Along with the theories of language teaching and learning, theories on language learning strategies (LLS) have recently been of key interest in the field of language education. This article tries to relate these LLS with the contemporary eclectic trend in language education and aims to discover the LLS that individual learners use to facilitate their own learning. And based on a survey, it also...

Existing image captioning models are usually trained by cross-entropy (XE) loss and reinforcement learning (RL), which set ground-truth words as hard targets force the model to learn from them. However, widely adopted training strategies may suffer misalignment in XE inappropriate reward assignment RL training. To tackle these problems, we introduce an attribute enhanced teacher that serves a b...

This paper describes the effectiveness of knowledge distillation using teacher student training for building accurate and compact neural networks. We show that with knowledge distillation, information from multiple acoustic models like very deep VGG networks and Long Short-Term Memory (LSTM) models can be used to train standard convolutional neural network (CNN) acoustic models for a variety of...

The purpose of this study is to describe teacher strategies in implementing Hindu nuanced learning, the lack information related its application so that there needs be an innovation created by provide good practices for early childhood education through several learning used class teachers one PAUD Pratama Widya Pasraman Tabanan district. research method qualitative with taxonomic data analysis...