Blog(1)

• Website Clustering via Transformer Context Models

  Individual characteristics as age, gender etc. are often relevant features in tasks such as lifetime value or uplift modelling. Those variables are sufficiently good in describing some high-level heuristics about a population.

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Publications(18)

• Principled and Efficient Motif Finding for Structure Learning in Lifted Graphical Models

  AuthorEfthymia Tsamoura

  PublishedConference on Artificial Intelligence (AAAI)

  Date2023-02-03

• From Keypoints to Object Landmarks via Self-Training Correspondence: A novel approach to Unsupervised Landmark Discovery

  AuthorEnrique Sanchez, Georgios Tzimiropoulos

  PublishedIEEE Transactions on Pattern Analysis and Machine Intelligence

  Date2023-01-04

• Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut

  AuthorYangtao Wang, Xi Shen, Shell hu, Yuan Yuan, James Crowley, Dorminique Vaufreydaz

  PublishedComputer Vision and Pattern Recognition (CVPR)

  Date2022-06-21

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• [Blog] Website Clustering via Transformer Context Models

  Individual characteristics as age, gender etc. are often relevant features in tasks such as lifetime value or uplift modelling. Those variables are sufficiently good in describing some high-level heuristics about a population.

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