776 citations · 2.2k across the 24 of their papers we have counts for
Showing 2016 · cs.LGShow all
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cs.LG2016★ 3 cited
Sketching and Neural Networks
Amit Daniely, Nevena Lazic, Yoram Singer +1
High-dimensional sparse data present computational and statistical challenges for supervised learning. We propose compact linear sketches for reducing the dimensionality of the inp…
cs.LG2016★ 187 cited
Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity
Amit Daniely, Roy Frostig, Yoram Singer
We develop a general duality between neural networks and compositional kernels, striving towards a better understanding of deep learning. We show that initial representations gener…