Results 11 to 20 of about 8,451,453 (309)
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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Learning to Learn Transferable Attack
Proceedings of the AAAI Conference on Artificial Intelligence, 2022 Transfer adversarial attack is a non-trivial black-box adversarial attack that aims to craft adversarial perturbations on the surrogate model and then apply such perturbations to the victim model. However, the transferability of perturbations from existing methods is still limited, since the adversarial perturbations are easily overfitting with a single
Shuman Fang +3 more
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Transfer Learning and Curriculum Learning in Sokoban [PDF]
, 2022 Transfer learning can speed up training in machine learning and is regularly used in classification tasks. It reuses prior knowledge from other tasks to pre-train networks for new tasks. In reinforcement learning, learning actions for a behavior policy that can be applied to new environments is still a challenge, especially for tasks that involve much ...
Zhao Yang 0003, Mike Preuss, Aske Plaat
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The well-fit for the FET model: Understanding training transfer factors in Spain
Educar, 2021 Learning transfer evaluation is a necessary process for practitioners to assess the effectiveness of training, and the outcomes of training produces in workers’ behaviors.
Carla Quesada-Pallarès +3 more
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Adaptive Transfer Learning: a simple but effective transfer learning
CoRR, 2021 Transfer learning (TL) leverages previously obtained knowledge to learn new tasks efficiently and has been used to train deep learning (DL) models with limited amount of data. When TL is applied to DL, pretrained (teacher) models are fine-tuned to build domain specific (student) models.
Jung H. Lee +9 more
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Education Sciences, 2023 This study seeks to analyse which factors in the work environments of students undergoing virtual in-service ICT teacher training facilitate the initial transfer of learning. Deductive categories were first defined based on previous studies.
Fernanda Fauth, Juan González-Martínez
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When & How to Transfer with Transfer Learning
CoRR, 2022 In deep learning, transfer learning (TL) has become the de facto approach when dealing with image related tasks. Visual features learnt for one task have been shown to be reusable for other tasks, improving performance significantly. By reusing deep representations, TL enables the use of deep models in domains with limited data availability, limited ...
Adrian Tormos +3 more
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Progressive Transfer Learning [PDF]
IEEE Transactions on Image Processing, 2022 10 pages, 4 figures, journel verison of our published short paper on ...
Zhengxu Yu +5 more
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Irish Journal of Academic Practice, 2022 Learning technology advancements have shown how employees can benefit from new and varied learning experiences in comparison to traditional on-the-job training.
Robyn Murphy
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A precursory insight into the behavior of CNNs to analyze visual similarities of sketches [PDF]
Egyptian Journal of Pure and Applied Science, 2021 Artificial neural networks (ANNs) have been showing a great performance in artificial intelligence (AI)-related tasks in many fields for the last couple of decades or so.
Nohayr Abdelmoneam +2 more
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