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Found 2 papers, 1 papers with code
The geometry of integration in text classification RNNs
Using tools from dynamical systems analysis, we study recurrent networks trained on a battery of both natural and synthetic text classification tasks.
Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics
A central challenge in developing versatile machine learning systems is catastrophic forgetting: a model trained on tasks in sequence will suffer significant performance drops on earlier tasks.
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