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Generative Models

6,381 papers

Papers per year

Papers

GANSpace: Discovering Interpretable GAN Controls NIPS 2020
Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration NIPS 2020
Constraining Variational Inference with Geometric Jensen-Shannon Divergence NIPS 2020
Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control NIPS 2020
A Decentralized Parallel Algorithm for Training Generative Adversarial Nets NIPS 2020
RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces NIPS 2020
VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data NIPS 2020
Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining NIPS 2020
SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images NIPS 2020
DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs NIPS 2020
Distributional Robustness with IPMs and links to Regularization and GANs NIPS 2020
High-Fidelity Generative Image Compression NIPS 2020
Guiding Deep Molecular Optimization with Genetic Exploration NIPS 2020
Training Generative Adversarial Networks with Limited Data NIPS 2020
Your GAN is Secretly an Energy-based Model and You Should Use Discriminator Driven Latent Sampling NIPS 2020
Invertible Gaussian Reparameterization: Revisiting the Gumbel-Softmax NIPS 2020
Improved Techniques for Training Score-Based Generative Models NIPS 2020
Generative Neurosymbolic Machines NIPS 2020
Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models NIPS 2020
GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators NIPS 2020
SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows NIPS 2020
Practical No-box Adversarial Attacks against DNNs NIPS 2020
A Spectral Energy Distance for Parallel Speech Synthesis NIPS 2020
Deep Energy-based Modeling of Discrete-Time Physics NIPS 2020
Instance Selection for GANs NIPS 2020