Sökning: "Variationell autokodare"

Hittade 2 uppsatser innehållade orden Variationell autokodare.

1. 1. Overcoming generative likelihood bias for voxel-based out-of-distribution detection

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Einar Lennelöv; [2021]
   Nyckelord :Variational autoencoder; out-of-distribution detection; likelihood bias; voxel representation; radiation therapy; Variationell autokodare; anomalidetektion; sannolikhetssnedvridning; voxelrepresentation; strålbehandling;

   Sammanfattning : Deep learning-based dose prediction is a promising approach to automated radiotherapy planning but carries with it the risk of failing silently when the inputs are highly abnormal compared to the training data. One way to address this issue is to develop a dedicated outlier detector capable of detecting anomalous patient geometries. LÄS MER

3. 2. Attribute-Driven Generation of Drug Reviews using Deep Learning

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Sylwester Liljegren; [2019]
   Nyckelord :;

   Sammanfattning : In the last years, the demands on different models using deep learning to generate textual data conditionally have increased, where one would like to control what textual data to generate from a deep learning model. For this purpose, a couple of models have been developed and achieved state-of-art performance in the field of generating textual data conditionally. LÄS MER