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Variational Inference

1,952 papers

Papers per year

2
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31
252
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Papers

AMR Parsing as Graph Prediction with Latent Alignment ACL 2018
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
MojiTalk: Generating Emotional Responses at Scale ACL 2018
A Stochastic Decoder for Neural Machine Translation ACL 2018
Stock Movement Prediction from Tweets and Historical Prices ACL 2018
Neural Models for Documents with Metadata ACL 2018
NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing ACL 2018
A Structured Variational Autoencoder for Contextual Morphological Inflection ACL 2018
Variational Inference and Deep Generative Models ACL 2018
RDEC: Integrating Regularization into Deep Embedded Clustering for Imbalanced Datasets ACML 2018
Multidimensional Time Series Anomaly Detection: A GRU-based Gaussian Mixture Variational Autoencoder Approach ACML 2018
Can clustering scale sublinearly with its clusters? A variational EM acceleration of GMMs and k-means AISTATS 2018
On the challenges of learning with inference networks on sparse, high-dimensional data AISTATS 2018
Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition AISTATS 2018
Variational Inference based on Robust Divergences AISTATS 2018
Variational Rejection Sampling AISTATS 2018
Variational Sequential Monte Carlo AISTATS 2018
Learning to Round for Discrete Labeling Problems AISTATS 2018
Semi-Supervised Prediction-Constrained Topic Models AISTATS 2018
VAE with a VampPrior AISTATS 2018
On Statistical Optimality of Variational Bayes AISTATS 2018
Proximity Variational Inference AISTATS 2018
Interaction-Aware Topic Model for Microblog Conversations through Network Embedding and User Attention COLING 2018
Variational Attention for Sequence-to-Sequence Models COLING 2018