10 citations · 27 across the 6 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
cs.LG2020★ 10 cited
FedSiam: Towards Adaptive Federated Semi-Supervised Learning
Zewei Long, Liwei Che, Yaqing Wang +5
Federated learning (FL) has emerged as an effective technique to co-training machine learning models without actually sharing data and leaking privacy. However, most existing FL me…
cs.CL2020★ 2 cited
Benchmarking Automated Clinical Language Simplification: Dataset, Algorithm, and Evaluation
Junyu Luo, Zifei Zheng, Hanzhong Ye +5
Patients with low health literacy usually have difficulty understanding medical jargon and the complex structure of professional medical language. Although some studies are propose…
cs.CV2020
SparseTrain: Exploiting Dataflow Sparsity for Efficient Convolutional Neural Networks Training
Pengcheng Dai, Jianlei Yang, Xucheng Ye +5
Training Convolutional Neural Networks (CNNs) usually requires a large number of computational resources. In this paper, \textit{SparseTrain} is proposed to accelerate CNN training…