34 citations · 96 across the 7 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.DC2019★ 7 cited
RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing
Liu Ke, Udit Gupta, Carole-Jean Wu +18
Personalized recommendation systems leverage deep learning models and account for the majority of data center AI cycles. Their performance is dominated by memory-bound sparse embed…
cs.LG2019★ 2 cited
Neural Network-Inspired Analog-to-Digital Conversion to Achieve Super-Resolution with Low-Precision RRAM Devices
Weidong Cao, Liu Ke, Ayan Chakrabarti +1
Recent works propose neural network- (NN-) inspired analog-to-digital converters (NNADCs) and demonstrate their great potentials in many emerging applications. These NNADCs often r…
cs.RO2019★ 16 cited
Simple Physical Adversarial Examples against End-to-End Autonomous Driving Models
Adith Boloor, Xin He, Christopher Gill +2
Recent advances in machine learning, especially techniques such as deep neural networks, are promoting a range of high-stakes applications, including autonomous driving, which ofte…