14 citations · 40 across the 10 of their papers we have counts for
Showing 2017Show all
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stat.ML2017★ 9 cited
A Data and Model-Parallel, Distributed and Scalable Framework for Training of Deep Networks in Apache Spark
Disha Shrivastava, Santanu Chaudhury, Dr. Jayadeva
Training deep networks is expensive and time-consuming with the training period increasing with data size and growth in model parameters. In this paper, we provide a framework for…
cs.LG2017★ 4 cited
A Machine Learning Approach for Evaluating Creative Artifacts
Disha Shrivastava, Saneem Ahmed CG, Anirban Laha +1
Much work has been done in understanding human creativity and defining measures to evaluate creativity. This is necessary mainly for the reason of having an objective and automatic…