distance function
cfb95059128406d088ccb7b01bb2af6e-Paper-Conference.pdf
Neural implicit function based on signed distance field (SDF) has achieved impressiveprogress inreconstructing 3Dmodels withhighfidelity. However,such approaches canonlyrepresent closed surfaces.
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KD-Zero: Evolving Knowledge Distiller for Any Teacher-Student Pairs
Knowledge distillation (KD) has emerged as an effective technique for compressing models that can enhance the lightweight model. Conventional KD methods propose various designs to allow student model to imitate the teacher better.
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Faster Linear Algebra for Distance Matrices
Such complexities are prohibitive for scaling to large datasets.
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Checklist
A.1 Singleclasscase The properties of Lebesgue measure over euclidean spaceRn are recalled in [78].
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