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awesome-weak-supervision
https://github.com/michael-aloys/awesome-weak-supervision
- WeaSuL Workshop on Weakly Supervised Learning
- A brief introduction to weakly supervised learning
- A Visual Guide to Low-Resource NLP - resource NLP techniques including different weak supervision methods.
- Image Classification with Deep Learning in the Presence of Noisy Labels: A Survey
- A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios
- A Brief Survey of Relation Extraction Based on Distant Supervision
- Relation Extraction Using Distant Supervision: A Survey
- A Survey of Noise Reduction Methods for Distant Supervision
- Distant Supervision for Relation Extraction Without Labeled Data
- Data Programming: Creating Large Training Sets, Quickly
- Practical Weak Supervision: Doing More with Less Data
- Cleanlab
- Knodle
- Snorkel
- ANEA
- Sweak
- NoisyNER. Analysing the Noise Model Error for Realistic Noisy Label Data
- Learning from Rules Generalizing Labeled Exemplars
- Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels
- Learning with Noisy Labels for Sentence-level Sentiment Classification
- Food-101N. CleanNet: Transfer Learning for Scalable Image Classifier Training With Label Noise
- Cross-lingual Name Tagging and Linking for 282 Languages
- WebVision. WebVision Database: Visual Learning and Understanding from Web Data
- Clothing1M. Learning From Massive Noisy Labeled Data for Image Classification
- TinyImages. 80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition
Keywords
python
3
weak-supervision
3
ai
2
machine-learning
2
training-data
2
data-science
2
snorkel
2
classification
1
denoising-methods
1
knodle
1
natural-language-procressing
1
pytorch
1
relation-extraction
1
weakly-supervised-learning
1
data-augmentation
1
data-slicing
1
labeling
1
distant-supervision
1
natural-language-processing
1
nlp-library
1
nlp-machine-learning
1
spacy
1