7 citations · 7 across the 2 of their papers we have counts for
3 papers
math.OC2023
Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold
Jun Chen, Haishan Ye, Mengmeng Wang +4
The conjugate gradient method is a crucial first-order optimization method that generally converges faster than the steepest descent method, and its computational cost is much lowe…
cs.CV2023★ 7 cited
On the Robustness of Segment Anything
Yihao Huang, Yue Cao, Tianlin Li +5
Segment anything model (SAM) has presented impressive objectness identification capability with the idea of prompt learning and a new collected large-scale dataset. Given a prompt…
cs.LG2023
Adversary-Aware Partial label learning with Label distillation
Cheng Chen, Yueming Lyu, Ivor W. Tsang
To ensure that the data collected from human subjects is entrusted with a secret, rival labels are introduced to conceal the information provided by the participants on purpose. Th…