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☆225Updated last year
- Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics☆205Updated 3 years ago
- Self-training with Weak Supervision (NAACL 2021)☆162Updated 2 years ago
- A python package for benchmarking interpretability techniques on Transformers.☆213Updated last year
- A curated list of awesome datasets with human label variation (un-aggregated labels) in Natural Language Processing and Computer Vision, …☆93Updated last year
- ☆40Updated 2 years ago
- ☆139Updated 2 years ago
- Weakly Supervised End-to-End Learning (NeurIPS 2021)☆156Updated 2 years ago
- "Understanding Dataset Difficulty with V-Usable Information" (ICML 2022, outstanding paper)☆88Updated 2 years ago
- [NAACL 2021] This is the code for our paper `Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self…☆205Updated 3 years ago
- Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.☆53Updated 2 years ago
- Uncertainty-aware Self-training☆121Updated last year
- Code for the EMNLP 2021 Paper "Active Learning by Acquiring Contrastive Examples" & the ACL 2022 Paper "On the Importance of Effectively …☆128Updated 3 years ago
- Code associated with the paper "Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists"☆50Updated 3 years ago
- Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratc…☆151Updated 2 years ago
- Summarize Massive Datasets using Submodular Optimization☆116Updated 5 months ago
- Official Code Repo for the Paper: "How does This Interaction Affect Me? Interpretable Attribution for Feature Interactions", In NeurIPS 2…☆40Updated 2 years ago
- ☆40Updated 6 years ago
- ☆97Updated 3 years ago
- Research framework for low resource text classification that allows the user to experiment with classification models and active learning…☆101Updated 3 years ago
- ☆80Updated last year
- Code accompanying EMNLP 2020 paper "Cold-start Active Learning through Self-supervised Language Modeling".☆40Updated 4 years ago
- ☆24Updated 3 years ago
- Repo for Aspire - A scientific document similarity model based on matching fine-grained aspects of scientific papers.☆54Updated 2 years ago
- This repository accompanies our paper “Do Prompt-Based Models Really Understand the Meaning of Their Prompts?”☆85Updated 3 years ago
- Enabling easy statistical significance testing for deep neural networks.☆338Updated last year
- A simple recipe for training and inferencing Transformer architecture for Multi-Task Learning on custom datasets. You can find two approa…☆97Updated 3 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…☆344Updated 2 years ago
- A library for parameter-efficient and composable transfer learning for NLP with sparse fine-tunings.☆75Updated last year
- Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings (EMNLP 2022 paper)☆71Updated 2 years ago