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Methodology
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Deep Learning
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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
On the relationship between variational inference and auto-associative memory
NIPS 2022
Expectation programming: Adapting probabilistic programming systems to estimate expectations efficiently
UAI 2022
Laplacian Autoencoders for Learning Stochastic Representations
NIPS 2022
Learning Neural Set Functions Under the Optimal Subset Oracle
NIPS 2022
Flowification: Everything is a normalizing flow
NIPS 2022
Vector-quantized Variational Autoencoder for Phase-aware Speech Enhancement
INTERSPEECH 2022
Hiding Images in Deep Probabilistic Models
NIPS 2022
Semi-Supervised Generative Models for Multiagent Trajectories
NIPS 2022
An Attention-Based Method for Guiding Attribute-Aligned Speech Representation Learning
INTERSPEECH 2022
End-to-End Text-to-Speech Based on Latent Representation of Speaking Styles Using Spontaneous Dialogue
INTERSPEECH 2022
A Sparsity-promoting Dictionary Model for Variational Autoencoders
INTERSPEECH 2022
Rethinking Controllable Variational Autoencoders
CVPR 2022
Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization
NIPS 2022
DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework
IJCAI 2022
Learning to Express in Knowledge-Grounded Conversation
NAACL 2022
Unsupervised Opinion Summarisation in the Wasserstein Space
EMNLP 2022
Multiband VAE: Latent Space Alignment for Knowledge Consolidation in Continual Learning
IJCAI 2022
Multi-Scale Distribution Deep Variational Autoencoder for Explanation Generation
ACL 2022
Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text Generation
NAACL 2022
Non-Autoregressive Neural Machine Translation with Consistency Regularization Optimized Variational Framework
NAACL 2022
Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations
AISTATS 2022
Concentration of Data Encoding in Parameterized Quantum Circuits
NIPS 2022
A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneck
COLING 2022
Identifiability of deep generative models without auxiliary information
NIPS 2022
A Personalized Dialogue Generator with Implicit User Persona Detection
COLING 2022
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