Sentence examples for the downstream task from inspiring English sources
Does the downstream task define the relevance of the disentanglement to learn?
We demonstrate how we transfer supervision from RGB images to depth images as obtained from a range sensors, such as the Microsoft Kinect, for the downstream task of saliency detection.
This can be exemplified by the implementation of a Luigi task in Fig. 4, lines 19 and 23, where we see that in the run method of the downstream task, there is navigation code tied to the structure of an upstream task. 3.
Why do we care about disentangling: What are the downstream tasks that can benefit from using disentangled representations?
Since upstream tasks in Luigi are instantiated inside the downstream tasks that depend on them, parameters have to be defined in all tasks downstream of the task in which they are used, just to forward their values.
In other words, the parameter value will need to be passed on all the way from the most downstream task of the workflow up to where it is actually used.
Although the PPIs identified by such experiments are somehow reliable, they produce a number of false-positive and false-negative interactions [ 3], which subsequently influence the associated downstream tasks.
Therefore, how to identify significantly enriched functions among the set of lncRNAs is an important downstream task for interpreting high-throughput experimental data.
The standard benchmarks for this task do not resemble realistic use cases, and generally assume that downstream task models are built using logistic regression, rather than the complex neural network architectures that are in fact widely employed for language understanding tasks.
Commenting in more detail we see in a how every parameter definition has to be repeated for every downstream task, from where it was first defined.
Secondly, given a set of human lncRNA genes such as differential lncRNAs between cancer and normal samples, it is an important downstream task to identify significantly enriched function terms.
