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Found 3 papers, 1 papers with code
Concurrent Neural Tree and Data Preprocessing AutoML for Image Classification
Deep Neural Networks (DNN's) are a widely-used solution for a variety of machine learning problems.
Evolving SimGANs to Improve Abnormal Electrocardiogram Classification
We show that by using an evolved SimGAN to refine simulated healthy ECG data to mimic real-world abnormal ECGs, we can improve the accuracy of abnormal ECG classifiers.
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Recent work has demonstrated that increased training dataset diversity improves general cross-domain knowledge and downstream generalization capability for large-scale language models.
Ranked #3 on
Language Modelling
on The Pile
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