28 citations · 44 across the 5 of their papers we have counts for
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stat.ML2017★ 8 cited
Learning with Biased Complementary Labels
Xiyu Yu, Tongliang Liu, Mingming Gong +1
In this paper, we study the classification problem in which we have access to easily obtainable surrogate for true labels, namely complementary labels, which specify classes that o…
stat.ML2017★ 28 cited
Transfer Learning with Label Noise
Xiyu Yu, Tongliang Liu, Mingming Gong +3
Transfer learning aims to improve learning in target domain by borrowing knowledge from a related but different source domain. To reduce the distribution shift between source and t…
stat.ML2016★ 3 cited
Variance-Reduced Proximal Stochastic Gradient Descent for Non-convex Composite optimization
Xiyu Yu, Dacheng Tao
Here we study non-convex composite optimization: first, a finite-sum of smooth but non-convex functions, and second, a general function that admits a simple proximal mapping. Most…