← Models
Deep Learning › Models ›

Variational Inference

1946 directly classified papers

Papers per year

Papers

Learning to Write Stories with Thematic Consistency and Wording Novelty AAAI 2019
TopicEq: A Joint Topic and Mathematical Equation Model for Scientific Texts AAAI 2019
Second-Order Semantic Dependency Parsing with End-to-End Neural Networks ACL 2019
Deep Bayesian Natural Language Processing ACL 2019
Unsupervised Learning of PCFGs with Normalizing Flow ACL 2019
Better Exploiting Latent Variables in Text Modeling ACL 2019
Topic Modeling with Wasserstein Autoencoders ACL 2019
Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions CVPR 2019
Pluralistic Image Completion CVPR 2019
Hierarchy Denoising Recursive Autoencoders for 3D Scene Layout Prediction CVPR 2019
Information Maximizing Visual Question Generation CVPR 2019
InverseRenderNet: Learning Single Image Inverse Rendering CVPR 2019
A Variational Auto-Encoder Model for Stochastic Point Processes CVPR 2019
Deep Robust Subjective Visual Property Prediction in Crowdsourcing CVPR 2019
Variational Prototyping-Encoder: One-Shot Learning With Prototypical Images CVPR 2019
SceneCode: Monocular Dense Semantic Reconstruction Using Learned Encoded Scene Representations CVPR 2019
Document Hashing with Mixture-Prior Generative Models EMNLP 2019
Dirichlet Latent Variable Hierarchical Recurrent Encoder-Decoder in Dialogue Generation EMNLP 2019
Neural Topic Model with Reinforcement Learning EMNLP 2019
Generalization in Generation: A closer look at Exposure Bias EMNLP 2019
Semi-supervisedly Co-embedding Attributed Networks NIPS 2019
A Simple Baseline for Bayesian Uncertainty in Deep Learning NIPS 2019
Direct Optimization through $\arg \max$ for Discrete Variational Auto-Encoder NIPS 2019
Attentive State-Space Modeling of Disease Progression NIPS 2019
Energy-Inspired Models: Learning with Sampler-Induced Distributions NIPS 2019