Podcast
Questions and Answers
What is the main purpose of Memory-based methods in preventing catastrophic forgetting?
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?
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?
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?
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?
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?
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?
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?
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?
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.
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?
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?
In weakly-supervised class-incremental learning, what are the annotations like for new classes?
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