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Full-Text Articles in Physical Sciences and Mathematics
A New Method To Solve Same-Different Problems With Few-Shot Learning, Yuanyuan Han
A New Method To Solve Same-Different Problems With Few-Shot Learning, Yuanyuan Han
Electronic Thesis and Dissertation Repository
Visual learning of highly abstract concepts is often simple for humans but very challenging for machines. Same-different (SD) problems are a visual reasoning task with highly abstract concepts. Previous work has shown that SD problems are difficult to solve with standard deep learning algorithms, especially in the few-shot case, despite the ability of such algorithms to learn abstract features. In this thesis, we propose a new method to solve SD problems with few training samples, in which same-different visual concepts can be recognized by examining similarities between Regions of Interest by using a same-different twins network. Our method achieves state-of-the-art …
Improving Neural Sequence Labelling Using Additional Linguistic Information, Muhammad Rifayat Samee
Improving Neural Sequence Labelling Using Additional Linguistic Information, Muhammad Rifayat Samee
Electronic Thesis and Dissertation Repository
Sequence Labelling is the task of mapping sequential data from one domain to another domain. As we can interpret language as a sequence of words, sequence labelling is very common in the field of Natural Language Processing (NLP). In NLP, some fundamental sequence labelling tasks are Parts-of-Speech Tagging, Named Entity Recognition, Chunking, etc. Moreover, many NLP tasks can be modeled as sequence labelling or sequence to sequence labelling such as machine translation, information retrieval and question answering. An extensive amount of research has already been performed on sequence labelling. Most of the current high performing models are neural network models. …