Variational Inference
2,186 papers
Papers per year
2
7
7
4
8
9
11
14
16
12
31
40
75
157
272
270
294
291
271
190
148
57
'5
'10
'15
'20
'25
Papers
Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model
CVPR 2019
Diversifying Reply Suggestions Using a Matching-Conditional Variational Autoencoder
NAACL 2019
Divide and Couple: Using Monte Carlo Variational Objectives for Posterior Approximation
NeurIPS 2019
Doc2hash: Learning Discrete Latent variables for Documents Retrieval
NAACL 2019
Document Hashing with Mixture-Prior Generative Models
EMNLP 2019
Document Informed Neural Autoregressive Topic Models with Distributional Prior
AAAI 2019
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse
NeurIPS 2019
Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives
ICLR 2019
Doubly Semi-Implicit Variational Inference
AISTATS 2019
Dual Variational Generation for Low Shot Heterogeneous Face Recognition
NeurIPS 2019
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs
NeurIPS 2019
Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation
CoRL 2019
Efficient Inference in Multi-task Cox Process Models
AISTATS 2019
Energy-Inspired Models: Learning with Sampler-Induced Distributions
NeurIPS 2019
Enhancing Unsupervised Generative Dependency Parser with Contextual Information
ACL 2019
Enhancing Variational Autoencoders with Mutual Information Neural Estimation for Text Generation
EMNLP 2019
Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs
ICML 2019
Exact Rate-Distortion in Autoencoders via Echo Noise
NeurIPS 2019
Explicit Disentanglement of Appearance and Perspective in Generative Models
NeurIPS 2019
Explicitly disentangling image content from translation and rotation with spatial-VAE
NeurIPS 2019
Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations
ICML 2019
Feed-forward Propagation in Probabilistic Neural Networks with Categorical and Max Layers
ICLR 2019
FFJORD: Free-Form Continuous Dynamics for Scalable Reversible Generative Models
ICLR 2019
Fine-Grained Robust Prosody Transfer for Single-Speaker Neural Text-To-Speech
Interspeech 2019
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design
ICML 2019