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Bayesian Inference

4,821 papers

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Papers

Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret COLT 2019
Nonconvex sampling with the Metropolis-adjusted Langevin algorithm COLT 2019
Striking the Right Balance With Uncertainty CVPR 2019
Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition CVPR 2019
Variational Convolutional Neural Network Pruning CVPR 2019
DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs CVPR 2019
Semantic Alignment: Finding Semantically Consistent Ground-Truth for Facial Landmark Detection CVPR 2019
What's to Know? Uncertainty as a Guide to Asking Goal-Oriented Questions CVPR 2019
Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach CVPR 2019
A Bayesian Perspective on the Deep Image Prior CVPR 2019
Enhanced Bayesian Compression via Deep Reinforcement Learning CVPR 2019
Probabilistic End-To-End Noise Correction for Learning With Noisy Labels CVPR 2019
Variational Bayesian Dropout With a Hierarchical Prior CVPR 2019
Reflective and Fluorescent Separation Under Narrow-Band Illumination CVPR 2019
Bayesian Hierarchical Dynamic Model for Human Action Recognition CVPR 2019
Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model CVPR 2019
Learning for Single-Shot Confidence Calibration in Deep Neural Networks Through Stochastic Inferences CVPR 2019
Robust Point Cloud Based Reconstruction of Large-Scale Outdoor Scenes CVPR 2019
A Variational EM Framework With Adaptive Edge Selection for Blind Motion Deblurring CVPR 2019
A Generative Adversarial Density Estimator CVPR 2019
FilterReg: Robust and Efficient Probabilistic Point-Set Registration Using Gaussian Filter and Twist Parameterization CVPR 2019
Probabilistic Permutation Synchronization Using the Riemannian Structure of the Birkhoff Polytope CVPR 2019
ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation CVPR 2019
Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework EMNLP 2019
A Bayesian Approach for Sequence Tagging with Crowds EMNLP 2019