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11/14/2022
Hierarchically Structured Task-Agnostic Continual Learning
One notable weakness of current machine learning algorithms is the poor ...
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10/25/2021
Mixture-of-Variational-Experts for Continual Learning
One significant shortcoming of machine learning is the poor ability of m...
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11/30/2020
Binary Classification: Counterbalancing Class Imbalance by Applying Regression Models in Combination with One-Sided Label Shifts
In many real-world pattern recognition scenarios, such as in medical app...
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11/03/2020
Specialization in Hierarchical Learning Systems
Joining multiple decision-makers together is a powerful way to obtain mo...
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10/31/2019
Hierarchical Expert Networks for Meta-Learning
The goal of meta-learning is to train a model on a variety of learning t...
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07/26/2019
An Information-theoretic On-line Learning Principle for Specialization in Hierarchical Decision-Making Systems
Information-theoretic bounded rationality describes utility-optimizing d...
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09/04/2018