Continual Learning Course
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  • Continual Learning: On Machines that can Learn Continually
  • Background
    • 🔡Prerequisites
    • 🛠️Tools & Setup
    • 📑Course Details
  • Lectures
    • 📍Introduction & Motivation
    • 📍Understanding Catastrophic Forgetting
    • 📍Scenarios & Benchmarks
    • 📍Evaluation & Metrics
    • 📍Methodologies [Part 1]
    • 📍Methodologies [Part 2]
    • 📍Methodologies [Part 3], Applications & Tools
    • 📍Frontiers in Continual Learning
  • Invited & Extra Lectures
    • 💻Avalanche Dev Day
    • 🔮Invited Talks
  • Resources
    • 📚Course Materials
    • 🔀Additional Material
  • About Us
    • 👨‍🏫Your Instructor
    • 🆘Teaching Assistants
  • Useful Links
    • Avalanche
    • Forum
    • Colab
    • Wiki
    • Open World Lifelong Learning Course
    • ContinualAI
    • Join us on Slack!
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  1. About Us

Teaching Assistants

Your Teaching Assistants

PreviousYour Instructor

Last updated 3 years ago

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This course would have not been possible without the help of two great teaching assistants: and ! They helped us significantly improve the quality of the material and offered their technical/didactic support along the entirety of the course!

Please refer to them and the for any issue you may have.

is a PhD Student in Data Science, under the supervision of , and . His research focuses on Continual Learning, with applications to Recurrent Neural Networks models and sequential data processing. He is a member of the and of the group at University of Pisa. He is a Board Member and Treasurer of . He is also the Principal Maintainer of and one of the main maintainers of , an End-to-End library for Continual Learning based on .

is a Post-Doc in the Department of Computer Science at the University of Pisa, under the supervision of Davide Bacciu. He is also a member of the Computational intelligence and Machine Learning group ( ) and Pervasive AI Lab ( ) at the University of Pisa, and a member of ContinualAI. His research is focused on continual learning methods applied to deep learning models and recurrent neural networks.

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Antonio Carta
CIML
PAI
Antonio Carta
Andrea Cossu
course instructor
Andrea Cossu
Davide Bacciu
Vincenzo Lomonaco
Anna Monreale
Pervasive AI Lab
Computational Intelligence and Machine Learning (CIML)
ContinualAI
ContinualAI wiki
Avalanche
PyTorch
Andrea Cossu
Antonio Carta