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05/30/2023
Prediction Error-based Classification for Class-Incremental Learning
Class-incremental learning (CIL) is a particularly challenging variant o...
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04/03/2023
Knowledge Accumulation in Continually Learned Representations and the Issue of Feature Forgetting
By default, neural networks learn on all training data at once. When suc...
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11/24/2020
Energy-Based Models for Continual Learning
We motivate Energy-Based Models (EBMs) as a promising model class for co...
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04/15/2019
Three scenarios for continual learning
Standard artificial neural networks suffer from the well-known issue of ...
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09/27/2018
