output
20092026
most cited6G White Paper on Edge Intelligence

126 citations

Showing 2020Show all

11 papers · 1 filter

cs.CL2020★ 45 cited

BinaryBERT: Pushing the Limit of BERT Quantization

Haoli Bai, Wei Zhang, Lu Hou +6

The rapid development of large pre-trained language models has greatly increased the demand for model compression techniques, among which quantization is a popular solution. In thi…

cs.LG2020

MOFA: Modular Factorial Design for Hyperparameter Optimization

Bo Xiong, Yimin Huang, Hanrong Ye +2

This paper presents a novel and lightweight hyperparameter optimization (HPO) method, MOdular FActorial Design (MOFA). MOFA pursues several rounds of HPO, where each round alternat…

cs.CV2020★ 3 cited

MLOD: Awareness of Extrinsic Perturbation in Multi-LiDAR 3D Object Detection for Autonomous Driving

Jianhao Jiao, Peng Yun, Lei Tai +1

Extrinsic perturbation always exists in multiple sensors. In this paper, we focus on the extrinsic uncertainty in multi-LiDAR systems for 3D object detection. We first analyze the…

cs.NI2020★ 13 cited

NetReduce: RDMA-Compatible In-Network Reduction for Distributed DNN Training Acceleration

Shuo Liu, Qiaoling Wang, Junyi Zhang +5

We present NetReduce, a novel RDMA-compatible in-network reduction architecture to accelerate distributed DNN training. Compared to existing designs, NetReduce maintains a reliable…

eess.AS2020★ 41 cited

Neural Architecture Search For Keyword Spotting

Tong Mo, Yakun Yu, Mohammad Salameh +2

Deep neural networks have recently become a popular solution to keyword spotting systems, which enable the control of smart devices via voice. In this paper, we apply neural archit…

stat.ML2020★ 6 cited

Provable More Data Hurt in High Dimensional Least Squares Estimator

Zeng Li, Chuanlong Xie, Qinwen Wang

This paper investigates the finite-sample prediction risk of the high-dimensional least squares estimator. We derive the central limit theorem for the prediction risk when both the…