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Variational Inference

1946 directly classified papers

Papers per year

Papers

Disentangled Relational Representations for Explaining and Learning from Demonstration CORL 2019
Bayesian Optimization in Variational Latent Spaces with Dynamic Compression CORL 2019
Sampling-Free Variational Inference of Bayesian Neural Networks by Variance Backpropagation UAI 2019
Variational Inference of Penalized Regression with Submodular Functions UAI 2019
FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow IJCNLP 2019
Modeling Event Background for If-Then Commonsense Reasoning Using Context-aware Variational Autoencoder IJCNLP 2019
Structuring Latent Spaces for Stylized Response Generation IJCNLP 2019
Variational Hierarchical User-based Conversation Model IJCNLP 2019
Adversarial Variational Optimization of Non-Differentiable Simulators AISTATS 2019
Structured Neural Topic Models for Reviews AISTATS 2019
Pyro: Deep Universal Probabilistic Programming JMLR 2019
Decoupling Sparsity and Smoothness in the Dirichlet Variational Autoencoder Topic Model JMLR 2019
Combining Sentiment Lexica with a Multi-View Variational Autoencoder NAACL 2019
Unsupervised Recurrent Neural Network Grammars NAACL 2019
Doc2hash: Learning Discrete Latent variables for Documents Retrieval NAACL 2019
A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations NAACL 2019
Learning to Decipher Hate Symbols NAACL 2019
Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation NAACL 2019
Diversifying Reply Suggestions Using a Matching-Conditional Variational Autoencoder NAACL 2019
Sparse Multi-Channel Variational Autoencoder for the Joint Analysis of Heterogeneous Data ICML 2019
Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs ICML 2019
Deep Generative Learning via Variational Gradient Flow ICML 2019
An Instability in Variational Inference for Topic Models ICML 2019
Multi-Object Representation Learning with Iterative Variational Inference ICML 2019
Graphite: Iterative Generative Modeling of Graphs ICML 2019