conftrace_

generative model

2892 papers

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Also known as

GM

Co-occurring keywords

diffusion model (3751) image generation (2073) variational autoencoder (1288) variational inference (2069) neural network (6616) latent space (854) generative adversarial network (1944) representation learning (6206) unsupervised learning (3264) normalizing flow (354)

Papers

SMPLpix: Neural Avatars From 3D Human Models WACV 2021
Controllable and Progressive Image Extrapolation WACV 2021
Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions NIPS 2021
A Compositional Atlas of Tractable Circuit Operations for Probabilistic Inference NIPS 2021
Generalized Doubly Reparameterized Gradient Estimators ICML 2021
Learning Transferable Adversarial Perturbations NIPS 2021
Diffusion Normalizing Flow NIPS 2021
Moser Flow: Divergence-based Generative Modeling on Manifolds NIPS 2021
Local Disentanglement in Variational Auto-Encoders Using Jacobian $L_1$ Regularization NIPS 2021
What's in the Image? Explorable Decoding of Compressed Images CVPR 2021
Equivariant Manifold Flows NIPS 2021
Divergence Frontiers for Generative Models: Sample Complexity, Quantization Effects, and Frontier Integrals NIPS 2021
Adaptable Agent Populations via a Generative Model of Policies NIPS 2021
Further results on latent discourse models and word embeddings JMLR 2021
ROOTS: Object-Centric Representation and Rendering of 3D Scenes JMLR 2021
Diffusion Models Beat GANs on Image Synthesis NIPS 2021
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling NIPS 2021
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation NIPS 2021
Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data AISTATS 2021
DP-MERF: Differentially Private Mean Embeddings with RandomFeatures for Practical Privacy-preserving Data Generation AISTATS 2021
Forecasting Irreversible Disease via Progression Learning CVPR 2021
Joint inference and input optimization in equilibrium networks NIPS 2021
Estimating High Order Gradients of the Data Distribution by Denoising NIPS 2021
Contrastive Embedding for Generalized Zero-Shot Learning CVPR 2021
Bridging Explicit and Implicit Deep Generative Models via Neural Stein Estimators NIPS 2021