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
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  • Course Objective
  • Course Details
  • Lecture Details

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  1. Background

Course Details

The Main Details of the Course and Class Timetable

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Last updated 3 years ago

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In this page you'll find all the relevant details of the "Continual Learning" course. Please check this page from time to time as class timetables may be subject to change.

Course Objective

In this course you'll learn the fundamentals of Continual Learning with Deep Architectures. At the end of this course you can expect to possess the basic theoretical and practical knowledge that would enable you to autonomously explore more advanced topics and frontiers in this exciting research area. You will also able to apply such skills to your own research topics and real-world applications.

Course Details

Modality: Mixed In-person / Remote

Where: University of Pisa, , "Sala Polifunzionale" and "Sala Seminari Est" (check ), Largo B. Pontecorvo, 356127, Pisa, Italy. The link to the Microsoft Teams will be sent via email to the registered participants.

Lectures plan: Every Monday and Wednesday 16-18 CEST (there may be exceptions)

Period: 22/11/2021 - 20/12/2021

Language: English

Lecture Details

The course will be based on 8 main lectures (2 hours each) and a final session composed of 2 invited talks. You can click on each lecture to check the outline and see the recorded lecture finished.

  1. (22/11)

    Location: "Sala Polifunzionale" & Remote

  2. (24/11)

    Location: "Sala Seminari Est" & Remote

  3. (29-11)

    Location: Remote only

  4. (1-12)

    Location: Remote only

  5. (6-12)

    Location: "Sala Seminari Est" & Remote

  6. (9-12)

    Location: "Sala Seminari Est" & Remote

  7. (13-12)

    Location: "Sala Seminari Est" & Remote

  8. (15-12)

    Location: "Sala Seminari Est" & Remote

  9. (16-12)

    Location: "Sala Seminari Est" & Remote

  10. (20-12)

    Location: "Sala Seminari Est" & Remote

📑
Department of Computer Science
Introduction & Motivation
Understanding Catastrophic Forgetting
Scenarios & Benchmarks
Evaluation & Metrics
Methodologies [part 1]
Methodologies [part 2]
Methodologies [part 3] & Applications
Frontiers in Continual Learning
Avalanche Dev Day
Invited Lectures
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