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)

PDF Abstract

Evaluation results from the paper


  Submit results from this paper to get state-of-the-art GitHub badges and help community compare results to other papers.