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UNSUPERVISED DOMAIN ADAPTATION WITH DEEP NEURAL NETWORKS
(2022-05-04)
Deep neural networks (DNNs) demonstrate unprecedented achievements on various machine learning problems and applications. However, such impressive performance heavily relies on massive amounts of labeled data which requires ...
MoDNA: Motif-Oriented Pre-training For DNA Language Model
(ACM, 2022-08-10)
Obtaining informative representations of gene expression is crucial
in predicting various downstream regulatory-related tasks such as
promoter prediction and transcription factor binding sites prediction. Nevertheless, ...