Master Thesis in Large-Scale Labelling in Embedding Space

Your tasks During your master thesis, you will explore the latest labelling approaches in embedding space, navigating the vast sea of knowledge and uncovering hidden gems. You will explore dimensionality reduction/projection techniques such as PCA, t-SNE, UMAP and pave the way for making high-dimensional embeddings accessible to humans. Last but not least, you will crack the code on incorporating text descriptions into the labelling process and unleash the power of words to get the labels you want. Contact & Additional information Social counselling and intermediary service for care services Discounts for employees