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TAILOR
  • HOME
  • ABOUT
    • About TAILOR
    • Partners
    • Network Members
    • Organisation and contact persons
    • AIDA doctoral school
    • Logos and Templates
    • Internal
  • WORK PACKAGES
    • Research overview
    • Roadmap & Challenges (WP2)
    • Trustworthy AI (WP3)
    • Unifying Paradigms (WP4)
    • Acting (WP5)
    • Social AI (WP6)
    • Auto AI (WP7)
    • Industry & Innovation (WP8)
    • Network Collaboration (WP9)
    • Connectivity fund (WP10)
    • AIOD platform (WP11)
    • Dissemination (WP12)
    • Ethics (WP13)
  • FUNDING
    • Connectivity Fund
      • Connectivity fund: How it works & how to apply
      • Connectivity fund: funded projects
    • Collaboration Exchange Fund
      • CEF How it works
      • CEF: Funded projects
    • Scientific board
  • RESULTS
    • Roadmap
    • Handbook
    • Scientific Publications
    • Deliverables
  • NEWS & EVENTS
    • News
    • Events
    • 1st Tailor conference
    • 2nd TAILOR Conference
      • Programme
      • Poster sessions
      • Venues
    • 3rd TAILOR conference
    • Challenges
    • Theme Development Workshops

CONNECTIVITY FUND

Funded projects

  • Towards Explainable and Unsupervised Concept Discovery for Flood DetectionTowards Explainable and Unsupervised Concept
  • Samples Selection with Group Metric for Experience Replay in Continual Learning
  • Large Scale Combinatorial Graybox Optimization
  • Making big benchmarks more trustworthy: Identifying the capabilities and limitations of language models by improving the BIG-Bench benchmark
  • Learning Neural Algebras
  • Learning trustworthy models from positive and unlabelled data
  • Imagining the landscape after the AI Act
  • A Modular Framework for Hybrid Participatory Systems
  • Trustworthy AI for human behavior prediction by autonomous
  • Graph Gaussian Processes for Interactive Robot Task Learning
  • Multi-Objective Statistically Robust Algorithm Ranking
  • Deep fake videos detection through Explainable AI
  • Modeling others for cooperation under imperfect information
  • Logic-based multi-agent reinforcement learning
  • Conformal Inference for multivariate, complex, and heterogeneous data
  • Neuro-symbolic integration for graph data
  • Private Continual Learning from a Stream of Pretrained Models
  • Matheuristic Techniques for Timetabling Problems
  • 1st International Joint Conference on Learning & Reasoning

Funded by EU Horizon 2020.

Copyright © 2023 TAILOR
Contact: Coordinator Fredrik Heintz, fredrik.heintz@liu.se.