generative model

Evaluating State-of-the-Art Classification Models Against Bayes Optimality NeurIPS 2021 Evaluating the Disentanglement of Deep Generative Models through Manifold Topology ICLR 2021 Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models NeurIPS 2021 Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions NeurIPS 2021 Fairness for Image Generation with Uncertain Sensitive Attributes ICML 2021 Few-Shot Learning via Feature Hallucination With Variational Inference WACV 2021 Fisher Auto-Encoders AISTATS 2021 FlexAE: flexibly learning latent priors for wasserstein auto-encoders UAI 2021 Flow-Guided Video Inpainting With Scene Templates ICCV 2021 Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation NeurIPS 2021 Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis ICLR 2021 Focal Frequency Loss for Image Reconstruction and Synthesis ICCV 2021 Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design ICML 2021 Forecasting Irreversible Disease via Progression Learning CVPR 2021 FREE: Feature Refinement for Generalized Zero-Shot Learning ICCV 2021 From Rain Generation to Rain Removal CVPR 2021 Further results on latent discourse models and word embeddings JMLR 2021 GAN Ensemble for Anomaly Detection AAAI 2021 GANmut: Learning Interpretable Conditional Space for Gamut of Emotions CVPR 2021 GATSBI: Generative Agent-Centric Spatio-Temporal Object Interaction CVPR 2021 Gaussian Process Priors for View-Aware Inference AAAI 2021 Generalization on Unseen Domains via Inference-Time Label-Preserving Target Projections CVPR 2021 Generalized Doubly Reparameterized Gradient Estimators ICML 2021 Generalized Energy Based Models ICLR 2021 Generalized Multimodal ELBO ICLR 2021