Essays about: "self-training"
Showing result 1 - 5 of 9 essays containing the word self-training.
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1. Semi-Supervised Domain Adaptation for Semantic Segmentation with Consistency Regularization : A learning framework under scarce dense labels
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Learning from unlabeled data is a topic of critical significance in machine learning, as the large datasets required to train ever-growing models are costly and impractical to annotate. Semi-Supervised Learning (SSL) methods aim to learn from a few labels and a large unlabeled dataset. READ MORE
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2. Using Semi-Supervised Learning for Email Classification
University essay from KTH/Matematik (Avd.)Abstract : In this thesis, we investigate the use of self-training, a semi-supervised learning method, to improve binary classification of text documents. This means making use of unlabeled samples, since labeled samples can be expensive to generate. More specifically, we want to classify emails that are retrieved by Skandinaviska Enskilda Banken (SEB). READ MORE
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3. Improving a Few-shot Named Entity Recognition Model Using Data Augmentation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : To label words of interest into a predefined set of named entities have traditionally required a large amount of labeled in-domain data. Recently, the availability of pre-trained transformer-based language models have enabled multiple natural language processing problems to utilize transfer learning techniques to construct machine learning models with less task-specific labeled data. READ MORE
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4. Deep Ensembles for Self-Training in NLP
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : With the development of deep learning methods the requirement of having access to large amounts of data has increased. In this study, we have looked at methods for leveraging unlabeled data while only having access to small amounts of labeled data, which is common in real-world scenarios. READ MORE
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5. Machine Activity Recognition with Augmented Self-training
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : One of the most important business elements in primary and secondary industries is monitoring their equipment. Understanding the usage of heavy logistics machinery can help in realizing the potential of these machinery and improving them. READ MORE
