108 citations · 165 across the 11 of their papers we have counts for
Showing 2021Show all
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cs.LG2021★ 1 cited
BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule
Miao Zhang, Jilin Hu, Steven Su +4
Differentiable Architecture Search (DARTS) has received massive attention in recent years, mainly because it significantly reduces the computational cost through weight sharing and…
cs.LG2021★ 16 cited
iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients
Miao Zhang, Steven Su, Shirui Pan +3
\textit{Differentiable ARchiTecture Search} (DARTS) has recently become the mainstream of neural architecture search (NAS) due to its efficiency and simplicity. With a gradient-bas…
cs.LG2021
Connection Sensitivity Matters for Training-free DARTS: From Architecture-Level Scoring to Operation-Level Sensitivity Analysis
Miao Zhang, Wei Huang, Li Wang
The recently proposed training-free NAS methods abandon the training phase and design various zero-cost proxies as scores to identify excellent architectures, arousing extreme comp…