Simultaneously Learning Architectures and Features of Deep Neural Networks

11 Jun 2019Tinghuai WangLixin FanHuiling Wang

This paper presents a novel method which simultaneously learns the number of filters and network features repeatedly over multiple epochs. We propose a novel pruning loss to explicitly enforces the optimizer to focus on promising candidate filters while suppressing contributions of less relevant ones... (read more)

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