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cs.LG2024
What to Do When Your Discrete Optimization Is the Size of a Neural Network?
Hugo Silva, Martha White
Oftentimes, machine learning applications using neural networks involve solving discrete optimization problems, such as in pruning, parameter-isolation-based continual learning and…
cs.LG2019
Winning the Lottery with Continuous Sparsification
Pedro Savarese, Hugo Silva, Michael Maire
The search for efficient, sparse deep neural network models is most prominently performed by pruning: training a dense, overparameterized network and removing parameters, usually v…