kundajelab / labelshiftexperiments
Label shift experiments
☆16Updated 4 years ago
Alternatives and similar repositories for labelshiftexperiments:
Users that are interested in labelshiftexperiments are comparing it to the libraries listed below
- MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space☆40Updated 4 years ago
- ☆35Updated 4 years ago
- A simple algorithm to identify and correct for label shift.☆21Updated 7 years ago
- ☆31Updated 3 years ago
- Official PyTorch implementation of "Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error"☆34Updated last year
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Updated 4 years ago
- (ICML 2021) Mandoline: Model Evaluation under Distribution Shift☆31Updated 3 years ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 2 years ago
- An Empirical Study of Invariant Risk Minimization☆27Updated 4 years ago
- Active and Sample-Efficient Model Evaluation☆24Updated 4 years ago
- A regularized self-labeling approach to improve the generalization and robustness of fine-tuned models☆28Updated 2 years ago
- ICML 2020, Estimating Generalization under Distribution Shifts via Domain-Invariant Representations☆23Updated 4 years ago
- ☆25Updated 4 years ago
- An uncertainty-based random sampling algorithm for data augmentation☆30Updated 4 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- Github for the conference paper GLOD-Gaussian Likelihood OOD detector☆16Updated 3 years ago
- This repository provides the code for replicating the experiments in the paper "Building One-Shot Semi-supervised (BOSS) Learning up to F…☆36Updated 4 years ago
- The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.☆40Updated 3 years ago
- Regularized Learning under label shifts☆18Updated 6 years ago
- ☆18Updated 3 years ago
- Supercharging Imbalanced Data Learning WithCausal Representation Transfer☆12Updated 3 years ago
- This repository contains the code used in a publication 'Active Learning for Decision-Making from Imbalanced Observational Data', Iiris S…☆11Updated 5 years ago
- Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction☆35Updated 2 years ago
- Algorithms for abstention, calibration and domain adaptation to label shift.☆36Updated 4 years ago
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25Updated 6 years ago
- Non-Parametric Calibration for Classification (AISTATS 2020)☆19Updated 3 years ago
- Domain Adaptation☆23Updated 3 years ago
- Reproducible code for Augmentation paper☆17Updated 6 years ago
- [NeurIPS 2020] Coresets for Robust Training of Neural Networks against Noisy Labels☆34Updated 4 years ago
- Code for "Supermasks in Superposition"☆123Updated last year