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Single-Input Multi-Output Model Merging: Leveraging Foundation Models for Dense Multi-Task Learning
Juan Garcia Giraldo, Nikolaos Dimitriadis, Ke Wang, Pascal Frossard
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Benefits of Max Pooling in Neural Networks: Theoretical and Experimental Evidence
When deep neural networks became state of the art image classifiers, numerous max pooling operations were an important component of the …
Kyle Matoba, Nikolaos Dimitriadis, Francois Fleuret
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