good first issue
Good for newcomers
code improvement
Codebase improvements to address tech debt / inefficiency / redundancy
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learning-with-noisy-labels
Here are 8 public repositories matching this topic...
Labelling platform for text using weak supervision.
nlp
search-engine
data-science
natural-language-processing
text-mining
text-classification
weak-supervision
ner
nlp-machine-learning
annotation-tool
pseudo-labeling
learning-with-noisy-labels
data-labeling
text-annotation-tool
learning-with-limited-labeled-data
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Updated
Jan 18, 2022 - JavaScript
A curated (most recent) list of resources for Learning with Noisy Labels
deep-neural-networks
deep-learning
conference
paper
weakly-supervised-learning
robustness
international-conference
noisy-data
label-noise
robust-machine-learning
noisy-labels
noisy-label-learning
learning-with-noisy-labels
unreliable-labels
robust-learning
learning-with-label-noise
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Updated
Apr 15, 2022
This is the code for our paper `Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach' (In Proc. of NAACL-HLT 2021).
text-classification
weak-supervision
dataset
self-training
language-model
slot-filling
weakly-supervised-learning
fine-tuning
pseudo-labeling
roberta
learning-with-noisy-labels
agnews
sentence-pair-classification
contrastive-learning
roberta-model
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Updated
Oct 11, 2021 - Python
Weakly supervised medical named entity classification
text-classification
ontology
weak-supervision
ner
biomedical
umls
bert
weakly-supervised-learning
pseudo-labeling
learning-with-noisy-labels
umls-metathesaurus
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Updated
Dec 3, 2021 - Python
Tensorflow 版本的图片鉴黄。not suitable/safe for work (NSFW) images detection using Tensorflow
image-recognition
nsfw
porn-detection
nsfw-recognition
image-classfication
learning-with-noisy-labels
tensorflow2
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Updated
Apr 11, 2020 - Jupyter Notebook
Official code of "No Regret Sample Selection with Noisy Labels"
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Updated
Jan 4, 2022 - Python
PyTorch implementation for Learning with Twin Noisy Labels for Visible-Infrared Person Re-Identification (CVPR 2022).
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Updated
Mar 28, 2022
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sklearn.utils are meant to be used internally within the scikit-learn package. They are not guaranteed to be stable between versions of scikit-learn. So depending on this submodule may limit cleanlab compatibility across sklearn versions.
Would not be too much work to replace the few cleanlab functions currently being