fgranese / DOCTOR
Advances in Neural Information Processing Systems (NeurIPS 2021)
☆22Updated 2 years ago
Alternatives and similar repositories for DOCTOR:
Users that are interested in DOCTOR are comparing it to the libraries listed below
- ModelDiff: A Framework for Comparing Learning Algorithms☆54Updated last year
- Recycling diverse models☆44Updated 2 years ago
- ☆28Updated last year
- Code for Overinterpretation paper☆19Updated last year
- (ICML 2021) Mandoline: Model Evaluation under Distribution Shift☆31Updated 3 years ago
- Active and Sample-Efficient Model Evaluation☆24Updated 3 years ago
- Github for the conference paper GLOD-Gaussian Likelihood OOD detector☆16Updated 2 years ago
- ☆17Updated 2 years ago
- ☆44Updated 2 years ago
- Data for "Datamodels: Predicting Predictions with Training Data"☆94Updated last year
- Domain Adaptation☆23Updated 3 years ago
- ☆18Updated 3 years ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 2 years ago
- Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.☆39Updated 9 months ago
- Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"☆22Updated 3 years ago
- Official PyTorch implementation of "Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data" (NeurIPS'23)☆15Updated last year
- This repository holds code and other relevant files for the NeurIPS 2022 tutorial: Foundational Robustness of Foundation Models.☆70Updated 2 years ago
- Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training wi…☆52Updated 3 years ago
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆29Updated 2 years ago
- ☆11Updated 2 years ago
- LISA for ICML 2022☆47Updated last year
- ☆16Updated last year
- ☆34Updated 2 years ago
- Do input gradients highlight discriminative features? [NeurIPS 2021] (https://arxiv.org/abs/2102.12781)☆13Updated 2 years ago
- PyTorch reimplementation of computing Shapley values via Truncated Monte Carlo sampling from "What is your data worth? Equitable Valuatio…☆25Updated 3 years ago
- Measuring data importance over ML pipelines using the Shapley value.☆37Updated 3 months ago
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Updated 4 years ago
- ☆26Updated last year
- Contains notebooks for the PAR tutorial at CVPR 2021.☆36Updated 3 years ago
- A regularized self-labeling approach to improve the generalization and robustness of fine-tuned models☆28Updated 2 years ago