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Intro
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Classroom Contents
Storage Policy in Continual Learning: Different Approaches for Different Scenarios
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- 1 Intro
- 2 Deep Learning: How does it works?
- 3 Training
- 4 Distribution Drifts
- 5 Adapting to change
- 6 Humans are Flexible Learners
- 7 Approach to Continual Learning
- 8 Replay-Based Approach
- 9 Storage Policy in Replay-Based methods
- 10 Attributes of a reliable memory
- 11 Fast Recovery
- 12 High and Low Consistency
- 13 Consistency AWare Sampling (CAWS)
- 14 Limitations of CAWS
- 15 C-Score Proxies
- 16 Limitations in CL
- 17 Class Incremental with Repetition (CIR)
- 18 Conclusions
- 19 Questions?
- 20 Scenario Generator
