dmadras / predict-responsiblyLinks
☆14Updated last year
Alternatives and similar repositories for predict-responsibly
Users that are interested in predict-responsibly are comparing it to the libraries listed below
Sorting:
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆42Updated 3 years ago
- ☆63Updated 5 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆91Updated 5 years ago
- An Empirical Study of Invariant Risk Minimization☆27Updated 5 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆42Updated 2 years ago
- Codebase for "Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains Its Predictions" (to appear in AA…☆76Updated 7 years ago
- ☆62Updated 4 years ago
- ☆37Updated 2 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆72Updated last year
- Fair Empirical Risk Minimization (FERM)☆37Updated 5 years ago
- ☆43Updated 7 years ago
- Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments☆75Updated 2 years ago
- The Pitfalls of Simplicity Bias in Neural Networks [NeurIPS 2020] (http://arxiv.org/abs/2006.07710v2)☆41Updated last year
- General fair regression subject to demographic parity constraint. Paper appeared in ICML 2019.☆16Updated 5 years ago
- Explaining a black-box using Deep Variational Information Bottleneck Approach☆46Updated 2 years ago
- ☆50Updated 2 years ago
- Explaining Image Classifiers by Counterfactual Generation☆28Updated 3 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 years ago
- ☆34Updated 4 years ago
- Code/figures in Right for the Right Reasons☆57Updated 4 years ago
- code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"☆53Updated 3 years ago
- Source code for paper Mroueh, Sercu, Rigotti, Padhi, dos Santos, "Sobolev Independence Criterion", NeurIPS 2019☆14Updated last year
- ☆46Updated 2 years ago
- ☆44Updated 3 years ago
- Code for the paper "Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers" published in ICLR 2019☆14Updated 6 years ago
- Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…☆128Updated 4 years ago
- A way to achieve uniform confidence far away from the training data.☆38Updated 4 years ago
- ☆38Updated 4 years ago
- Python codes for influential instance estimation☆56Updated 2 years ago
- Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.☆175Updated 2 years ago