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Matches in SemOpenAlex for { <https://semopenalex.org/work/W2905233195> ?p ?o ?g. }

• W2905233195 abstract "The loss function of deep networks is known to be non-convex but the precise nature of this nonconvexity is still an active area of research. In this work, we study the loss landscape of deep networks through the eigendecompositions of their Hessian matrix. In particular, we examine how important the negative eigenvalues are and the benefits one can observe in handling them appropriately." @default.
• W2905233195 created "2018-12-22" @default.
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• W2905233195 creator A5026419383 @default.
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• W2905233195 date "2019-02-06" @default.
• W2905233195 modified "2023-10-01" @default.
• W2905233195 title "Negative eigenvalues of the Hessian in deep neural networks" @default.
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