Budgeted Training: Rethinking Deep Neural Network Training Under Resource Constraints

12 May 2019Mengtian LiErsin YumerDeva Ramanan

In most practical settings and theoretical analysis, one assumes that a model can be trained until convergence. However, the growing complexity of machine learning datasets and models may violate such assumptions... (read more)

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