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Variational Inference

1,952 papers

Papers per year

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31
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Papers

Self Attention in Variational Sequential Learning for Summarization INTERSPEECH 2019
Conditional Variational Auto-Encoder for Text-Driven Expressive AudioVisual Speech Synthesis INTERSPEECH 2019
A Statistically Principled and Computationally Efficient Approach to Speech Enhancement Using Variational Autoencoders INTERSPEECH 2019
Variational Attention Using Articulatory Priors for Generating Code Mixed Speech Using Monolingual Corpora INTERSPEECH 2019
Variational Domain Adversarial Learning for Speaker Verification INTERSPEECH 2019
Fine-Grained Robust Prosody Transfer for Single-Speaker Neural Text-To-Speech INTERSPEECH 2019
Pyro: Deep Universal Probabilistic Programming JMLR 2019
Decoupling Sparsity and Smoothness in the Dirichlet Variational Autoencoder Topic Model JMLR 2019
Learning joint lesion and tissue segmentation from task-specific hetero-modal datasets MIDL 2019
Capturing Single-Cell Phenotypic Variation via Unsupervised Representation Learning MIDL 2019
Unsupervised Lesion Detection via Image Restoration with a Normative Prior MIDL 2019
Predicting Phase 3 Clinical Trial Results by Modeling Phase 2 Clinical Trial Subject Level Data Using Deep Learning MLHC 2019
Counterfactual Reasoning for Fair Clinical Risk Prediction MLHC 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
Differentiable Probabilistic Models of Scientific Imaging with the Fourier Slice Theorem UAI 2019
Randomized Value Functions via Multiplicative Normalizing Flows UAI 2019
Sampling-Free Variational Inference of Bayesian Neural Networks by Variance Backpropagation UAI 2019
Revisiting Reweighted Wake-Sleep for Models with Stochastic Control Flow UAI 2019
Subspace Inference for Bayesian Deep Learning UAI 2019