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Showing 2017 · cs.LGShow all
2 papers · 2 filters
cs.LG2017★ 8 cited
Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers
Quanming Yao, James T. Kwok, Taifeng Wang +1
Low-rank modeling has many important applications in computer vision and machine learning. While the matrix rank is often approximated by the convex nuclear norm, the use of noncon…
cs.LG2017★ 72 cited
Dual Supervised Learning
Yingce Xia, Tao Qin, Wei Chen +3
Many supervised learning tasks are emerged in dual forms, e.g., English-to-French translation vs. French-to-English translation, speech recognition vs. text to speech, and image cl…