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
Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders
NIPS 2020
Stochastic Variational Inference for Dynamic Correlated Topic Models
UAI 2020
Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder
ACL 2020
Frequency Bias in Neural Networks for Input of Non-Uniform Density
ICML 2020
Auto-Encoding Variational Bayes for Inferring Topics and Visualization
COLING 2020
Linear Disentangled Representations and Unsupervised Action Estimation
NIPS 2020
SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows
NIPS 2020
VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data
NIPS 2020
Constraining Variational Inference with Geometric Jensen-Shannon Divergence
NIPS 2020
Walsh-Hadamard Variational Inference for Bayesian Deep Learning
NIPS 2020
Learning to Learn Variational Semantic Memory
NIPS 2020
Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
NIPS 2020
Flexible Approximate Inference via Stratified Normalizing Flows
UAI 2020
Probabilistic Graphical Models with Neural Networks in InferPy
PGM 2020
Variational Pathway Reasoning for EEG Emotion Recognition
AAAI 2020
Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback
AAAI 2020
Uncertainty-Aware Deep Classifiers Using Generative Models
AAAI 2020
Efficient Low Rank Gaussian Variational Inference for Neural Networks
NIPS 2020
Speech Enhancement with Stochastic Temporal Convolutional Networks
INTERSPEECH 2020
Bridged Variational Autoencoders for Joint Modeling of Images and Attributes
WACV 2020
Unsupervised Acoustic Unit Representation Learning for Voice Conversion Using WaveNet Auto-Encoders
INTERSPEECH 2020
Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes
AAAI 2020
Learning Joint Articulatory-Acoustic Representations with Normalizing Flows
INTERSPEECH 2020
Probabilistic Structural Latent Representation for Unsupervised Embedding
CVPR 2020
Unsupervised Learning for Sequence-to-Sequence Text-to-Speech for Low-Resource Languages
INTERSPEECH 2020
<
1
…
49
50
51
…
78
>