Essays about: "sequential training"
Showing result 6 - 10 of 40 essays containing the words sequential training.
-
6. Can Wizards be Polyglots: Towards a Multilingual Knowledge-grounded Dialogue System
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : The research of open-domain, knowledge-grounded dialogue systems has been advancing rapidly due to the paradigm shift introduced by large language models (LLMs). While the strides have improved the performance of the dialogue systems, the scope is mostly monolingual and English-centric. READ MORE
-
7. Attention-based Multi-Behavior Sequential Network for E-commerce Recommendation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The original intention of the recommender system is to solve the problem of information explosion, hoping to help users find the content they need more efficiently. In an e-commerce platform, users typically interact with items that they are interested in or need in a variety of ways. For example, buying, browsing details, etc. READ MORE
-
8. Continual Learning and Biomedical Image Data : Attempting to sequentially learn medical imaging datasets using continual learning approaches
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : While deep learning has proved to be useful in a large variety of tasks, a limitation remains of needing all classes and samples to be present at the training stage in supervised problems. This is a major issue in the field of biomedical imaging since keeping samples in the training sets consistently is often a liability. READ MORE
-
9. Labeling audio through Games with a Purpose : The implementation of an efficient and enjoyable way of audio labeling with the help of sound cocktails
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Audio labeling is a process that is yet too complicated to be entirely automated. Many forms of automated labeling are possible, though they require basic labels to get started. With data that has labels, training of a model is possible which potentially could unlock millions of hours to use. READ MORE
-
10. Self-Supervised Learning: Land Classification of Satellite Imagery
University essay from Lunds universitet/Matematisk statistikAbstract : The rise of self-supervised learning has granted a deeper level of generalized machine learning capable of learning semantic representations without any use of labelling. With 700 satellites orbiting Earth and generating terabytes of unlabelled data daily, satellite imagery serves as a particularly enticing data set for self-supervised learning, containing rich information with many applicable domains,such as agriculture. READ MORE