Labs’s working activity follows (but is not limited to) several main directions

General Machine Learning

  • recommender systems (collaborative filtering)
  • ranking
  • rating prediction
  • multi-modal systems
  • zero-shot learning
  • transfer learning

Deep Learning for Natural Language Processing

The tasks of interest include, but are not limited to:

  • user modeling
  • text-based recommender systems
  • topic modeling and aspect extraction
  • entity linking
  • open information extraction
  • language modeling

Deep Learning for Computer Vision

  • user preferences based on the set of images
  • light-weight models for mobile devices
  • object detection
  • scene recognition
  • transfer learning