Towards robust natural language and image processing In low-resource scenarios

Towards robust natural language and image processing In low-resource scenarios

Deep learning has achieved state-of-the-art performance on a wide range of tasks, including natural language processing (NLP), computer vision (CV), speech and so on. Compared with the traditional statistical model-based machine learning methods, it eliminates the reliance on tedious feature enginee...

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Bibliographic Details
Main Author: Liu, Linlin
Other Authors: He Ying
Format: Thesis-Doctor of Philosophy
Language:English
Published: Nanyang Technological University 2023
Subjects:
Engineering::Computer science and engineering
Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Humanities::Linguistics::Sociolinguistics::Computational linguistics
Online Access:https://hdl.handle.net/10356/166293

Internet

https://hdl.handle.net/10356/166293

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