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Methodology
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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
Invertible Tabular GANs: Killing Two Birds with One Stone for Tabular Data Synthesis
NIPS 2021
On Empirical Bayes Variational Autoencoder: An Excess Risk Bound
COLT 2021
Generating Relevant and Coherent Dialogue Responses using Self-Separated Conditional Variational AutoEncoders
IJCNLP 2021
De-Confounded Variational Encoder-Decoder for Logical Table-to-Text Generation
IJCNLP 2021
Understanding Instance-based Interpretability of Variational Auto-Encoders
NIPS 2021
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation
IJCNLP 2021
TAN-NTM: Topic Attention Networks for Neural Topic Modeling
IJCNLP 2021
Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time
NIPS 2021
Discrete-Valued Neural Communication
NIPS 2021
Tree-Structured Topic Modeling with Nonparametric Neural Variational Inference
IJCNLP 2021
Polarized-VAE: Proximity Based Disentangled Representation Learning for Text Generation
EACL 2021
Generative Text Modeling through Short Run Inference
EACL 2021
Discovering Dialog Structure Graph for Coherent Dialog Generation
IJCNLP 2021
V-MAO: Generative Modeling for Multi-Arm Manipulation of Articulated Objects
CORL 2021
Unsupervised Class-Specific Abstractive Summarization of Customer Reviews
IJCNLP 2021
My House, My Rules: Learning Tidying Preferences with Graph Neural Networks
CORL 2021
Learning Sparse Sentence Encoding without Supervision: An Exploration of Sparsity in Variational Autoencoders
IJCNLP 2021
Synthesized Feature Based Few-Shot Class-Incremental Learning on a Mixture of Subspaces
ICCV 2021
HuMoR: 3D Human Motion Model for Robust Pose Estimation
ICCV 2021
Automatic structured variational inference
AISTATS 2021
Improving predictions of Bayesian neural nets via local linearization
AISTATS 2021
Moment-Based Variational Inference for Stochastic Differential Equations
AISTATS 2021
A Variational Inference Approach to Learning Multivariate Wold Processes
AISTATS 2021
Statistical Guarantees for Transformation Based Models with applications to Implicit Variational Inference
AISTATS 2021
Variational inference for nonlinear ordinary differential equations
AISTATS 2021
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