AbstractThe success of deep learning is usually accompanied by the growth in neural network depth. However, traditional training method only supervises at its last layer and propagates supervision layer-by-layer, which leads to hardship optimizing intermediate layers. Recently, has been proposed add auxiliary classifiers layers networks. By these with supervised task loss, can be applied shallo...

In this paper, we propose a method for training neural networks when we have a large set of data with weak labels and a small amount of data with true labels. In our proposed model, we train two neural networks: a target network, the learner and a confidence network, the meta-learner. The target network is optimized to perform a given task and is trained using a large set of unlabeled data that...

The purpose of this study was to describe student teachers’ perceptions and preferences of the type of supervision they experienced while interacting with their university supervisors and cooperating teachers. Results revealed that student teachers perceived both their cooperating teachers and university supervisors to engage in contextual and clinical supervision practices. Cooperating teacher...

This paper presents a method for learning a semantic parser from ambiguous supervision. Training data consists of natural language sentences annotated with multiple potential meaning representations, only one of which is correct. Such ambiguous supervision models the type of supervision that can be more naturally available to language-learning systems. Given such weak supervision, our approach ...

abstract background: supervisors should have certain characteristics and adequate preparation for their roles. yet, there are no well‑educated experts knowing about the supervisor’s role and responsibilities and how to train them. so, this research was conducted with the purpose of finding the factors affecting nursing supervisor training. materials and methods: this research is an inductive co...

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objective absence status epilepticus (ase) is a common form of nonconvulsive status epilepcticus. it is  characterized by loss of consciousness with spike and wave discharges in eeg simultaneously. the most effective treatment of ase is diazepam, either infusion or in divided doses; the former is more expensive since patients must be admitted in an intensive care unit. the aim of this study was...