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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

Capsule Routing via Variational Bayes AAAI 2020
Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes AAAI 2020
Residual Neural Processes AAAI 2020
Differentiable Algorithm for Marginalising Changepoints AAAI 2020
Weakly Supervised Sequence Tagging from Noisy Rules AAAI 2020
Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers AAAI 2020
Third-Person Imitation Learning via Image Difference and Variational Discriminator Bottleneck (Student Abstract) AAAI 2020
Addressing Posterior Collapse with Mutual Information for Improved Variational Neural Machine Translation ACL 2020
A Batch Normalized Inference Network Keeps the KL Vanishing Away ACL 2020
Bayesian Hierarchical Words Representation Learning ACL 2020
Discrete Latent Variable Representations for Low-Resource Text Classification ACL 2020
Variational Neural Machine Translation with Normalizing Flows ACL 2020
Visual Question Generation from Radiology Images ACL 2020
Generating and Exploiting Probabilistic Monocular Depth Estimates CVPR 2020
Normalizing Flows With Multi-Scale Autoregressive Priors CVPR 2020
Joint Training of Variational Auto-Encoder and Latent Energy-Based Model CVPR 2020
Probabilistic Pixel-Adaptive Refinement Networks CVPR 2020
Approximation of Response Knowledge Retrieval in Knowledge-grounded Dialogue Generation EMNLP 2020
VarGrad: A Low-Variance Gradient Estimator for Variational Inference NIPS 2020
Identifying signal and noise structure in neural population activity with Gaussian process factor models NIPS 2020
Replica-Exchange Nos\'e-Hoover Dynamics for Bayesian Learning on Large Datasets NIPS 2020
Bi-level Score Matching for Learning Energy-based Latent Variable Models NIPS 2020
Black-Box Inference for Non-Linear Latent Force Models AISTATS 2020
Variational Policy Gradient Method for Reinforcement Learning with General Utilities NIPS 2020
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes NIPS 2020