Results 71 to 80 of about 11,040,138 (216)
Students’ perception of learning transfer: Which EAP skills transfer best?
International Journal of English for Academic PurposesEnglish for academic purposes (EAP) courses improve English academic skills, build learner confidence, and prepare students for future academic success (Zou & Jiang, 2021). To be successful post-EAP, these skills must transfer to other learning contexts (
Julie McCarroll +2 more
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Learning transfer through industrial simulator training: Petroleum industry case
Cogent Education, 2018 Efficient teamwork skills, high level of complex process knowledge and a vast set of operational abilities are essential for safe and economical operation in process industries. During the past decade, human factors have emerged as a strong research area
Tiina M. Komulainen, A. Ronny Sannerud
doaj +1 more source
International Journal of English for Academic Purposes, 2022 This study represents an account and analysis of an adjunct writing course designed to assist L2 English speaking teachers with the written assignments on a Trinity College London CertTESOL course.
Matthew Gordon
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Transferable learning on analog hardware
Science Advances, 2023 While analog neural network (NN) accelerators promise massive energy and time savings, an important challenge is to make them robust to static fabrication error. Present-day training methods for programmable photonic interferometer circuits, a leading analog NN platform, do not produce networks that perform well in the presence of static hardware ...
Sri Krishna Vadlamani +2 more
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Partial Transfer Learning with Selective Adversarial Networks
, 2017 Adversarial learning has been successfully embedded into deep networks to learn transferable features, which reduce distribution discrepancy between the source and target domains.
Cao, Zhangjie +3 more
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Unsupervised Cross-lingual Representation Learning at Scale [PDF]
Annual Meeting of the Association for Computational Linguistics, 2019 This paper shows that pretraining multilingual language models at scale leads to significant performance gains for a wide range of cross-lingual transfer tasks.
Alexis Conneau +9 more
semanticscholar +1 more source
Learning to Transfer Learn: Reinforcement Learning-Based Selection for Adaptive Transfer Learning [PDF]
, 2020 We propose a novel adaptive transfer learning framework, learning to transfer learn (L2TL), to improve performance on a target dataset by careful extraction of the related information from a source dataset. Our framework considers cooperative optimization of shared weights between models for source and target tasks, and adjusts the constituent loss ...
Zhu, Linchao +3 more
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Geological time, biological events and the learning transfer problem
Journal of the Scholarship of Teaching and Learning, 2014 Comprehension of geologic time does not come easily, especially for students who are studying the earth sciences for the first time. This project investigated the potential success of two teaching interventions that were designed to help non-science ...
Claudia C Johnson +4 more
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Learning to Selectively Transfer [PDF]
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019 Accepted to WSDM ...
Qu, Chen +7 more
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Knowledge-based Transfer Learning Explanation [PDF]
, 2018 Machine learning explanation can significantly boost machine learning's application in decision making, but the usability of current methods is limited in human-centric explanation, especially for transfer learning, an important machine learning branch ...
Chen, Huajun +4 more
core +2 more sources