Essays about: "Multi-Task"

Showing result 1 - 5 of 38 essays containing the word Multi-Task.

  1. 1. Automatic Semantic Role Labelling (SRL) in Swedish

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Lucy Yang Buhr; [2023-10-05]
    Keywords : Semantic role labelling; SRL; transfer learning; multi-task learning; multilingual transfer; T5; mT5;

    Abstract : In this paper, using deep learning networks, the first end-to-end semantic role labelling model (SRL) has been developed for Swedish texts. This Swedish SRL model can, with a given Swedish sentence, perform trigger identification, frame classification and argument extraction tasks automatically in a series. READ MORE

  2. 2. Natural Language Inference Transfer Learning in a Multi-Task Contract Dataset : In the Case of ContractNLI: a Document Information Extraction System

    University essay from Uppsala universitet/Institutionen för lingvistik och filologi

    Author : Yiu Kei Tang; [2023]
    Keywords : ;

    Abstract : This thesis investigates the enhancement of legal contract Natural Language Inference (NLI) classification through supervised fine-tuning on general domain NLI, in the case of ContractNLI and Span NLI BERT (Koreeda and Manning, 2021), a multi-task document information extraction dataset and framework. Annotated datasets of a specific professional domain are scarce due to the high time and labour cost required to create them. READ MORE

  3. 3. Modulating Depth Map Features to Estimate 3D Human Pose via Multi-Task Variational Autoencoders

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

    Author : Kobe Moerman; [2023]
    Keywords : 3D pose estimation; Joint landmarks; Variational autoencoder; Multi-task model; Loss discrimination; Latent-space modulation; Depth map; 3D-positionsuppskattning; Gemensamma landmärken; Variationell autoencoder; Multitask-modell; Förlustdiskriminering; Latent-space-modulering; Djupkarta;

    Abstract : Human pose estimation (HPE) constitutes a fundamental problem within the domain of computer vision, finding applications in diverse fields like motion analysis and human-computer interaction. This paper introduces innovative methodologies aimed at enhancing the accuracy and robustness of 3D joint estimation. READ MORE

  4. 4. Multi-Scale Task Dynamics in Transfer and Multi-Task Learning : Towards Efficient Perception for Autonomous Driving

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

    Author : Simon Ekman von Huth; [2023]
    Keywords : Autonomous Driving; Computer Vision; Deep Learning; Machine Learning; Multi-Task Learning; Transfer Learning; Task Relationships; Task Dynamics; Python; Multi-Scale Representation Learning; Fuss-Free Network; Självkörande Fordon; Datorseende; Djupinlärning; Maskininlärning; Multiuppgiftsinlärning; Överföringsinlärning; Uppgiftsrelationer; Uppgiftsdynamik; Python; Flerskalig Representationsinlärning; Fuss-Free Nätverk;

    Abstract : Autonomous driving technology has the potential to revolutionize the way we think about transportation and its impact on society. Perceiving the environment is a key aspect of autonomous driving, which involves multiple computer vision tasks. READ MORE

  5. 5. Multi-robot coordination and planning with human-in-the-loop under STL specifications : Centralized and distributed frameworks

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

    Author : Yixiao Zhang; [2023]
    Keywords : Multi-agent systems; Human-in-the-loop systems; Signal temporal logic; Cooperative control; ROS Implementation; Multi-agent-system; Människa-i-loop-system; Signaltemporallogik; Samarbetande styrning; ROS-implementering;

    Abstract : Recent urbanization and industrialization have brought tremendous pressure and challenges to modern autonomous systems. When considering multiple complex tasks, cooperation and coordination between multiple agents can improve efficiency in a system. READ MORE