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Found 2 papers, 2 papers with code
The Implicit Bias of Depth: How Incremental Learning Drives Generalization
A leading hypothesis for the surprising generalization of neural networks is that the dynamics of gradient descent bias the model towards simple solutions, by searching through the solution space in an incremental order of complexity.
Discriminative Active Learning
We propose a new batch mode active learning algorithm designed for neural networks and large query batch sizes.
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