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  • Quickstart
  • Tutorials
  • CLI Guide
  • API Reference
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  • Installation
  • Quickstart
  • Tutorials
  • CLI Guide
  • API Reference
  • Contributing
  • References
  • GitHub

Section Navigation

  • Classification
    • Training a LeNet for Image Classification with TorchUncertainty
    • Evaluating Model Performance Under Distribution Shift with TorchUncertainty
    • Deep Evidential Classification on a Toy Example
    • Out-of-distribution detection with TorchUncertainty
    • From a Standard Classifier to a Packed-Ensemble
  • Regression with Uncertainty
    • Deep Evidential Regression on a Toy Example
    • Deep Probabilistic Regression
    • Training an MLP for Tabular Regression with TorchUncertainty
  • Post-hoc Methods
    • Conformal Prediction on CIFAR-10 with TorchUncertainty
    • Improve Top-label Calibration with Temperature Scaling
  • Bayesian Methods
    • Training a Bayesian Neural Network in 20 seconds
    • Training a LeNet with Monte Carlo Batch Normalization
    • Training a LeNet with Monte-Carlo Dropout
    • Monte Carlo Dropout for Semantic Segmentation on MUAD
  • Ensemble Methods
    • Improved Ensemble parameter-efficiency with Packed-Ensembles
  • Segmentation
    • Deep ensembles Segmentation Tutorial using Muad Dataset
    • Packed ensembles Segmentation Tutorial using Muad Dataset
    • Segmentation Tutorial using Muad Dataset
  • Data Augmentation
    • Corrupting Images with TorchUncertainty to Benchmark Robustness
  • Tutorials
  • Ensemble Methods

Ensemble Methods#

Tutorials for ensemble-based techniques to improve uncertainty estimation.

Improved Ensemble parameter-efficiency with Packed-Ensembles

Improved Ensemble parameter-efficiency with Packed-Ensembles

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Monte Carlo Dropout for Semantic Segmentation on MUAD

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Improved Ensemble parameter-efficiency with Packed-Ensembles

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