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The Joint Effect of Task Similarity and Overparameterization on Catastrophic Forgetting -- An Analytical Model
Previous works have analyzed separately how forgetting is affected by either task similarity or overparameterization.
Analysis of Catastrophic Forgetting for Random Orthogonal Transformation Tasks in the Overparameterized Regime
We show experimentally that in permuted MNIST image classification tasks, the generalization performance of multilayer perceptrons trained by vanilla stochastic gradient descent can be improved by overparameterization, and the extent of the performance increase achieved by overparameterization is comparable to that of state-of-the-art continual learning algorithms.
Causal Inference via Conditional Kolmogorov Complexity using MDL Binning
Recent developments have linked causal inference with Algorithmic Information Theory, and methods have been developed that utilize Conditional Kolmogorov Complexity to determine causation between two random variables.
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