LaPrune: controllable differentiable sparsity at million scale.
Read the original at arxiv.org→arXiv:2608.04057v1 Announce Type: new Abstract: Top-$k$ selection determines which components of a sparse model remain active. Hard selection blocks gradients, while continuous relaxations often couple mask hardness...
Original headline: "LaPrune: Controllable Differentiable Sparsity at Million Scale"
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- Aug 6, 04:00 UTC arXiv cs.LG lead source LaPrune: Controllable Differentiable Sparsity at Million Scale