565 citations · 612 across the 42 of their papers we have counts for
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cs.LG2018
Learning to Speed Up Structured Output Prediction
Xingyuan Pan, Vivek Srikumar
Predicting structured outputs can be computationally onerous due to the combinatorially large output spaces. In this paper, we focus on reducing the prediction time of a trained bl…
cs.LG2018
Newton: Gravitating Towards the Physical Limits of Crossbar Acceleration
Anirban Nag, Ali Shafiee, Rajeev Balasubramonian +2
Many recent works have designed accelerators for Convolutional Neural Networks (CNNs). While digital accelerators have relied on near data processing, analog accelerators have furt…