zhang64-llnl / Mix-n-Match-CalibrationLinks
☆37Updated 4 years ago
Alternatives and similar repositories for Mix-n-Match-Calibration
Users that are interested in Mix-n-Match-Calibration are comparing it to the libraries listed below
Sorting:
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆87Updated 3 years ago
- ☆46Updated 2 years ago
- Official PyTorch implementation of "Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error"☆36Updated last year
- ☆58Updated 3 years ago
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆24Updated 3 years ago
- Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.☆54Updated 2 years ago
- ☆25Updated 3 years ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆53Updated 4 years ago
- ☆36Updated 4 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆122Updated 3 years ago
- ☆18Updated 3 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- ☆31Updated 3 years ago
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆31Updated 2 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆160Updated last year
- ☆42Updated 6 years ago
- Work on Evidential Deep Learning to Quantify Classification Uncertainty☆60Updated 6 years ago
- NumPy library for calibration metrics☆73Updated 5 months ago
- ☆84Updated last year
- Active and Sample-Efficient Model Evaluation☆24Updated 2 months ago
- Robust Out-of-distribution Detection in Neural Networks☆73Updated 3 years ago
- Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift☆34Updated 2 years ago
- LISA for ICML 2022☆50Updated 2 years ago
- Generalizing to unseen domains via distribution matching☆72Updated 4 years ago
- Last-layer Laplace approximation code examples☆82Updated 3 years ago
- Code for the paper Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift☆38Updated 4 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆42Updated last year
- Learning Representations that Support Robust Transfer of Predictors☆20Updated 3 years ago
- Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)☆99Updated 3 years ago
- Code for Neural Manifold Clustering and Embedding☆60Updated 3 years ago