Essays about: "gleshet"

Showing result 1 - 5 of 11 essays containing the word gleshet.

  1. 1. Modelling synaptic rewiring in brain-like neural networks for representation learning

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

    Author : Kunal Bhatnagar; [2023]
    Keywords : Adaptive Sparsity; Computational Neuroscience; Rewiring; Structural Plasticity; Brain-like Computing; Neural Networks; Hebbian Learning; Adaptiv gleshet; beräkningsneurovetenskap; omkoppling; strukturell plasticitet; Hjärnliknande beräkning; Neurala Nätverk; Hebbskt lärande;

    Abstract : This research investigated the concept of a sparsity method inspired by the principles of structural plasticity in the brain in order to create a sparse model of the Bayesian Confidence Propagation Neural Networks (BCPNN) during the training phase. This was done by extending the structural plasticity in the implementation of the BCPNN. READ MORE

  3. 2. Incorporating Sparse Attention Mechanism into Transformer for Object Detection in Images

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

    Author : Cuong Duc Dao; [2022]
    Keywords : Detection Transformer; Sparse Attentions; Sparsity; Attention Mechanism; Learnable sparsity; Object Detection; Detektionstransformator; gles attention; gleshet; träningsbar gleshet; objektdetektion;

    Abstract : DEtection TRansformer, DETR, introduces an innovative design for object detection based on softmax attention. However, the softmax operation produces dense attention patterns, i.e., all entries in the attention matrix receive a non-zero weight, regardless of their relevance for detection. READ MORE

  4. 3. Recommender system for IT security scanning service : Collaborative filtering in an error report scenario

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

    Author : Jonas Thunberg; [2022]
    Keywords : Collaborative Filtering; Vulnerability Scanning; IT-Security; Recommender System;

    Abstract : Recommender systems have become an integral part of the user interface of many web applications. Recommending items to buy, media to view or similar “next choice”-recommendations has proven to be a powerful tool to improve costumer experience and engagement. READ MORE

  5. 4. Neural Ordinary Differential Equations for Anomaly Detection

    University essay from KTH/Matematisk statistik

    Author : Jón Hlöðver Friðriksson; Erik Ågren; [2021]
    Keywords : Anomaly detection; Neural ordinary differential equations; Statistical modelling; Autoregression; Variational autoencoder; Multivariate time series; Anomalidetektion; Neurala ordinära differentialekvationer; Statistisk modellering; Autoregression; Variational autoencoder; Multivariat tidsserie;

    Abstract : Today, a large amount of time series data is being produced from a variety of different devices such as smart speakers, cell phones and vehicles. This data can be used to make inferences and predictions. Neural network based methods are among one of the most popular ways to model time series data. READ MORE

  6. 5. Introducing Sparsity into the Current Landscape of Disentangled Representation Learning

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

    Author : Elias Ågeby; [2021]
    Keywords : ;

    Abstract : In many scenarios it is natural to assume that a set of data is generated given a set of latent factors. If we consider some high-dimensional data, there might only be a few degrees of variability which are essential to the generation of such data. READ MORE