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Variational Inference

1946 directly classified papers

Papers per year

Papers

Auto-Encoding Total Correlation Explanation AISTATS 2019
Reparameterizing Distributions on Lie Groups AISTATS 2019
Uncertainty Autoencoders: Learning Compressed Representations via Variational Information Maximization AISTATS 2019
A Deep Generative Model for Code Switched Text IJCAI 2019
Hybrid Models with Deep and Invertible Features ICML 2019
On Variational Bounds of Mutual Information ICML 2019
Variational Domain Adversarial Learning for Speaker Verification INTERSPEECH 2019
Fine-Grained Robust Prosody Transfer for Single-Speaker Neural Text-To-Speech INTERSPEECH 2019
Resisting Adversarial Attacks Using Gaussian Mixture Variational Autoencoders AAAI 2019
Deep Latent Generative Models for Energy Disaggregation AAAI 2019
NeVAE: A Deep Generative Model for Molecular Graphs AAAI 2019
Hyperprior Induced Unsupervised Disentanglement of Latent Representations AAAI 2019
Multi-Source Neural Variational Inference AAAI 2019
InfoVAE: Balancing Learning and Inference in Variational Autoencoders AAAI 2019
Understanding VAEs in Fisher-Shannon Plane AAAI 2019
Insufficient Data Can Also Rock! Learning to Converse Using Smaller Data with Augmentation AAAI 2019
Semi-supervised Stochastic Multi-Domain Learning using Variational Inference ACL 2019
Syntax-Infused Variational Autoencoder for Text Generation ACL 2019
Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models ACL 2019
Interpretable Neural Predictions with Differentiable Binary Variables ACL 2019
Language Modeling with Shared Grammar ACL 2019
Unsupervised Lesion Detection via Image Restoration with a Normative Prior MIDL 2019
ShanghaiTech at MRP 2019: Sequence-to-Graph Transduction with Second-Order Edge Inference for Cross-Framework Meaning Representation Parsing CONLL 2019
Active Learning via Membership Query Synthesis for Semi-Supervised Sentence Classification CONLL 2019
Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation CORL 2019