activity
20162021
most citedTransfer Learning with Label Noise

28 citations · 44 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2021★ 5 cited

FaceController: Controllable Attribute Editing for Face in the Wild

Zhiliang Xu, Xiyu Yu, Zhibin Hong +5

Face attribute editing aims to generate faces with one or multiple desired face attributes manipulated while other details are preserved. Unlike prior works such as GAN inversion,…

cs.CV2020

NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results

Abdelrahman Abdelhamed, Mahmoud Afifi, Radu Timofte +87

This paper reviews the NTIRE 2020 challenge on real image denoising with focus on the newly introduced dataset, the proposed methods and their results. The challenge is a new versi…

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…