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Generative Models

6,381 papers

Papers per year

Papers

Why Spectral Normalization Stabilizes GANs: Analysis and Improvements NIPS 2021
Towards understanding retrosynthesis by energy-based models NIPS 2021
Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity NIPS 2021
Object-Centric Representation Learning with Generative Spatial-Temporal Factorization NIPS 2021
Bridging Explicit and Implicit Deep Generative Models via Neural Stein Estimators NIPS 2021
Score-based Generative Modeling in Latent Space NIPS 2021
Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models NIPS 2021
A-NeRF: Articulated Neural Radiance Fields for Learning Human Shape, Appearance, and Pose NIPS 2021
Non-asymptotic Error Bounds for Bidirectional GANs NIPS 2021
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions NIPS 2021
Don’t Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence NIPS 2021
A Multi-Implicit Neural Representation for Fonts NIPS 2021
Universal Approximation Using Well-Conditioned Normalizing Flows NIPS 2021
Divergence Frontiers for Generative Models: Sample Complexity, Quantization Effects, and Frontier Integrals NIPS 2021
Consistency Regularization for Variational Auto-Encoders NIPS 2021
Self-Supervised GANs with Label Augmentation NIPS 2021
CARMS: Categorical-Antithetic-REINFORCE Multi-Sample Gradient Estimator NIPS 2021
Controllable and Compositional Generation with Latent-Space Energy-Based Models NIPS 2021
PortaSpeech: Portable and High-Quality Generative Text-to-Speech NIPS 2021
Deep Extrapolation for Attribute-Enhanced Generation NIPS 2021
Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark NIPS 2021
TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up NIPS 2021
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling NIPS 2021
Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples NIPS 2021
Locally Most Powerful Bayesian Test for Out-of-Distribution Detection using Deep Generative Models NIPS 2021