1.2k citations · 1.5k across the 17 of their papers we have counts for
Showing 2017Show all
3 papers · 1 filter
cs.DC2017
Slim-DP: A Light Communication Data Parallelism for DNN
Shizhao Sun, Wei Chen, Jiang Bian +2
Data parallelism has emerged as a necessary technique to accelerate the training of deep neural networks (DNN). In a typical data parallelism approach, the local workers push the l…
cs.LG2017★ 72 cited
Dual Supervised Learning
Yingce Xia, Tao Qin, Wei Chen +3
Many supervised learning tasks are emerged in dual forms, e.g., English-to-French translation vs. French-to-English translation, speech recognition vs. text to speech, and image cl…
cs.LG2017★ 54 cited
Learning What Data to Learn
Yang Fan, Fei Tian, Tao Qin +2
Machine learning is essentially the sciences of playing with data. An adaptive data selection strategy, enabling to dynamically choose different data at various training stages, ca…