← Models
Deep Learning › Models ›

Variational Inference

1946 directly classified papers

Papers per year

Papers

StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing ACL 2018
Unsupervised Discrete Sentence Representation Learning for Interpretable Neural Dialog Generation ACL 2018
Joint Learning Using Denoising Variational Autoencoders for Voice Activity Detection INTERSPEECH 2018
Probabilistic Machine Learning: Models, Algorithms and a Programming Library IJCAI 2018
Finding Communities with Hierarchical Semantics by Distinguishing General and Specialized topics IJCAI 2018
Trajectory-User Linking via Variational AutoEncoder IJCAI 2018
Student-t Variational Autoencoder for Robust Density Estimation IJCAI 2018
Generating Thematic Chinese Poetry using Conditional Variational Autoencoders with Hybrid Decoders IJCAI 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation ICML 2018
Stein Variational Gradient Descent Without Gradient ICML 2018
DropMax: Adaptive Variational Softmax NIPS 2018
Inference in Deep Gaussian Processes using Stochastic Gradient Hamiltonian Monte Carlo NIPS 2018
Learning to Decompose and Disentangle Representations for Video Prediction NIPS 2018
Generative Probabilistic Novelty Detection with Adversarial Autoencoders NIPS 2018
Improving Explorability in Variational Inference with Annealed Variational Objectives NIPS 2018
Gaussian Process Conditional Density Estimation NIPS 2018
Coupled Variational Bayes via Optimization Embedding NIPS 2018
Learning Attractor Dynamics for Generative Memory NIPS 2018
Learning Latent Subspaces in Variational Autoencoders NIPS 2018
Boosting Black Box Variational Inference NIPS 2018
Discretely Relaxing Continuous Variables for tractable Variational Inference NIPS 2018
Faithful Inversion of Generative Models for Effective Amortized Inference NIPS 2018
Flexible and accurate inference and learning for deep generative models NIPS 2018
Information Constraints on Auto-Encoding Variational Bayes NIPS 2018
DVAE#: Discrete Variational Autoencoders with Relaxed Boltzmann Priors NIPS 2018