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20202026
most citedA Differentiable Framework for End-to-End Learning of Hybrid Structured Compression

1 citations · 4 across the 6 of their papers we have counts for

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cs.LG2023★ 1 cited

A Differentiable Framework for End-to-End Learning of Hybrid Structured Compression

Moonjung Eo, Suhyun Kang, Wonjong Rhee

Filter pruning and low-rank decomposition are two of the foundational techniques for structured compression. Although recent efforts have explored hybrid approaches aiming to integ…

cs.CV2023★ 1 cited

Meta-Learning with a Geometry-Adaptive Preconditioner

Suhyun Kang, Duhun Hwang, Moonjung Eo +2

Model-agnostic meta-learning (MAML) is one of the most successful meta-learning algorithms. It has a bi-level optimization structure where the outer-loop process learns a shared in…