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Questions and Answers
What is the main purpose of Memory-based methods in preventing catastrophic forgetting?
Rehearsing old samples stored in memory
What are the pros and cons of Architecture growing methods in preventing catastrophic forgetting?
Pros: Freezing some weights effectively copes with catastrophic forgetting. Cons: Scalability
Which method involves defining a new neural network ('column') per task and using lateral connections to exploit previous knowledge?
Progressive Neural Networks (PNN)
What are some considerations highlighted in the text regarding Memory-based methods?
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What is the main focus of the visual transformers approach DyTox?
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How does Class Adaptive Aggregation (AANets) update different sets of parameters?
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What is the goal of Gradient Episodic Memory (GEM) with respect to backward transfer?
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What problem does Class-wise Decorrelation (CwD) aim to avoid in learning?
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What is the overall goal of weakly-supervised class-incremental learning for SiS models?
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Name one crucial point in class-incremental learning highlighted in the text.
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What type of annotations are typically used for base classes in weakly-supervised class-incremental learning?
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In weakly-supervised class-incremental learning, what are the annotations like for new classes?
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