cianeastwood / qrmLinks
Quantile risk minimization
☆24Updated last year
Alternatives and similar repositories for qrm
Users that are interested in qrm are comparing it to the libraries listed below
Sorting:
- Learning Representations that Support Robust Transfer of Predictors☆20Updated 4 years ago
- Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)☆28Updated 3 years ago
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆24Updated 3 years ago
- Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift☆35Updated 2 years ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆36Updated last year
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆37Updated 3 years ago
- ☆36Updated 4 years ago
- ☆83Updated 2 years ago
- ☆38Updated 5 years ago
- ☆31Updated 4 years ago
- Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"☆35Updated 2 years ago
- ☆32Updated 7 years ago
- Robust Optimal Transport code☆43Updated 3 years ago
- Code for Neural Manifold Clustering and Embedding☆61Updated 3 years ago
- ☆18Updated 4 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78Updated 3 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 4 years ago
- Generalizing to unseen domains via distribution matching☆72Updated 5 years ago
- Code Release for Learning to Adapt to Evolving Domains☆31Updated 4 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆122Updated 3 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆88Updated 3 years ago
- ☆21Updated 3 years ago
- Last-layer Laplace approximation code examples☆83Updated 4 years ago
- Implementation of the paper "Understanding anomaly detection with deep invertible networks through hierarchies of distributions and featu…☆42Updated 5 years ago
- ☆46Updated 2 years ago
- Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness☆48Updated 4 years ago
- Model Zoos for Continual Learning (ICLR 22)☆45Updated 2 years ago
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆38Updated 3 years ago
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆31Updated 2 years ago
- Code for experiments to learn uncertainty☆30Updated 2 years ago