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Vincent Szolnoky: Model Gradient Similarity

At RISE Learning Machines Seminar on Feb 2 2023, we have the pleasure to listen to Vincent Szolnoky, Chalmers, give his talk: On the Interpretability of Regularisation for Neural Networks Through Model Gradient Similarity. Seminariet är på engelska.

– Artificial neural networks often require the aid of explicit regularisers. In this talk, a new framework named Model Gradient Similarity (MGS) will be introduced.

Abstract

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About the speaker

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