variational inference

2069 papers

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Also known as

VI-NET VRNN VBI SVI VIBE VQ-VAE ADVI VARNET MCVI PARVI SAVI VI VAE VMP VB BBVI ELBO VIB

Co-occurring keywords

bayesian inference (1904) gaussian process (1198) generative model (2889) variational autoencoder (1282) latent variable model (564) probabilistic modeling (851) representation learning (6174) uncertainty quantification (1365) latent variable (541) approximate inference (253)

Papers

Score Priors Guided Deep Variational Inference for Unsupervised Real-World Single Image Denoising ICCV 2023

MAGE: MAsked Generative Encoder To Unify Representation Learning and Image Synthesis CVPR 2023

GFlowOut: Dropout with Generative Flow Networks ICML 2023

Video Probabilistic Diffusion Models in Projected Latent Space CVPR 2023

PAC-Bayesian Generalization Bounds for Adversarial Generative Models ICML 2023

Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference ICML 2023

H-Likelihood Approach to Deep Neural Networks with Temporal-Spatial Random Effects for High-Cardinality Categorical Features ICML 2023

Incorporating functional summary information in Bayesian neural networks using a Dirichlet process likelihood approach AISTATS 2023

Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning Approach AISTATS 2023

Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification AISTATS 2023

Variational Boosted Soft Trees AISTATS 2023

Weakly Supervised Segmentation With Point Annotations for Histopathology Images via Contrast-Based Variational Model CVPR 2023

Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models ICML 2023

Effective Neural Topic Modeling with Embedding Clustering Regularization ICML 2023

Learning Hierarchical Features with Joint Latent Space Energy-Based Prior ICCV 2023

An Empirical Bayes Framework for Open-Domain Dialogue Generation EMNLP 2023

Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting ICML 2023

MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks ICML 2023

The Bayesian Learning Rule JMLR 2023

Top-Down Visual Attention From Analysis by Synthesis CVPR 2023

Task-Specific Fine-Tuning via Variational Information Bottleneck for Weakly-Supervised Pathology Whole Slide Image Classification CVPR 2023

Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes ICML 2023

Boosting Summarization with Normalizing Flows and Aggressive Training EMNLP 2023

Von Mises Mixture Distributions for Molecular Conformation Generation ICML 2023

Noisy Positive-Unlabeled Learning with Self-Training for Speculative Knowledge Graph Reasoning ACL 2023