In order to tackle these issues, we turn to the recently proposed parameter-efficient tuning methods, such as VPT, which updates only the newly added prompt parameters while keeping the pre-trained backbone frozen.
Large-scale pre-trained transformers have demonstrated remarkable success in various computer vision tasks.
Ranked #4 on Image Classification on VTAB-1k (using extra training data)
Networks are ubiquitous in biology where they encode connectivity patterns at all scales of organization, from molecular to the biome.
We here present SIMLR (Single-cell Interpretation via Multi-kernel LeaRning), an open-source tool that implements a novel framework to learn a sample-to-sample similarity measure from expression data observed for heterogenous samples.
In this paper, we propose an optimization framework to mine useful structures from noisy networks in an unsupervised manner.
The unitarization of the longitudinal vector boson scattering (VBS) cross section by the Higgs boson is a fundamental prediction of the Standard Model which has not been experimentally verified.
High Energy Physics - Phenomenology High Energy Physics - Experiment