Essays about: "art-performance"

Showing result 1 - 5 of 56 essays containing the word art-performance.

  1. 1. Activation of Place : Curating Site-Specific Art at the Luleå Biennial in 2018 and 2020

    University essay from Uppsala universitet/Konstvetenskapliga institutionen

    Author : Maria Nåtoft; [2023]
    Keywords : Site specificity; site-specific art; site-related art; Miwon Kwon; Nick Kaye; performance; performance of space; interdisciplinary; contemporary art; curating; biennial; art biennial; Luleå; Luleå biennial; Norrbotten; Karl Sjölund; Raqs Media Collective; Maria W Horn; Kapwani Kiwanga; Platsspecificitet; platsspecifik konst; plats-relaterad konst; Miwon Kwon; Nick Kaye; performance; performance of space; interdisciplinärt; samtidskonst; curating; biennial; konstbiennial; Luleåbiennialen; Luleå; Norrbotten; Karl Sjölund; Raqs Media Collective; Maria W Horn; Kapwani Kiwanga;

    Abstract : This thesis investigates how site-specific art manifest itself in different ways, specifically in the biennial format. The focus is on the Luleå Biennale, one of Scandinavia's oldest biennales that returns every two years. READ MORE

  2. 2. A Deep Learning approach to Analysing Multimodal User Feedback during Adaptive Robot-Human Presentations : A comparative study of state-of-the-art Deep Learning architectures against high performing Machine Learning approaches

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

    Author : Manuel Fraile Rodríguez; [2023]
    Keywords : Human Feedback; Deep Learning; Convolutional Neural Networks; Transformers; Mänsklig återmatning; mänsklig feedback; djupinlärning; CNN; transformer;

    Abstract : When two human beings engage in a conversation, feedback is generally present since it helps in modulating and guiding the conversation for the involved parties. When a robotic agent engages in a conversation with a human, the robot is not capable of understanding the feedback given by the human as other humans would. READ MORE

  3. 3. Exploring Normalizing Flow Modifications for Improved Model Expressivity

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

    Author : Marcel Juschak; [2023]
    Keywords : Normalizing Flows; Motion Synthesis; Invertible Neural Networks; Glow; MoGlow; Maximum Likelihood Estimation; Generative models; normaliserande flöden; rörelsesyntes; inverterbara neurala nätverk; Glow; MoGlow; maximum likelihood-skattning generativa modeller;

    Abstract : Normalizing flows represent a class of generative models that exhibit a number of attractive properties, but do not always achieve state-of-the-art performance when it comes to perceived naturalness of generated samples. To improve the quality of generated samples, this thesis examines methods to enhance the expressivity of discrete-time normalizing flow models and thus their ability to capture different aspects of the data. READ MORE

  4. 4. Self-Supervised Fine-Tuning of sentence embedding models using a Smooth Inverse Frequency model : Automatic creation of labels with Smooth Inverse Frequency model

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

    Author : Vittorio Pellegrini; [2023]
    Keywords : Natural Language Processing; sentence embeddings; Transformer-based architectures; sentence paraphrasing; sentence similarity; sentence clustering; Naturlig språkbehandling; inbäddning av meningar; transformatorbaserade arkitekturer; parafrasering av meningar; meningslikhet; klustring av meningar Canvas Lärplattform; Dockerbehållare; Prestandajustering;

    Abstract : Sentence embedding models play a key role in the field of Natural Language Processing. They can be exploited for the resolution of several tasks like sentence paraphrasing, sentence similarity, and sentence clustering. READ MORE

  5. 5. Synthetic data generation for domain adaptation of a retriever-reader Question Answering system for the Telecom domain : Comparing dense embeddings with BM25 for Open Domain Question Answering

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

    Author : Filip Döringer Kana; [2023]
    Keywords : Natural Language Processing; Transformers; Deep Learning; Question Answering; Data Generation; Språkteknologi; Transformers; Djupinlärning; Frågebesvaring; Datagenerering;

    Abstract : Having computer systems capable of answering questions has been a goal within Natural Language Processing research for many years. Machine Learning systems have recently become increasingly proficient at this task with large language models obtaining state-of-the-art performance. READ MORE