| Wide-angle Image Rectification: A Survey | Oct 30, 2020 | 3D ReconstructionAutonomous Driving | CodeCode Available | 1 |
| Hyperspectral Image Super-Resolution via Deep Prior Regularization with Parameter Estimation | Sep 9, 2020 | Hyperspectral Image Super-ResolutionImage Super-Resolution | CodeCode Available | 1 |
| Who Left the Dogs Out? 3D Animal Reconstruction with Expectation Maximization in the Loop | Jul 21, 2020 | parameter estimation | CodeCode Available | 1 |
| A new method for parameter estimation in probabilistic models: Minimum probability flow | Jul 17, 2020 | parameter estimation | CodeCode Available | 1 |
| Image Processing and Quality Control for Abdominal Magnetic Resonance Imaging in the UK Biobank | Jul 2, 2020 | parameter estimation | CodeCode Available | 1 |
| ADD: Analytically Differentiable Dynamics for Multi-Body Systems with Frictional Contact | Jul 2, 2020 | Motion Planningparameter estimation | CodeCode Available | 1 |
| Prior choice affects ability of Bayesian neural networks to identify unknowns | May 11, 2020 | parameter estimation | CodeCode Available | 1 |
| Physics-Informed Neural Networks for Non-linear System Identification for Power System Dynamics | Apr 8, 2020 | parameter estimation | CodeCode Available | 1 |
| A Graduated Filter Method for Large Scale Robust Estimation | Mar 20, 2020 | parameter estimation | CodeCode Available | 1 |
| BayesFlow: Learning complex stochastic models with invertible neural networks | Mar 13, 2020 | Bayesian InferenceEpidemiology | CodeCode Available | 1 |
| Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting | Feb 24, 2020 | parameter estimationTwo-sample testing | CodeCode Available | 1 |
| Manifold Mixup improves text recognition with CTC loss | Mar 11, 2019 | Data AugmentationGeneral Classification | CodeCode Available | 1 |
| Enhancing Discrete Choice Models with Representation Learning | Dec 23, 2018 | Discrete Choice Modelsparameter estimation | CodeCode Available | 1 |
| Analyzing Federated Learning through an Adversarial Lens | Nov 29, 2018 | Federated LearningModel Poisoning | CodeCode Available | 1 |
| Variational Noise-Contrastive Estimation | Oct 18, 2018 | parameter estimationVariational Inference | CodeCode Available | 1 |
| Variational Autoencoders for Collaborative Filtering | Feb 16, 2018 | Bayesian InferenceCollaborative Filtering | CodeCode Available | 1 |
| Finite-dimensional Gaussian approximation with linear inequality constraints | Oct 20, 2017 | parameter estimationUncertainty Quantification | CodeCode Available | 1 |
| Stable Architectures for Deep Neural Networks | May 9, 2017 | Deep Learningparameter estimation | CodeCode Available | 1 |
| Convolutional neural network architecture for geometric matching | Mar 16, 2017 | Geometric Matchingparameter estimation | CodeCode Available | 1 |
| Learning Latent Vector Spaces for Product Search | Aug 25, 2016 | Learning-To-Rankparameter estimation | CodeCode Available | 1 |
| End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture | Aug 14, 2015 | General Classificationparameter estimation | CodeCode Available | 1 |
| SAME but Different: Fast and High-Quality Gibbs Parameter Estimation | Sep 18, 2014 | Bayesian Inferenceparameter estimation | CodeCode Available | 1 |
| Probabilistic Inductive Logic Programming Based on Answer Set Programming | May 4, 2014 | Inductive logic programmingparameter estimation | CodeCode Available | 1 |
| Minimum Probability Flow Learning | Jun 25, 2009 | parameter estimation | CodeCode Available | 1 |
| Latent Dirichlet Allocation | Jan 1, 2003 | Collaborative Filteringparameter estimation | CodeCode Available | 1 |
