JieyuZ2 / Awesome-Weak-SupervisionLinks
A curated list of programmatic weak supervision papers and resources
☆190Updated 2 years ago
Alternatives and similar repositories for Awesome-Weak-Supervision
Users that are interested in Awesome-Weak-Supervision are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2021] WRENCH: Weak supeRvision bENCHmark☆223Updated last year
- Weakly Supervised End-to-End Learning (NeurIPS 2021)☆157Updated 2 years ago
- Self-training with Weak Supervision (NAACL 2021)☆160Updated last year
- Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics☆199Updated 2 years ago
- A python package for benchmarking interpretability techniques on Transformers.☆211Updated 8 months ago
- "Understanding Dataset Difficulty with V-Usable Information" (ICML 2022, outstanding paper)☆86Updated last year
- [NAACL 2021] This is the code for our paper `Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self…☆203Updated 2 years ago
- Uncertainty-aware Self-training☆121Updated last year
- ☆89Updated last month
- ☆138Updated last year
- DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.☆150Updated 2 years ago
- Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratc…☆150Updated 2 years ago
- Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.☆53Updated 2 years ago
- A benchmark of data-centric tasks from across the machine learning lifecycle.☆72Updated 2 years ago
- A curated list of awesome datasets with human label variation (un-aggregated labels) in Natural Language Processing and Computer Vision, …☆83Updated last year
- Learning the Difference that Makes a Difference with Counterfactually-Augmented Data☆170Updated 4 years ago
- ☆24Updated 2 years ago
- ☆35Updated 3 years ago
- Code associated with the paper "Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists"☆48Updated 3 years ago
- ☆97Updated 2 years ago
- A fast, effective data attribution method for neural networks in PyTorch☆211Updated 6 months ago
- ☆60Updated 2 years ago
- A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.☆565Updated last year
- Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments☆74Updated 2 years ago
- Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using co…☆330Updated 2 years ago
- A PyTorch-based open-source framework that provides methods for improving the weakly annotated data and allows researchers to efficiently…☆108Updated 8 months ago
- Fairness toolkit for pytorch, scikit learn and autogluon☆32Updated 5 months ago
- Awesome coreset/core-set/subset/sample selection works.☆175Updated 11 months ago
- Summarize Massive Datasets using Submodular Optimization☆101Updated 2 weeks ago
- Code accompanying EMNLP 2020 paper "Cold-start Active Learning through Self-supervised Language Modeling".☆40Updated 4 years ago