activity
20182023
most citedReLeQ: A Reinforcement Learning Approach for Deep Quantization of Neural Networks

43 citations · 49 across the 6 of their papers we have counts for

collaborators
Showing 2019Show all

1 paper · 1 filter

cs.AR2019

Mixed-Signal Charge-Domain Acceleration of Deep Neural networks through Interleaved Bit-Partitioned Arithmetic

Soroush Ghodrati, Hardik Sharma, Sean Kinzer +5

Low-power potential of mixed-signal design makes it an alluring option to accelerate Deep Neural Networks (DNNs). However, mixed-signal circuitry suffers from limited range for inf…