Keywords

#transfer_learning

Transfer learning

Machine learning technique

Transfer learning (TL) is a technique in machine learning (ML) in which knowledge learned from a task is re-used in order to boost performance on a related task. For example, for image classification, knowledge gained while learning to recognize cars could be applied when trying to recognize trucks. This topic is related to the psychological literature on transfer of learning, although practical ties between the two fields are limited. Reusing/transferring information from previously learned tasks to new tasks has the potential to significantly improve learning efficiency.

Tue 27th

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Transfer learning Transfer of learning Zero-shot learning Learning Learning theory (education) Transformer (deep learning architecture) Self-supervised learning Fine-tuning (deep learning) Ensemble learning Multimodal learning
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