Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Models
Deep Learning
›
Models
›
Variational Inference
1946 directly classified papers
Papers per year
2005: 2
2006: 7
2007: 7
2008: 4
2009: 8
2010: 9
2011: 11
2012: 14
2013: 16
2014: 11
2015: 30
2016: 40
2017: 75
2018: 140
2019: 257
2020: 250
2021: 275
2022: 253
2023: 233
2024: 146
2025: 103
2026: 55
Papers
Accelerating Continuous Normalizing Flow with Trajectory Polynomial Regularization
AAAI 2021
Soft-IntroVAE: Analyzing and Improving the Introspective Variational Autoencoder
CVPR 2021
Factorising Meaning and Form for Intent-Preserving Paraphrasing
ACL 2021
SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations
AAAI 2021
Semantics Disentangling for Generalized Zero-Shot Learning
ICCV 2021
Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization
AAAI 2021
Open-Set Recognition with Gaussian Mixture Variational Autoencoders
AAAI 2021
Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs
AAAI 2021
Tree-Structured Topic Modeling with Nonparametric Neural Variational Inference
ACL 2021
Probabilistic Modeling for Human Mesh Recovery
ICCV 2021
Multi-stream based marked point process
ACML 2021
Generalized Zero-Shot Learning via Disentangled Representation
AAAI 2021
Cross-structural Factor-topic Model: Document Analysis with Sophisticated Covariates
ACML 2021
DAGSurv: Directed Ayclic Graph Based Survival Analysis Using Deep Neural Networks
ACML 2021
Joint Demosaicking and Denoising in the Wild: The Case of Training Under Ground Truth Uncertainty
AAAI 2021
Improving Gaussian mixture latent variable model convergence with Optimal Transport
ACML 2021
Learning Latent Architectural Distribution in Differentiable Neural Architecture Search via Variational Information Maximization
ICCV 2021
Capturing Uncertainty in Unsupervised GPS Trajectory Segmentation Using Bayesian Deep Learning
AAAI 2021
Towards Generating Summaries for Lexically Confusing Code through Code Erosion
IJCAI 2021
Quantitative Understanding of VAE as a Non-linearly Scaled Isometric Embedding
ICML 2021
Forecasting Reservoir Inflow via Recurrent Neural ODEs
AAAI 2021
Generating Long Financial Report using Conditional Variational Autoencoders with Knowledge Distillation
AAAI 2021
Improving black-box optimization in VAE latent space using decoder uncertainty
NIPS 2021
UWSpeech: Speech to Speech Translation for Unwritten Languages
AAAI 2021
Multiwavelet-based Operator Learning for Differential Equations
NIPS 2021
<
1
…
37
38
39
…
78
>