Essays about: "Contrastive Loss"

Showing result 1 - 5 of 11 essays containing the words Contrastive Loss.

  1. 1. Information Extraction for Test Identification in Repair Reports in the Automotive Domain

    University essay from Uppsala universitet/Institutionen för lingvistik och filologi

    Author : Huang Jie; [2023]
    Keywords : text classification; information retrieval; contrastive learning; prompt-based fine-tuning; large language models;

    Abstract : The knowledge of tests conducted on a problematic vehicle is essential for enhancing the efficiency of mechanics. Therefore, identifying the tests performed in each repair case is of utmost importance. This thesis explores techniques for extracting data from unstructured repair reports to identify component tests. READ MORE

  3. 2. Hanif Kureishi’s The Buddha of Suburbia : The Production of Subjectivity and Commodification

    University essay from Södertörns högskola/Engelska

    Author : Branko Ladan; [2023]
    Keywords : Neoliberalism; The Buddha of Suburbia; Michel Foucault; Fredric Jameson; Literature;

    Abstract : This essay aims to analyze the main characters of Hanif Kureishi’s The Buddha of Suburbia. The main characters embark on a metaphorical journey against a backdrop of turbulent socio-political changes in 1970s Britain, ending with the emergence of neoliberalism and the rise of Margaret Thatcher. READ MORE

  4. 3. Messing With The Gap: On The Modality Gap Phenomenon In Multimodal Contrastive Representation Learning

    University essay from Uppsala universitet/Industriell teknik

    Author : Mohammad Al-Jaff; [2023]
    Keywords : Multimodal machine learning; Representation learning; Self-supervised learning; contrastive learning; computer vision; computational biology; bioinformatics;

    Abstract : In machine learning, a sub-field of computer science, a two-tower architecture model is a specialised type of neural network model that encodes paired data from different modalities (like text and images, sound and video, or proteomics and gene expression profiles) into a shared latent representation space. However, when training these models using a specific contrastive loss function, known as the multimodalinfoNCE loss, seems to often lead to a unique geometric phenomenon known as the modality gap. READ MORE

  5. 4. Pre-classification of Hairy Cells Using Supervised Contrastive Learning

    University essay from Lunds universitet/Matematik LTH

    Author : Alexia Han; Rebecca Schömer Ericsson; [2022]
    Keywords : supervised contrastive learning; hairy cells; abnormal lymphocytes; deep learning; Cellavision; Xception; artificial neural network; convolutional neural networks; Mathematics and Statistics;

    Abstract : Differential of the peripheral blood is an important tool when assessing blood-related diseases. Lymphocytes are part of the immune system and morphological changes thereof should raise attention. READ MORE

  6. 5. Attribute Embedding for Variational Auto-Encoders : Regularization derived from triplet loss

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

    Author : Anton E. L. Dahlin; [2022]
    Keywords : Variational Auto-Encoder; Triplet Loss; Contrastive Loss; Generative Models; Metric Learning; Latent Space; Attribute Manipulation; Variationsautokodare; Triplettförlust; Kontrastiv Förlust; Generativa Modeller; Metrisk Inlärning; Latent Utrymme; Attributmanipulation;

    Abstract : Techniques for imposing a structure on the latent space of neural networks have seen much development in recent years. Clustering techniques used for classification have been used to great success, and with this work we hope to bridge the gap between contrastive losses and Generative models. READ MORE