Continual Learning Course
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  • Continual Learning: On Machines that can Learn Continually
  • Background
    • ๐Ÿ”กPrerequisites
    • ๐Ÿ› ๏ธTools & Setup
    • ๐Ÿ“‘Course Details
  • Lectures
    • ๐Ÿ“Introduction & Motivation
    • ๐Ÿ“Understanding Catastrophic Forgetting
    • ๐Ÿ“Scenarios & Benchmarks
    • ๐Ÿ“Evaluation & Metrics
    • ๐Ÿ“Methodologies [Part 1]
    • ๐Ÿ“Methodologies [Part 2]
    • ๐Ÿ“Methodologies [Part 3], Applications & Tools
    • ๐Ÿ“Frontiers in Continual Learning
  • Invited & Extra Lectures
    • ๐Ÿ’ปAvalanche Dev Day
    • ๐Ÿ”ฎInvited Talks
  • Resources
    • ๐Ÿ“šCourse Materials
    • ๐Ÿ”€Additional Material
  • About Us
    • ๐Ÿ‘จโ€๐ŸซYour Instructor
    • ๐Ÿ†˜Teaching Assistants
  • Useful Links
    • Avalanche
    • Forum
    • Colab
    • Wiki
    • Open World Lifelong Learning Course
    • ContinualAI
    • Join us on Slack!
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  1. Lectures

๐Ÿ“Scenarios & Benchmarks

Show me your Data!

Lecture #3: Scenarios & Benchmarks - Video Recording
Lecture #3: Scenarios & Benchmarks - Slides
2MB
03_benchmarks.pdf
pdf
Slides PDF

In this lecture we will address the following points:

  • Possible continual learning scenarios

  • Existing and commonly used benchmarks

  • Avalanche Benchmarks

PreviousUnderstanding Catastrophic ForgettingNextEvaluation & Metrics

Last updated 3 years ago

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