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Generative Models

197 directly classified papers

Papers per year

Papers

Hiding Images in Deep Probabilistic Models NIPS 2022
Non-identifiability and the Blessings of Misspecification in Models of Molecular Fitness NIPS 2022
A Kernelised Stein Statistic for Assessing Implicit Generative Models NIPS 2022
Generating multivariate time series with COmmon Source CoordInated GAN (COSCI-GAN) NIPS 2022
GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs NIPS 2022
Zero-Shot Logit Adjustment IJCAI 2022
Neurosymbolic Deep Generative Models for Sequence Data with Relational Constraints NIPS 2022
Gradient-based Constrained Sampling from Language Models EMNLP 2022
Model Criticism for Long-Form Text Generation EMNLP 2022
CARMS: Categorical-Antithetic-REINFORCE Multi-Sample Gradient Estimator NIPS 2021
Flow-Based Kernel Prior With Application to Blind Super-Resolution CVPR 2021
Dual Contradistinctive Generative Autoencoder CVPR 2021
Partition-Guided GANs CVPR 2021
Asymmetric Gained Deep Image Compression With Continuous Rate Adaptation CVPR 2021
LayoutTransformer: Scene Layout Generation With Conceptual and Spatial Diversity CVPR 2021
Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design ICML 2021
Transductive Zero-Shot Learning by Decoupled Feature Generation WACV 2021
Modified Frank Wolfe in Probability Space NIPS 2021
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions NIPS 2021
Moser Flow: Divergence-based Generative Modeling on Manifolds NIPS 2021
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling NIPS 2021
Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data NIPS 2021
A Variational Perspective on Diffusion-Based Generative Models and Score Matching NIPS 2021
Densely connected normalizing flows NIPS 2021
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation NIPS 2021