BatsResearch / taglets
☆18Updated last year
Alternatives and similar repositories for taglets:
Users that are interested in taglets are comparing it to the libraries listed below
- A weak supervision framework for (partial) labeling functions☆15Updated 6 months ago
- ☆35Updated last year
- Extended Few-Shot Learning: Exploiting Existing Resources for Novel Tasks☆11Updated 3 years ago
- Fast Axiomatic Attribution for Neural Networks (NeurIPS*2021)☆15Updated last year
- Data for "Datamodels: Predicting Predictions with Training Data"☆94Updated last year
- ☆28Updated 6 months ago
- Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)☆79Updated last year
- ☆86Updated last year
- Code for "Training Neural Networks with Fixed Sparse Masks" (NeurIPS 2021).☆58Updated 3 years ago
- ☆58Updated 3 years ago
- If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions☆15Updated 9 months ago
- Official code repo for paper "Great Memory, Shallow Reasoning: Limits of kNN-LMs"☆21Updated 5 months ago
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Updated 4 years ago
- ☆35Updated 2 years ago
- Code for "Tracing Knowledge in Language Models Back to the Training Data"☆37Updated 2 years ago
- ☆52Updated last year
- ☆21Updated last year
- ☆55Updated 4 years ago
- A system for prompted weak supervision. Alfred is a powerful tool that leverages large language models to accelerate data annotation.☆52Updated 3 months ago
- Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.☆39Updated 9 months ago
- ☆39Updated 2 years ago
- ☆62Updated 3 years ago
- Code for the paper "Data Feedback Loops: Model-driven Amplification of Dataset Biases"☆15Updated 2 years ago
- Code for paper "Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs"☆28Updated 2 years ago
- Code for gradient rollback, which explains predictions of neural matrix factorization models, as for example used for knowledge base comp…☆21Updated 3 years ago
- Few-shot Learning with Auxiliary Data☆26Updated last year
- ☆19Updated 2 years ago
- Code Release for "Broken Neural Scaling Laws" (BNSL) paper☆57Updated last year
- ☆28Updated last year
- Official PyTorch implementation of "Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data" (NeurIPS'23)☆15Updated last year