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Variational Inference

1946 directly classified papers

Papers per year

Papers

RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling EMNLP 2023
Markovian Gaussian Process Variational Autoencoders ICML 2023
Implicit Variational Inference for High-Dimensional Posteriors NIPS 2023
HierVST: Hierarchical Adaptive Zero-shot Voice Style Transfer INTERSPEECH 2023
Zero-Shot Self-Supervised Joint Temporal Image and Sensitivity Map Reconstruction via Linear Latent Space MIDL 2023
A neural architecture for selective attention to speech features INTERSPEECH 2023
Interpretable Latent Space Using Space-Filling Curves for Phonetic Analysis in Voice Conversion INTERSPEECH 2023
Generalized Information-theoretic Multi-view Clustering NIPS 2023
Probabilistic Weight Fixing: Large-scale training of neural network weight uncertainties for quantisation. NIPS 2023
Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation NIPS 2023
Metadata-Based RAW Reconstruction via Implicit Neural Functions CVPR 2023
Adapting Shortcut With Normalizing Flow: An Efficient Tuning Framework for Visual Recognition CVPR 2023
Task-Specific Fine-Tuning via Variational Information Bottleneck for Weakly-Supervised Pathology Whole Slide Image Classification CVPR 2023
Latent SDEs on Homogeneous Spaces NIPS 2023
Not All Image Regions Matter: Masked Vector Quantization for Autoregressive Image Generation CVPR 2023
Re-IQA: Unsupervised Learning for Image Quality Assessment in the Wild CVPR 2023
Catch Missing Details: Image Reconstruction With Frequency Augmented Variational Autoencoder CVPR 2023
MAGE: MAsked Generative Encoder To Unify Representation Learning and Image Synthesis CVPR 2023
Blind Video Deflickering by Neural Filtering With a Flawed Atlas CVPR 2023
Gradient-Based Uncertainty Attribution for Explainable Bayesian Deep Learning CVPR 2023
Uncertainty-aware Unsupervised Video Hashing AISTATS 2023
Learning from Multiple Sources for Data-to-Text and Text-to-Data AISTATS 2023
Robust Variational Autoencoding with Wasserstein Penalty for Novelty Detection AISTATS 2023
Variational Mixture of HyperGenerators for Learning Distributions over Functions ICML 2023
MolHF: A Hierarchical Normalizing Flow for Molecular Graph Generation IJCAI 2023