Essays about: "Inlärning med Få Exempel"
Showing result 1 - 5 of 9 essays containing the words Inlärning med Få Exempel.
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1. Applying the Shadow Rating Approach: A Practical Review
University essay from KTH/Matematik (Avd.)Abstract : The combination of regulatory pressure and rare but impactful defaults together comprise the domain of low default portfolios, which is a central and complex topic that lacks clear industry standards. A novel approach that utilizes external data to create a Shadow Rating model has been proposed by Ulrich Erlenmaier. READ MORE
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2. Investigating Few-Shot Transfer Learning for Address Parsing : Fine-Tuning Multilingual Pre-Trained Language Models for Low-Resource Address Segmentation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Address parsing is the process of splitting an address string into its different address components, such as street name, street number, et cetera. Address parsing has been quite extensively researched and there exist some state-ofthe-art address parsing solutions, mostly unilingual. READ MORE
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3. Style Transfer Paraphrasing for Consistency Training in Sentiment Classification
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Text data is easy to retrieve but often expensive to classify, which is why labeled textual data is a resource often lacking in quantity. However, the use of labeled data is crucial in supervised tasks such as text classification, but semi-supervised learning algorithms have shown that the use of unlabeled data during training has the potential to improve model performance, even in comparison to a fully supervised setting. READ MORE
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4. Zero/Few-Shot Text Classification : A Study of Practical Aspects and Applications
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : SOTA language models have demonstrated remarkable capabilities in tackling NLP tasks they have not been explicitly trained on – given a few demonstrations of the task (few-shot learning), or even none at all (zero-shot learning). The purpose of this Master’s thesis has been to investigate practical aspects and potential applications of zero/few-shot learning in the context of text classification. READ MORE
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5. Few-Shot Learning with Deep Neural Networks for Visual Quality Control: Evaluations on a Production Line
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Having a well representative and adequate amount of data samples plays an important role in the success of deep learning algorithms used for image recognition. On the other hand, collecting and manually labeling a large-scale dataset requires a great deal of human interaction which in turn is very timeconsuming. READ MORE
