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Bayesian Inference

4,821 papers

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Papers

LiBRe: A Practical Bayesian Approach to Adversarial Detection CVPR 2021
Learning Deep Latent Variable Models by Short-Run MCMC Inference With Optimal Transport Correction CVPR 2021
Sparse Multi-Path Corrections in Fringe Projection Profilometry CVPR 2021
Uncertainty Reduction for Model Adaptation in Semantic Segmentation CVPR 2021
Fusing the Old with the New: Learning Relative Camera Pose with Geometry-Guided Uncertainty CVPR 2021
Post-Hoc Uncertainty Calibration for Domain Drift Scenarios CVPR 2021
Coarse-To-Fine Person Re-Identification With Auxiliary-Domain Classification and Second-Order Information Bottleneck CVPR 2021
Uncertainty-Guided Model Generalization to Unseen Domains CVPR 2021
Online Learning of a Probabilistic and Adaptive Scene Representation CVPR 2021
From Rain Generation to Rain Removal CVPR 2021
Enriching ImageNet With Human Similarity Judgments and Psychological Embeddings CVPR 2021
VaB-AL: Incorporating Class Imbalance and Difficulty With Variational Bayes for Active Learning CVPR 2021
Masksembles for Uncertainty Estimation CVPR 2021
Spherical Confidence Learning for Face Recognition CVPR 2021
Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging CVPR 2021
Correlated Input-Dependent Label Noise in Large-Scale Image Classification CVPR 2021
Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression CVPR 2021
Fast Bayesian Uncertainty Estimation and Reduction of Batch Normalized Single Image Super-Resolution Network CVPR 2021
An Alternative Probabilistic Interpretation of the Huber Loss CVPR 2021
Track, Check, Repeat: An EM Approach to Unsupervised Tracking CVPR 2021
Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization CVPR 2021
Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression CVPR 2021
AutoDO: Robust AutoAugment for Biased Data With Label Noise via Scalable Probabilistic Implicit Differentiation CVPR 2021
Learning an Explicit Weighting Scheme for Adapting Complex HSI Noise CVPR 2021
Learning Accurate Dense Correspondences and When To Trust Them CVPR 2021