VectorInstitute / laftr
Learning Adversarially Fair and Transferable Representations
☆54Updated 6 years ago
Alternatives and similar repositories for laftr
Users that are interested in laftr are comparing it to the libraries listed below
Sorting:
- Fair Empirical Risk Minimization (FERM)☆37Updated 4 years ago
- ☆22Updated 6 years ago
- ☆50Updated 2 years ago
- ☆22Updated 5 years ago
- Code and data for the experiments in "On Fairness and Calibration"☆51Updated 3 years ago
- This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).☆49Updated 3 years ago
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆128Updated 3 years ago
- Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments☆74Updated 2 years ago
- General fair regression subject to demographic parity constraint. Paper appeared in ICML 2019.☆15Updated 4 years ago
- ☆37Updated 2 years ago
- Coresets via Bilevel Optimization☆65Updated 4 years ago
- Regularized Learning under label shifts☆18Updated 6 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆86Updated 5 years ago
- Implementation of Minimax Pareto Fairness framework☆21Updated 4 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆50Updated 3 years ago
- ☆44Updated 3 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 years ago
- ☆64Updated 4 years ago
- Codebase for "Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains Its Predictions" (to appear in AA…☆75Updated 7 years ago
- ☆62Updated 3 years ago
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆42Updated 3 years ago
- Tilted Empirical Risk Minimization (ICLR '21)☆59Updated last year
- An Investigation of Why Overparameterization Exacerbates Spurious Correlations☆31Updated 4 years ago
- ☆122Updated 11 months ago
- Explaining a black-box using Deep Variational Information Bottleneck Approach☆46Updated 2 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆42Updated last year
- Binary classification algorithm under fairness considerations.☆9Updated 2 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆49Updated 4 years ago
- ☆125Updated 4 years ago
- Python code for training fair logistic regression classifiers.☆189Updated 3 years ago