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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
Towards Universal AI-Generated Image Detection by Variational Information Bottleneck Network
CVPR 2025
VideoVAE+: Large Motion Video Autoencoding with Cross-modal Video VAE
ICCV 2025
Multimodal Variational Autoencoder: A Barycentric View
AAAI 2025
CE-VAE: Capsule Enhanced Variational AutoEncoderfor Underwater Image Enhancement
WACV 2025
V-VAE: A Variational Auto Encoding Framework Towards Fine-Grained Control over Human-Like Chat
EMNLP 2025
Can3Tok: Canonical 3D Tokenization and Latent Modeling of Scene-Level 3D Gaussians
ICCV 2025
Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders
CVPR 2025
Unity in Diversity: Video Editing via Gradient-Latent Purification
CVPR 2025
VOLTA: Improving Generative Diversity by Variational Mutual Information Maximizing Autoencoder
NAACL 2024
Graph-Induced Syntactic-Semantic Spaces in Transformer-Based Variational AutoEncoders
NAACL 2024
Opinion Unaware Image Quality Assessment via Adversarial Convolutional Variational Autoencoder
WACV 2024
Enhancing Phrase Representation by Information Bottleneck Guided Text Diffusion Process for Keyphrase Extraction
COLING 2024
MEMORY-VQ: Compression for Tractable Internet-Scale Memory
NAACL 2024
StyleFlow: Disentangle Latent Representations via Normalizing Flow for Unsupervised Text Style Transfer
COLING 2024
Scale-VAE: Preventing Posterior Collapse in Variational Autoencoder
COLING 2024
VI-OOD: A Unified Framework of Representation Learning for Textual Out-of-distribution Detection
COLING 2024
IBCA: An Intelligent Platform for Social Insurance Benefit Qualification Status Assessment
AAAI 2024
Conditional Variational Autoencoder for Sign Language Translation with Cross-Modal Alignment
AAAI 2024
Explainable Earnings Call Representation Learning (Student Abstract)
AAAI 2024
Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document Generation
AAAI 2024
Adversarial Purification with the Manifold Hypothesis
AAAI 2024
Frogs into princes: A generative model to understand the success of product descriptions
COLING 2024
RedCore: Relative Advantage Aware Cross-Modal Representation Learning for Missing Modalities with Imbalanced Missing Rates
AAAI 2024
GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework
AAAI 2024
IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers
AAAI 2024
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