May 15, 2024, 4:42 a.m. | Tong Yu, Lei Cheng, Ruslan Khalitov, Erland Brandser Olsson, Zhirong Yang

cs.LG updates on

arXiv:2405.08538v1 Announce Type: new
Abstract: Self-supervised pretraining (SSP) has been recognized as a method to enhance prediction accuracy in various downstream tasks. However, its efficacy for DNA sequences remains somewhat constrained. This limitation stems primarily from the fact that most existing SSP approaches in genomics focus on masked language modeling of individual sequences, neglecting the crucial aspect of encoding statistics across multiple sequences. To overcome this challenge, we introduce an innovative deep neural network model, which incorporates collaborative learning between …

arxiv cs.lg distillation dna inference type

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