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Found 3 papers, 2 papers with code
Generative Multi-modal Models are Good Class-Incremental Learners
In class-incremental learning (CIL) scenarios, the phenomenon of catastrophic forgetting caused by the classifier's bias towards the current task has long posed a significant challenge.
Class Incremental Learning with Pre-trained Vision-Language Models
We also propose a method for parameter retention in the adapter layers that uses a measure of parameter importance to better maintain stability and plasticity during incremental learning.
DeepDrug: A General Graph-Based Deep Learning Framework for Drug Relation Prediction
Computational approaches for accurate predictions of drug-related interactions such as drug-drug interactions (DDIs) and drug-target interactions (DTIs) are highly demanding for biochemical researchers due to their efficiency and cost-effectiveness.
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