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variational inference

2069 papers

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Also known as

VI

Co-occurring keywords

bayesian inference (1907) gaussian process (1200) generative model (2892) variational autoencoder (1288) latent variable model (564) probabilistic modeling (852) representation learning (6206) uncertainty quantification (1393) latent variable (541) approximate inference (253)

Papers

Unsupervised Cross-Domain Prerequisite Chain Learning using Variational Graph Autoencoders ACL 2021
Invertible Denoising Network: A Light Solution for Real Noise Removal CVPR 2021
A unified view of likelihood ratio and reparameterization gradients AISTATS 2021
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation ACL 2021
De-Confounded Variational Encoder-Decoder for Logical Table-to-Text Generation ACL 2021
Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows NIPS 2021
A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning NIPS 2021
Collapsed Variational Bounds for Bayesian Neural Networks NIPS 2021
Identifiable Generative models for Missing Not at Random Data Imputation NIPS 2021
Normalizing Flows for Probabilistic Modeling and Inference JMLR 2021
Tree-Structured Topic Modeling with Nonparametric Neural Variational Inference ACL 2021
Variational inference with continuously-indexed normalizing flows UAI 2021
Hierarchical Indian buffet neural networks for Bayesian continual learning UAI 2021
Learning proposals for probabilistic programs with inference combinators UAI 2021
NP-DRAW: A Non-Parametric Structured Latent Variable Model for Image Generation UAI 2021
Subset-of-data variational inference for deep Gaussian-processes regression UAI 2021
Hierarchical learning of Hidden Markov Models with clustering regularization UAI 2021
DiBS: Differentiable Bayesian Structure Learning NIPS 2021
q-Paths: Generalizing the geometric annealing path using power means UAI 2021
PROVIDE: a probabilistic framework for unsupervised video decomposition UAI 2021
Variational Continual Bayesian Meta-Learning NIPS 2021
On the Generative Utility of Cyclic Conditionals NIPS 2021
Improving the Robustness of QA Models to Challenge Sets with Variational Question-Answer Pair Generation ACL 2021
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation IJCNLP 2021
A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations ACL 2021