Improving machine learning performance on small chemical reaction data with unsupervised contrastive pretraining
Sign Up to like & getrecommendations! Published in 2022 at "Chemical Science"
DOI: 10.1039/d1sc06515g
Abstract: Machine learning (ML) methods have great potential to transform chemical discovery by accelerating the exploration of chemical space and drawing scientific insights from data. However, modern chemical reaction ML models, such as those based on… read more here.
Keywords: reaction; unsupervised contrastive; machine learning; chemical reaction ... See more keywords
PARCEL: Physics-based Unsupervised Contrastive Representation Learning for Multi-coil MR Imaging.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2022.3213669
Abstract: With the successful application of deep learning to magnetic resonance (MR) imaging, parallel imaging techniques based on neural networks have attracted wide attention. However, in the absence of high-quality, fully sampled datasets for training, the… read more here.
Keywords: contrastive representation; physics; representation learning; unsupervised contrastive ... See more keywords