torrvision / focal_calibrationLinks
Code for the paper "Calibrating Deep Neural Networks using Focal Loss"
☆160Updated last year
Alternatives and similar repositories for focal_calibration
Users that are interested in focal_calibration are comparing it to the libraries listed below
Sorting:
- NumPy library for calibration metrics☆73Updated 4 months ago
- Calibration of Convolutional Neural Networks☆166Updated 2 years ago
- Last-layer Laplace approximation code examples☆82Updated 3 years ago
- ☆66Updated 5 years ago
- Reliability diagrams visualize whether a classifier model needs calibration☆153Updated 3 years ago
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…☆150Updated 2 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆142Updated 2 years ago
- Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.☆54Updated 2 years ago
- Robust Out-of-distribution Detection in Neural Networks☆73Updated 3 years ago
- Reusable BatchBALD implementation☆79Updated last year
- Code for "Supermasks in Superposition"☆124Updated last year
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆87Updated 3 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆272Updated 3 years ago
- Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)☆98Updated 3 years ago
- Original dataset release for CIFAR-10H☆83Updated 4 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆112Updated 3 years ago
- Implementation of Barlow Twins paper☆99Updated 2 years ago
- A way to achieve uniform confidence far away from the training data.☆38Updated 4 years ago
- ☆21Updated 2 years ago
- Combating hidden stratification with GEORGE☆63Updated 4 years ago
- ☆58Updated 3 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- Official PyTorch implementation of "Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error"☆36Updated last year
- Belief matching framework official implementation☆40Updated 2 years ago
- Addressing Failure Prediction by Learning Model Confidence☆173Updated 2 years ago
- Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.☆176Updated last year
- Official implementation of paper Gradient Matching for Domain Generalization☆122Updated 3 years ago
- ☆37Updated 4 years ago
- Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…☆127Updated 4 years ago
- Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true cla…☆242Updated 2 years ago