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Methodology
← Models
Deep Learning
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Models
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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
Adaptive, Distribution-Free Prediction Intervals for Deep Networks
AISTATS 2020
Interpretable Deep Gaussian Processes with Moments
AISTATS 2020
Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations
AISTATS 2020
Validated Variational Inference via Practical Posterior Error Bounds
AISTATS 2020
A Rule for Gradient Estimator Selection, with an Application to Variational Inference
AISTATS 2020
Sparse Orthogonal Variational Inference for Gaussian Processes
AISTATS 2020
Neural Decomposition: Functional ANOVA with Variational Autoencoders
AISTATS 2020
Probabilistic Pixel-Adaptive Refinement Networks
CVPR 2020
Variational Hierarchical Dialog Autoencoder for Dialog State Tracking Data Augmentation
EMNLP 2020
AIN: Fast and Accurate Sequence Labeling with Approximate Inference Network
EMNLP 2020
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
NIPS 2020
Bidirectional Convolutional Poisson Gamma Dynamical Systems
NIPS 2020
Vector-Quantized Neural Networks for Acoustic Unit Discovery in the ZeroSpeech 2020 Challenge
INTERSPEECH 2020
Approximation Based Variance Reduction for Reparameterization Gradients
NIPS 2020
Dynamic Prosody Generation for Speech Synthesis Using Linguistics-Driven Acoustic Embedding Selection
INTERSPEECH 2020
Planning from Images with Deep Latent Gaussian Process Dynamics
L4DC 2020
Stationary Activations for Uncertainty Calibration in Deep Learning
NIPS 2020
Public Sentiment Drift Analysis Based on Hierarchical Variational Auto-encoder
EMNLP 2020
Do sequence-to-sequence VAEs learn global features of sentences?
EMNLP 2020
Video Instance Segmentation Tracking With a Modified VAE Architecture
CVPR 2020
A Graph Auto-encoder Model of Derivational Morphology
ACL 2020
Joint Training of Variational Auto-Encoder and Latent Energy-Based Model
CVPR 2020
User-Dependent Neural Sequence Models for Continuous-Time Event Data
NIPS 2020
Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder
NIPS 2020
Recursive Inference for Variational Autoencoders
NIPS 2020
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