kundajelab / abstentionLinks
Algorithms for abstention, calibration and domain adaptation to label shift.
β37Updated 4 years ago
Alternatives and similar repositories for abstention
Users that are interested in abstention are comparing it to the libraries listed below
Sorting:
- Combating hidden stratification with GEORGEβ64Updated 4 years ago
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" π§ (ICLR 2019)β129Updated 4 years ago
- Tools for training explainable models using attribution priors.β124Updated 4 years ago
- Reusable BatchBALD implementationβ79Updated last year
- β124Updated 4 years ago
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentationβ42Updated 4 years ago
- Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" htβ¦β128Updated 4 years ago
- Code/figures in Right for the Right Reasonsβ56Updated 4 years ago
- β134Updated 6 years ago
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.β42Updated 3 years ago
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotligβ¦β151Updated 2 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"β160Updated last year
- Code for paper EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAEβ40Updated 2 years ago
- OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)β62Updated last year
- An implementation of MixMatch with PyTorchβ36Updated 4 years ago
- A repository for explaining feature attributions and feature interactions in deep neural networks.β188Updated 3 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, β¦β112Updated 6 years ago
- Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)β100Updated 3 years ago
- β112Updated 2 years ago
- code release for Representer point Selection for Explaining Deep Neural Network in NeurIPS 2018β67Updated 4 years ago
- Codebase for "Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains Its Predictions" (to appear in AAβ¦β75Updated 7 years ago
- To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective tβ¦β177Updated 2 years ago
- On disentangling the menagerie of disentanglement papersβ27Updated 5 years ago
- This is the pytorch implementation of the paper - Axiomatic Attribution for Deep Networks.β186Updated 3 years ago
- Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.β242Updated last year
- The Synbols dataset generator is a ServiceNow Research project that was started at Element AI.β45Updated 2 years ago
- Explaining Image Classifiers by Counterfactual Generationβ28Updated 3 years ago
- An Empirical Study of Invariant Risk Minimizationβ27Updated 5 years ago
- Code for "Neural causal learning from unknown interventions"β104Updated 5 years ago
- β63Updated 4 years ago