Essays about: "Multi-Task Learning"

Showing result 21 - 25 of 32 essays containing the words Multi-Task Learning.

  1. 21. One-Shot Neural Architecture Search for Deep Multi-Task Learning in Computer Vision

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Gianluigi Silvestri; [2020]
    Keywords : ;

    Abstract : In this work, a neural architecture search algorithm for multi-task learning is proposed. Given any dataset and tasks group, the method aims to find the optimal way of sharing layers among tasks in convolutional neural networks. READ MORE

  3. 22. Response Generation Using Large-scale Pre-trained Language Models

    University essay from

    Author : Jakob Nyberg; [2020]
    Keywords : Språkmodeller; Maskininlärning;

    Abstract : In this project I studied how generative neural language models can be used for response generation. The purpose of the model is to generate responses for a social robot, instead of having responses be authored and evaluated by crowd-sourced workers. READ MORE

  4. 23. Automated bone segmentation in computed tomography using deep learning with distance maps

    University essay from Lunds universitet/Matematik LTH

    Author : Julius Åkesson; [2020]
    Keywords : deep learning; distance maps; Mathematics and Statistics;

    Abstract : 3D-models of bone structures from computed tomography (CT) data can be used for surgical planning, education and a wide range of other purposes. They can also be used in both digital and 3D-printed format. The currently used process to obtain such models consists of a combination of thresholding, morphological operations and manual adjustments. READ MORE

  5. 24. An evaluation of BERT for a Span-based Approach for Jointly Predicting Entities, Coreference Clusters and Relations Between Entities

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Ulme Wennerberg; [2019]
    Keywords : ;

    Abstract : This degree project examines and evaluates the performance of various ways of improving contextualization of text span representations within a general multi-task learning framework for named entity recognition, coreference resolution and relation extraction. A span-based approach is used in which all possible text spans are enumerated, iteratively refined and finally scored. READ MORE

  6. 25. Deep Active Learning for 3D Object Detection for Autonomous Driving

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Xiao Wei; [2019]
    Keywords : ;

    Abstract : 3D object detection is vital for autonomous driving. However, to train a 3D detector often requires a huge amount of labeled data which are extremely expensive and tedious to obtain. READ MORE