23 citations · 72 across the 11 of their papers we have counts for
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cs.LG2023★ 19 cited
Multi-Label Knowledge Distillation
Penghui Yang, Ming-Kun Xie, Chen-Chen Zong +4
Existing knowledge distillation methods typically work by imparting the knowledge of output logits or intermediate feature maps from the teacher network to the student network, whi…
cs.CV2023
SDFReg: Learning Signed Distance Functions for Point Cloud Registration
Leida Zhang, Zhengda Lu, Kai Liu +1
Learning-based point cloud registration methods can handle clean point clouds well, while it is still challenging to generalize to noisy, partial, and density-varying point clouds.…
cs.LG2023★ 1 cited
On the Importance of Feature Separability in Predicting Out-Of-Distribution Error
Renchunzi Xie, Hongxin Wei, Lei Feng +2
Estimating the generalization performance is practically challenging on out-of-distribution (OOD) data without ground-truth labels. While previous methods emphasize the connection…