12 citations · 17 across the 2 of their papers we have counts for
3 papers
cs.CV2018
Brenier approach for optimal transportation between a quasi-discrete measure and a discrete measure
Ying Lu, Liming Chen, Alexandre Saidi +1
Correctly estimating the discrepancy between two data distributions has always been an important task in Machine Learning. Recently, Cuturi proposed the Sinkhorn distance which mak…
cs.CV2017★ 12 cited
Discriminative and Geometry Aware Unsupervised Domain Adaptation
Lingkun Luo, Liming Chen, Shiqiang Hu +2
Domain adaptation (DA) aims to generalize a learning model across training and testing data despite the mismatch of their data distributions. In light of a theoretical estimation o…
cs.CV2017★ 5 cited
Optimal Transport for Deep Joint Transfer Learning
Ying Lu, Liming Chen, Alexandre Saidi
Training a Deep Neural Network (DNN) from scratch requires a large amount of labeled data. For a classification task where only small amount of training data is available, a common…