zhang64-llnl / Mix-n-Match-CalibrationLinks
☆38Updated 5 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☆89Updated 3 years ago
- ☆31Updated 4 years ago
- ☆25Updated 3 years ago
- ☆18Updated 4 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
- ☆47Updated 3 years ago
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆25Updated 3 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆73Updated last year
- ☆41Updated 5 years ago
- Generalizing to unseen domains via distribution matching☆73Updated 5 years ago
- ☆57Updated 4 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆123Updated 4 years ago
- Robust Out-of-distribution Detection in Neural Networks☆73Updated 3 years ago
- ☆36Updated 4 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 5 years ago
- Code for Neural Manifold Clustering and Embedding☆61Updated 3 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆161Updated 2 years ago
- NumPy library for calibration metrics☆73Updated 3 months ago
- Official PyTorch implementation of "Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error"☆37Updated 2 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆43Updated 2 years ago
- Code for the ICLR 2022 paper "Attention-based interpretability with Concept Transformers"☆42Updated 4 months ago
- Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)☆101Updated 3 years ago
- Work on Evidential Deep Learning to Quantify Classification Uncertainty☆60Updated 7 years ago
- ☆42Updated 6 years ago
- Last-layer Laplace approximation code examples☆83Updated 4 years ago
- Code for the paper Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift☆39Updated 5 years ago
- Active and Sample-Efficient Model Evaluation☆26Updated 7 months ago
- ☆83Updated 2 years ago
- Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift☆35Updated 2 years ago
- Learning Representations that Support Robust Transfer of Predictors☆20Updated 4 years ago