649 citations · 2.1k across the 52 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
cs.CV2018★ 23 cited
Progressive Feature Alignment for Unsupervised Domain Adaptation
Chaoqi Chen, Weiping Xie, Wenbing Huang +5
Unsupervised domain adaptation (UDA) transfers knowledge from a label-rich source domain to a fully-unlabeled target domain. To tackle this task, recent approaches resort to discri…
cs.CV2018★ 225 cited
Adaptive Sampling Towards Fast Graph Representation Learning
Wenbing Huang, Tong Zhang, Yu Rong +1
Graph Convolutional Networks (GCNs) have become a crucial tool on learning representations of graph vertices. The main challenge of adapting GCNs on large-scale graphs is the scala…
cs.LG2018★ 4 cited
On the Acceleration of L-BFGS with Second-Order Information and Stochastic Batches
Jie Liu, Yu Rong, Martin Takac +1
This paper proposes a framework of L-BFGS based on the (approximate) second-order information with stochastic batches, as a novel approach to the finite-sum minimization problems.…