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☆224Updated last year
- Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics☆201Updated 3 years ago
- Self-training with Weak Supervision (NAACL 2021)☆160Updated 2 years ago
- Summarize Massive Datasets using Submodular Optimization☆103Updated 2 months ago
- ☆89Updated 3 months ago
- "Understanding Dataset Difficulty with V-Usable Information" (ICML 2022, outstanding paper)☆87Updated last year
- A curated list of awesome datasets with human label variation (un-aggregated labels) in Natural Language Processing and Computer Vision, …☆92Updated last year
- A python package for benchmarking interpretability techniques on Transformers.☆214Updated 10 months ago
- Uncertainty-aware Self-training☆121Updated 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
- Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.☆53Updated 2 years ago
- ☆97Updated 2 years ago
- ☆139Updated last year
- Weakly Supervised End-to-End Learning (NeurIPS 2021)☆157Updated 2 years ago
- Code for the EMNLP 2021 Paper "Active Learning by Acquiring Contrastive Examples" & the ACL 2022 Paper "On the Importance of Effectively …☆126Updated 3 years ago
- ☆40Updated last year
- DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.☆153Updated 2 years ago
- Enabling easy statistical significance testing for deep neural networks.☆336Updated last year
- Official Code Repo for the Paper: "How does This Interaction Affect Me? Interpretable Attribution for Feature Interactions", In NeurIPS 2…☆39Updated 2 years ago
- A benchmark of data-centric tasks from across the machine learning lifecycle.☆72Updated 3 years ago
- Learning the Difference that Makes a Difference with Counterfactually-Augmented Data☆170Updated 4 years ago
- Code accompanying EMNLP 2020 paper "Cold-start Active Learning through Self-supervised Language Modeling".☆40Updated 4 years ago
- Uncertainty Quantification with Pre-trained Language Models: An Empirical Analysis☆15Updated 2 years ago
- A fast, effective data attribution method for neural networks in PyTorch☆214Updated 8 months ago
- ☆78Updated 10 months ago
- Repository for research in the field of Responsible NLP at Meta.☆202Updated 2 months ago
- Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments☆74Updated 2 years ago
- ☆32Updated 3 years ago
- Lightweight implementations of generative label models for weakly supervised machine learning☆22Updated last year
- A Diagnostic Study of Explainability Techniques for Text Classification☆68Updated 4 years ago