2 papers
cs.LG2023
Using Cooperative Game Theory to Prune Neural Networks
Mauricio Diaz-Ortiz, Benjamin Kempinski, Daphne Cornelisse +2
We show how solution concepts from cooperative game theory can be used to tackle the problem of pruning neural networks. The ever-growing size of deep neural networks (DNNs) increa…
cs.LG2022
Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members
Daphne Cornelisse, Thomas Rood, Mateusz Malinowski +2
In many multi-agent settings, participants can form teams to achieve collective outcomes that may far surpass their individual capabilities. Measuring the relative contributions of…