107 citations · 136 across the 8 of their papers we have counts for
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stat.ML2016★ 10 cited
Neural Network Architecture Optimization through Submodularity and Supermodularity
Junqi Jin, Ziang Yan, Kun Fu +2
Deep learning models' architectures, including depth and width, are key factors influencing models' performance, such as test accuracy and computation time. This paper solves two p…
stat.ML2016★ 1 cited
Optimizing Recurrent Neural Networks Architectures under Time Constraints
Junqi Jin, Ziang Yan, Kun Fu +2
Recurrent neural network (RNN)'s architecture is a key factor influencing its performance. We propose algorithms to optimize hidden sizes under running time constraint. We convert…