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cs.LG2024
Parallel Algorithms for Exact Enumeration of Deep Neural Network Activation Regions
Sabrina Drammis, Bowen Zheng, Karthik Srinivasan +3
A feedforward neural network using rectified linear units constructs a mapping from inputs to outputs by partitioning its input space into a set of convex regions where points with…
cs.LG2018★ 103 cited
Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference
Matthew Riemer, Ignacio Cases, Robert Ajemian +4
Lack of performance when it comes to continual learning over non-stationary distributions of data remains a major challenge in scaling neural network learning to more human realist…