Essays about: "Zeroshot"

Found 3 essays containing the word Zeroshot.

  1. 1. Image-Guided Zero-Shot Object Detection in Video Games : Using Images as Prompts for Detection of Unseen 2D Icons

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

    Author : Axel Larsson; [2023]
    Keywords : Computer Vision; Deep learning; Machine learning; Object detection; Zeroshot; Datorseende; Djupinlärning; Maskininlärning; Objektdetektering; Zero-shot;

    Abstract : Object detection deals with localization and classification of objects in images, where the task is to propose bounding boxes and predict their respective classes. Challenges in object detection include large-scale annotated datasets and re-training of models for specific tasks. READ MORE

  3. 2. Automatic Distractor Generation for Spanish Reading Comprehension Questions : Using language models to generate wrong, but plausible answers for multiple choice questions in Spanish

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

    Author : Jorge Santiago Roman Avila; [2023]
    Keywords : Distractor Generation; Multiple Choice Questions; Reading Comprehension; Spanish Language; BERT; GPT; Distraktorgeneration; Flervalsfrågor; Läsförståelse; Spanska språket; BERT; GPT; Generación de Distractores; Preguntas de Opción Múltiple; Comprensión de Lectura; Lenguaje Español; BERT; GPT;

    Abstract : A common evaluation method for students in the context of reading comprehension is the use of Multiple Choice Questions. A student must read a text and a question, and then choose the correct answer from a set of options, one of which one is the correct answer, and the other options are wrong. The wrong options are called distractors. READ MORE

  4. 3. Machine Learning for Detecting Hate Speech in Low Resource Languages

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

    Author : David Rodriguez; Denitsa Saynova; [2020-07-08]
    Keywords : machine learning; natural language processing; BERT; cross-lingual zeroshot learning; data augmentation; hate speech; classification; Twitter;

    Abstract : This work examines the role of both cross-lingual zero-shot learning and data augmentation in detecting hate speech online for low resource set-ups. The proposed solutions for situations where the amount of labeled data is scarce are to use a language with more resources during training or to create synthetic data points. READ MORE