Variational Inference

Exploiting Pseudo Labels in a Self-Supervised Learning Framework for Improved Monocular Depth Estimation CVPR 2022 Exploring Image Regions Not Well Encoded by an INN AISTATS 2022 FactorVAE: A Probabilistic Dynamic Factor Model Based on Variational Autoencoder for Predicting Cross-Sectional Stock Returns AAAI 2022 Fat–Tailed Variational Inference with Anisotropic Tail Adaptive Flows ICML 2022 Feature Space Particle Inference for Neural Network Ensembles ICML 2022 Flow-based Recurrent Belief State Learning for POMDPs ICML 2022 Flowification: Everything is a normalizing flow NeurIPS 2022 Forget-me-not! Contrastive critics for mitigating posterior collapse UAI 2022 Foundation Posteriors for Approximate Probabilistic Inference NeurIPS 2022 Fully Spiking Variational Autoencoder AAAI 2022 Function-space Inference with Sparse Implicit Processes ICML 2022 Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text Generation NAACL 2022 GAR: Generalized Autoregression for Multi-Fidelity Fusion NeurIPS 2022 Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification ICML 2022 Gaussian Process Modeling of Approximate Inference Errors for Variational Autoencoders CVPR 2022 Generalised GPLVM with Stochastic Variational Inference AISTATS 2022 Generalization Gap in Amortized Inference NeurIPS 2022 Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning NeurIPS 2022 Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder ICML 2022 Generating Diverse 3D Reconstructions From a Single Occluded Face Image CVPR 2022 Generating Diverse and Natural 3D Human Motions From Text CVPR 2022 Generating Representative Samples for Few-Shot Classification CVPR 2022 Generative Pseudo-Inverse Memory ICLR 2022 Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models NeurIPS 2022 Glass: Geometric Latent Augmentation for Shape Spaces CVPR 2022