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Found 2 papers, 2 papers with code
Negotiated Representations to Prevent Forgetting in Machine Learning Applications
By evaluating our method on these challenging datasets, we aim to showcase its potential for addressing catastrophic forgetting and improving the performance of neural networks in continual learning settings.
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Negotiated Representations for Machine Mearning Application
Overfitting is a phenomenon that occurs when a machine learning model is trained for too long and focused too much on the exact fitness of the training samples to the provided training labels and cannot keep track of the predictive rules that would be useful on the test data.
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