kundajelab / abstention
Algorithms for abstention, calibration and domain adaptation to label shift.
☆36Updated 4 years ago
Alternatives and similar repositories for abstention:
Users that are interested in abstention are comparing it to the libraries listed below
- Reusable BatchBALD implementation☆77Updated 11 months ago
- Combating hidden stratification with GEORGE☆62Updated 3 years ago
- ☆64Updated 4 years ago
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆128Updated 3 years ago
- An Empirical Study of Invariant Risk Minimization☆27Updated 4 years ago
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆42Updated 3 years ago
- Active and Sample-Efficient Model Evaluation☆24Updated 3 years ago
- ☆124Updated 3 years ago
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Updated 4 years ago
- Label shift experiments☆15Updated 4 years ago
- ☆34Updated 4 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆41Updated last year
- Regularized Learning under label shifts☆18Updated 5 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- Code/figures in Right for the Right Reasons☆55Updated 4 years ago
- Codebase for Learning Invariances in Neural Networks☆93Updated 2 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 2 years ago
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…☆144Updated 2 years ago
- OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)☆62Updated last year
- MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space☆40Updated 4 years ago
- ☆34Updated 3 years ago
- ☆19Updated 6 years ago
- Code for "Neural causal learning from unknown interventions"☆100Updated 4 years ago
- Code for "Generative causal explanations of black-box classifiers"☆33Updated 4 years ago
- Explaining Image Classifiers by Counterfactual Generation☆28Updated 2 years ago
- ☆133Updated 5 years ago
- Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling☆31Updated 3 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆159Updated last year
- Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)☆96Updated 2 years ago
- Code for paper EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE☆37Updated last year