YilunZhou / optimal-active-learningLinks
Code repository for the AISTATS 2021 paper "Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms"
☆15Updated 4 years ago
Alternatives and similar repositories for optimal-active-learning
Users that are interested in optimal-active-learning are comparing it to the libraries listed below
Sorting:
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 4 years ago
- Active and Sample-Efficient Model Evaluation☆26Updated 7 months ago
- The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.☆40Updated 3 years ago
- Fine-grained ImageNet annotations☆30Updated 5 years ago
- Official code for the paper: "Metadata Archaeology"☆19Updated 2 years ago
- (ICML 2021) Mandoline: Model Evaluation under Distribution Shift☆30Updated 4 years ago
- Fast Axiomatic Attribution for Neural Networks (NeurIPS*2021)☆16Updated 2 years ago
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆31Updated 2 years ago
- ModelDiff: A Framework for Comparing Learning Algorithms☆58Updated 2 years ago
- ☆37Updated 3 years ago
- Making Heads or Tails Towards Semantically Consistent Visual Counterfactuals☆30Updated 3 years ago
- Supercharging Imbalanced Data Learning WithCausal Representation Transfer☆12Updated 4 years ago
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Updated 5 years ago
- ☆42Updated 5 years ago
- Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift☆35Updated 2 years ago
- Improving Transformation Invariance in Contrastive Representation Learning☆13Updated 4 years ago
- A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in y…☆44Updated 3 years ago
- Implementation of the spotlight: a method for discovering systematic errors in deep learning models☆11Updated 4 years ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 3 years ago
- Label shift experiments☆17Updated 5 years ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆42Updated 3 years ago
- Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI☆55Updated 3 years ago
- Experiments for the NeurIPS 2021 paper "Cockpit: A Practical Debugging Tool for the Training of Deep Neural Networks"☆13Updated 4 years ago
- ☆21Updated 5 years ago
- ☆37Updated 2 years ago
- ☆18Updated 4 years ago
- Repository for the PopulAtion Parameter Averaging (PAPA) paper☆29Updated last year
- A simple algorithm to identify and correct for label shift.☆22Updated 7 years ago
- Reproducible code for Augmentation paper☆17Updated 6 years ago
- ☆38Updated last year