63 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Shanghai Jiao Tong UniversityCN21 papers
- Institute of Applied Physics and Computational MathematicsCN4 papers
- Peking UniversityCN4 papers
- Chinese Academy of SciencesCN2 papers
- Harvard UniversityUS2 papers
- Kyung Hee UniversityKR2 papers
- Shanghai Artificial Intelligence LaboratoryCN2 papers
- Southeast UniversityCN2 papers
- University College LondonGB2 papers
- University of WashingtonUS2 papers
- Ajou UniversityKR1 paper
- Art Institute of PortlandUS1 paper
4 papers · 1 filter
Discriminative Radial Domain Adaptation
Zenan Huang, Jun Wen, Siheng Chen +2
Domain adaptation methods reduce domain shift typically by learning domain-invariant features. Most existing methods are built on distribution matching, e.g., adversarial domain ad…
Cooperative Learning for Noisy Supervision
Hao Wu, Jiangchao Yao, Ya Zhang +1
Learning with noisy labels has gained the enormous interest in the robust deep learning area. Recent studies have empirically disclosed that utilizing dual networks can enhance the…
Collaborative Label Correction via Entropy Thresholding
Hao Wu, Jiangchao Yao, Jiajie Wang +3
Deep neural networks (DNNs) have the capacity to fit extremely noisy labels nonetheless they tend to learn data with clean labels first and then memorize those with noisy labels. W…
Nonconvex Sparse Spectral Clustering by Alternating Direction Method of Multipliers and Its Convergence Analysis
Canyi Lu, Jiashi Feng, Zhouchen Lin +1
Spectral Clustering (SC) is a widely used data clustering method which first learns a low-dimensional embedding of data by computing the eigenvectors of the normalized Laplacia…