligence Tests NIPS 2020
Implicit Neural Representations with Periodic Activation Functions NIPS 2020
Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows NIPS 2020
Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification NIPS 2020
Neural Star Domain as Primitive Representation NIPS 2020
Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search NIPS 2020
Self-Supervised Generative Adversarial Compression NIPS 2020
Multi-Fidelity Bayesian Optimization via Deep Neural Networks NIPS 2020
Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation NIPS 2020
COT-GAN: Generating Sequential Data via Causal Optimal Transport NIPS 2020
Further Analysis of Outlier Detection with Deep Generative Models NIPS 2020
Listening to Sounds of Silence for Speech Denoising NIPS 2020
ShapeFlow: Learnable Deformation Flows Among 3D Shapes NIPS 2020