fgranese / DOCTORLinks
Advances in Neural Information Processing Systems (NeurIPS 2021)
☆22Updated 3 years ago
Alternatives and similar repositories for DOCTOR
Users that are interested in DOCTOR are comparing it to the libraries listed below
Sorting:
- ModelDiff: A Framework for Comparing Learning Algorithms☆58Updated 2 years ago
- Recycling diverse models☆46Updated 3 years ago
- This repository holds code and other relevant files for the NeurIPS 2022 tutorial: Foundational Robustness of Foundation Models.☆72Updated 3 years ago
- ☆32Updated 2 years ago
- Contains notebooks for the PAR tutorial at CVPR 2021.☆36Updated 4 years ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆43Updated 3 years ago
- Active and Sample-Efficient Model Evaluation☆26Updated 7 months ago
- Do input gradients highlight discriminative features? [NeurIPS 2021] (https://arxiv.org/abs/2102.12781)☆13Updated 3 years ago
- Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training wi…☆54Updated 4 years ago
- ☆18Updated 3 years ago
- ☆16Updated 2 years ago
- LISA for ICML 2022☆52Updated 2 years ago
- Data for "Datamodels: Predicting Predictions with Training Data"☆97Updated 2 years ago
- ☆38Updated 4 years ago
- ☆96Updated 3 years ago
- ☆34Updated 7 months ago
- ☆47Updated 3 years ago
- ☆36Updated 3 years ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 3 years ago
- Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.☆44Updated 2 months ago
- Domain Adaptation☆23Updated 4 years ago
- Distilling Model Failures as Directions in Latent Space☆47Updated 2 years ago
- Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift☆35Updated 2 years ago
- Official repo for the paper "Make Some Noise: Reliable and Efficient Single-Step Adversarial Training" (https://arxiv.org/abs/2202.01181)☆25Updated 3 years ago
- (ICML 2021) Mandoline: Model Evaluation under Distribution Shift☆30Updated 4 years ago
- Code for Overinterpretation paper☆19Updated 2 years ago
- A benchmark of data-centric tasks from across the machine learning lifecycle.☆71Updated 3 years ago
- Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"☆21Updated 4 years ago
- Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"☆19Updated 3 years ago
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Updated 5 years ago