On sequential Bayesian inference for continual learning
Sequential Bayesian inference can be used for continual learning to prevent catastrophic forgetting of past tasks and provide an informative prior when learning new tasks. We revisit sequential Bayesian inference and assess whether using the previous task’s posterior as a prior for a new task can pr...
| Main Authors: | , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
MDPI
2023
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