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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

TAN-NTM: Topic Attention Networks for Neural Topic Modeling ACL 2021
Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting AAAI 2021
A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning NIPS 2021
Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows NIPS 2021
Identifiable Generative models for Missing Not at Random Data Imputation NIPS 2021
Variational Continual Bayesian Meta-Learning NIPS 2021
DiBS: Differentiable Bayesian Structure Learning NIPS 2021
Collapsed Variational Bounds for Bayesian Neural Networks NIPS 2021
On the Generative Utility of Cyclic Conditionals NIPS 2021
Spatio-Temporal Variational Gaussian Processes NIPS 2021
On the Stochastic Stability of Deep Markov Models NIPS 2021
Generating Diversified Comments via Reader-Aware Topic Modeling and Saliency Detection AAAI 2021
GIF Thumbnails: Attract More Clicks to Your Videos AAAI 2021
Tighter Bounds on the Log Marginal Likelihood of Gaussian Process Regression Using Conjugate Gradients ICML 2021
Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC AISTATS 2021
APS: Active Pretraining with Successor Features ICML 2021
Efficient online inference for nonparametric mixture models UAI 2021
HiABP: Hierarchical Initialized ABP for Unsupervised Representation Learning AAAI 2021
Improving the Robustness of QA Models to Challenge Sets with Variational Question-Answer Pair Generation ACL 2021
Improving the Robustness of QA Models to Challenge Sets with Variational Question-Answer Pair Generation IJCNLP 2021
Continuous-time edge modelling using non-parametric point processes NIPS 2021
Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels NIPS 2021
Learning an Explicit Weighting Scheme for Adapting Complex HSI Noise CVPR 2021
Variational Relational Point Completion Network CVPR 2021
Neighbor2Neighbor: Self-Supervised Denoising From Single Noisy Images CVPR 2021