61 citations · 100 across the 12 of their papers we have counts for
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cs.LG2021
i-SpaSP: Structured Neural Pruning via Sparse Signal Recovery
Cameron R. Wolfe, Anastasios Kyrillidis
We propose a novel, structured pruning algorithm for neural networks -- the iterative, Sparse Structured Pruning algorithm, dubbed as i-SpaSP. Inspired by ideas from sparse signal…
cs.LG2012★ 61 cited
Sparse projections onto the simplex
Anastasios Kyrillidis, Stephen Becker, Volkan Cevher and +1
Most learning methods with rank or sparsity constraints use convex relaxations, which lead to optimization with the nuclear norm or the -norm. However, several important le…