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Found 2 papers, 1 papers with code
MolNexTR: A Generalized Deep Learning Model for Molecular Image Recognition
In addition, it employs a series of novel augmentation algorithms to significantly enhance the robustness and performance of the model.
RetroOOD: Understanding Out-of-Distribution Generalization in Retrosynthesis Prediction
Machine learning-assisted retrosynthesis prediction models have been gaining widespread adoption, though their performances oftentimes degrade significantly when deployed in real-world applications embracing out-of-distribution (OOD) molecules or reactions.
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