kartikgupta-at-anu / spline-calibration
Code implementation of our ICLR'21 paper "Calibration of Neural Networks using Splines"
☆22Updated 2 years ago
Alternatives and similar repositories for spline-calibration:
Users that are interested in spline-calibration are comparing it to the libraries listed below
- Model-agnostic posthoc calibration without distributional assumptions☆42Updated last year
- NumPy library for calibration metrics☆72Updated 2 months ago
- ☆21Updated 2 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆42Updated last year
- Python package for evaluating model calibration in classification☆20Updated 5 years ago
- ☆35Updated 4 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆161Updated last year
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆71Updated 11 months ago
- Code for the paper Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift☆37Updated 4 years ago
- Regularized Learning under label shifts☆18Updated 6 years ago
- ☆12Updated 2 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆86Updated 2 years ago
- Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"☆36Updated 2 years ago
- A way to achieve uniform confidence far away from the training data.☆38Updated 4 years ago
- ☆23Updated 2 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆50Updated 3 years ago
- ☆45Updated 2 years ago
- Combating hidden stratification with GEORGE☆63Updated 3 years ago
- ☆19Updated 6 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆121Updated 3 years ago
- Official PyTorch implementation of "Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error"☆34Updated last year
- The Pitfalls of Simplicity Bias in Neural Networks [NeurIPS 2020] (http://arxiv.org/abs/2006.07710v2)☆39Updated last year
- ☆55Updated 4 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆112Updated 2 years ago
- ☆64Updated 4 years ago
- Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training wi…☆53Updated 3 years ago
- Source code of "What can linearized neural networks actually say about generalization?☆20Updated 3 years ago
- Last-layer Laplace approximation code examples☆83Updated 3 years ago
- Non-Parametric Calibration for Classification (AISTATS 2020)☆19Updated 3 years ago
- An Investigation of Why Overparameterization Exacerbates Spurious Correlations☆31Updated 4 years ago