HazyResearch / hidden-stratification
Combating hidden stratification with GEORGE
☆63Updated 3 years ago
Alternatives and similar repositories for hidden-stratification:
Users that are interested in hidden-stratification are comparing it to the libraries listed below
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Updated 4 years ago
- Algorithms for abstention, calibration and domain adaptation to label shift.☆36Updated 4 years ago
- The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.☆40Updated 2 years ago
- Reusable BatchBALD implementation☆78Updated last year
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆85Updated 2 years ago
- Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)☆96Updated 2 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- ☆44Updated 2 years ago
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆40Updated 2 years ago
- NumPy library for calibration metrics☆69Updated last month
- Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction☆35Updated 2 years ago
- ☆34Updated 4 years ago
- ☆27Updated 7 months ago
- Active and Sample-Efficient Model Evaluation☆24Updated 4 years ago
- Wasserstein Adversarial Active Learning☆29Updated 4 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆160Updated last year
- ☆17Updated 4 years ago
- A Domain-Agnostic Benchmark for Self-Supervised Learning☆107Updated last year
- Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI☆54Updated 2 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆42Updated last year
- ☆51Updated 4 years ago
- ☆46Updated 4 years ago
- An Empirical Framework for Domain Generalization In Clinical Settings☆30Updated 3 years ago
- This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…☆81Updated 3 weeks ago
- ☆34Updated 4 years ago
- Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.☆55Updated 2 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆137Updated last year
- Estimating Example Difficulty using Variance of Gradients☆63Updated 2 years ago
- (ICML 2021) Mandoline: Model Evaluation under Distribution Shift☆31Updated 3 years ago
- ☆54Updated 4 years ago