Project

MIL based on iterative label refinement.

Positions: Student Researcher

Created: 2023-10-22 Deadline:

Location: Poland

The objective is to develop a MIL (Multiple Instance Learning) model that is designed to be memory efficient. We plan to base our approach on the study detailed in this https://proceedings.mlr.press/v202/zhu23l/zhu23l.pdf.

General must-have requirements

PyTorch

Contact: Jacek Tabor, Łukasz Struski (jacek.tabor [ at ] uj.edu.pl lukasz.struski [ at ] uj.edu.pl)

Project's lab:

GMUM (Group of Machine Learning Research) is a group of researchers working on various aspects of machine learning, and in particular deep learning - in both fundamental and applied settings. The group is led by prof. Jacek Tabor. We are based in the Jagiellonian University in the beautiful city of Kraków, Poland.

Some of the research directions our group pursues include:

  • Generative models: efficient training and sampling; inpainting; super-resolution,
  • Theoretical understanding of deep learning and optimization,
  • Natural language processing,
  • Drug design and cheminformatics,
  • Unsupervised learning and clustering,
  • Computer vision and medical image analysis.

In 2023, we organized the second edition of Machine Learning Summer School (MLSS^S) with a focus on Applications in Science. We invite participants to collaborate with us on various ongoing research projects - learn more here.

See lab's page