Results 51 to 60 of about 1,961,679 (175)
The Impact of Culture on Learning Transfer in Burkina Faso and Ghana
AS: Andragoška Spoznanja, 2022 Culture is a predominant force in people’s lives that impacts learning and thus culture influences learning transfer. Because working across nations has become the norm and every year billions of dollars are spent on professional learning around the ...
Corinne Brion
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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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Climate Resilience and SustainabilityClimate change is threatening the resilience of smallholder agroecosystems in semi‐arid areas. Wetland agroecosystems provide critical life support and positive outcomes for people, nature and climate in semi‐arid areas.
Pascal Manyakaidze +2 more
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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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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
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Multilingual Meta-Transfer Learning for Low-Resource Speech Recognition
IEEE AccessThis paper proposes a novel meta-transfer learning method to improve automatic speech recognition (ASR) performance in low-resource languages. Nowadays, we are witnessing high interest in low-resource ASR tasks aiming at delivering feasible and reliable ...
Rui Zhou +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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Structure transfer and consolidation in visual implicit learning
eLifeTransfer learning, the re-application of previously learned higher-level regularities to novel input, is a key challenge in cognition. While previous empirical studies investigated human transfer learning in supervised or reinforcement learning for ...
Dominik Garber, József Fiser
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CNN Ensemble learning method for Transfer learning: A Review
Ilkom Jurnal Ilmiah, 2023 This study provides a review of CNN's ensemble learning method for transfer learning by highlighting sections such as review studies, datasets, pre-trained models, transfer learning, ensemble learning, and performance.
Yudha Islami Sulistya +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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